International Journal of Medical Sciences最新文献

{"title":"Actin-Like Protein 6A as an Oncogene and Therapeutic Target in Cancer.","authors":"Guo-Bin Song, Lin Xiang, Tian Peng, Ya-Nan Li, Hou-Qun Ying, Xue-Xin Cheng","doi":"10.7150/ijms.113736","DOIUrl":"10.7150/ijms.113736","url":null,"abstract":"<p><p>ACTL6A, a core subunit of the SWI/SNF chromatin remodeling complex, has emerged as a critical oncogenic driver across multiple malignancies. Recent studies reveal that aberrant ACTL6A overexpression promotes tumor initiation, progression, and metastasis by orchestrating chromatin remodeling, transcriptional reprogramming, and crosstalk with key signaling pathways (e.g., Hippo/YAP, Notch, and PI3K/AKT). This review systematically synthesizes evidence from <i>in vitro</i>, <i>in vivo</i>, and clinical studies spanning hepatocellular carcinoma, breast cancer, glioblastoma, and 10 other cancer types, highlighting ACTL6A's dual role as a chromatin remodeler and an independent oncogenic effector. Key mechanisms include sustaining cancer stemness, suppressing apoptosis, enhancing DNA repair, and driving metabolic reprogramming. Clinically, ACTL6A overexpression correlates with advanced tumor stage, therapy resistance, and poor prognosis, positioning it as a promising prognostic biomarker and therapeutic target. We further discuss emerging strategies to inhibit ACTL6A (e.g., siRNA, small-molecule inhibitors) and propose combinatorial approaches to overcome drug resistance. By integrating multi-omics data and preclinical models, this review not only clarifies ACTL6A's context-dependent oncogenic networks but also bridges mechanistic insights to translational challenges, offering a roadmap for future research and therapeutic development.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 12","pages":"2906-2918"},"PeriodicalIF":3.2,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12243864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repurposing Antidiabetic Drugs for Gangrene: A Mendelian Randomization and Text Mining Study.","authors":"Chenfeng Wang, Huiwei Wang, Ting Feng, Yihe Hu, Feng Liang","doi":"10.7150/ijms.111050","DOIUrl":"10.7150/ijms.111050","url":null,"abstract":"<p><p><b>Objective:</b> Gangrene has been a problem for many people with diabetes. Besides, the relationship and pathomechanism of diabetes-induced gangrene (DG) are still unclear. The aim of this study was to investigate the causal relationship between diabetes and gangrene through Mendelian randomization (MR) and to identify potential therapeutic agents using bioinformatics analysis. <b>Method:</b> Summary data from genome-wide association studies (GWAS) were utilized to evaluate the connection between two types of diabetes and gangrene risk using a two-sample MR design. Single nucleotide polymorphisms (SNPs) that were significantly associated with diabetes were selected as instrumental variables, and their validity was verified by F-statistics and other methods. Next, we used text mining and protein-protein interaction (PPI) networks to filtrate significant genes for drug-gene interaction (DGI) to identify prospective medications for the therapy of DG. <b>Results:</b> Through multiple methods analysis (IVW, MR-Egger and MR-PRESSO etc.), MR analysis showed that genetic susceptibility to type 1 diabetes was related to a higher risk of gangrene risk (OR: 1.19, 95% CI: 1.04-1.36, P-value: 0.0134), while type 2 diabetes mellitus (T2DM) could also increase the gangrene risk (OR: 1.57, 95% CI: 1.05-2.33, P-value: 0.0269). The outcomes of text mining disclosed 50 genes enriched in NOD-like receptor and RAGE signaling pathways commonly associated with both diabetes and gangrene for PPI analysis. Subsequent DGI analysis revealed six genes targeted by 12 drugs (DGI score > 5), presenting them as candidates for treating DG. <b>Conclusion:</b> In conclusion, this study not only validates the causal effect of diabetes on gangrene risk but also identifies several potential therapeutic agents (CILAZAPRIL, RESATORVID, SILTUXIMAB, and OLOKIZUMAB) by integrating bioinformatics analysis, providing new directions for future clinical interventions.