ObjectiveTo investigate the efficacy and underlying mechanisms of Gynostemma pentaphyllum alcohol extract in improving glucose and lipid metabolism disorders in db/db mice through transcriptomics and gut microbiota analysis. MethodsEighteen db/db mice were randomly assigned to the model（DM） group， metformin（MET） group， and G. pentaphyllum alcohol extract（GP） group， with six mice in each group， based on stratification of fasting blood glucose and body weight. An additional six db/m mice were selected as the normal control（NC） group. Mice in the NC and DM groups were administered deionized water （10 mL·kg^-1） daily. The MET group received metformin （0.195 g·kg^-1） by gavage. The GP group was treated with G. pentaphyllum alcohol extract （3.9 g·kg^-1） by gavage for six weeks. Fasting blood glucose was measured every two weeks. After six weeks of intervention， serum levels of total cholesterol （TC）， triglycerides （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， creatinine （CREA）， and blood urea nitrogen （BUN） were assessed. Enzyme-linked immunosorbent assay （ELISA） was used to measure insulin （FINS）， adiponectin （ADP）， and tumor necrosis factor-α （TNF-α）. Hematoxylin-eosin （HE） staining was used to observe liver histomorphology， periodic acid-Schiff （PAS） staining was employed to assess hepatic glycogen synthesis， and Oil Red O staining was used to detect hepatic lipid deposition. Liver transcriptomic data were used to identify differentially expressed genes in the liver and conduct enrichment analysis. Real-time PCR was employed to verify the expression levels of adiponectin gene （Adipoq）， peroxisome proliferator-activated receptor gamma coactivator-1α （PGC-1α）， AMP-activated protein kinase （AMPK）， peroxisome proliferator-activated receptor α （PPARα）， glucokinase （GCK）， forkhead box （Fox）O1， FoxO3， phosphoenolpyruvate carboxykinase （PEPCK）， and glucose-6-phosphatase （G6PC）. Metagenomic sequencing was conducted to analyze changes in gut microbiota composition. ResultsCompared with the NC group， the DM group exhibited significantly elevated fasting blood glucose （P<0.01）， serum AST， ALT， TC， TG， LDL-C， and HDL-C （P<0.01）. FINS， homeostatic model assessment for insulin resistance （HOMA-IR）， and the inflammatory cytokine TNF-α were significantly increased （P<0.01）， while ADP was significantly decreased （P<0.05）. Histological analysis confirmed severe hepatic steatosis and excessive lipid accumulation in the DM group， along with markedly reduced glycogen synthesis. Compared with the DM group， the GP group showed significantly decreased fasting blood glucose （P<0.01）， reduced serum TC， LDL-C， and HDL-C levels （P<0.05）， significantly decreased serum TG and AST levels （P<0.01）， significantly reduced FINS， HOMA-IR， and TNF-α levels （P<0.01）， and significantly increased ADP （P<0.01）. Hepatic steatosis and lipid deposition were significantly alleviated， while glycogen synthesis was markedly enhanced. Transcriptomic differential and enrichment analyses suggested that the mechanisms by which G. pentaphyllum alcohol extract improved hepatic glucose and lipid metabolism in db/db mice may involve regulation of the AMPK and FoxO signaling pathways. Real-time PCR results confirmed that expression of PGC-1α， PEPCK， G6PC， FoxO1， and FoxO3 was significantly downregulated following treatment with G. pentaphyllum alcohol extract （P<0.05， P<0.01）， whereas mRNA expression of Adipoq， PPARα， GCK， and AMPK was significantly upregulated （P<0.05， P<0.01）. Metagenomic analysis showed that the relative abundance of Lactobacillus， Alistipes， and Akkermansia species was higher in the GP group than in the DM group. ConclusionG. pentaphyllum alcohol extract may improve glucose and lipid metabolism disorders in db/db mice by regulating the hepatic AMPK/PPARα pathway to suppress lipid deposition and alleviate hepatic steatosis， by inhibiting gluconeogenesis through the AMPK/PGC-1α and FoxO pathways to lower fasting blood glucose， and by increasing the abundance of beneficial gut bacteria such as Lactobacillus， Alistipes， and Akkermansia to restore gut microbiota balance.

