1.Risk Assessment for Ramadan Fasting in People With Diabetes in Hospital-Based Diabetes Clinics Using the Updated 2026 IDF-DAR Risk Calculator
Raja Nurazni Raja Azwan ; Chin Voon Tong ; Lisa Mohamed Nor ; Marisa Khatijah Borhan ; Syarifah Syahirah Syed Abas ; Poh Shean Wong ; Ying Jie Tan ; Shartiyah Ismail ; Eunice Yi Chwen Lau ; Yueh Chien Kuan ; Noor Hafis Md Tob ; Shu Teng Chai ; Pei Lin Chan ; Xe Hui Lee ; Wei Wei Ng ; Jin Hui Ho ; Miza Hiryanti Zakaria ; Rabeah Md Zuki ; Wan Mohd Hafez Wan Hamzah ; Melissa Vergis ; Choon Peng Sun ; Vanusha Devaraja Pillai ; Chee Koon Low ; Shazatul Reza Mohd Redzuan ; Xin-Yi Ooi ; Siti Sanaa Wan Azman ; Deviga Lachumanan ; Saiful Shahrizal Shudim ; Zanariah Hussein
Journal of the ASEAN Federation of Endocrine Societies 2026;41(S1):42-43
Introduction:
The 2021 IDF-DAR risk calculator had been previously
evaluated in multiple studies and subsequently widely
accepted and applied in clinical practice as a practical
standardized tool for patient risk stratification. Recently
updated, the 2026 IDF-DAR Risk calculator enables a more individualized, evidence-related evaluation of patientrelated and disease-related risk factors, incorporating
modern diabetes technologies, including continuous
glucose monitoring (CGM), automated insulin delivery
(AID) systems, and advanced insulin formulations to
enhance risk stratification. This tool allows medical
professionals to tailor Ramadan practices based on overall
factors toward promoting safe fasting.
Methodology:
This prospective multicentre observational study recruited
adults with Type 1 and Type 2 diabetes attending public
hospitals nationwide. People with diabetes (PwD) intending
to perform Ramadan fasting were invited to participate
and assessed using the 2026 IDF-DAR Risk Calculator in
the 6-week pre-Ramadan period between 30th January and
19th March 2026.
Results:
A total of 458 PwD were evaluated and stratified into low
(15.7%), moderate (41%), and high risk (43.3%) categories.
Most participants had Type 2 diabetes (83.6%), with 60.3%
having a disease duration exceeding 10 years and 43%
exhibiting poor glycemic control (hemoglobin A1c >9%).
Insulin therapy was used by 76.4% of participants, including
two individuals with Type 1 diabetes using AID systems.
Most participants reported no recent hypoglycemia (76.4%),
81.0% performed glucose monitoring, and 3.3% used CGM.
Severe comorbidities were uncommon, with 1.1% having
unstable macrovascular disease and 4.4% advanced chronic
kidney disease (estimated glomerular filtration rate <30).
Notably, 72.2% received structured Ramadan education.
Conclusion
Majority of PwD attending tertiary diabetes clinics were
in the moderate- to high-risk category and intended to
fast despite medical advice against fasting in some cases.
Although most participants were on insulin therapy,
hypoglycemia was low in the pre-Ramadan period.
Integration of modern technologies, advanced insulin
therapies, and structured education may support safer
fasting practices.
