Evidence map›Paper›PMID 34888528›Full record

ArticleNature aging2021

An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging.

Nazish Sayed, Yingxiang Huang, Khiem Nguyen, Zuzana Krejciova-Rajaniemi, Anissa P Grawe, Tianxiang Gao, Robert Tibshirani, Trevor Hastie, Ayelet Alpert, Lu Cui and 16 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 347 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
347citing papers in PubMed, 1 pooled it
34.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

347 citing papers in PubMed, 1 synthesis or guideline pooled it, 543 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. The long-lived immune system of centenarians.Nature reviews. Immunology · 2026
    Review
  7. The immunology behind inflammaging-causes, sources, and mechanisms.The Journal of allergy and clinical immunology · 2026
    Review
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287 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 12 institutions in 7 countries.

Nazish SayedStanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-8229-721X
Yingxiang HuangBuck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA.
Khiem NguyenBuck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA.
Zuzana Krejciova-RajaniemiEdifice Health Inc., San Mateo, CA, USA.
Anissa P GraweBuck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA.
Tianxiang GaoDepartment of Computer Science, University of North Carolina, Chapel Hill, NC, USA.
Robert TibshiraniDepartment of Statistics and Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
Trevor HastieDepartment of Statistics and Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-0164-3142
Ayelet AlpertFaculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.
Lu CuiDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3531-8102
Tatiana KuznetsovaResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Yael Rosenberg-HassonHuman Immune Monitoring Center, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Rita OstanInterdepartmental Centre L. Galvani (CIG), Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Daniela MontiDepartment of Experimental Clinical and Biomedical Sciences, Mario Serio, University of Florence, Florence, Italy.ORCID 0000-0001-8651-8123
Benoit LehallierDepartment of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.ORCID 0000-0001-7452-3785
Shai S Shen-OrrFaculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.ORCID 0000-0002-6991-7736
Holden T MaeckerHuman Immune Monitoring Center, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Cornelia L DekkerDivision of Pediatric Infectious Diseases, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3871-918X
Tony Wyss-CorayDepartment of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.ORCID 0000-0001-5893-0831
Claudio FranceschiInstitute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhny, Russia.
Vladimir JojicEdifice Health Inc., San Mateo, CA, USA.
François HaddadStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
José G MontoyaDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Joseph C WuStanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Mark M DavisStanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA.
David FurmanStanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3654-9519
Stanford University · USBuck Institute for Research on Aging · USCardiovascular Institute of the South · USSan Mateo County Health System · USStanford Medicine · USTechnion – Israel Institute of Technology · ILHoward Hughes Medical Institute · USKU Leuven · BEN. I. Lobachevsky State University of Nizhny Novgorod · RUUniversity of Bologna · ITUniversity of Florence · ITUniversity of North Carolina at Chapel Hill · US

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI ELIZABETH MORMINO · 2020 to 2026
$29.0M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
Working Memory in Parkinson Disease: A Cognitive & Systems Neuroscience ApproachP50AG047366 · NIA · STANFORD UNIVERSITY · PI GREICIUS, MICHAEL D · 2015 to 2019
$7.9M
Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI PERIYAKOIL, VYJEYANTHI S, YESAVAGE, JEROME A · 2018 to 2025
$4.9M
Modeling Endothelial Dysfunction in LMNA-related Dilated CardiomyopathyK01HL135455 · NHLBI · STANFORD UNIVERSITY · PI SAYED, NAZISH · 2017 to 2021
$828k
NCATS NIH HHS UL1 TR003142NCRR NIH HHS UL1 RR025744NHLBI NIH HHS K01 HL135455NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI090019NIA NIH HHS P30 AG059307NIA NIH HHS P30 AG066515NIA NIH HHS P50 AG047366NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

While many diseases of aging have been linked to the immunological system, immune metrics capable of identifying the most at-risk individuals are lacking. From the blood immunome of 1,001 individuals aged 8-96 years, we developed a deep-learning method based on patterns of systemic age-related inflammation. The resulting inflammatory clock of aging (iAge) tracked with multimorbidity, immunosenescence, frailty and cardiovascular aging, and is also associated with exceptional longevity in centenarians. The strongest contributor to iAge was the chemokine CXCL9, which was involved in cardiac aging, adverse cardiac remodeling and poor vascular function. Furthermore, aging endothelial cells in human and mice show loss of function, cellular senescence and hallmark phenotypes of arterial stiffness, all of which are reversed by silencing CXCL9. In conclusion, we identify a key role of CXCL9 in age-related chronic inflammation and derive a metric for multimorbidity that can be utilized for the early detection of age-related clinical phenotypes.

Indexed as

Deep LearningFrailtyImmunosenescenceAged, 80 and overAgingAnimalsEndothelial CellsHumansInflammationMiceMultimorbidity

Identifiers

PMID34888528
PMCPMC8654267
OpenAlexW3182997864

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.