ObjectiveTo investigate the efficacy and underlying mechanisms of Gynostemma pentaphyllum alcohol extract in improving glucose and lipid metabolism disorders in db/db mice through transcriptomics and gut microbiota analysis. MethodsEighteen db/db mice were randomly assigned to the model（DM） group， metformin（MET） group， and G. pentaphyllum alcohol extract（GP） group， with six mice in each group， based on stratification of fasting blood glucose and body weight. An additional six db/m mice were selected as the normal control（NC） group. Mice in the NC and DM groups were administered deionized water （10 mL·kg^-1） daily. The MET group received metformin （0.195 g·kg^-1） by gavage. The GP group was treated with G. pentaphyllum alcohol extract （3.9 g·kg^-1） by gavage for six weeks. Fasting blood glucose was measured every two weeks. After six weeks of intervention， serum levels of total cholesterol （TC）， triglycerides （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， creatinine （CREA）， and blood urea nitrogen （BUN） were assessed. Enzyme-linked immunosorbent assay （ELISA） was used to measure insulin （FINS）， adiponectin （ADP）， and tumor necrosis factor-α （TNF-α）. Hematoxylin-eosin （HE） staining was used to observe liver histomorphology， periodic acid-Schiff （PAS） staining was employed to assess hepatic glycogen synthesis， and Oil Red O staining was used to detect hepatic lipid deposition. Liver transcriptomic data were used to identify differentially expressed genes in the liver and conduct enrichment analysis. Real-time PCR was employed to verify the expression levels of adiponectin gene （Adipoq）， peroxisome proliferator-activated receptor gamma coactivator-1α （PGC-1α）， AMP-activated protein kinase （AMPK）， peroxisome proliferator-activated receptor α （PPARα）， glucokinase （GCK）， forkhead box （Fox）O1， FoxO3， phosphoenolpyruvate carboxykinase （PEPCK）， and glucose-6-phosphatase （G6PC）. Metagenomic sequencing was conducted to analyze changes in gut microbiota composition. ResultsCompared with the NC group， the DM group exhibited significantly elevated fasting blood glucose （P<0.01）， serum AST， ALT， TC， TG， LDL-C， and HDL-C （P<0.01）. FINS， homeostatic model assessment for insulin resistance （HOMA-IR）， and the inflammatory cytokine TNF-α were significantly increased （P<0.01）， while ADP was significantly decreased （P<0.05）. Histological analysis confirmed severe hepatic steatosis and excessive lipid accumulation in the DM group， along with markedly reduced glycogen synthesis. Compared with the DM group， the GP group showed significantly decreased fasting blood glucose （P<0.01）， reduced serum TC， LDL-C， and HDL-C levels （P<0.05）， significantly decreased serum TG and AST levels （P<0.01）， significantly reduced FINS， HOMA-IR， and TNF-α levels （P<0.01）， and significantly increased ADP （P<0.01）. Hepatic steatosis and lipid deposition were significantly alleviated， while glycogen synthesis was markedly enhanced. Transcriptomic differential and enrichment analyses suggested that the mechanisms by which G. pentaphyllum alcohol extract improved hepatic glucose and lipid metabolism in db/db mice may involve regulation of the AMPK and FoxO signaling pathways. Real-time PCR results confirmed that expression of PGC-1α， PEPCK， G6PC， FoxO1， and FoxO3 was significantly downregulated following treatment with G. pentaphyllum alcohol extract （P<0.05， P<0.01）， whereas mRNA expression of Adipoq， PPARα， GCK， and AMPK was significantly upregulated （P<0.05， P<0.01）. Metagenomic analysis showed that the relative abundance of Lactobacillus， Alistipes， and Akkermansia species was higher in the GP group than in the DM group. ConclusionG. pentaphyllum alcohol extract may improve glucose and lipid metabolism disorders in db/db mice by regulating the hepatic AMPK/PPARα pathway to suppress lipid deposition and alleviate hepatic steatosis， by inhibiting gluconeogenesis through the AMPK/PGC-1α and FoxO pathways to lower fasting blood glucose， and by increasing the abundance of beneficial gut bacteria such as Lactobacillus， Alistipes， and Akkermansia to restore gut microbiota balance.

