Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

The main active compound, 3,4-dihydroxyacetophenone(3,4-DHAP), in the leaves of Ilex pubescens var. glaber, exhibits various pharmacological activities, including vasodilation and heart protection. Currently, natural extraction and chemical synthesis are the primary methods for obtaining 3,4-DHAP, but both approaches have inherent challenges. To address these problems, this study explored the whole-cell bioconversion of 1-(4-hydroxyphenol)-ethanol to 3,4-DHAP using recombinant Escherichia coli, cultivated in a green, cost-effective medium at room temperature and atmospheric pressure. Firstly, this study successfully constructed recombinant E. coli S1, which contained only the HpaBC gene, and recombinant E. coli S3, which contained both the Hped and HpaBC genes. The ability of S1 and S3 to synthesize 3,4-DHAP from their respective substrates was then evaluated through whole-cell bioconversion. Based on these results, the effects of four factors, i.e., substrate concentration, IPTG concentration, induction temperature, and transformation temperature, on the whole-cell bioconversion yield of S3 were investigated using an orthogonal experiment. The results showed that the factors influenced the yield in the following order: transformation temperature > induction temperature > IPTG concentration > substrate concentration. The optimal conditions were found to be a transformation temperature of 35 ℃, IPTG concentration of 0.1 mmol·L~(-1), induction temperature of 25 ℃, and substrate concentration of 10 mmol·L~(-1). Finally, the effect of transformation time on the yield of 3,4-DHAP was further examined under the optimal conditions. The results indicated that as the transformation time increased, the yield of 3,4-DHAP steadily increased. The highest yield of 260 mg·L~(-1) with a productivity of 17% was achieved after 72 hours of transformation. In conclusion, this study successfully achieved the whole-cell bioconversion of 1-(4-hydroxyphenol)-ethanol to 3,4-DHAP using recombinant E. coli for the first time, laying the groundwork for further optimization and development of the biosynthesis of 3,4-DHAP.
Escherichia coli/genetics* ; Acetophenones/chemistry* ; Ethanol/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Biotransformation

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

This study was aimed at understanding the etiological and genetic characteristics of Yersinia enterocolica isolated in Jiangsu Province between 2005 and 2019.All 110 identified strains of Y.enterocolica were from patients with foodborne diar-rhea in Jiangsu Province,or from pigs,dogs,cattle,sheep,poultry,flies,or food.Virulence genes,biological serotypes,drug resistance,multilocus sequence typing(MLST),and core genome multilocus sequence typing(cgMLST)based on whole-genome sequencing were performed.The strains included 27 pathogenic strains(24.5％)and 83 non-pathogenic strains(75.5％).Non-pathogenic strains accounted for a high proportion,particularly among strains from patients(15/16,93.8％).The biological serotypes of pathogenic strains were mainly type 3/O∶3(26/27,96.3％).Non-pathogenic strains included 1A/O∶8 type(23/83,27.7％),1 A/O∶5 type(14/83,16.9％),and the other four biological serotypes(excluding unknown se-rotypes).Pathogenic strains were dominated by type 3/O∶3(26/27,96.3％),and more than 80％of these strains were sensi-tive to 19 antibiotic types.Whole-genome sequencing indicated that the pathogenic strains were all ST135 type,whereas the non-pathogenic strains were more diverse and scattered.HierCC clustering analysis grouped all strains into three clus-ters:pathogenic strains were in one cluster,and strains from patients were found in all three clusters.In conclusion,the Y.enterocolica strains from patients were primarily non-patho-genic.Non-pathogenic strains showed richer epigenetic and ge-netic diversity than pathogenic strains.The monitoring of these strains should be strengthened to decrease the risk of human infection.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