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 12","pages":"2896-2905"},"PeriodicalIF":3.2,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12243868/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fructose Metabolism in Cancer: Molecular Mechanisms and Therapeutic Implications.","authors":"Xinyi Chen, Mu Yang, Lu Wang, Jingyao Tu, Xianglin Yuan","doi":"10.7150/ijms.108549","DOIUrl":"10.7150/ijms.108549","url":null,"abstract":"<p><p>Metabolic reprogramming enables cancer cells to adapt to the tumor microenvironment, facilitating their survival, proliferation, and resistance to therapy. While glucose has long been considered the primary substrate for cancer cell metabolism, recent studies have highlighted the role of fructose as an alternative carbon source. Fructose metabolism, particularly through key enzymes such as ketohexokinase (KHK) and aldolase B (ALDOB), along with the fructose transporter GLUT5, supports tumor growth, metastasis, and therapeutic resistance. This review explores the mechanisms by which fructose metabolism influences cancer progression, focusing on its metabolic pathways and its impact on the tumor microenvironment. By promoting glycolysis, lipid biosynthesis, and nucleotide production, fructose metabolism enhances the metabolic adaptability of cancer cells, especially in glucose-deprived conditions. A comprehensive understanding of these processes offers potential insights into therapeutic strategies targeting fructose metabolism for cancer treatment. However, further studies are required to fully elucidate the complex role of fructose in various malignancies.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 11","pages":"2852-2876"},"PeriodicalIF":3.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12163614/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144302051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Screening and Evaluation of tRF-Glu-CTC-013 as a Biomarker and Key Regulator in the Development of Cardiac Hypertrophy.","authors":"Wenlin Li, Ming Lan, Kun Xu, Sainan Li, Que Wang, Beidong Chen, Xiuqing Huang, Lin Dou, Na Jia, Li Zhao, Yuefeng Wang, Xingyun Jiao, Yong Man, Deping Liu, Liang Sun, Tong Zou, Qing He, Jian Li, Xue Yu, Tao Shen","doi":"10.7150/ijms.106114","DOIUrl":"10.7150/ijms.106114","url":null,"abstract":"<p><p>tRNA-derived small RNAs (tsRNAs) are a newly recognized class of non-coding RNAs involved in regulating RNA processing and translational control. Pathological cardiac hypertrophy, characterized by left ventricular remodeling under chronic stress, serves as a critical precursor to severe cardiovascular pathologies including myocardial ischemia, infarction, and heart failure. Utilizing an angiotensin II (Ang II)-induced mouse cardiac hypertrophy model combined with tsRNA transcriptome profiling, we identified differentially expressed tsRNAs and investigated their functional relevance. Validation in neonatal mouse ventricular myocytes (NMVMs) revealed five upregulated tsRNAs associated with hypertrophic progression. Functional characterization showed that overexpressing tRF-Glu-CTC-013 significantly reduced cardiomyocyte hypertrophy and inhibited inflammation and fibrosis. Further luciferase reporter assays revealed that tRF-Glu-CTC-013 could bind to the 3' UTR of TAS1R3, thereby inhibiting its expression and enhancing the level of autophagy in NMVMs. Taken together, these findings suggest that tsRNAs may act as novel regulators of cardiac remodeling, with tRF-Glu-CTC-013 emerging as a promising therapeutic candidate for cardioprotection via anti-hypertrophic, anti-inflammatory, and anti-fibrotic mechanisms.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 11","pages":"2839-2851"},"PeriodicalIF":3.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12163609/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144302057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of cardiorespiratory fitness with adverse outcomes in patients with and without atrial fibrillation: a prospective cohort study.","authors":"Yutong Wang, Tao Xu, Chenxi Xia, Xinyang Song, Yanwen Chen, Sixian Weng, Fang Wang","doi":"10.7150/ijms.110802","DOIUrl":"10.7150/ijms.110802","url":null,"abstract":"&lt;p&gt;&lt;p&gt;&lt;b&gt;Background:&lt;/b&gt; Cardiorespiratory fitness plays a crucial role in cardiovascular health; however, its effects on adverse cardiovascular outcomes across different diseases remain poorly defined. Specifically, the differential impact of cardiorespiratory fitness on patients with and without atrial fibrillation (AF) is yet to be fully understood. This study aimed to explore the relationships between resting heart rate (RHR), maximal heart rate (HRmax), and maximal oxygen uptake (VO₂max) in relation to adverse cardiovascular outcomes, providing valuable insights to inform exercise prescriptions and cardiac rehabilitation practices. &lt;b&gt;Methods:&lt;/b&gt; Participants