ReviewAgeing research reviews2020
Single-cell analyses of aging, inflammation and senescence.
Review in Ageing research reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
110 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association between the systemic immune-inflammation index and sarcopenia: a systematic review and meta-analysis.Journal of orthopaedic surgery and research · 2024Pooled it
- Prevalence and risk factors for type 2 diabetes mellitus in women with gestational diabetes mellitus: a systematic review and meta-analysis.Frontiers in endocrinology · 2024Pooled it
- Trial
- Non-Invasive Imaging for the Evaluation of a New Oral Supplement in Skin Aging: A Case-Controlled Study.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)Trial
- Tumor cells escape from therapy-induced senescence: from molecular mechanisms to targeted intervention.Biology direct · 2026Review
- Targeting inflammaging in Alzheimer's disease: molecular pathways and emerging pharmacotherapies.Inflammopharmacology · 2026Review
- Elucidating the therapeutic targets and multi-target mechanisms of salvianolic acid A for diabetic nephropathy.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Article
- The problem with one-size-fits-all medicine: Biological sex and the aging immune system.PLoS biology · 2026Article
- CellVoyager: AI CompBio agent generates new insights by autonomously analyzing biological data.Nature methods · 2026Article
- A single-cell transcriptomic landscape characterizes the endocrine system aging in the mouse.Protein & cell · 2026Article
- DHCR24 Deficiency Drives Age-Related Meibomian Gland Dysfunction by Regulating Lipid Metabolic Imbalance and Cytosolic mtDNA-Induced cGAS-STING Activation.International journal of biological sciences · 2026Article
- Jiawei Zaoqi Decoction Attenuates Polycystic Ovary Syndrome by Inhibiting AGE-RAGE-Mediated Cell Senescence of Granulosa Cells.Current pharmaceutical design · 2026Article
- Aging-associated transcriptional programs in T cells signify constituents of TGF-β signaling for immunosenescence.BMC biology · 2025Article
- Cellular senescence in cancer: Unveiling dual roles, tumor microenvironment dynamics and therapeutic innovations (Review).Oncology letters · 2025Review
- Thymosin α1 alleviates pulpitis by inhibiting ferroptosis of dental pulp cells.International journal of oral science · 2025Article
- Insulin-like growth factor binding protein 7 identified in aged dental pulp by single-cell RNA sequencing.Journal of advanced research · 2025Article
- CD34Journal of advanced research · 2025Article
- Nrf2/Nlrp3 signaling in aging BMSCs: Traf6 intervention as a novel approach to osteoporosis treatment.Redox biology · 2025Article
- Observational
50 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell gene expression (transcriptomics) data are becoming robust and abundant, and are increasingly used to track organisms along their life-course. This allows investigation into how aging affects cellular transcriptomes, and how changes in transcriptomes may underlie aging, including chronic inflammation (inflammaging), immunosenescence and cellular senescence. We compiled and tabulated aging-related single-cell datasets published to date, collected and discussed relevant findings, and inspected some of these datasets ourselves. We specifically note insights that cannot (or not easily) be based on bulk data. For example, in some datasets, the fraction of cells expressing p16 (CDKN2A), one of the most prominent markers of cellular senescence, was reported to increase, in addition to its upregulated mean expression over all cells. Moreover, we found evidence for inflammatory processes in most datasets, some of these driven by specific cells of the immune system. Further, single-cell data are specifically useful to investigate whether transcriptional heterogeneity (also called noise or variability) increases with age, and many (but not all) studies in our review report an increase in such heterogeneity. Finally, we demonstrate some stability of marker gene expression patterns across closely similar studies and suggest that single-cell experiments may hold the key to provide detailed insights whenever interventions (countering aging, inflammation, senescence, disease, etc.) are affecting cells depending on cell type.
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Registered trials
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.