OBJECTIVES: To investigate the effect of Ching Shum Pills (CSP) for alleviating non-alcoholic fatty liver disease (NAFLD) and the underlying mechanism. METHODS: In a mouse model of NAFLD, the therapeutic effect of CSP was evaluated by measuring serum glucose, lipid profiles (TC, TG, LDL-C, HDL-C), and hepatic function markers. Network pharmacology was employed to identify active compounds in CSP and their targets using TCMSP, HERB, SwissTargetPrediction, GeneCards, OMIM, and DisGeNET. Protein-protein interaction (PPI) networks, Gene Ontology (GO), and KEGG pathway analyses were conducted. Molecular docking (AutoDock Vina) was used to assess the compound-target binding affinities. Quantitative real-time PCR (qRT-PCR) was used to validate the mRNA expressions of the core genes in the liver tissue of the mouse models. RESULTS: In the mouse model of NAFLD, treatment with CSP significantly reduced body weight gain and serum TG levels of the mice, and high-dose CSP treatment resulted in obvious reduction of ALT levels and hepatic fat accumulation. Network pharmacology analysis identified quercetin and 2-monolinolenin as the key bioactives in CSP, which target TNF, AKT1, IL6, TP53, and ALB. Docking simulations suggested strong binding between the two core compounds and their target proteins. The results of qRT-PCR showed that high-fat diet induced significant downregulation of Tp53, Cpt1, and Ppara expressions in mice, which was effectively reversed by CSP treatment. CONCLUSIONS CSP can improve lipid metabolism disorders in NAFLD mice through a regulatory mechanism involving multiple targets and pathways to reduce liver fat accumulation and protect liver function. The key components in CSP such as quercetin and linolenic acid monoacylglycerol may participate in the regulation of such metabolic processes as fatty acid oxidation by targeting TP53.
Animals ; Non-alcoholic Fatty Liver Disease/drug therapy* ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Lipid Metabolism/drug effects* ; Molecular Docking Simulation ; Disease Models, Animal ; Liver/metabolism* ; Male ; Lipid Metabolism Disorders/drug therapy* ; PPAR alpha/metabolism* ; Mice, Inbred C57BL ; Network Pharmacology

Objective To investigate the effect of Ching Shum Pills(CSP)for alleviating non-alcoholic fatty liver disease(NAFLD)and the underlying mechanism.Methods In a mouse model of NAFLD,the therapeutic effect of CSP was evaluated by measuring serum glucose,lipid profiles(TC,TG,LDL-C,HDL-C),and hepatic function markers.Network pharmacology was employed to identify active compounds in CSP and their targets using TCMSP,HERB,SwissTargetPrediction,GeneCards,OMIM,and DisGeNET.Protein-protein interaction(PPI)networks,Gene Ontology(GO),and KEGG pathway analyses were conducted.Molecular docking(AutoDock Vina)was used to assess the compound-target binding affinities.Quantitative real-time PCR(qRT-PCR)was used to validate the mRNA expressions of the core genes in the liver tissue of the mouse models.Results In the mouse model of NAFLD,treatment with CSP significantly reduced body weight gain and serum TG levels of the mice,and high-dose CSP treatment resulted in obvious reduction of ALT levels and hepatic fat accumulation.Network pharmacology analysis identified quercetin and 2-monolinolenin as the key bioactives in CSP,which target TNF,AKT1,IL6,TP53,and ALB.Docking simulations suggested strong binding between the two core compounds and their target proteins.The results of qRT-PCR showed that high-fat diet induced significant downregulation of Tp53,Cpt1,and Ppara expressions in mice,which was effectively reversed by CSP treatment.Conclusion CSP can improve lipid metabolism disorders in NAFLD mice through a regulatory mechanism involving multiple targets and pathways to reduce liver fat accumulation and protect liver function.The key components in CSP such as quercetin and linolenic acid monoacylglycerol may participate in the regulation of such metabolic processes as fatty acid oxidation by targeting TP53.