were classified into two groups: those with AF diagnosed prior to baseline (AF group) and those without AF at baseline (non-AF group). In the AF group, outcomes included heart failure (HF), stroke, and all-cause mortality; in the non-AF group, incident AF, stroke, HF, and mortality were assessed. Associations between cardiorespiratory indices-RHR, HRmax, and VO₂max-and adverse cardiovascular events were evaluated using Cox proportional hazards models. Dose-response relationships were examined via restricted cubic spline (RCS) models with three knots. &lt;b&gt;Results:&lt;/b&gt; In the non-AF population, higher resting heart rate was significantly associated with an increased risk of adverse cardiovascular outcomes, including heart failure (HF: HR = 1.008, 95% CI 1.001-1.014, P = 0.0182), stroke (HR = 1.010, 95% CI 1.004-1.016, P = 0.0018), atrial fibrillation (AF: HR = 1.011, 95% CI 1.007-1.015, P &lt; 0.0001), and all-cause mortality (HR = 1.016, 95% CI 1.010-1.022, P &lt; 0.0001). In contrast, higher HRmax was inversely associated with these outcomes (HF: HR = 0.993, 95% CI 0.991-0.995, P &lt; 0.0001; stroke: HR = 0.993, 95% CI 0.990-0.995, P &lt; 0.0001; AF: HR = 0.993, 95% CI 0.991-0.994, P &lt; 0.0001; cardiovascular death: HR = 0.994, 95% CI 0.990-0.997, P &lt; 0.0001). Similarly, higher cardiorespiratory fitness, measured by VO₂max, was consistently associated with reduced risks of adverse outcomes (HR range: 0.930-0.961, P &lt; 0.001). In the AF population, higher RHR was associated with elevated risks of HF (HR = 1.007, 95% CI 1.002-1.012, P = 0.0047) and all-cause mortality (HR = 1.009, 95% CI 1.004-1.014, P &lt; 0.0001). Conversely, greater VO₂max was linked to reduced risks of adverse outcomes, including HF (HR = 0.934, 95% CI 0.899-0.972, P &lt; 0.0001), stroke (HR = 0.943, 95% CI 0.891-0.999, P = 0.0446), and all-cause mortality (HR = 0.957, 95% CI 0.918-0.998, P = 0.038). &lt;b&gt;Conclusion:&lt;/b&gt; In individuals without AF, higher resting heart rate was significantly associated with increased risks of incident AF, HF, stroke, and all-cause mortality, with the lowest risks of AF and HF observed at an RHR of 61 beats per minute. Among patients with AF, elevated RHR was significantly linked to higher risks of HF and all-cause mortality. Conversely, higher VO₂max was consistently associated with reduced risks of adverse","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 11","pages":"2830-2838"},"PeriodicalIF":3.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12163610/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144302030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term Cardiovascular Outcomes in Patients with Omicron COVID-19 and Elevated Cardiac Biomarkers: A Prospective Multicenter Cohort Study in Shanghai, China.","authors":"Shun Yao, Yamei Xu, Zhonglei Xie, Shuai Yuan, Junqing Gao, Qianwei Chen, Kailei Shi, Zongjun Liu, Xiaotong Cui, Yanyan Wang, Yu Song, Xueting Han, Junbo Ge, Zhenju Song, Jingmin Zhou","doi":"10.7150/ijms.112282","DOIUrl":"10.7150/ijms.112282","url":null,"abstract":"<p><p><b>Background:</b> The long-term cardiovascular outcomes of SARS-CoV-2 omicron-infected patients remain unclear. This study aimed to evaluate acute and long-term cardiovascular risks in hospitalized omicron-infected patients with elevated cardiac biomarkers. <b>Methods:</b> We included 3012 patients hospitalized in Shanghai, China, between December 1, 2022, and January 31, 2023. Participants were stratified into four groups based on cardiac troponin T (cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels. Major adverse cardiovascular events (MACEs), all-cause death, cardiovascular death, and cardiovascular-related rehospitalization were evaluated over a 12-month follow-up. <b>Results:</b> Patients with elevated cTnT and high NT-proBNP had significantly higher risks of MACEs (HRadj=2.85, 95% CI 1.58-5.12), all-cause death (HRadj=5.56, 95% CI 1.51-20.52), cardiovascular death (HRadj=11.97, 95% CI 1.40-102.46), and cardiovascular-related rehospitalization (HRadj=2.38, 95% CI 1.28-4.42). The finding of Subgroup analyses indicated the risk of MACEs were independent of age, gender, hypertension, coronary artery disease, acute coronary syndrome, or heart failure. <b>Conclusions:</b> Elevated cTnT and NT-proBNP levels during the acute phase of omicron infection predict a substantially increased risk of adverse cardiovascular outcomes within 12 months.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 12","pages":"2884-2895"},"PeriodicalIF":3.