Diabetic nephropathy （DN） is one of the most common and severe microvascular complications of diabetes， with a complex pathogenesis involving immune inflammatory responses， oxidative stress， apoptosis， glomerulosclerosis， renal interstitial fibrosis， and other pathological processes. In recent years， numerous animal or cell model experiments have revealed that the transforming growth factor-β （TGF-β）/mothers against decapentaplegic homolog （Smad）， phosphoinositide 3-kinase （PI3K）/ protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， mitogen-activated protein kinase （MAPK）， AMP-activated protein kinase （AMPK）， nuclear factor-κB （NF-κB）， Janus kinase （JAK）/signal transducer and activator of transcription （STAT）， neurogenic locus notch homolog protein （Notch）， nuclear factor E₂-related factor 2 （Nrf2）， secretory glycoprotein （Wnt）/β-catenin， and other classical signaling pathways play important roles in the occurrence and development of DN. Traditional Chinese medicines， as natural drugs， possess characteristics such as multiple components， multiple targets， and few adverse reactions， demonstrating unique advantages in regulating the aforementioned signaling pathways and improving renal pathological changes. This review summarized recent research progress on the intervention of DN through the regulation of the aforementioned signaling pathways by single compounds and formulas of traditional Chinese medicine， focusing on their mechanisms of action in regulating immune inflammatory responses， inhibiting renal fibrosis， oxidative stress， improving metabolic disorders， and other aspects. The aim is to provide theoretical references for a deeper understanding of the modern pharmacological basis and clinical application of traditional Chinese medicine in the treatment of DN.

Objective To investigate the diagnositic performance of cardiac myosin-binding protein C (cMyBP-C) in cardiovascular immune-related adverse events (CV-irAE), and to evaluate its potential as a novel biomarker of myocardial injury. Methods Cancer patients receiving immune checkpoint inhibitors (ICI) therapy at Zhongshan Hospital, Fudan University, from January 2025 to September 2025 were enrolled. Patients were divided into the positive group (high-sensitivity cardiac troponin T [hs-cTnT]≥99th percentile [14 pg/mL], n＝78) and the negative group (hs-cTnT＜99th percentile, n＝56). A control group (n＝231) consisted of cancer patients without prior anti-tumor therapy and healthy individuals. Levels of cMyBP-C, hs-cTnT, creatine kinase isoenzyme-MB (CK-MB), and N-terminal pro-brain natriuretic peptide (NT-proBNP) were measured. The screening reference value of cMyBP-C was established using the 99th percentile method. Diagnositic performance was evaluated by receiver operating characteristic (ROC) curves and area under the curve (AUC). The association between cMyBP-C level and myocardial edema assessed by cardiac magnetic resonance (CMR) was analyzed using Spearman correlation. Results The difference in cMyBP-C levels among the three groups was statistically significant (P＜0.001). Based on the 99th percentile of the control group, the screening reference value of cMyBP-C was determined to be 5.86 pg/mL. ROC curves showed that cMyBP-C achieved an AUC of 0.919 (95%CI 0.898–0.939) for detecting the risk of CV-irAE, comparable to CK-MB (AUC＝0.917, 95%CI 0.896–0.939, P＝0.682) and superior to NT-proBNP (AUC＝0.876, 95%CI 0.850–0.902, P＜0.001). After excluding non-cardiovascular adverse events, the AUC of cMyBP-C increased to 0.934, CK-MB was 0.893, and NT-proBNP was 0.877. Spearman correlation analysis revealed that among patients with ICI-associated myocarditis (n＝21), cMyBP-C level was positively correlated with the extent of myocardial edema assessed by CMR ( ρ＝0.64, P＝0.002). Conclusions cMyBP-C is significantly elevated in patients with CV-irAEs, demonstrating diagnositic performance comparable to or better than conventional biomarkers, and reflecting the burden of myocardial inflammation. These findings suggest that cMyBP-C may serve as a valuable complementary diagnositic biomarker for CV-irAEs.

