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.

Purpose: This Phase II trial was objected to evaluate the efficacy and safety of adding fulvestrant to neoadjuvant chemotherapy in patients with estrogen receptor (ER)+/human epidermal growth factor receptor 2 (HER2)– locally advanced breast cancer (LABC). Additionally, the study aimed to investigate the association of 16α-18F-fluoro-17β-fluoroestradiol (18F-FES) positron emission tomography (PET)–computed tomography (CT) and metabolites with efficacy. Materials and Methods: Fulvestrant and EC-T regimen were given to ER+/HER2– LABC patients before surgery. At baseline, patients received 18F-FES PET-CT scan, and plasma samples were taken for liquid chromatography–mass spectrometry analysis. The primary endpoint was objective response rate (ORR). Secondary endpoints included total pathologic complete response (tpCR) and safety. Results: Among the 36 patients enrolled, the ORR was 86.1%, the tpCR rate was 8.3%. The incidence of grade ≥ 3 treatment-emergent adverse events was 22%. The decrease in ER value in sensitive patients was larger than that in non-sensitive patients, as was Ki-67 (p < 0.05). The maximum standardized uptake value, mean standardized uptake values, total lesion ER expression of 18F-FES PET-CT in sensitive patients were significantly higher than those in non-sensitive patients (p < 0.05). Moreover, these parameters were significantly correlated with Miller and Payne grade and the change in ER expression before and after treatment (p < 0.05). Thirteen differential expressed metabolites were identified, which were markedly enriched in 19 metabolic pathways. Conclusion This regimen demonstrated acceptable toxicity and encouraging antitumor efficacy. 18F-FES PET-CT might serve as a tool to predict the effectiveness of this therapy. Altered metabolites or metabolic pathways might be associated with treatment response.

Purpose: This Phase II trial was objected to evaluate the efficacy and safety of adding fulvestrant to neoadjuvant chemotherapy in patients with estrogen receptor (ER)+/human epidermal growth factor receptor 2 (HER2)– locally advanced breast cancer (LABC). Additionally, the study aimed to investigate the association of 16α-18F-fluoro-17β-fluoroestradiol (18F-FES) positron emission tomography (PET)–computed tomography (CT) and metabolites with efficacy. Materials and Methods: Fulvestrant and EC-T regimen were given to ER+/HER2– LABC patients before surgery. At baseline, patients received 18F-FES PET-CT scan, and plasma samples were taken for liquid chromatography–mass spectrometry analysis. The primary endpoint was objective response rate (ORR). Secondary endpoints included total pathologic complete response (tpCR) and safety. Results: Among the 36 patients enrolled, the ORR was 86.1%, the tpCR rate was 8.3%. The incidence of grade ≥ 3 treatment-emergent adverse events was 22%. The decrease in ER value in sensitive patients was larger than that in non-sensitive patients, as was Ki-67 (p < 0.05). The maximum standardized uptake value, mean standardized uptake values, total lesion ER expression of 18F-FES PET-CT in sensitive patients were significantly higher than those in non-sensitive patients (p < 0.05). Moreover, these parameters were significantly correlated with Miller and Payne grade and the change in ER expression before and after treatment (p < 0.05). Thirteen differential expressed metabolites were identified, which were markedly enriched in 19 metabolic pathways. Conclusion This regimen demonstrated acceptable toxicity and encouraging antitumor efficacy. 18F-FES PET-CT might serve as a tool to predict the effectiveness of this therapy. Altered metabolites or metabolic pathways might be associated with treatment response.

Purpose To analyze and compare the impact of incorporating molecular classification into the new FI-GO(2023)staging system for endometrial cancer(EC).Methods A retrospective analysis was conducted on 332 ca-ses of EC diagnosed and molecular subtyped by Department of Pathology Tianjin Central Hospital of Gynecology Obstet-rics in 2023.All cases were staged according to the FIGO(2023)staging criteria for EC.Results The median age of the 332 EC patients was 56 years(range:27-76 years).Molecular subtypes included 30 POLE mutation(POLE-mut),80 mismatch repair deficiency(MMRd),194 no specific molecular profile(NSMP),and 28 p53 abnormal(p53abn).Significant differences were observed among the four molecular subtypes regarding age,FIGO stage,patho-logical type,and lymph node metastasis rate(P＜0.05).However,no significant differences were found in the depth of myometrial invasion or lymphovascular space invasion.In the POLEmut group,19 cases(63.33％)were of non-ag-gressive histological types and 11(36.67％)were aggressive.After incorporating molecular subtyping,all 11 stage Ⅱ patients were downgraded to stage Ⅰ AmPOLEmut,increasing the proportion of stage Ⅰ patients from 62.07％to 100％.In the p53abn group,9 cases(32.14％)were non-aggressive and 19(67.86％)were aggressive.Molecular integra-tion led to the upstaging of 4 stage Ⅰ patients with myometrial invasion to stage Ⅱ Cmp53abn,increasing the proportion of stage Ⅱ patients from 34.61％to 50％.Conclusion Molecular subtypes p53abn and POLEmut are associated with distinct alterations in EC staging,specifically leading to tumor upstaging or downstaging.Our findings underscore the critical importance of comprehensive molecular subtyping in EC staging,as it refines prognostic risk stratification and provides valuable guidance for adjuvant treatment decisions.

