Article
Nutrition & Dietetics
Wei-Lun Wen, Hui-Chun Huang, Hsiu-Chu Lin, Wan-Ching Lo, Szu-Chia Chen, Mei-Yueh Lee
Summary: In patients newly diagnosed with T2DM, glycemic durability is negatively associated with higher glycemic burden.
Article
Medicine, General & Internal
Hon-Ke Sia, Chew-Teng Kor, Shih-Te Tu, Pei-Yung Liao, Jiun-Yi Wang
Summary: This study found that smoking was independently associated with unfavorable glycemic control among men with newly diagnosed type 2 diabetes, especially in those with a lower BMI.
ANNALS OF MEDICINE
(2022)
Article
Clinical Neurology
Ji Hyun Baek, Dong Wook Shin, Maurizio Fava, David Mischoulon, Hyewon Kim, Mi Jin Park, Eun Ji Kim, Kyung-Do Han, Hong Jin Jeon
Summary: The study showed that high variability in metabolic parameters is associated with an increased risk of newly diagnosed depression, even after adjusting for various covariates. This suggests that metabolic parameter variability is an independent risk factor for depression.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Clinical Neurology
Kuan-Ying Li, Mei-Chia Chou, James Cheng-Chung Wei, Mei-Chen Lin, Yao-Min Hung, Renin Chang
Summary: This study found an increased risk of stroke, particularly hemorrhagic stroke, among patients with leptospirosis. The risk was higher for males and individuals aged 18 to 39, with the highest risk in the first two years after diagnosis. Age served as an effect modifier in the association between leptospirosis and new-onset stroke risk.
Article
Geriatrics & Gerontology
Oliver Todd, Oliver Johnson, Chris Wilkinson, Joe Hollinghurst, Tatendashe B. Dondo, Mohammad E. Yadegarfar, James P. Sheppard, Richard J. McManus, Chris P. Gale, Andrew Clegg
Summary: This study investigates the adherence to guideline recommendations for the management of hypertension in older people and explores the relationship between guideline adherence and overall health status. The results show that only around half of older people achieve the blood pressure targets set by the NICE within 1 year of hypertension diagnosis. The presence of atrial fibrillation, heart failure, and myocardial infarction is associated with a higher likelihood of achieving the target blood pressure, while factors such as care home residence, frailty, and comorbidity do not affect target attainment.
Article
Endocrinology & Metabolism
Jung-Chi Li, Po-Chung Cheng, Chien-Nin Huang, Li-Fen Jian, Ying-Syuan Wu, Chih-Li Lin
Summary: This study investigates the effect of adding the antihypertensive drug Amlodipine to standard diabetes therapy on glycemic control in patients with type 2 diabetes mellitus (T2DM). The results show that patients who received additional Amlodipine demonstrated significantly improved glycemic control compared to those who received standard diabetes therapy after 24 weeks.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Ophthalmology
Do Young Park, Mina Kim, Yoonjong Bae, Hyemin Jang, Dong Hui Lim
Summary: A nationwide cohort study discovered that newly diagnosed glaucoma patients have a higher risk of developing dementia, especially among older individuals. This study used authorized data provided by the Korean National Health Insurance Service (NHIS) to conduct a population-based retrospective cohort analysis. Analysis of the collected data revealed that glaucoma patients are at a greater risk of developing dementia, particularly among older individuals.
Article
Peripheral Vascular Disease
Costas Thomopoulos, Ioannis Andrikou, Dimitris Konstantinidis, Panagiotis Iliakis, Theodoros Kalos, Dimitrios Polyzos, Sotirios Drogkaris, Eirini Siafi, Dimitrios Tousoulis, George S. Stergiou, Costas Tsioufis
Summary: This study evaluated the differential outcomes of different hypertension phenotypes based on clinic and ambulatory blood pressure measurements. It found that isolated systolic hypertension (ISH) based on clinic blood pressure was associated with a higher incidence of cardiovascular events compared to isolated diastolic hypertension (IDH) and systolic/diastolic hypertension (SDH). Integration of clinic and ambulatory blood pressure measurements also increased the outcome incidence for ISH.
