Gorham-Stout disease(GSD) is a rare osteolytic disorder characterized by spontaneous and progressive osteolysis, along with abnormal angiogenesis and lymphangiogenesis, with no new bone formation. We present a case of a 15-year-old female admitted due to " recurrent right leg pain for 5 years, 11 months after undergoing right femoral fracture surgery". Through comprehensive integration of the patient's clinical phenotype, laboratory tests, imaging findings, pathological examinations, and molecular biological test results, GSD was considered highly likely. A multidisciplinary treatment approach was conducted, including a combination of zoledronic acid and sirolimus to inhibit osteolysis, along with rehabilitation training and orthopedic intervention, providing a personalized and comprehensive treatment strategy.

Objective A non-targeted metabolomics analysis of vitreous fluid from patients with proliferative diabetic retinopathy(PDR)is conducted to explore the"metabolic map"of PDR.This approach aims to deepen the understanding of the disease,identify potential biomarkers.Methods From 35 PDR patients and 30 fresh rhegmatogenous retinal de-tachment(RRD)patients,10 PDR patients with vitreoretinal abnormal adhesions were selected as the experimental group(PDR group),and 10 fresh RRD patients were chosen as the control group(RRD group).Using ultra-high-performance liq-uid chromatography-mass spectrometry non-targeted metabolomics technology,the metabolic profiles of vitreous fluid were analyzed to obtain metabolic spectra.One-dimensional and multidimensional statistical methods were used to analyze the differences in metabolites and metabolic pathways between the PDR and RRD groups.Results A total of 165 differential metabolites were identified in the vitreous humor samples of patients in the PDR and RRD groups,these differential metab-olites were significantly enriched in 21 metabolic pathways(P＜0.05),Among these pathways,those with at least 5 differ-ential metabolites include:methionine and cysteine metabolism;glycine,serine,and threonine metabolism;ascorbic acid and aldose metabolism;amino acid biosynthesis;and central carbon metabolism in cancer.Pyruvate,serine,D-2-phospho-glycerate,threonine,phosphoserine,and high serine are present in multiple metabolic pathways,the areas under the curve are 0.96,0.82,0.85,0.78,0.40,and 0.31,respectively.Conclusion There are 21 significantly different metabolic pathways between PDR and RRD patients.Pyruvate stands out in multiple pathways,potentially serving as a biomarker for PDR diagnosis.

Objective:To explore the current status of perceived vulnerability and its influencing factors among parents of children with type 1 diabetes mellitus (T1DM) .Methods:A convenience sampling method was used to select 220 parents of children with T1DM from the diabetes care and consultation outpatient clinic at Beijing Children's Hospital, Capital Medical University, from June to November 2023. The parents were surveyed using a general information questionnaire, the Parental Perceived Vulnerability Scale, the Family Care Index, and the Parental Illness Uncertainty Scale.Results:A total of 220 questionnaires were distributed, with 192 valid responses. The total score on the Parental Perceived Vulnerability Scale was (13.91±5.39), the total score on the Family Care Index was (5.39±2.73), and the total score on the Parental Illness Uncertainty Scale was (75.36±17.34). Multiple linear regression analysis showed that whether the child was an only child, family monthly income per capita, parents' religious beliefs, family care level, and illness uncertainty were significant influencing factors for perceived vulnerability ( P<0.05), explaining 36.5% of the variance. Conclusions:Healthcare professionals should pay more attention to parents who have only children, have lower family income, and do not have religious beliefs. Interventions aimed at improving family care levels and reducing illness uncertainty may help decrease the perceived vulnerability among parents of children with T1DM.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Objective A non-targeted metabolomics analysis of vitreous fluid from patients with proliferative diabetic retinopathy(PDR)is conducted to explore the"metabolic map"of PDR.This approach aims to deepen the understanding of the disease,identify potential biomarkers.Methods From 35 PDR patients and 30 fresh rhegmatogenous retinal de-tachment(RRD)patients,10 PDR patients with vitreoretinal abnormal adhesions were selected as the experimental group(PDR group),and 10 fresh RRD patients were chosen as the control group(RRD group).Using ultra-high-performance liq-uid chromatography-mass spectrometry non-targeted metabolomics technology,the metabolic profiles of vitreous fluid were analyzed to obtain metabolic spectra.One-dimensional and multidimensional statistical methods were used to analyze the differences in metabolites and metabolic pathways between the PDR and RRD groups.Results A total of 165 differential metabolites were identified in the vitreous humor samples of patients in the PDR and RRD groups,these differential metab-olites were significantly enriched in 21 metabolic pathways(P＜0.05),Among these pathways,those with at least 5 differ-ential metabolites include:methionine and cysteine metabolism;glycine,serine,and threonine metabolism;ascorbic acid and aldose metabolism;amino acid biosynthesis;and central carbon metabolism in cancer.Pyruvate,serine,D-2-phospho-glycerate,threonine,phosphoserine,and high serine are present in multiple metabolic pathways,the areas under the curve are 0.96,0.82,0.85,0.78,0.40,and 0.31,respectively.Conclusion There are 21 significantly different metabolic pathways between PDR and RRD patients.Pyruvate stands out in multiple pathways,potentially serving as a biomarker for PDR diagnosis.

