Constipation is a key and independent predictor of mortality in patients with CKD, mediated through a gut-lipid-kidney axis whereby constipation reduces Herbidospora, depleting protective phosphatidylcholine (14:0_18:2) that mediates 12.5% of the protective pathway from Herbidospora to CKD.
Key Findings
Results
Functional constipation is an independent predictor of all-cause mortality in patients with CKD.
Hazard ratio for all-cause mortality: HR 1.33 (95% CI: 1.11–1.58)
Analysis used weighted Cox proportional hazards models in a large U.S. database with mortality data up to 31 December 2019
The association remained robust across sensitivity analyses
Constipation also predicted cardiovascular mortality independently
Results
The relationship between stool frequency and mortality in CKD patients follows a distinct U-shaped dose-response curve.
This dose-response relationship was identified in the observational cohort analysis
Both very low and very high stool frequencies were associated with increased mortality risk
The pattern was identified using weighted Cox proportional hazards models in the large U.S. database
Results
Mendelian randomization identified a significant causal depletion of the gut bacterial genus Herbidospora driven by constipation.
Causal inference was conducted using genetic data from the independent FINRISK cohort
The direct causal effect of constipation on CKD itself was not statistically significant
Constipation was found to causally reduce levels of the genus Herbidospora
Herbidospora was identified as exerting a protective effect against CKD
Results
Phosphatidylcholine (14:0_18:2) [PC 14:0_18:2] mediates 12.5% of the protective pathway from Herbidospora to CKD.
Mediation analysis was used to quantify the contribution of PC (14:0_18:2) to the Herbidospora–CKD protective pathway
PC (14:0_18:2) was identified as a key metabolic intermediary in the gut-lipid-kidney axis
The mediation proportion was 12.5% of the total protective effect of Herbidospora on CKD
This finding was derived from multi-omics triangulation combining microbiome and metabolomics data
Methods
A multi-cohort, multi-omics triangulation design was employed to investigate the constipation–CKD–mortality relationship.
The study used a large U.S. database for the observational mortality analysis and the FINRISK cohort for Mendelian randomization causal inference
Genetic data from FINRISK were used to investigate causal relationships between gut microbiota, their metabolites, and CKD
The design combined observational epidemiology, Mendelian randomization, and mediation analysis
The approach was intended to provide evidence triangulation across independent cohorts and methodologies
Conclusions
The authors propose restoring the gut-lipid-kidney microbial metabolic axis as a novel therapeutic strategy for CKD.
Proposed strategies include therapies aimed at restoring gut health and supplementing PC (14:0_18:2)
The therapeutic rationale is based on the identified Herbidospora–PC(14:0_18:2)–kidney protective pathway
The authors suggest this axis could slow disease progression and improve survival in CKD patients
This recommendation is framed as a 'groundbreaking new strategy' based on the multi-omics findings
Liu Y, Zhao J, Yuan J, Yu Z, Liu J, Ning X, et al.. (2026). New hypothesis: a gut-lipid-kidney axis in constipated CKD patients-insights from multi-omics triangulation.. mSphere. https://doi.org/10.1128/msphere.00914-25