OBJECTIVE: To assess the safety and topical efficacy of prim-O-glucosylcimifugin (POG) and investigate the molecular mechanisms of its therapeutic effects in atopic dermatitis (AD). METHODS: The effects of POG on human keratinocyte cell viability and its anti-inflammatory properties were evaluated using cell counting kit-8 assay and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Subsequently, the impact of POG on the differentiation of cluster of differentiation (CD) 4⁺ T cell subsets, including T-helper type (Th) 1, Th2, Th17, and regulatory T (Treg), was examined through in vitro experiments. Network pharmacology analysis was used to elucidate POG's therapeutic mechanisms. Furthermore, the therapeutic potential of topically applied POG was further evaluated in a calcipotriol-induced mouse model of AD. The protein and transcript levels of inflammatory markers, including cytokines, lymphocyte-specific protein tyrosine kinase (Lck) mRNA, and LCK phosphorylation (p-LCK), were quantified using immunohistochemistry, RT-qPCR, and Western blot analysis. RESULTS: POG was able to suppress cell proliferation and downregulate the transcription of interleukin 4 (Il4) and Il13 mRNA. In vitro experiments indicated that POG significantly inhibited the differentiation of Th2 cells, whereas it exerted negligible influence on the differentiation of Th1, Th17 and Treg cells. Network pharmacology identified LCK as a key therapeutic target of POG. Moreover, the topical application of POG effectively alleviated skin lesions in the calcipotriol-induced AD mouse models without causing pathological changes in the liver, kidney or spleen tissues. POG significantly reduced the levels of Il4, Il5, Il13, and thymic stromal lymphopoietin (Tslp) mRNA in the AD mice. Concurrently, POG enhanced the expression of p-LCK protein and Lck mRNA. CONCLUSION Our research revealed that POG inhibits Th2 cell differentiation by promoting p-LCK protein expression and hence effectively alleviates AD-related skin inflammation. Please cite this article as: Zhao H, Ma X, Wang H, Ding XJ, Kuai L, Song JK, Zhang Z, Yang D, Gao CJ, Li B, Zhou M. Prim-O-glucosylcimifugin mitigates atopic dermatitis by inhibiting Th2 differentiation through LCK phosphorylation modulation. J Integr Med. 2025; 23(3): 309-319.
Dermatitis, Atopic/drug therapy* ; Animals ; Humans ; Cell Differentiation/drug effects* ; Phosphorylation/drug effects* ; Mice ; Th2 Cells/drug effects* ; Keratinocytes/drug effects* ; Disease Models, Animal ; Mice, Inbred BALB C ; Calcitriol/analogs & derivatives*

Objective Through visual analysis of literatures related to the treatment of chronic glomerulonephritis(CGN),the research hotspots and trends in this field were discussed.Methods Relevant literatures from CNKI,Wanfang Data Knowledge Service Platform,VIP,SinoMed,PubMed from 2010 to 2024 were retrieved,and analyzed using CiteSpace 6.2.R4 software.Results A total of 8887 articles in Chinese and 117 articles in English were included.The countries,institutions and authors who published most were China,the Affiliated Hospital for Liaoning University of Traditional Chinese Medicine and Wang Yiping.The research hotspots mainly focued on therapeutic drugs and clinical efficacy,and the research trend tended to be the treatment mechanism.Conclusion To further strengthen collaboration among different countries,institutions and authors,and to delve deeper into the mechanistic studies of CGN,will effectively promote the research progress in this field.

Objective Through visual analysis of literatures related to the treatment of chronic glomerulonephritis(CGN),the research hotspots and trends in this field were discussed.Methods Relevant literatures from CNKI,Wanfang Data Knowledge Service Platform,VIP,SinoMed,PubMed from 2010 to 2024 were retrieved,and analyzed using CiteSpace 6.2.R4 software.Results A total of 8887 articles in Chinese and 117 articles in English were included.The countries,institutions and authors who published most were China,the Affiliated Hospital for Liaoning University of Traditional Chinese Medicine and Wang Yiping.The research hotspots mainly focued on therapeutic drugs and clinical efficacy,and the research trend tended to be the treatment mechanism.Conclusion To further strengthen collaboration among different countries,institutions and authors,and to delve deeper into the mechanistic studies of CGN,will effectively promote the research progress in this field.