JOURNAL OF HYPERTENSION
(2021)
Article
Endocrinology & Metabolism
Shengxin Liu, Ralf Kuja-Halkola, Henrik Larsson, Paul Lichtenstein, Jonas F. Ludvigsson, Ann-Marie Svensson, Soffia Gudbjornsdottir, Magnus Tideman, Eva Serlachius, Agnieszka Butwicka
Summary: The study found that children with childhood-onset type 1 diabetes and comorbid neurodevelopmental disorders, particularly ADHD and intellectual disability, are associated with poor glycemic control and a higher risk of diabetic complications.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Article
Pharmacology & Pharmacy
Ou Wu, Jian Hang Leng, Xing Yu Zhang, Wei Liu, Hu Zhang, Fen Fang Yang, Jia Jia Li, Guo Zhong Zhang, Xi Lu
Summary: This study explored the role of the AR index as an indicator of obesity-related hypertension and found that the AR index outperformed FSA alone, indicating its importance for early diagnosis of obesity-related hypertension.
CLINICAL AND EXPERIMENTAL HYPERTENSION
(2022)
Article
Cardiac & Cardiovascular Systems
Nicklas Vinter, Pia Cordsen, Gregory Y. H. Lip, Emelia J. Benjamin, Ludovic Trinquart, Soren Paaske Johnsen, Lars Frost
Summary: Incident AF in patients with heart failure is associated with earlier hospital contact, more hospital contacts, and more hospital bed days. More evidence on interventions to prevent AF in heart failure and its subsequent burden is urgently needed.
Article
Endocrinology & Metabolism
Priya Prahalad, Victoria Y. Ding, Dessi P. Zaharieva, Ananta Addala, Ramesh Johari, David Scheinker, Manisha Desai, Korey Hood, David M. Maahs
Summary: A technology-enabled, team-based approach effectively decreased HbA(1c) levels in youth with T1D 12 months post diagnosis.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Cardiac & Cardiovascular Systems
Nicklas Vinter, Pia Cordsen, Gregory Y. H. Lip, Emelia J. Benjamin, Ludovic Trinquart, Soren Paaske Johnsen, Lars Frost
Summary: Incident AF in HF patients is associated with earlier hospital contact, more hospital contacts, and more hospital beddays.
Article
Oncology
Merav Fraenkel, Victor Novack, Yuval Mizrakli, Michael Koretz, Ethel Siris, Larry Norton, Tali Shafat, David B. Geffen
Summary: Women newly diagnosed with breast cancer tend to have higher bone mineral density (BMD) compared to women without breast cancer, suggesting that BMD may be a biomarker for breast cancer risk.
Article
Oncology
Seiki Hasegawa, Yasushi Shintani, Teruhisa Takuwa, Keisuke Aoe, Katsuya Kato, Nobukazu Fujimoto, Yasuhiro Hida, Masahiro Morise, Yasumitsu Moriya, Takao Morohoshi, Hidemi Suzuki, Masayuki Chida, Shunsuke Endo, Mitsutaka Kadokura, Meinoshin Okumura, Satoshi Hattori, Hiroshi Date, Ichiro Yoshino
Summary: A nationwide prospective registry for newly diagnosed and untreated pleural mesothelioma in Japan was conducted, and data on patients' survival were collected. The study found that surgery significantly prolonged overall survival, and tumor shape and thickness were important prognostic factors.
Review
Chemistry, Multidisciplinary
Suo-wen Xu, Iqra Ilyas, Jian-ping Weng
Summary: This review examines the impact of COVID-19 on endothelial cell function and provides a comprehensive summary of biomarkers associated with endothelial cell activation in COVID-19. COVID-19 is considered a vascular and endothelial disease, and several drugs have shown potential in improving clinical manifestations of patients. Further research using cellular and animal models can accelerate the discovery of new drugs targeting endothelial dysfunction in COVID-19 patients.
ACTA PHARMACOLOGICA SINICA
(2023)
Article
Surgery
Jiajing Yin, Shaoling Yang, Xiaojuan Zha, Zhenchun Miao, Chunjun Sheng, Peng Yang, Xingchun Wang, Shen Qu
Summary: This study investigated the association of irisin levels with glucose metabolism in patients with obesity before and after laparoscopic sleeve gastrectomy. The results showed that anthropometric measurements, body fat index, and metabolic parameters significantly improved after 3 months of surgery. Baseline irisin levels were higher in obesity with elevated fasting glucose compared to normal glucose. After surgery, irisin levels decreased and were negatively correlated with postprandial glucose at 3 months.