Objective:This study aims to construct a quality evaluation index system for specialized disease databases. Through systematic assessment and optimization, it seeks to comprehensively enhance the quality and standardization of specialized disease cohort data. This initiative will provide more precise and reliable data support for disease research, the development of innovative drugs and medical devices, as well as policy formulation.Methods:By conducting a thorough analysis of domestic and international literature and policies related to clinical research data quality evaluation systems, preliminary quality evaluation indicators for specialized disease databases were established. Utilizing the Delphi method in two rounds, a quality evaluation system for specialized disease databases was constructed. The Analytic Hierarchy Process (AHP) and YAAHP 7.5 software were then employed to calculate the relative weights of indicators at various levels and their composite weights.Results:The two rounds of expert consultation achieved a 100.00% valid response rate, with an expert authority coefficient of 0.81 in both rounds. In the second round, the Kendall′s coordination coefficients for the first-level and second-level indicators reached 0.311 and 0.218, respectively ( P<0.05), indicating a good level of consensus among experts. The final specialized disease database quality evaluation system consists of 3 first-level indicators, 10 second-level indicators, and 32 third-level indicators. The first-level indicators include database construction, data quality, and cohort development, with weight coefficients of 31.82%, 41.49%, and 26.69%, respectively. The scientific validity of the indicator system was confirmed through reliability and validity analyses. When applied to assessing 58 specialized disease database projects from 36 medical institutions in a certain city, the results showed significant improvements in scores for database construction, data quality, and cohort development, with the most notable improvement observed in database construction. Conclusions:This study successfully developed a scientific, practical, and rationally weighted quality evaluation system for specialized disease databases, demonstrating high expert consensus and broad applicability.Validation studies have shown that this system effectively enhances the standardization and data quality of databases, providing robust technical support and assurance for specialized disease research and data resource sharing.

Objective:To explore the mediating effect of dyadic coping between perceived social support and family cohesion and adaptability and happiness in spouses of patients with post-stroke motor impairments.Methods:From December 2023 to May 2024, a total of 366 spouses of patients with post-stroke motor impairments who received treatment at the First Affiliated Hospital of Zhengzhou University were recruited as study participants. Data were collected using the general information, perceived social support scale, dyadic coping inventory, Chinese version of the family cohesion and adaptability scale(FACESⅡ-CV), and memorial University of Newfoundland scale of happiness. The AMOS 21.0 software was utilized to construct a structural equation model to examine the mediating effect of dyadic coping between perceived social support, family cohesion and adaptability and happiness.Results:The spouses of patients with post-stroke motor impairments reported overall scores for perceived social support (62.80±12.80), dyadic coping (117.07±20.78), family cohesion and adaptability (115.96±19.51), and happiness (22.27±7.29). Family cohesion and adaptability was positively correlated with dyadic coping and perceived social support ( r=0.614, 0.520, both P<0.01).Spousal happiness was positively correlated with dyadic coping and perceived social support ( r=0.296, 0.202, both P<0.01).The spouses recognized that perceived social support had a positive correlation with dyadic coping ( r=0.479, P<0.01).Dyadic coping played a partial mediating effect between perceived social support and family cohesion and adaptability as well as happiness, accounting for 32.41% (0.211/0.651) and 44.39% (0.190/0.428) of the total effect, respectively. Conclusion:Dyadic coping is the mediating variable of family cohesion, adaptability and happiness of spouses of patients with post-stroke motor impairments. Medical staff should try to construct a dyadic coping intervention plan to improve the dyadic coping level of spouses of patients with post-stroke motor impairments, so as to improve their family happiness index.

Objective:To investigate the iodine nutrition level and the prevalence of thyroid nodules in pregnant women in Hubei Province, and to provide a basis for prevention and treatment of iodine deficiency disorders.Methods:According to the requirements of the National Iodine Deficiency Disorders Monitoring Program (2016 Edition), a cross-sectional survey of iodine nutrition status of pregnant women ( n = 321) was conducted from July to October 2020 in two mountainous counties (Tongcheng County and Xingshan County) and two plain counties (Liangzihu District and Xinzhou District) in Hubei Province. Among them, there were 43, 114, and 164 pregnant women in the early, middle, and late stages of pregnancy, respectively. Edible salt samples and once random urine samples were collected to detect salt iodine and urinary iodine, and thyroid ultrasound was performed to calculate the detection rate of thyroid nodules. Results:The coverage rate of iodized salt, qualified rate of iodized salt, and consumption rate of qualified iodized salt in Hubei Province were 99.69% (320/321), 95.94% (307/320) and 95.64% (307/321), respectively. The median urinary iodine level for pregnant women was 164.80 μg/L. Among them, the median urinary iodine levels in Liangzihu District, Tongcheng County, Xinzhou District, and Xingshan County were 175.90, 178.25, 155.80 and 143.00 μg/L, respectively. There was a statistically significant difference in urinary iodine levels among different regions ( H = 8.51, P = 0.037). The median urinary iodine levels of pregnant women in the early, middle, and late stages of pregnancy were 187.20, 144.45, and 172.05 μg/L, respectively. There was no statistically significant difference in urinary iodine levels among pregnant women in different stages of pregnancy ( H = 2.94, P = 0.230). Urinary iodine < 150, 150 - < 250, 250 - < 500, ≥500 μg/L accounted for 45.48% (146/321), 33.33% (107/321), 19.63% (63/321), 1.56% (5/321), respectively. The detection rate of thyroid nodules was 16.82% (54/321), and the goiter rate was 0.93% (3/321). Conclusions:In 2020, Hubei Province is in an appropriate state of iodine, and there are still a considerable proportion of pregnant women in a state of iodine deficiency. The detection rate of thyroid nodules is relatively low. It is necessary to continuously monitor the iodine nutrition of pregnant women, strengthen health promotion on the hazards of iodine deficiency during pregnancy, and minimize maternal and infant health damage caused by iodine deficiency.

