ObjectiveTo investigate the effects of Huangqi Jianzhongtang （HQJZ） on macrophage polarization and fat consumption in cancer cachexia （CC） mice. MethodsUltra-performance liquid chromatography-quadrupole/electrostatic field Orbitrap high-resolution mass spectrometry （UPLC-Q-Orbitrap HRMS） was used to control the quality of HQJZ. （1） In vitro experiment： HQJZ-containing serum was prepared， and the optimal concentration was determined by cytotoxicity assay. Mouse monocyte-derived macrophages （RAW264.7） were cultured and randomly divided into six groups， including a blank group， a classically activated macrophages （M1） group， an alternatively activated macrophages （M2） group， a HQJZ + blank group， a HQJZ+M1 group， and a HQJZ + M2 group. The relative expression of macrophage marker genes CD86， inducible nitric oxide synthase （iNOS）， CD206， and arginase-1 （Arg1） was detected by real-time quantitative polymerase chain reaction （Real-time PCR ）. （2） In vivo experiment： Thirty-two BALB/c mice were randomly divided into a control group， a model group， a medroxyprogesterone acetate （MPA） group， and a HQJZ group. Except for the control group， the other mice were injected with CT-26 colon cancer cells to establish a CC model. Mice in the MPA and HQJZ groups were given MPA （0.13 g·kg^-1·d^-1） or HQJZ （13.13 g·kg^-1·d^-1） by gavage， respectively， while mice in the control and model groups were given an equal volume of saline by gavage， with interventions continued for 10 d. Real-time PCR was used to detect the expression of macrophage markers （iNOS， Arg1， CD86， CD206） and fat browning-related genes uncoupling protein 1 （UCP1） and peroxisome proliferator-activated receptor γ （PPARγ） in epididymal adipose tissue. Western blot （WB） was used to detect protein expression levels of UCP1 and PPARγ. Micro-computed tomography （micro-CT） was used to measure residual fat volume， and hematoxylin-eosin （HE） staining was used to assess fat browning and calculate pathological scores. ResultsIn vitro， the dominant effective concentration of HQJZ-containing serum was 12.5%. Real-time PCR results showed that， compared with the blank group， Arg1 expression decreased in the HQJZ+blank group （P<0.05）， CD206 showed a downward trend without statistical significance， while iNOS and CD86 expression were significantly increased （P<0.05）. Compared with the M1 group， Arg1 and CD206 expression decreased in the HQJZ+M1 group （P<0.05）. Compared with the M2 group， CD206 expression decreased in the HQJZ+M2 group （P<0.05）， CD86 expression increased significantly （P<0.01）. In vivo， Real-time PCR results showed that， compared with the control group， CD86 and CD206 expression levels were significantly increased in the model group （P<0.01）. Compared with the model group， CD206 expression in the MPA group was significantly decreased （P<0.01）. In the HQJZ group， CD206 was significantly decreased （P<0.01）. WB results showed that， compared with the model group， protein expression of UCP1 and PPARγ was significantly reduced in the HQJZ group （P<0.05， P<0.01）. micro-CT results showed that the total white fat volume in the HQJZ group was greater than that in the model group （P<0.05）. HE staining results showed that pathological scores in the HQJZ group were lower than those in the model group （P<0.05）. ConclusionHQJZ may inhibit white adipose tissue browning by promoting macrophage M1 polarization and suppressing M2 polarization， thereby delaying fat consumption in CC mice.

Acupotomy therapy demonstrates the definite clinical efficacy on knee osteoarthritis (KOA). After reviewing systematically the mechanism studies on acupotomy for KOA over the past 5 years, It is revealed that acupotomy synergistically intervenes in the pathological progression of KOA through multi-target approaches, such as regulating cartilage homeostasis, restoring skeletal muscle function, alleviating synovial inflammatory responses, remodeling subchondral bone, and neuromodulation. But the current research still limits to single-tissue phenotypic observation, and is insufficiency in the in-depth exploration of multi-tissue synergistic interactions and molecular upstream-downstream regulatory mechanisms. Future studies should focus on the inheritance and innovation of acupotomy theory, and integrating multi-omics analytical technologies, artificial intelligence, and novel biochemical detection methods. The mechanism research targets on the interaction mechanisms among tissues, direct effects of acupotomy, immune-inflammatory regulatory mechanisms, and analgesic mechanisms, so as to comprehensively elucidate the therapeutic mechanism of acupotomy for KOA.
Humans ; Acupuncture Therapy ; Osteoarthritis, Knee/genetics* ; Animals

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

The focus of green analytical chemistry (GAC) is to minimize the negative impacts of analytical procedures on human safety, human health, and the environment. Several factors, such as the reagents used, sample collection, sample processing, instruments, energy consumed, and the quantities of hazardous materials and waste generated during analytical procedures, need to be considered in the evaluation of the greenness of analytical assays. In this study, we propose a greenness evaluation metric for analytical methods (GEMAM). The new greenness metric is simple, flexible, and comprehensive. The evaluation criteria are based on both the 12 principles of GAC (SIGNIFICANCE) and the 10 factors of sample preparation, and the results are presented on a 0-10 scale. The GEMAM calculation process is easy to perform, and its results are easy to interpret. The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

