ObjectiveTo explore the mechanism of Sangpi Zhike prescription in treating cough after respiratory syncytial virus （RSV） infection through the "lung-intestine co-treatment" approach using network pharmacology and animal experimental validation. MethodsActive ingredients and targets of Sangpi Zhike prescription were retrieved from the Traditional Chinese Medicine Systems Pharmacology （TCMSP） database. Disease targets were obtained from GeneCards and Online Mendelian Inheritance in Man（OMIM） databases. Protein-protein interaction （PPI） networks and drug-component-target networks were constructed using overlapping targets between drugs and diseases to identify core targets. Gene ontology（GO） and Kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analyses were performed on the overlapping targets. Sixty mouse models were established： 10 as the normal group， and the remaining mice were infected with RSV via slow nasal drip of RSV suspension， with cough induced using capsaicin solution. After modeling， mice were divided into a model group， a Montelukast Sodium group （1 mg·kg^-1·d^-1）， and low， medium， and high dose groups of Sangpi Zhike prescription （4.875，9.75，and 19.5 g·kg^-1·d^-1）， with 10 mice per group. From day 14 after RSV infection， the normal and model groups received saline via gavage， while other groups received corresponding drug treatments once daily for 5 d. Hematoxylin-eosin（HE） staining was used to observe pathological changes in lung and intestinal tissue. The protein content of extracellular signal-regulated kinase 1/2 （ERK1/2） and phosphorylated （p）-ERK1/2 in the lung and colon tissue of mice was detected by Western blot. Real-time polymerase chain reaction（Real-time PCR） detected ERK1/2 mRNA expression in lung and intestinal tissue. Immunohistochemistry assessed p-MEK1/2， p-ERK1/2， p-c-Fos protein levels， and inflammatory cytokines interleukin（IL）-4 and （TNF）-α in lung and colon tissue. ResultsNetwork pharmacology identified 184 active ingredients and 684 targets in Sangpi Zhike prescription， with 1 344 RSV-related disease targets and 209 overlapping targets. Core targets included TNF， Fos， and Jun. KEGG enrichment revealed 179 pathways， primarily mitogen-activated protein kinase（MAPK）， cancer， TNF， and IL-17 signaling pathways. Animal experiments showed that， compared to those of the normal group， the lung tissue sections of the model group showed typical inflammatory damage， infiltration of inflammatory cells， rupture of alveolar septa， extensive alveolar fusion， and disruption of tight junctions between single-layer columnar epithelial cells in the intestinal tissue. The values of p-ERK1/2 and ERK1/2 in lung and intestinal tissue were significantly increased （P<0.01）， and the expression level of ERK1/2 mRNA was significantly elevated （P<0.01）. The levels of ERK1/2， p-MEK1/2， p-ERK1/2， p-c-Fos， IL-4， and TNF-α along the ERK pathway were significantly increased （P<0.05， P<0.01）. Compared to the model group， Sangpi Zhike prescription groups showed reduced lung and intestinal inflammation， decreased p-ERK1/2/ERK1/2 ratios （P<0.05，P<0.01）， lower ERK1/2 mRNA levels， and downregulated ERK pathway proteins （P<0.05，P<0.01）. ConclusionSangpi Zhike prescription alleviates cough and intestinal symptoms after RSV infection via the "lung-intestine co-treatment" mechanism by suppressing expression levels of ERK1/2， p-MEK1/2， p-ERK1/2， p-c-Fos， IL-4， and TNF-α on ERK pathway components， thereby mitigating lung and intestinal pathological damage.

