BACKGROUND:The prevalence of osteoporosis is high in postmenopausal women,but muscle mass,grip strength,and how these factors affect osteoporosis are understudied,and the exact link between them has not been clarified.OBJECTIVE:To investigate the correlation between muscle mass,grip strength,appendicular skeletal muscle index and bone mineral density in postmenopausal women with osteoporosis and to assess the potential values of these indices in predicting and diagnosing postmenopausal osteoporosis.METHODS:Eighty-three postmenopausal women were collected from the outpatient clinic of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from February 2023 to January 2024.General data were collected.Bone mineral density was detected.T-value,muscle mass of each part,grip strength were recorded.The body mass index and appendicular skeletal muscle index were calculated.The patients were categorized into non-osteoporosis group(n=17)and postmenopausal osteoporosis group(n=66)according to T value and fracture history,and were statistically analyzed accordingly.RESULTS AND CONCLUSION:(1)The body mass,body mass index,bone mineral density of the overall lumbar spine,muscle mass and appendicular skeletal muscle index were higher in the non-osteoporosis group than the osteoporosis group(P＜0.05).(2)Muscle mass was positively correlated with bone mineral density of the overall lumbar spine and individual vertebrae(P＜0.05).(3)Multiple stepwise linear regression analysis showed that body mass and grip strength were linearly and positively correlated with muscle mass;body height and muscle mass were linearly and positively correlated with grip strength,and body mass was linearly and negatively correlated with grip strength.Body mass index was linearly and positively correlated with bone mineral density,and age was linearly and negatively correlated with bone mineral density.(4)Analysis by receiver operating characteristic curve showed that:muscle mass(the area under the curve,sensitivity,specificity and critical value of muscle mass were 0.744,76.50％,74.20％and 36.50 kg,respectively,with P=0.002)and appendicular skeletal muscle index(the area under the curve,sensitivity,specificity and critical value of appendicular skeletal muscle index were 0.739,82.40％,62.10％and 5.81 kg/m2,respectively,and P=0.002)had good predictive value for postmenopausal osteoporosis.To conclude,a reduction in muscle mass and appendicular skeletal muscle index can help to predict the risk of postmenopausal osteoporosis,and the possibility of osteoporosis should be taken into account in postmenopausal women when muscle mass is＜36.50 kg or appendicular skeletal muscle index is＜5.81 kg/m2,in order to prevent the occurrence of postmenopausal osteoporosis.

BACKGROUND:The prevalence of osteoporosis is high in postmenopausal women,but muscle mass,grip strength,and how these factors affect osteoporosis are understudied,and the exact link between them has not been clarified.OBJECTIVE:To investigate the correlation between muscle mass,grip strength,appendicular skeletal muscle index and bone mineral density in postmenopausal women with osteoporosis and to assess the potential values of these indices in predicting and diagnosing postmenopausal osteoporosis.METHODS:Eighty-three postmenopausal women were collected from the outpatient clinic of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from February 2023 to January 2024.General data were collected.Bone mineral density was detected.T-value,muscle mass of each part,grip strength were recorded.The body mass index and appendicular skeletal muscle index were calculated.The patients were categorized into non-osteoporosis group(n=17)and postmenopausal osteoporosis group(n=66)according to T value and fracture history,and were statistically analyzed accordingly.RESULTS AND CONCLUSION:(1)The body mass,body mass index,bone mineral density of the overall lumbar spine,muscle mass and appendicular skeletal muscle index were higher in the non-osteoporosis group than the osteoporosis group(P＜0.05).(2)Muscle mass was positively correlated with bone mineral density of the overall lumbar spine and individual vertebrae(P＜0.05).(3)Multiple stepwise linear regression analysis showed that body mass and grip strength were linearly and positively correlated with muscle mass;body height and muscle mass were linearly and positively correlated with grip strength,and body mass was linearly and negatively correlated with grip strength.Body mass index was linearly and positively correlated with bone mineral density,and age was linearly and negatively correlated with bone mineral density.(4)Analysis by receiver operating characteristic curve showed that:muscle mass(the area under the curve,sensitivity,specificity and critical value of muscle mass were 0.744,76.50％,74.20％and 36.50 kg,respectively,with P=0.002)and appendicular skeletal muscle index(the area under the curve,sensitivity,specificity and critical value of appendicular skeletal muscle index were 0.739,82.40％,62.10％and 5.81 kg/m2,respectively,and P=0.002)had good predictive value for postmenopausal osteoporosis.To conclude,a reduction in muscle mass and appendicular skeletal muscle index can help to predict the risk of postmenopausal osteoporosis,and the possibility of osteoporosis should be taken into account in postmenopausal women when muscle mass is＜36.50 kg or appendicular skeletal muscle index is＜5.81 kg/m2,in order to prevent the occurrence of postmenopausal osteoporosis.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

