Evidence map›Paper›PMID 40862296›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Variations in Innate Immune Cell Subtypes Correlate with Epigenetic Clocks, Inflammaging and Health Outcomes.

Xiaolong Guo, Josephine A Robertson, Andrea Aparicio, Kirsten Seale, Qingwen Chen, Anne Richmond, Zhaozhen Du, Mahnoor Sulaiman, Shijie C Zheng, Esteban Ballestar and 8 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Xiaolong GuoShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
Josephine A RobertsonCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Andrea AparicioChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Kirsten SealeTruDiagnostics, 881 Corporate Dr, Lexington, KY, 40503, USA.
Qingwen ChenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Anne RichmondCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Zhaozhen DuShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
Mahnoor SulaimanDepartment of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, Leiden, 2333 ZC, The Netherlands.
Shijie C ZhengPfizer Research & Development, Pfizer Inc., Groton, Connecticut, CT06340, USA.
Esteban BallestarEpigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, 08916, Spain.
Charlotte Am CecilDepartment of Child and Adolescent Psychiatry/Psychology, Sophia's Children Centre, Erasmus MC, Rotterdam, 3015 CN, The Netherlands.
Bastiaan T HeijmansDepartment of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, Leiden, 2333 ZC, The Netherlands.
Steve HorvathAltos Labs, Cambridge, CB21 6GP, UK.
Varun B DwarakaTruDiagnostics, 881 Corporate Dr, Lexington, KY, 40503, USA.
Jessica Lasky-SuTruDiagnostics, 881 Corporate Dr, Lexington, KY, 40503, USA.
Ryan SmithChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Andrew E TeschendorffShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.ORCID https://orcid.org/0000-0001-7410-6527

Funding

European Research Council 101039672Government Health Directorates CZD/16/6Medical Research Council UKNational Natural Science Foundation of China 32170652National Natural Science Foundation of China 32370699National Natural Science Foundation of China W2431024R.E.M. is supported by Alzheimer's Society project AS-PG-19b-010Royal College of Physicians of EdinburghScottish Funding Council HR03006Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 221890/Z/20/ZWellcome Trust 319878/Z/24/ZWellcome (Wellcome Trust Strategic Award STratifying Resilience and Depression Longitudinally 104036/Z/14/Z
6 · The paper itself

Abstract

Epigenetic clocks in blood have shown promise as tools to quantify biological age, displaying robust associations with morbidity and all-cause mortality. Whilst the effect of cell-type heterogeneity on epigenetic clock estimates has been explored, such studies have been limited to studying heterogeneity within the adaptive immune system. Much less is known about whether heterogeneity within the innate immune system can impact epigenetic clock estimates and their associations with health outcomes. Here, we apply a high-resolution DNAm reference panel of 19 immune cell-types, including young and adult monocyte, natural killer, and neutrophil subsets, demonstrating how shifts within these innate subtypes display associations with epigenetic clock acceleration, inflammaging, and all-cause mortality. The associations of monocyte heterogeneity with inflammation are further validated using transcriptomic and metabolomic data. Additionally, a non-negligible fraction of nucleated red blood cell-like cells in circulation is found to associate with inflammaging, markers of dysfunctional erythropoiesis, and is a major risk factor for all-cause mortality. These results extend findings obtained within the adaptive immune system to innate immune and erythrocyte-like cells, demonstrating how heterogeneity within these other blood cell compartments is also associated with inflammaging, epigenetic clocks, and health outcomes.

Indexed as

AgingEpigenesis, GeneticImmunity, InnateInflammationAdultFemaleHumansKiller Cells, NaturalMaleMiddle AgedMonocytesNeutrophilsaging BiomarkersDNA methylationepigenetic clockshealth outcomesinflammaginginnate immune system

Identifiers

PMID40862296
PMCPMC12631840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.