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Ageing Research Reviews

Guide for authors, about the journal, aims and scope, article types, peer review, open access, ethics and policies, ethics in publishing, submission declaration, changes to authorship, declaration of interests, funding sources, declaration of generative ai in scientific writing, use of inclusive language, reporting sex- and gender-based analyses, jurisdictional claims, writing and formatting, file format, graphical abstract, figures, images and artwork, generative ai and figures, images and artwork, supplementary material, research data, data linking, article structure, submitting your manuscript, submission checklist, after receiving a final decision, article transfer service, publishing agreement, license options, permission for copyrighted works, proof correction, responsible sharing, resources for authors, elsevier researcher academy, language and editing services, getting help and support, author support.

As the average human life expectancy has increased, so too has the impact of ageing and age-related disease on our society. Ageing research is now the focus of thousands of laboratories that include leaders in the areas of genetics, molecular and cellular biology, biochemistry, and behaviour. Ageing Research Reviews (ARR) covers the trends in this field. It is designed to fill a large void, namely, a source for critical reviews and viewpoints on emerging findings on mechanisms of ageing and age-related disease. Rapid advances in understanding of mechanisms that control cellular proliferation, differentiation and survival are leading to new insight into the regulation of ageing. From telomerase to stem cells to energy and oxyradical metabolism, this is an exciting new era in the multidisciplinary field of ageing research. The cellular and molecular underpinnings of manipulations that extend lifespan, such as caloric restriction, are being identified and novel approaches for preventing age-related diseases are being developed. ARR publishes articles on focussed topics selected from the broad field of ageing research, with an emphasis on cellular and molecular mechanisms of the aging process and age-related diseases such as cancer, cardiovascular disease, diabetes and neurodegenerative disorders. Applications of basic ageing research to lifespan extension and disease prevention are also covered in this journal.

Ageing Research Reviews (ARR) publishes critical reviews on emerging findings on mechanisms of ageing and age-related disease and authors can submit articles in three formats:

Review Article - provides an in-depth review of topics of interest to the journal's broad readership.

Short Review - focused on a timely aspect of a topic or review critical new findings. Submissions are typically around 2500 words.

View Point - a forum for authors to provide their own views on a topic and their vision of future research directions. Submissions are typically 2000 word limit and no more than 3 Figures.

This journal follows a single anonymized review process. Your submission will initially be assessed by our editors to determine suitability for publication in this journal. If your submission is deemed suitable, it will typically be sent to a minimum of two reviewers for an independent expert assessment of the scientific quality. The decision as to whether your article is accepted or rejected will be taken by our editors. Authors who wish to appeal the editorial decision for their manuscript may submit a formal appeal request in accordance with the procedure outlined in Elsevier’s Appeal Policy . Only one appeal per submission will be considered and the appeal decision will be final.

Read more about peer review .

Our editors are not involved in making decisions about papers which:

they have written themselves.

have been written by family members or colleagues.

relate to products or services in which they have an interest.

Any such submissions will be subject to the journal's usual procedures and peer review will be handled independently of the editor involved and their research group. Read more about editor duties .

Special issues and article collections

The peer review process for special issues and article collections follows the same process as outlined above for regular submissions, except, a guest editor will send the submissions out to the reviewers and recommend a decision to the journal editor. The journal editor oversees the peer review process of all special issues and article collections to ensure the high standards of publishing ethics and responsiveness are respected and is responsible for the final decision regarding acceptance or rejection of articles.

We refer you to our open access information page to learn about open access options for this journal.

Authors must follow ethical guidelines stated in Elsevier's Publishing Ethics Policy .

When authors submit an article to an Elsevier journal it is implied that:

the work described has not been published previously except in the form of a preprint, an abstract, a published lecture, academic thesis or registered report. See our policy on multiple, redundant or concurrent publication .

the article is not under consideration for publication elsewhere.

the article's publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out.

if accepted, the article will not be published elsewhere in the same form, in English or in any other language, including electronically without the written consent of the copyright-holder.

To verify compliance with our journal publishing policies, we may check your manuscript with our screening tools.

All authors should have made substantial contributions to all of the following:

The conception and design of the study, or acquisition of data, or analysis and interpretation of data.

Drafting the article or revising it critically for important intellectual content.

Final approval of the version to be submitted.

All authors should agree to be accountable for all aspects of the work to ensure that the questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

The editors of this journal generally will not consider changes to authorship once a manuscript has been submitted. It is important that authors carefully consider the authorship list and order of authors and provide a definitive author list at original submission.

The policy of this journal around authorship changes:

All authors must be listed in the manuscript and their details entered into the submission system.

Any addition, deletion or rearrangement of author names in the authorship list should only be made prior to acceptance, and only if approved by the journal editor.

Requests to change authorship should be made by the corresponding author, who must provide the reason for the request to the journal editor with written confirmation from all authors, including any authors being added or removed, that they agree with the addition, removal or rearrangement.

Only in exceptional circumstances will the journal editor consider the addition, deletion or rearrangement of authors post acceptance.

Publication of the manuscript may be paused while a change in authorship request is being considered.

Any authorship change requests approved by the journal editor will result in a corrigendum if the manuscript has already been published.

Any unauthorised authorship changes may result in the rejection of the article, or retraction, if the article has already been published.

All authors must disclose any financial and personal relationships with other people or organizations that could inappropriately influence or bias their work. Examples of potential competing interests include:

Consultancies

Stock ownership

Paid expert testimony

Patent applications or registrations

Grants or any other funding

The Declaration of Interests tool should always be completed.

Authors with no competing interests to declare should select the option, "I have nothing to declare".

The resulting Word document containing your declaration should be uploaded at the "attach/upload files" step in the submission process. It is important that the Word document is saved in the .doc/.docx file format. Author signatures are not required.

We advise you to read our policy on conflict of interest statements, funding source declarations, author agreements/declarations and permission notes .

Authors must disclose any funding sources who provided financial support for the conduct of the research and/or preparation of the article. The role of sponsors, if any, should be declared in relation to the study design, collection, analysis and interpretation of data, writing of the report and decision to submit the article for publication. If funding sources had no such involvement this should be stated in your submission.

List funding sources in this standard way to facilitate compliance to funder's requirements:

Funding: This work was supported by the National Institutes of Health [grant numbers xxxx, yyyy]; the Bill & Melinda Gates Foundation, Seattle, WA [grant number zzzz]; and the United States Institutes of Peace [grant number aaaa].

It is not necessary to include detailed descriptions on the program or type of grants, scholarships and awards. When funding is from a block grant or other resources available to a university, college, or other research institution, submit the name of the institute or organization that provided the funding.

If no funding has been provided for the research, it is recommended to include the following sentence:

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Authors must declare the use of generative AI in scientific writing upon submission of the paper. The following guidance refers only to the writing process, and not to the use of AI tools to analyse and draw insights from data as part of the research process:

Generative AI and AI-assisted technologies should only be used in the writing process to improve the readability and language of the manuscript.

The technology must be applied with human oversight and control and authors should carefully review and edit the result, as AI can generate authoritative-sounding output that can be incorrect, incomplete or biased. Authors are ultimately responsible and accountable for the contents of the work.

Authors must not list or cite AI and AI-assisted technologies as an author or co-author on the manuscript since authorship implies responsibilities and tasks that can only be attributed to and performed by humans.

The use of generative AI and AI-assisted technologies in scientific writing must be declared by adding a statement at the end of the manuscript when the paper is first submitted. The statement will appear in the published work and should be placed in a new section before the references list. An example:

Title of new section: Declaration of generative AI and AI-assisted technologies in the writing process.

Statement: During the preparation of this work the author(s) used [NAME TOOL / SERVICE] in order to [REASON]. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

The declaration does not apply to the use of basic tools, such as tools used to check grammar, spelling and references. If you have nothing to disclose, you do not need to add a statement.

We advise you to read our policy for authors on the use of generative AI and AI-assisted technologies for Elsevier.

Please note: to protect authors' rights and the confidentiality of their research, this journal does not currently allow the use of Generative AI or AI-assisted technologies such as ChatGPT or similar services by reviewers or editors in the peer review and manuscript evaluation process. We are actively evaluating compliant AI tools and may revise this policy in the future.

Preprint sharing

Authors may share preprints, anywhere and at any time, in line with Elsevier's article sharing policy . Sharing preprints, such as on a preprint server, will not count as prior publication.

We advise you to read our policy on multiple, redundant or concurrent publication .

Inclusive language acknowledges diversity, conveys respect to all people, is sensitive to differences, and promotes equal opportunities. Authors should ensure their work uses inclusive language throughout and contains nothing which might imply one individual is superior to another on the grounds of:

sexual orientation

disability or health condition

We recommend avoiding the use of descriptors about personal attributes unless they are relevant and valid. Write for gender neutrality with the use of plural nouns ("clinicians, patients/clients") as default. Wherever possible, avoid using "he, she," or "he/she."