ObjectiveTo predict the mechanism through which Shasheng Maidong Tang enhances the efficacy of chemotherapy for lung cancer via network pharmacology and validate the prediction results in animal experiments. MethodsThe potential mechanism through which Shasheng Maidong Tang enhances the efficacy of chemotherapy for lung cancer was predicted by network pharmacology， liquid chromatography-mass spectrometry （LC-MS）， and molecular docking methods. C57/BL6 mice were assigned into normal， model， cisplatin， and Shasheng Maidong Tang+cisplatin groups. In addition to the normal group， the remaining groups were injected subcutaneously with 0.2 mL of 1×10⁷ cells·mL^-1 Lewis lung cancer cells to establish the Lewis lung cancer model. The daily gavage dose of Shasheng Maidong Tang was 3.58 g·kg^-1， and the concentration of cisplatin intraperitoneally injected on every other day was 2 mg·kg^-1. Drugs were administered for 14 d. The changes in the tumor volume and the rate of tumor suppression were monitored， and the tumor histopathological changes were observed by hematoxylin-eosin （HE） staining. Enzyme-linked immunosorbent assay was employed to measure the interleukin （IL）-6 and interferon （IFN）-γ levels in peripheral blood. Real-time PCR was performed to quantify the mRNA levels of Janus kinase 2 （JAK2）， signal transducer and activator of transcription 1 （STAT1）， and signal transducer and activator of transcription 3 （STAT3） in the tumor tissue of mice. Western blot was employed to determine the protein levels of JAK2， STAT3， B-cell lymphoma-2 （Bcl-2）， cysteinyl aspartate-specific proteinase-3 （Caspase-3）， and Pim-1 proto1 （PIM1） in the tumor tissue. Immunohistochemistry was employed to detect the expression of Bcl-2 and PIM1 in the tumor tissue. ResultsNetwork pharmacological predictions indicated that Shasheng Maidong Tang might enhance the efficacy of chemotherapy for lung cancer by regulating nitrogen metabolism， AGE-RAGE signaling pathway， cancer pathway， and JAK/STAT signaling pathway. The experimental results demonstrated that tumor volume in the cisplatin group and Shasheng Maidong Tang+cisplatin group was reduced compared with the model group， with statistically distinct differences observed on days 14， 17， 20 post modeling （P<0.05）. Notably， the Shasheng Maidong Tang+cisplatin therapy further decreased tumor volume compared with the cisplatin group， showing marked reductions on days 17 and 20 （P<0.05）， consistent with trends visualized in tumor volume comparison charts. The Shasheng Maidong Tang+cisplatin group exhibited higher tumor inhibition rate than the cisplatin group （P<0.05）. Histopathological analysis via HE staining revealed that the tumors in the model group displayed frequent nuclear mitosis， densely arranged cells， hyperchromatic nuclei， and no necrosis. Cisplatin treatment induced partial necrosis and vacuolization， while the Shasheng Maidong Tang+cisplatin group exhibited extensive necrotic regions， maximal vacuolization， disarranged tumor cells， and minimal mitotic activity. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin group showed elevated level of IFN-γ （P<0.01） and declined level of IL-6 （P<0.01） in the peripheral blood. Compared with the cisplatin group， the Shasheng Maidong Tang+cisplatin group presented elevated level of IFN-γ （P<0.01） and lowered level of IL-6 （P<0.01） in the peripheral blood. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin groups showed down-regulated mRNA levels of JAK2 and STAT3 （P<0.01） and up-regulated mRNA level STAT1 （P<0.01）. Compared with the cisplatin group， the Shasheng Maidong Tang+cisplatin group presented down-regulated mRNA levels of JAK2 and STAT3 （P<0.01） and up-regulated mRNA level of STAT1 （P<0.01）. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin group showed down-regulated protein levels of JAK2 （P<0.01）， Bcl-2 （P<0.01）， PIM1 （P<0.01）， and STAT3 （P<0.05）， and up-regulated protein level of Caspase-3 （P<0.01）. Compared with the cisplatin group， Shasheng Maidong Tang+cisplatin group presented down-regulated protein levels of JAK2 （P<0.01）， Bcl-2 （P<0.01）， PIM1 （P<0.01）， STAT3 （P<0.05）， and up-regulated protein level of Caspase-3 （P<0.01）. The Bcl-2 and PIM1 expression results obtained by immunohistochemistry were consistent with those of Western blot. ConclusionShasheng Maidong Tang may enhance the efficacy of chemotherapy in the mouse model of Lewis lung cancer by regulating the JAK2/STAT3 signaling pathway.

