ObjectiveThis study aims to explore the mechanism of action of Huangqi Guizhi Wuwutang in treating rheumatoid arthritis （RA）-associated sarcopenia by regulating autophagy and improving skeletal muscle homeostasis based on network pharmacology，bioinformatics，machine learning，and animal experiments. MethodsActive ingredients and targets of Huangqi Guizhi Wuwutang were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP），PubChem，and SwissTargetPrediction databases. RA-related datasets were retrieved from the GEO database，and differential genes were screened. Sarcopenia-related targets were searched through GeneCards and the Comparative Toxicology Database （CTD），and autophagy-related gene sets were downloaded from the Human Autophagy Database （HADb）. Their intersection was analyzed to identify autophagy-related therapeutic targets，followed by enrichment analysis. A protein-protein interaction （PPI） network was constructed using the STRING database，and key targets were selected using multiple methods. Machine learning was applied to predict models based on the expression profiles of intersecting targets，and nomogram models were constructed based on key targets. Molecular docking of the top four active ingredients with key targets was performed using AutoDockVina. A collagen-induced arthritis （CIA） rat model was established using bovine type Ⅱ collagen，with SD rats divided into groups including a blank group，a model group，and low-，medium-，and high-dose groups of Huangqi Guizhi Wuwutang （2.44，4.88，and 9.76 g·kg^-1） and administered for five consecutive weeks. Joint scores and gastrocnemius muscle mass were recorded and analyzed after modeling. Hematoxylin and eosin （HE） staining and Masson's staining were used to observe pathological changes in muscle tissue. Immunofluorescence staining was applied to observe the protein expression levels of myosin heavy chain （MYHC） and insulin-like growth factor-1 （IGF-1） in skeletal muscle. Western blot was used to detect the protein expression levels of autophagy-related proteins ATG5，Beclin1，LC3B，muscle-specific proteins （MuRF1），MaFbx，and MYHC. Real-time quantitative reverse transcription PCR （Real-time PCR） was performed to measure the mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，MaFbx，and MYHC in muscle tissue. ResultsNetwork pharmacology revealed that Huangqi Guizhi Wuwutang shared 25 common targets with autophagy genes related to RA-associated sarcopenia. The PPI network and machine learning identified six key targets，which were primarily involved in autophagy and inflammatory pathways. Animal experiments showed that compared to the blank group，the model group had significantly higher joint scores （P<0.01） and lower gastrocnemius muscle index （P<0.01）. HE staining indicated a significant reduction in the cross-sectional area of gastrocnemius muscle fibers，with notable inflammatory cell infiltration and muscle atrophy in the model group. Masson's staining revealed obvious collagen fiber proliferation and deposition，with significant muscle fibrosis in the model group. The protein and mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，and MaFbx were significantly increased （P<0.01），while the protein expression of MYHC and IGF1 was significantly downregulated （P<0.01）. Compared with the model group，the high-dose group of Huangqi Guizhi Wuwutang showed significantly reduced protein and mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，and MaFbx （P<0.01） and increased protein expression levels of MYHC and IGF1 （P<0.01）. The cross-sectional area of muscle fibers increased，and the muscle cell morphology approached normal. Moreover，pathological abnormalities in the gastrocnemius muscle were significantly improved，with reduced collagen fiber proliferation （P<0.01）. ConclusionHuangqi Guizhi Wuwutang can mediate autophagy by regulating the expression of ATG5，Beclin1，LC3B，and IGF1，thereby reducing skeletal muscle catabolism and improving skeletal muscle homeostasis，which contributes to the treatment of RA-associated sarcopenia. The findings provide insight into the mechanisms underlying the effects of Huangqi Guizhi Wuwutang in the treatment of RA-related sarcopenia and offer a reference for its enhanced clinical application.