Objective: To analyze the epidemilogical and seasonal characteristics of foodborne Salmonella-associated diarrhea among children aged 0-6 years in Guizhou Province from 2016 to 2023, so as to provide a basis for the prevention and control of foodborne diseases. Methods: Data were extracted from the Foodborne Disease Survellance System for cases reported between January 1, 2016, and December 31, 2023. The incidence, seasonal characteristics, and peak periods were analyzed by the method of concentration and circular distribution. Results: A total of 6 434 cases of diarrhea in children aged 0-6 years were collected, and 455 cases of Salmonella were detected, with a positive detection rate of 7.07%. Salmonella typhimurium was the main serotype causing diarrhea (59.34%). The peak of the disease was from May 3 to September 30, with certain seasonal characteristics. The highest detection rate was found in children aged 1-3 years (8.66%). Among food types, the positive detection rates of Salmonella were relatively high in other foods (17.39%), fruits and their products (10.22%), infant and toddler foods (10.09%), and aquatic animals and their products (9.80%). The processing and packaging methods of food were mainly home-made (9.38%) and bulk food (7.54%). Conclusions The detection rate of Salmonella in children aged 0-6 years is high in Guizhou Province, with strong seasonal characteristics. The detection rates of other foods, fruits and their products, infant and toddler foods, and aquatic animals and their products are high. Enhanced pathogen surveillance for susceptible populations and high-risk foods, coupled with public health education during summer/autumn, is recommended.

ObjectiveTo prepare oral nanoemulsions encapsulating essential oil from Alpinia zerumbet fructus（EOFAZ） and to investigate its pro-absorption effect in vitro and distribution in vivo. MethodThe proteoglycan conjugate polysaccharides of vinegar-processed Bupleuri Radix-bovine serum albumin（VBCP-BSA） was prepared by Maillard reaction of VBCP and BSA. Taking VBCP-BSA as emulsifier， vitamin B₁₂（VB₁₂） as absorption enhancer， and medium chain triglycerides mixed with EOFAZ as oil phase， the nanoemulsions loaded with EOFAZ was prepared by high energy emulsification method. The particle size， particle size distribution， surface Zeta potential， EOFAZ content and appearance and morphology of the nanoemulsions were characterized， and fluorescein tracer method was used to investigate the absorption effect of fluorescein-labeled EOFAZ nanoemulsions in vitro and their distribution in vivo. ResultVBCP-BSA was formed by Maillard reaction for 48 h with high grafting rate. Using VBCP-BSA as emulsifier， the homogeneous pink nanoemulsions was prepared and denoted as EOFAZ@VBCP-BSA/VB₁₂. The particle size of the nanoemulsions was less than 100 nm and the particle size distribution was uniform. The surface of the nanoemulsions was a weak negative charge， and the shape was spherical. The encapsulation rate of the nanoemulsions for EOFAZ was greater than 80%， which had a good absorption effect in vitro and could enhance liver accumulation after oral administration. ConclusionThe designed proteoglycan nanoemulsions can effectively load EOFAZ， promote oral absorption and enhance liver distribution， which can provide experimental basis for the development of oral EOFAZ liver protection preparations.