No assumptions should be made about the beliefs of readers and writing should be free from bias, stereotypes, slang, reference to dominant culture and/or cultural assumptions.

These guidelines are meant as a point of reference to help you identify appropriate language but are by no means exhaustive or definitive.

There is no single, universally agreed-upon set of guidelines for defining sex and gender. We offer the following guidance:

Sex and gender-based analyses (SGBA) should be integrated into research design when research involves or pertains to humans, animals or eukaryotic cells. This should be done in accordance with any requirements set by funders or sponsors and best practices within a field.

Sex and/or gender dimensions of the research should be addressed within the article or declared as a limitation to the generalizability of the research.

Definitions of sex and/or gender applied should be explicitly stated to enhance the precision, rigor and reproducibility of the research and to avoid ambiguity or conflation of terms and the constructs to which they refer.

We advise you to read the Sex and Gender Equity in Research (SAGER) guidelines and the SAGER checklist (PDF) on the EASE website, which offer systematic approaches to the use of sex and gender information in study design, data analysis, outcome reporting and research interpretation.

For further information we suggest reading the rationale behind and recommended use of the SAGER guidelines .

Definitions of sex and/or gender

We ask authors to define how sex and gender have been used in their research and publication. Some guidance:

Sex generally refers to a set of biological attributes that are associated with physical and physiological features such as chromosomal genotype, hormonal levels, internal and external anatomy. A binary sex categorization (male/female) is usually designated at birth ("sex assigned at birth") and is in most cases based solely on the visible external anatomy of a newborn. In reality, sex categorizations include people who are intersex/have differences of sex development (DSD).

Gender generally refers to socially constructed roles, behaviors and identities of women, men and gender-diverse people that occur in a historical and cultural context and may vary across societies and over time. Gender influences how people view themselves and each other, how they behave and interact and how power is distributed in society.

Elsevier respects the decisions taken by its authors as to how they choose to designate territories and identify their affiliations in their published content. Elsevier’s policy is to take a neutral position with respect to territorial disputes or jurisdictional claims, including, but not limited to, maps and institutional affiliations. For journals that Elsevier publishes on behalf of a third party owner, the owner may set its own policy on these issues.

Maps: Readers should be able to locate any study areas shown within maps using common mapping platforms. Maps should only show the area actually studied and authors should not include a location map which displays a larger area than the bounding box of the study area. Authors should add a note clearly stating that " map lines delineate study areas and do not necessarily depict accepted national boundaries ”.  During the review process, Elsevier’s editors may request authors to change maps if these guidelines are not followed.

Institutional affiliations: Authors should use either the full, standard title of their institution or the standard abbreviation of the institutional name so that the institutional name can be independently verified for research integrity purposes.

We ask you to provide editable source files for your entire submission (including figures, tables and text graphics). Some guidelines:

Save files in an editable format, using the extension .doc/.docx for Word files and .tex for LaTeX files. A PDF is not an acceptable source file.

Lay out text in a single-column format.

Use spell-check and grammar-check functions to avoid errors.

We advise you to read our Step-by-step guide to publishing with Elsevier .

You are required to include the following details in the title page information:

Article title. Article titles should be concise and informative. Please avoid abbreviations and formulae, where possible, unless they are established and widely understood, e.g., DNA).

Author names. Provide the given name(s) and family name(s) of each author. The order of authors should match the order in the submission system. Carefully check that all names are accurately spelled. If needed, you can add your name between parentheses in your own script after the English transliteration.

Affiliations. Add affiliation addresses, referring to where the work was carried out, below the author names. Indicate affiliations using a lower-case superscript letter immediately after the author's name and in front of the corresponding address. Ensure that you provide the full postal address of each affiliation, including the country name and, if available, the email address of each author.

Corresponding author. Clearly indicate who will handle correspondence for your article at all stages of the refereeing and publication process and also post-publication. This responsibility includes answering any future queries about your results, data, methodology and materials. It is important that the email address and contact details of your corresponding author are kept up to date during the submission and publication process.

Present/permanent address. If an author has moved since the work described in your article was carried out, or the author was visiting during that time, a "present address" (or "permanent address") can be indicated by a footnote to the author's name. The address where the author carried out the work must be retained as their main affiliation address. Use superscript Arabic numerals for such footnotes.

You are required to provide a concise and factual abstract which does not exceed 250 words. The abstract should briefly state the purpose of your research, principal results and major conclusions. Some guidelines:

Abstracts must be able to stand alone as abstracts are often presented separately from the article.

Avoid references. If any are essential to include, ensure that you cite the author(s) and year(s).

Avoid non-standard or uncommon abbreviations. If any are essential to include, ensure they are defined within your abstract at first mention.

You are required to provide 1 to 7 keywords for indexing purposes. Keywords should be written in English. Please try to avoid keywords consisting of multiple words (using "and" or "of").

We recommend that you only use abbreviations in keywords if they are firmly established in the field.

You are required to provide article highlights at submission.

Highlights are a short collection of bullet points that should capture the novel results of your research as well as any new methods used during your study. Highlights will help increase the discoverability of your article via search engines. Some guidelines:

Submit highlights as a separate editable file in the online submission system with the word "highlights" included in the file name.

Highlights should consist of 3 to 5 bullet points, each a maximum of 85 characters, including spaces.

We encourage you to view example article highlights and read about the benefits of their inclusion.

You are encouraged to provide a graphical abstract at submission.

The graphical abstract should summarize the contents of your article in a concise, pictorial form which is designed to capture the attention of a wide readership. A graphical abstract will help draw more attention to your online article and support readers in digesting your research. Some guidelines:

Submit your graphical abstract as a separate file in the online submission system.

Ensure the image is a minimum of 531 x 1328 pixels (h x w) or proportionally more and is readable at a size of 5 x 13 cm using a regular screen resolution of 96 dpi.

Our preferred file types for graphical abstracts are TIFF, EPS, PDF or MS Office files.

We encourage you to view example graphical abstracts and read about the benefits of including them.

Tables must be submitted as editable text, not as images. Some guidelines:

Place tables next to the relevant text or on a separate page(s) at the end of your article.

Cite all tables in the manuscript text.

Number tables consecutively according to their appearance in the text.

Please provide captions along with the tables.

Place any table notes below the table body.

Avoid vertical rules and shading within table cells.

We recommend that you use tables sparingly, ensuring that any data presented in tables is not duplicating results described elsewhere in the article.

Figures, images, artwork, diagrams and other graphical media must be supplied as separate files along with the manuscript. We recommend that you read our detailed artwork and media instructions . Some excerpts:

When submitting artwork:

Cite all images in the manuscript text.

Number images according to the sequence they appear within your article.

Submit each image as a separate file using a logical naming convention for your files (for example, Figure_1, Figure_2 etc).

Please provide captions along with the artwork.

Text graphics may be embedded in the text at the appropriate position. If you are working with LaTeX, text graphics may also be embedded in the file.

Artwork formats

When your artwork is finalized, "save as" or convert your electronic artwork to the formats listed below taking into account the given resolution requirements for line drawings, halftones, and line/halftone combinations:

Vector drawings: Save as EPS or PDF files embedding the font or saving the text as "graphics."

Color or grayscale photographs (halftones): Save as TIFF, JPG or PNG files using a minimum of 300 dpi (for single column: min. 1063 pixels, full page width: 2244 pixels).

Bitmapped line drawings: Save as TIFF, JPG or PNG files using a minimum of 1000 dpi (for single column: min. 3543 pixels, full page width: 7480 pixels).

Combinations bitmapped line/halftones (color or grayscale): Save as TIFF, JPG or PNG files using a minimum of 500 dpi (for single column: min. 1772 pixels, full page width: 3740 pixels).

Please do not submit:

files that are too low in resolution (for example, files optimized for screen use such as GIF, BMP, PICT or WPG files).

disproportionally large images compared to font size, as text may become unreadable.

Figure captions

All images must have a caption. A caption should consist of a brief title (not displayed on the figure itself) and a description of the image. We advise you to keep the amount of text in any image to a minimum, though any symbols and abbreviations used should be explained.

Provide captions in a separate file.

Color artwork

If you submit usable color figures with your accepted article, we will ensure that they appear in color online.

Please ensure that color images are accessible to all, including those with impaired color vision. Learn more about color and web accessibility .

For articles appearing in print, you will be sent information on costs to reproduce color in the printed version, after your accepted article has been sent to production. At this stage, please indicate if your preference is to have color only in the online version of your article or also in the printed version.

Please read our policy on the use of generative AI and AI-assisted tools in figures, images and artwork , which states:

We do not permit the use of Generative AI or AI-assisted tools to create or alter images in submitted manuscripts.

The only exception is if the use of AI or AI-assisted tools is part of the research design or methods (for example, in the field of biomedical imaging). If this is the case, such use must be described in a reproducible manner in the methods section, including the name of the model or tool, version and extension numbers, and manufacturer.