Combined radiation and burn injury (CRBI) is a severe syndrome, which is induced by the simultaneous or successive radiation and burn; but no appropriate clinical therapies are available. Loong oil (LO) is a traditional Chinese medicine oil composed of the oil extracts of cuttlebone, safflower, walnut oil, and rapeseed oil, which has been demonstrated to own anti-radiation and tissue healing functions. In this study, glyceryl monostearate (GMO) was used for the preparation of lyotropic liquid crystals that loaded LO to obtain Loong oil-lyotropic liquid crystals (LOL) for the treatment of skin CRBI. The hexagonal phase structure of LOL was proved by small X-ray scattering (SAXS) analysis with an approximate 7:9:11 ratio of peaks and under the polarizing microscope with the birefringence phenomenon. LOL had a high LO loading capacity (4%) and good bio-adhesive force, favoring skin administration. Animal experiments were approved by the Ethics Committee of the Beijing Institute of Radiation Medicine, Academy of Military Medical Sciences and the experiments were conducted in accordance with relevant guidelines and regulations (approval number: IACUC-DWZX-2022-834). Compared to triethanolamine creams, LOL had higher skin permeability with total skin penetration within 1 h, benefiting the treatment of deep CRBI. A deep II degree burn CRBI mouse model was established after whole-body irradiation with 5 Gy ⁶⁰Co γ-ray and the next 6-second 100 ℃ burn injury. LOL promoted LO skin penetration, improved epithermal cell proliferation and the formation of hair follicles, accelerated wound healing, and inhibited scarring, which benefitted the therapy of CRBI. In this study, LO application fields are expanded and LO is a promising medication for the treatment of CRBI.

Cervical cancer is the 4th leading cause of female malignancy-associated mortality worldwide.Surgery and radiotherapy are the main methods of treatment for non-metastatic cervical cancer.There is no clinically effective treatment for the recurrent and metastatic cervical cancer.Therefore,it is particu-larly important to find new and more effective therapeutic targets for cervical cancer treatment.Inflamma-tory response is known to participate in different stages of tumor development.Interleukin-6(IL-6),as a tumor promoting factor,plays a very important role in the development and metastasis of cervical cancer.It has been reported that mesenchymal stem cells play an inhibitory role in a variety of tumors,but there are few reports on their internal mechanism.In addition,the development of cervical cancer is usually accompanied by an increase of IL-6.Whether MSCs can inhibit the proliferation and migration of cervical cancer cells induced by IL-6 in inflammatory conditions is still unknown.This study aimed to explore the effects and mechanism of human umbilical cord mesenchymal stem cells(HUC-MSCs)on the biological activity of HeLa cells induced by IL-6.The colony formation experiment,cell scratch assay and Transwell invasion assay demonstrated that IL-6 significantly promoted HeLa cell proliferation,migration and inva-sion(P＜0.05).Results showed that both 20％and 50％MSCs conditioned medium significantly inhib-ited IL-6-induced proliferation(P＜0.0001),migration(P＜0.01)and invasion(P＜0.0001)of HeLa cells,and IL-6 significantly up-regulated the expression of STAT3 and Bcl-2 genes(P＜0.0001)and protein(P＜0.01)in the anti-apoptosis signaling pathway.At the same time,the expression of AMPK,TSC1 and TSC2 genes was down-regulated(P＜0.001),leading to the up-regulation of metabo-lism related mTOR gene(P＜0.01)and protein(P＜0.05).Furthermore,20％MSCs conditioned medium down-regulated the mRNA and protein expression of STAT3 and Bcl-2(P＜0.05).And 50％MSCs conditioned medium down-regulated the STAT3/Bcl-2 signaling pathway(P＜0.01),up-regula-ted the AMPK/mTOR signaling pathway(P＜0.05)and induced cell cycle arrest(P＜0.0001)signif-icantly in HeLa cells.In summary,MSCs conditioned medium inhibited IL-6-induced HeLa cell prolifer-ation,migration and invasion by down-regulating STAT3 signaling pathway and up-regulating AMPK sig-naling pathway.The results of this study are helpful to further elucidate the role and mechanism of IL-6 in the development of cervical cancer,and provide experimental basis for searching for therapeutic targets of cervical cancer.