Objective To explore the value of serum stearoyl sphingosine(C18∶1-Cer)and 1-stearoyl-sn-glycero-3-phospho-choline(LPC 18∶0)levels in pregnant women's serum samples during pregnancy in predicting gestational diabetes mellitus(GDM).Methods The clinical data and laboratory indicators of 126 pregnant women were retrospectively analyzed.The sub-jects were divided into GDM group(n=66)and control group(n=60)according to the GDM diagnosis results.Mass spec-trometry was used to detect the serum C18∶1-Cer and LPC18∶0 levels of the subjects in early and mid pregnancy.Logistic re-gression analysis was used to screen out the risk factors for GDM.Receiver operating characteristic(ROC)curve was used to evaluate the predictive value of C18∶1-Cer,LPC18∶0 and their combination for GDM.Results Compared with the control group,the serum C18∶1-Cer and LPC18∶0 levels of the subjects in the GDM group were significantly increased in early(18.92±2.77ng/ml vs 23.47±4.18ng/ml,41.32±17.55ng/ml vs 88.08±16.02ng/ml)and mid pregnancy(23.14±4.10ng/ml vs 18.76±4.05ng/ml,84.60±14.53ng/ml vs 40.50±17.79ng/ml),and the differences were statistically significant(t=7.127,15.637;-5.984,2.174,all P＜0.05)C18∶1-Cer was positively correlated with fasting plasma glucose(FPG),fasting plasma insulin(FPI),homeostasis model assessment of insulin resistance(HOMA-IR),glycated hemoglobin(HbA1c)and triglyceride(TG)(r=0.458,0.209,0.317,0.223,0.219,all P<0.05).LPC18.0 was positively correlated with FPG,FPI,HOMA-IR,HbA1c,total cholesterol(TC)and TG(r= 0.715,0.426,0.580,0.465,0.232,0.372,all P<0.05).Logistic regression analysis results showed that C18∶1-Cer[OR(95%CI):1.522(1.136～2.039),P<0.05]and LPC18:0[OR(95%CI):1.198(1.102～1.302),P<0.001]were independent risk factors for GDM.ROC curve analysis results showed that the area under the curve(AUC)of serum C18∶1-Cer,LPC18∶0 and the combination of the two indicators were 0.819,0.971 and 0.986,respectively.The predictive performance of the combination of the two indicators was better than that of the single detection.Conclusion Serum C18∶1-Cer and LPC18∶0 in early pregnancy were closely related to the occurrence of GDM.C18∶1-Cer combined with LPC 18∶0 has a certain predictive value for the early diagnosis of GDM.

Objective To investigate the effect of the HtrA serine peptidase 3(HTRA3)gene on choroidal neovascu-larization(CNV)and M2 macrophage polarization.Methods Fasting venous blood was collected from 30 patients with wet age-related macular degeneration(wAMD group)and 30 healthy subjects(normal group).The serum HTRA3 messen-ger ribonucleic acid(mRNA)level was detected by quantitative reverse transcription polymerase chain reaction(qRT-PCR).RF/6A cells were randomly divided into the control group,NC-sh group and HTRA3-sh group.Lentiviral vectors of NC-shRNA and HTRA3-shRNA were transfected into RF/6A cells in the NC-sh group and HTRA3-sh group by Lipo-fectamine2000.HTRA3 transfection was detected by qRT-PCR and Western blot.Then,the RF/6A cells were randomly di-vided into the N group,H group,H+NC-sh group and H+HTRA3-sh group.After cell transfection,RF/6A cells in the N group were cultured in a RPMI 1640 complete medium at a normoxia state,and cells in other groups were cultured in a RP-MI 1640 medium with 200 mmol·L-1 CoCl2 at a hypoxia state.Tubule formation was measured by Matrigel.The C57BL/6J mice were divided into the control group,CNV group,CNV+NC-sh group and CNV+HTRA3-sh group,with 12 mice in each group.Mice in the control group were unmodeled mice,and mice in the other groups were laser-induced CNV model mice.NC-shRNA and HTRA3-shRNA lentiviral vectors with a titer of 1 × 1011 TU·mL-1 were administered to mice in the CNV+NC-sh group and CNV+HTRA3-sh group via intravitreal injection.Mice in the control group and CNV group were in-jected with phosphate buffered saline.After 7 days of treatment,the mice were examined by fundus fluorescein angiogra-phy,and the eyeballs received hematoxylin & eosin staining.The mRNA levels of HTRA3,chitinase-like protein 3(Ym-1),arginase 1(Arg-1),inducible nitric oxide synthase(iNOS),cyclooxygenase-2(COX-2)and vascular endothelial growth factor(VEGF)in RF/6A cells or choroidal tissues were detected by qRT-PCR.The protein expression levels of HTRA3,VEGF and nuclear factor kappa B(NF-κB)p65 in RF/6A cells or choroidal tissues were detected by Western blot.Re-sults Compared with the normal group,serum HTRA3 mRNA level of patients in the wAMD group increased(t=11.804,P＜0.001).Compared with the control group and NC-sh group,the expressions of HTRA3 mRNA and protein in RF/6A cells in the HTRA3-sh group decreased(all P＜0.05).Compared with the N group,the number of closed lumen and the mRNA and protein expressions of HTRA3 and VEGF in RF/6A cells in the H group increased(all P＜0.05).Compared with the H+NC-sh group,the number of closed lumen and the mRNA and protein expressions of HTRA3 and VEGF decreased