Chi Zhang

Objective: This study aims to assess the relevant risk factors and construct a nomogram model to assist in the early identification of shoulder-hand syndrome (SHS) after ischemic stroke. Method: One thousand five hundred and thirty-nine ischemic stroke patients admitted to the First People’s Hospital of Neijiang from September 2021 to August 2025 were selected as the research subjects. After exclusion, 1,211 patients were selected. These patients were divided into the training group ( N = 848) and the test group ( N = 363) at a ratio of 7:3. The coefficients of the predictors in the Logistic regression were used to establish a nomogram and to verify its discriminative power, calibration, and clinical practicability. Result: Multivariate Logistic regression analysis revealed that age, hypertension, alcohol drinking, muscle strength of the affected upper limb, NIHSS, albumin, and total cholesterol were independent risk factors for shoulder-hand syndrome after ischemic stroke. The nomogram model demonstrated reliable predictive efficacy, with an area under the curve (AUC value) of 0.891 (95% CI, 0.853–0.929). Both DCA and CIC confirmed that the nomogram model has strong clinical practical value. Conclusion: This study developed a novel predictive model for shoulder-hand syndrome after ischemic stroke, providing a valuable tool for the early identification of high-risk patients in clinical settings.

JOURNAL/mgres/04.03/01612956-990000000-00074/figure1/v/2026-01-23T135356Z/r/image-tiff As a non-invasive and drug-free treatment method, hyperbaric oxygen therapy has been applied in cerebrovascular accidents to improve cerebral hypoxia, reduce ischemia–reperfusion injury following stroke and promote neural repair. However, its clinical efficacy remains controversial. This work aims to analyze the progress of research on the role of hyperbaric oxygen in stroke through bibliometric methods and takes relevant literature from the Web of Science core database from 2007 to December 31, 2024. The results showed that from 2007 to the present, the annual number of English publications in this field has shown a fluctuating but gradual upward trend, with the peak in publication volume occurring in 2015. China is in a leading position in this field, but there is still a lack of international cooperation and high-impact journal articles from Chinese institutions and researchers. The top five keywords were “hyperbaric oxygen” (84 occurrences), “stroke” (46 occurrences), “hyperbaric oxygen therapy” (45 occurrences), “focal cerebral ischemia” (27 occurrences), and “cerebral ischemia” (26 occurrences). A total of 13 major research areas were identified, including #0 stem cells, #1 hyperbaric oxygen, #2 perfusion, #3 EPR oximetry, #4 tPA, #5 rehabilitation, #6 acute stroke, #7 TBI, #8 stroke medicine, #9 hyperbaric oxygen preconditioning, #10 preconditioning, #11 ischemia–reperfusion injury, and #12 hyperbaric. At present, there are relatively few clinical trials registered on hyperbaric oxygen therapy for the treatment of stroke. Due to the fact that the effectiveness of hyperbaric oxygen therapy depends on the type and timing of stroke, there is currently no unified standard for the optimal timing and duration of hyperbaric oxygen therapy. Overall, hyperbaric oxygen therapy is safe and reliable, with most adverse reactions being mild and reversible. In summary, hyperbaric oxygen therapy has significant neuroprotective and functional recovery potential in stroke patients.

