ObjectiveTo investigate the therapeutic effect of Astragali Radix-mediated changes in gut microbiota on treating type 2 diabetes （T2DM）. MethodsA 12-week randomized， placebo-controlled clinical trial enrolled eighty patients with newly diagnosed type 2 diabetes and poor glycemic control in the Qi deficiency type. All patients received insulin therapy. The observation group （40 cases） was administered with Astragali Radix Granules， while the control group （40 cases） received a placebo. Both treamtents were taken orally twice daily. Changes in gut microbiota were assessed by 16s rDNA sequencing. Serum glucagon-like peptide-1 （GLP-1） levels were measured using enzyme-linked immunosorbent assay （ELISA）. Glucose metabolism indicators including fasting blood glucose （FPG）， 2-hour postprandial blood glucose （2 h PG），glycated albumin（GA）， and glycated hemoglobin （HbA1c） were evaluated. Pancreatic function was evaluated using fasting C-peptide （FCP）， 2-hour postprandial C-peptide （2 h CP）， and C-peptide area under the curve （AUC_cp）. Traditional Chinese medicine （TCM） syndrome scores， clinical efficacy， and safety indicators were also observed. ResultsIn terms of glucose metabolism indicators， compared with the baseline， both groups exhibited significantly lower FPG， 2 h PG， GA and HbA1C （P<0.01），while FCP， 2 h CP and AUC_cp were significantly higher （P<0.01）. Compared with the control group after the treatment， the observation group showed significantly lower FPG， 2 h PG， GA and HbA1C（P<0.05， P<0.01），and significantly higher FCP， 2 h CP and AUC_cp （P<0.05， P<0.01）， indicating that Astragali Radix can improve glucose metabolism. In terms of the diversity of gut microbiota， no significant differences were detected in the Chao1， Shannon and Simpson indexes of the two groups compared with their respective baselines. However， compared with the post-treatment control group， the observation group demonstrated significant increases in the Chao1， Shannon and Simpson indexes （P<0.05， P<0.01）. The β-diversity analysis showed significant separation in gut microbiota composition before and after treatment in both groups， indicating that Astragali Radix can significantly alter the structure and improve the diversity of gut microbiota. At the phylum level， compared with the baseline， both groups showed a significant increase in the relative abundance of Bacteroidota（P<0.01）. The relative abundance of the potentially harmful phylum Proteobacteria was significantly lower in the observation Group after treatment （P<0.01）. Compared with the post-treatment control group， the observation group had a significantly higher relative abundance of Bacteroidota（P<0.01）. No significant difference was found in Firmicutes/Bacteroidota （F/B） ratio between the two groups after treatment， and other phyla showed no significant differences. At the genus level， compared with the baseline， the observation group exhibited a significant increase in Bacteroides （P<0.01） and a significant decrease in Escherichia-Shigella （P<0.01）， whereas no significant difference was seen in the control group . Compared with the control group after treatment， the observation group after treatment had a significantly higher relative abundance of Bacteroides （P<0.01）. No significant differences were seen in other genera. Linear discriminant analysis （LDA） identified potential characteristics taxa： in the observation group， Bacteroidota at the phylum level and Bacteroides and Dubosiella at the genus level， in the control group， Proteobacteria at the phylum level as well as Barnesiella and Staphylococcus at the genus level. Correlation analysis based on a heatmap revealed that GLP-1 levels were positively correlated with Firmicutes， F/B ratio and Fusobacterium， and negatively correlated with Bacteroidota， Proteobacteria， Bacteroides and Escherichia-Shigella. In terms of clinical efficacy， compared with the control group， the total effective rate of the observation group was significantly higher （P<0.05）. Compared with the baseline， the scores for shortness of breath， fatigue， weakness， spontaneous sweating and reluctance to speak significantly decreased in both groups （P<0.01）. Compared with the control group after treatment， the score for weakness was significantly lower in the observation group （P<0.01），indicating that Astragali Radix could improve clinical symptoms and alleviate weakness symptoms. In terms of safety， compared with the baseline， alanine aminotransferase （ALT） levels significantly decreased in both groups （P<0.05，P<0.01），indicating that Astragali Radix did not induce any significant abnormalities in liver and kidney functions. ConclusionAstragali Radix demonstrates the potential to significantly improve the gut microbiota environment in patients of newly diagnosed type 2 diabetes with Qi deficiency. The therapeutic effect may contribute to glycemic control， possibly mediated by an elevation in GLP-1 level. These findings may support its further clinical investigations and potential applications.