The use of generative AI or AI-assisted tools in the production of artwork such as for graphical abstracts is not permitted. The use of generative AI in the production of cover art may in some cases be allowed, if the author obtains prior permission from the journal editor and publisher, can demonstrate that all necessary rights have been cleared for the use of the relevant material, and ensures that there is correct content attribution.

We encourage the use of supplementary materials such as applications, images and sound clips to enhance research. Some guidelines:

Cite all supplementary files in the manuscript text.

Submit supplementary materials at the same time as your article. Be aware that all supplementary materials provided will appear online in the exact same file type as received. These files will not be formatted or typeset by the production team.

Include a concise, descriptive caption for each supplementary file describing its content.

Provide updated files if at any stage of the publication process you wish to make changes to submitted supplementary materials.

Do not make annotations or corrections to a previous version of a supplementary file.

Switch off the option to track changes in Microsoft Office files. If tracked changes are left on, they will appear in your published version.

We recommend you upload research data to a suitable specialist or generalist repository. Please read our guidelines on sharing research data for more information on depositing, sharing and using research data and other relevant research materials.

This journal accepts video material and animation sequences to support and enhance your scientific research. We encourage you to include links to video or animation files within articles. Some guidelines:

When including video or animation file links within your article, refer to the video or animation content by adding a note in your text where the file should be placed.

Clearly label files ensuring the given file name is directly related to the file content.

Provide files in one of our recommended file formats . Files should be within our preferred maximum file size of 150 MB per file, 1 GB in total.

Provide "stills" for each of your files. These will be used as standard icons to personalize the link to your video data. You can choose any frame from your video or animation or make a separate image.

Provide text (for both the electronic and the print version) to be placed in the portions of your article that refer to the video content. This is essential text, as video and animation files cannot be embedded in the print version of the journal.

We publish all video and animation files supplied in the electronic version of your article.

For more detailed instructions, we recommend that you read our guidelines on submitting video content to be included in the body of an article .

We are committed to supporting the storage of, access to and discovery of research data, and our research data policy sets out the principles guiding how we work with the research community to support a more efficient and transparent research process.

Research data refers to the results of observations or experimentation that validate research findings, which may also include software, code, models, algorithms, protocols, methods and other useful materials related to the project.

Please read our guidelines on sharing research data for more information on depositing, sharing and using research data and other relevant research materials.

For this journal, the following instructions from our research data guidelines apply.

Option B: Research data deposit, citation and linking

You are encouraged to:

Deposit your research data in a relevant data repository.

Cite and link to this dataset in your article.

If this is not possible, make a statement explaining why research data cannot be shared.

Linking to the data underlying your work increases your exposure and may lead to new collaborations. It also provides readers with a better understanding of the described research.

If your research data has been made available in a data repository there are a number of ways your article can be linked directly to the dataset:

Provide a link to your dataset when prompted during the online submission process.

For some data repositories, a repository banner will automatically appear next to your published article on ScienceDirect.

You can also link relevant data or entities within the text of your article through the use of identifiers. Use the following format: Database: 12345 (e.g. TAIR: AT1G01020; CCDC: 734053; PDB: 1XFN).

Learn more about linking research data and research articles in ScienceDirect .

Article sections

Divide your article into clearly defined and numbered sections. Number subsections 1.1 (then 1.1.1, 1.1.2, ...), then 1.2, etc.

Use the numbering format when cross-referencing within your article. Do not just refer to "the text."

You may give subsections a brief heading. Headings should appear on a separate line.

Do not include the article abstract within section numbering.

Introduction

The introduction should clearly state the objectives of your work. We recommend that you provide an adequate background to your work but avoid writing a detailed literature overview or summary of your results.

The methods section should provide sufficient details about your materials and methods to allow your work to be reproduced by an independent researcher. Some guidelines:

If the method you used has already been published, provide a summary and reference the originally published method.

If you are quoting directly from a previously published method, use quotation marks and cite the source.

Describe any modifications that you have made to existing methods.

Results should be clear and concise. We advise you to read the sections in this guide on supplying tables, artwork, supplementary material and sharing research data.

The discussion section should explore the significance of your results but not repeat them. You may combine your results and discussion sections into one section, if appropriate. We recommend that you avoid the use of extensive citations and discussion of published literature in the discussion section.

The conclusion section should present the main conclusions of your study. You may have a stand-alone conclusions section or include your conclusions in a subsection of your discussion or results and discussion section.

Please provide definitions of field-specific terms used in your article, in a separate list.

Abbreviations

Abbreviations which are not standard in the field should be defined in a footnote on the first page of your article.

Abbreviations which are essential to include in your abstract should be defined at first mention in your abstract, as well as in a footnote on the first page of your article.

Before submission we recommend that you review your use of abbreviations throughout your article to ensure that it is consistent.

We ask you to use the following format for appendices:

Identify individual appendices within your article using the format: A, B, etc.

Give separate numbering to formulae and equations within appendices using formats such as Eq. (A.1), Eq. (A.2), etc. and in subsequent appendices, Eq. (B.1), Eq. (B. 2) etc. In a similar way, give separate numbering to tables and figures using formats such as Table A.1; Fig. A.1, etc.

We advise you to use footnotes sparingly. If you include footnotes in your article, ensure that they are numbered consecutively.

You may use system features that automatically build footnotes into text. Alternatively, you can indicate the position of footnotes within the text and present them in a separate section at the end of your article.

Acknowledgements

Include any individuals who provided you with help during your research, such as help with language, writing or proof reading, in the acknowledgements section. Acknowledgements should be placed in a separate section which appears directly before the reference list. Do not include acknowledgements on your title page, as a footnote to your title, or anywhere else in your article other than in the separate acknowledgements section.

Author contributions: CRediT

Corresponding authors are encouraged to acknowledge co-author contributions using CRediT (Contributor Roles Taxonomy) roles:

Conceptualization

Data curation

Formal analysis

Funding acquisition

Investigation

Methodology

Project administration

Supervision

Visualization

Writing – original draft

Writing – review and editing

Not all CRediT roles will apply to every manuscript and some authors may contribute through multiple roles.

We advise you to read more about CRediT and view an example of a CRediT author statement .

References within text

Any references cited within your article should also be present in your reference list and vice versa. Some guidelines:

References cited in your abstract must be given in full.

We recommend that you do not include unpublished results and personal communications in your reference list, though you may mention them in the text of your article.

Any unpublished results and personal communications included in your reference list must follow the standard reference style of the journal. In substitution of the publication date add "unpublished results" or "personal communication."

References cited as "in press" imply that the item has been accepted for publication.

Linking to cited sources will increase the discoverability of your research.

Before submission, check that all data provided in your reference list are correct, including any references which have been copied. Providing correct reference data allows us to link to abstracting and indexing services such as Scopus, Crossref and PubMed. Any incorrect surnames, journal or book titles, publication years or pagination within your references may prevent link creation.

We encourage the use of Digital Object Identifiers (DOIs) as reference links as they provide a permanent link to the electronic article referenced. See the example below, though be aware that the format of such citations should be adapted to follow the style of other references in your paper.

DOI link example (for an article not yet in an issue): VanDecar J.C., Russo R.M., James D.E., Ambeh W.B., Franke M. (2003). Aseismic continuation of the Lesser Antilles slab beneath northeastern Venezuela. Journal of Geophysical Research, https://doi.org/10.1029/2001JB000884 .

Reference style

All citations in the text should refer to:

Single author: the author's name (without initials, unless there is ambiguity) and the year of publication.

Two authors: both authors' names and the year of publication.

Three or more authors: first author's name followed by 'et al.' and the year of publication.

Citations can be made directly (or parenthetically). Groups of references can be listed either first alphabetically, then chronologically, or vice versa. Examples: "as demonstrated (Allan, 2020a, 2020b; Allan and Jones, 2019)" or "as demonstrated (Jones, 2019; Allan, 2020). Kramer et al. (2023) have recently shown".

The list of references should be arranged alphabetically and then chronologically if necessary. More than one reference from the same author(s) in the same year must be identified by the letters 'a', 'b', 'c', etc., placed after the year of publication.

Reference to a journal publication:

Van der Geer, J., Handgraaf, T., Lupton, R.A., 2020. The art of writing a scientific article. J. Sci. Commun. 163, 51–59. https://doi.org/10.1016/j.sc.2020.00372.

Reference to a journal publication with an article number:

Van der Geer, J., Handgraaf, T., Lupton, R.A., 2022. The art of writing a scientific article. Heliyon. 19, e00205. https://doi.org/10.1016/j.heliyon.2022.e00205.

Reference to a book:

Strunk Jr., W., White, E.B., 2000. The Elements of Style, fourth ed. Longman, New York.

