ObjectiveTo elucidate the efficacy connotation of Shudi Qiangjin pills （SQP） against liver and kidney deficiency in steroid-induced osteonecrosis of femoral head （SONFH） from the perspective of the "disease-syndrome-formula" association and to clarify the underlying mechanisms based on in vivo and in vitro experiment validation. MethodsThe chemical components and the corresponding putative targets of SQP were collected from the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP） v2.0， the Encyclopedia of Traditional Chinese Medicine （ETCM） v2.0， and HERB databases. The SONFH-related genes were identified based on the differential expression profiles of peripheral blood of patients with SONFH compared to the healthy volunteers， and the disease phenotype-related targets were collected from the TCMIP v2.0 database. Then， the interaction network of "SONFH-related genes and candidate targets of SQP" was constructed based on "gene-gene interaction information"， and the major network targets were screened by calculating the topological characteristic values of the network followed by the functional mining according to the Kyoto Encyclopedia of Genes and Genomes （KEGG） database and the SoFDA database. After that， the SONFH rat model was prepared by lipopolysaccharide combined with methylprednisolone injection， and 2.5， 5， 7.5 g·kg^-1 SQP （once per day， equivalent to 1， 2， and 3 times the clinical equivalent dose， respectively） or 7.3×10^-3 g·kg^-1 of alendronate sodium （ALS， once per week， equivalent to the clinical equivalent dose） was given for 8 weeks. The effect characteristics of SQP and ALS in the treatment of SONFH were evaluated by micro-computed tomography scanning， hematoxylin and eosin staining， alkaline phosphatase （ALP） staining， immunohistochemical staining， enzyme-linked immunosorbent assay， and terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling（TUNEL）staining， and a comparative efficacy analysis was conducted with ALS. In addition， SONFH cell models were prepared by dexamethasone stimulation of osteoblasts， and the intervention was carried out with the medicated serum of SQP at the aforementioned three doses. Cell counting kit-8， ALP staining， ALP activity assay， alizarin red staining， and flow cytometry were employed to investigate the regulatory effect of SQP on osteoblasts. The expression levels of osteogenesis-related proteins and key factors of the target signaling axis were detected by quantitative real-time polymerase chain reaction and Western blot. ResultsThe network analysis results demonstrated that the candidate targets of SQP primarily exerted their therapeutic effects through key signaling pathways， including phosphoinositide 3-kinase（PI3K）/protein kinase B（Akt）， lipid metabolism and atherosclerosis， prolactin， chemokines， and neurotrophic factors pathways. These pathways were significantly involved in critical biological processes such as muscle and bone metabolism and the regulation of the "neuro-endocrine-immune" network， thereby addressing both modern medical symptoms （e.g.， delayed skeletal maturation and recurrent fractures） and traditional Chinese medicine （TCM） symptoms （e.g.， fatigue， aversion to cold， cold limbs， and pain in the limbs and joints in patients with SONFH characterized by liver and kidney deficiency syndrome. Among these pathways， the PI3K/Akt signaling pathway exhibited the highest degree of enrichment. The in vivo experimental results demonstrated that starting from the 4^th week after modeling， the modeling group exhibited a significant reduction in body weight compared to the control group （P<0.05）. After six weeks of treatment， all dosage groups of SQP showed significantly higher body weights compared to the model group （P<0.01）. Compared with the normal group， the model group exhibited significant decreases in bone mineral density （BMD）， bone volume fraction （BV/TV）， trabecular number （Tb.N）， osteocalcin （OCN）， alkaline phosphatase （ALP） levels in femoral head tissue， and serum bone-specific alkaline phosphatase （BALP） （P<0.01）， along with significant increases in trabecular separation （Tb.Sp）， empty lacunae rate in tissue， and apoptosis rate （P<0.01）. In comparison to the model group， the SQP intervention groups showed significant improvements in BMD， BV/TV and Tb.N （P<0.01）， significant reductions in Tb.Sp， empty lacunae rate and apoptosis rate （P<0.05）， and significant increases in protein levels of OCN and ALP as well as BALP content （P<0.05）. The in vitro experimental results revealed that all dosage groups of SQP medicated serum showed no toxic effects on osteoblast. Compared with the normal