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Nevin Manimala Statistics

The gut-retina axis: association of dietary index for gut microbiota with diabetic retinopathy in diabetic patients-a cross-sectional study from NHANES 2009-2018

Diabetol Metab Syndr. 2025 Aug 27;17(1):359. doi: 10.1186/s13098-025-01929-9.

ABSTRACT

BACKGROUND: The gut-retina axis, an emerging area of research, has uncovered the bidirectional link between the intestines and retina, offering new insights into ophthalmic disease management. Diabetic retinopathy (DR), a common diabetes complication with a digestive-related connection, lacks large-sample retrospective studies on the impact of gut microbiota-related diets. The association between the Dietary Index for Gut Microbiota (DI-GM) and DR requires further investigation.

METHODS: 1,285 diabetic patients from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2009 to 2018 were analyzed. DI-GM, based on 14 foods or nutrients intake, served as the exposure variable. Associations were assessed via Spearman correlation, weighted logistic regression, restricted cubic spline (RCS) analysis, and subgroup analyses.

RESULTS: Spearman analysis revealed predominantly inverse correlations among DI-GM components. After adjusting for confounders, each 1-point increase in DI-GM was associated with a 12% lower DR risk (OR = 0.88, 95% CI 0.78-0.99, P = 0.039). The Q4 DI-GM exhibited a 67% reduced DR risk compared to Q1 (OR = 0.33, 95%CI 0.12-0.88, P = 0.028). RCS analysis identified a nonlinear dose-response relationship (P-nonlinearity < 0.01), with rapid risk reduction at DI-GM < 4 and diminishing returns thereafter. Subgroup analyses indicated that most subgroup associations showed no statistically significant differences (interaction P > 0.05), except for participants with long-standing diabetes, without hypertension and BMI < 25 (OR = 0.55, 95%CI: 0.33-0.93, P = 0.03).

CONCLUSIONS: Higher DI-GM scores are linked to lower DR risk, supporting dietary optimization (e.g., increased whole grains/vegetables, reduced processed meat) as a potential strategy for DR prevention through gut microbiota modulation. These findings advance gut-retina axis theory and provide actionable dietary guidelines for diabetes complications.

PMID:40867002 | DOI:10.1186/s13098-025-01929-9

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Nevin Manimala Statistics

Large-scale CSF proteome profiling identifies biomarkers for accurate diagnosis of frontotemporal dementia

Mol Neurodegener. 2025 Aug 27;20(1):93. doi: 10.1186/s13024-025-00882-5.

NO ABSTRACT

PMID:40866991 | DOI:10.1186/s13024-025-00882-5

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Prevalence and risk of metabolic dysfunction-associated steatotic liver disease in patients with sarcopenic obesity: a systematic review and meta-analysis

Nutr Metab (Lond). 2025 Aug 27;22(1):101. doi: 10.1186/s12986-025-01000-4.

ABSTRACT

BACKGROUND: The coexistence of sarcopenia and obesity has been established as a pivotal factor driving the pathological progression of metabolic dysfunction-associated steatotic liver disease (MASLD). This study systematically evaluates the prevalence and risk of MASLD in patients with sarcopenic obesity (SO).

METHOD: A comprehensive literature search was conducted in PubMed, Cochrane Library, EMBASE, Web of Science and SCOPUS up to March 2025. All studies investigating the association between SO and MASLD were included in this meta-analysis. Two independent reviewers performed screening and data extraction. ORs and 95% CIs were calculated using random effect models. Subgroup analysis was used to identify the sources of heterogeneity. Heterogeneity was assessed using Cochran’s Q test and quantified via the I² statistic. Quality assessment and publication bias (by Funnel plots and Egger’s test) evaluation were also performed.

RESULTS: Thirteen studies involving 35,373 SO patients (from six countries) were included after screening. Odds ratios (ORs) of the included studies were combined by random effect model. The pooled results revealed that 63.4% of SO patients had MASLD. Compared to non-SO individuals, SO was significantly associated with an increased risk of MASLD (OR = 4.45, 95% confidence interval (CI): 2.57-7.72, P < 0.001). Females exhibited a higher MASLD risk than males (OR = 4.22, 95% CI: 2.10-8.50 vs. OR = 7.56, 95% CI: 2.39-23.92). Substantial heterogeneity was observed across pooled results and subgroups. Additionally, SO patients had a 2.34-fold higher risk of MASLD-related fibrosis than non-SO individuals (OR = 2.34, 95% CI: 1.78-3.08, P < 0.001).

