Evidence map›Paper›PMID 42693087›Full record

ArticleNature communications2026

Single-nucleus analysis of human white adipose tissue reveals adipocyte subsets with distinct metabolic profiles.

Vissarion Efthymiou, Adhideb Ghosh, Sean D Kodani, Habib Muallem, Xavier Caubit, Waqar Ali, Lindsay S Poulos, Henrique Camara, Anushka Gupta, Yasmine Belaidouni and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. 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

5 · Who and what money

Authors and funding

20 authors.

Vissarion EfthymiouSection of Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Adhideb GhoshDepartment of Health Sciences and Technology, Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.ORCID http://orcid.org/0000-0002-5160-4571
Sean D KodaniSection of Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Habib MuallemDepartment of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Xavier CaubitAix-Marseille University, CNRS, IBDM, UMR7288, Marseille, France.ORCID http://orcid.org/0000-0003-0064-5231
Waqar AliSection of Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0009-0009-6819-5442
Lindsay S PoulosSection of Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Henrique CamaraSection of Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Anushka GuptaDepartment of Bioengineering, University of California, Berkeley, CA, USA.
Yasmine BelaidouniAix-Marseille University, CNRS, IBDM, UMR7288, Marseille, France.
A Sina BooeshaghiDepartment of Bioengineering, University of California, Berkeley, CA, USA.
Shiyi YangCenter for Computational Biology, University of California, Berkeley, CA, USA.
Ruchir RastogiDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.
Farnaz ShamsiSection of Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3506-6950
Ashley VernonDepartment of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Laurent FasanoAix-Marseille University, CNRS, IBDM, UMR7288, Marseille, France.ORCID http://orcid.org/0000-0003-2307-8428
Assaf RudichDepartment of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID http://orcid.org/0000-0002-1366-1444
Aaron StreetsDepartment of Bioengineering, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-3909-8389
Yu-Hua TsengSection of Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-2053-9559
Mary Elizabeth PattiSection of Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA. Mary.elizabeth.patti@joslin.harvard.edu.ORCID http://orcid.org/0000-0002-8163-3429

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
NIDDK NIH HHS P30 DK036836
6 · The paper itself

Abstract

Anatomic location of white adipose tissue is a determinant of cardiometabolic risk. To understand differences within/between adipose depots, we generated 65,668 single-nucleus transcriptomes from human subcutaneous or intraabdominal adipose tissue (SAT/IAT). Unsupervised analysis reveals 26 adipose-resident cell clusters including two subpopulations of mature adipocytes, characterized by high vs. low expression of adipocyte maturation genes (ADIPOMAT

Indexed as

AdipocytesAdipose Tissue, WhiteCell NucleusAdipogenesisAdultAnimalsCell DifferentiationFemaleGene Expression ProfilingHumansIntra-Abdominal FatMaleMiceSubcutaneous FatTranscriptome

Identifiers

PMID42693087
PMCPMC13542157

What OpenQuestion 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 OpenQuestion graph.