Evidence map›Paper›PMID 39381218›Full record

ReviewHeliyon2024

Crosstalk between macrophages and immunometabolism and their potential roles in tissue repair and regeneration.

Hongbo Ma, Limei Gao, Rong Chang, Lihong Zhai, Yanli Zhao

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Immunomodulatory Nanozymes as Programmable Redox-Immune Set-Point Regulators.Small (Weinheim an der Bergstrasse, Germany) · 2026
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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.

Hongbo MaSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 610075, China.
Limei GaoDepartment of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China.
Rong ChangDepartment of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China.
Lihong ZhaiInstitute of Neuroscience and Brain Disease, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, 441000, Hubei, China.
Yanli ZhaoDepartment of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune metabolism is a result of many specific metabolic reactions, such as glycolysis, the tricarboxylic acid (TCA) pathway, the pentose phosphate pathway (PPP), mitochondrial oxidative phosphorylation (OXPHOS), fatty acid oxidation (FAO), fatty acid biosynthesis (FAs) and amino acid pathways, which promote cell proliferation and maintenance with structural and pathological energy to regulate cellular signaling. The metabolism of macrophages produces many metabolic intermediates that play important regulatory roles in tissue repair and regeneration. The metabolic activity of proinflammatory macrophages (M1) mainly depends on glycolysis and the TCA cycle system, but anti-inflammatory macrophages (M2) have intact functions of the TCA cycle, which enhances FAO and is dependent on OXPHOS. However, the metabolic mechanisms of macrophages in tissue repair and regeneration have not been well investigated. Thus, we review how three main metabolic mechanisms of macrophages, glucose metabolism, lipid metabolism, and amino acid metabolism, regulate tissue repair and regeneration.

Indexed as

Amino acid metabolismGlucose metabolismLipid metabolismMacrophagesTissue repair and regeneration

Identifiers

PMID39381218
PMCPMC11458987

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.