Objective To investigate the protective effect of epigallocatechin gallate(EGCG)on 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced Parkinson's disease model mice.Methods Twenty-eight male C57BL/6J mice aged 6～8 weeks were randomly divided into four groups:the control group,the model group,the low-dose EGCG group[25 mg/(kg·d)],and the high-dose EGCG group[50 mg/(kg·d)].A Parkin-son's disease(PD)mouse model was established by intraperitoneal injection of MPTP at a dose of 30 mg/(kg·d)for 7 consecutive days.The protective effect of EGCG on MPTP-induced Parkinson's model mice was analyzed through behavioral index detection and Western blot method.Results(1)In the behavioral tests,compared with the model group,the movement distance and speed of mice treated with low-and high-dose EGCG were significantly improved(both P values<0.001).The mice in the high-dose EGCG treatment group also showed a significant advantage in the percentage of the central path distance(P<0.001).(2)Compared with the control group,the deposition of α-synuclein in the model group increased significantly(P<0.001).Compared with the model group,both the low-and high-dose EGCG groups reduced the deposition of α-synuclein(both P<0.001).(3)Compared with the control group,the expression levels of Beclin 1 and LC3 proteins in the substantia nigra region of mice in the model group decreased significantly(both P<0.001),while the expression level of p62 protein increased significantly(P<0.001).After treatment with EGCG,compared with the model group,the expression levels of Beclin 1 and LC3 proteins in mice of the low-dose EGCG group increased to varying degrees(P<0.01;P<0.001),and the expression level of p62 protein decreased significantly(P<0.001).In the high-dose EGCG group,the expression levels of Beclin 1 and LC3 proteins increased significantly(both P<0.001),and the expression level of p62 protein decreased significantly(P<0.001).Conclusion EGCG reduces alpha-synuclein deposition via the autophagy-lysosomal pathway and protects against MPTP-induced Parkinson's disease model mice.

Objective To investigate the protective effect of epigallocatechin gallate(EGCG)on 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced Parkinson's disease model mice.Methods Twenty-eight male C57BL/6J mice aged 6～8 weeks were randomly divided into four groups:the control group,the model group,the low-dose EGCG group[25 mg/(kg·d)],and the high-dose EGCG group[50 mg/(kg·d)].A Parkin-son's disease(PD)mouse model was established by intraperitoneal injection of MPTP at a dose of 30 mg/(kg·d)for 7 consecutive days.The protective effect of EGCG on MPTP-induced Parkinson's model mice was analyzed through behavioral index detection and Western blot method.Results(1)In the behavioral tests,compared with the model group,the movement distance and speed of mice treated with low-and high-dose EGCG were significantly improved(both P values<0.001).The mice in the high-dose EGCG treatment group also showed a significant advantage in the percentage of the central path distance(P<0.001).(2)Compared with the control group,the deposition of α-synuclein in the model group increased significantly(P<0.001).Compared with the model group,both the low-and high-dose EGCG groups reduced the deposition of α-synuclein(both P<0.001).(3)Compared with the control group,the expression levels of Beclin 1 and LC3 proteins in the substantia nigra region of mice in the model group decreased significantly(both P<0.001),while the expression level of p62 protein increased significantly(P<0.001).After treatment with EGCG,compared with the model group,the expression levels of Beclin 1 and LC3 proteins in mice of the low-dose EGCG group increased to varying degrees(P<0.01;P<0.001),and the expression level of p62 protein decreased significantly(P<0.001).In the high-dose EGCG group,the expression levels of Beclin 1 and LC3 proteins increased significantly(both P<0.001),and the expression level of p62 protein decreased significantly(P<0.001).Conclusion EGCG reduces alpha-synuclein deposition via the autophagy-lysosomal pathway and protects against MPTP-induced Parkinson's disease model mice.