OBJECTIVE: To assess the outcomes after acupoint application in patients with pharyngeal pain in a real-world settings, and analyze the characteristics of effective population and prescription characteristics of acupoint application. METHODS: Based on CHUNBO platform, patients with pharyngeal pain who were candidates for acupoint application on the basis of physician-evaluation, were enrolled in a nationwide, prospective, 69-week multicenter observational study from August 2020 to February 2022. Propensity score matching (PSM) was used to match the confounding factors and the association rules were used to analyze the characteristics of effective population and prescription characteristics of acupoint application. Outcome assessments included the disappearance rate of pharyngeal pain (within 3, 7, and 14 days), disappearance time of pharyngeal pain, as well as adverse events. RESULTS: Of 7,699 enrolled participants, 6,693 (86.9%) received acupoint application and 1,450 (21.7%) with non-acupoint application. After PSM, there were 1,004 patients each in the application group (AG) and non-application group (NAG). The disappearance rate of pharyngeal pain in the AG at 3, 7, and 14 days were all higher than those in the NAG (P<0.05). The disappearance time of pharyngeal pain in the AG were shorter than that in the NAG (logrank P<0.001, hazard ratio=1.51, 95% confidence interval: 1.41-1.63). The median age of effective cases was 4 years, mainly 3-6 years old (40.21%). The disappearance rate of pharyngeal pain in the application group with tonsil diseases was 2.19 times higher than that in the NAG (P<0.05). The commonly used acupoints for the effective cases were Tiantu (RN 22), Shenque (RN 8) and Dazhui (DU 14). The commonly used herbs for the effective cases were Natrii sulfas, Radix et Rhizoma Rhei, and Herba Ephedrae. Among them, Natrii sulfas was applied to RN 8 most frequently (support 84.39%). A total of 1,324 (17.2%) patients experienced AEs, and mainly occurred in the AG, with significant difference in the incidence of AEs between goups (P<0.05). All AEs reported were the first grade, and the average regression days of AEs was 2.8 days. CONCLUSIONS Acupoint application in patients with pharyngeal pain resulted in improved effective rate and shortened duration, especially children aged 3-6 years old, and those with tonsil diseases. Acupoint of RN 22, RN 8 and DU 14, Natrii sulfas, Radix et Rhizoma Rhei, and Herba Ephedrae were the most commonly used herbs in the treatment of pharyngeal pain.
Child ; Humans ; Child, Preschool ; Acupuncture Points ; Medicine, Chinese Traditional/methods* ; Prospective Studies ; Pain

Objectives:To develop a novel prediction model for mitral valve repair failure based on machine learning algorithms.Methods:Clinical and echocardiographic data were analyzed on patients,who underwent mitral valve repair in Fuwai Hospital from 2009 January 1st to 2022 December 31st.End points included immediate mitral valve repair failure (mitral replacement secondary to mitral repair failure) and recurrence regurgitation (moderate or severe mitral regurgitation before discharge).Risk factors of mitral valve repair failure were analyzed by XGBoost and shapley additive explanation (SHAP),and a machine learning model was established based on mixture of experts (MoE) as a risk prediction model and compared with conventional mitral valve repair complexity scores.Results:A total of 2314 patients were included in this study.Mitral repair was unsuccessful in 4.2％ (98 of 2314) of patients.Patient factors such as tricuspid regurgitation pressure gradient,A3 and A3P3 lesions,left ventricular end-systolic volume,and left atrium anterior and posterior diameter are associated with mitral valve repair failure;in addition,surgeon factors,such as cumulative repair failure rate,cumulative repair volume,and surgeon seniority,are also risk factors for mitral valve repair failure.The MoE model has an AUC value of 0.79,and the prediction performance is significantly better than traditional complexity scores.Conclusions:The MoE based machine learning model can predict the risk of mitral valve repair failure well.This evaluation system can effectively assist surgeons in assessing the risk of mitral valve repair failure and in selecting suitable treatment options for patients.

Objectives:To develop a novel prediction model for mitral valve repair failure based on machine learning algorithms.Methods:Clinical and echocardiographic data were analyzed on patients,who underwent mitral valve repair in Fuwai Hospital from 2009 January 1st to 2022 December 31st.End points included immediate mitral valve repair failure (mitral replacement secondary to mitral repair failure) and recurrence regurgitation (moderate or severe mitral regurgitation before discharge).Risk factors of mitral valve repair failure were analyzed by XGBoost and shapley additive explanation (SHAP),and a machine learning model was established based on mixture of experts (MoE) as a risk prediction model and compared with conventional mitral valve repair complexity scores.Results:A total of 2314 patients were included in this study.Mitral repair was unsuccessful in 4.2％ (98 of 2314) of patients.Patient factors such as tricuspid regurgitation pressure gradient,A3 and A3P3 lesions,left ventricular end-systolic volume,and left atrium anterior and posterior diameter are associated with mitral valve repair failure;in addition,surgeon factors,such as cumulative repair failure rate,cumulative repair volume,and surgeon seniority,are also risk factors for mitral valve repair failure.The MoE model has an AUC value of 0.79,and the prediction performance is significantly better than traditional complexity scores.Conclusions:The MoE based machine learning model can predict the risk of mitral valve repair failure well.This evaluation system can effectively assist surgeons in assessing the risk of mitral valve repair failure and in selecting suitable treatment options for patients.