Objective:To explore the efficacy and prognosis factors of acute myeloid leukemia with a combination therapy of venetoclax.Methods:A retrospective analysis was performed on the clinical data of AML patients treated with a combination therapy of venetoclax from March 2020 to April 2023 in the First Hospital of Lanzhou University.The efficacy,adverse reactions and survival were observed,and the influencing factors were analyzed.Results:A total of 74 AML patients were included in this study,including 43 initially treated AML and 31 relapsed or refractory AML(R/R AML).The median age of 43 initially treated AML patients was 65 years old,the composite complete remission(cCR)rate was 67.4％(29/43),the objective response rate(ORR)was 72.1％(31/43),and the median overall survival(OS)was 17.3 months.The median age of 31 R/R AML patients was 51 years old,with a cCR rate of 38.7％(12/31),an ORR of 58.1％(18/31),and a median OS of 7.1 months.Sex,the blood cell count before VEN,gene mutation and prognosis stratification were related to whether to obtain cCR.Failure to obtain cCR was an independent risk factor for adverse outcomes.Conclusion:A combination therapy of venetoclax is safe and efficacious for AML.Its efficacy and survival are affected by molecular biology,cytogenetics and other factors.

Objective:To explore the correlation between gene mutations and clinical characteristics,prognosis of myelodysplastic syndromes(MDS).Methods:Clinical data of 131 patients with MDS were collected from the First Hospital of Lanzhou University from June 2015 to February 2023,which 19 of them developed into secondary acute myeloid leukemia(sAML)during follow-up time.Second generation sequencing technology was used to detect the mutation types of MDS disease-related genes,drawn gene maps,and analyzed their correlation and prognosis based on the clinical data of patients.Results:The median age of 131 MDS patients was 58(17-86)years old.The ratio of male to female was 1.3:1.A total of 148 gene mutations and 25 types were found in the center.U2AF1 and ASXL1 were often co-mutations with other genes,which were accompanied by 20q-and normal karyotype(NK)respectively.SETBP1 and SRSF2 were more common in patients over 60 years old,while NPM1 and WT1 under 60 years.Older patients had a higher the number of genetic mutations than younger patients.The incidence of SF3B1 and RUNX1 in males was higher than females and DNMT3A in females was higher than males.The number of gene mutations in sAML was higher than MDS(1.8 vs 1.0,P=0.006).The univariate and multivariate analysis showed that IPSS-R prognostic score≥ 3.5,TP53 were adverse factors for poor prognosis in MDS patients.Patients with monoallelic mutation(ma-TP53)and wild-type(wt-TP53)TP53 had OS better than biallelic mutation(bi-TP53)(P=0.003).The OS of MDS patients was better than sAML(P=0.01)and transplant patients was significantly better than non-transplant patients(P=0.036).Conclusion:Gene mutation is closely related to cytogenetic indexes and clinical features(peripheral blood cell count,sex,age).IPSS-R prognostic score and TP53 were risk factors affecting OS in MDS patients.

Objective:To establish a morphologic classification system for characterizing blast cells in patients with acute promyelocytic leukemia(APL)and analyze the correlation of different APL morphologic characteristics with conventional tests and genetic variants.Methods:Based on the morphological characteristics of APL blast cells,a classification system of 14 categories was established to characterize the inter-and intra-individual cellular morphological heterogeneity of patients.The classification system was used for the morphological analysis of 40 APL patients,and the classification results were statistically analyzed with the patients'conventional test indexes and gene variant characteristics to analyze the correlation of different APL blast cell morphological features with conventional test indexes and gene variants.Results:In the FLT3-ITD mutation-positive group,there were significantly fewer cells with regular nuclear shape,hyper granularity,and missing Auer rods(category 1)than in the FLT3 mutation-negative group(P＜0.05).The activated partial thromboplastin(APTT)was significantly longer in the group with regular nucleus compared to the group with irregular nucleus(P＜0.05).In the hypo-granular group,the APTT was also significantly longer compared to the hyper-granular group(P＜0.01),and the proportion of myeloid blast cells was relatively lower(P＜0.05).The peripheral blood white blood cell counts,D-dimer,lactate dehydrogenase and proportion of bone marrow blast cells were significantly higher in the Auer rods(-)group than Auer rods increasing group(all P＜0.05).Conclusion:The newly established morphologic classification system in this study can objectively characterize different types of APL blast cells,which helps to better assess the intra-and inter-individual heterogeneity of APL blast cells,and further use in accurately analyzing the correlation of morphological phenotypes with biological properties of APL.