OBJECTIVES: To investigate the molecular mechanism underlying Leber hereditary optic neuropathy (LHON) caused by the m.3472T>C (p.Phe56Leu) mutation. METHODS: From a cohort of 1397 LHON patients, three large pedigrees (WZL122, WZ676, WZ706) carrying the m.3472T>C mutation were identified and selected for this study. Immortalized lymphoblastoid cell lines were established from peripheral blood samples obtained from two affected individuals carrying the homoplasmic m.3472T>C mutation (derived from one Han Chinese LHON pedigree) and two genetically unrelated, matched healthy controls. The MitoTool software was used to analyze the complete mitochondrial DNA sequence to determine the haplogroup background, and the conservation of the mtDNA mutation site was evaluated using the MitoMap database. The secondary structure of the ND1 protein was predicted and analyzed using online prediction software. The three-dimensional structure and molecular interaction changes of wild-type and mutant ND1 proteins were visualized and analyzed using PyMOL. Western blotting was performed to determine the expression levels of key proteins. Cellular ATP levels were measured using a chemiluminescence assay. Mitochondrial membrane potential and intracellular reactive oxygen species (ROS) levels were assessed by flow cytometry. RESULTS: mtDNA haplotype analysis showed that the subjects all belonged to the East Asian mitochondrial haplogroup D4. The m.3472T>C mutation results in the substitution of a highly conserved phenylalanine with leucine (p.Phe56Leu) in the ND1 subunit of mitochondrial complex Ⅰ, which may alter the structure and function of ND1. In lymphoblastoid cell lines carrying the m.3472T>C mutation, manifestations of mutant ND1 instability were observed, including reduced ND1 protein levels, diminished mitochondrial ATP production, decreased mitochondrial membrane potential, and increased mitochondrial ROS production. Concurrently, the expression levels of the antioxidant enzymes catalase and SOD2 were elevated (all P<0.01). These findings collectively suggest impaired complex Ⅰ function. CONCLUSIONS The m.3472T>C mutation contributes to the pathogenesis of LHON by disrupting the structural stability of the ND1 subunit in complex Ⅰ, leading to mitochondrial dysfunction.

Objective:To investigate effects of human umbilical cord mesenchymal stem cell-derived exosomes(hUCMSCs-Exo)on bisphenol AF(BPAF)-induced oxidative damage and inflammatory factor release from endometrial stromal cells(hESCs).Methods:hESCs were divided into Control group,BPAF group(25 μmol/L BPAF treatment),BPAF+Exo group(25 μmol/L BPAF+hUCMSCs-Exo treatment),BPAF+Exo+LY group(25 μmol/L BPAF+hUCMSCs-Exo+10 μmol/L LY294002 treatment).Cell prolifera-tion was detected by MTT assay;apoptosis,intracellular ROS level,and mitochondrial membrane potential level were detected by flow cytometry;protein expressions of Bcl-2,Bax,Cleaved-caspase-3 and PI3K/AKT signaling pathway were detected by Western blot;mRNA expressions of inflammatory factors TNF-α,IL-6 and IL-1β were detected by RT-qPCR.Results:Compared with Control group,hESCs survival rate was gradually decreased(P<0.01),apoptosis rate was gradually increased with the increased concentration of BPAF(≥25 μmol/L).Compared with Control group,BPAF group showed increased ROS level,decreased mitochondrial membrane potential level,increased Bax and Cleaved-caspase-3 protein expressions,and decreased Bcl-2,p-PI3K and p-AKT protein expressions.Compared with BPAF group,cell survival rate of BPAF+Exo group was increased(P<0.01),ROS level decreased,mitochondrial membrane potential level increased,expressions of Bax and Cleaved-caspase-3 proteins decreased,and expressions of Bcl-2,p-PI3K and p-AKT increased.Compared with BPAF+Exo group,expressions of Bax and Cleaved-caspase-3 protein in cells of BPAF+Exo+LY group were increased,while expressions of Bcl-2,p-PI3K and p-AKT protein were decreased.Expressions of inflammatory factors TNF-α,IL-6 and IL-1β mRNA were significantly up-regulated in BPAF group compared with Control group(P<0.01),and expressions of inflammatory factors mRNA were significantly down-regulated in BPAF+Exo group compared with BPAF group(P<0.05).Conclu-sion:BPAF(≥25 μmol/L)inhibits proliferation of hESCs and promoted apoptosis.hUCMSCs-Exo inhibits BPAF-induced oxidative dam-age and inflammatory factors expressions in hESCs through PI3K/AKT signaling pathway.