The article reports the diagnosis and treatment of a patient with congenital nephrogenic diabetes insipidus(NDI) caused by vasopressin V2 receptor(AVPR2) mutation. The proband presented with polyuria and polydipsia since early childhood. Urinary retention and bilateral hydronephrosis developed during the last year. The diagnosis of NDI was confirmed through an indirect water deprivation test and copeptin measurement. Genetic testing revealed a hemizygous truncating mutation in the AVPR2 gene. This article introduces the diagnostic approach for diabetes insipidus and elaborates the clinical value of copeptin in the differential diagnosis between NDI and central diabetes insipidus. A literature review was conducted to summarize the pathogenic mechanisms, clinical features, treatment, prognosis, and management of complications in NDI with AVPR2 mutation.

Objectives:To evaluate the predictive value of Tabular Prior-data Fitted Network(TabPFN) for short-term outcome in patients with spontaneous intracerebral hemorrhage (sICH), and compared with the Extreme Gradient Boosting (XGboost) model and traditional logistic regression (LR) model. Methods:Patients with sICH admitted to the Department of Neurology, Hefei Second People's Hospital from January 2018 to March 2024 were included retrospectively. The demographic and baseline data were collected. At 3 months after onset, the modified Rankin Scale score was used to determine the outcome, 0-2 was defined as good outcome and >2 was defined as poor outcome. All enrolled patients were randomly divided into a training set and a testing set at a ratio of 7:3. Feature selection was performed using recursive feature elimination (RFE) method, and then the selected feature variables were included into TabPFN, XGboost, and LR models for training and testing. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the models. Shapley additive explanations (SHAP) method was used for model interpretation.Results:A total of 547 patients with sICH were enrolled, including 367 males (67.1%), with a median age of 65 (interquartile range, 54-76) years. Two hundred twenty-six patients (41.3%) had poor outcome. Age, baseline blood pressure (systolic blood pressure, diastolic blood pressure), baseline laboratory tests (white blood cell count, red blood cell count, platelet count, neutrophil count, hemoglobin, fasting blood glucose, creatinine, uric acid, urea nitrogen, alanine aminotransferase, aspartate aminotransferase), hematoma rupture into the ventricle, island sign, baseline hematoma volume, and baseline National Institutes of Health Stroke Scale (NIHSS) score were selected as characteristic variables using RFE method. ROC curve analysis showed that the ROC AUC for TabPFN, Xgboost, and LR models predicting poor short-term outcome in the testing set were 0.918 (95% confidence interval [ CI] 0.870-0.966], 0.883 (95% CI 0.826-0.940), and 0.905 (95% CI 0.854-0.957), respectively. SHAP analysis showed that the top four important variables in the TabPFN model were baseline NIHSS score, baseline hematoma volume, baseline aspartate aminotransferase, and age. Conclusions:The TabPFN model is superior to the LR model and the XGBoost model in predicting poor outcome in patients with sICH. In the TabPFN model, baseline NIHSS score, baseline hematoma volume, aspartate aminotransferase, and age are the most important predictors of poor outcome in patients with sICH.Objectives To evaluate the predictive value of Tabular Prior-data Fitted Network(TabPFN) for short-term outcome in patients with spontaneous intracerebral hemorrhage (sICH), and compared with the Extreme Gradient Boosting (XGboost) model and traditional logistic regression (LR) model. Methods Patients with sICH admitted to the Department of Neurology, Hefei Second People's Hospital from January 2018 to March 2024 were included retrospectively. The demographic and baseline data were collected. At 3 months after onset, the modified Rankin Scale score was used to determine the outcome, 0-2 was defined as good outcome and >2 was defined as poor outcome. All enrolled patients were randomly divided into a training set and a testing set at a ratio of 7:3. Feature selection was performed using recursive feature elimination (RFE) method, and then the selected feature variables were included into TabPFN, XGboost, and LR models for training and testing. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the models. Shapley additive explanations (SHAP) method was used for model interpretation. Results A total of 547 patients with sICH were enrolled, including 367 males (67.1%), with a median age of 65 (interquartile range, 54-76) years. Two hundred twenty-six patients (41.3%) had poor outcome. Age, baseline blood pressure (systolic blood pressure, diastolic blood pressure), baseline laboratory tests (white blood cell count, red blood cell count, platelet count, neutrophil count, hemoglobin, fasting blood glucose, creatinine, uric acid, urea nitrogen, alanine aminotransferase, aspartate aminotransferase), hematoma rupture into the ventricle, island sign, baseline hematoma volume, and baseline National Institutes of Health Stroke Scale (NIHSS) score were selected as characteristic variables using RFE method. ROC curve analysis showed that the ROC AUC for TabPFN, Xgboost, and LR models predicting poor short-term outcome in the testing set were 0.918 (95% confidence interval [ CI] 0.870-0.966], 0.883 (95% CI 0.826-0.940), and 0.905 (95% CI 0.854-0.957), respectively. SHAP analysis showed that the top four important variables in the TabPFN model were baseline NIHSS score, baseline hematoma volume, baseline aspartate aminotransferase, and age. Conclusions The TabPFN model is superior to the LR model and the XGBoost model in predicting poor outcome in patients with sICH. In the TabPFN model, baseline NIHSS score, baseline hematoma volume, aspartate aminotransferase, and age are the most important predictors of poor outcome in patients with sICH.

