Nevin Manimala

J Public Health (Oxf). 2026 Feb 15:fdag012. doi: 10.1093/pubmed/fdag012. Online ahead of print.

ABSTRACT

BACKGROUND: Public health has long relied on quantitative indicators to document suffering and guide action. In contexts of mass violence, however, statistical approaches alone may be insufficient to capture the full scope of population-level harm.

METHODS: This reflective essay engages Zahir Raihan’s 1971 short documentary film ‘Stop Genocide’, produced during the Bangladesh Liberation War, as a case study in visual testimony. The film is examined as a form of public health witnessing that documents harm through proximity, narrative, and moral insistence rather than epidemiologic measurement.

RESULTS: ‘Stop Genocide’ depicts civilian targeting, forced displacement, and collective trauma in ways that anticipate contemporary public health concepts, including structural violence and health system collapse. The film foregrounds patterns of harm that are recognizable at the population level, even in the absence of formal surveillance data.

DISCUSSION: Revisiting ‘Stop Genocide’ raises critical questions about what forms of evidence public health recognizes as legitimate, particularly when data systems are disrupted or politically constrained. Situating epidemiologic data within a broader epistemic framework that includes art, testimony, and witnessing may strengthen ethical public health practice in times of mass violence.

PMID:41691478 | DOI:10.1093/pubmed/fdag012

Adv Sci (Weinh). 2026 Feb 15:e14446. doi: 10.1002/advs.202514446. Online ahead of print.

ABSTRACT

MicroRNAs (miRNAs) are pivotal post‑transcriptional regulators whose single‑cell behavior has remained largely inaccessible due to technical barriers in single-cell small‑RNA profiling. We present SiCmiR, a two‑layer neural network that predicts miRNA expression profiles from only 977 LINCS L1000 landmark genes, thereby reducing sensitivity to dropout in single-cell RNA-seq (scRNA-seq) data. Proof‑of‑concept analyses illustrate how SiCmiR can uncover candidate hub‑miRNAs in bulk-seq cell lines and hepatocellular carcinoma, scRNA-seq pancreatic ductal carcinoma, and ACTH‑secreting pituitary adenoma and extracellular vesicle (EV)‑mediated crosstalk in glioblastoma. Trained on 6,462 TCGA paired miRNA-mRNA samples, SiCmiR attains state‑of‑the‑art accuracy on cancers and generalizes to unseen cancer types and drug perturbations. We next construct SiCmiR‑Atlas, containing 362 public datasets, 9.36 million cells, and 726 cell types, which is the first dedicated database of single‑cell mature miRNA expression, providing interactive visualization, biomarker identification, and cell‑type‑resolved miRNA-target networks. SiCmiR transforms bulk‑derived statistical power into a single‑cell view of miRNA biology and provides a community resource for biomarker discovery. SiCmiR Atlas is available at https://awi.cuhk.edu.cn/∼SiCmiR/.

PMID:41691474 | DOI:10.1002/advs.202514446

Integr Environ Assess Manag. 2026 Feb 14:vjag026. doi: 10.1093/inteam/vjag026. Online ahead of print.

ABSTRACT

Remediation of contaminated sediment sites is complex and expensive, critical to the restoration of damaged ecosystems, and essential to the reduction of threats to human health. Along with the challenges of remediating a contaminated site is determining if the remediation has been effective. In this investigation, the use of bioavailability-based metrics was evaluated as a tool for assessing remedial effectiveness. Metrics included surface water concentrations and bioaccumulation in proxy species. Following the identification, collection, and curation of relevant retrospective bioavailability metric datasets, statistical analyses were performed comparing pre-remediation and post-remediation time periods. Statistical analyses used (i) hypothesis testing to identify significant reductions in bioavailability and (ii) regression to assess significant negative slopes. Datasets from three Superfund sites were evaluated in this investigation: Lower Grasse River, New Bedford Harbor, and Stauffer Chemical Company. Both the Lower Grasse River and New Bedford Harbor demonstrated decreases in the bioavailability of total PCBs as the remediations proceeded. Remedial effectiveness was more apparent for the Lower Grasse River compared to New Bedford Harbor most likely because remediation at the former had been completed for several years while it was still on-going at the latter. In contrast, effectiveness of remediation at Stauffer Chemical Company was less obvious based on statistical analyses of the bioavailability metrics. We speculate this reflects the more complicated environmental behavior of mercury compared to PCBs. This preliminary use of retrospective datasets of bioavailability metrics from Superfund sites to assess remediation effectiveness has shown promising results and merits further evaluation at other sites. In addition, contaminants like PCBs appear to be good candidates with this approach while mercury may not be. Also, datasets with good temporal separation of the pre-remediation and the post-remediation time periods are better candidates for this approach.