CONCLUSION: SO may be closely associated with a high prevalence of MASLD and accelerated fibrosis progression. These findings highlight SO as a potential high-risk population for MASLD, underscoring the need for targeted screening and intervention strategies. However, more high-quality research with unified definitions and different races is needed.

PMID:40866987 | DOI:10.1186/s12986-025-01000-4

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Nevin Manimala Statistics

Incidence and risk factors of intraoperative acquired pressure injury in open heart surgical patients: a meta-analysis of prospective studies

Eur J Med Res. 2025 Aug 27;30(1):814. doi: 10.1186/s40001-025-03097-y.

ABSTRACT

PURPOSE: This meta-analysis aimed to evaluate the incidence and risk factors of intraoperative acquired pressure injuries (IAPIs) in open heart surgical patients, focusing exclusively on prospective studies to address gaps in the existing literature.

METHODS: A systematic search was conducted across PubMed, Embase, and Web of Science up to January 2025. Data on incidence and risk factors were extracted, and statistical analyses were performed using random-effects models. Heterogeneity was assessed using I2 statistics; publication bias was assessed by funnel plot and Egger’s test.

RESULTS: Ten prospective studies involving 1311 patients were included. The pooled incidence of IAPIs was 25% (95% CI 16%-35%), with high heterogeneity (I2 = 94%). Sensitivity analysis confirmed stable results. Significant risk factors included prolonged surgical duration (SMD: 1.76, 95% CI 0.10-3.42, I2 = 98%), advanced age (SMD: 0.30, 95% CI 0.14-0.46, I2 = 0%), female sex (RR: 1.36, 95% CI 1.03-1.80, I2 = 53%), and perioperative corticosteroid use (RR: 3.63, 95% CI 1.64-8.06, I2 = 0%).

CONCLUSION: This study assessed the incidence of IAPIs in open heart surgical patients and identifies key risk factors, including prolonged surgical duration, advanced age, female sex, and perioperative corticosteroid use. However, the results should be interpreted with caution due to the high heterogeneity observed across studies. Future research should focus on larger, multicenter prospective studies to provide more robust evidence.

PMID:40866984 | DOI:10.1186/s40001-025-03097-y

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Clinicopathologic relevance of EpCAM and CD44 in pancreatic cancer: insights from a meta-analysis

Stem Cell Res Ther. 2025 Aug 27;16(1):463. doi: 10.1186/s13287-025-04601-1.

ABSTRACT

Recent evidence suggests that EpCAM and CD44 could serve as diagnosis or prognosis markers in pancreatic cancer (PC). In this meta-analysis, we evaluated their associations with clinicopathologic features. Specifically, we compared immunohistochemical-positive and -negative PC patients for T stage (T3-T4 vs. T1-T2), N stage (N1 vs. N0), M stage (M1 vs. M0), tumor grade (well/moderately vs. poorly differentiated), UICC Stage (III, IV vs. I, II), and overall survival (OS). The diagnostic meta-analysis was performed analysing the pooled sensitivity and specificity and evaluating overall accuracy to indicate the diagnostic efficacy of the markers. The protocol of this systematic review and meta-analysis was registered on the PROSPERO website under the registration number of CRD42024568390. A systematic search of PubMed, Scopus, and ISI Web of Science was conducted on January 30th, 2025. The statistical analysis was performed using the Review Manager 5.4 software and R language (R package Mada and Metafor). The quality of the studies included was assessed using the Newcastle-Ottawa scale and the QUADAS-2 tool. Data from relevant studies were independently screened and extracted using Rayyan, by at least two authors. A total of 19 studies were eligible (9 studies for EpCAM, 9 studies for CD44, and 2 studies for both EpCAM and CD44), comprising a total of 1370 patients. The diagnostic meta-analysis demonstrated moderate accuracy for EpCAM (AUC, 95% CI of 0.802, 0.69-0.96). A statistically significant association was found for CD44 expression and T-status (OR = 2.04, 95%CI = 1.18-3.51), or N-stage (OR = 2.68, 95%CI = 1.86-3.85), or TNM stage (OR = 3.79, 95%CI = 2.14-6.71). CD44v6 overexpression predicted worse OS (HR = 2.33, p < 0.00001), while EpCAM + CD44 + co-expression was prognostic (HR = 2.02, p = 0.02). Heterogeneity was not observed among the studies included, but further research is warranted to better understand the clinical implications of these markers’ positivity in PC diagnosis and prognosis.

