Evidence map›Paper›PMID 42432727›Full record

ArticleNutrition & metabolism2026

Dietary patterns and exploratory gut microbiota profiles associated with diabetic retinopathy and cognitive impairment in type 2 diabetes.

Yuan Sheng, Haiyan Chi, Changling Li, Baogeng Huai, Xuejiao Song, Deshan Liu

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Article in Nutrition & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Yuan ShengSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.
Haiyan ChiDepartment of Endocrinology, Weihai Municipal Hospital, Weihai, China.
Changling LiSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.
Baogeng HuaiDepartment of Traditional Chinese Medicine, Qilu Hospital of Shandong University, 107 Wenhua West Road, Lixia District, Jinan, 250012, Shandong Province, China.
Xuejiao SongDepartment of Ophthalmology, Qilu Hospital of Shandong University, Jinan, China.
Deshan LiuSchool of Nursing and Rehabilitation, Shandong University, Jinan, China. 199262000549@email.sdu.edu.cn.

Funding

National Administration of Traditional Chinese Medicine Grant No. GZY-KJS-SD-2024-059Shandong Association for Science and Technology Grant Nos. 26010132009055 and 26010132009054
6 · The paper itself

Abstract

backgroundDiabetic retinopathy (DR) and cognitive impairment are closely related complications of type 2 diabetes mellitus (T2DM). Although dietary patterns and gut microbiota have each been linked to these conditions, their combined associations with co-occurring DR and cognitive impairment remain unclear. This study examined dietary patterns and exploratory gut microbiota profiles in relation to co-occurring DR and cognitive impairment in patients with T2DM.

methodsIn this cross-sectional study, 306 patients with T2DM were classified into four groups: no DR with normal cognition (DMCN), no DR with cognitive impairment (DMCI), DR with normal cognition (DRCN), and DR with cognitive impairment (DRCI). Dietary patterns were derived using principal component analysis. Gut microbiota composition was assessed using 16 S rRNA sequencing in a subset of 108 participants. Multinomial logistic regression was used to examine associations between dietary patterns and group classification, and microbiome analyses included diversity, taxonomic composition, exploratory differential abundance, and diet-microbiota correlations.

resultsFour dietary patterns were identified. In fully adjusted models, DP-I and DP-II were associated with higher odds of DMCI and DRCI, respectively, whereas DP-III was associated with lower odds of both DMCI and DRCN. DP-IV showed no significant association. Gut microbiota analyses showed modest but statistically significant group-related differences in community structure, with partial overlap across groups. Exploratory LEfSe analysis identified group-associated taxa, including higher relative abundances of Bifidobacterium, Streptococcus, and Dubosiella in DMCN and of Pseudomonas, Bilophila, and Sarcina in DRCI. However, these genus-level differences were not significant after covariate-adjusted MaAsLin2 analysis with false discovery rate (FDR) correction. Nominal diet-microbiota correlations were observed but were not statistically robust after FDR correction.

conclusionDietary patterns were associated with clinical group classification based on DR and cognitive impairment in patients with T2DM. Gut microbiota analyses suggested modest, exploratory group-related differences, but diet-microbiota correlations were not statistically robust after FDR correction. These cross-sectional findings should be interpreted as hypothesis-generating and require validation in larger longitudinal studies.

Indexed as

Cognitive impairmentDiabetic retinopathyDietary patternsGut microbiotaType 2 diabetes mellitus

Identifiers

PMID42432727
PMCPMC13647705

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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.