Objective:To explore the mediating effect of dyadic coping between perceived social support and family cohesion and adaptability and happiness in spouses of patients with post-stroke motor impairments.Methods:From December 2023 to May 2024, a total of 366 spouses of patients with post-stroke motor impairments who received treatment at the First Affiliated Hospital of Zhengzhou University were recruited as study participants. Data were collected using the general information, perceived social support scale, dyadic coping inventory, Chinese version of the family cohesion and adaptability scale(FACESⅡ-CV), and memorial University of Newfoundland scale of happiness. The AMOS 21.0 software was utilized to construct a structural equation model to examine the mediating effect of dyadic coping between perceived social support, family cohesion and adaptability and happiness.Results:The spouses of patients with post-stroke motor impairments reported overall scores for perceived social support (62.80±12.80), dyadic coping (117.07±20.78), family cohesion and adaptability (115.96±19.51), and happiness (22.27±7.29). Family cohesion and adaptability was positively correlated with dyadic coping and perceived social support ( r=0.614, 0.520, both P<0.01).Spousal happiness was positively correlated with dyadic coping and perceived social support ( r=0.296, 0.202, both P<0.01).The spouses recognized that perceived social support had a positive correlation with dyadic coping ( r=0.479, P<0.01).Dyadic coping played a partial mediating effect between perceived social support and family cohesion and adaptability as well as happiness, accounting for 32.41% (0.211/0.651) and 44.39% (0.190/0.428) of the total effect, respectively. Conclusion:Dyadic coping is the mediating variable of family cohesion, adaptability and happiness of spouses of patients with post-stroke motor impairments. Medical staff should try to construct a dyadic coping intervention plan to improve the dyadic coping level of spouses of patients with post-stroke motor impairments, so as to improve their family happiness index.

Objective:To investigate the iodine nutrition level and the prevalence of thyroid nodules in pregnant women in Hubei Province, and to provide a basis for prevention and treatment of iodine deficiency disorders.Methods:According to the requirements of the National Iodine Deficiency Disorders Monitoring Program (2016 Edition), a cross-sectional survey of iodine nutrition status of pregnant women ( n = 321) was conducted from July to October 2020 in two mountainous counties (Tongcheng County and Xingshan County) and two plain counties (Liangzihu District and Xinzhou District) in Hubei Province. Among them, there were 43, 114, and 164 pregnant women in the early, middle, and late stages of pregnancy, respectively. Edible salt samples and once random urine samples were collected to detect salt iodine and urinary iodine, and thyroid ultrasound was performed to calculate the detection rate of thyroid nodules. Results:The coverage rate of iodized salt, qualified rate of iodized salt, and consumption rate of qualified iodized salt in Hubei Province were 99.69% (320/321), 95.94% (307/320) and 95.64% (307/321), respectively. The median urinary iodine level for pregnant women was 164.80 μg/L. Among them, the median urinary iodine levels in Liangzihu District, Tongcheng County, Xinzhou District, and Xingshan County were 175.90, 178.25, 155.80 and 143.00 μg/L, respectively. There was a statistically significant difference in urinary iodine levels among different regions ( H = 8.51, P = 0.037). The median urinary iodine levels of pregnant women in the early, middle, and late stages of pregnancy were 187.20, 144.45, and 172.05 μg/L, respectively. There was no statistically significant difference in urinary iodine levels among pregnant women in different stages of pregnancy ( H = 2.94, P = 0.230). Urinary iodine < 150, 150 - < 250, 250 - < 500, ≥500 μg/L accounted for 45.48% (146/321), 33.33% (107/321), 19.63% (63/321), 1.56% (5/321), respectively. The detection rate of thyroid nodules was 16.82% (54/321), and the goiter rate was 0.93% (3/321). Conclusions:In 2020, Hubei Province is in an appropriate state of iodine, and there are still a considerable proportion of pregnant women in a state of iodine deficiency. The detection rate of thyroid nodules is relatively low. It is necessary to continuously monitor the iodine nutrition of pregnant women, strengthen health promotion on the hazards of iodine deficiency during pregnancy, and minimize maternal and infant health damage caused by iodine deficiency.