in RF/6A cells in the H+HTRA3-sh group(all P＜0.05).Compared with the control group,the mRNA and protein expression levels of HTRA3 increased,the relative fluorescence intensity of CNV increased,the mRNA levels of Ym-1 and Arg-1 in-creased,the iNOS and COX-2 mRNA levels decreased,and the NF-κB p65 protein expression level increased in mice of the CNV group(all P＜0.05).Compared with the CNV+NC-sh group,the mRNA and protein expression levels of HTRA3 de-creased,the relative fluorescence intensity of CNV decreased,the mRNA levels of Ym-1 and Arg-1 decreased,the mRNA levels of iNOS and COX-2 increased,and the NF-κB p65 protein expression level decreased in mice of the CNV+HTRA3-sh group(all P＜0.05).Conclusion Down-regulation of HTRA3 can inhibit the formation of CNV and the polarization of M2 macrophages.HTRA3 may be an important potential target for the prevention and treatment of wAMD.

Objective:To explore the value of predicting new-onset heart failure events in patients with hypertrophic cardiomyopathy (HCM) using clinical and cardiac magnetic resonance (CMR) features based on machine learning algorithms.Methods:The study was a retrospective cohort study. Patients with a confirmed diagnosis of HCM who underwent CMR examinations at Beijing Anzhen Hospital from May 2017 to March 2021 were selected and randomly divided into the training set and the validation set in a ratio of 7∶3. Clinical data and CMR parameters (including conventional parameters and radiomics features) were collected. The endpoint events were heart failure hospitalization and heart failure death, with follow-up ending in January 2023. Features with high stability and P value<0.05 in univariate Cox regression analysis were selected. Subsequently, three machine learning algorithms—random forest, decision tree, and XGBoost—were used to build heart failure event prediction models in the training set. The model performance was then evaluated using the independent validation set, with the performance assessed based on the concordance index. Results:A total of 462 patients were included, with a median age of 51 (39, 62) years, of whom 332 (71.9%) were male. There were 323 patients in the training set and 139 in the validation set. The median follow-up time was 42 (28, 52) months. A total of 44 patients (9.5% (44/462)) experienced endpoint events (8 cases of heart failure death and 36 cases of heart failure hospitalization), with 31 events in the training set and 13 in the validation set. Univariate Cox regression analysis identified 39 radiomic features, 4 conventional CMR parameters (left ventricular end-diastolic volume index, left ventricular end-systolic volume index, left ventricular ejection fraction, and late gadolinium enhancement ratio), and 1 clinical feature (history of non-sustained ventricular tachycardia) that could be included in the machine learning model. In the prediction models built with the training set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.966 (95% CI 0.813-0.995), 0.956 (95% CI 0.796-0.992), and 0.973 (95% CI 0.823-0.996), respectively. In the validation set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.854 (95% CI 0.557-0.964), 0.706 (95% CI 0.399-0.896), and 0.703 (95%CI 0.408-0.890), respectively. Conclusion:Integrating clinical and CMR features of HCM patients through machine learning aids in predicting heart failure events, with the random forest model showing superior performance.

This paper reports a pair of siblings with congenital short-bowel syndrome (CSBS) complicated with intestinal malrotation. Case 1 was born with a birth weight of 2 550 g and a length of 48 cm. On September 10, 2017, emergency Ladd's procedure and appendectomy were performed on the infant 23 days after birth due to intestinal obstruction at the Women and Children's Hospital, School of Medicine, Xiamen University. The small intestine of the infant had a total length of 65 cm. Postoperative enteral and parenteral nutrition supports were provided for six months. Whole exome sequencing revealed a homozygous variant (NM 024769; nucleotide deletion in the exon 3-5) in the CLMP gene (chr11:122953792-122955421), with the parents being the heterozygous carriers but without phenotype. Case 2, the younger sibling of Case 1, was born in the same hospital on March 20, 2020, with a birth weight of 2 932 g and a body length of 49 cm. Prenatal single-gene sequencing on the amniotic fluid identified the same gene variation as his sister's. The baby boy received Ladd's procedure and appendectomy on the second day after birth which found the length of his small intestine was 51 cm. Full enteral nutrition was achieved six months after the operation. Both cases were followed up for 12 months. The body weight and length of Case 1 were both below the first percentile (< P1). The body weight of Case 2 was 8.03 kg ( P3- P5) and the length was 76.0 cm ( P25- P50).