Reference to a chapter in a book:

Mettam, G.R., Adams, L.B., 2023. How to prepare an electronic version of your article, in: Jones, B.S., Smith, R.Z. (Eds.), Introduction to the Electronic Age. E-Publishing Inc., New York, pp. 281–304.

Reference to a website:

Cancer Research UK, 2023. Cancer statistics reports for the UK. http://www.cancerresearchuk.org/aboutcancer/statistics/cancerstatsreport/ (accessed 13 March 2023).

Reference to a dataset:

Oguro, M., Imahiro, S., Saito, S., Nakashizuka, T., 2015. Mortality data for Japanese oak wilt disease and surrounding forest compositions [dataset]. Mendeley Data, v1. https://doi.org/10.17632/xwj98nb39r.1.

Reference to software:

Coon, E., Berndt, M., Jan, A., Svyatsky, D., Atchley, A., Kikinzon, E., Harp, D., Manzini, G., Shelef, E., Lipnikov, K., Garimella, R., Xu, C., Moulton, D., Karra, S., Painter, S., Jafarov, E., & Molins, S., 2020. Advanced Terrestrial Simulator (ATS) v0.88 (Version 0.88) [software]. Zenodo. https://doi.org/10.5281/zenodo.3727209.

Journal abbreviations

We ask you to abbreviate journal names according to the List of Title Word Abbreviations (LTWA).

Web references

When listing web references, as a minimum you should provide the full URL and the date when the reference was last accessed. Additional information (e.g. DOI, author names, dates or reference to a source publication) should also be provided, if known.

You can list web references separately under a new heading directly after your reference list or include them in your reference list.

Data references

We encourage you to cite underlying or relevant datasets within article text and to list data references in the reference list.

When citing data references, you should include:

author name(s)

dataset title

data repository

version (where available)

global persistent identifier

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ageing research reviews

  • 期刊查询 2024影响因子 -->
  • 期刊详情 2024年影响因子已更新 -->

Ageing Research Reviews

期刊全称 Ageing Research Reviews
期刊缩写 AGEING RES REV
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医学 内科学 化学 生物化学 遗传学 病理 心理学 神经科学 内分泌学 疾病 细胞生物学 基因 精神科 物理
期刊介绍 As the average human life expectancy has increased, so too has the impact of ageing and age-related disease on our society. Ageing research is now the focus of thousands of laboratories that include leaders in the areas of genetics, molecular and cellular biology, biochemistry, and behaviour. Ageing Research Reviews (ARR) covers the trends in this field. It is designed to fill a large void, namely, a source for critical reviews and viewpoints on emerging findings on mechanisms of ageing and age-related disease. Rapid advances in understanding of mechanisms that control cellular proliferation, differentiation and survival are leading to new insight into the regulation of ageing. From telomerase to stem cells to energy and oxyradical metabolism, this is an exciting new era in the multidisciplinary field of ageing research. The cellular and molecular underpinnings of manipulations that extend lifespan, such as caloric restriction, are being identified and novel approaches for preventing age-related diseases are being developed. ARR publishes articles on focussed topics selected from the broad field of ageing research, with an emphasis on cellular and molecular mechanisms of the aging process and age-related diseases such as cancer, cardiovascular disease, diabetes and neurodegenerative disorders. Applications of basic ageing research to lifespan extension and disease prevention are also covered in this journal.
期刊ISSN print: 1568-1637
2023最新影响因子
(2024年6月20日公布)
与上一年的差值
12.5↓ 0.6
历年影响因子
2023年 2022年 2021年 2020年 2019年 2018年 2017年 2016年
12.5 13.1 11.788 10.895 10.616 10.39 8.973 7.452
年份20222021202020192018201720162015201420132012
发表量216219166928015214986689946
被引量14139141451120888187474634652574725417033952802
JCR分区学科名称 收录数据库 JCR分区 分区排名
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GERIATRICS & GERONTOLOGY SCIE Q1 3/74
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GERIATRICS & GERONTOLOGY SCIE Q1 7/74
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大类 小类 TOP期刊 综述期刊
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CELL BIOLOGY 老年医学
GERIATRICS & GERONTOLOGY
大类 小类 TOP期刊 综述期刊
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Ageing research reviews.

短名 Ageing Res. Rev.
Journal Impact12.55
国际分区 GERIATRICS & GERONTOLOGY
期刊索引SCI Q1中科院 1 区
ISSN1568-1637, 1872-9649
h-index162
国内分区医学 医学 医学
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随着人类平均预期寿命的增加,老龄化和与年龄有关的疾病对我们社会的影响也在增加。衰老研究现在是数千个实验室的重点,其中包括遗传学、分子和细胞生物学、生物化学和行为领域的领导者。老龄化研究评论 (ARR) 涵盖了该领域的趋势。它旨在填补一个巨大的空白,即对衰老机制和与年龄相关的疾病的新发现进行批判性评论和观点的来源。对控制细胞增殖、分化和存活的机制理解的快速进展正在导致对衰老调控的新认识。从端粒酶到干细胞,再到能量和氧自由基代谢,这是衰老研究多学科领域令人兴奋的新时代。正在确定延长寿命的操作的细胞和分子基础,例如热量限制,并且正在开发预防与年龄有关的疾病的新方法。 ARR 发表的文章选自衰老研究的广泛领域,重点关注衰老过程的细胞和分子机制以及与年龄相关的疾病,如癌症、心血管疾病、糖尿病和神经退行性疾病。本期刊还介绍了基础衰老研究在延长寿命和预防疾病方面的应用。

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  • Published: 10 July 2019

From discoveries in ageing research to therapeutics for healthy ageing

  • Judith Campisi 1 ,
  • Pankaj Kapahi 1 ,
  • Gordon J. Lithgow 1 ,
  • Simon Melov 1 ,
  • John C. Newman 1 &
  • Eric Verdin 1  

Nature volume  571 ,  pages 183–192 ( 2019 ) Cite this article

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  • Mechanisms of disease

For several decades, understanding ageing and the processes that limit lifespan have challenged biologists. Thirty years ago, the biology of ageing gained unprecedented scientific credibility through the identification of gene variants that extend the lifespan of multicellular model organisms. Here we summarize the milestones that mark this scientific triumph, discuss different ageing pathways and processes, and suggest that ageing research is entering a new era that has unique medical, commercial and societal implications. We argue that this era marks an inflection point, not only in ageing research but also for all biological research that affects the human healthspan.

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A key initial step in the field of ageing research was the observation in 1939 that restriction of caloric intake in mice and rats increased lifespan 1 (Fig. 1 ). This discovery, reproduced in several species including, most recently, in primates 2 , 3 , was the first demonstration of the plasticity of the ageing process and a harbinger of the genetic studies that came 50 years later. Notably, dietary restriction increased not only the maximum lifespan but also suppressed the development of age-associated diseases 4

. These observations led to the concept that lifespan extension was associated with slowed ageing and increased healthspan—which describes both the length of healthy life and the fraction of total lifespan free from disease.

figure 1

Key discoveries in the ageing field are highlighted, starting with the discovery of the effect of calorie restriction on ageing in 1930.

ageing research reviews

During the mid-1900s, the field began to debate the idea that ageing was the cause of age-related chronic disease. The use of the word ‘cause’ remains controversial because, although ageing is the largest risk factor for a multitude of age-related diseases 5 , causality has not been proven. In support of the idea, some apparently normal ageing phenomena, which interact with each other in a complex way, contribute to diseases. There was a realization that many of the molecular and biochemical mechanisms that determined the rate of ageing were also under investigation in laboratories that solely focused on individual chronic diseases. Increasingly, researchers who study lifespan genetics and work on disease models collaborate with scientists who have no expertise in ageing research. To distinguish this new field from gerontology, defined as the comprehensive multidisciplinary study of ageing and older adults, this interdisciplinary science at the interface of normal ageing and chronic disease was termed ‘geroscience’ 6 .

A genetic approach to ageing research

Biologists have long known that lifespan is a heritable trait and thus has a genetic basis, as different species have radically different lifespans that range from days to decades. In 1952, Peter Medawar proposed that ageing is the result of the decline in the force of natural selection after reproduction 7 . This led some population-genetics and evolutionary biologists to culture large fly populations (usually Drosophila species) with high genetic diversity to selectively breed for late- and early-reproducing flies and test their genetic makeup. These studies showed that the late-reproducing flies lived almost twice as long as early-reproducing flies, and that these differences were heritable, supporting the model that genes determined lifespan 8 .

Over 30 years after Medawar’s writing on ageing, a landmark study in the nematode Caenorhabditis elegans showed that a single gene, age-1 , can determine the lifespan of an organism 9 . The lifespan of age-1 -mutant worms increased by 40–60% on average 9 . This came as a surprise to many, as researchers assumed that hundreds or thousands of genes would be involved and that the effects of any single gene would be very small and even undetectable. Currently, over 800 genes have been identified that modulate lifespan in C. elegans according to GenAge ( http://genomics.senescence.info/genes/search.php?organism=Caenorhabditis+elegans&show=4 ). The actual number of genes that modulate lifespan is probably higher, as new long-lived mutants continue to be identified and additional genes may also affect lifespan under different environmental conditions.