Risk Assessment
;
Diabetes Mellitus
;
Hospitals
;
Fasting
2.Dexmedetomidine Improves the Therapeutic Efficacy Against Mammary Tumors in Stress-exposed Mice by Inhibiting the TLR4/NF-κB Pathway
Chuyi ZHANG ; Shan MENG ; Xin XU ; Peng FAN ; Xunyuan MAO ; Yuhui HUANG ; Sanqing JIN
Journal of Sun Yat-sen University(Medical Sciences) 2026;47(4):601-612
ObjectiveThis study aimed to investigate whether dexmedetomidine (Dex) alleviates stress-induced mammary tumor progression in mice by inhibiting the TLR4/NF‑κB signaling pathway, and to examine its effects on anxiety‑depression‑like behaviors and stress hormone levels. MethodsAn orthotopic EMT6 mammary tumor model was established in mice, and chronic mild stress (CMS) was applied to induce anxiety‑depression‑like states. The mice were divided into six groups: naive, tumor, CMS, CMS+tumor, CMS+tumor+Dex, and CMS+tumor+Vehicle groups. Behavioral changes were evaluated using the open field test and tail suspension test. Plasma stress hormone levels were measured by high‑performance liquid chromatography. Western blot and RT‑qPCR were performed to detect the expression of TLR4, p‑NF‑κB p65, p‑IκBα, and inflammatory cytokines (IL‑6, IL‑1β, TNF‑α) in tumor tissues. In vitro, EMT6 cells were treated with cortisol to mimic the stress-related microenvironment, and the effects of Dex on the TLR4/NF‑κB pathway were assessed by CCK‑8, Western blot, and RT-qPCR. ResultsTumor‑bearing mice exhibited significant anxiety‑depression‑like behaviors (P<0.05), along with markedly elevated plasma levels of norepinephrine, epinephrine, and cortisol (P<0.05). Chronic stress further aggravated these behavioral abnormalities and promoted tumor growth (P<0.05). Dexmedetomidine intervention significantly improved anxiety‑depression‑like behaviors (P<0.05) and lowered peripheral stress hormone levels (P<0.05) in stress‑exposed tumor‑bearing mice. In vitro experiments demonstrated that cortisol treatment activated the TLR4/NF‑κB pathway (P<0.001) and upregulated the expression of inflammatory cytokines (P<0.05 in EMT6 cells, whereas dexmedetomidine effectively suppressed this activation (P<0.001). In the in vivo model, dexmedetomidine treatment downregulated the expression of TLR4, p‑NF‑κB p65, p‑IκBα, and pro‑inflammatory cytokines in tumor tissues (P<0.001) and significantly inhibited tumor growth (P<0.05). ConclusionDexmedetomidine inhibits the TLR4/NF‑κB signaling pathway, alleviates stress‑induced inflammatory responses, improves anxiety- and depression‑ like behaviors, reduces stress hormone levels, and suppresses mammary tumor progression. These findings provide an experimental basis for understanding anxiety- and depression- associated breast tumor progression and suggest that Dexmedetomidine and the TLR4/NF-κB pathway may serve as potential therapeutic targets.
3.Role and mechanism of platelet-derived growth factor BB in repair of growth plate injury
Hongcheng PENG ; Guoxuan PENG ; Anyi LEI ; Yuan LIN ; Hong SUN ; Xu NING ; Xianwen SHANG ; Jin DENG ; Mingzhi HUANG
Chinese Journal of Tissue Engineering Research 2025;29(7):1497-1503
BACKGROUND:In the initial stage of growth plate injury inflammation,platelet-derived growth factor BB promotes the repair of growth plate injury by promoting mesenchymal progenitor cell infiltration,chondrogenesis,osteogenic response,and regulating bone remodeling. OBJECTIVE:To elucidate the action mechanism of platelet-derived growth factor BB after growth plate injury. METHODS:PubMed,VIP,WanFang,and CNKI databases were used as the literature sources.The search terms were"growth plate injury,bone bridge,platelet-derived growth factor BB,repair"in English and Chinese.Finally,66 articles were screened for this review. RESULTS AND CONCLUSION:Growth plate injury experienced early inflammation,vascular reconstruction,fibroossification,structural remodeling and other pathological processes,accompanied by the crosstalk of chondrocytes,vascular endothelial cells,stem cells,osteoblasts,osteoclasts and other cells.Platelet-derived growth factor BB,as an important factor in the early inflammatory response of injury,regulates the injury repair process by mediating a variety of cellular inflammatory responses.Targeting the inflammatory stimulation mediated by platelet-derived growth factor BB may delay the bone bridge formation process by improving the functional activities of osteoclasts,osteoblasts,and chondrocytes,so as to achieve the injury repair of growth plate.Platelet-derived growth factor BB plays an important role in angiogenesis and bone repair tissue formation at the injured site of growth plate and intrachondral bone lengthening function of uninjured growth plate.Inhibition of the coupling effect between angiogenesis initiated by platelet-derived growth factor BB and intrachondral bone formation may achieve the repair of growth plate injury.