group， the model group displayed significant suppression of osteoblast proliferation activity， ALP activity， and calcified nodule formation rate （P<0.01）， significant decreases in mRNA transcription levels of OCN and Runt-related transcription factor 2 （RUNX2） （P<0.01）， significant reductions in protein content of osteopontin （OPN）， typeⅠ collagen （ColⅠ）A1， B-cell lymphoma-2 （Bcl-2）， PI3K， and phosphorylated （p）-Akt （P<0.01）， and a significant increase in apoptosis rate （P<0.01）. Compared with the model group， the SQP medicated serum intervention groups exhibited significant increases in proliferation activity， ALP activity， calcified nodule formation rate， mRNA transcription levels of OCN and RUNX2， and protein content of OPN， ColⅠA1， Bcl-2， PI3K， and p-Akt （P<0.05）， along with a significant decrease in apoptosis rate （P<0.01）. ConclusionSQP can effectively reduce the disease severity of SONFH with liver and kidney deficiency syndrome and improve bone microstructure， with the therapeutic effects exhibiting a dose-dependent manner. The mechanism may be related to its regulation of key processes such as muscle and bone metabolism and the correction of imbalances in the "neuro-endocrine-immune" network， thereby promoting osteoblast differentiation and inhibiting osteoblast apoptosis. The PI3K/Akt signaling axis is likely one of the key pathways through which this formula exerts its effects.

Objective: The effects and molecular mechanisms of micheliolide on cytokine expression in myeloproliferative neoplasm cell lines were explored based on the signal transducer and activator of transcription 3 (STAT3)/nuclear factor-kappa B (NF-κB) signaling pathways. Methods: The UKE-1 and SET-2 cell lines were investigated, and micheliolide concentrations were screened using the CCK-8 assay. The UKE-1 and SET-2 cells were divided into the control and micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L. Each group received 1 mL of micheliolide solution at final concentrations of 2.5, 5.0, and 10.0 μmol/L, respectively, whereas the control group only received an equal volume of culture medium. The inhibition rates of interleukin-1β(IL-1β), tumor necrosis factor-α (TNF-α), and chemokine ligand 2 (CCL2) mRNA expression in cells from each group were detected using real-time fluorescent PCR (RT-PCR). Western blotting was used to measure STAT3 and phosphorylated STAT3 (p-STAT3) protein expression levels in cells from each group. Reversal experiments with reduced glutathione and dithiothreitol were performed using UKE-1 cells, which were divided into the control group, micheliolide, micheliolide + glutathione, micheliolide + dithiothreitol, and glutathione + dithiothreitol groups. Western blotting was used to detect the STAT3 and p-STAT3 protein expression levels in the cells of each group. UKE-1 cells were stimulated with TNF-α (5 μg/L) to replicate a pathological model of excessive cytokine secretion. Subsequently, UKE-1 cells were divided into the control, model, and three micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L. RT-PCR was used to measure the indicators above. An enzyme-linked immunosorbent assay (ELISA) was used to detect the CCL2 content in the cell culture media of each group. Western blotting was performed to assess the protein expression levels of STAT3, p-STAT3, and proteins related to the NF-κB signaling pathway. Results: Compared with the control group, the proliferation inhibition rates of UKE-1 cells at 24, 48, and 72 h increased in the micheliolide-treated groups at concentrations of 2.5, 5.0, 10.0, and 20.0 μmol/L. Similarly, the proliferation inhibition rates of SET-2 at 48 and 72 h increased in the micheliolide-treated groups at concentrations of 5.0, 10.0, and 20.0 μmol/L (P<0.05). Concentrations of 2.5, 5.0, and 10.0 μmol/L were selected for further studies to exclude the potential influence of high micheliolide concentrations on subsequent result owing to reduced cell numbers. Compared with the control group, the inhibition rates of TNF-α mRNA expression in UKE-1 and SET-2 cells increased in the micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L. Similarly, the inhibition rates of IL-1β mRNA expression in UKE-1 and SET-2 cells also increased in the micheliolide-treated groups at concentrations of 5.0 and 10.0 μmol/L. Additionally, the inhibition rate of CCL2 mRNA expression in UKE-1 and SET-2 cells increased in the micheliolide-treated group at a concentration of 10 μmol/L (P<0.05). Compared with the model group, the inhibition rates of TNF-α, IL-1β, and CCL2 mRNA expression in UKE-1 cells increased in the micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L after stimulation with TNF-α (P<0.05). ELISA showed that compared with the control group, the CCL2 content in UKE-1 cells increased in the model group. Compared with the model group, the CCL2 content in UKE-1 cells decreased in the micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L (P<0.05). Western blotting showed that compared with the control group, the p-STAT3 protein expression levels in UKE-1 and SET-2 cells were downregulated in the micheliolide-treated groups at concentrations of 5.0 and 10.0 μmol/L, and the protein expression level of STAT3 in SET-2 was also downregulated (P<0.05). Compared with the control group, the p-STAT3 expression level in UKE-1 cells decreased in the micheliolide group in the reductive glutathione and dithiothreitol reversal experiments. Compared with the micheliolide group, the p-STAT3 protein expression levels in UKE-1 cells increased in the micheliolide + dithiothreitol and micheliolide + glutathione groups (P<0.05). Compared with the control group, the model group showed increased p-STAT3, p-IκKα/β, p-IκBα, and p-NF-κB p65 protein expression and decreased IκBα protein expression after stimulation with TNF-α. Compared with the model group, the micheliolide-treated groups showed decreased p-IκKα/β, p-IκBα, p-STAT3, and p-NF-κB p65 protein expression at concentrations of 2.5, 5.0, and 10.0 μmol/L, whereas the micheliolide-treated groups showed increased IκBα protein expression at concentrations of 5.0 and 10.0 μmol/L (P<0.05). Conclusion Micheliolide potently suppresses IL-1β, TNF-α, and CCL2 mRNA expression in UKE-1 and SET-2 cells, as well as CCL2 secretion by UKE-1 cells, which may be associated with STAT3 phosphorylation suppression and NF-κB signaling pathway activation.

ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and to establish a predictive model. MethodsA total of 217 patients who were diagnosed with decompensated hepatitis C cirrhosis and were admitted to The Third People’s Hospital of Kunming l from January， 2019 to December， 2022 were enrolled， among whom 63 patients who were readmitted within at least 1 year and had no portal hypertension-related complications were enrolled as recompensation group， and 154 patients without recompensation were enrolled as control group. Related clinical data were collected， and univariate and multivariate analyses were performed for the factors that may affect the occurrence of recompensation. The independent-samples t test was used for comparison of normally distributed measurement data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed measurement data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and the receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model. ResultsAmong the 217 patients with decompensated hepatitis C cirrhosis， 63 （29.03%） had recompensation. There were significant differences between the recompensation group and the control group in HIV history （χ²=4.566， P=0.034）， history of partial splenic embolism （χ²=6.687， P=0.014）， Child-Pugh classification （χ²=11.978， P=0.003）， grade of ascites （χ²=14.229， P<0.001）， albumin （t=4.063， P<0.001）， prealbumin （Z=-3.077， P=0.002）， high-density lipoprotein （t=2.854， P=0.011）， high-sensitivity C-reactive protein （Z=-2.447， P=0.014）， prothrombin time （Z=-2.441， P=0.015）， carcinoembryonic antigen （Z=-2.113， P=0.035）， alpha-fetoprotein （AFP） （Z=-2.063， P=0.039）， CA125 （Z=-2.270， P=0.023）， TT3 （Z=-3.304， P<0.001）， TT4 （Z=-2.221， P=0.026）， CD45⁺ （Z=-2.278， P=0.023）， interleukin-5 （Z=-2.845， P=0.004）， tumor necrosis factor-α （Z=-2.176， P=0.030）， and portal vein width （Z=-5.283， P=0.005）. The multivariate analysis showed that history of partial splenic embolism （odds ratio ［OR］=3.064， P=0.049）， HIV history （OR=0.195， P=0.027）， a small amount of ascites （OR=3.390， P=0.017）， AFP （OR=1.003， P=0.004）， and portal vein width （OR=0.600， P<0.001） were independent influencing factors for the occurrence of recompensation in patients with decompensated hepatitis C cirrhosis. The ROC curve analysis showed that HIV history， grade of ascites， history of partial splenic embolism， AFP， portal vein width， and the combined predictive model of these indices had an area under the ROC curve of 0.556， 0.641， 0.560， 0.589， 0.745， and 0.817， respectively. ConclusionFor patients with decompensated hepatitis C cirrhosis， those with a history of partial splenic embolism， a small amount of ascites， and an increase in AFP level are more likely to experience recompensation， while those with a history of HIV and an increase in portal vein width are less likely to experience recompensation.