Objective To evaluate the gap between China's top-tier medical institutions and top-tier international medical institutions,and to provide references for the construction of first-class medical science discipline in China.Methods Using globally recognized rankings of medical institutions,we selected 24 top-tier international medical institutions and 11 top-tier Chinese medical institutions.Publicly available,general,and comparable data on indicators were collected to analyze the performance and gaps between top-tier international and Chinese medical institutions in human resources development,talent cultivation,scientific research,social services,and discipline construction.Results In the field of medicine,the largest gap between top-tier international and Chinese medical institutions was in high-level talent.Specifically,the average numbers of individuals who are Clarivate Analytics'Highly Cited Researchers,who are Nobel Prize laureates in Physiology or Medicine,and who serve on advisory boards or editorial boards of top medical journals,and who rank among the Top 2 000 Medicine Scientists were 1.00,0.09,0.45 and 4.00,respectively,among top-tier Chinese medical institutions,while those of the top-tier international medical institutions were 131.46,118.25,9.72,and 6.76 times,respectively,those of the Chinese medical institutions.The second largest gap was in social services and medical innovation.The average proportion of industrial collaboration papers and the number of clinical trials of China's top-tier medical institutions were 1.51％and 1 851,respectively,while those of international top-tier medical institutions were 3.62 and 1.87,times,respectively,those of top-tier Chinese medical institutions.However,the average number of(untranslated)patents held by top-tier international medical institutions was only 15％ of that of China's top-tier medical institutions.The third largest gap was in scientific research.The average number of papers published in New England Journal of Medicine,Journal of the American Medical Association,The Lancet,and British Medical Journal,the percentage of hot papers in papers included in Web of Science,the percentage of highly cited papers,the percentage of international collaboration papers,the total number of citations per paper,category normalized citation impact(CNCI),and the number of publications of top-tier Chinese medical institutions were 78,0.03％,1.39％,22.55％,19.61,1.26,30 706,while those of the top-tier international medical institutions were 6.96,2.66,2.57,2.15,1.83,1.58 and 1.54 times those of the Chinese medical institutions,respectively.However the average percentage of zero-citation papers of top-tier international medical institutions was only 71％of that of China's top-tier medical institutions.Furthermore,in discipline development,the average overall scores of the Times Higher Education(THE)and QS rankings for medicine-related disciplines of top-tier Chinese medical institutions were 72.84 and 69.30,respectively,while those of top-tier international medical institutions were 1.38 and 1.21 times those of the Chinese medical institutions.However,in terms of talent cultivation,the average number of students of China's top-tier medical institutions was 10724,which is roughly double that of international institutions.Conclusion Currently,China's top-tier medical institutions are still in a basic stage that emphasizes the quality of talent cultivation and medical services.There is considerable room for development and potential for catching up in multiple aspects,especially in high-level talent,medical research,and innovation.It is recommended that the construction experience of top-tier international medical institutions should be fully utilized to build China's first-class medical science discipline.

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Peri-implantitis is a pathologic condition associated with dental plaque that occurs in the implant tissue and is characterized by inflammation of the mucous membrane surrounding the implant, followed by the progressive loss of supporting bone. In this study, a case of guided bone regeneration therapy based on plaque control of peri-implant inflammation was reported. Four years after surgery for the left second premolar implant, the patient presented with "left lower posterior tooth swelling and discomfort for more than 2 years". The X-ray periapical film showed a decrease in distal bone mineral density of implant, and the clinical diagnosis was peri-implantitis of the left second premolar. Implants underwent guided bone regeneration and regular periodontal maintenance treatment. Re-examination at 3.5 months, 11 months, 18 months, and 7 years showed that the alveolar bone height and bone mineral density were stable, and the periodontal depth became shallow. However, the gingival recession was mild. In the present case, follow-up at 7 years demonstrated that the clinical periodontal indexes could be remarkably improved after complete periodontal treatment for peri-implantitis, and the alveolar bone could be well restored and regenerated.
