Evidence map›Paper›PMID 37503028›Full record

ArticleResearch square2023

A single nuclei atlas of aging human abdominal subcutaneous white adipose tissue.

Lauren Sparks, Katie Whytock, Adeline Divoux, Yifei Sun, Maria Pino, Gongxin Yu, Steven Smith, Martin Walsh

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Lauren SparksTranslational Research Institute, AdventHealth.ORCID 0000-0002-8724-6016
Katie WhytockTranslational Research Institute, AdventHealth.
Adeline DivouxTranslational Research Institute, AdventHealth.
Yifei SunIcahn School of Medicine at Mount Sinai.
Maria PinoTranslational Research Institute, AdventHealth.
Gongxin YuTranslational Research Institute, AdventHealth.
Steven SmithTranslational Research Institute, AdventHealth.
Martin WalshIcahn School of Medicine at Mount Sinai.
Translational Research Institute · AUIcahn School of Medicine at Mount Sinai · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
The Exercise and Physical Activity Collaborative Team (ExPACT): a Proposed MoTrPAC Clinical CenterU01AR071133 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BUFORD, THOMAS W, GOODPASTER, BRET H · 2017 to 2024
$16.7M
NIAMS NIH HHS U01 AR071133NIDDK NIH HHS P30 DK020541
6 · The paper itself

Abstract

White adipose tissue (WAT) is a robust energy storage and endocrine organ critical for maintaining metabolic health as we age. Our aim was to identify cell-specific transcriptional aberrations that occur in WAT with aging. We leveraged full-length snRNA-Seq to characterize the cellular landscape of human subcutaneous WAT in a prospective cohort of 10 Younger (≤ 30 years) and 10 Older individuals (≥ 65 years) balanced for sex and body mass index (BMI). We highlight that aging WAT is associated with adipocyte hypertrophy, increased proportions of resident macrophages (M2), an upregulated innate immune response and senescence profiles in specific adipocyte populations, highlighting CXCL14 as a biomarker of this process. We also identify novel markers of pre-adipocytes and track their expression levels through pre-adipocyte differentiation. We propose that aging WAT is associated with low-grade inflammation that is managed by a foundation of innate immunity to preserve the metabolic health of the WAT.

Identifiers

PMID37503028
PMCPMC10371078
OpenAlexW4384132309

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.