Renal lymphatic vessel density is clinically relevant in kidney disease but is still assessed by slow, subjective visual estimation. We evaluated a weakly supervised, attention-based multiple-instance learning framework for automated detection and quantification of renal lymphatic vessel density on D2-40-stained whole-slide images (WSIs). Methods: Two independent internal datasets from Tongji Hospital were collected, including 198 cases of chronic kidney disease (CKD) and 50 cases of hypertensive nephropathy (HTN). All biopsies were immunohistochemically stained for D2-40 and digitized as WSIs. Pathologists provided only slide-level labels (D2-40 high vs. D2-40 low). Tissue regions were automatically segmented, tiled into patches, and encoded using a pretrained convolutional neural network. Patch embeddings were then analyzed with a clustering-constrained attention multiple-instance learning (CLAM) model. Unlike conventional multiple-instance learning (MIL) methods that only weight instances, CLAM jointly performs attention-based instance selection and instance-level clustering to distinguish positive from negative evidence within each slide, yielding more discriminative slide-level features and interpretable attention maps. Performance was compared with a classic MIL model trained on the same features. Results: CLAM achieved area under the receiver operating characteristic curves of 0.942 and 0.858 on the CKD and HTN datasets, respectively, outperforming classic MIL (0.866 and 0.801). Attention maps highlighted lymphatic-rich regions consistent with renal pathologists’ assessments. Conclusions: This clustering-constrained, attention-based weakly supervised framework enables fully automated, reproducible quantification of renal lymphatic vessel density from WSIs, providing renal pathologists with rapid visual and numerical support for diagnosis and risk stratification in CKD and HTN.

ObjectiveTo investigate the protective effect of artemitin against ozone (O₃)-induced pulmonary inflammation in mice and to explore its underlying mechanism. MethodsThirty-two specific pathogen-free (SPF) male C57BL/6 mice were randomly divided into a blank control group, an artemitin-only control group, an O₃-induced model group, and an artemitin-treated group, with 8 mice in each group. In the artemitin-treated group, animals were injected intraperitoneally with artemitin (20 mg/kg) daily, followed by a 1 h exposure to 0.000 25% O₃. The artemitin-only control group received the same artemitin injection but was exposed to clean air. The O₃-induced model group was injected intraperitoneally with an equal volume of normal saline daily, followed by a 1-h exposure to 0.000 25% O₃. The blank control group received the saline injection and was exposed to clean air. All treatments were administered for 7 consecutive days. Pulmonary function indices of the mice in each group were measured using a whole-body plethysmography system. The levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in bronchoalveolar lavage fluid (BALF) were detected by enzyme-linked immunosorbent assay (ELISA). Hematoxylin-eosin (HE) staining was used to observe the histopathological changes in the lung tissue, and ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was employed for untargeted metabolomic analysis to examine the changes in overall metabolic pathways in plasma. ResultsCompared with the O₃-induced model group, artemitin treatment significantly improved O₃-induced lung function impairments (P<0.05), lowered the levels of TNF-α and IL-1β in BALF (P<0.05) and alleviated inflammatory cell infiltration and structural damage in lung tissues. Metabolomics results indicated that artemitin treatment compensatorily enhanced energy supply and oxidized lipid signaling, while inhibiting purine metabolism and tryptophan-derived pathways. ConclusionArtemitin exhibits a significant protective effect against O₃-induced pulmonary inflammation in mice. It corrects upstream metabolic disorders by synergistically modulating tryptophan metabolism, energy metabolism, and lipid inflammatory mediators, thereby inhibiting downstream inflammatory responses and airway hyperresponsiveness. This study not only reveals the pleiotropic mechanism of artemitin in treating airway inflammation but also provides potential metabolic biomarkers and a theoretical basis for its clinical translation.