Humans ; Peri-Implantitis/etiology* ; Follow-Up Studies ; Bone Regeneration ; Guided Tissue Regeneration, Periodontal/methods* ; Dental Plaque/prevention & control* ; Male ; Female ; Dental Implants/adverse effects*

AIM:To investigate the role of S100 calcium-binding protein A8(S100A8)in a canine model of atrial fibrillation(AF)induced by obstructive sleep apnea(OSA).METHODS:Ten adult Beagle dogs were randomly as-signed to OSA(n=5)and control(n=5)groups.The OSA model was established by daily tracheal intubation with alternat-ing airway obstruction and ventilation recovery for 4 h per day,sustained over 12 weeks.Model validation was conducted through arterial blood gas analysis,airway pressure monitoring,and esophageal pressure measurements.Open-chest elec-trophysiological studies were performed to assess atrial effective refractory period(ERP),dispersion of ERP(dERP),and AF inducibility.Tandem mass tag-based quantitative proteomics was used to identify differentially expressed proteins in atrial tissue.Key protein expression and localization were verified using immunohistochemistry and immunofluorescence.RESULTS:Compared with the control group,the OSA group exhibited significantly lower arterial blood pH and partial pressure of oxygen,and higher partial pressure of carbon dioxide in arterial blood,confirming successful model establish-ment.Histopathological analysis revealed disorganized cardiomyocyte architecture,fatty degeneration,inflammatory cell infiltration,and a significant increase in myocardial fibrosis in the OSA group(P<0.05).Electrophysiological data showed increased AF inducibility and dERP,and decreased ERP(P<0.05).Proteomic analysis identified 267 differen-tially expressed proteins,including 128 up-regulated and 139 down-regulated proteins.Immunohistochemical analysis showed significant upregulation of S100A8,S100A9,myeloperoxidase,and nuclear factor-κB p65(P<0.05),while im-munofluorescence demonstrated increased expression of matrix metalloproteinase-9 and transforming growth factor-β1 in the OSA group(P<0.01).CONCLUSION:The OSA promotes upregulation of S100A8 in myocardial tissue,enhances atrial electrical remodeling and fibrosis,and increases susceptibility to AF.These findings suggest that S100A8 may play a key role in the pathogenesis and progression of OSA-related AF.

Objectives:To investigate the impact of the Micra AV leadless pacemaker on cardiac function.Methods:A total of 76 patients who received the implantation of Micra AV leadless pacemaker due to sick sinus syndrome or atrioventricular block at Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from September 2022 to April 2023 were included in this study.Among them,26 patients(34.2%)had sick sinus syndrome,and 50 patients(65.8%)had atrioventricular block.The patients were followed up for 1 year postoperatively.Cardiac function was evaluated by echocardiography,and the parameters of the pacemaker were collected through the outpatient clinic programming system.Results:After a follow-up of 120(87,181)days,compared with the preoperative state,the left ventricular ejection fraction(LVEF)decreased postoperatively([66.6±5.6]%vs.[63.8±5.2]%,P<0.001),and the cardiac output increased[(4.3±1.2)L/min vs.(5.3±1.5)L/min,P<0.001].There were no statistically significant differences in various cardiac function indexes of patients with sick sinus syndrome between the postoperative and preoperative states(all P>0.05).Compared with the preoperative state,in patients with atrioventricular block,the LVEF decreased postoperatively([67.0±5.1]%vs.[63.4±4.4]%,P<0.001),the cardiac output increased([4.2±1.1]L/min vs.[5.2±1.2]L/min,P<0.001),and the left ventricular end-diastolic diameter decreased[(49.9±5.4)mm vs.