Objective To analyze the risk factors for chronic mountain sickness(CMS)in young male migrants living in high-altitude areas and to construct a diagnostic model and evaluate its diagnostic efficacy.Methods From June 10 to December 29,2023,a cross-sectional study was conducted on young male migrants subjected with convenience sampling who had been living in high-altitude areas(4 500～5 000 m)for 6 months or longer.Their demographic data were collected and blood samples were collected for laboratory test.According to the Qinghai Score for Chronic Mountain Sickness,they were divided into CMS group and non-CMS group.Then the participants were randomly divided into a training set and a test set in a ratio of 8∶2.Independent risk factors for CMS occurrence were screened out,through random forest variable importance ranking,univariate and multivariable logistic regression analysis,and a diagnostic model was constructed based on these factors.Receiver operating characteristic(ROC)curve analysis,calibration curve analysis,clinical decision curve analysis,and influence curve analysis were used to comprehensively evaluate the diagnostic performance of the model.Results According to the inclusion and exclusion criteria,308 out of 376 participants were finally subjected,and 17.53%of them were diagnosed with CMS.The major clinical symptoms of the CMS patients were dyspnea or palpitations(79.63%)and sleep disorders(85.19%).Further analysis revealed that creatine kinase-MB/creatine kinase(CK-MB/CK,OR=2.17,95%CI:1.43～3.28),high-altitude residence time(OR=2.44,95%CI:1.08～5.54),and body mass index(BMI,OR=1.62,95%CI:1.05～2.50)were 3 major independent risk factors for CMS.The area under the curve(AUC)value of the CMS diagnostic model in the training set and test set was 0.821(95%CI:0.756～0.886)and 0.821(95%CI:0.700～0.944),the specificity was 66.30%and 73.90%,the sensitivity was 89.50%and 81.20%,respectively,indicating good discrimination ability.Hosmer-Lemeshow goodness-of-fit test showed consistency between predicted results and actual observations(χ2=10.029,P=0.263;χ2=4.477,P=0.812).Clinical decision curve analysis demonstrated that within the threshold probability range from 0.1 to 0.7,the net benefit of the model exceeded both full intervention and no intervention strategies.The influence curve analysis showed high consistency between the model predictions and actual incidence when the threshold probability exceeded 0.4.These two analyses together confirmed the clinical application value of the model.Conclusion CK-MB/CK,high-altitude residence time and BMI are independent risk factors for CMS,and their diagnostic model helps identify potential individuals at risk for CMS.Early intervention can prevent the harm of CMS to the health of young men migrating to high-altitude areas.

Objective To compare the intestinal injury induced by different intensities of waveshock in rats exposed to extremely cold environment and to preliminarily explore the characteristics of the injury.Methods Sixty healthy male SD rats(2 months old,weighing 200～250 g)were randomly divided into 6 groups(n=10):blank control group,low-temperature control group,5.0 MPa shock control group,and low-temperature+4.0,4.5 and 5.0 MPa shock groups.The rats in the experimental groups were pre-treated in a-10℃low-temperature environment for 30 min and then subjected to intestinal injury by using BST-I biological shock tube with different driving pressures.At 3,8,and 24 h after injury,the serum levels of IL-6,TNF-α,intestinal fatty acid binding protein(I-FABP),and diamine oxidase(DAO)were detected,and the survival of rats within 24 h was recorded.At 24 h after injury,the rats were anesthetized and dissected,the characteristics of intestinal injury were observed,and pathological examination was performed.The differences of intestinal injury were compared among the 6 groups to explore the characteristics of intestinal injuries after different intensities of shockwave in rats after exposure to extremely cold environment.Results Compared with the blank control group,the other 5 groups exhibited different severities of intestinal injury,and the rats in the low-temperature+different shock groups were more prone to intestinal edema and trauma.The mortality rate was significantly increased in the low-temperature+5.0 MPa shock group(P<0.05).Pathological and serological studies found that dual effects of very cold environment and blast injury resulted in intestinal mucosal hemorrhage,edema,and disintegration of lamina propria in the experimental rats.The indicators of intestinal mucosal injury and intestinal inflammatory factors were also significantly increased when compared with the blank control group,and significant differences were among the groups with increment of shock intensity(P<0.05).Conclusion Exposure to very cold environment combined with abdominal blast injury increases mortality rate in rats,manifested by elevated serological indicators and intestinal inflammatory factors,as well as varying severities of intestinal wall edema and submucosal bleeding.Furthermore,the severity of the injury is positively related to the impact intensity,with worsened as the impact intensity increasing.

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