PMID:41691458 | DOI:10.1093/inteam/vjag026

Am J Ind Med. 2026 Feb 15. doi: 10.1002/ajim.70062. Online ahead of print.

ABSTRACT

BACKGROUND: Occupational exposure to welding fumes has been suggested as a potential risk factor for bladder cancer, but evidence remains inconclusive. This review aimed to systematically evaluate the association between welding fume exposure and risk of bladder cancer through a meta-analysis of observational studies.

METHODS: A comprehensive literature search was conducted in PubMed, Embase, and the Cochrane Library. Eligible studies were identified based on predefined criteria. The pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using a random-effects model. Subgroup analyses were performed based on study design, publication year, geographic region, sex, and exposure assessment methods.

RESULTS: A total of 34 epidemiological studies were included. The pooled analysis revealed a 20% increased risk of bladder cancer among welders (OR = 1.20, 95% CI: 1.11-1.30). This association remained statistically significant in analyses restricted to studies that adjusted for both age and smoking. Subgroup analyses indicated variation by publication period, geographic region, and exposure assessment method. Sensitivity analyses restricted to high-quality studies confirmed the robustness of the findings.

CONCLUSIONS: Welding fume exposure is associated with an elevated risk of bladder cancer. These findings suggest the need for improved occupational safety measures, exposure monitoring, and further research to clarify underlying biological mechanisms and dose-response relationships.

PMID:41691436 | DOI:10.1002/ajim.70062

Med Sci Monit. 2026 Feb 15;32:e951651. doi: 10.12659/MSM.951651.

ABSTRACT

BACKGROUND Low back pain (LBP) is a leading cause of disability worldwide, yet the relationship between muscle morphology, strength imbalances, and chronic LBP remains incompletely understood. This study investigated cross-sectional area (CSA) and strength differences in trunk and hip muscles between chronic LBP patients and healthy controls. MATERIAL AND METHODS Fifty patients with chronic LBP (age 53±13.5) and 30 (age 42.3±8.3) healthy controls underwent lumbosacral magnetic resonance imaging to measure CSA of paravertebral (psoas major, quadratus lumborum, erector spinae, multifidus), abdominal (rectus abdominis), and hip muscles (iliacus, gluteus maximus). Isokinetic dynamometry assessed trunk and hip flexor/extensor strength. Statistical analyses included t tests confirmed with Cohen’s d and Pearson correlations. RESULTS Patients with LBP showed smaller psoas major CSA at L2/L5 and rectus abdominis CSA at S2/S3 than controls (all P<0.05), with no differences in quadratus lumborum, erector spinae, multifidus, iliacus, or gluteus maximus. Trunk flexor and extensor strength was lower in LBP patients, with a reduced trunk flexor/trunk extensor ratio (0.77±0.20 vs 0.96±0.16, P<0.001); hip flexor/extensor ratios showed a trend toward imbalance (left hip flexor/hip extensor: 0.60±0.15 vs 0.67±0.12, P=0.047). CSA-strength correlations were stronger in patients with LBP, particularly for the psoas major (r=0.42-0.58, P<0.05). CONCLUSIONS Chronic LBP is associated with selective atrophy of the psoas major and rectus abdominis, alongside significant strength deficits in trunk and hip flexors. CSA-strength correlations in LBP patients suggest morphological changes exacerbate functional imbalances, contributing to LBP pathophysiology. These findings highlight the importance of targeted rehabilitation addressing trunk and hip musculature to restore strength symmetry and mitigate disability.

PMID:41691365 | DOI:10.12659/MSM.951651

Infect Dis Poverty. 2026 Feb 15;15(1):24. doi: 10.1186/s40249-026-01423-y.

ABSTRACT

BACKGROUND: Treating drug-resistant tuberculosis (DR-TB) is clinically complex and economically burdensome compared to drug-susceptible tuberculosis (DS-TB). China’s diagnosis-intervention packet payment system initially omitted risk adjustment for drug resistance. In 2022, a diagnosis-intervention packet (DIP)-pilot city implemented such adjustment, establishing distinct reimbursement standards for DR-TB and DS-TB. This study aimed to assess the impact of this DR-type risk adjustment on medical expenditures, treatment efficiency, and care quality for TB patients.

METHODS: A quasi-experimental difference-in-differences design was employed, involving 8465 TB patients from June 2021 to December 2023. Linear regression was performed with time and treat fixed effects and the interaction term between time and treat. Subgroup analyses for DR-TB and DS-TB patients were conducted.

