{"title":"Guide for Authors","authors":"","doi":"10.1002/cdt3.152","DOIUrl":"https://doi.org/10.1002/cdt3.152","url":null,"abstract":"","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 4","pages":"352-358"},"PeriodicalIF":0.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.152","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Association of cardiorenal biomarkers with mortality in metabolic syndrome patients: A prospective cohort study from NHANES","authors":"Qianyi Gao, Shuanglong Jia, Xingbo Mo, Huan Zhang","doi":"10.1002/cdt3.149","DOIUrl":"https://doi.org/10.1002/cdt3.149","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Approximately 20%–25% of the global adult population is affected by metabolic syndrome (MetS), highlighting its status as a major public health concern. This study aims to investigate the predictive value of cardiorenal biomarkers on mortality among patients with MetS, thus optimizing treatment strategies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Utilizing data from the National Health and Nutrition Examination Survey (NHANES) cycles between 1999 and 2004, we conducted a prospective cohort study involving 2369 participants diagnosed with MetS. We evaluated the association of cardiac and renal biomarkers with all-cause and cardiovascular disease (CVD) mortality, employing weighted Cox proportional hazards models. Furthermore, machine learning models were used to predict mortality outcomes based on these biomarkers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 2369 participants in the study cohort, over a median follow-up period of 17.1 years, 774 (32.67%) participants died, including 260 (10.98%) from CVD. The highest quartiles of cardiac biomarkers (N-terminal pro-B-type natriuretic peptide [NT-proBNP]) and renal biomarkers (beta-2 microglobulin, [β2M]) were significantly associated with increased risks of all-cause mortality (hazard ratios [HRs] ranging from 1.94 to 2.06) and CVD mortality (HRs up to 2.86), after adjusting for confounders. Additionally, a U-shaped association was observed between high-sensitivity cardiac troponin T (Hs-cTnT), creatinine (Cr), and all-cause mortality in patients with MetS. Machine learning analyses identified Hs-cTnT, NT-proBNP, and β2M as important predictors of mortality, with the CatBoost model showing superior performance (area under the curve [AUC] = 0.904).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Cardiac and renal biomarkers are significant predictors of mortality in MetS patients, with Hs-cTnT, NT-proBNP, and β2M emerging as crucial indicators. Further research is needed to explore intervention strategies targeting these biomarkers to improve clinical outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 4","pages":"327-339"},"PeriodicalIF":0.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.149","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Current status and perspectives in environmental oncology","authors":"Jie Liu, Ting Gan, Wenbiao Hu, Yumin Li","doi":"10.1002/cdt3.148","DOIUrl":"https://doi.org/10.1002/cdt3.148","url":null,"abstract":"<p>Cancer stands as a leading global cause of death, with its etiology characterized by complexity and multifaceted factors. Growing research indicates a strong correlation between environmental factors and cancer incidence, underscoring the critical importance of intervening in environmental risk factors to mitigate cancer occurrence. Despite this, specialized research institutions focusing on the intersection of environment and cancer remain scarce, with global investment in cancer prevention significantly trailing behind efforts in diagnosis and treatment. Against the backdrop of rapid global climate change, industrialization, urbanization, aging populations, and the globalization of lifestyles, we proposed the concept of <i>Environmental Oncology</i> (EO) to address these challenges. We discussed the rationale and necessity of developing EO and presented a comprehensive research framework focusing on cancer prevention and treatment. Future EO research will aim to identify cancer causes and implement early prevention strategies using advanced scientific technologies and methods. By emphasizing multidisciplinary collaboration and integrating molecular biology at the micro level, EO will explore the relationship between external and internal environments and cancer. EO will identify potential therapeutic targets by studying the pathways through which environmental exposures lead to carcinogenesis. EO will develop early warning systems and disseminate research findings by collecting big data, employing robust statistical models, and establishing research centers.