OBJECTIVE: To explore mechanisms of acid-sensing ion channel 1 (ASIC1) mediated lumbar nucleus pulposus cell apoptosis through extracellular-signalregulated protein kinase 5 (ERK5) signaling pathway and mitochondrial dysfunction pathway. METHODS: Totally 34 patients with degenerative lumbar disc herniation (LDH) admitted from January 2020 to December 2022 were collected as research objects, including 21 males and 13 females;aged from 29 to 52 years old with an average of (37.43±4.75) years old;22 patients with grade Ⅱ and 12 patients with grade Ⅳ, according to Pfirrmann grading criteria;15 patients with L_4,5 and 19 patients with L₅S₁. The expression of ASIC1 in nucleus pulposus of LDH patients was measured by immunohistochemical staining. Nucleus pulposus cells were cultured by primary culture method, identified by toluidine blue staining and immunohistochemical staining, and the expression of ASIC1 protein was located by immunofluorescence staining. According to the addition of siRNA-ASIC1, ASIC1 overexpression plasmid, and ERK5 inhibitors, the nucleus pulpocyte was divided into three groups, named as SIRNA-silenced group, overexpression group, and inhibitor group, with 3 patients in each group. Cells of each group were collected at 72 h after intervention, expression of ASIC1, ERK5, BCL-xL/BCL-2-associated Death promoter (Bad), B-cell lymphoma-2 associated X (Bax) and B-cell lymphoblast-2 gene (Bcl-2) were detected by reverse transcription-polymerase chain reaction (RT-PCR);intracellular calcium ion levels were detected by calcium ion kit, mitochondrial membrane potential was detected by JC-1 kit, and apoptosis was observed by AV-PI kit. RESULTS: In LDH patients with grade Ⅳ, nucleus pulposus tissue removed during operation revealed poor elasticity, white color and poor ductility, and immunohistochemical results showed increased ASIC1 expression. There was no significant difference in mRNA relative expression of ASIC1 between siRNA silencing group (0.31±0.03) and inhibitor group (0.39±0.05) (P>0.05). The mRNA relative expression level of ERK5 in siRNA silencing group(0.32±0.05) was significantly higher than that in inhibitor group (0.15±0.04)(P<0.05), which suggested ERK5 was the downstream molecule of ASIC1. The mRNA relative expression levels of apoptosis promoting factor Bad and Bax in siRNA silencing group and inhibitor group were lower than those in overexpression group(P<0.05), the relative expression level of anti-apoptosis factor Bcl-2 mRNA was significantly increased (P<0.05). The calcium content in overexpression group was higher than that in siRNA silencing and inhibitor groups (P<0.05), the normal proportion of mitochondrial membrane potential in overexpression group was lower than that in siRNA silencing and inhibitor group (P<0.05), and the apoptosis rate in overexpression group was higher than that in siRNA silencing and inhibitor group (P<0.05). CONCLUSION After the activation of ASIC1 channel protein, calcium ions could enter the cells and act as a second messenger molecule to regulate apoptosis of nucleus pulposus cells by ERK5 signaling pathway and mitochondrial disorder pathway.
Humans ; Acid Sensing Ion Channels/physiology* ; Male ; Female ; Apoptosis ; Middle Aged ; Adult ; Signal Transduction ; Mitogen-Activated Protein Kinase 7/physiology* ; Mitochondrial Diseases/genetics* ; Nucleus Pulposus/metabolism* ; Intervertebral Disc Degeneration/metabolism* ; Mitochondria/metabolism* ; Intervertebral Disc Displacement/genetics*