PMID:40866982 | DOI:10.1186/s13287-025-04601-1

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CD126hi umbilical cord mesenchymal stem cells sensitive to IL-6 ameliorate inflammatory bowel disease by producing TGF-β1

Orphanet J Rare Dis. 2025 Aug 27;20(1):458. doi: 10.1186/s13023-025-03993-w.

ABSTRACT

BACKGROUND: Human umbilical cord mesenchymal stem cells (HUMSCs) are effective therapies for inflammatory bowel disease. However, the mechanisms remain unresolved. We found HUMSCs express CD126 (IL-6 receptor), which indicated CD126 sub-populations might show a distinct response to inflammation. In the present study, we explored whether CD126 is a critical molecule for HUMSCs in regulating inflammation.

METHODS: We assessed the regulatory effects of CD126 high (CD126hi) on the T lymphocyte subpopulations and related cytokines in the dextran sulfate sodium (DSS)-induced colitis model. The effect of CD126hi was evaluated by Hematoxylin and Eosin (H&E) staining, fluorescence-activated cell sorting (FACS), and enzyme-linked immunosorbent assay (ELISA) analyses. Statistical significance was typically determined using Student’s t-test or one-way analysis of variance (ANOVA) with Tukey test.

RESULTS: The disease symptoms were markedly ameliorated and the interleukin-6 (IL-6), interleukin-17 (IL-17), interferon-γ (IFN-γ), Tumor necrosis factor-α (TNF-α), and interleukin-4 (IL-4) levels were significantly reduced in DSS-treated mice administered with CD126hi HUMSCs but not in DSS-treated mice administered with CD126 low (CD126lo) HUMSCs. Intriguingly, CD126hi HUMSCs significantly increased the levels of transforming growth factor-β (TGF-β1) and interleukin-10 (IL-10) in DSS-treated mice, accompanied by an increase in regulatory T cells (Treg cells). In vitro experiments showed that CD126hi HUMSCs secreted TGF-β1 in response to IL-6 stimulation, while CD126lo HUMSCs were latent in the inflammatory environment. We considered that TGF-β1 secreted by CD126hi HUMSCs regulated the balance of Treg cells and thus promoted the recovery of murine colitis.

CONCLUSION: Our results revealed a mechanism wherein CD126hi HUMSCs function as inflammatory sensors and secrete anti-inflammatory cytokines to rebalance the population of T cells. This study shed light on the potential therapeutic application of CD126hi HUMSCs for inflammatory diseases such as inflammatory bowel disease.

PMID:40866981 | DOI:10.1186/s13023-025-03993-w

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Nevin Manimala Statistics

Genetic evidence for causal links between type 1 diabetes and autoimmune liver diseases

Diabetol Metab Syndr. 2025 Aug 27;17(1):360. doi: 10.1186/s13098-025-01928-w.

ABSTRACT

BACKGROUND: Type 1 diabetes (T1D) and autoimmune liver diseases (AILDs), including autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC), are characterized by immune-mediated damage. Prior observational studies have reported associations between these conditions, but definitive causal relationships remain elusive. This study leverages genetic data to clarify the nature of these associations.

METHODS: We conducted a bidirectional Mendelian randomization (MR) analysis using summary-level data from large-scale genome-wide association studies. The inverse variance weighted was the primary method, supplemented by diverse sensitivity analyses (MR-Egger, weighted median, weighted mode, cML-MA, BWMR, MR-PRESSO, and CAUSE) to rigorously assess causality and address potential pleiotropy. We assessed genetic correlation using linkage disequilibrium score regression and performed colocalization to evaluate shared causal variants.

