Evidence map›Paper›PMID 37090127›Full record

ReviewDiabetology international2023

Heterogeneity of adipose tissue-resident macrophages-beyond M1/M2 paradigm.

Allah Nawaz, Shiho Fujisaka, Tomonobu Kado, Ishtiaq Jeelani, Kazuyuki Tobe

Open access · hybridAbstract readReview
In one paragraph

Review in Diabetology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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  12. Editorial: Recent advances in immunometabolism.Frontiers in pharmacology · 2024
    Article
  13. Insulin resistance and adipose tissue.Diabetology international · 2023
    Review
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 3 institutions in 2 countries.

Allah NawazFirst Department of Internal Medicine, Faculty of Medicine, University of Toyama, Toyama-Shi, Toyama, 930-0194 Japan.
Shiho FujisakaFirst Department of Internal Medicine, Faculty of Medicine, University of Toyama, Toyama-Shi, Toyama, 930-0194 Japan.
Tomonobu KadoFirst Department of Internal Medicine, Faculty of Medicine, University of Toyama, Toyama-Shi, Toyama, 930-0194 Japan.
Ishtiaq JeelaniDepartment of Medicine, Division of Endocrinology and Metabolism, University of California, San Diego, CA USA.
Kazuyuki TobeFirst Department of Internal Medicine, Faculty of Medicine, University of Toyama, Toyama-Shi, Toyama, 930-0194 Japan.ORCID 0000-0003-0015-0255
University of Toyama · JPJoslin Diabetes Center · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose tissue-resident macrophages (ATMs) are reported to be important for maintaining adipose tissue remodeling and homeostasis. ATMs were classified for the first time in 2007 into the M1 and M2 types. This theory suggests that in the non-obese adipose tissue, the anti-inflammatory, alternatively activated macrophages (AAMs) predominate, and regulate tissue homeostasis, remodeling, and insulin sensitivity. On the other hand, classically activated M1-type macrophages increase rapidly in obesity, secrete inflammatory cytokines, such as TNFα and IL-6, and induce insulin resistance. In recent years, experimental findings that cannot be explained by this theory have been clarified one after another and the theory is being reconsidered. In this review, based on recent findings, we summarize reports on the novel metabolic regulatory functions of ATMs beyond the M1/M2 paradigm.

Indexed as

Adipose tissueInsulin resistanceM2 macrophagePreadipocytes

Identifiers

PMID37090127
PMCPMC10113418
OpenAlexW4362583960

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.