Objective To investigate the expression levels of microRNA-34a(miR-34a),β-catenin and pro-grammed death receptor-1(PD-L1)in cancer tissues of patients with cervical cancer(CC)and their correla-tion with patients' prognosis.Methods A total of 83 patients with CC admitted to Yuncheng Central Hospital Affiliated to Shanxi Medical University from June 2021 to January 2024 were selected as the research objects.General data,CC tissue and adjacent normal tissue samples of all patients were collected.The mRNA expres-sion levels of miR-34a,β-catenin and PD-L1 in CC tissues and adjacent normal tissues were detected by fluo-rescence quantitative PCR and compared.The expression levels of β-catenin and PD-L1 in CC tissues and adja-cent normal tissues were detected by immunohistochemistry.Multivariate Logistic regression analysis was used to analyze the influencing factors of prognosis in CC patients.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of miR-34a,β-catenin and PD-L1 expression levels in CC pa-tients with poor prognosis.Results Compared with adjacent normal tissues,the expression level of miR-34a of the CC tissues was lower,while the expression levels of β-catenin and PD-L1 were higher(P＜0.05).The positive expression rates of β-catenin and PD-L1 protein in CC tissues were higher than those of adjacent nor-mal tissues(89.16％vs.10.84％,78.31％vs.20.48％,x2=101.807,55.526,P＜0.05).There were no sig-nificant differences in age and body mass index(BMI)between the good prognosis group and the poor progno-sis group(t=1.508,1.820,both P＞0.05),while there were significant differences in International Federa-tion of Gynecology and Obstetrics(FIGO)stage and differentiation degree between the two groups(x2=8.451,9.115,both P＜0.05).Compared with the good prognosis group,the expression level of miR-34a of the poor prognosis group was lower,while the expression levels of β-catenin and PD-L1 were higher(P＜0.05).Multivariate Logistic regression analysis showed that increased expression of miR-34a was an protective factor for poor prognosis in CC patients,while the increased expression levels of β-catenin and PD-L1,Ⅱ a and Ⅱ b FIGO staging and low differentiation were independent risk factors for poor prognosis in CC patients(P＜0.05).ROC curve analysis showed that miR-34a,β-catenin and PD-L1 all had certain predictive value for the poor prognosis of CC patient,and the area under the curve(AUC)of the single detection was 0.765,0.836 and 0.797,respectively.The AUC of the combined detection was 0.914(Z=2.631,2.331,2.571,P=0.009,0.020,0.010).Conclusion The expression levels of miR-34a,β-catenin and PD-L1 mRNA affect the prognosis of CC patients.Increased expression of miR-34a is an protective factor for poor prognosis in CC patients,in-creased β-catenin and PD-L1 expressions are independent risk factors for poor prognosis in CC patients,and all three factors can be used as biomarkers to predict poor prognosis in CC patients,and the combined detection of the three has the highest prognostic value.

ObjectiveTo evaluate the efficacy and safety of acupoint application for post-stroke depression (PSD) by regulating gastrointestinal function. A secondary objective is to explore the potential mechanism underlying this approach from the perspective of gut microbiota.MethodsThis multicenter, randomized, double-blind (patients and assessors), placebo-controlled trial will enroll 80 patients with PSD, and include a 1-week run-in period, a 4-week treatment phase, and a 12-week follow-up. Eligible participants will randomly be assigned in a 1:1 ratio to either the acupoint application or placebo (non-acupoint) groups. Treatments will be administered thrice weekly for 4 weeks. The primary outcome is change in the Hamilton Rating Scale for Depression (HAMD) score. Secondary outcomes include the Beck Depression Inventory (BDI), 36-Item Short-Form Health Survey (SF-36), Barthel Index of Activities of Daily Living, Social Adaptation Self–Evaluation Scale (SASS), and gut microbiota profiling. All outcomes will be assessed at baseline (prior to treatment), during treatment (weeks 2 and 4), and during follow-up (weeks 8, 12, and 16). The Treatment Emergent Symptom Scale (TESS) will be used for evaluation throughout the 4-week treatment phase.DiscussionThe results of this study will provide important evidence supporting a novel treatment strategy for PSD that targets gastrointestinal regulation, potentially informing future clinical practice.