Evidence map›Paper›PMID 41210951›Full record

ReviewFrontiers in cellular and infection microbiology2025

Immunometabolic reprogramming in diabetic osteomyelitis: from mechanisms to therapeutics.

Hui Zhang, Zi-Shan Fu, Ying Zhou, Song-Nan Wang, Si-Ying Ye, An-Na Wang, Jun-Tong Liu

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors.

Hui ZhangLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Zi-Shan FuLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Ying ZhouLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Song-Nan WangLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Si-Ying YeLiaoning University of Traditional Chinese Medicine, Shenyang, China.
An-Na WangLiaoning University of Traditional Chinese Medicine, Shenyang, China.
Jun-Tong LiuLiaoning University of Traditional Chinese Medicine, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a globally prevalent metabolic disorder characterized by impaired immune function due to poor glycaemia control, significantly increasing the risk of osteomyelitis. The occurrence of bone infection not only compromises patients' quality of life but also poses substantial challenges in clinical management. Recent studies have identified immunometabolic reprogramming as a pivotal player in the pathogenesis and progression of diabetic osteomyelitis. This reprogramming not only disrupts immune cell functionality but also modulates the local microenvironment, thereby impairing bone repair processes. Although preliminary research has explored the underlying mechanisms, a comprehensive understanding of the precise role of immunometabolic reprogramming and its potential therapeutic targeting in diabetic osteomyelitis remains elusive. This review synthesizes current advances in immunometabolic reprogramming within diabetic osteomyelitis, elucidates its biological mechanisms, and proposes novel intervention strategies to inform clinical practice and inspire future therapeutic development.

Indexed as

Diabetes ComplicationsDiabetes MellitusOsteomyelitisAnimalsHumansdiabetes mellitusimmunometabolic reprogrammingmechanismsosteomyelitistherapeutics

Identifiers

PMID41210951
PMCPMC12592201

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.