Objective:To establish a quality and safety evaluation index system for the daytime chemotherapy in the Day Medical Management Quality Control Center of Fujian Province, providing references for objectively evaluating the quality of day chemotherapy.Methods:From December 2023 to August 2024, this study screened the initial indexes of the quality and safety evaluation index system for daytime chemotherapy through literature search and expert discussions. An index system and its weights were determined by using two rounds of Delphi method and precedence chart method. The quality of daytime chemotherapy services in 8 hospitals was evaluated by using a thousand point scale checklist based on this index system.Results:The expert motivation of both rounds of Delphi method was 100%, and the expert authority coefficient was 0.92. The quality and safety evaluation index system for daytime chemotherapy included 3 first-level indicators, 13 second-level indicators, and 54 third-level indicators; Among them, the weights of the first-level indicator included structure quality, process quality, and result quality were 0.334, 0.556, and 0.110, respectively. The quality and safety scores of daytime chemotherapy in 8 hospitals ranged from 812 to 980 points, with an average of 933 points.Conclusions:The quality and safety evaluation index system for daytime chemotherapy could objectively and comprehensively evaluate the quality and safety of hospital daytime chemotherapy.

Objective To analyze the factors influencing iodine nutritional status in pregnant women dur-ing pregnancy,based on thyroid function and thyroid autoantibody levels,and to explore the association between iodine nutritional abnormalities and pregnancy outcomes.Methods A total of 838 pregnant women who underwent routine prenatal checkups at Qinghai Provincial People's Hospital between January 2021 and June 2023 were pro-spectively enrolled in this study.All participants were followed until delivery.Seven cases were lost to follow-up,resulting in a final sample size of 831 participants.Among them,276 were in the first trimester,384 in the second trimester,and 171 in the third trimester.Data on urinary iodine concentration(UIC),urinary creatinine(UCr),thyroid function indicators,and thyroid autoantibodies were collected.Based on their iodine nutritional status,the participants were categorized into either the iodine-sufficient group or the iodine-abnormal group(including iodine-deficient,iodine-hyper-sufficient,and iodine-excessive subgroups).This study analyzed the iodine nutritional sta-tus of pregnant women during different gestational periods,compared thyroid function indices,prevalence of thy-roid diseases,and the positivity rates of thyroid peroxidase antibody(TPOAb),thyroglobulin antibody(TGAb),and thyroid-stimulating hormone receptor antibody(TRAb)among different iodine status groups.Additionally,ad-verse pregnancy outcomes were compared across groups.Multivariate logistic regression analysis was conducted to identify risk factors associated with iodine abnormalities during pregnancy,and a predictive model was developed to assess its potential predictive value.Results Among the 831 pregnant women included in the study,373 cases(44.89％)exhibited iodine sufficiency,while 458 cases(55.11％)presented with iodine abnormalities,including 282 cases of iodine deficiency,144 cases of iodine hypersufficiency,and 32 cases of iodine excess.No statistically significant differences were observed in the iodine nutritional status across different trimesters(P>0.05).The se-rum level of thyroid-stimulating hormone(TSH)was significantly higher in the iodine abnormal group compared to the iodine sufficient group(P<0.05).Additionally,the iodine abnormal group demonstrated higher positivity rates of TPOAb alone,TGAb,and TRAb,as well as increased incidence of thyroid dysfunction and total adverse pregnancy outcomes compared to the iodine sufficient group(all P<0.05).These adverse indicators were also sig-nificantly elevated in the iodine-deficient,iodine super-sufficient,and iodine overdose subgroups compared to the iodine sufficient group(P<0.05).Elevated serum TSH levels and the presence of TPOAb,TGAb,and TRAb were identified as risk factors for iodine abnormalities during pregnancy(P<0.05).The predictive model con-structed for identifying iodine abnormalities in pregnant women demonstrated an area under the curve(AUC)of 0.876,with a sensitivity of 72.27％and a specificity of 89.01％.Conclusions The prevalence of iodine nutritional abnormalities among pregnant women during pregnancy was high,with most cases presenting iodine deficiency.These abnormalities were associated with thyroid function,thyroid autoimmunity,and pregnancy outcomes,but showed no significant correlation with gestational age.Furthermore,the prediction model developed based on iden-tified risk factors demonstrated effective performance in predicting iodine nutritional abnormalities during preg-nancy.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.