Objective To explore the objective facial appearance characteristics of patients with coronary heart disease(CHD).Methods From April 7,2019 to December 1,2022,313 patients with CHD were recruited from Dongzhimen Hospital,Beijing University of Chinese Medicine,Dongfang Hospital,Beijing University of Chinese Medicine,and the First Affiliated Hospital of Hunan University of Chinese Medicine,together with 293 healthy controls.Standardized facial images were obtained using the tongue-face diagnostic instrument.The face was divided into six regions:the forehead,left cheek,right cheek,nose,lips,and chin.Nine color parameters were extracted from each region,including red(R),green(G),blue(B),hue(H),saturation(S),value(V),lightness(L),red-green axis(a),and yellow-blue axis(b).Comparisons between groups were performed.Results Compared with the healthy group,in the forehead region,values of R,S,V,a,and b were higher in the coronary heart disease group,whereas B was lower(P<0.05);in the left cheek,nose,and chin regions,R,G,B,V,and L decreased,whereas S,a,and b increased(P<0.05);in the right cheek region,R,G,B,H,V,and L decreased,while S,a,and b increased(P<0.05);in the lips region,R,G,B,H,V,L,and a decreased,whereas S and b increased(P<0.05).Conclusion Compared with healthy individuals,patients with CHD present with a darker,more saturated facial complexion with reduced brightness,overall manifesting as"dark red complexion"and"dense but not bright color,"suggesting the pathogenesis of qi and blood circulation stagnation and internal blood stasis retention.The objective expression of facial features may have greater application value in syndrome differentiation and auxiliary diagnosis in traditional Chinese medicine.

Background and purpose:The microphthalmia-associated transcription factor(MITF)plays a complex role in melanoma pathogenesis and progression.It is known to regulate multiple processes both in melanocytes and melanoma cells.While numerous studies have explored MITF in cutaneous melanoma(CM),research in acral melanoma(AM)is still limited.This study retrospectively analyzed the correlation between MITF expression and clinical,pathological characteristics and prognosis in AM patients,providing a basis for prognosis evaluation and personalized treatment plan formulation for patients.Methods:Patients who underwent primary resection of AM at Fudan University Shanghai Cancer Center from March 2008 to February 2022 were included.All surgical samples were diagnosed by clinical histopathology and used to construct the tissue microarray(TMA).This study was approved by the medical ethics committee of Fudan University Shanghai Cancer Center(approval number:2203-ZZK-69-3).Cutting complete tissue microarray and evaluating MITF expression levels by immunohistochemistry(IHC)staining were carried out.The results were independently assessed and scored by three pathologists.Clinical and pathological data were collected from the hospital's electronic medical record system,and each patient's data was matched to their corresponding tissue sample on the chip.Patients were stratified into two groups based on MITF expression levels.Statistical analyses were performed to assess differences in clinical,pathological characteristics and survival outcomes between these two groups.Results:A total of 137 AM patients were included.MITF expression was significantly associated with T stage,N stage,American Joint Committee on Cancer(AJCC)stage,clark level,sentinel lymph node status,and presence of ulceration.Among these,N stage and ulceration were independent risk factors for high expression of MITF after adjusting for confounding factors.Survival analysis showed that AM patients with high MITF expression or higher T stage were associated with shorter disease-free survival(DFS).Patients with high MITF expression showed no significant difference in overall survival(OS)between observation or cytokine therapy and adjuvant immune checkpoint inhibitor(ICI)therapy,whereas those with low MITF expression derived significant survival benefits from ICI treatment.Conclusion:A higher N stage or the presence of ulceration indicates high MITF expression in tumor cells,with high MITF levels serving as a warning signal for early recurrence,metastasis,and even death.Patients with low MITF expression could receive improved OS with early adjuvant ICI therapy.MITF could not only serve as an auxiliary diagnostic marker for melanoma but also provide a basis for clinical prognosis assessment and the formulation of personalized treatment plans.