Objective:To observe the changes in the nutritional status of pediatric patients after allogeneic hematopoietic stem cell transplantation(allo-HSCT)for one year,and to analyze the risk factors.Methods:We collected data from 88 pediatric patients who underwent allo-HSCT at the Department of Hematology and Oncology in Children's Hospital of Nanjing Medical University between May 2018 and November 2022.All pediatric patients underwent nutritional status analysis before transplantation,at enrollment,3 months,6 months and 1 year after allo-HSCT.Linear regression model was used to analyze the risk factors for growth rate.Results:The body mass index Z score(BMI-Z)before allo-HSCT was(0.096±1.349),and decreased to(-0.258±1.438)、(-0.715±1.432)、(-0.584±1.444)at enrollment,3 months,6 months after allo-HSCT,and(-0.130±1.317)at 1 year after allo-HSCT(P<0.001).There was no significant change in BMI-Z between pre-transplantation and 1 year after transplantation(P=1.000).Height for age Z score(HAZ)before transplantation was(0.137±1.305)and decreased to(-0.083±1.267)、(-0.221±1.299)、(-0.269±1.282)in 3 months,6 months and 1 year after allo-HSCT(P<0.001).Multivariate linear regression showed that age≥10 years old(P=0.015)and chronic graft-versus-host disease(cGVHD)(P=0.005)were independent risk factors for change in HAZ.Conclusion:The BMI-Z of pediatric patients treated with allo-HSCT returned to the pre-transplantation level after one year,while HAZ continued to decrease.Allo-HSCT may cause impaired growth rate in pediatric patients.Attention should be paid to HAZ changes in pediatric patients before and after allo-HSCT,especially in pediatric patients≥10 years old of age and those with cGVHD.Effective nutritional intervention should be provided in time.

Piperazines are a class of new psychoactive substances with hallucinogenic effects that af-fect the central nervous system by affecting the level of monoamine neurotransmitters.Abuse of pipera-zines will produce stimulating and hallucinogenic effects,accompanied by headache,dizziness,anxiety,insomnia,vomiting,chest pain,tachycardia,hypertension and other adverse reactions,and may even cause cardiovascular diseases and multiple organ failure and lead to death,seriously affecting human physical and mental health and public safety.The abuse of new psychoactive substance piperazines has attracted extensive attention from the international community.The study of its pharmacological toxi-cology and analytical methods has become a research hotspot in the field of forensic medicine.This paper reviews the in vivo processes,sample treatment and analytical methods of existing piperazines,in order to provide reference for forensic identification.

Objective To develop a GIS-based 3D playback system for the flight human-plane data to realize the fusion of pilots'airborne flight data and physiological data.Methods The 3D playback system was developed with the Browser/Server(B/S)architecture,micro-server model,Java language and Spring Cloud technology framework,which was composed of three functional modules for flight process reproduction,physiological situational awareness and critical event calibration analysis.Results The system developed achieved time synchronization and data fusion of airborne flight data and physiological data with a time synchronization frequency of 1 Hz and a refresh rate of not less than 120 frames/s.Conclusion The system developed with high safety,stability,reliability and accuracy facilitates pilot in-flight physiological monitoring and fusion and simultaneous display of airborne flight data and physiological data,which can be used as an important platform for decision-making support in flight training.[Chinese Medical Equipment Journal,2024,45(10):14-19]

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.