</p>","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 4","pages":"293-301"},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.148","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"S-acylation of Ca2+ transport proteins in cancer","authors":"Sana Kouba, Nicolas Demaurex","doi":"10.1002/cdt3.146","DOIUrl":"https://doi.org/10.1002/cdt3.146","url":null,"abstract":"<p>Alterations in cellular calcium (Ca<sup>2+</sup>) signals have been causally associated with the development and progression of human cancers. Cellular Ca<sup>2+</sup> signals are generated by channels, pumps, and exchangers that move Ca<sup>2+</sup> ions across membranes and are decoded by effector proteins in the cytosol or in organelles. S-acylation, the reversible addition of 16-carbon fatty acids to proteins, modulates the activity of Ca<sup>2+</sup> transporters by altering their affinity for lipids, and enzymes mediating this reversible post-translational modification have also been linked to several types of cancers. Here, we compile studies reporting an association between Ca<sup>2+</sup> transporters or S-acylation enzymes with specific cancers, as well as studies reporting or predicting the S-acylation of Ca<sup>2+</sup> transporters. We then discuss the potential role of S-acylation in the oncogenic potential of a subset of Ca<sup>2+</sup> transport proteins involved in cancer.</p>","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 4","pages":"263-280"},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md. Mokbul Hossain, Abhijeet Roy, Abu Abdullah Mohammad Hanif, Fahmida Akter, Mehedi Hasan, Md. Showkat Ali Khan, Abu Ahmed Shamim, Moyazzam Hossaine, Mohammad Aman Ullah, S. M. Mustafizur Rahman, Mofijul Islam Bulbul, Dipak Kumar Mitra, Malay Kanti Mridha
{"title":"Distribution and disparities of healthy lifestyles and noncommunicable diseases risk factors between men and women aged 20–59 years in Bangladesh: Evidence from a nationwide survey","authors":"Md. Mokbul Hossain, Abhijeet Roy, Abu Abdullah Mohammad Hanif, Fahmida Akter, Mehedi Hasan, Md. Showkat Ali Khan, Abu Ahmed Shamim, Moyazzam Hossaine, Mohammad Aman Ullah, S. M. Mustafizur Rahman, Mofijul Islam Bulbul, Dipak Kumar Mitra, Malay Kanti Mridha","doi":"10.1002/cdt3.145","DOIUrl":"https://doi.org/10.1002/cdt3.145","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Noncommunicable diseases (NCDs) are public health threats globally and recognized impediments to socioeconomic development. This study aimed to identify the prevalence and clustering of NCDs risk factors among Bangladeshi men and women aged 20–59 years using nationally representative data.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study was conducted in 82 rural, nonslum urban, and slum clusters across all eight administrative divisions of Bangladesh using multistage cluster sampling. A total of 4917 men and 4905 women aged 20–59 years were included in the study. Descriptive analyses were performed to report the prevalence and distribution of behavioral and clinical risk factors. Multivariable binary logistic regression was performed to identify factors associated with the coexistence of three or more NCD risk factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The prevalence of tobacco use (any form), insufficient physical activity, inadequate fruit and vegetable consumption, overweight and obesity, and central obesity were 38.3%, 13.6%, 87.1%, 42.3%, and 36.0%, respectively. Furthermore, 21.9% and 4.9% participants had hypertension and self-reported diabetes, respectively. Regarding the clustering of risk factors, 37.1% men and 50.8% women had at least three NCD risk factors. Only 3.0% men and 1.8% women reported no NCD risk factors. Age, place of residence, education, and wealth status were associated with the presence of at least three risk factors for both sexes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Since a large proportion of Bangladeshi 20–59 years old population had multiple risk factors, population-based programs with multisectoral approaches are essential to reduce NCDs among Bangladeshi women and men.</p>\u0000 </section>\u0000 </div>","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 4","pages":"312-326"},"PeriodicalIF":0.0,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ken R. Smith, Huong Meeks, David Curtis, Barbara B Brown, Kyle Kole, Lori Kowaleski-Jones
{"title":"Family history of type 2 diabetes and the risk of type 2 diabetes among young and middle‐aged adults","authors":"Ken R. Smith, Huong Meeks, David Curtis, Barbara B Brown, Kyle Kole, Lori Kowaleski-Jones","doi":"10.1002/cdt3.147","DOIUrl":"https://doi.org/10.1002/cdt3.147","url":null,"abstract":"The prevalence of type 2 diabetes has been growing among younger and middle‐aged adults in the United States. A portion of this increase for this age group may be attributable to shared type 2 diabetes risks with family members. How family history of type 2 diabetes history is associated with type 2 diabetes risk among younger and middle‐aged adults is not well understood.This population‐based retrospective cohort study uses administrative, genealogical, and electronic medical records from the Utah Population Database. The study population comprises