Ageing pathways and processes

The past 30 years of ageing research has transitioned from identifying ageing phenotypes to investigating the genetic pathways that underlie these phenotypes. The genetics of ageing research has revealed a complex network of interacting intracellular signalling pathways and higher-order processes 10 . Many of the pathways and processes, such as dietary restriction, that have been identified are known to be critical in homeostatic responses to environmental change.

Below, we selected a few key pathways and processes that have emerged during the past 30 years.

Insulin-like signalling pathway

In 1993, a C. elegans mutation in daf-2 , which is involved in a switch between normal developmental progression and an alternate diapause larval stage (the dauer), was shown to almost double the adult lifespan 11 . This finding was followed by the discovery that two of the daf genes ( daf-2 and daf - 16 ) were located in a single pathway that influenced both the formation of the dauer larval stage and adult lifespan 12 . These ageing-associated genes were the C. elegans orthologues of mammalian genes that encode components of the insulin and insulin-like growth factor intracellular signalling pathway (ILS). age-1 turned out to be a phosphatidylinositol-3 kinase, daf-2 encodes an insulin-like receptor and daf-16 encodes a FOXO-like transcription factor that acts downstream of the insulin signalling pathway in mammals. This was supported by findings in yeast 13 and flies 14 , 15 that inhibition of components of the ILS pathway extended lifespan. This suggested that the earlier discoveries in worms were not a ‘private’ mechanism confined to nematodes but a common mechanism with the potential to be relevant to humans and human diseases.

Further studies in flies, worms and mice have since proven the conserved effects of inhibiting the insulin signalling pathway and extended lifespan 16 . Some alleles of the daf-16 orthologue in humans, FOXO3 , are also associated with human centenarian populations across the globe 17 , which supports the idea that what we learn from model organisms may be relevant to ageing in humans.

Target of rapamycin

Target of rapamycin (TOR) proteins were first identified from rapamycin research. Rapamycin was originally discovered for its potent antifungal properties and later shown to inhibit the growth of cells and act as an immune modulator 18 , 19 . Insights into its mechanism of action came from the identification of mutants that suppressed the cell cycle-arrest properties of rapamycin in Saccharomyces cerevisiae 18 . These were later identified to be mutations in the genes that encode TOR1 and TOR2. Mammalian TOR genes are known as mTOR (mechanistic (or mammalian) target of rapamycin).

Studies have also elucidated the relationship between TOR and dietary restriction. Evolutionary hypotheses that explain the protective effects of dietary restriction argue that under nutrient restriction, there is a shift in metabolic investment from reproduction and growth towards somatic maintenance to extend survival 10 . The evidence for TOR as a conserved nutrient sensor made it an attractive candidate to mediate the switch between growth and maintenance and lifespan extension by dietary restriction across species. Consistently, flies with reduced activity of various components of the TOR pathway show extended lifespan in a manner that mimics dietary restriction 20 . A large-scale screen for long-lived mutants in yeast identified several mutations in the TOR pathway that also mimicked the effects of dietary restriction 13 , 21 . Notably, double mutants that carry mutations in genes of both the TOR and insulin signalling pathways have a nearly fivefold increased lifespan in C. elegans 22 . Both key longevity pathways—that is, TOR and ILS—have emerged as key parallel but interacting conserved nutrient-sensing pathways, with TOR being important for autonomous and the ILS pathway for non-autonomous growth signalling.

TOR is a versatile protein that acts as a major hub that integrates signals from growth factors, nutrient availability, energy status and various stressors 10 . These signals regulate several outputs that include mRNA translation, autophagy, transcription and mitochondrial function, which have been shown to mediate extended lifespan 23 .

Sirtuins and NAD +

In 1995, a genetic screen identified epigenetic ‘silencing’ factors as longevity genes 24 . Five years later, Sir2 was identified as a conserved protein that regulates replicative lifespan in yeast 25 . A key discovery was the demonstration that Sir2 was a protein deacetylase that removed acetyl groups from histone proteins in a manner that is dependent on the cellular coenzyme nicotinamide adenine dinucleotide (NAD + ) 26 . Another key demonstration was the fact that Sir2 was a key protein in the lifespan extension observed under dietary restriction in yeast 27 . Other organisms also express Sir2-related proteins called sirtuins, which generally function as protein deacylases that remove acyl groups, including acetyl, succinyl and malonyl, from lysine residues on target proteins 28 . Mice and humans express seven sirtuins that are characterized by a conserved catalytic domain and variable N- and C-terminal extensions. SIRT1, SIRT2, SIRT3, SIRT6 and SIRT7 are bona fide protein deacetylases, whereas SIRT4 and SIRT5 do not exhibit deacetylase activity but remove other acyl groups from lysine residues in proteins 29 . Notably, SIRT1, SIRT2, SIRT6 and SIRT7 appear to function as epigenetic regulators, whereas SIRT3, SIRT4 and SIRT5 are located in mitochondria 29 . Sirtuins have emerged as global metabolic regulators that control the response to calorie restriction and protecting against age-associated diseases, thus increasing healthspan and—in some cases—lifespan 30 , 31 , 32 , 33 .

NAD + is a critical redox coenzyme found in all living cells. It serves both as a critical coenzyme for enzymes that fuel reduction–oxidation reactions by carrying electrons from one reaction to another, and as a cosubstrate for other enzymes, such as sirtuins and polyadenosine diphosphate-ribose polymerases (PARPs). There is increasing evidence that NAD + levels and the activity of sirtuins decrease with age and during senescence or in animals on a high-fat diet. By contrast, NAD + levels increase in response to fasting, glucose deprivation, dietary restriction and exercise, which are all conditions associated with a lower energy load 34 , 35 , 36 , 37 , 38 , 39 , 40 . The fact that NAD + levels increase under conditions that increase lifespan and healthspan, such as dietary restriction and exercise, and decrease during ageing or under conditions that decrease lifespan and healthspan, such as a high-fat diet, support the working model that decreased NAD + levels might contribute to the ageing process. On the basis of this idea, it has been predicted and validated that NAD + supplementation exerts protective effects during ageing 41 , 42 .

Circadian clocks

Research on sirtuins has also helped us to understand the link between circadian clocks and ageing. NAD + levels fluctuate in a circadian manner and link the peripheral clock to the transcriptional regulation of metabolism by epigenetic mechanisms through SIRT1. The core circadian clock machinery, BMAL1 and CLOCK, directly regulates expression of NAMPT in the NAD + salvage pathway in mice 38 . The deacetylase activity of SIRT1 depends on the presence of NAMPT to generate NAD + . The possibility that NAD + concentrations are regulated semi-independently in different cellular compartments suggests that changes in unique local NAD + concentrations could differentially affect the activity of distinct sirtuins.

Similarly, several other homeostatic responses are regulated by circadian clocks that are vital to maintaining health by rhythmic activity of neuronal, physiological and endocrine functions. One of the common hallmarks of ageing is the progressive loss of circadian behavioural patterns (sleep–wake cycles) and a dampening of circadian gene expression 43 . Given that the network of circadian clocks modulates various biological processes, it is not surprising that disruption of circadian rhythms—genetically or through environmental perturbation—is linked with age-related pathologies, including neurodegeneration, obesity and type 2 diabetes 43 .

Dietary restriction is also emerging as an important factor that can influence peripheral clocks, as it promotes circadian homeostasis in flies and mice by enhancing the circadian-regulated amplitude of gene expression 44 , 45 . More importantly, circadian clocks are required for the protective effects of dietary restriction on lifespan extension in both flies and mice 44 , 45 . There is an increase in the expression of rhythmic genes in the liver after dietary restriction that include targets of SIRT1, NAD + metabolites and protein acetylation 46 . Time-restricted feeding, in which feeding is restricted to shorter periods when an organism is active, has emerged as a potential paradigm to improve circadian and metabolic homeostasis, resulting in increased healthspan 47 . These findings suggest that circadian rhythms are more than just a biomarker of ageing and may be a driving factor in organismal ageing.

Mitochondria and oxidative stress

In the 1950s, it was theorized that endogenous production of free radical molecules arising from oxygen and generated during fundamental metabolic processes, such as respiration, represent a key factor that drives ageing 48 . These theories particularly focused on mitochondrial production of superoxide as a key mediator of ageing pathophysiology 49 . Indeed, numerous publications have shown that oxidative damage accumulates in multiple tissues and species with age. Although it is indisputable that such damage is one of the most consistent consequences of increasing age in cells and tissues, whether such damage is a cause or a consequence of ageing has proved to be hard to determine. The free radical theory of ageing has proved extremely difficult to test, at least in part because reactive oxygen species are also important signalling molecules. Numerous studies have shown that the modulation of respiration can extend lifespan in model organisms 50 , 51 , 52 , 53 .