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Objective: To explore the association between vitamin D levels and sleep in children and adolescents，so as to provide a reference for promoting the sleep health of children and adolescents. Methods: From October to December, 2021, 4 827 primary and middle school students aged 6-17 in Shenzhen were selected by multistage cluster random sampling method, and their demographic information, family background, lifestyle and sleep status were obtained by facetoface questionnaire survey, and their fasting venous blood in the morning was collected to detect the serum 25(OH)D level. The relationship between serum vitamin D level and sleep characteristics was analyzed by binary Logistic regression, and stratified analysis was carried out according to gender. Results: The proportion of vitamin D deficiency was 41.1%, and the proportion of sleep deficiency was 19.4%. With the increase of vitamin D level, daily sleep duration of children and adolescents tended to increase (r=0.10,P<0.01). After adjusting for covariates such as gender and age, it was found that children and adolescents with insufficient vitamin D levels were more likely to experience sleep insufficiency, social jetlag, and late sleep on weekdays, with ORs being 1.32(95%CI=1.12-1.56), 1.35(95%CI=1.19-1.54), and 1.26(95%CI=1.05-1.52)(P<0.05). Sexstratified analysis showed that, among boys, vitamin D deficiency was associated with sleep deficiency, social jetlag, and late bedtime on weekdays and weekends[OR(95%CI)=1.42(1.14-1.77),1.25(1.04-1.49),1.39(1.06-1.82),1.86(1.19-2.92),P<0.05]. In girls, however, serum vitamin D levels were only associated with social jetlag with OR being 1.47 (95%CI=1.21-1.79, P<0.05). Conclusion Vitamin D levels are associated with various sleep characteristics in children and adolescents, with this association being more pronounced among boys.

Asthma is a chronic inflammatory disease involving multiple inflammatory cells and cytokines. Its pathogenesis is complex, involving various cells and cytokines. Traditional Chinese medicine(TCM) theory suggests that the pathogenesis of asthma is closely related to the dysfunction of internal organs such as the lungs, spleen, and kidneys. In contrast, modern immunological studies have revealed the central role of T helper 1(Th1)/T helper 2(Th2) and T helper 17(Th17)/regulatory T(Treg) cellular immune imbalance in the pathogenesis of asthma. Th1/Th2 imbalance is manifested as hyperfunction of Th2 cells, which promotes the synthesis of immunoglobulin E(IgE) and the activation of eosinophil granulocytes, leading to airway hyperresponsiveness and inflammation.Meanwhile, Th17/Treg imbalance exacerbates the inflammatory response in the airways, further contributing to asthma pathology.Currently, therapeutic strategies for asthma are actively exploring potential targets for regulating the balance of Th1/Th2 and Th17/Treg immune responses. These targets include cytokines, transcription factors, key proteins, and non-coding RNAs. Precisely regulating the expression and function of these targets can effectively modulate the activation and differentiation of immune cells. In recent years,traditional Chinese medicine active ingredients have shown unique potential and prospects in the field of asthma treatment. Based on this, the present study systematically summarizes the efficacy and specific mechanisms of TCM active ingredients in treating asthma by regulating Th1/Th2 and Th17/Treg immune balance through literature review and analysis. These active ingredients, including flavonoids, terpenoids, polysaccharides, alkaloids, and phenolic acids, exert their effects through various mechanisms, such as inhibiting the activation of inflammatory cells, reducing the release of cytokines, and promoting the normal differentiation of immune cells. This study aims to provide a solid foundation for the widespread application and in-depth development of TCM in asthma treatment and to offer new ideas for clinical research and drug development of asthma.