Objective To observe the differences in gut microbiota in chronic unpredictable mild stress(CUMS)-induced depression model rats of both sexes,and to provide experimental evidence for exploring sex differences in depression onset.Methods Thirty-two healthy SD rats were divided randomly into four groups based on sex:Male control group(Control-M),Female control group(Control-F),Male model group(Model-M),and Female model group(Model-F)(n=8 rats per group).Rats in the control groups were fed without stimulation,while rats in the model groups were stimulated using the 28 d CUMS-induced depression method.After successful modeling,fresh feces were collected from all rats for high-throughput 16S rRNA sequencing.Behavioral observations were also conducted before and after preparing the model.Results The result of sucrose-preference,open-field,and forced-swimming tests differed significantly between the control and model groups.The result of the sucrose-preference test also differed between the sexes,while there was no difference in the open-field or forced-swimming test between the sexes.The α and β diversity of the gut microbiota genera showed an upward trend in the CUMS group compared with the control group.The ratio of Firmicutes/Bacteroidetes and the richness of the Roseburia and Lachnospiraceae_NK4A136_group were decreased in male rats but showed an increasing trend in female rats.Conclusions The ratio of Firmicutes/Bacteroidetes in the gut microbiota may be a key factor affecting the difference in the onset of depression between males and females,while the Roseburia and Lachnospiraceae_NK4A136_group be potential factors in correcting the gut microbiota and improving the symptoms of depression.

Objective:To observe the effects of moxibustion at Shenshu(BL23)and Zusanli(ST36)on Toll-like receptor 4(TLR4)-myeloid differentiation factor 88(Myd88)signaling pathway-mediated inflammatory factors in the synovial tissue of ankle joints of rats with rheumatoid arthritis(RA),and to explore the molecular and biological mechanisms underlying the anti-inflammatory and analgesic effects.Methods:A total of 24 male Sprague-Dawley(SD)rats were randomly divided into a normal group,a model group,and a moxibustion group,with 8 rats in each group.The RA model was established with exposure to wind,cold,and damp environmental factors,along with Freund's complete adjuvant.After three days of modeling,mild moxibustion was applied to bilateral Shenshu(BL23)and Zusanli(ST36)in the moxibustion group using moxa sticks of 0.9 cm in diameter for 30 min each time,once a day for 14 d.Structural changes in the synovial tissue and cells were then observed using hematoxylin-eosin staining and transmission electron microscopy,while immunohistochemistry analysis was used to detect tumor necrosis factor(TNF)-α,interleukin(IL)-17,IL-1β,and IL-6 levels.Moreover,the protein expression levels of Myd88,TLR4,and transient potential receptor vanilloid type 1(TRPV1)in the synovial tissue were detected using Western blotting,while their mRNA expression levels were detected using reverse transcription-polymerase chain reaction.Finally,the levels of IL-1β,IL-2,IL-6,IL-17A,and TNF-α in rat serum were detected using enzyme-linked immunosorbent assay.Results:Compared to the normal group,the model group exhibited notable pathological synovial tissue damage,along with significantly higher IL-1β,IL-6,and TNF-α levels(P<0.01)and a slightly higher IL-17 content(P>0.05).Furthermore,the Myd88,TLR4,and TRPV1 protein and mRNA expression levels and serum IL-1β,IL-2,IL-6,IL-17A,and TNF-α levels were all significantly higher in the model group than in the normal group(P<0.01).Compared to the model group,the moxibustion group exhibited a lower degree of synovial tissue pathological damage,along with significantly lower IL-1β,IL-6,and TNF-α levels(P<0.05 or P<0.01)and a lower IL-17 content without statistical significance(P>0.05).Moreover,the Myd88,TLR4,and TRPV1 protein and mRNA expression levels,and serum IL-1β,IL-2,IL-6,IL-17A,and TNF-α levels were all significantly lower in the moxibustion group than in the model group(P<0.01 or P<0.05).Conclusion:Mild moxibustion at Shenshu(BL23)and Zusanli(ST36)can effectively inhibit TLR4-MyD88 signaling pathway-mediated inflammatory factor expression in the synovial tissue of ankle joints of RA rats.Furthermore,the effect of moxibustion on synovial tissue inflammation in RA rats may be attributed to TRPV1 channel activation.