Diabetic retinopathy (DR), one of the chronic complications of diabetes, is a serious and irreversible blinding disease. It is difficult to detect in the early stage, to control in the progressive stage, to operate in the advanced stage of DR. Recently, the "14th Five-year plan" for National Eye Health proposed to "improve the management mode of chronic eye disease, and build a chronic disease management system". The project team used artificial intelligence technology based on cloud platform, joint outpatient service, virtual ward to explore the comprehensive management of DR from the aspects of early screening, multidisciplinary collaborative diagnosis and treatment, and refined blood glucose management during perioperative period. In the future, it is urgent to integrate DR chronic disease management with other systemic chronic diseases to reduce the blindness caused by DR.
Humans ; Diabetic Retinopathy/diagnosis* ; Artificial Intelligence ; Mass Screening ; Blindness/prevention & control* ; Diabetes Mellitus

Objective To explore the value of trans-lymphatic contrast-enhanced ultrasound(CEUS)in the diagnosis of cervical lymph node metastasis of thyroid cancer. Methods The patients with suspected thyroid cancer underwent conventional ultrasound and trans-lymphatic CEUS examinations before the biopsy.The differences in ultrasound and CEUS characteristics of cervical lymph nodes between the metastatic group and the non-metastatic group were compared,and pathological results were regarded as the golden standard. Results Twenty patients had thyroid cancer,including 12 cases with lymph node metastasis and 8 cases without metastasis.The diagnostic sensitivity(91.7%
Contrast Media ; Humans ; Lymph Nodes/diagnostic imaging* ; Lymphatic Metastasis/diagnostic imaging* ; Thyroid Neoplasms/diagnostic imaging* ; Ultrasonography

Objective To explore the association between contrast-enhanced ultrasound and risk of tumor recurrence in papillary thyroid carcinoma(PTC). Methods A total of 287 PTCs in 287 patients who underwent surgery,conventional ultrasound,and contrast-enhanced ultrasound(CEUS)were enrolled in this study.According to 2015 American Thyroid Association(ATA)Modified Initial Risk Stratification System,the patients were categorized into three groups:low risk,intermediate risk,and high risk.The CEUS patterns of PTCs were compared between different risk stratifications. Results Hypo-enhancement was presented in 57.6% of ATA low-risk PTCs,iso-enhancement in 62.3% of ATA intermediate-risk PTCs,and hyper-enhancement in 48.2% of ATA high-risk PTCs(
Humans ; Neoplasm Recurrence, Local/diagnostic imaging* ; Thyroid Cancer, Papillary/diagnostic imaging* ; Thyroid Neoplasms/diagnostic imaging* ; Ultrasonography

OBJECTIVETo evaluate the effificacy of oral Chinese medicine (CM) in comparison with donepezil, a cholinesterase inhibitor (ChEI), for the treatment of Alzheimer's disease (AD).

METHODSRandomized controlled trials (RCTs) have been searched, and the effect of CM compared with donepezil in AD has been investigated. An electronic search of MEDLINE, Excerpta Medica Database (EMBASE), Cochrane Library, Chinese Biological Medicine Database (CBMdisc), and China National Knowledge Infrastructure (CNKI) to identify articles in English and Chinese from the inception of the database until October 18, 2015. A modifified Jadad score (7-points) to judge the methodological quality of studies, comprehensive meta-analysis was performed with Cochrane Collaboration Revman 5.3. Dichotomous data were analyzed by relative risk (RR) with a 95% confifidence interval (CI), while continuous variables were analyzed by using mean differences (MD) with 95% CI for effect size.

RESULTSSix studies involving 596 AD patients through Jadad assessment with low bias were included in the meta-analysis. No signifificant difference was observed in cognitive improvement and daily abilities of patients using the Mini Mental State Examination (MMSE) (MD: 0.69, 95% CI:-0.17 to 1.56) and Activities of Daily Living (ADL) scale (MD: 0.94, 95% CI:-1.54 to 3.43). There were no signifificant differences in status of illness or MD for mild-moderate AD patients at 24 weeks (MD: 0.62, 95% CI:-2.99 to 4.23) and 48 weeks (MD:-0.73, 95% CI:-5.02 to 3.56). Severe AD patients were also assessed at 24 weeks (MD: 3.13, 95% CI:-6.92 to 13.18) and 48 weeks (MD: 4.23, 95% CI:-6.38 to 14.84). Furthermore, compared with donepezil, Xin (Heart)-regulating CM and Shen (Kidney)-tonifying groups were observed (MD:-1.50, 95% CI:-3.08 to 0.08; MD:-1.92, 95% CI:-3.50 to-0.33; respectively). CM had fewer side effects in AD patients.

CONCLUSIONCompared with donepezil, oral CM showed no signifificant difference in effectiveness in AD patients, and more evidence is needed to verify the fifindings.