Evidence map›Paper›PMID 42112353›Full record

ReviewFrontiers in immunology2026

Diabetic neuropathy's immune-metabolic network: mechanistic complexity, therapeutic challenges, and the path forward.

Wenjuan Sun, Kunpeng Yang, Yangyang Song

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

3 authors.

Wenjuan SunJilin Provincial People's Hospital, Changchun, China.
Kunpeng YangJilin Provincial People's Hospital, Changchun, China.
Yangyang SongJilin Provincial People's Hospital, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic neuropathy (DN) is the most prevalent and debilitating complication of diabetes, with a notable absence of effective disease-modifying therapies in clinical practice. This article proposes a shift in the pathological progression of DN from focusing on "metabolic toxicity" to an integrated dysfunction within the "immune-metabolic network." We analyze the core mechanisms underlying this network and highlight how the diabetic microenvironment may drive immune cells to shift abnormally from the "Warburg effect" to "metabolic inflexibility" and "metabolic paralysis," ultimately failing to resolve inflammation and causing persistent tissue damage. Furthermore, we identify a "zero-sum game" between Schwann cells (SCs) in their roles in immune response and metabolic support. Pro-inflammatory signals trigger the collapse of the "lactate shuttle" mechanism, exposing neurons to the dual insults of "hunger" and "toxicity." At the molecular level, we highlight ZBP1 as a critical switch, sensing mitochondrial damage and is proposed to trigger the assembly of the PANoptosome complex, which forms the terminal execution pathway for neurodegenerative lesions. Given the current gap between animal models and clinical realities, we propose employing spatial transcriptomics to examine subpopulation differences between the nerve sheath and endoneurium, alongside the development of novel precision therapies targeting NLRP3 or utilizing metabolic reprogramming to restore immune repair functions. In conclusion, framing DN within the immune-metabolic network provides a new approach to overcoming the therapeutic impasse and developing truly effective interventions.

Indexed as

Diabetic NeuropathiesMetabolic Networks and PathwaysAnimalsHumansMetabolic ReprogrammingMitochondriaSchwann Cellsdiabetic neuropathyimmune-metabolic networkmetabolic reprogrammingPANoptosomeSchwann cells

Identifiers

PMID42112353
PMCPMC13149120

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Registered trials

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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.