Objective:This study aims to construct a quality evaluation index system for specialized disease databases. Through systematic assessment and optimization, it seeks to comprehensively enhance the quality and standardization of specialized disease cohort data. This initiative will provide more precise and reliable data support for disease research, the development of innovative drugs and medical devices, as well as policy formulation.Methods:By conducting a thorough analysis of domestic and international literature and policies related to clinical research data quality evaluation systems, preliminary quality evaluation indicators for specialized disease databases were established. Utilizing the Delphi method in two rounds, a quality evaluation system for specialized disease databases was constructed. The Analytic Hierarchy Process (AHP) and YAAHP 7.5 software were then employed to calculate the relative weights of indicators at various levels and their composite weights.Results:The two rounds of expert consultation achieved a 100.00% valid response rate, with an expert authority coefficient of 0.81 in both rounds. In the second round, the Kendall′s coordination coefficients for the first-level and second-level indicators reached 0.311 and 0.218, respectively ( P<0.05), indicating a good level of consensus among experts. The final specialized disease database quality evaluation system consists of 3 first-level indicators, 10 second-level indicators, and 32 third-level indicators. The first-level indicators include database construction, data quality, and cohort development, with weight coefficients of 31.82%, 41.49%, and 26.69%, respectively. The scientific validity of the indicator system was confirmed through reliability and validity analyses. When applied to assessing 58 specialized disease database projects from 36 medical institutions in a certain city, the results showed significant improvements in scores for database construction, data quality, and cohort development, with the most notable improvement observed in database construction. Conclusions:This study successfully developed a scientific, practical, and rationally weighted quality evaluation system for specialized disease databases, demonstrating high expert consensus and broad applicability.Validation studies have shown that this system effectively enhances the standardization and data quality of databases, providing robust technical support and assurance for specialized disease research and data resource sharing.

Objective:To investigate the influence of maternal autoimmune diseases and anticoagulants, including low-molecular-weight heparin (LMWH) and aspirin, on the fetal fraction of maternal plasma cell-free DNA of non-invasive prenatal testing (NIPT).Methods:A prospective cohort study was conducted on women with singleton pregnancies receiving NIPT in the Nanjing Drum Tower Hospital from March 2021 to July 2022. NIPT was carried out using a polymerase chain reaction (PCR)-free amplification platform. In this study, four types of maternal autoimmune diseases, which were antiphospholipid syndrome, undifferentiated connective tissue disease, Sj?gren's syndrome, and systemic lupus erythematosus (SLE), and two anticoagulants, LMWH and aspirin, were studied. Univariate and multivariate linear regression models were used to analyze the factors influencing fetal fraction of maternal plasma cell-free DNA.Results:A total of 4 102 singleton pregnant women were enrolled in the prospective cohort, and 3 948 were finally included after excluding the cases with unclear dosing time of LMWH or aspirin, other autoimmune diseases, conceiving through ovulation induction alone, and having true positive or failed NIPT result. There were 96 cases with antiphospholipid syndrome, 35 with undifferentiated connective tissue disease, 34 with Sj?gren's syndrome, and 18 with SLE. A total of 108 patients only received LMWH treatment, 121 only received aspirin treatment, and 113 received both LMWH and aspirin treatment. Univariate linear regression analysis showed that maternal body mass index at blood collection ( B=－0.423), conceived by assisted reproductive technology ( B=－0.803), male fetus ( B=－0.458), undifferentiated connective tissue disease ( B=1.774), and SLE ( B=3.467) had influence on the fetal fraction (all P<0.05). Multivariate linear regression analysis showed that maternal body mass index at blood collection ( B=－0.415), conceived by assisted reproductive technology ( B=－0.585), male fetus ( B=－0.322), SLE ( B=3.347) and undifferentiated connective tissue disease ( B=1.336) were factors influencing fetal fraction (all P<0.05). Conclusions:Maternal use of LMWH or aspirin does not affect fetal fraction when performing NIPT on a PCR-free amplification platform, but undifferentiated connective tissue disease and SLE are the influencing factors. Therefore, pregnant women should be informed before the NIPT that the fetal fraction of maternal plasma cell-free DNA may be affected by maternal autoimmune diseases.

An increasing number of studies in recent years have focused on the association between female endometrial microbiota and fertility.Once the endometrial microflora microecology is unbalanced,it will cause a series of endometrial lesions,thereby destroying endometrial receptivity,affecting embryo implantation,resulting in embryo implantation or implantation failure.Among them,the most concerned is the positive significance of lactobacillus-led microbiota on reproductive outcome.Although the relationship between endometrial microbiota and reproductive outcome has not reached a consensus,most studies recognize the positive impact of lactobacillus-led microbiota on reproductive outcome.In this review,the relationship between lactobacillus-dominated microbiota and reproductive outcome is reviewed.