Evidence map›Paper›PMID 32643301›Full record

ArticleJournal of cachexia, sarcopenia and muscle2020

Single-cell deconstruction of post-sepsis skeletal muscle and adipose tissue microenvironments.

Dong Seong Cho, Rebecca E Schmitt, Aneesha Dasgupta, Alexandra M Ducharme, Jason D Doles

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

36 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Acute peritonitis-induced adipose CD127Nature communications · 2026
    Article
  3. Cancer cachexia: molecular basis and therapeutic advances.Signal transduction and targeted therapy · 2026
    Review
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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

5 authors at 1 institution in 1 country.

Dong Seong ChoDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
Rebecca E SchmittDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
Aneesha DasguptaDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
Alexandra M DucharmeDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
Jason D DolesDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · US

Funding

Musculoskeletal Research Training ProgramT32AR056950 · NIAMS · MAYO CLINIC ROCHESTER · PI Jennifer J Westendorf · 2009 to 2026
$7.0M
Mechanisms of sepsis-associated muscle stem cell dysfunctionR35GM128594 · NIGMS · MAYO CLINIC ROCHESTER · PI DOLES, JASON · 2018 to 2022
$2.0M
Post-transcriptional Regulation of Satellite Cell FunctionR00AR066696 · NIAMS · MAYO CLINIC ROCHESTER · PI DOLES, JASON · 2016 to 2018
$961k
Post-transcriptional Regulation of Satellite Cell FunctionK99AR066696 · NIAMS · UNIVERSITY OF COLORADO · PI DOLES, JASON · 2015 to 2015
$93k
NIAMS NIH HHS K99 AR066696NIAMS NIH HHS R00 AR066696NIAMS NIH HHS T32 AR056950NIGMS NIH HHS R35 GM128594
6 · The paper itself

Abstract

backgroundPersistent loss of skeletal muscle mass and function as well as altered fat metabolism are frequently observed in severe sepsis survivors. Studies examining sepsis-associated tissue dysfunction from the perspective of the tissue microenvironment are scarce. In this study, we comprehensively assessed transcriptional changes in muscle and fat at single-cell resolution following experimental sepsis induction.

methodsSkeletal muscle and visceral white adipose tissue from control mice or mice 1 day or 1 month following faecal slurry-induced sepsis were used. Single cells were mechanically and enzymatically prepared from whole tissue, and viable cells were further isolated by fluorescence activated cell sorting. Droplet-based single-cell RNA-sequencing (scRNA-seq; 10× Genomics) was used to generate single-cell gene expression profiles of thousands of muscle and fat-resident cells. Bioinformatics analyses were performed to identify and compare individual cell populations in both tissues.

resultsIn skeletal muscle, scRNA-seq analysis classified 1438 single cells into myocytes, endothelial cells, fibroblasts, mesenchymal stem cells, macrophages, neutrophils, T-cells, B-cells, and dendritic cells. In adipose tissue, scRNA-seq analysis classified 2281 single cells into adipose stem cells, preadipocytes, endothelial cells, fibroblasts, macrophages, dendritic cells, B-cells, T-cells, NK cells, and gamma delta T-cells. One day post-sepsis, the proportion of most non-immune cell populations was decreased, while immune cell populations, particularly neutrophils and macrophages, were highly enriched. Proportional changes of endothelial cells, neutrophils, and macrophages were validated using faecal slurry and cecal ligation and puncture models. At 1 month post-sepsis, we observed persistent enrichment/depletion of cell populations and further uncovered a cell-type and tissue-specific ability to return to a baseline transcriptomic state. Differential gene expression analyses revealed key genes and pathways altered in post-sepsis muscle and fat and highlighted the engagement of infection/inflammation and tissue damage signalling. Finally, regulator analysis identified gonadotropin-releasing hormone and Bay 11-7082 as targets/compounds that we show can reduce sepsis-associated loss of lean or fat mass.

conclusionsThese data demonstrate persistent post-sepsis muscle and adipose tissue disruption at the single-cell level and highlight opportunities to combat long-term post-sepsis tissue wasting using bioinformatics-guided therapeutic interventions.

Indexed as

Adipose TissueMuscle, SkeletalSepsisAnimalsEndothelial CellsFemaleMaleMiceTranscriptomeFatSepsisSingle-cell RNA-sequencingSkeletal muscle

Identifiers

PMID32643301
PMCPMC7567136
OpenAlexW3041978440

What Socratic 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 Socratic graph.