ObjectiveTo investigate the association between albumin （Alb） and recompensation by comparing recompensation rate between hepatitis B/C virus-related decompensated liver cirrhosis patients with different Alb levels， and to provide guidance for the identification and management of high-risk patients in clinical practice. MethodsRelated clinical data were collected from 734 patients with hepatitis B/C virus-related decompensated liver cirrhosis who attended The Third People’s Hospital of Kunming from January 1， 2016 to December 31， 2022， and they were divided into three groups based on the level of Alb. The linear regression analysis and chi-square test were used for trend tests. The Kaplan-Meier curve was plotted for the cumulative incidence rate of recompensation in the three groups， and the log-rank test was used for comparison between groups. A Cox proportional-hazards regression model analysis was used to investigate the association between Alb and recompensation in patients with hepatitis B/C virus-related decompensated liver cirrhosis. ResultsAmong the 734 patients with hepatitis B/C virus-related decompensated liver cirrhosis， 270 achieved recompensation， with a recompensation rate of 36.8%. All patients had a median Alb level of 29.90 （25.90 — 34.80） g/L on admission， and according to the level of Alb， they were divided into <25.9 g/L group with 177 patients， 25.9 — 34.8 g/L group with 377 patients， and >34.8 g/L group with 180 patients； 36 patients （20.3%） in the <25.9 g/L group， 138 （36.6%） in the 25.9 — 34.8 g/L group， and 96 （53.3%） in the >34.8 g/L group achieved recompensation， and the recompensation rate increased with the increase in Alb level （χ²=41.730， P<0.001）. After adjustment for all confounding factors， compared with the <25.9 g/L group， there was a significant increase in the incidence rate of recompensation in the 25.9 — 34.8 g/L group （hazard ratio ［HR］=1.842， 95% confidence interval ［CI］： 1.274 — 2.663） and the >34.8 g/L group （HR=2.336， 95% CI： 1.575 — 3.463）. The Kaplan-Meier survival analysis showed that there was a significant difference in the cumulative incidence rate of recompensation between the three groups （χ²=41.632， P<0.001）. ConclusionAlb level is an influencing factor for recompensation in patients with hepatitis B/C virus-related decompensated liver cirrhosis， and the recompensation rate increases with the increase in Alb level.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Objective To analyze dynamic contrast-enhanced MRI (DCE-MRI) radiomic features using machine learning algorithms, and to develop and validate a predictive model for HER-2 status in breast cancer. Methods The DCE-MRI images of 272 treatment-naive female patients with breast cancer between 2020 and 2022 were included in this study. Regions of interest (ROIs) were manually segmented using 3d-Slicer software, and radiomic features were extracted. All patients were randomly divided into training sets or validation sets at a ratio of 4∶1. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening on the training set, followed by the development of predictive models using six machine learning algorithms. Internal cross-validation was performed to compare the performance differences between the models. The best-performing model was selected, trained on the training set, and evaluated on the validation set. Evaluation metrics included area under the curve (AUC), sensitivity, specificity, precision, and recall rate. Results The clinical data of patients in the training set and validation set showed no significant differences. Five features were identified by the LASSO algorithm. With these features, six machine learning models were developed on the training set, and their predictive performance was internally cross-validated using the bagging method. XGBoost model had the highest mean AUC (0.696), followed by RF model (0.690); XGBoost model had the highest mean precision (0.756), followed by LR and RF models. Therefore, XGBoost was the optimal model. An HER-2 predictive model was built using the XGBoost algorithm on the training set and applied to the validation set. The AUC, precision, sensitivity, and specificity of the predictive model on the validation set were calculated, and ROC curves, precision-recall curves, calibration curves, and decision-making curves were plotted. Conclusion This study constructed and evaluated different DCE-MRI radiomics-based machine learning models for predicting HER-2 status in breast cancer. Among them, XGBoost algorithm performed the best and has the potential to become a new non-invasive method for preoperative prediction of HER-2 status, providing reliable evidence for personalized clinical diagnosis and treatment.