Objective:To propose a functional method for locating the shoulder joint center of rotation aimed at rapid estimation of the upper limb reachable domain envelope, thereby informing ergonomic design and task optimization.Methods:In March 2024, shoulder kinematics during gait were recorded from ten adults using a three-dimensional motion-capture system. Assuming the existence of a point near the glenohumeral joint that maintains a fixed spatial relationship to the humerus and the acromion, we estimated both static and dynamic centers of rotation. Localization accuracy was quantified by the standard deviation of distance residuals to upper-arm markers. Upper-limb joint angles and anthropometric parameters were modeled via regression; combined with maximal joint ranges of motion, these were used to infer the reachable domain envelope.Results:The static center of rotation was located approximately twenty-two millimeters medial to the acromial landmark in the coronal plane and thirty-seven millimeters inferior to it. The standard deviation of the residuals for the distances from the dynamic shoulder joint center of rotation to upper-arm markers averaged 1.02 mm, which was 47.42% lower than that of the static center of rotation and 66.56% lower than that of the acromion. Moreover, the trajectory of this dynamic center showed a strong correlation with upper-limb joint angles ( R2>0.7) . Conclusion:The proposed method enables rapid and accurate estimation of the upper limb reachable domain envelope to support ergonomic design and may help reduce the risk of work-related musculoskeletal disorders.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Objective To develop a three-compartment kinetic fatigue model for the isometric muscle endurance of the hip,knee,and ankle joints at 50％IPT(isometric peak torque),so as to provide a theoretical basis for simulation-based assessments and load evaluations in biomechanics and sports science.Methods The IPT of the hip,knee,and ankle joints was measured in 40 male university students.Isometric endurance tests were then performed on all three joints at 50％IPT until exhaustion.Electromyography data and endurance time(ET)of major lower limb muscles were collected concurrently.The differences between ETs predicted by models based on previously recommended F and R parameters and actual ETs were analyzed.Subsequently,experimental ETs were used in a grid search to optimize Fand R parameters,allowing for the development of an accurate three-compartment kinetic model.Results The ET of the hip and ankle joints was significantly longer than that of the knee joint(P＜0.001).Models using previously recommended Fand R parameters overestimated ET,with significantly higher predicted values than experimentally measured ET(P＜0.001),as well as elevated root mean squared error(RMSE)and mean relatvie error(MRE)values.The grid search successfully identified Fand R parameters for the three-compartment model in isometric endurance tests of lower limb joints,with no statistical difference between model-predicted ET and experimental ET(P＞0.05).Conclusions The developed model in this study can serve as an indirect measurement tool for evaluating load in similar activities.

Objective To explore the objective facial appearance characteristics of patients with coronary heart disease(CHD).Methods From April 7,2019 to December 1,2022,313 patients with CHD were recruited from Dongzhimen Hospital,Beijing University of Chinese Medicine,Dongfang Hospital,Beijing University of Chinese Medicine,and the First Affiliated Hospital of Hunan University of Chinese Medicine,together with 293 healthy controls.Standardized facial images were obtained using the tongue-face diagnostic instrument.The face was divided into six regions:the forehead,left cheek,right cheek,nose,lips,and chin.Nine color parameters were extracted from each region,including red(R),green(G),blue(B),hue(H),saturation(S),value(V),lightness(L),red-green axis(a),and yellow-blue axis(b).Comparisons between groups were performed.Results Compared with the healthy group,in the forehead region,values of R,S,V,a,and b were higher in the coronary heart disease group,whereas B was lower(P<0.05);in the left cheek,nose,and chin regions,R,G,B,V,and L decreased,whereas S,a,and b increased(P<0.05);in the right cheek region,R,G,B,H,V,and L decreased,while S,a,and b increased(P<0.05);in the lips region,R,G,B,H,V,L,and a decreased,whereas S and b increased(P<0.05).Conclusion Compared with healthy individuals,patients with CHD present with a darker,more saturated facial complexion with reduced brightness,overall manifesting as"dark red complexion"and"dense but not bright color,"suggesting the pathogenesis of qi and blood circulation stagnation and internal blood stasis retention.The objective expression of facial features may have greater application value in syndrome differentiation and auxiliary diagnosis in traditional Chinese medicine.