4.Analysis of urban cancer screening results in Qinghai Province from 2019 to 2024
Peng WENGANG ; Jin SHENGYAN ; Qiao WENJIE ; Cai BAOJIA ; Yu PENGJIE ; Zhu SHENGMAO ; Han JINGJUN ; Li XILING ; Chang HAODONG ; Sun DEXIAN ; Song YINGHENG ; Rong QINGXI ; Zhang CHENGWU ; Ma XIAOMING
Chinese Journal of Clinical Oncology 2025;52(18):944-949
Objective:To analyze the screening results of the Urban Cancer Early Diagnosis and Treatment Project in Qinghai Province from 2019 to 2024.Methods:A summary and statistical analysis were conducted on six years of screening data from the Urban Cancer Early Dia-gnosis and Treatment Program in Qinghai Province,with the high-risk rate,screening rate,and detection rate calculated separately for each type of cancer.Results:From 2019 to 2024,56,882 high-risk individuals were identified.The high-risk rates for lung,colorectal,breast,up-per gastrointestinal,and liver cancer were 22.02%,21.57%,14.23%,13.52%,and 6.10%,respectively.Overall,13,592 individuals com-pleted clinical screening,with detection rates of 0.32%for lung cancer,0.41%for liver cancer,0.08%for precancerous gastric lesions,3.63%for precancerous colorectal lesions,0.08%for esophageal cancer,0.16%for gastric cancer,and 0.14%for colorectal cancer.Conclusions:The implementation of the Urban Cancer Early Diagnosis and Treatment Program in Qinghai Province aids in the early detection of cancer,improves early diagnosis and survival rates,and reduces mortality.Nevertheless,due to low public awareness and limited participation,en-hancements in program management and public outreach are required.
5.Analysis of project funding in the direction of geriatric medicine of the National Natural Science Foundation of China from 2000 to 2020
Xuelin SUN ; Yunpeng YU ; Yatong ZHANG ; Dejun LIU ; Xudong PENG ; Houyuan HUANG ; Pengfei JIN
Chinese Journal of Geriatrics 2025;44(4):544-548
Objective:To examine the funding landscape of the National Natural Science Foundation of China(NSFC)concerning research focused on the elderly as a specific demographic group.It seeks to analyze prevailing research hotspots and to offer insightful research ideas for scholars in this field.Methods:The study employed a retrospective research design.It involved retrieving data on approved projects related to the elderly from the NSFC's official database, covering the period from 2000 to 2020.The data set included variables such as funding year, project title, project category, supporting institution, and funding amount(application codes: H1901, H1902, H1903).Statistical analysis was conducted using Excel software, while visual analysis was performed using CiteSpace software.Results:Between 2000 and 2020, a total of 710 projects focused on geriatrics received funding, amounting to RMB 361, 032, 300, 000.This period exhibited a fluctuating upward trend in both the number of projects and the total funding amount.The primary funding categories were face-to-face projects and youth science fund projects, which together accounted for 44.4%(315/710), 34.4%(244/710)respectively.The distribution of project-relying units demonstrated significant regional imbalance, with Beijing, Zhejiang, Jiangsu, and Shanghai being the predominant areas.Notably, Nanjing Medical University, Peking University, and Shanghai Jiao Tong University ranked as the top three institutions, with funding percentages of 5.9%(42/710), 5.4%(38/710), and 4.5%(32/710), respectively.The research themes encompassed nucleoplasmic interactions, brain networks, and bioinformatics, among others.Conclusions:The NSFC has consistently provided funding for in-depth research in the critical field of geriatrics.The primary research directions focus on aspects such as the mechanisms of aging and the pathogenesis of neurological diseases associated with aging.With the application of innovative technologies and methodologies, significant breakthroughs and achievements are anticipated in geriatrics, contributing to the improvement of health outcomes and the enhancement of the quality of life for the elderly.
