Evidence map›Paper›PMID 41731552›Full record

ReviewMolecular nutrition & food research2026

Mechanistic Role of Disulfidptosis in Type 2 Diabetes Mellitus.

Danqi Zou, Yanping Zou, Yujie Jin, Shilin Liu, Minghao Lin, Ruixue Deng, Zheng Nan

Abstract readReview
In one paragraph

Review in Molecular nutrition & food research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Danqi ZouChangchun University of Chinese Medicine, Changchun, China.
Yanping ZouThe Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Yujie JinCentral Hospital of Meihekou City, Meihekou, China.
Shilin LiuChangchun University of Chinese Medicine, Changchun, China.
Minghao LinChangchun University of Chinese Medicine, Changchun, China.
Ruixue DengChangchun University of Chinese Medicine, Changchun, China.
Zheng NanThe Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disulfidptosis is a newly identified form of regulated cell death. It occurs under glucose-starvation conditions and is characterized by metabolic dysregulation in cells with high expression of SLC7A11. Increased cystine uptake under these conditions leads to depletion of NADPH, ultimately triggering cell death. Current research on disulfidptosis has mainly focused on malignant tumors. However, the critical factors involved in disulfidptosis, including high SLC7A11 expression and NADPH depletion, may have potential relevance to type 2 diabetes mellitus (T2DM). Both insulin secretion and insulin resistance are regulated by NADPH levels, and SLC7A11 also plays a key role in glucose metabolism through maintaining redox homeostasis. Although the direct connection between disulfidptosis and T2DM remains to be experimentally verified, this review integrates existing studies to systematically examine their theoretical relationship from both mechanistic and therapeutic perspectives. It focuses on the roles of SLC7A11, NADPH, and other related factors in T2DM and its complications, aiming to provide a theoretical basis for developing new treatment strategies for diabetes.

Indexed as

Diabetes Mellitus, Type 2DisulfidptosisAmino Acid Transport System y+AnimalsHumansInsulin ResistanceNADPAmino Acid Transport System y+NADPSLC7A11 protein, humandisulfide bonddisulfidptosisNADPHSLC7A11type 2 diabetes

Identifiers

PMID41731552
PMCPMC12929700

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.