RESULTS: Our findings revealed a causal effect of genetically predicted T1D on an increased risk of AIH (OR = 1.32, 95% CI: 1.16-1.50, P = 2.72 × 10⁻⁵), robustly supported by sensitivity analyses and replicated in an independent cohort. Evidence for a potential bidirectional causal relationship emerged between T1D and PBC, where genetically predicted T1D increased PBC risk (OR = 1.10; 95% CI: 1.02-1.20; P = 0.014), and genetically predicted PBC also increased T1D risk (OR = 1.13; 95% CI: 1.09-1.17; P = 3.45 × 10⁻¹¹), albeit with potential pleiotropy. No evidence for a genetic causal relationship was observed between T1D and PSC (IVW, P = 0.695). Significant genetic correlations were present between T1D and all AILDs, but colocalization did not support shared causal variants.

CONCLUSIONS: This study provides genetic evidence for a causal effect of T1D on AIH and a likely bidirectional relationship between T1D and PBC. These findings refine our understanding of their comorbidity, suggesting the need for heightened clinical surveillance and warranting further mechanistic investigation to elucidate the biological pathways.

PMID:40866980 | DOI:10.1186/s13098-025-01928-w

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The “SleepWell” intervention for patients with insomnia and persistent pain: a study protocol for a randomised waiting-list controlled trial of a cognitive behavioural group therapy programme

Trials. 2025 Aug 27;26(1):314. doi: 10.1186/s13063-025-09041-z.

ABSTRACT

BACKGROUND: Patients with persistent pain and comorbid insomnia often experience a dual burden with significant day- and nighttime impairments. This comorbidity is associated with health problems like depression and a self-perpetuating vicious circle in which pain and insomnia symptoms mutually reinforce each other. Cognitive behavioural therapy for insomnia (CBT-i) has demonstrated efficacy in facilitating the behavioural and psychological changes necessary to improve sleep. However, its applicability to patients with the insomnia-pain comorbidity condition is underexplored. We will expand the knowledge base of CBT-i to this patient group by examining the effects on core insomnia symptoms, including sleep onset, the frequency and duration of nightly and early morning awakenings, sleep efficiency and daytime impairments at post-test and follow-up. Secondary outcomes include reductions in pain intensity and interference, depression and fatigue; improved pain acceptance and quality of life; and more adaptive sleep-related beliefs. This study also explores mediators of the expected effects, patient experiences of the feasibility and acceptability of the intervention and how these experiences relate to individual differences in treatment benefits.

METHODS: The study includes hospital patients with a chronic pain condition according to the criteria from the International Association for the Study of Pain and a DSM-5 diagnosis of insomnia. The study will recruit 106 patients based on a power analysis that accounts for 20% dropout, and block-randomise them to a group-based CBT-i intervention or treatment as usual (TAU). The latter consists of consultations and potential pain- and sleep medication. The participant timeline includes a baseline registration, seven sessions of the CBT-i within a 10-week period, a post-test and two follow-up measurements at 4 and 12 months, respectively. The statistical analyses will be intention-to-treat and include random factors to adjust for data dependencies. Patients’ experiences of feasibility and acceptability will be analysed using a reflexive thematic approach.

DISCUSSION: This study addresses a knowledge gap by evaluating the effectiveness of CBT-i adapted for patients with insomnia and non-malignant, persistent pain. Given positive findings, the study may support clinical recommendations by providing empirical evidence for implementing psychological sleep interventions for somatic hospital patients having comorbid sleep issues.

TRIAL REGISTRATION: Clinical Trials.gov ID NCT06351839. Registered 08 April 2024.

PMID:40866978 | DOI:10.1186/s13063-025-09041-z

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Nevin Manimala Statistics

Optimizing pharmacologic treatment for neonatal opioid withdrawal syndrome (OPTimize NOW): a symptom-based dosing approach study protocol for a multi-center, cluster crossover design randomized controlled trial

Trials. 2025 Aug 27;26(1):317. doi: 10.1186/s13063-025-09035-x.