Parkinson disease (PD) is a complex neurodegenerative disorder characterized by a variety of motor and non-motor symptoms. Many studies have shown that the transmembrane protein 175 (TMEM175) gene may be a potential target for the treatment of PD and other neurodegenerative disorders, but the specific pathogenic mechanism remains unclear. TMEM175 is a lysosomal protein-coding gene that encodes a lysosomal proton channel protein. This article reviews the research advances in the characterization of the TMEM175 gene and its encoded proteins, the clinical features of mutant PD, and related pathogenic mechanism. It is shown that the TMEM175 gene has an impact on the pathogenesis of PD, and patients with different mutation sites tend to have different ages of onset and clinical features. Compared with the patients without TMEM175 mutations, the patients with TMEM175 mutations tend to have an earlier age of onset, more severe motor symptoms, and more susceptibility to cognitive impairment and non-motor symptoms. This article systematically reviews the TMEM175 gene, in order to assist in the early diagnosis of PD and the discovery of new disease-modifying therapies and treatment strategies.
Parkinson Disease

OBJECTIVE: To identify the optimal machine learning algorithm for predicting post-stroke epilepsy (PSE) within one year following acute stroke, establish a nomogram model based on this algorithm, and perform external validation to achieve accurate prediction of secondary epilepsy. METHODS: A total of 870 acute stroke patients admitted to the emergency department of Xiang'an Hospital of Xiamen University from June 2019 to June 2023 were enrolled for model development (model group). An external validation cohort of 435 acute stroke patients admitted to the Fifth Hospital of Xiamen during the same period was used to validate the machine learning algorithms and nomogram model. Patients were classified into control and epilepsy groups based on the development of PSE within one year. Clinical and laboratory data, including baseline characteristics, stroke location, vascular status, complications, hematologic parameters, and National Institutes of Health Stroke Scale (NIHSS) score, were collected for analysis. Nine machine learning algorithms such as logistic regression, CN2 rule induction, K-nearest neighbors, adaptive boosting, random forest, gradient boosting, support vector machine, naive Bayes, and neural network were applied to evaluate predictive performance. The area under the curve (AUC) of receiver operator characteristic curve (ROC curve) was used to identify the optimal algorithm. Logistic regression was used to screen risk factors for PSE, and the top 10 predictors were selected to construct the nomogram model. The predictive performance of the model was evaluated using the ROC curve in both the model and validation groups. RESULTS: Among the 870 patients in the model group, 29 developed PSE within one year. Among the nine algorithms tested, logistic regression demonstrated the best performance and generalizability, with an AUC of 0.923. Univariate logistic regression identified several risk factors for PSE, including platelet count, white blood cell count, red blood cell count, glycated hemoglobin (HbA1c), C-reactive protein (CRP), triglycerides, high-density lipoprotein (HDL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), activated partial thromboplastin time (APTT), thrombin time, D-dimer, fibrinogen, creatine kinase (CK), creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), serum sodium, lactic acid, anion gap, NIHSS score, brain herniation, periventricular stroke, and carotid artery plaque. Further multivariate logistic regression analysis showed that white blood cell count, HDL, fibrinogen, lactic acid and brain herniation were independent risk factors [odds ratio (OR) were 1.837, 198.039, 47.025, 11.559, 70.722, respectively, all P < 0.05]. In the external validation group, univariate logistic regression analysis showed that platelet count, white blood cell count, CRP, triacylglycerol, APTT, D-dimer, fibrinogen, CK, CK-MB, LDH, NIHSS score, and cerebral herniation were risk factors for PSE one year after acute stroke. Further multiple logistic regression analysis showed that APTT and cerebral herniation were independent predictors (OR were 0.587 and 116.193, respectively, both P < 0.05). The nomogram model, constructed using 10 key variables-brain herniation, periventricular stroke, carotid artery plaque, white blood cell count, triglycerides, thrombin time, D-dimer, serum sodium, lactic acid, and NIHSS score-achieved an AUC of 0.908 in the model group and 0.864 in the external validation group. CONCLUSIONS The logistic regression-based prediction model for epilepsy one year after acute stroke, developed using machine learning algorithms, showed optimal predictive performance. The nomogram model based on the logistic regression-derived predictors showed strong discriminative power and was successfully validated externally, suggesting favorable clinical applicability and generalizability.
