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Miao Huang

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Review Jul 2026

Association of Accelerometer-Derived Rest-Activity Rhythms and Sleep Health With Overactive Bladder: Depression as a Potential Explanatory Factor in a Nationally Representative Study.

PURPOSE We examined whether accelerometer-derived rest-activity rhythms (RAR) and multidimensional sleep metrics are associated with overactive bladder (OAB) and whether depression may partially account for this relationship. MATERIALS AND METHODS This cross-sectional study included 6,603 adults from the National Health and Nutrition Examination Survey (2011-2014). OAB was defined by an Overactive Bladder Symptom Score ≥ 3. Nonparametric RAR metrics-interdaily stability (IS), intradaily variability (IV), and relative amplitude (RA)-and sleep parameters were extracted from 7-day wrist-worn accelerometry. Depression was evaluated with the Patient Health Questionnaire-9. Survey-weighted logistic regression examined associations between RAR and sleep exposures and OAB. Mediation analysis quantified the potential indirect pathway through depression severity. RESULTS Weighted OAB prevalence was 21.4%. After full adjustment, each 0.1-unit increase in RA was associated with 17% lower odds of OAB (OR 0.83, 95% CI 0.79-0.88), while each 0.1-unit increase in IV was associated with 5% higher odds (OR 1.05, 95% CI 1.02-1.08). Higher sleep efficiency (OR 0.81 per 10% increase, 95% CI 0.73-0.90) and longer sleep duration (OR 0.95 per hour, 95% CI 0.91-0.99) were also inversely associated with OAB. IS, social jetlag and catch-up sleep showed no independent associations. Depression partially accounted for the RA-OAB relationship. CONCLUSIONS Weaker rest-activity rhythms and poorer sleep health are cross-sectionally associated with higher OAB prevalence, and depression may partially explain this relationship. These observational findings require prospective validation.

Renjie Huang, Miao Huang, Rui Zhang · 0 citations
Review Jul 2026

CAR-based cellular therapies for autoimmune diseases: immune reset, clinical evidence, and translational boundaries.

CAR-based cellular therapy is emerging as a time-limited strategy for severe autoimmune disease, but its clinical value depends on more than early response. We conducted a structured narrative review with a targeted update of PubMed/MEDLINE and ClinicalTrials.gov through July 11, 2026, with study-level extraction and explicit handling of overlapping cohorts. Autologous CD19 CAR-T has the most mature evidence, particularly in systemic lupus erythematosus and other systemic rheumatic diseases, while one randomized phase 2b trial has evaluated transient mRNA BCMA-directed CAR-T in myasthenia gravis. Early studies also support disease-specific development in systemic sclerosis, idiopathic inflammatory myopathy, rheumatoid arthritis, autoimmune cytopenias, and selected neurologic disorders. However, cohorts remain small and heterogeneous, and severe cytokine release syndrome, neurotoxicity, hematotoxicity, infection, viral reactivation, hypogammaglobulinemia, and prolonged organ dysfunction have been reported. Immune reset should therefore be treated as a testable multidomain state: durable disease control after the acute treatment phase, withdrawal of conventional immunosuppression, evolution or recovery of the targeted immune compartment without immediate pathogenic recurrence, and preservation of clinically acceptable immune competence. It is not synonymous with cure, continued aplasia, complete autoantibody eradication, or reversal of fixed organ damage. Future development requires disease-specific comparative trials, biomarker-guided platform selection, standardized clinical and immune-reconstitution endpoints, transparent reporting of manufacturing attrition and cohort overlap, experienced multidisciplinary delivery, and long-term registries capturing infection, fertility, neurologic outcomes, secondary malignancy, relapse, retreatment, and patient-centered value. Until these data mature, autoimmune CAR therapy should remain investigational and restricted to highly selected patients in prospective programs.

Miao Huang, Renjie Huang, Dongyan Wang · 0 citations