Evidence map›Paper›PMID 39143696›Full record

ArticleAging cell2024

Loss of immune cell identity with age inferred from large atlases of single cell transcriptomes.

Erin Connolly, Tony Pan, Maneesha Aluru, Sriram Chockalingam, Vishal Dhere, Greg Gibson

Abstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

6 authors.

Erin ConnollyCenter for Integrative Genomics, and School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Tony PanInstitute for Data Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Maneesha AluruInstitute for Data Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Sriram ChockalingamInstitute for Data Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Vishal DhereWinship Cancer Institute, Department of Radiation Oncology, Emory University Hospital Midtown, Atlanta, Georgia, USA.
Greg GibsonCenter for Integrative Genomics, and School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0002-5352-5877

Funding

T32 Research Training Program in ImmunoEngineeringT32EB021962 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI JULIA E BABENSEE · 2017 to 2026
$1.9M
NIBIB NIH HHS 1T32EB021962-01A1NIBIB NIH HHS T32 EB021962
6 · The paper itself

Abstract

By analyzing two large atlases of almost 4 million cells, we show that immune-senescence involves a gradual loss of cellular identity, reflecting increased cellular heterogeneity, for effector, and cytotoxic immune cells. The effects are largely similar in both males and females and were robustly reproduced in two atlases, one assembled from 35 diverse studies including 678 adults, the other the OneK1K study of 982 adults. Since the mean transcriptional differences among cell-types remain constant across age deciles, there is little evidence for the alternative mechanism of convergence of cell-type identity. Key pathways promoting activation and stemness are down-regulated in aged T cells, while CD8 TEM and CD4 CTLs exhibited elevated inflammatory, and cytotoxicity in older individuals. Elevated inflammatory signaling pathways, such as MAPK and TNF-alpha signaling via NF-kB, also occur across all aged immune cells, particularly amongst effector immune cells. This finding of lost transcriptional identity with age carries several implications, spanning from a fundamental biological understanding of aging mechanisms to clinical perspectives on the efficacy of immunomodulation in elderly people.

Indexed as

AgingTranscriptomeAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSingle-Cell Analysiscomputational pipelinedifferential expressionimmune cell agingperipheral blood mononuclear cellsscRNAseq

Identifiers

PMID39143696
PMCPMC11634704

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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.