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12243857/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of a Fall Predictive Model for Inpatients in Japanese Long Term Care Hospitals.","authors":"Hitomi Shimada, Risa Hirata, Naoko E Katsuki, Eiji Nakatani, Kiyoshi Shikino, Maiko Ono, Midori Tokushima, Tomoyo Nishi, Shizuka Yaita, Chihiro Saito, Kaori Amari, Kazuya Kurogi, Yoshimasa Oda, Mariko Yoshimura, Shun Yamashita, Yoshinori Tokushima, Hidetoshi Aihara, Motoshi Fujiwara, Masaki Tago","doi":"10.7150/ijms.106600","DOIUrl":"10.7150/ijms.106600","url":null,"abstract":"<p><p><b><i>Background:</i></b> The Saga Falls Risk Model 2 (SFRM2) is a simplified fall prediction model that we recently developed. It uses eight items that are easy to assess at the time of admission to an acute care hospital. However, patients in long-term care hospitals have poor activities of daily living and a high risk of falls compared to those in acute care hospitals. Although effective fall predictive models exist for long-term care hospitals, their accuracy remains suboptimal. This study aimed to validate the SFRM2 for predicting falls in long-term care hospital patients. <b><i>Methods:</i></b> This multicenter retrospective observational study was conducted in three long-term care hospitals in Japan from April 2018 to March 2021. All inpatients aged ≥20 years were included. The eight items of the SFRM2 (age, sex, emergency admission, department of admission, hypnotic medication use, history of falls, eating independence, and Bedriddenness rank) and in-hospital falls were collected from medical records. The accuracy of SFRM2 was assessed by calculating the area under the curve (AUC) and shrinkage coefficient, as well as the sensitivity, specificity, positive predictive value, and negative predictive value. <b><i>Results:</i></b> Among the 1182 patients (median age: 86 years, 538 males) included in the analysis, 140 (11.8%) experienced in-hospital falls. The fall incidence rate was 4.4 per 1000 patient-days. SFRM2 exhibited an AUC of 0.889 (95% confidence interval: 0.861-0.916), consistent with the actual incidence of falls, with a shrinkage coefficient of 0.975. The cutoff score for SFRM2 on the Youden index was -2.14, with a sensitivity of 77.9%, specificity of 84.7%, positive predictive value of 40.6%, and negative predictive value of 96.6%. <b><i>Conclusion:</i></b> SFRM2 showed good discriminative ability in external validation at long-term care hospitals. Its applicability in this setting may be advantageous due to the relatively stable condition of older inpatients compared to those in acute care hospitals.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 12","pages":"2877-2883"},"PeriodicalIF":3.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12243853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PDGF-BB/EGR1 Axis Drives Fibroblast Activation Protein Expression to Promote Abdominal Aortic Aneurysm.","authors":"Zhihao Zhou, Lin Huang, Hui Luo, Rongzhou He, Ridong Wu, Rui Wang, Kangjie Wang, Chen Yao","doi":"10.7150/ijms.114429","DOIUrl":"10.7150/ijms.114429","url":null,"abstract":"<p><p>This study investigates the molecular mechanisms of fibroblast activation protein (FAP) in vascular smooth muscle cells (VSMCs) during abdominal aortic aneurysm (AAA) development. Bulk and single-cell RNA sequencing analysis revealed elevated FAP expression in AAA-derived VSMCs. In a porcine pancreatic elastase (PPE)-induced AAA mouse model, pharmacological inhibition of FAP (Ac-Gly-BoroPro) attenuated aneurysm formation and reduced macrophage infiltration. Further analysis showed that PDGF-BB upregulates FAP expression in VSMCs via the transcription factor EGR1, which binds to the FAP promoter to drive transcription. EGR1 inhibition significantly reduced PDGF-BB-induced FAP expression, highlighting its regulatory role. Additionally, clinical ¹⁸F-FAP inhibitor PET/CT imaging in an infectious AAA patient revealed strong FAP expression in the aneurysm wall. These findings underscore the importance of the PDGF-BB/EGR1/FAP axis in AAA pathogenesis and suggest that targeting FAP could offer therapeutic potential for managing AAA progression.