RESULTS: Under the DIP system, risk adjustment led to marginally significant reductions in inpatient expenditure per hospitalization [β = – 151.14, P = 0.065; 95% confidence interval (CI) for difference in proportions: – 311.66, 9.38] and in annual total inpatient expenditure per patient (β = – 200.58, P = 0.078, 95% CI – 423.26, 22.10) for all TB patients. It also resulted in significant reductions in inpatient out-of-pocket per hospitalization (β = – 257.51, P < 0.001, 95% CI – 316.20, – 198.81), annual total inpatient out-of-pocket per patient (β = – 266.78, P < 0.001, 95% CI – 342.02, – 191.53), inpatient length of stay per hospitalization (β = – 3.58, P < 0.001, 95% CI – 4.53, – 2.62), and annual total length of stay per patient (β = – 3.21, P < 0.001, 95% CI – 4.50, – 1.92). For DR-TB patients, all outcome measures in expenditures, efficiency, or care quality showed P > 0.1, indicating no significant changes. For DS-TB patients, measures of expenditures and efficiency showed P < 0.1, supporting significant or marginally significant reductions.

CONCLUSIONS: The DR-type risk adjustment policy under China’s diagnosis-intervention packet system proved effective in optimizing resource use and enhancing efficiency, particularly for DS-TB patients, while preserving care quality for DR-TB patients. These findings demonstrate the value of tailored risk adjustment within payment frameworks for heterogeneous diseases like tuberculosis, providing crucial evidence for optimizing TB care and implementing effective payment reforms in China and similar settings.

PMID:41691353 | DOI:10.1186/s40249-026-01423-y

Genome Biol. 2026 Feb 14. doi: 10.1186/s13059-026-04003-3. Online ahead of print.

ABSTRACT

BACKGROUND: Epigenetic modifications play a vital role in the pathogenesis of human diseases, particularly neurodegenerative disorders such as Alzheimer’s disease, where dysregulated histone modifications are strongly implicated in disease mechanisms. While recent advances underscore the importance of accurately identifying these modifications to elucidate their contribution to Alzheimer’s disease pathology, existing computational methods remain limited by their generic approaches that overlook disease-specific epigenetic signatures.

RESULTS: To bridge this gap, we develop a novel large language model-based deep learning framework tailored for disease-contextual prediction of histone modifications and variant effects. Focusing on Alzheimer’s disease as a case study, we integrate epigenomic data from multiple patient samples to construct a comprehensive, disease-specific histone modification dataset, enabling our model to learn Alzheimer’s disease -associated molecular signatures. A key innovation of our approach is the incorporation of a Mixture of Experts architecture, which effectively distinguishes between disease and healthy epigenetic states, allowing for precise identification of Alzheimer’s disease -relevant epigenetic modification patterns. Our model demonstrates robust performance in disease-specific histone modification prediction, significantly outperforming existing state-of-the-art methods that lack disease context. Beyond accurate modification site prediction, our framework provides important biological insights by successfully prioritizing Alzheimer’s disease-associated genetic variants, which show significant enrichment in disease-relevant pathways.

CONCLUSIONS: Our framework establishes a powerful new paradigm for epigenetic research that can be extended to other complex diseases, offering both a valuable tool for variant effect interpretation and a promising strategy for uncovering novel disease mechanisms through epigenetic profiling.

PMID:41691336 | DOI:10.1186/s13059-026-04003-3

Eur J Med Res. 2026 Feb 14. doi: 10.1186/s40001-026-04053-0. Online ahead of print.

ABSTRACT

INTRODUCTION: Idiopathic Granulomatous Mastitis (IGM) is a chronic inflammatory disease that affects women of childbearing age and is prone to recurrence. The M-score can be used to measure the severity of symptoms and assess the response to treatment in IGM patients. The aim of this study is to investigate the effect of the initial M-score on the recurrence of the disease in IGM patients.

MATERIAL AND METHODS: A total of 90 patients who were clinically and histopathologically diagnosed with IGM were included in the present study. The patient data were analyzed retrospectively. The M-score, which provides more objective data, was used to evaluate the severity of symptoms. Disease recurrence rates were compared with the initial M-score.

RESULTS: The recurrence rate in patients with abscesses was higher (93.18%) than in patients without abscesses (60.87%) (p < 0.001). No statistically significant differences were found when analysing the recurrence rates in patients who underwent surgery (p = 0.518). When analysing recurrence rates according to initial M-score values, patients with an initial M-score of ≥ 5 had a significantly higher recurrence rate (98.4%) than patients with an initial M-score < 5 (24%) (p < 0.001).

