Evidence map›Paper›PMID 41963713›Full record

ArticleNature aging2026

Single-cell analysis of the human immune system reveals sex-specific dynamics of immunosenescence.

Maria Sopena-Rios, Aida Ripoll-Cladellas, Fatemeh Omidi, Sara Ballouz, Jose Alquicira-Hernandez, Roy Oelen, Alex W Hewitt, Lude Franke, Monique G P van der Wijst, Joseph E Powell and 1 more

Abstract read
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In one paragraph

Article in Nature aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. The immunology behind inflammaging-causes, sources, and mechanisms.The Journal of allergy and clinical immunology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Maria Sopena-Rios *Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.
Aida Ripoll-Cladellas *Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.ORCID http://orcid.org/0000-0001-7317-3736
Fatemeh OmidiDepartment of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Sara BallouzSchool of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, Australia.
Jose Alquicira-HernandezCenter for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Roy OelenDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Alex W HewittMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID http://orcid.org/0000-0002-5123-5999
Lude FrankeDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Monique G P van der WijstDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.ORCID http://orcid.org/0000-0003-1520-3970
Joseph E PowellTranslational Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
Marta MeléLife Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain. marta.mele@bsc.es.ORCID http://orcid.org/0000-0001-8874-6453

Funding

Department of Health | National Health and Medical Research Council (NHMRC) APP1107599EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101057553Government of Catalonia | Departament d'Universitats, Recerca i Societat de la Informació (DURSI) 2021 SGR 01577Government of Catalonia | Departament d'Universitats, Recerca i Societat de la Informació (DURSI) FI-3 2024-0065Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PID2019-107937GA-I00Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PRE2019-090193Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) RYC-2017-22249Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) VI.Vidi.223.041Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) ZonMW-VICI 09150182010019
6 · The paper itself

Abstract

Immunosenescence, the progressive aging of the immune system, is characterized by changes in immune cell composition and function that increase susceptibility to disease. However, how biological sex shapes immune aging at the cellular level remains poorly understood. Here, we analyze single-cell RNA sequencing data from the peripheral blood mononuclear cells of 982 female and male donors across adulthood. We find that aging drives sexually dimorphic compositional and transcriptional changes, with female individuals exhibiting stronger immune remodeling. Female-specific changes include the expansion of cytotoxic CD8⁺ effector memory T cell subsets and inflammatory monocytes, and age-related shifts in the CD4⁺ central memory T cell populations involved in autoimmunity. In contrast, a subset of male participants shows an age-associated expansion of a B cell population linked to an asymptomatic precursor state of chronic lymphocytic leukemia. Together, these findings reveal sex-specific hallmarks of immunosenescence and highlight the importance of incorporating biological sex into strategies aimed at promoting healthy immune aging.

Indexed as

AgingImmune SystemImmunosenescenceSex CharacteristicsSingle-Cell AnalysisAdultAgedB-LymphocytesCD8-Positive T-LymphocytesFemaleHumansLeukocytes, MononuclearMaleMiddle AgedSex FactorsSingle-Cell Gene Expression Analysis

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.