Level A· Stronger Clinical EvidenceMeta-analysisEurope PMCOpen access

An integrated single cell and spatial transcriptomic map of human white adipose tissue

Massier L., Jalkanen J., Elmastas M., Zhong J., Wang T., Nono Nankam PA.

Meta-analysis on Type 2 Diabetes, published in Nat Commun (2023) — summary generated from the PubMed abstract.

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Level A· Stronger Clinical EvidenceEvidence level of this study

Relatively higher-quality human studies compared with other topics in this database, e.g. multiple RCTs or systematic reviews. This does not mean it is standard or approved care.

  • Level A · Stronger Clinical Evidence
  • Level B · Emerging clinical evidence with positive signals
  • Level C · Early human research exploring benefits
  • Level D · Scientific groundwork from lab and animal studies
  • Emerging · Emerging topic under active research
Read the A–D evidence level guide

This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.

Study type
Meta-analysis
Journal
Nat Commun (2023)
Reported sample size
—
Source database
Europe PMC
PMID
36922516
PMCID
PMC10017705
DOI
10.1038/s41467-023-36983-2
Citations
157

Abstract (original English)

To date, single-cell studies of human white adipose tissue (WAT) have been based on small cohort sizes and no cellular consensus nomenclature exists. Herein, we performed a comprehensive meta-analysis of publicly available and newly generated single-cell, single-nucleus, and spatial transcriptomic results from human subcutaneous, omental, and perivascular WAT. Our high-resolution map is built on data from ten studies and allowed us to robustly identify >60 subpopulations of adipocytes, fibroblast and adipogenic progenitors, vascular, and immune cells. Using these results, we deconvolved spatial and bulk transcriptomic data from nine additional cohorts to provide spatial and clinical dimensions to the map. This identified cell-cell interactions as well as relationships between specific cell subtypes and insulin resistance, dyslipidemia, adipocyte volume, and lipolysis upon long-term weight changes. Altogether, our meta-map provides a rich resource defining the cellular and microarchitectural landscape of human WAT and describes the associations between specific cell types and metabolic states.

What this study does not prove

  • • This study does not prove SVF is an approved treatment or a replacement for standard care.

Evidence level

Relatively higher-quality human studies compared with other topics in this database, e.g. multiple RCTs or systematic reviews. This does not mean it is standard or approved care.

How we grade evidence
Adipose TissueAdipocytesHumansGene Expression ProfilingAdipogenesisAdipose Tissue, WhiteTranscriptome

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