In the 1990s and early 2000s, model organisms were used to overexpress key genes involved in detoxifying free radical molecules such as superoxide. There were multiple successes that led to lifespan extension 54 , 55 , which suggests that oxidative damage arising from metabolism was limiting lifespan—at least to some degree. However, this finding was challenged by subsequent studies in mice that showed no increase in the lifespan of wild-type animals 56 in which the key mitochondrial antioxidant protein superoxide dismutase 2 was overexpressed. However, further studies that specifically targeted the hydrogen peroxide scavenger protein catalase to the mitochondria resulted in improved healthspan and increased lifespan in mice 57 , 58 , 59 . The contradiction between these two findings in mice suggests that simple genetic overexpression in mammalian systems is very context-specific. This is not surprising, as free radical production within the mitochondria is complex, with at least ten sites of production within the respiratory chain 60 , and the rate of production under diverse physiological states, at various ages and in different cell types remains relatively poorly explored and characterized 61 .

Although free radicals are generally implicated in cellular damage and inflammation when present at high levels, they can also potentially increase cellular defenses through an adaptive response (termed ‘mitohormesis’) when present at lower levels 62 . Mitohormesis explains the paradoxical increase in lifespan observed after disruption of mitochondrial function in worms, flies and mice 63 , 64 . Genome-wide screens for lifespan extension in C. elegans revealed that disruption of several genes involved in the electron transport chain extended lifespan 52 , 65 . Inhibition of genes in the mitochondrial electron transport chain triggers the mitochondrial unfolded protein response (UPR mt ), which is also required for the extended lifespan found in these C. elegans mutants 66 . Disruption of mitochondrial function in neurons activates the UPR mt in distal tissues such as the intestine, which suggests the existence of circulating factors that coordinate metabolism between tissues 66 . Mitochondrial perturbation triggered a nuclear transcriptional response that regulates a large set of genes involved in protein folding, antioxidant defenses and metabolism. UPR mt is regulated by several factors including activating transcription factor associated with stress-1 (ATFS-1), the homeobox transcription factor DVE-1, the ubiquitin-like protein UBL-5, the mitochondrial protease ClpP and the inner mitochondrial membrane transporter HAF-1 67 .

Studies that demonstrate the importance of mitohormesis in extending lifespan pose several challenges to the field as it is unclear whether using antioxidants would be a good strategy for lifespan extension. As a result, there is evidence both for and against lifespan extension by increasing oxidative stress 63 . It is also unclear how the above findings can be reconciled with results that show that mitochondrial function is enhanced by dietary restriction in multiple species 68 , 69 , 70 . Further studies are needed to determine how differing states of mitochondrial function influence ageing in different contexts.

Nearly 60 years ago, the first formal description of the limited ability of human cells to divide in culture was published 71 , 72 . This phenomenon is now known to be an example of a more general phenomenon termed cellular senescence. Senescent cells are characterized by three main features: arrested cell proliferation, resistance to apoptosis and a complex senescence-associated secretory phenotype 73 . The senescence that limits cell proliferation is caused mostly by the short, dysfunctional telomeres that result from repeated DNA replication in the absence of telomerase 74 . Dysfunctional telomeres trigger a persistent DNA-damage response, which in turn induces cell cycle arrest 75 and the expression of pro-inflammatory factors that are associated with the senescence-associated secretory phenotype 76 . Similarly, at least some of the oncogenes that induce senescence do so by causing replication stress and subsequent DNA damage 77 , 78 . However, other stressors can drive cells into senescence without a DNA-damage response, including epigenomic perturbations 79 and mitochondrial dysfunction 80 .

Senescent cells are more abundant in aged and diseased tissues in multiple species 81 . Cell culture studies showed that senescent cells can fuel hallmarks of a variety of ageing phenotypes and diseases, largely through the cell non-autonomous effects of the senescence-associated secretory phenotype 82 . The development of two transgenic mouse models in which senescent cells can be selectively eliminated confirmed the idea that senescent cells can have a causal role in many age-related phenotypes and pathologies in vivo 83 , 84 . Both models have been used to show that senescent cells are drivers of a large number of age-related pathologies—at least in mice. These pathologies include Alzheimer’s 85 and Parkinson’s 86 disease, atherosclerosis 87 , cardiovascular dysfunction 88 (including cardiovascular problems caused by certain genotoxic chemotherapies 89 ), tumour progression 88 , 89 , loss of haematopoietic and skeletal muscle stem cell functions 90 , non-alcoholic fatty liver disease 91 , pulmonary fibrosis 92 , osteoarthritis 93 and osteoporosis 94 .

This leads to the question of whether compounds could be identified that can eliminate senescent cells, similar to the action of the mouse transgenes, and that are therefore potentially translatable to use in humans. This approach led to the identification of a new class of drugs, termed senolytics, that is rapidly expanding 90 , 95 , 96 , 97 , 98 , 99 . Many senolytic drugs have been tested in mice and human cells or tissues, with promising results. However, clinical trials have only recently started and it therefore remains to be determined whether these drugs are safe and efficacious in humans.

Chronic inflammation

Senescence of the immune system (known as immunosenescence) is one of the causes of ‘inflammaging’, a term coined in 2000 100 that refers to a phenomenon in which older organisms tend to have higher levels of inflammatory markers in their cells and tissues, which results in a low-grade, sterile and chronic pro-inflammatory status. In contrast to acute, transient inflammation—an evolutionarily conserved mechanism designed to protect the host from infections and injuries—inflammaging is linked to a myriad of age-related diseases such as cancer, type 2 diabetes, cardiovascular disease, neurodegenerative diseases and frailty 101 , 102 , 103 , 104 , 105 .

Other factors that contribute to inflammaging include genetic susceptibility, obesity, oxidative stress, changes in the permeability of the intestinal barrier associated with translocation of bacterial products (‘leaky gut’), chronic infection and defective immune cells 104 and pro-inflammatory factors that are associated with the senescence-associated secretory phenotype of non-immune senescent cells 76 . In addition, numerous environmental factors—such as the chemicals identified by the Tox21 consortium 106 —can be cytotoxic and pro-inflammatory 101 , 102 . Finally, longevity-enhancing interventions such as dietary restriction reduce inflammatory biomarkers 107 , 108 . On the basis of these findings, inflammaging is now considered to be a biomarker for accelerated ageing and one of hallmarks of ageing biology.

As discussed for other variables that influence ageing, an extended lifespan and healthspan may be a result of a fine balance between pro-inflammatory and anti-inflammatory processes 109 . Consistent with this idea, it has been shown that although centenarians have an increased level of pro-inflammatory molecules (for example, interleukin-6, a commonly used marker for chronic morbidity 105 ), the adverse consequences associated with these pro-inflammatory molecules are counterbalanced by high levels of anti-inflammatory molecules 110 .

Proteostasis

Protein homeostasis (known as proteostasis) is an essential process that maintains protein structure and function, a process that degrades during ageing. Proteome stability is associated with naturally long lifespan in organisms such as the naked mole-rat, which is characterized by high levels of homeostatic proteolytic activity 111 , 112 , 113 . During normal ageing, many hundreds of proteins become insoluble and accumulate in a wide variety of tissues. In C. elegans , these insoluble proteins are highly enriched for proteins that determine lifespan 114 , 115 . It appears that a proteome-wide failure in proteostasis accelerates ageing.

The major pathways that determine lifespan also regulate aspects of proteostatic factors. For example, insulin signalling pathways control the expression of molecular chaperones and TOR signalling pathways regulate many forms of autophagy including mitoautophagy, which is the mechanism by which damaged mitochondria are removed from the cell. Age-related failure in proteostasis may be mechanistically responsible for the processing and folding of neurotoxic peptides associated with Alzheimer’s disease, Parkinson’s disease and other proteotoxic diseases 116 . Indeed, this may be why age is such a high-risk factor for neurological diseases that are marked by protein aggregation.

An inflection point in ageing interventions

The rapid increase in our understanding of the molecular mechanisms that underlie ageing has created new opportunities to intervene in the ageing process. Two notable findings have emerged from these early studies. First, the number of genes that can extend lifespan is much larger than expected, which suggests a much higher level of plasticity in the ageing process than expected. Second, genes that control ageing—which define cellular pathways such as the TOR and insulin signalling pathways—are remarkably conserved in yeast, worms, fruit flies and humans. The conservation of these pathways across wide evolutionary distances and the fact that targeting these pathways in model organisms increases both lifespan and healthspan has brought to the fore the idea of interventions in humans.