Humans ; Machine Learning ; Stroke/complications* ; Nomograms ; Epilepsy/etiology* ; Algorithms ; Male ; Female ; Logistic Models ; Middle Aged ; Aged ; Risk Factors ; Bayes Theorem

Objective To systematic evaluate the impact of applying the clinical nursing pathway(CNP)on epidural anesthetic analgesia natural delivery.Methods The randomized controlled trial(RCT)and quasi-experimental researches on the application of CNP in epidural anesthetic analgesia natural delivery were retrieved from PubMed,Cochrane Library,Embase,Web of Science,China Knowledge Network database,Wanfang database,VIP and the Chinese Biomedical Literature Database.The retrieval time limit was from January 1,2014,to July 31,2024 with no language limitation.The meta analysis on the included studies was performed by applying RevMan5.4.1.Results A total of 5 RCTs and 2 quasi-experimental studies were in-cluded,involving 979 parturients with deliveries.The meta analysis showed that compared with the conven-tional nursing,CNP could shorten the duration of the first stage of labor(MD=—1.06,95％CI:—1.95——0.17,P=0.02)and the duration of the second stage of labor(MD=—0.12,95％CI:—0.21——0.03,P=0.006);decreased the rate of perineal lateral incision(RR=0.73,95％CI:0.65-0.83,P＜0.001)and inci-dence rate of postpartum urinary retention(RR=0.35,95％CI:0.20-0.63,P＜0.001);and shortened the time to lactation initiation(SMD=—1.52,95％CI:—2.38——0.66,P＜0.001).There was no influence on reducing postpartum 24 h hemorrhage amount(SMD=—0.51,95％CI:—1.23-0.21,P=0.16).The study subjects were divided into the primipara women subgroup and unclassified parturients subgroup.Compared with the conventional nursing group,compared with the conventional nursing,CNP had no impact on the dura-tion of the first stage of labor(MD=—0.32,95％CI:—0.61-0.98,P=0.63)and the duration of the second stage of labor(MD=—0.11,95％CI:—0.25-0.04,P=0.15)in the primipara women subgroup.CNP could reduce the postpartum 24 h hemorrhage volume in the unclassified parturients subgroup(SMD=—1.47,95％CI:—1.72——1.21,P＜0.001).Conclusion Application of CNP in parturients labor analgesia could reduce the perineal lateral incision rate and incidence rate of postpartum urinary retention and shorten the time to lac-tation initiation.Due to the heterogeneity among studies,the impact of CNP on the labor duration and the bleeding amount within postpartum 24 h still requires more high-quality studies to be conducted in the future for verification.