offspring born between 1970 and 1990 and living in the four urban Utah counties in the United States between 1990 and 2015. The sample comprises 360,907 individuals without a type 2 diabetes diagnosis and 14,817 with a diagnosis. Using multivariate logistic regressions, we estimate the relative risk (RR) of type 2 diabetes associated with the number of affected first‐ (FDRs), second‐ (SDRs), and third‐degree (first cousin) relatives for the full sample and for Hispanic‐specific and sex‐specific subsets.Individuals with 2+ FDRs with type 2 diabetes have a significant risk of type 2 diabetes in relation to those with no affected FDRs (RR = 3.31 [3.16, 3.48]). Individuals with 2+ versus no SDRs with type 2 diabetes have significant but lower risks (RR = 1.32 [1.25, 1.39]). Those with 2+ versus no affected first cousins have a similarly low risk (RR = 1.28 [1.21, 1.35]). Larger RRs are experienced by males (2+ vs. 0 FDRs, RR = 3.55) than females (2+ vs. 0 FDRs, RR = 3.18) (p < 0.05 for the interaction). These familial associations are partly mediated by the individual's own obesity.The risks of type 2 diabetes are significantly associated with having affected first‐, second‐, and third‐degree relatives, especially for men. One of the forces contributing to the rising patterns of type 2 diabetes among young and middle‐aged adults is their connection to affected, often older, kin.","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"126 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Guide for Authors","authors":"","doi":"10.1002/cdt3.143","DOIUrl":"https://doi.org/10.1002/cdt3.143","url":null,"abstract":"","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 3","pages":"256-262"},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum: Effects of long-term blood pressure variability on renal function in community population","authors":"","doi":"10.1002/cdt3.144","DOIUrl":"https://doi.org/10.1002/cdt3.144","url":null,"abstract":"<p>In the article titled, “Effects of long-term blood pressure variability on renal function in community population” published in pages 149–152, vol. 10 of Chronic Diseases and Translational Medicine,<span><sup>1</sup></span> the order of the first author's name is incorrect. The first author's name should be Feng Zhao.</p>","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 4","pages":"351"},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Guide for Authors","authors":"","doi":"10.1002/cdt3.140","DOIUrl":"https://doi.org/10.1002/cdt3.140","url":null,"abstract":"","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 2","pages":"159-165"},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.140","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141308786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yaxian Meng, Qianqian Ji, Aijie Zhang, Yiqiang Zhan
{"title":"Trends in the prevalence and incidence of chronic obstructive pulmonary disease among adults aged ≥50 years in the United States, 2000–2020","authors":"Yaxian Meng, Qianqian Ji, Aijie Zhang, Yiqiang Zhan","doi":"10.1002/cdt3.135","DOIUrl":"https://doi.org/10.1002/cdt3.135","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Understanding the trends of the prevalence and incidence rate of chronic obstructive pulmonary disease (COPD) is vital for improving the control and prevention of COPD. We aimed to examine the trends in the prevalence and incidence rate of COPD among adults aged 50 years or older in the United States during 2000–2020.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Utilizing data from the Health and Retirement Study, we analyzed COPD prevalence across survey waves and calculated COPD incidence rates between consecutive interview waves, stratified by gender and race. We employed joinpoint regression models to investigate trends in COPD prevalence and incidence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The individuals reporting COPD are more likely to be women and Caucasians. The age-adjusted prevalence of COPD among adults aged 50 years and over showed an increasing trend throughout the study period, spanning from 9.02% in 2000 to 9.88% in 2020 (average biennial percent change [ABPC] = 0.41, 95% confidence interval [CI]: 0.10, 0.71; <i>p</i> = 0.01). The age-adjusted incidence rate of COPD among adults aged 50 and over showed a decreasing trend throughout the study period 1031.1 per 100,000 person-years in 2000 to 700.5 per 100,000 person-years in 2020 (ABPC = −1.63, 95% CI: −2.88, −0.36; <i>p</i> = 0.02).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our findings indicate a rising prevalence of COPD among older adults in the United States since 2000, while the incidence rate of COPD has shown a declining trend.</p>\u0000 </section>\u0000 </div>","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"10 4","pages":"302-311"},"PeriodicalIF":0.0,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cdt3.135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}