Objective To investigate the prognostic value of red cell distribution width(RDW)on neurological prognosis in patients with cardiac arrest(CA).Methods Retrospective analysis the case data,RDW and biochemical indicators of 107 CA patients treated in our department(January 2020 to November 2023).According to cerebral performance category(CPC),patients were divided into good neurological prognosis group and bad neurological prognosis group.The differences in clinical data and RDW between the two groups were compared.Multivariate Logistic regression analysis was used to investigate the risk factors on neurological prognosis.Predictive effect of RDW on poor neurological prognosis in CA patients was assessed by receiver operating characteristic(ROC)curve.According to the optimal cut-off value of RDW,it was divided into high RDW group(≥ 13.45％)and low RDW group(＜13.45％)to compare the incidence of poor neurological prognosis.Results Totally 107 CA patients were included,34 patients in the good neurological prognosis group and 73 patients in the bad neurological prognosis group,the incidence of poor prognosis of neurological function was 68.22％.Compared with good neurological prognosis group,the acute physiology and chronic health evaluation Ⅱ score,RDW,cardiopulmonary resuscitation(CPR)time,age,serum sodium and glutamic-pyruvic transaminase in bad neurological prognosis group were significantly increased(P＜0.05).Multivariate Logistic regression analysis showed that RDW,age and CPR time were independent risk factors for poor prognosis of neurological function(P＜0.05).ROC curve analysis showed that the area under the curve of RDW to predict poor neural function prognosis in CA patients was 0.766.When the optimal threshold of RDW was 13.45％,the sensitivity was 73％and the specificity was 71％.The incidence of poor prognosis of neurological function in high RDW group was 84.13％,which was significantly higher than 45.45％in low RDW group(P＜0.05).Conclusion Elevated RDW is an independent risk factor for increased risk of poor neurological outcomes in patients with CA.It has certain predictive value for neurological outcomes in patients with CA.

Objective To evaluate the value of red cell volume distribution width(RDW)in the prognosis of patients with cardiac arrest(CA).Methods Clinical data of 146 CA patients admitted to intensive care unit(ICU)of Huzhou Central Hospital from January 2018 to October 2022 were retrospectively analyzed,and the patients were divided into survival group and death group according to the prognosis during ICU stay.The clinical data of two groups were compared,and the risk factors affecting the prognosis of CA patients were analyzed by multivariate Logistic regression.Receiver operating characteristic(ROC)curve was used to evaluate the predictive efficacy of RDW in CA patients.The survival curve was plotted by Kaplan-Meier method.Results A total of 146 CA patients were included in the analysis,among which 49 patients survived and 97 patients died,the mortality rate of CA patients in ICU was 66.44%.The scores of acute physiology and chronic health evaluation Ⅱ,RDW,blood sodium and alanine aminotransferase in death group were significantly higher than those in survival group,the time of cardiopulmonary resuscitation was significantly longer than that in survival group,and the length of ICU stay was significantly shorter than that in survival group(P<0.05).Multivariate Logistic regression analysis showed that RDW and time of cardiopulmonary resuscitation were independent risk factors for predicting death during ICU stay in CA patients(P<0.05).ROC curve results showed that RDW predicted death in CA patients with the area under curve of 0.742,the best cut-off value was 13.95%,the sensitivity was 59.8%,and the specificity was 85.7%.Patients with low RDW had significantly higher one-year cumulative survival rate than those with high RDW(χ2=18.757,P<0.001).Conclusion RDW was an independent risk factor for predicting death during ICU stay in CA patients.