AIM To study the chemical constituents from the root tubers of Stephania kwangsiensis H.S.Lo and their tyrosinase inhibition and insecticidal activities.METHODS The 70％ ethanol extract from root tubers of S.kwangsiensis was isolated and purified by Sephadex LH-20,MCI,ODS,semi-prepative HPLC and HSCCC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The tyrosinase inhibitory activities were determined by using levodopa as substrate,and the insecticidal activities were evaluated by the control effect of Diaphorina citri.RESULTS Twelve compounds were isolated and identified as tetrahydropalmatine ( 1 ),dehydrocrebanine ( 2 ),crebanine ( 3 ),stephanine ( 4 ),liriodenine ( 5 ),piperumbellactam A ( 6 ),sinoacutine ( 7 ),(+)-salutaridine N-oxide ( 8 ),bisnorargemonine ( 9 ),(+)-corytuberine (10),sebiferine (11) and palmatrubine (12).The IC50 values of compounds 5-7 to tyrosinase were (0.1702±0.0101),(0.7663±0.0331) and (0.5193±0.0075) mg/mL,respectively.The control effects of compounds 2-5,7,8,10-12 against D.citri ranged from ( 19.33±0.57 )％ to ( 77.15±0.45 )％.CONCLUSION Compounds 2,5,6,and 8-12 are isolated from this plant for the first time,6 and 9 are first obtained from genus Stephania.Compounds 5-7 displayed significant tyrosinase inhibition activities.Compounds 7,8 and 10 show strong insecticidal activities.

This study was aimed at understanding the etiological and genetic characteristics of Yersinia enterocolica isolated in Jiangsu Province between 2005 and 2019.All 110 identified strains of Y.enterocolica were from patients with foodborne diar-rhea in Jiangsu Province,or from pigs,dogs,cattle,sheep,poultry,flies,or food.Virulence genes,biological serotypes,drug resistance,multilocus sequence typing(MLST),and core genome multilocus sequence typing(cgMLST)based on whole-genome sequencing were performed.The strains included 27 pathogenic strains(24.5％)and 83 non-pathogenic strains(75.5％).Non-pathogenic strains accounted for a high proportion,particularly among strains from patients(15/16,93.8％).The biological serotypes of pathogenic strains were mainly type 3/O∶3(26/27,96.3％).Non-pathogenic strains included 1A/O∶8 type(23/83,27.7％),1 A/O∶5 type(14/83,16.9％),and the other four biological serotypes(excluding unknown se-rotypes).Pathogenic strains were dominated by type 3/O∶3(26/27,96.3％),and more than 80％of these strains were sensi-tive to 19 antibiotic types.Whole-genome sequencing indicated that the pathogenic strains were all ST135 type,whereas the non-pathogenic strains were more diverse and scattered.HierCC clustering analysis grouped all strains into three clus-ters:pathogenic strains were in one cluster,and strains from patients were found in all three clusters.In conclusion,the Y.enterocolica strains from patients were primarily non-patho-genic.Non-pathogenic strains showed richer epigenetic and ge-netic diversity than pathogenic strains.The monitoring of these strains should be strengthened to decrease the risk of human infection.

AIM To study the chemical constituents from the root tubers of Stephania kwangsiensis H.S.Lo and their tyrosinase inhibition and insecticidal activities.METHODS The 70％ ethanol extract from root tubers of S.kwangsiensis was isolated and purified by Sephadex LH-20,MCI,ODS,semi-prepative HPLC and HSCCC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The tyrosinase inhibitory activities were determined by using levodopa as substrate,and the insecticidal activities were evaluated by the control effect of Diaphorina citri.RESULTS Twelve compounds were isolated and identified as tetrahydropalmatine ( 1 ),dehydrocrebanine ( 2 ),crebanine ( 3 ),stephanine ( 4 ),liriodenine ( 5 ),piperumbellactam A ( 6 ),sinoacutine ( 7 ),(+)-salutaridine N-oxide ( 8 ),bisnorargemonine ( 9 ),(+)-corytuberine (10),sebiferine (11) and palmatrubine (12).The IC50 values of compounds 5-7 to tyrosinase were (0.1702±0.0101),(0.7663±0.0331) and (0.5193±0.0075) mg/mL,respectively.The control effects of compounds 2-5,7,8,10-12 against D.citri ranged from ( 19.33±0.57 )％ to ( 77.15±0.45 )％.CONCLUSION Compounds 2,5,6,and 8-12 are isolated from this plant for the first time,6 and 9 are first obtained from genus Stephania.Compounds 5-7 displayed significant tyrosinase inhibition activities.Compounds 7,8 and 10 show strong insecticidal activities.