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 11","pages":"2816-2829"},"PeriodicalIF":3.2,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12163607/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144302056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Long-Term Exposure to Air Pollutants and Prostate Cancer in a Large Taiwanese Population.","authors":"Jiun-Hung Geng, Chia-Yang Li, Ming-Tsang Wu, Szu-Chia Chen, Shu-Pin Huang","doi":"10.7150/ijms.109687","DOIUrl":"10.7150/ijms.109687","url":null,"abstract":"<p><p>Air pollution is associated with various illnesses including cancers, of which prostate cancer is one of the most prevalent malignancies in men. Emerging evidence has suggested that air pollution is a potential risk factor for prostate cancer. This study aimed to explore the relationship between air pollution and prostate cancer in a Taiwanese population. Using data from the Kaohsiung Medical University Hospital Database, we conducted a case-control study to identify patients with prostate cancer, and matched them by age with individuals without prostate cancer. Environmental pollution indices including particulate matter (PM), nitrogen oxides (NOx), sulfur dioxide (SO2), ozone (O3) and carbon monoxide (CO) were correlated with the patients' addresses using data from the Taiwan Central Air Quality Monitoring Network. The analysis included 3541 prostate cancer patients and 7082 age-matched controls. After adjusting for confounders, conditional logistic regression analysis demonstrated significant associations of prostate cancer with PM2.5 (odds ratio [95% confidence interval]: 1.240 [1.134-1.356]) and CO (odds ratio [95% confidence interval]: 1.105 [1.025-1.192]) at the index date, with similar associations observed for average exposure levels over 1, 2, 3, and 5 years prior to the index date. Furthermore, sensitivity analyses revealed that the odds ratios for combined-risk Z-score exposure at the index date and over these same time periods were 1.029, 1.033, 1.034, 1.034, and 1.033, respectively. These findings suggest that prolonged exposure to multiple air pollutants collectively contributes to prostate cancer risk. Further investigations are needed to validate these findings and explore potential underlying mechanisms.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 11","pages":"2771-2781"},"PeriodicalIF":3.2,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12163608/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144302031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development Of the VAMPCT Score for Predicting Mortality in CKD Patients with COVID-19.","authors":"Chaofan Li, Yue Niu, Xinyan Pan, Dinghua Chen, Fei Liu, Zhe Feng, Yong Wang, Xueying Cao, Jie Wu, Jiabao Liu, Xin Guan, Xuefeng Sun, Li Zhang, Guangyan Cai, Xiangmei Chen, Ping Li","doi":"10.7150/ijms.111558","DOIUrl":"10.7150/ijms.111558","url":null,"abstract":"<p><p><b>Background:</b> Chronic kidney disease (CKD) patients with coronavirus disease 2019 (COVID-19) are at significant risk of death. However, clinical identification of high-risk individuals remains suboptimal despite the recognition of many pathophysiological and comorbidity-related risk factors. We aim to develop a clinically simple machine learning (ML)-based score to predict acute COVID-19 mortality among CKD patients. <b>Methods:</b> CKD inpatients with COVID-19 were prospectively enrolled from December 2022 to January 2023 with a three-month follow-up. Feature selection from clinical and laboratory results was performed through least absolute shrinkage and selection operator and stepwise selection. Logistic regression, support vector machine (SVM), random forest, and extreme gradient boosting were applied for ML model development. A predictive score for mortality was constructed using logistic regression. We compared predictive ability between the proposed score and other published scores. <b>Results:</b> 219 CKD patients were included and had a high mortality rate of 25.1%. The SVM model exhibited the best performance, with the validation area under the receiver operating characteristic curve (AUC) being 0.946 (95% CI 0.918, 0.974). The COVID-19 vaccination status, age, monocyte percentage, prothrombin activity, cardiac troponin T, and total bilirubin (\"VAMPCT\") were the most relevant factors and utilized to develop the scoring system with an AUC of 0.960 (95% CI 0.935, 0.985). <b>Conclusion:</b> ML models predicting three-month mortality had favorable performance for CKD patients with COVID-19. The VAMPCT mortality score provided a user-friendly approach.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 11","pages":"2782-2791"},"PeriodicalIF":3.2,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12163619/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144302033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}