Evidence map›Paper›PMID 42300298›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2026

Dietary Index for Gut Microbiota and All-Cause Mortality in CKM Syndrome: Evidence of a JShaped Association and Partial Mediation by DII and CDAI.

Xiaoqi Ma, Jingwen Zhang, Jinjin Huang, Ting Liu, Jingai Fang, Xiaodong Zhang

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Article in Endocrine, metabolic & immune disorders drug targets, 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.

Xiaoqi MaDepartment of Nephrology, First School of Clinical Medicine, Shanxi Medical University, Taiyuan, China.ORCID 0009-0007-2323-5493
Jingwen ZhangDepartment of Nephrology, First School of Clinical Medicine, Shanxi Medical University, Taiyuan, China.ORCID 0009-0007-4523-7705
Jinjin HuangDepartment of Nephrology, First School of Clinical Medicine, Shanxi Medical University, Taiyuan, China.ORCID 0009-0000-1188-3222
Ting LiuDepartment of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, China.ORCID 0000-0001-6276-4063
Jingai FangDepartment of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, China.ORCID 0000-0002-2659-6477
Xiaodong ZhangDepartment of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, China.ORCID 0000-0003-3210-1407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular-kidney-metabolic (CKM) syndrome is a multisystem condition involving metabolic abnormalities and organ injury. While diet may influence health outcomes by modulating the gut microbiota, its association with mortality risk in patients with CKM syndrome remains unclear. This study aimed to examine the association between the Dietary Index for Gut Microbiota (DI-GM) and risks of all-cause and cardiovascular disease (CVD) mortality among individuals with CKM syndrome.

methodsThis cohort study included 7,291 adults aged ≥ 20 years with CKM syndrome from NHANES 2009-2018. The DI-GM score (range 0-14; higher scores indicating a more favorable diet for beneficial microbiota) was derived from 14 dietary components and categorized into quartiles. Mortality outcomes were ascertained via linkage to the National Death Index. Multivariable Cox models were used to estimate Hazard Ratios (HRs), and restricted cubic splines examined dose-response relationships. Subgroup and mediation analyses were also conducted.

resultsDuring follow-up, 546 all-cause and 166 CVD deaths were recorded. After adjustment, DI-GM showed a nonlinear association with all-cause mortality. Compared with the lowest quartile (Q1), the third quartile (Q3) had a significantly lower risk, whereas the highest quartile (Q4) showed no significant association. No significant link was observed between DI-GM and CVD mortality. Subgroup analyses indicated stronger protective effects in those with higher education, alcohol consumption, and without chronic kidney disease. Mediation analysis suggested that antioxidant and anti-inflammatory pathways partially explained the association. DISCUSSION: DI-GM shows a J-shaped association with all-cause mortality in CKM syndrome, partially mediated by DII and CDAI, suggesting gut-inflammation pathways.

conclusionAmong patients with CKM syndrome, a moderate DI-GM score is associated with lower all-cause mortality risk, potentially mediated through anti-inflammatory and antioxidant mechanisms. DI-GM may help identify high-risk populations and inform dietary interventions.

Indexed as

Cardio-Renal SyndromeCardiovascular DiseasesDietGastrointestinal MicrobiomeMetabolic SyndromeAdultAgedCause of DeathCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedNutrition SurveysRisk Factorsall-cause mortalitycardiovascular mortalityCKM syndromecomposite dietary antioxidant indexdietary index for gut microbiotadietary inflammatory indexnational health and nutrition examination survey

Identifiers

PMID42300298
PMCPMC13635967

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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.