Community general practitioners are the main force of primary health care, however, the lack of effective incentive mechanisms would affect their work enthusiasm. Therefore, to enhance incentive mechanisms,particularly from the perspective of the career development,will improve the work enthusiasm and post competeny of general practitioners in primary health care services. This article summarizes five major influencing factors of the incentives for community general practitioners, namely salary and benefits, performance evaluation, promotion and development, working conditions and interpersonal relationships, and proposes the operational strategies of incentive improvement, to provide reference for improving working conditions and strengthening incentive measures for community general practioners in primary community hospitals.

Objective To discuss the prediction value of the early efficacy of hepatic arterial infusion chemotherapy(HAIC)in treating stage Ⅱ-Ⅲ hepatocellular carcinoma(HCC).Methods The clinical data of 81 patients with stage Ⅱ-Ⅲ HCC,who received at least 3 times of HAIC at the Nanchang Municipal Central Hospital of China from November 2021 to March 2024,were retrospectively analyzed.CT or MRI was used to compare patient's local tumor response after each treatment cycle.Based on modified Response Evaluation Criteria in Solid Tumors(mRECIST),the curative effects of patients after receiving the first,the second,and the last HAIC treatment were compared between each other.The prediction value of the early efficacy of HAIC in treating patients with stage Ⅱ-Ⅲ HCC was analyzed.Results In the 67 patients,the efficacy of the last time HAIC was equal or similar to that of the first time HAIC,and in the remaining 14 patients the efficacy of the last time HAIC was different from that of the first time HAIC,with an efficacy prediction rate of 82.72％.The efficacy of the last time HAIC was equal or similar to that of the second time HAIC in 71 patients,and in the remaining 10 patients the efficacy of the last time HAIC was different from that of the second time HAIC,with an efficacy prediction rate of 87.65％.Conclusion In treating stage Ⅱ-Ⅲ HCC with HAIC,the early efficacy can be used to predict the final efficacy after completion of the total treatment course.

The focus of green analytical chemistry(GAC)is to minimize the negative impacts of analytical pro-cedures on human safety,human health,and the environment.Several factors,such as the reagents used,sample collection,sample processing,instruments,energy consumed,and the quantities of hazardous materials and waste generated during analytical procedures,need to be considered in the evaluation of the greenness of analytical assays.In this study,we propose a greenness evaluation metric for analytical methods(GEMAM).The new greenness metric is simple,flexible,and comprehensive.The evaluation criteria are based on both the 12 principles of GAC(SIGNIFICANCE)and the 10 factors of sample prep-aration,and the results are presented on a 0-10 scale.The GEMAM calculation process is easy to perform,and its results are easy to interpret.The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Objective : To investigate the effect of chromosome instability(CIN) associated gene polypeptide N-acetylgalactosaminyltransferase 7(GALNT7) on proliferation and apoptosis of HCT116 colon cancer cells. Methods : The HCT116 cell line withGALNT7knockdown was constructed by lentiviral infection. The correlation betweenGALNT7and CIN was verified by chromosome spread assay. The effect ofGALNT7on cell proliferation was detected by live cell counting, and the effect ofGALNT7on cell cycle distribution was detected by flow cytometry and Western blot. Caspase-3 activity and Western blot assays were used to detect the effect ofGALNT7on apoptosis. Results : HCT116 cells showed a slower proliferation rate upon knocking down ofGALNT7, and exhibited a more scattered karyotype distribution and a phenotype of increased degree of CIN. Inhibition ofGALNT7in HCT116 cells resulted in cell cycle arrest, upregulation of P21 and downregulation of CDK6 protein levels, as well as increased levels of Caspase-3 activity, cleaved PARP1 and PUMA protein expression, and decreased levels of BCL-2 protein expression. Conclusion TheGALNT7gene may promote proliferation and inhibit apoptosis of HCT116 colon cancer cells through the suppression of CIN generation.

Uterine arteriovenous fistula (UAVF), a relatively rare vascular anomaly, may lead to life-threatening hemorrhage and poses diagnostic and management challenges for primary hospitals during initial encounters. This article reports four cases of UAVF treated with Drospirenone and ethinyl estradiol tablets at Department of Gynaecology, Zhuji Maternal and Child Health Hospital between 2023 and 2024. Combined with literature review, we systematically analyzed the etiological mechanisms, clinical characteristics, and diagnostic-therapeutic strategies of this condition, with particular focus on evaluating the efficacy and safety of conservative pharmacological management. By summarizing case features and individualized treatment protocols, this study aims to provide clinical references for early identification, accurate diagnosis, and rational intervention of UAVF, thereby reducing risks of massive hemorrhage and long-term complications while improving patient prognosis.