Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

[Objective] To analyse and predict the tendencies of using erythrocyte blood in Changsha based on the autoregressive integrated moving average (ARIMA) model, long short-term memory (LSTM) and ARIMA-LSTM combination model, so as to provide reliable basis for designing a feasible and effective blood inventory management strategy. [Methods] The data of erythrocyte usage from hospitals in Changsha between January 2012 and December 2023 were collected, and ARIMA model, LSTM model and ARIMA-LSTM combination model were established. The actual erythrocyte consumption from January to May 2024 were used to assess and verify the prediction effect of the models. The extrapolation prediction accuracy of the models were tested using two evaluation indicators: mean absolute percentage error (MAPE) and root mean square error (RMSE), and then the prediction performance of the model was compared. [Results] The RMSE of LSTM model, optimal model ARIMA(1,1,1)(1,1,1)12 and ARIMA-LSTM combination model were respectively 5 206.66, 3 096.43 and 2 745.75, and the MAPE were 18.78%,11.54% and 9.76% respectively, which indicated that the ARIMA-LSTM combination model was more accurate than the ARIMA model and LSTM model, and the prediction results was basically consistent with the actual situation. [Conclusion] The ARIMA-LSTM model can better predict the clinical erythrocyte consumption in Changsha in the short term.

ObjectiveMicrotube associated protein-2 （MAP-2）， alpha-tubulin （α-tubulin）， and synaptophysin （SYP） are important proteins in neuronal signal communication. This paper observed the effects of modified Zhigancao Tang on the expression of serum α-Synuclein （α-Syn） and its oligomers， MAP-2， α-tubulin， and SYP of patients with liver and kidney deficiency of Parkinson's disease （PD）， analyzed their correlation， and evaluated the therapeutic effect of modified Zhigancao Tang in patients with liver and kidney deficiency of PD based on α-Syn transmission pathway mediated by neuronal communication in vivo. MethodsA total of 60 patients with PD who met the inclusion criteria were randomly divided into a treatment group （30 cases） and a control group （30 cases）. Both groups were treated on the basis of PD medicine， and the treatment group was treated with modified Zhigancao Tang. Both groups were treated for 12 weeks. The changes in UPDRS score， TCM syndrome score， and expression of serum α-Syn and its oligomers， MAP-2， α-tubulin， and SYP were observed before and after 12 weeks of treatment in each group. The correlation between the above-mentioned serum biological indexes and the levels of serum α-Syn and its oligomers was analyzed. ResultsAfter treatment， the TCM syndrome score， UPDRS score， UPDRS-Ⅱ score， and UPDRS-Ⅲ score of the treatment group were significantly decreased （P<0.05， P<0.01）. The UPDRS score， UPDRS-Ⅱ score， and UPDRS-Ⅲ scores in the treatment group were significantly decreased compared with those in the control group after treatment （P<0.05）. After treatment， the total effective rate of the control group was 63.3% （19/30）， and that of the treatment group was 86.7% （26/30）. The clinical effect of the observation group was better than the control group （Z=-2.03， P<0.05）. The total effective rate of the observation group was better than that of the control group， and the difference was statistically significant （χ²=5.136， P<0.05）. After treatment， the oligomer level of serum α-Syn and MAP-2 level in the treatment group were significantly decreased （P<0.05， P<0.01）. The levels of serum α-Syn and its oligomers， as well as α-tubulin in the treatment group， were significantly decreased compared with those in the control group after treatment （P<0.05， P<0.01）. Serum α-Syn was correlated with serum MAP-2 and α-Syn oligomer in patients with PD （P<0.05， P<0.01） but not correlated with serum SYP . Serum α-Syn oligomers of patients with PD were correlated with serum MAP-2 and α-tubulin （P<0.05， P<0.01） but not correlated with serum SYP level. Serum SYP of patients with PD was correlated with serum MAP-2 （P<0.05）. ConclusionModified Zhigancao Tang has a therapeutic effect on patients with liver and kidney deficiency of PD by inhibiting the production of α-Syn oligomers and intervening α-Syn microtubule transport pathway in vivo.

OBJECTIVE To provide reference for improving the pre-prescription review system and reducing the occurrence of medication error by analyzing the drug-related problems （DRPs） in the pre-prescription review orders of pediatric outpatient clinics using the Pharmaceutical Care Network Europe （PCNE） classification system. METHODS The data of pre-prescription review orders were retrospectively collected from outpatient department of Shanghai Children’s Medical Center， Shanghai Jiao Tong University School of Medicine from July 2022 to June 2023； DRPs in the pre-prescription review orders were classified and summarized by using the PCNE classification system （version 9.1）， and then analyzed in terms of types and causes of issues， and the acceptance of interventions. RESULTS A total of 66 017 DRPs orders were included， involving 41 165 patients. The proportion of DRPs orders in children aged ≤5 years old was the highest （58.25%）， followed by children aged 6-12 years old （33.52%）； the department with the highest proportion of DRPs was internal medicine of pediatrics department （71.41%）； the department with the highest incidence of DRPs was thoracic surgery department （9.73%）； top three drug categories of DRPs orders were systemic anti- infective drugs （25.26%）， Chinese patent medicines （24.74%） and respiratory drugs （22.38%）. Referring to PCNE classification system， the types of DRPs mainly focused on treatment safety （64.86%）； the reasons of DRPs orders mainly focused on dose selection （82.09%）， of which 41.26% were due to excessive drug dosage； 92.13% of interventions could be accepted and fully executed by doctors. CONCLUSIONS DRPs orders identified by the pre-prescription review system can be effectively analyzed by using PCNE classification system. Pharmacists should focus on medication use in children aged ≤5 years old， update and develop personalized prescription review rules timely， and meet the rational needs of clinical medication for children.