Objective: To analyze the results of colorectal cancer screening among residents in Baoshan District, Shanghai Municipality from 2013 to 2021, so as to provide the basis for promoting colorectal cancer screening and prevention. Methods: Permanent residents aged 50 to 74 years in Baoshan District from 2013 to 2021 were selected as the screening population. The initial screening was conducted using a risk assessment form and fecal occult blood test. Positive results on either the risk assessment form or fecal occult blood test were considered positive for the initial screening. Participants with positive initial screening results were invited to undergo colonoscopy. The positive rate of the initial screening, colonoscopy compliance rate, and colonoscopy results were analyzed. Results: A total of 264 907 individuals underwent the initial colorectal cancer screening in Baoshan District from 2013 to 2021, with 65 333 individuals (24.66%) testing positive. Among them, the positive rate of the risk assessment form was 12.16%, and the positive rate of fecal occult blood test was 14.64%. A total of 14 473 individuals completed colonoscopy, with a compliance rate of 22.15%. A total of 1 284 precancerous lesions were detected, with a detection rate of 8.87%, and 386 cases of colorectal cancer were identified, with a detection rate of 2.67%. The positive rate of the initial screening, colonoscopy compliance rate, precancerous lesion detection rate, and colorectal cancer detection rate were higher in males than in females (25.55% vs. 24.06%, 23.12% vs. 21.45%, 11.60% vs. 6.74%, 3.62% vs. 1.93%, all P<0.05). With increasing age, the positive rate of the initial screening increased, the colonoscopy compliance rate decreased, the precancerous lesion detection rate and colorectal cancer detection rate increased (all P<0.05). From 2013 to 2021, the positive rate of the initial screening among residents showed a downward trend, while the colonoscopy compliance rate showed an upward trend (both P<0.05). Conclusions The detection rate of precancerous lesions in colorectal cancer was 8.87%, and the detection rate of colorectal cancer was 2.67% in Baoshan District from 2013 to 2021. Male and older individuals were the key populations for screening, and the colonoscopy compliance among residents needs to be improved.

Objective To analyze the prevalence and genetic characteristics of influenza A(H3N2) viruses in the city of Xiangyang in 2022-2023, and to provide a scientific basis for predicting the epidemic and mutation of influenza virus. Methods Throat swab specimens of the influenza like cases were collected from national influenza monitoring sentinel hospitals in Xiangyang every week. RNA was extracted from the specimens for influenza diagnosing using real-time RT-PCR．Viruses were isolated from H3N2 positive specimens, and HA and NA genes were amplified and sequenced．3D modeling analyses were conducted. Results The gene phylogenetic tree showed that the H3N2 isolates in 2022-2023 belonged to 3C.2a1b.2a1 and 3C.2a1b.2a2 branches, respectively. The A(H3N2) influenza virus strains all had amino acid point mutation sites on important antigenic determinants of HA protein. The epitope mutations of the 2022 A(H3N2) strain mainly occurred in regions B, C, and D. The epitope mutations of the A(H3N2) strain in 2023 mainly occurred in regions C and D. Different glycosylation sites of HA gene were found in 2022-2023 strains. No variation was found in key amino acid sites associated with neuraminidase inhibitor resistance. The difference of overall structure was not obvious in the three-dimensional simulation structure diagram. Conclusion The A(H3N2) influenza strains isolated in this study have shown antigenic drift, especially the mutation of HA, which may affect the protective effect of the vaccine on the local population and lead to influenza epidemic. The variations of HA and NA suggest that close attention should be paid to the epidemic and genetic variation of H3N2 subtype influenza virus, to provide a scientific basis for the selection of influenza virus vaccine strains and the prevention and control of influenza.