CONCLUSION: The treatment of IGM patients depends on the patient’s symptoms. For this reason, a scoring system is needed to define the symptoms and interpret the response to treatment more objectively. The M-score is at a level that can meet this need. In the present study, the recurrence rate was found to be higher in patients with an initial M-score ≥ 5 than in patients with an M-score < 5, which leads us to the idea of initiating more aggressive treatment than observation or mono-treatment in patients with high M-scores at the time of presentation.

PMID:41691333 | DOI:10.1186/s40001-026-04053-0

Child Adolesc Psychiatry Ment Health. 2026 Feb 14. doi: 10.1186/s13034-026-01042-3. Online ahead of print.

ABSTRACT

BACKGROUND: Depression and anxiety symptoms in adolescents and young adults represent a significant global public health challenge. Digital health interventions (DHIs) offer potential solutions to supplement traditional mental health services, though the relative efficacy of different types of interventions remains unclear.

OBJECTIVE: This study aims to systematically compare the treatment effects of digital health interventions driven by different mechanisms on depression and anxiety symptoms in this population through a Bayesian network meta-analysis.

METHODS: A systematic search was conducted in major databases such as PubMed, Embase, and PsycINFO (up to September 2025), including randomized controlled trials (RCTs) targeting depression or anxiety symptoms in individuals aged 12-25 years. Interventions were categorized based on treatment mechanisms into four types: cognitive behavioral therapy-based digital interventions (CBT-DI), third-wave digital therapies (TWDT), general digital mental health support (GDMHS), and technology-enhanced innovative interventions (TEII). The primary outcome measure was the standardized mean difference (SMD), with the cumulative ranking probability assessed using the surface under the cumulative ranking curve (SUCRA).

RESULTS: A total of 18 RCTs involving 5, 821 participants were included. Network meta-analysis indicated that CBT-DI achieved the highest surface under the cumulative ranking curve (SUCRA) values for both depression (79.3%) and anxiety (83.4%). In pairwise comparisons with no intervention controls, CBT-DI demonstrated a statistically significant improvement in anxiety symptoms (SMD = 0.33, 95% CrI: 0.05 to 0.69). However, for depression, the improvement associated with CBT-DI did not reach statistical significance (SMD = 0.44, 95% CrI: -0.02 to 0.91), suggesting that the high ranking probability reflects a potential trend rather than confirmatory evidence of superiority. TWDT and GDMHS demonstrated moderate efficacy for both symptoms, ranking above usual care and no intervention controls. The evidence quality assessment (GRADE) indicated that the primary outcomes were of low to moderate quality.

CONCLUSION: Digital health interventions, particularly CBT-based interventions (CBT-DI), were associated with statistically significant improvements in anxiety symptoms. For depression, while CBT-DI ranked highest in probability, it did not demonstrate statistical superiority over controls. Given the imprecision in effect estimates, CBT-DI may be considered a potential complementary measure within a stepped-care mental health system. Results should be interpreted with caution due to wide credible intervals, and further high-quality studies are required to confirm these findings.

PMID:41691290 | DOI:10.1186/s13034-026-01042-3

J Orthop Surg Res. 2026 Feb 14. doi: 10.1186/s13018-026-06717-3. Online ahead of print.

ABSTRACT

BACKGROUND: The present study aimed to investigate the effects of the glycogen synthase kinase-3 (GSK-3) inhibitor tideglusib on bone-tendon interface healing in a rabbit model of rotator cuff injury, based on biomechanical and histological assessments.

METHODS: Fourteen New Zealand rabbits underwent supraspinatus tendon detachment to establish a chronic rotator cuff tear model. After six weeks, surgical repair was performed. In the right shoulders, tideglusib was administered at the bone-tendon junction prior to performing the primary repair (drug group), whereas the left shoulders underwent primary repair without biological augmentation (control group). Seven animals were included in the group subjected to biomechanical tension testing, and six for histological evaluation.

RESULTS: Biomechanical evaluation demonstrated that the tideglusib group showed significantly higher load-to-failure values compared with the control group the control group (p < 0.05), whereas elongation at failure showed no statistically significant difference. Histological scoring demonstrated significantly improved cellular organization and tissue healing in the tideglusib group (p < 0.05).

CONCLUSION: Local application of tideglusib positively enhances tendon-bone healing both biomechanically and histologically. Further studies are warranted to explore its potential clinical applications.

PMID:41691285 | DOI:10.1186/s13018-026-06717-3