Background: Stroke is the second leading cause of death and third leading cause of disability globally. The dose–response relationship between physical activity (PA), particularly moderate-to-vigorous physical activity (MVPA), and stroke risk remains unclear, with limited sex-specific evidence. Aims: To examine the dose–response associations of total PA and MVPA with stroke risk, considering sex and subtype differences. Methods: A systematic review and dose–response meta-analysis of prospective cohort studies published between 2013 and 2024, with follow-up durations ranging from 4.9 to 17.9 years, were conducted. PA exposures were standardized to MET-hours per week (MET-h/wk), and incident stroke was the primary outcome. Study-specific hazard ratios (HRs) and 95% confidence intervals (CIs) were pooled using random-effects models. Dose–response associations were assessed using restricted cubic spline models. Analyses stratified by sex and subtype were performed when available. Results: Fourteen cohorts (n = 2,639,086) were included. Total PA showed a nonlinear inverse association with stroke risk: each 10 MET-h/wk increment reduced risk by 1% up to 130 MET-h/wk, corresponding to a 13% maximum reduction, after which benefits plateaued. MVPA exhibited an L-shaped association (P < 0.001), with the greatest benefit (19% reduction) at 19 MET-h/wk, followed by a gradual increase in risk. Sex-stratified analysis revealed a J-shaped pattern in females (optimal 10–15 MET-h/wk; 18% reduction). For males, the HR was 0.89 (95% CI: 0.70–1.13), and a nonlinear model could not be established due to limited data. In ischemic stroke, dose–response patterns paralleled those for total stroke. Conclusions: The study found a significant dose–response relationship between total PA and MVPA with stroke risk. Optimal prevention was observed at 130 MET-h/wk for total PA and 19 MET-h/wk for MVPA. Evidence in males and for hemorrhagic stroke remains limited and warrants further study.

Purpose: To provide a comprehensive analysis of associated genes with osteoarthritis (OA). Here, we reported a network analysis of OA progression by using a Steiner minimal tree algorithm. Methods: We collected the OA-related genes through screening the publications in MEDLINE. We performed functional analysis to analyze the associated biochemical pathways of the OA-related genes. Pathway crosstalk analysis was constructed to explore interactions of the enriched pathways. Steiner minimal tree algorithm was used to analyze molecular pathway networks. The average clustering coefficient was compared with the corresponding values of the Osteoarthritis-specific network. The new finding RNA was compared with former single-cell RNA-seq analysis results. Results: A gene set with 177 members reported to be significantly associated with Osteoarthritis was collected from 187 studies. Functional enrichment analysis revealed a specific related-OA gene including skeletal system development, cytokine-mediated signaling pathway, inflammatory response, cartilage development, and extracellular matrix organization. We performed a pathway crosstalk analysis among the 72 significantly enriched pathways. A total of 151 of the 177 genes in the Osteoarthritis gene set were included in the human interactome network. There were 31 genes in the former single-cell RNA-seq analysis results. The CLU, ENO1, SRRM1, UBC, HMGB1, NR3C1, NOTCH2NL, and CBX5 have significantly increased expression in seven molecularly defined populations of OA cartilage. Conclusion: The Steiner tree-based approach finds new biological molecules associated with OA genes.

Background: There is currently a limited number of studies on transglutaminase type 1 (TGM1) in tumors. The objective of this study is to perform a comprehensive analysis across various types of cancer to determine the prognostic significance of TGM1 in tumors and investigate its role in the immune environment. Method: Pan-cancer and mutational data were retrieved from the TCGA database and analyzed using R (version 3.6.4) and its associated software package. The expression difference and prognosis of TGM1 were examined, along with its correlation with tumor heterogeneity, stemness, mutation landscape, and RNA modification. Additionally, the relationship between TGM1 expression and tumor immunity was investigated using the TIMER method. Results: TGM1 is expressed differently in various tumors and normal samples and is associated with the overall survival and progression-free time of KIRC, ACC, SKCM, LIHC, and STES. In LICH, we found a negative correlation between TGM1 expression and 6 indicators of tumor stemness. The mutation frequencies of BLCA, LIHC, and KIRC were 1.7%, 0.3%, and 0.3% respectively. In BLCA and BRCA, there was a significant correlation between TGM1 expression and the infiltration of CD4 + T cells, CD8 + T cells, neutrophils, and dendritic cells. Conclusion: TGM1 has the potential to serve as both a prognostic marker and a drug target.

Spindle and kinetochore-associated complex subunit 3 (SKA3) is a microtubule-binding subcomplex of the outer kinetochore which plays a vital role in proper chromosomal segregation and cell division. Recently, SKA3 have been demonstrated its oncogenic role of tumorigenesis and development in cancers. In this review, we comprehensively deciphered SKA3 in human cancer from various aspects, including bibliometrics, pan-cancer analysis and narrative summary. We also provided top 10 predicted drugs targeting SKA3. We proposed that SKA3 was a potential target and brought new therapeutic opportunities for cancer patients. Export