OBJECTIVE: This cross-sectional study assessed the methodological quality of systematic reviews (SRs) of Chinese herbal medicine (CHM) published in Chinese between Jan 2021 and Sep 2022. METHODS: Chinese language CHM SRs were identified through literature searches across 3 international and 4 Chinese databases. Methodological quality was appraised using A MeaSurement Tool to Assess systematic Reviews 2. Logistic regressions were used to explore associations between bibliographical characteristics and quality. RESULTS: Analyses of methodological quality found that among the 213 sampled SRs, 69.5% were of critically low quality, 30.5% were of low quality, and none achieved high or moderate quality. Common shortcomings included the failure to identify the studies excluded from the analysis, failure to disclose funding sources, and limited evaluation of the potential impact of bias on conclusions. Logistic regressions revealed that SRs led by corresponding authors affiliated with universities or academic institutions tended to be of lower quality than SRs led by authors affiliated with hospitals or clinical facilities. CONCLUSION Recent Chinese language CHM SRs exhibited limited methodological quality, making them unlikely to support the development of clinical practice guidelines. Urgent initiatives are needed to enhance training for researchers, peer-reviewers and editors involved in the preparation and publication of SRs. Adoption of Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines in Chinese language journals is crucial to improve the relevance of SRs for Chinese medicine development. Addressing deficiencies in methodology and reporting is essential for promoting evidence-based practices and informed clinical decisions in Chinese medicine. Please cite this article as: Jiang Y, Zhong CC, Wang BH, Xu SS, Ho FF, Kwong MH, Ho L, Zhou JHS, Lam KC, Liu JP, Zhang BT, Chung VCH. Methodological quality of systematic reviews on orally administered Chinese herbal medicine published in Chinese between 2021 and 2022: A cross-sectional study. J Integr Med. 2025; 23(5):492-501.
Cross-Sectional Studies ; Drugs, Chinese Herbal/administration & dosage* ; Systematic Reviews as Topic/standards* ; Humans ; China ; Administration, Oral ; Medicine, Chinese Traditional

Objective:To investigate the relationship among seminal oxidation-reduction potential(nORP),sperm DNA frag-mentation(DFI)and semen parameters in patients with varicocele.Methods:Clinical data of 522 patients treated in the reproduc-tive andrology clinic of the Northern Theater General Hospital from November 2023 to December 2023 were retrospectively analyzed,in-cluding 435 men of childbearing age and 87 men of infertile age.The patients were divided into the varicocele group(n=116)and non-varicocele group(n=406)according to clinical diagnosis.The differences of seminal plasma nORP,DFI,sperm high DNA stain ability(HDS)and semen parameters were analyzed between the two groups.The relationship among general clinical data,seminal plasma nORP,semen parameters,DFI and HDS in patients with varicocele were further analyzed.According to the severity of varico-cele,the patients were divided into three groups,including mild,moderate and severe.And the differences of seminal plasma nORP and semen parameters,DFI and HDS among all groups were analyzed.The differences of seminal plasma nORP,semen parameters,DFI and HDS were compared between the varicocele and non-varicocele groups.Results:The total sperm count,sperm concentra-tion,progressive motility sperm percentage(PR％)and normal sperm morphology rate(NSMR)in patients with varicocele were sig-nificantly lower than those in control group(P＜0.05).And seminal plasma nORP,DFI and HDS in patients with varicocele were sig-nificantly higher than those in control group(P＜0.05).Seminal plasma nORP in patients with varicocele was significantly negatively correlated with total sperm,sperm concentration and NSMR(P＜0.05),and significantly positively correlated with DFI and HDS(P＜0.05).There were significant differences in nORP,total sperm count,sperm concentration,PR％,DFI and HDS among mild,moderate and severe varicocele groups(P＜0.05).Seminal plasma nORP,sperm concentration,PR％and DFI in severe group were significantly lower than those in mild and moderate groups(P＜0.05).Sperm count and HDS in severe group were significantly lower than those in mild group(P＜0.05).In infertile patients,seminal plasma nORP,DFI and HDS in varicocele group were significantly higher than those in control group(P＜0.05).And PR％in varicocele group was significantly lower than that in control group(P＜0.05).Conclusions:Seminal plasma nORP in patients with varicocele may be an important marker of oxidative stress affecting DFI and semen parameters.