Five saponins were isolated from the kernels of Momordica cochinchinensis, by macroporous resin, silica gel, ODS column chromatography, and semi preparative HPLC. Based on MS and NMR analysis, combining with alkaline hydrolysis and acid hydrolysis, their structures were identified as: gypsogenin-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (1), quillaic acid-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (2), gypsogenin-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (3), quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (4), 18α-quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside (5). Compounds 1-5 were new compounds, and named as mubezhisides A, B, C, D, E, respectively. They all could obviously inhibited the growth of Candida albicans, C. parapsilosis, and C. tropicalis.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Objective To investigate the predictive value of cardiac magnetic resonance(CMR)late gadolinium enhancement(LGE)on the long-term risk of sudden cardiac death(SCD)in hypertrophic cardiomyopathy(HCM).Methods A total of 81 patients with HCM who received CMR-LGE in our hospital from October 2013 to June 2020 were selected as the study subjects,the basic data,5-year HCM-SCD risk score and LGE values of all patients,and the incidence of SCD were counted.Pearson correlation analysis was used to analyze the correlation of LGE values and 5-year HCM-SCD risk score in patients with HCM,and ROC curves was drawn to calculate the predictive efficacy of LGE values on the occurrence of SCD in patients with HCM.Results The LGE values of patients with HCM increased significantly with the 5-year HCM-SCD risk score increasing(P<0.01);Pearson correlation analysis showed that the LGE values of patients with HCM was positively correlated with 5-year HCM-SCD risk score(r=0.704,P<0.01);The ROC curve analysis revealed that the AUC of LGE values of patients with HCM predicting the risk of SCD in patients with HCM was 0.892,meanwhile,the LGE≥5.47 was the optimal threshold,with diagnostic sensitivity of 100%,and the specificity of 66.67%;The results of the Kaplan-Meier survival analysis showed that the survival rate of the LEG≥5.47 group was significantly lower than that of the LGE<5.47 group(P<0.01).Conclusion The LGE value of patients with HCM can effectively predict the risk of SCD.When the LGE value of HCM patients is≥5.47%,implantable cardioverter defibrillator should be considered for primary prevention in advance to improve the risk stratification of SCD in HCM patients.

Objective To investigate the regulatory effect of swimming exercise(SE)on lipid metabolism in nonalcoholic fatty liver disease(NAFLD)mice.Methods A total of 27 C57BL/6J mice were divided into the control group(normal diet),high fat diet(HFD)group and HFD+SE group,with 9 mice in each group.Twelve weeks later,liver tissues were collected for untargeted lipidomics detection by LC-MS.Dimensional statistical analysis of lipidomics profiles was carried out by constructing OPLS-DA model,and combined with the t-test,the lipids with OPLS-DA VIP>1,P<0.05 were screened out from all samples as significantly different lipids.Results There were 81 different lipids between HFD group and the control group;and there were 27 different lipids between HFD+SE group and HFD group.The different lipids mainly belong to glycerides,glycerophospholipids and sphingomyelins.Conclusion Lipid metabolism profile of NAFLD mice has been changed,and swimming exercise can improve lipid metabolism of NAFLD mice.

AIM:To study the mechanism of Sihei-fang(SHF)in improving pigment deficiency disease(PD)by combining network pharmacology and me-tabolomics.METHODS:Using zebrafish embryos with pigment deficiency disease induced by 1-phe-nyl-2-thiourea(PTU)as an animal model,the ef-fects of SHF extract(0.01,0.02,0.04 mg/mL)on the morphology,melanin area,tyrosinase activity,and melanin content of zebrafish embryos were an-alyzed.Ultra high performance liquid chromatogra-phy-mass spectrometry(UHPLC-MS)was used to screen differential metabolites and obtain relevant metabolic pathways in the SHF treatment of mela-nin deficient zebrafish embryos model.Network pharmacology was used to obtain key targets for SHF treatment of PD and conduct KEGG pathway enrichment analysis.Import The identified differen-tial metabolites and SHF PD intersection targets were imported into the Metscape plugin,to estab-lish a"metabolite reaction enzyme gene"network,and search for key metabolites,targets,and meta-bolic pathways.RESULTS:SHF treatment could in-crease the formation of zebrafish melanin,activate tyrosinase activity,and increase melanin content.Metabolomics analysis obtained 54 differential me-tabolites,and metabolic pathway analysis was con-ducted on these metabolites,involving the biosyn-thesis of phenylalanine,tyrosine,and tryptophan,glycerol phospholipid metabolism,tyrosine metab-olism,linoleic acid metabolism,and aminoacyl tRNA biosynthesis pathways.Network pharmacolo-gy had obtained 55 cross targets of components and diseases.KEGG involved pancreatic cancer,TNF,cancer and other signal pathways.The joint analysis of metabolomics and network pharmacolo-gy identified four key targets:COMT,CYP1B1,TYR,and ALDH2;three key metabolites:L-tyrosine,ho-movanllate,L-lysine;three important metabolic pathways:tyrosine metabolism,valine/leucine/iso-leucine degradation,and lysine metabolism.CON-CLUSION:SHF has a good improvement effect on PD,and combined with metabolomics and network pharmacology,SHF may enhance its influence on the tyrosine metabolism pathway by regulating the metabolite L-tyrosine,thereby promoting the for-mation of melanin.