Evidence map›Paper›PMID 30842675›Full record

ArticleNature medicine2019

A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring.

Ayelet Alpert, Yishai Pickman, Michael Leipold, Yael Rosenberg-Hasson, Xuhuai Ji, Renaud Gaujoux, Hadas Rabani, Elina Starosvetsky, Ksenya Kveler, Steven Schaffert and 8 more

Open access · greenAbstract read
In one paragraph

Article in Nature medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 307 papers.

0numbers the graph read from it
0cells of the map it votes in
307citing papers in PubMed
24.0field-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

307 citing papers in PubMed, 515 citations in OpenAlex.

  1. Trial
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  5. Article
  6. The immunology behind inflammaging-causes, sources, and mechanisms.The Journal of allergy and clinical immunology · 2026
    Review
  7. Article
  8. The long-lived immune system of centenarians.Nature reviews. Immunology · 2026
    Review
  9. Article
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  12. Article
  13. Article
  14. Review
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  19. Article
  20. Immune Aging is an Independent Risk Factor for Cardiovascular Disease.bioRxiv : the preprint server for biology · 2026
    Article

247 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 3 countries.

Ayelet AlpertFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Yishai PickmanFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Michael LeipoldInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5389-0906
Yael Rosenberg-HassonInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Xuhuai JiInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Renaud GaujouxFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Hadas RabaniFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Elina StarosvetskyFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Ksenya KvelerFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Steven SchaffertInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
David FurmanInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3654-9519
Oren CaspiFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Uri RosenscheinFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Purvesh KhatriInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Cornelia L DekkerInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3871-918X
Holden T MaeckerInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Mark M DavisInstitute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA. mmdavis@stanford.edu.
Shai S Shen-OrrFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel. shenorr@technion.ac.il.ORCID http://orcid.org/0000-0002-6991-7736
Technion – Israel Institute of Technology · ILStanford University · USStanford Medicine · USHoward Hughes Medical Institute · 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
Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
NCI NIH HHS P30 CA124435NCRR NIH HHS UL1 RR025744NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI090019
6 · The paper itself

Abstract

Immune responses generally decline with age. However, the dynamics of this process at the individual level have not been characterized, hindering quantification of an individual's immune age. Here, we use multiple 'omics' technologies to capture population- and individual-level changes in the human immune system of 135 healthy adult individuals of different ages sampled longitudinally over a nine-year period. We observed high inter-individual variability in the rates of change of cellular frequencies that was dictated by their baseline values, allowing identification of steady-state levels toward which a cell subset converged and the ordered convergence of multiple cell subsets toward an older adult homeostasis. These data form a high-dimensional trajectory of immune aging (IMM-AGE) that describes a person's immune status better than chronological age. We show that the IMM-AGE score predicted all-cause mortality beyond well-established risk factors in the Framingham Heart Study, establishing its potential use in clinics for identification of patients at risk.

Indexed as

Healthy VolunteersMortalityAdultAgedAged, 80 and overAgingCytokinesFemaleHumansImmunosenescenceIndividualityLongitudinal StudiesLymphocytesMaleMiddle AgedMultivariate AnalysisCytokines

Identifiers

PMID30842675
PMCPMC6686855
OpenAlexW2919822707

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.