6.Applications of artificial intelligence in the diagnosis and treatment of lung cancer
Kunkun GE ; Xin JIN ; Jianguo ZHONG ; Xiaoyue SUN ; Huangsheng XIE ; Sibo PENG ; Jingliang GAN ; Lingling ZU ; Song XU
Chinese Journal of Oncology 2025;47(11):1057-1065
Lung cancer is one of the malignant tumours with the highest morbidity and mortality rates worldwide today, posing a major threat to human health. Accurate diagnosis and standardised treatment play a crucial role in improving the survival rate of lung cancer patients. In recent years, the rapid rise of artificial intelligence (AI) has brought about significant changes in the medical field, providing a new diagnostic and treatment model for lung cancer, and making a series of breakthroughs in lung cancer diagnostic imaging, pathological diagnosis, surgical oncology, radiotherapy, and drug development and treatment. This article introduces the current status of AI application in the field of lung cancer diagnosis and treatment, and extensively discusses the current challenges and future prospects, hoping to provide references and suggestions for future clinical practice.
7.Arthroscopic suture anchor fixation for acute bony Bankart lesions: excellent bone healing with a low complication rate
Qiangqiang LI ; Peng SUN ; Yu ZHANG ; Kai FU ; Yao YAO ; Jianghui QIN ; Jin XIONG ; Qing JIANG ; Dongyang CHEN
Chinese Journal of Orthopaedics 2025;45(8):523-530
Objective:To investigate the clinical outcomes of arthroscopic suture anchor fixation for acute bony Bankart lesions.Methods:Data of 49 patients with acute bone Bankart injury treated with suture anchor fixation under arthroscopy at the Affiliate Nanjing Drum Tower Hospital of Nanjing University School of Medicine from February 2019 to July 2024 were retrospectively analyzed, including 34 males and 15 females, aged 46.4±17.7 years (range, 18-81 years). Body mass index was 26.3±4.2 kg/m 2 (range, 19.8-37.9 kg/m 2). There were 17 patients with left shoulder and 32 patients with right shoulder. The time from injury to operation was 12.6±10.5 d (range, 1-50 d). CT three-dimensional reconstruction showed that the area of bone defect accounted for 20.1%±11.4% (range, 8%-49%) of the glenoid area. According to the degree of bone defect, there were 38 cases in the bone defect area ≤25% group and 11 cases in the bone defect area >25% group. All 49 patients received shoulder arthroscopic fixation with wire anchor. All 49 the patients were treated under shoulder arthroscopy using suture anchor technique. Using American Shoulder & Elbow Surgeon (ASES) score, University of California, Los Angeles (UCLA) score, Rowe score as well as shoulder range of motion to evaluate shoulder function. The position and healing of the fracture mass were evaluated with shoulder joint CT and three-dimensional reconstruction at immediate and final follow-up. Results:The incision healed in one stage and no infection occurred in all patients. All 49 patients were followed up for a period of 3 to 81 months, with an average follow-up of 23.8±20.2 months. At the final follow-up, the mean forward elevation, external rotation, and internal rotation improved from 126.1°±20.3°, 36.9°±14.0°, and 10±2 preoperatively to 167.1°±15.5°, 66.8°±8.3°, and 6±1 at the last follow-up, respectively ( P<0.05). At the final follow-up, the mean ASES score, UCLA score, and Rowe score were all significantly improved from 41.3±11.9, 14.2±6.1 and 46.9±14.7 preoperatively to 89.7±7.8, 31.5±3.6 and 92.4±7.4, respectively ( P<0.05). The differences between the final follow-up and preoperative values for forward elevation in the bone defect area >25% group and the bone defect area ≤25% group were 43°±20° and 41°±21°, respectively. The differences in lateral external rotation were 34°±8° and 29°±18°, while the differences in internal rotation (measured by hand-behind-back reach) were 5±2 and 4±2, respectively. None of these differences were statistically significant. The differences between the final follow-up and preoperative scores in the bone defect area >25% fracture fragment group and the bone defect area ≤25% group were as follows: ASES score, 50.9±14.4 vs. 47.7±12.8; UCLA score, 18.4±3.2 vs. 17.0±6.9; and Rowe score, 40.5±13.5 vs. 46.9±15.0. None of these differences were statistically significant. CT examination at the last follow-up showed that all fractures were healed, all patients in the bone defect area ≤25% group achieved good reduction, and 3 patients in the bone defect area >25% group had step-offs on the glenoid surface. Postoperative shoulder adhesion occurred in 5 patients, which was improved after intensive abduction and external rotation exercise. Conclusions:Arthroscopic suture anchor fixation is effective for the bone defect area ≤25% bony Bankart lesions, offering advantages of minimal invasiveness and rapid recovery. For lesions involving more than the bone defect area 25% of the glenoid surface, enhanced fixation strength is recommended to prevent fracture fragment displacement.