ABSTRACT

BACKGROUND: Opioid use and misuse during pregnancy rose from 1.5 to 6.5 per 1000 deliveries between 1999 and 2014 and continues as a significant public health concern. A fivefold increase in neonatal opioid withdrawal syndrome (NOWS) has accompanied the increase in opioid use. The Eating, Sleeping, Consoling care approach (ESC) has been shown to improve outcomes for infants with NOWS and is quickly becoming the standard of care for infants affected by opioid use disorder. Quality improvement initiatives following the implementation of ESC provide some evidence to suggest that symptom-based (i.e., as needed, PRN, just in time) dosing of opioid medications for infants with significant withdrawal may be an effective alternative to using a traditional scheduled opioid taper approach. These initiatives have shown reduced length of hospital stay and decreased postnatal opioid exposure when compared to scheduled opioid dosing for infants with NOWS who receive pharmacologic treatment. It is unknown if the findings from these quality improvement initiatives are generalizable, and little is known about the safety of this approach in a diverse population. The purpose of this manuscript is to describe the design and rationale for an ongoing study to evaluate the effect of symptom-based opioid dosing compared to traditional scheduled opioid taper on short-term outcomes for infants with NOWS.

METHODS/DESIGN: In this ongoing multi-center two-period cluster crossover randomized controlled trial, 24 sites within the USA were randomized at the site level into one of two sequences. Prior to randomization, sites were stratified by care approach used (ESC vs. usual care) and these strata were independently randomized. All study sites will provide care based on their random allocation. Data will be collected under waiver of consent for in-hospital and short-term outcomes for eligible infants. A minimum of 480 infants will be enrolled. We hypothesize that use of symptom-based dosing will safely reduce the length of time until infants with NOWS and at risk for pharmacological treatment are medically ready for discharge when compared to infants treated with a scheduled opioid taper.

DISCUSSION: This trial is uniquely and efficiently designed to establish the efficacy, safety, and generalizability of the symptom-based dosing approach to opioid treatment for NOWS.

TRIAL REGISTRATION: NCT05980260 ; registered July 27, 2023.

PMID:40866977 | DOI:10.1186/s13063-025-09035-x

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Optimizing ambulance location based on road accident data in Rwanda using machine learning algorithms

Int J Health Geogr. 2025 Aug 27;24(1):23. doi: 10.1186/s12942-025-00400-2.

ABSTRACT

BACKGROUND: The optimal placement of ambulances is critical for ensuring timely emergency medical responses, especially in regions with high accident frequencies. In Rwanda, where road accidents are a leading cause of injury and death, the strategic positioning of ambulances can significantly reduce response times and improve survival rates. The national records of Rwanda reveal a rising trend in the number of road accidents and deaths. In 2020, there were 4203 road traffic crashes throughout Rwanda with 687 deaths, data from 2021 demonstrated 8639 road traffic crashes with 655 deaths. Then in 2022 national statistics indicated 10,334 crushes with 729 deaths. The study used emergency response and road accident data collected by Rwanda Biomedical Centre in two fiscal years 2021-2022 and 2022-2023 consolidated with the administrative boundary of Rwandan sectors (shapefiles).

METHODS: The main objective was to optimize ambulance locations based on road accident data using machine learning algorithms. The methodology of this study used the random forest model to predict emergency response time and k-means clustering combined with linear programming to identify optimal hotspots for ambulance locations in Rwanda.

RESULTS: Random forest yields an accuracy of 94.3%, and positively classified emergency response time as 926 fast and 908 slow. K-means clustering combined with an optimization technique has grouped accident locations into two clusters and identified 58 optimal hotspots (stations) for ambulance locations in different regions of Rwanda with an average distance of 1092.773 m of ambulance station to the nearest accident location.

CONCLUSION: Machine learning may identify hidden information that standard statistical approaches cannot, the developed model for random forest and k-means clustering combined with linear programming reveals a strong performance for optimizing ambulance location using road accident data.

PMID:40866972 | DOI:10.1186/s12942-025-00400-2