Rapidly ageing societies across the world are seeing an increasing healthcare burden attributable to both morbidity and cost of age-related diseases, such as heart disease, stroke, cancer, neurodegeneration, osteoarthritis and macular degeneration. However, current medical care is highly segmented as well as organ- and disease-based, and ignores the fact that age and the ageing process are the strongest risk factor for each of these diseases. According to the concept of geroscience, targeting conserved ageing pathways is anticipated to protect against multiple diseases and represents a different approach to tackling the rapidly growing burden of diseases worldwide (Table 1 ).

Using geroscience to treat age-related disease

The concept of geroscience predicts that conserved ageing pathways are part of the pathophysiology of many age-related conditions and diseases (Fig. 2 ). For example, multimorbidity is seen as the multisystem expression of an advanced stage of ageing rather than a coincidence of unrelated diseases 117 . Targeting conserved ageing pathways should, therefore, prevent or ameliorate multiple clinical problems. This hypothesis remains to be tested in clinical trials, but is supported by several lines of evidence. A wide range of animal models of specific diseases can be affected by manipulating a single ageing mechanism (such as NAD + ) 118 or senescent cells 95 in the laboratory. Rates of individual age-related diseases and of multimorbidity increase nonlinearly with age, and the rate of acquiring new chronic diseases may be higher in people who have an existing chronic disease 119 .

figure 2

Environmental and genetic factors exert influences on a number of key cellular processes and pathways, which have recently been defined as the hallmarks of ageing 193 . Many of these pathways contribute to the creation of a chronic inflammatory stage and to ageing. These in turn increase the risk for chronic diseases of ageing together with disease-specific risk factors (for example, cholesterol level and high-blood pressure can lead to cardiovascular diseases such as stroke and myocardial infarction).

Certain populations, such as people who live with HIV or are homeless, show an early onset of a wide range of age-related chronic diseases and geriatric syndromes that are not necessarily related to their specific disease risks 120 , 121 . A classic statistical analysis of human mortality showed that even curing an entire category of chronic disease, such as all types of cancer or cardiovascular diseases, would only modestly increase life expectancy owing to the expected mortality from other chronic diseases 122 . Conversely, humans with extreme longevity who presumably have favourable ageing mechanisms show delayed onset of most major chronic diseases 123 .

In clinical care, multimorbidity is increasingly viewed as an entity unto itself that requires a specific integrative management plan 124 , as intensive but uncoordinated treatment of individual diseases can give rise to the harmful syndrome of polypharmacy 125 . Frailty measures are the most widely used clinical assessments for quantifying the stage of ageing 126 , 127 , and these clinical biomarkers of ageing predict mortality while awaiting liver transplant 128 , complications of surgery 129 and whether the pathology of Alzheimer’s disease manifests as clinical dementia 130 . Taken together, experimental data from preclinical models, epidemiological patterns of age-related conditions and the power of non-disease-specific clinical ageing assessments such as frailty to predict risk and mortality in diverse contexts all suggest that intervening in mechanisms of ageing could have broad clinical benefit.

Challenges ahead

However, to move from simple organisms to humans several key difficulties need to be overcome, as discussed below. First, it is already clear from the study of model systems that interventions that are beneficial in a given genetic environment might not work in another. For example, analyses of dietary restriction in multiple recombinant inbred mice strains found both an increase and a decrease in lifespan, which was dependent on the strain 131 . Similar results have been obtained using more than 150 strains of flies 132 . The molecular basis for these differences in response to what had been assumed to be a universally beneficial intervention has not been established. Future studies in invertebrates such as yeast, worms and flies hold promise for systematically explaining the genetic basis of lifespan extension by dietary restriction.

The human population is also characterized by a large genetic heterogeneity that has a critical role in disease susceptibility, lifespan and the response to drugs of an individual. This heterogeneity is the basis for the current field of precision medicine, which aims to identify critical genetic determinants of disease and to customize interventions and treatments to unique genetic variants. In the future, the field of precision medicine and geroscience will have to interact closely. As discussed above, FOXO3 is related to the DAF–insulin pathway, and unique polymorphisms in FOXO3 are found in centenarians around the world 17 . Furthermore, the APOE gene is involved in cholesterol metabolism, and unique alleles are associated with longevity and a lower risk of developing Alzheimer’s disease 133 , 134 . Many additional genes 135 , such as SIRT6 136 , are now known to be associated with human longevity.

Just as several animal studies have challenged the universality of the benefits of dietary restriction 137 , 138 , 139 , it is likely that pharmacological interventions will work with different success in distinct humans, owing to the natural genetic variation in the population 138 . As in mice, it has been hypothesized that selective pressures on the response to nutrient availability may vary across different human populations, resulting in genetic differences that may influence diabetes and obesity 140 . Furthermore, most of the interventions have arisen from research to show protection against ageing in animals. Thus, it is possible that humans that have optimized their nutrition and exercise are unlikely to derive much benefit from these interventions. Future studies on tailoring interventions based on personalized medicine approaches are likely to be most successful in deriving the most benefit from these interventions.

Additionally, it is clear that studies in mice are not always predictive for humans. Many important discoveries in mice have been translated successfully in humans, but many others have not. This can be due to intrinsic biological differences between mice and humans. In addition, the complexity of biology and the multiplicity of recognized and unrecognized variables that affect biological phenotypes have caused reproducibility problems between different laboratories that study the same organisms, not only in studies of mice but also other model systems 141 .

Although there are many examples of a connection between long lifespan and increased healthspan, more-recent studies in mice 142 , 143 , flies 132 and worms 144 , 145 , 146 have questioned the assumption that lifespan extension is always accompanied by an increase in healthspan. Future studies will need to address the effects of interventions on both of these aspects before attempting to translate these interventions into the treatment of human patients.

Drugs undergoing clinical trials

Both drugs that are being developed to target ageing and some drugs that are commonly used behave as geroprotectors in animal models. The multicentre Intervention Testing Program (ITP), which is supported by the National Institute for Ageing, has identified five drugs that reproducibly increase lifespan in genetically heterogenous mice 147 , including rapamycin, acarbose, nordihydroguaiaretic acid, 17-α-oestradiol and aspirin 147 . Some of these drugs also improve healthspan measures in some tissues of animal models 148 , 149 , 150 . Drugs found in other studies to extend rodent lifespan include metformin 151 (although it did not repeat in the ITP at the same dose), drugs targeting the angiotensin-converting enzyme and the aldosterone receptor, and the sirtuin activators SRT2104 152 and SRT1720 153 . Further work will be necessary to validate that these drugs act as true geroprotectors in model organisms.

A key question is how these interventions will be tested and eventually used clinically in humans. Geroscience predicts that ageing therapies will ameliorate or prevent several age-related diseases and conditions simultaneously. Clinical trials to test this hypothesis should therefore use clinical outcomes that inherently depend on multiple age-related diseases or conditions. Examples include multimorbidity, or the combination of several age-related chronic diseases; the multifactorial geriatric syndromes such as frailty or delirium; or resilience to health stressors such as surgery or infection 154 . Multimorbidity and frailty are also widely incorporated into measures of age-related risk that inform clinical decision-making 155 . Other examples of such measures that could be useful trial outcomes include grip strength, gait speed 156 , timed-up-and-go and activities of daily living.

These clinical measures of ageing could be useful for selecting patients at higher age-related risk to receive interventions. For example, the risk of multimorbidity increases steeply with age 119 ; however, developing one chronic disease increases the risk of developing another by several fold 157 . How early or late in the ageing process interventions can be effective remains to be seen, although animal studies of drugs and human studies of exercise provide some reassurance that the window of opportunity extends quite late in life. At least five major classes of drugs are currently being tested in humans for their geroprotective potential.

Metformin is a widely prescribed antidiabetic drug that has been found to target several molecular mechanisms of ageing 158 . A retrospective analysis of patients with diabetes who received metformin showed increased lifespan in comparison to individuals without diabetes 159 . In randomized trials, metformin prevented the onset of diabetes, improved cardiovascular risk factors and reduced mortality 160 , 161 . Epidemiological studies have suggested that metformin use might also reduce the incidence of cancer and neurodegenerative disease 158 . These data underpin the proposed Targeting Aging with MEtformin (TAME) study, a large randomized controlled trial of metformin given to 65- to 80-year-old individuals without diabetes who are at high risk for the development of chronic diseases of ageing. The primary outcome of TAME is a composite of death or new major age-related chronic diseases, including cardiovascular disease, cancer and dementia. Other outcomes include geriatric measures such as mobility, independence in activities of daily living and cognitive function 162 .