8.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
9.Mechanism of action of Guizhi Fuling Pill in treating chronic prostatitis based on network pharmacology and molecular docking
Ji SUN ; Xinfeng XIA ; Peng JIN ; Wei ZHONG ; Yanlin ZHAO ; Qinglei HANG ; Guohui ZHU
Journal of Clinical Medicine in Practice 2025;29(20):72-77
Objective To investigate the mechanism of action of Guizhi Fuling pill in treating chro-nic prostatitis(CP)using network pharmacology and molecular docking techniques.Methods Compo-nents of Guizhi Fuling pill were collected from the Traditional Chinese Medicines Systems Pharmacolo-gy Platform(TCMSP),and target information was obtained from the SwissTarget database.Targets for chronic prostatitis were screened from the GeneCards,OMIM,CTD,and DisGeNET disease data-bases.A protein-protein interaction(PPI)network was established and analyzed.Gene ontology(GO)functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway en-richment analysis were performed using the DAVID database.The Cytoscape software was employed to construct an association network linking the components of Guizhi Fuling Pill,their targets,and the targets of chronic prostatitis.Molecular docking was conducted using AutoDock Vina software to verify the binding stability between the components of Guizhi Fuling pill and their targets.Results After screening and deduplication in the TCMSP database,76 components of Guizhi Fuling Pill were iden-tified,and 655 component targets were retrieved from the SwissTarget database.There were 190 intersecting targets between GuizhiFuling Pill and chronic prostatitis.GO analysis indicated that Guizhi Fuling Pill may treat chronic prostatitis by participating in processes such asapoptosis,ATP binding,and signal transduction.KEGG analysis suggested that Guizhi Fuling Pill can regulate pathways such as phosphatidylinositol 3-kinase(PI3K)/protein kinase B(AKT)and mitogen-acti-vated protein kinase(MAPK)to intervene in chronic prostatitis.Molecular docking data demonstra-ted that the components of Guizhi Fuling pill exhibited stable conformations with their targets.Con-clusion The components of Guizhi Fuling Pill can stably bind to their targets and exert therapeutic effects on chronic prostatitis through multiple targets and pathways.
10.Radiomics combined with interpretable machine learning in predicting the response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Jianfeng LI ; Meijuan SUN ; Haiyan PENG ; Wenyou HU ; Fu JIN ; Zhaoxia LI ; Ning WANG
Chinese Journal of Medical Physics 2025;42(5):625-631
The efficacy of preoperative neoadjuvant chemoradiotherapy(nCRT)in locally advanced rectal cancer(LARC)is predicted using radiomic features of the target areas in radiotherapy for rectal cancer and an interpretable machine learning model.The clinical data are collected from 290 LARC patients who are divided into effective and ineffective groups based on tumor regression grade.The extracted radiomic features and clinicopathological data are used to develop prediction models.The optimal model is determined based on AUC performance evaluation,and the explanatory analysis is conducted using nomogram and decision curve.A total of 223 patients are included in the study,with 48 in the effective group.There are 156 patients in the training set(34 in the effective group)and 67 patients in the validation set(14 in the effective group).The nomogram model shows the best performance,with AUC of 0.858 in the training set and 0.844 in internal test set,and decision curve analysis demonstrated its superior net clinical benefit across most threshold ranges than other models.Combining radiomics and clinical variables,the nomogram can effectively predict nCRT outcomes and support clinical decision-making.


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