(48.6±5.0)mm,P=0.044].Firth's logistic regression analysis indicated that the preoperative LVEF(for every 1%increase,OR=1.56,95%CI:1.12-2.17,P=0.001),stroke volume(for every 1 ml increase,OR=1.15,95%CI:1.04-1.28,P=0.001),body mass index(for every 1 kg/m2 increase,OR=1.49,95%CI:1.02-2.17,P=0.020),and hypertension(OR=12.71,95%CI:1.11-145.13,P=0.039)were independent risk factors for the decrease in LVEF after surgery in patients with atrioventricular block.After the implantation of the MciraTM AV leadless pacemaker,the overall atrioventricular synchrony rate was 81.2%(68.8%,89.0%).The atrioventricular synchrony rates of patients with sick sinus syndrome and those with atrioventricular block were 70.6%(59.5%,83.4%)and 82.4%(74.2%,89.3%)respectively(P<0.05).Firth's logistic regression analysis indicated that sick sinus syndrome(OR=0.26,95%CI:0.07-0.89,P=0.029)and preoperative LVEF(for every 1%increase,OR=1.18,95%CI:1.03-1.35,P=0.015)were independent predictive factors for the atrioventricular synchrony rate>80%.Conclusions:There are differences in the impacts of the Micra AV leadless pacemaker on the LVEF and atrioventricular synchrony rate between patients with sick sinus syndrome and those with atrioventricular block.The preoperative LVEF,stroke volume,body mass index,and hypertension have independent predictive effects on the decrease in postoperative LVEF in patients with atrioventricular block.Sick sinus syndrome and preoperative LVEF are independent predictive factors for the atrioventricular synchrony rate>80%after surgery.

Objective:To understand the trends of the disease burden of Alzheimer's disease(AD)attributable to high body mass index(BMI)and high fasting plasma glucose(FPG)in the past 30 years and future trends in China, and to provide suggestions for the prevention and treatment of AD.Methods:Based on the Global Burden of Disease Research Database(GBD), data on AD deaths and disability adjusted life years(DALYs)attributable to high BMI and high FPG were collected from 1990 to 2021 in Chinese and global populations.The Joinpoint log-linear regression model was used to explore and compare the changing trends of AD burden in China and globally from 1990 to 2021, and a Bayesian age-period-cohort model was constructed for predictive analysis.Results:In 2021, the age-standardized mortality and DALYs rates of AD attributed to high BMI in the Chinese population were 1.256/100, 000 and 24.751/100, 000, respectively, and those attributed to high FPG were 3.636/100, 000 and 66.721/100, 000, respectively.The age-standardized rates of mortality and DALYs of females were both higher than those of males.From 1990 to 2021, the age-standardized rates of mortality and DALYs of AD attributed to high BMI increased slowly at first and then rapidly in China, the corresponding average annual percent change(AAPC)and 95% confidence interval(95% CI)were 9.87%(9.63%-10.12%), and 9.81%(9.54%-10.09%), respectively( P<0.001). The age-standardized rates of mortality and DALYs of AD caused by high FPG showed a fluctuating upward trend, with AAPC of 0.29%(95% CI: 0.17%-0.41%)and 0.53%(95% CI: 0.45%-0.61%), respectively( P<0.001). It is predicted that by 2030, the age-standardized rates of mortality and DALYs of AD attributed to high BMI and high FPG in the whole population of China will increase to 4.87/100 000 and 97.20/100 000, both lower than the global level(5.45/100 000 and 100.24/100 000). In addition to a slight decline in the age-standardized mortality rate in Chinese men, the age-standardized rates of mortality and DALYs attributed to high BMI and high FPG in Chinese women and the global population will both show an upward trend. Conclusions:The burden of AD attributed to high BMI and high FPG is relatively severe, with gender differences, and is expected to increase slightly by 2030.It is recommended that early identification of key high-risk populations of AD should be strengthened, especially for the elderly and female groups.Interventions targeting modifiable risk factors should be carried out, and effective measures should be adopted to reduce the burden of AD.