Article
Engineering, Biomedical
Liuliu Xu, Haifan Gong, Yun Zhong, Fan Wang, Shouxin Wang, Lu Lu, Jinru Ding, Chen Zhao, Wenchao Tang, Jie Xu
Summary: Manual acupuncture (MA) is a widely used therapy method, but there is no convenient solution for measuring stimulation parameters. Therefore, a real-time monitoring system for MA operation is urgently needed. We propose a domain adaptation framework to alleviate domain shift and achieve better performance using an adaptive orientation-based approach. We also provide a benchmark dataset to facilitate the development of real-time MA monitoring. Extensive experiments demonstrate the superiority of our proposed methods in hand acupuncture movement and frequency estimation. The application prospects of this framework in MA clinical work include studying the dose-effect relationship and enhancing operation safety. Our data is publicly available at https://github.com/SHUTCM-tcme/SUTCM-AM.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Endocrinology & Metabolism
Yongwen Zhou, Mao Zheng, Hongrong Deng, Xueying Zheng, Sihui Luo, Daizhi Yang, Xiaodong Mai, Wen Xu, Jinhua Yan, Jianping Weng
Summary: This study aimed to capture glycemic fluctuation patterns and quantify contributions of basal and postprandial glucose increment to HbA1c levels among adults with type 1 diabetes. The results showed that basal hyperglycemia better predicts overall glycemic control than postprandial hyperglycemia. The relative contribution of basal hyperglycemia increased gradually with HbA1c increasing, and the strategy for insulin titration among type 1 diabetes patients varies with different levels of glycemic control.
JOURNAL OF DIABETES
(2023)
Article
Medicine, General & Internal
Jing Gao, Zhongzhou Xiao, Chao Chen, Hu-Wei Shi, Sen Yang, Lei Chen, Jie Xu, Weiwei Cheng
Summary: This study developed a reliable screening model for small for gestational age (SGA) at 21-24 gestational weeks. Through a retrospective observational study, independent risk factors for SGA were identified, and a predictive model consisting of 12 variables was established. The model can predict SGA fetuses early and provide comprehensive prenatal care and accurate diagnosis, intervention, and delivery for clinical healthcare staff.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Endocrinology & Metabolism
Meili Cai, Yuqin Zhang, Jingyang Gao, Diliqingna Dilimulati, Le Bu, Xiaoyun Cheng, Lei Du, Donglei Zhou, Jiangfang Zhu, Shen Qu, Manna Zhang
Summary: This study aimed to explore the predictors of menstrual recovery in PCOS women with obesity following LSG. The results showed that time from PCOS diagnosis, BMI, and TT levels at baseline were independently and negatively associated with menstrual recovery within 6 months after LSG in PCOS patients with obesity.
DIABETES METABOLIC SYNDROME AND OBESITY
(2023)
Article
Biochemical Research Methods
Jiali Pang, Bilin Liang, Ruifeng Ding, Qiujuan Yan, Ruiyao Chen, Jie Xu
Summary: We propose a denoised multi-omics integration framework, including a distribution-based feature denoising algorithm (FSD) for dimension reduction, and an Attention Multi-Omics Integration (AttentionMOI) framework for cancer prognosis prediction and subtype identification. We demonstrate that FSD improves model performance in survival prediction and kidney cancer subtype identification using single omic or multi-omics data in 15 TCGA cancers. Our integration framework AttentionMOI outperforms machine learning models and current multi-omics integration algorithms with high dimensions of features. Furthermore, FSD identifies features associated with cancer prognosis that can be considered as biomarkers.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Endocrinology & Metabolism
Ping Ling, Daizhi Yang, Chaofan Wang, Xueying Zheng, Sihui Luo, Xubin Yang, Hongrong Deng, Wen Xu, Jinhua Yan, Jianping Weng
Summary: This study aimed to derive a best-fitting model to calculate glucose management indicator (GMI) from mean blood glucose (MBG) obtained from continuous glucose monitoring (CGM) among pregnant women with type 1 diabetes mellitus (T1DM). After analyzing the CGM data and HbA1c levels of 98 pregnant women with T1DM, a pregnancy-specific GMI-MBG equation was developed. This equation should be recommended for antenatal clinical care.
