Evidence map›Paper›PMID 34369600›Full record

ArticleJournal of cellular physiology2022

Visceral fat-specific regulation of plasminogen activator inhibitor-1 in aged septic mice.

Maria E C Bruno, Sujata Mukherjee, Arnold J Stromberg, Hiroshi Saito, Marlene E Starr

Open access · greenAbstract read
In one paragraph

Article in Journal of cellular physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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.

Maria E C BrunoAging and Critical Care Research Laboratory, University of Kentucky, Lexington, Kentucky, USA.
Sujata MukherjeeAging and Critical Care Research Laboratory, University of Kentucky, Lexington, Kentucky, USA.
Arnold J StrombergDepartment of Statistics, University of Kentucky, Lexington, Kentucky, USA.
Hiroshi SaitoAging and Critical Care Research Laboratory, University of Kentucky, Lexington, Kentucky, USA.
Marlene E StarrAging and Critical Care Research Laboratory, University of Kentucky, Lexington, Kentucky, USA.ORCID 0000-0003-0304-348X
University of Kentucky · US

Funding

Visceral fat gamma delta T cells in sepsis pathogenesisR01GM129532 · NIGMS · UNIVERSITY OF KENTUCKY · PI STARR, MARLENE ELENA · 2018 to 2022
$1.6M
Mechanisms mediating severity of acute pancreatitis in the agedR01AG055359 · NIA · UNIVERSITY OF KENTUCKY · PI SAITO, HIROSHI · 2017 to 2021
$1.6M
Chronic muscle weakness in sepsis survivorsR01GM126181 · NIGMS · UNIVERSITY OF KENTUCKY · PI SAITO, HIROSHI · 2017 to 2020
$1.2M
The Role of Gamma Delta (γδ)-T Cells in Age-Associated Adipose Tissue InflammationR56AG061508 · NIA · UNIVERSITY OF KENTUCKY · PI STARR, MARLENE ELENA · 2019 to 2019
$377k
NIA NIH HHS R01 AG055359NIA NIH HHS R01AG055359NIA NIH HHS R56 AG061508NIA NIH HHS R56AG061508NIGMS NIH HHS R01 GM126181NIGMS NIH HHS R01GM126181NIGMS NIH HHS R01 GM129532NIGMS NIH HHS R01GM129532
6 · The paper itself

Abstract

Elevated plasma levels of plasminogen activator inhibitor-1 (PAI-1) are documented in patients with sepsis and levels positively correlate with disease severity and mortality. Our previous work demonstrated that visceral adipose tissues (VAT) are a major source of PAI-1, especially in the aged (murine endotoxemia), that circulating PAI-1 protein levels match the trajectory of PAI-1 transcript levels in VAT (clinical sepsis), and that PAI-1 in both VAT and plasma are positively associated with acute kidney injury (AKI) in septic patients. In the current study utilizing preclinical sepsis models, PAI-1 tissue distribution was examined and cellular sources, as well as mechanisms mediating PAI-1 induction in VAT, were identified. In aged mice with sepsis, PAI-1 gene expression was significantly higher in VAT than in other major organs. VAT PAI-1 gene expression correlated with PAI-1 protein levels in both VAT and plasma. Moreover, VAT and plasma levels of PAI-1 were positively associated with AKI markers, modeling our previous clinical data. Using explant cultures of VAT, we determined that PAI-1 is secreted robustly in response to recombinant transforming growth factor β (TGFβ) and tumor necrosis factor α (TNFα) treatment; however, neutralization was effective only for TNFα indicating that TGFβ is not an endogenous modulator of PAI-1. Within VAT, TNFα was localized to neutrophils and macrophages. PAI-1 protein levels were fourfold higher in stromal vascular fraction (SVF) cells compared with mature adipocytes, and among SVF cells, both immune and nonimmune compartments expressed PAI-1 in a similar fashion. PAI-1 was localized predominantly to macrophages within the immune compartment and preadipocytes and endothelial cells within the nonimmune compartment. Collectively, these results indicate that induction and secretion of PAI-1 from VAT is facilitated by a complex interaction among immune and nonimmune cells. As circulating PAI-1 contributes to AKI in sepsis, understanding PAI-1 regulation in VAT could yield novel strategies for reducing systemic consequences of PAI-1 overproduction.

Indexed as

Acute Kidney InjurySepsisAnimalsEndothelial CellsIntra-Abdominal FatMicePlasminogen Activator Inhibitor 1Transforming Growth Factor betaTumor Necrosis Factor-alphaPlasminogen Activator Inhibitor 1Transforming Growth Factor betaTumor Necrosis Factor-alphaadipose tissueagingkidney injuryPAI-1sepsis

Identifiers

PMID34369600
PMCPMC8810697
OpenAlexW3188468276

What OpenQuestion holds

Textmetadata
LicenceTDM
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.