Osteoporosis(OP)is a refractory metabolic bone disease,with decreased bone mineral mass,weakened bone strength,and systemic bone pain as typical clinical manifestations.Shenzhen Pingle Guo's Orthopedics,an important branch of the Pingle Guo's Orthopedics,has developed their distinct therapeutic approaches to the prevention and treatment of OP:the fifth-generation inheritor,Mr.Guo Chunyuan,advocated for the simultaneous regulation of qi and blood and formulated Shudi Zhuanggu Formula(composed of Rehmanniae Radix Praeparata,Codonopsis Radix,Atractylodis Macrocephalae Rhizoma,Poria,Angelicae Sinensis Radix,Paeoniae Radix Alba,Chuanxiong Rhizoma,Dipsaci Radix,and Achyranthis Bidentatae Radix);the sixth-generation inheritor,Professor Yang Zejin,emphasized zang-fu syndrome differentiation and established Yang's Guwei Formula,which simultaneously tonifies the liver,spleen,and kidney,and simultaneously treats deficiency and blood stasis(composed of Astragali Radix,Rehmanniae Radix Praeparata,Achyranthis Bidentatae Radix,Epimedii Folium,Cistanches Herba,Cuscutae Semen,Drynariae Rhizoma,Angelicae Sinensis Radix,Salviae Miltiorrhizae Radix et Rhizoma,Notoginseng Radix et Rhizoma,Corydalis Rhizoma,and Paeoniae Radix Alba);the seventh-generation inheritor,Professor Gong Chunzhu,proposed a three-stage clinical treatment strategy and stressed the principle of reinforcing acquired foundation of life(i.e.,reinforcing spleen and stomach),and formulated the modified Shudi Zhuanggu Formula with Lingnan characteristics(composed of Rehmanniae Radix Praeparata,Corni Fructus,Dioscoreae Rhizoma,Alismatis Rhizoma,Poria,Moutan Cortex,Astragali Radix,Dipsaci Radix,Cyathulae Radix,Acanthopanacis Cortex,Atractylodis Macrocephalae Rhizoma,Codonopsis Radix,and Chaenomelis Fructus).During the evolution,Shenzhen Pingle Orthopedic Hospital has continuously integrated modern medical achievements,passed down and enriched the clinical experience,and then the theoretical framework of traditional Chinese medicine in the prevention and treatment of OP has been developed.

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*

The onset of pregnancy is marked by the formation of a zygote, while the culmination of gestation is manifested by the delivery of a fetus. Meanwhile, a successful pregnancy entails a meticulously coordinated sequence of events from embryo implantation to sustained decidualization of the uterus to placental development and childbirth. The decidual reaction, a pivotal process occurring within the endometrium during pregnancy, is finely regulated by sex steroids and cytokines. Notably, fibroblast growth factors (FGFs), particularly FGF2, play a critical role in this physiological cascade. Dysregulated FGF expression may trigger inadequate decidualization, precipitating a spectrum of adverse pregnancy outcomes, including preeclampsia, recurrent implantation failure, and miscarriage. Furthermore, the human decidua, distinct from most mammalian species and similar to great apes, undergoes regular cycles of formation and shedding, independent of the presence of the embryo in the endometrium. This process is also tightly controlled by various FGFs. In this review, we comprehensively compare diverse research decidualization models, delineate the trend of endometrial FGFs during the menstrual cycle, and provide a synopsis of endometrial diseases triggered by FGF dysregulation.
Humans ; Female ; Pregnancy ; Decidua/physiology* ; Animals ; Endometrium/physiology* ; Fibroblast Growth Factors/metabolism* ; Embryo Implantation ; Menstrual Cycle/physiology*

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-integrated analyzer can drive the reagents following a preset program, to enable automatic sequential addition. The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L. The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity (95.78%) and specificity (90.16%). This research advances the field by providing an automated detection method for albumin in a portable device, allowing even untrained individuals to monitor CKD in real time at the patient's bedside. In the context of promoting tiered diagnosis and treatment, the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.