Asthma/genetics* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Th2 Cells/drug effects* ; Th17 Cells/drug effects* ; T-Lymphocytes, Regulatory/drug effects* ; Th1 Cells/drug effects* ; Animals ; Cytokines/immunology* ; Medicine, Chinese Traditional

Objective To investigate the relationship between Klotho,insulin-like growth factor-1(IGF-1),and Irisin in the placentas of pregnant rats and the intrauterine development of fetuses.Methods Thirty SD rats were divided into the intrauterine growth restriction(IUGR)experimental animal model group(IUGR group),the macrosomia experimental animal model group(macrosomia fetal group),and the control group ac-cording to different feeding diets(low-protein diet,high-protein diet,and normal diet).All pregnant mice were subjected to laparotomy for tissue sampling on the 21st day of pregnancy.The birth weight,body length,and placental mass of fetal rats were recorded.The relative mRNA expression levels of Klotho,IGF-1,and Irisin in the placentas were detected by quantitative real-time fluorescent reverse transcription-PCR(qRT-PCR),and the correlations between various factors above were analyzed.Results Compared with the control group,the birth weight,body length and placental mass of fetal rats in the IUGR group were lower,while those in the macrosomia fetal group were higher,with statistically significant differences(P<0.05).Compared with the control group,the relative mRNA expression levels of Klotho,IGF-1,and Irisin in the IUGR group were de-creased,while those in the macrosomia fetal group were increased,with statistically significant differences(P<0.05).Correlation analysis showed that Klotho mRNA was positively correlated with the relative expres-sion levels of placental IGF-1 mRNA and Irisin mRNA,and IGF-1 mRNA were also positively correlated with the relative expression level of placental Irisin mRNA(P<0.05).Conclusion Klotho,IGF-1,and Irisin in the placenta are associated with fetal growth and possibly regulated through the Klotho/IGF-1/Irisin axis.

Background: Traditional Mongolian medicine utilizes complex herbal formulations for restoring bodily functions and treating various ailments. Sampilnorov, a traditional medicinal composition, is recognized for its therapeutic properties in regenerating one of the 17 qualities and 15 functions of the human body, particularly qi and its associated functions. Aim: This study aims to analyze the therapeutic potential of Sampilnorov in treating conditions related to vein disorders, fever, and musculoskeletal diseases. Materials and Methods: A literature review was conducted, focusing on the Mongolian Medicine section of the Medical Pharmacopoeia of the People’s Republic of China. The pharmacological properties, indications, and mechanisms of Sampilnorov were examined. Results: The findings suggest that Sampilnorov is a valid therapeutic system in Mongolian traditional medicine for addressing multiple physiological dysfunctions. Further clinical and pharmacological studies are necessary to validate its efficacy and mechanisms of action. Conclusion Sampilnorov pills are traditionally used for Eliminating chronic fever and lesions in the white veins, Removing yellow fluid accumulation, Treating disorders of the black and white veins, such as paralysis, gout, rheumatism, and typhoid fever, Healing damaged veins and alleviating symptoms of leprosy, kidney vein concussions, kidney heat, vein and tendon spasms, and joint sprains.

Purpose: Rare diseases occur in <50 per 100000 people and require lifelong management. However, essential epidemiological data on such diseases are lacking, and a consecutive monitoring system across time and regions remains to be established. Standardized digital phenotypes are required to leverage an international data network for research on rare endocrine diseases. We developed digital phenotypes for rare endocrine diseases using the observational medical outcome partnership common data model. Materials and Methods: Digital phenotypes of three rare endocrine diseases (medullary thyroid cancer, hypoparathyroidism, pheochromocytoma/paraganglioma) were validated across three databases that use different vocabularies: Severance Hospital’s electronic health record from South Korea; IQVIA’s United Kingdom (UK) database for general practitioners; and IQVIA’s United States (US) hospital database for general hospitals. We estimated the performance of different digital phenotyping methods based on International Classification of Diseases (ICD)-10 in the UK and the US or systematized nomenclature of medicine clinical terms (SNOMED CT) in Korea. Results: The positive predictive value of digital phenotyping was higher using SNOMED CT-based phenotyping than ICD-10-based phenotyping for all three diseases in Korea (e.g., pheochromocytoma/paraganglioma: ICD-10, 58%–62%; SNOMED CT, 89%). Estimated incidence rates by digital phenotyping were as follows: medullary thyroid cancer, 0.34–2.07 (Korea), 0.13–0.30 (US); hypoparathyroidism, 0.40–1.20 (Korea), 0.59–1.01 (US), 0.00–1.78 (UK); and pheochromocytoma/paraganglioma, 0.95–1.67 (Korea), 0.35–0.77 (US), 0.00–0.49 (UK). Conclusion Our findings demonstrate the feasibility of developing digital phenotyping of rare endocrine diseases and highlight the importance of implementing SNOMED CT in routine clinical practice to provide granularity for research.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.