Objective To develop a three-compartment kinetic fatigue model for the isometric muscle endurance of the hip,knee,and ankle joints at 50％IPT(isometric peak torque),so as to provide a theoretical basis for simulation-based assessments and load evaluations in biomechanics and sports science.Methods The IPT of the hip,knee,and ankle joints was measured in 40 male university students.Isometric endurance tests were then performed on all three joints at 50％IPT until exhaustion.Electromyography data and endurance time(ET)of major lower limb muscles were collected concurrently.The differences between ETs predicted by models based on previously recommended F and R parameters and actual ETs were analyzed.Subsequently,experimental ETs were used in a grid search to optimize Fand R parameters,allowing for the development of an accurate three-compartment kinetic model.Results The ET of the hip and ankle joints was significantly longer than that of the knee joint(P＜0.001).Models using previously recommended Fand R parameters overestimated ET,with significantly higher predicted values than experimentally measured ET(P＜0.001),as well as elevated root mean squared error(RMSE)and mean relatvie error(MRE)values.The grid search successfully identified Fand R parameters for the three-compartment model in isometric endurance tests of lower limb joints,with no statistical difference between model-predicted ET and experimental ET(P＞0.05).Conclusions The developed model in this study can serve as an indirect measurement tool for evaluating load in similar activities.

BACKGROUND:Surface electromyography has been extensively utilized for monitoring muscle fatigue. However,traditional electromyographic metrics typically focus on individual muscles and fail to assess the variations in a muscle group during the fatigue process. OBJECTIVE:To establish a muscle functional network to extract complex network parameters and investigate the topological property changes of the muscle functional network under different levels of fatigue,aiming to provide theoretical and methodological foundations for fatigue monitoring and prevention. METHODS:Eleven participants performed single-leg leg press exercise at 50％ of one-repetition maximum until exhaustion. Simultaneously,electromyographic signals of seven muscles (rectus femoris,vastus lateralis,vastus medialis,biceps femoris,tibialis anterior,lateral gastrocnemius,and medial gastrocnemius),electrocardiographic signals,and Borg CR-10 scale scores were collected. The Borg CR-10 scale was used to categorize three fatigue stages:mild,moderate,and severe. Heart rate and heart rate variability were calculated to validate the effective division of fatigue stages. Using the coherence of muscle signals,a muscle functional network was constructed with the seven muscles as nodes,and four complex network parameters (clustering coefficient,average weighted degree,global efficiency,and eigenvector centrality) were extracted. Additionally,four electromyographic indices (root mean square,median frequency,instantaneous mean frequency,and co-activation ratio) were extracted and compared under the three levels of fatigue. RESULTS AND CONCLUSION:(1) Differences in heart rate and heart rate variability were observed across three fatigue stages,indicating the effectiveness of fatigue stage delineation. (2) Electromyographic indicators for different muscles under three levels of fatigue:root mean square and co-activation ratio showed no differences;however,median frequency exhibited robust fatigue trends in vastus lateralis,vastus medialis,and biceps femoris,while instantaneous mean frequency demonstrated robust fatigue trends in rectus femoris,vastus lateralis,vastus medialis,and biceps femoris. Instantaneous mean frequency outperformed median frequency and root mean square,yet all three indicators showed robust trends only for the major working muscle groups,unaffected by fatigue factors,unlike the co-activation ratio. (3) The connectivity strength between vastus lateralis and vastus medialis,vastus lateralis and biceps femoris,vastus lateralis and gastrocnemius medialis,and vastus medialis and biceps femoris gradually increased,showing significant differences in average weighted degree,clustering coefficient,and global efficiency post-fatigue,significantly correlated with fatigue levels. To conclude,changes in connectivity strength reflect the synergy and complementarity among muscles during fatigue. Clustering coefficient,average weighted degree,and global efficiency serve as fatigue markers reflecting overall muscle changes.