DIABETES-METABOLISM RESEARCH AND REVIEWS
(2023)
Article
Biochemistry & Molecular Biology
Hui You, Xin Wen, Xingchun Wang, Cuiling Zhu, Haibing Chen, Le Bu, Jun Zhang, Shen Qu
Summary: This study found that liver fatty acid binding protein 1 (FABP1) is degraded through ubiquitin modification mediated by Derlin-1. Overexpression of Derlin-1 inhibits lipid metabolism and alleviates lipid deposition, which may be a potential therapeutic strategy for nonalcoholic fatty liver disease (NAFLD).
FREE RADICAL BIOLOGY AND MEDICINE
(2023)
Review
Computer Science, Information Systems
Ruiyao Chen, Jiayuan Chen, Sen Yang, Shuqing Luo, Zhongzhou Xiao, Lu Lu, Bilin Liang, Sichen Liu, Huwei Shi, Jie Xu
Summary: This study systematically examined the prognostic value of machine learning (ML) in patients with COVID-19. The results demonstrated the satisfactory performance of ML in predicting prognostic outcomes, suggesting its potential value in supporting clinical decision-making.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Endocrinology & Metabolism
Muthukumaran Jayachandran, Shen Qu
Summary: Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide, with a strong link to obesity. Dysbiosis of the gut microbiota is associated with the development of NAFLD, and interventions such as probiotics can be beneficial for patients.
REVIEWS IN ENDOCRINE & METABOLIC DISORDERS
(2023)
Article
Multidisciplinary Sciences
Xuhong Hou, Limin Wang, Dalong Zhu, Lixin Guo, Jianping Weng, Mei Zhang, Zhiguang Zhou, Dajin Zou, Qiuhe Ji, Xiaohui Guo, Qiang Wu, Siyu Chen, Rong Yu, Hongli Chen, Zhengjing Huang, Xiao Zhang, Jiarui Wu, Jing Wu, Weiping Jia
Summary: The current epidemic status of diabetic retinopathy in China is unclear. A national survey was conducted to determine the prevalence and associated factors of diabetic retinopathy. The results showed a prevalence rate of 16.3% for diabetic retinopathy and 3.2% for vision-threatening diabetic retinopathy, with significant regional differences.
NATURE COMMUNICATIONS
(2023)
Article
Endocrinology & Metabolism
Jinru Ding, Yingying Luo, Huwei Shi, Ruiyao Chen, Shuqing Luo, Xu Yang, Zhongzhou Xiao, Bilin Liang, Qiujuan Yan, Jie Xu, Linong Ji
Summary: This study aimed to develop machine learning models to predict the 3-year atherosclerotic cardiovascular disease risk in Chinese type 2 diabetes mellitus patients. The performance of five models, including logistic regression, support vector machine, gradient boosting decision tree, random forest and adaptive boosting, was evaluated and random forest showed the highest discrimination ability. The results can be used to personalize treatment and maximize the benefits of medical interventions.
JOURNAL OF DIABETES INVESTIGATION
(2023)
Review
Biochemistry & Molecular Biology
Xiumei Wu, Mengyun Xu, Mengya Geng, Shuo Chen, Peter J. Little, Suowen Xu, Jianping Weng
Summary: The increasing prevalence of noncommunicable diseases (NCDs) has become a significant global public health burden. Metabolic diseases, the most common form of NCDs, have life-threatening cardiovascular complications and affect people of all ages. Protein posttranslational modification (PTM) greatly enhances the functional diversity of proteins and plays a crucial role in common metabolic diseases such as diabetes, obesity, and fatty liver diseases. Understanding the mechanisms of PTMs in metabolic diseases will provide new insights for therapeutic intervention and improvement of therapies.
SIGNAL TRANSDUCTION AND TARGETED THERAPY
(2023)
Article
Biochemical Research Methods
Haifan Gong, Yumeng Zhang, Chenhe Dong, Yue Wang, Guanqi Chen, Bilin Liang, Haofeng Li, Lanxuan Liu, Jie Xu, Guanbin Li
Summary: We propose a novel Global-Local Graph Neural Network powered by Unbiased Curriculum Learning for the Protein Thermodynamic Stability Prediction (PTSP) task. Our method utilizes a Siamese graph neural network to extract protein features before and after mutation. Additionally, a local feature transformation module is designed to focus on the mutated site. To address the bias in the model caused by noisy samples, an unbiased curriculum learning method is introduced. Experimental results show that our method outperforms advanced protein stability prediction methods and state-of-the-art learning methods for regression prediction tasks.