Objective To observe the effects of Angelicae Sinensis Radix-Paeoniae Radix alba combined with bone marrow mesenchymal stem cells(BM-MSCs)transplantation on liver inflammation and hepatocytes regeneration in non-alcoholic steatohepatitis(NASH)associated cirrhosis;To discuss its possible mechanism.Methods West diet combined with carbon tetrachloride was used to prepare the NASH related cirrhosis model.The mice were randomly divided into control group,model group,Angelicae Sinensis Radix-Paeoniae Radix alba group,BM-MSCs group,and Angelicae Sinensis Radix-Paeoniae Radix alba+BM-MSCs group,with 12 mice in each group.After successful modeling,corresponding interventions were given according to grouping for 4 consecutive weeks.HE staining was used to observe the morphology of liver tissue;the contents of serum ALT,AST,TBil,TG,ALB,AFP,as well as the contents of IL-1β,TNF-α and HGF in liver tissue were detected;RT-qPCR was used to detect TLR9,MyD88,TRAF6 and NF-κBp65 mRNA expression in liver cells;primary liver cells were separated,CpG ODN 2216 stimulation was induced in vitro,cells supernatant was extracted,and IL-1β and TNF-α content were detected.Results Compared with the control group,inflammatory cell infiltrated in liver tissue of model group mice,accompanied by hepatocyte necrosis and collagen deposition,forming pseudo lobules;the contents of serum ALT,AST,TBil and TG increased,the content of ALB decreased,the content of HGF in liver tissue decreased,the contents of IL-1β and TNF-α increased,with statistical significance(P<0.05);the mRNA expressions of TLR9,MyD88,TRAF6 and NF-κBp65 in liver cells increased(P<0.05),and the contents of IL-1β and TNF-α in cells supernatant increased after CpG ODN 2216 induction(P<0.05).Compared with the model group,the inflammatory infiltration in liver tissue and necrosis of liver cells were reduced and the degree of liver fibrosis was alleviated in the Angelicae Sinensis Radix-Paeoniae Radix alba+BM-MSCs group,the liver tissue damage in Angelicae Sinensis Radix-Paeoniae Radix alba group and BM-MSCs group were slightly improved;except for the TG content in BM-MSCs group,all detection indicators showed significant improvement in each intervention group(P<0.05).Compared with the Angelicae Sinensis Radix-Paeoniae Radix alba group and BM-MSCs group,the Angelicae Sinensis Radix-Paeoniae Radix alba+BM-MSCs group showed statistical significance in related detection indicators(P<0.05),and demonstrated a synergistic effect.Conclusion Angelicae Sinensis Radix-Paeoniae Radix alba combined with BM-MSCs transplantation could effectively improve the liver function and promote liver cell regeneration.The mechanism is associated with the down-regulation of TLR9/NF-κB signaling pathway expressions and function,the inhibition of inflammatory cytokines secretions,and the improvement of liver inflammatory microenviroment.

Objective:To investigate the relationship between serum glial cell line-derived neurotrophic factor (GDNF) levels and neuroimaging changes and cognitive impairment in patients with cerebral small vascular disease (CSVD).Methods:135 patients with CSVD recruited from the Department of Neurology of the First Affiliated Hospital of Xinxiang Medical University from September 2021 to July 2022 were assessed by cranial multimodal magnetic resonance imaging and Montreal cognitive function assessment (MoCA), and the basic data were analyzed at the same time.The serum GDNF concentration of all patients was detected by enzyme-linked immunosorbent assay (ELISA). According to the median GDNF concentration, the patients were divided into low GDNF group and high GDNF group. The baseline data, MoCA score and imaging markers of the two groups were compared by Mann-Whitney U test, chi-square test, logistic regression, Kruskal-Wallis H test and Jonckheere-Terpstra trend test, and the correlation between serum GDNF level and imaging markers and cognitive function of patients with CSVD was analyzed. Results:The median serum GDNF concentration of all CSVD patients was 16.66 pg/mL. Multivariate logistic regression analysis showed that low serum GDNF level was a risk factor for white matter hyperintensity and total image load in patients with CSVD. Serum GDNF level was a protective factor of cognitive impairment in patients with CSVD in multiple logistic regression analysis. The area under the curve of ROC curve analysis of cognitive impairment after CSVD predicted by serum GDNF level was 0.735, the sensitivity was 66.4%, and the specificity was 71.4%. The level of serum GDNF was positively related with visual space and executive function, attention and computational power, delayed recall and orientation( r=0.267, 0.187, 0.219, 0.215, all P<0.05). Conclusion:The serum GDNF level is related to white matter hyperintensities, total imaging load and cognitive impairment in patients with CSVD. Serum GDNF level may play a predictive role in CSVD and cognitive impairment.