Rapamycin analogues

The compound identified by the ITP that has perhaps the most reproducible effects on lifespan is rapamycin. Rapamycin inhibits the TOR pathway, extends the lifespan of yeast and flies and increases mean and maximum lifespan in mice from multiple genetic backgrounds 163 , 164 , 165 . These basic research data led to a unique clinical trial that studied the effects of rapamycin on heart function, cognition, cancer and lifespan in household companion dogs as a preclinical model 166 . Rapamycin (also known as sirolimus) and its analogue everolimus are approved for clinical use as immunosuppressants in solid organ transplantation. Healthy older adults given a non-immunosuppressive dose of everolimus for six weeks showed an improved immunological response to influenza vaccination 19 . A subsequent clinical trial found that six weeks of low-dose everolimus plus a second TOR inhibitor improved vaccine response and, provocatively, reduced infection rates by over a third during the subsequent nine months 167 . These were two of the first examples of clinical trials that target a syndrome of ageing—immunosenescence—with a drug that targets the mechanisms of ageing.

As discussed above, senolytic drugs—drugs that selectively target and eliminate senescent cells—have showed great geroprotective potential in animal models 95 . Some of these drugs are natural products 96 , 97 , whereas others are synthetic small molecules 90 , 98 , 99 . A growing number of biotechnology companies and research laboratories are developing new or repurposed senolytics that have just begun to be tested for safety in humans, with no results—thus far—regarding efficacy.

Sirtuin activators

Sirtuin-activating compounds (STACs) enhance sirtuin activity and increase healthspan in mice and non-human primates 168 . However, mixed conclusions have been observed in clinical trials. Resveratrol (a natural STAC) and SRT1720 (an early synthetic STAC) have shown promising results in preclinical trials but failed in clinical trials, owing to low bioavailability, potency and limited target specificity 169 . The most promising synthetic STAC so far is SRT2104, a highly specific SIRT1 activator; the compound has completed several small clinical studies of effects on cardiovascular and metabolic markers, including in type 2 diabetes, cigarette smokers and the elderly, with larger trials underway 118 .

NAD + precursors

NAD + precursors such as nicotinamide riboside and nicotinamide mononucleotide aim to supplement the age-associated decrease in cellular NAD levels 69 . In animal models, both precursors have shown geroprotective activity against a number of ageing-associated diseases. Several companies are currently selling nicotinamide riboside and nicotinamide mononucleotide as supplements online. Although these supplements increase NAD levels in humans 170 , no efficacy or geroprotective effects for humans have been demonstrated thus far.

Exercise improves healthspan

Although much hope and investment are currently focused on drug development, it is important to note that exercise behaves as a true and effective geroprotector. In the absence of suitable treatments for age-related dysfunction, exercise is currently the only intervention that has shown a remarkable efficacy for reducing the incidence of age-related disease 171 , 172 , improving the quality of life 173 and even increasing mean and maximum lifespan in humans 174 , 175 . Its benefits can be seen even with modest implementation 173 . Although the key molecular players that mediate the protective effects of exercise against age-related disease are unknown, efforts are underway to identify the molecular players and whether we can harness such knowledge to improve the health of the ageing population.

Nutrition and ageing

Diet is probably one of the most important influences on health and ageing. However, it is an enormously complicated topic and beyond the scope of this Review (extensive discussion on this topic has previously been published 176 ). The field of ageing has focused almost exclusively on the lifespan and healthspan effects of dietary restriction but, at the other end of the spectrum, overeating and the accompanying obesity shortens lifespan and decreases healthspan. In between these two extremes, there is strong evidence that optimal eating is associated with increased life expectancy and a reduction in the risk of all types of chronic disease. Many claims have been made for the competitive merits of different diets relative to one another. However, it is very difficult to conduct rigorous, long-term studies that compare different diets for their lifespan and healthspan effects using methodology that is devoid of bias and confounding variables. Without such direct comparisons, no specific diet can claim superiority over any others. However, a number of themes have emerged from studies that compare different diets and from the study of populations that are geographically associated with increased longevity (so-called ‘blue zones’). Diets that favour longevity and healthspan are generally characterized by minimally processed foods, being predominantly plant-based, low alcohol consumption and a lack of overeating.

Exciting recent developments are emerging in the nutrition field, such as intermittent fasting 177 , diets that mimic fasting 178 and time-restricted feeding 179 . Recently, interest has grown in a ketogenic diet that is characterized by the endogenous production of high levels of the ketone body β-hydroxybutyrate. This diet has long been used as a treatment for childhood epilepsy and was recently shown to increase healthspan in two separate studies in mice 180 , 181 , 182 . The studies are supported by recent findings that β-hydroxybutyrate modulates the enzymatic activity of the epigenetic regulators, histone deacetylases, and thereby activates the expression of FOXO3 183 . Future research will focus on the healthspan and possible lifespan of these dietary interventions and the identification of their interactions with pathways that regulate ageing.

The need for biomarkers of ageing

The field of geroscience needs biomarkers to assess the ageing process and the efficacy of interventions to bypass the need for large-scale longitudinal studies. Medicine has undergone a progressive transformation during the past 40 years, changing from ‘sick care’—that is, care primarily focused on treating diseases after they occurred—to ‘healthcare’, in which unique risk factors for disease development are recognized and suppressed before disease onset. For example, neither high plasma cholesterol nor high blood pressure is a disease by itself but both are important risk factors for the development of myocardial infarction and strokes.

Similarly, ageing is not a disease but a notably strong risk factor for multiple diseases that include myocardial infarction, stroke, some ageing-associated cancers, macular degeneration, osteoarthritis, neurodegeneration and many other diseases. For example, cardiovascular risk doubles every 10 years past the age of 40, even after adjustment for other risk factors—the rough equivalent of adding a major new risk factor (smoking, hypertension and so on) every decade 184 . Decades of cardiovascular studies identified risk factors and showed that treating risk factors even when patients are asymptomatic prevented harm. Treatment guided by these cardiovascular biomarkers now extends earlier and earlier in life. The availability of true biomarkers of ageing, and associated clinical health outcomes and malleability to interventions 162 , would allow geroprotectors to be tested on an accelerated time scale. They would further allow for early identification of patients at high age-related risk throughout life and in various clinical contexts to target geroprotective treatments.

Early efforts to identify such markers have been unsuccessful, but recent developments using newer technologies such as high-throughput proteomics, transcriptomics and epigenomics indicate that such biomarkers do exist and could be of high clinical importance 185 . One possible biomarker, the epigenetic clock, is based on the measurement of DNA methylation at multiple sites and appears to correlate with biological age and age-related risk more than chronological age 186 , 187 , 188 . Advanced glycation end products represent another potential biomarker that accumulates with age and in several age-related diseases 189 . Furthermore, increased levels of some advanced glycation end products are also associated with increased mortality in humans 190 . There already is evidence that ageing biomarkers can be modified by interventions that target ageing, such as in the CALERIE study of calorie restriction in humans 191 . The identification of further biomarkers that predict biological age and disease risk will represent a huge stride forward in the efforts to combat age-related disease and dysfunction in humans.

We are now entering an exciting era for research on ageing. This era holds unprecedented promise for increasing human healthspan: preventing, delaying or—in some cases—reversing many of the pathologies of ageing based on new scientific discoveries. Whether this era promises to increase the maximum life span of humans remains an open question 192 . What is clear is that, 30 years after the fundamental discoveries that link unique genes to ageing, a solid foundation has been built and clinical trials that directly target the ageing process are being initiated. Although considerable difficulties can be expected as we translate this research to humans, the potential rewards in terms of healthy ageing far outweigh the risks.

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Acknowledgements

We thank I. Park and D. Powell for editing/proofreading this Review and J. Carroll for assistance with figures.

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Judith Campisi, Pankaj Kapahi, Gordon J. Lithgow, Simon Melov, John C. Newman & Eric Verdin

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J.C. is a scientific founder of Unity Biotechnology, a company that develops senolytics. G.J.L. and S.M. are scientific founders of Gerostate Alpha, a drug-development company focused on creating novel pharmaceuticals that mitigate age-related disease and dysfunction. J.C.N. and E.V. are scientific founders of BHB Therapeutics, a company focused on the therapeutic effects of the ketone body β-hydroxybutyrate. E.V. is a scientific founder of Napa Therapeutics, a company that studies NAD metabolism during ageing.

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Campisi, J., Kapahi, P., Lithgow, G.J. et al. From discoveries in ageing research to therapeutics for healthy ageing. Nature 571 , 183–192 (2019). https://doi.org/10.1038/s41586-019-1365-2

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New methodologies in ageing research

Affiliations.

  • 1 Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.
  • 2 Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark. Electronic address: [email protected].
  • PMID: 32512174
  • DOI: 10.1016/j.arr.2020.101094

Ageing is arguably the most complex phenotype that occurs in humans. To understand and treat ageing as well as associated diseases, highly specialised technologies are emerging that reveal critical insight into the underlying mechanisms and provide new hope for previously untreated diseases. Herein, we describe the latest developments in cutting edge technologies applied across the field of ageing research. We cover emerging model organisms, high-throughput methodologies and machine-driven approaches. In all, this review will give you a glimpse of what will be pushing the field onwards and upwards.

Keywords: Ageing; High-throughput methods; Machine learning; Model organisms.

Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

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