As a normal physiological substance,D-galactose can induce a process similar to natural brain aging in vivo and in vitro when administered excessively,and thus it is widely used to induce brain aging models in China and abroad.The model of brain failure induced by D-galactose has the advantages of a short modeling time,low cost,and significant effect.However,the induction mechanisms are complex and diverse,and the relationships between the mechanisms are unclear,which limit the practical applications of the model.This article reviews the in vivo metabolism of D-galactose and the various mechanisms involved in the induction of brain aging,as well as the links between the mechanisms,to provide a reference for the application and development of this model and the in-depth study of brain aging.

Objective To evaluate the effect of Internet-based psychosocial intervention for primary caregivers of patients with terminal stage cancer.Methods The relevant randomized controlled trials of Internet-based psychosocial intervention for primary caregivers of patients with terminal stage cancer were systematically searched from 10 databases,such as Chinese Biomedical Literature Database,CNKI,PubMed,Embase and CINAHL and etc.The search period was from the establishment to December 18,2023,and 2 investigators screened the literature according to inclusion and exclusion criteria and extracted data.Cochrane Manual 5.1.0 was used to assess the quality of the literature.Meta-analysis was performed using Revman 5.4 software.Results A total of 9 pieces of the literature including 592 primary caregivers were included.Meta-analysis showed that Internet-based psychosocial intervention reduced the level of anxiety and depression for primary caregivers of patients with terminal stage cancer[MD=-1.64,95％CI(-2.68,-0.59),P=0.002]and the burden of care[SMD=-0.39,95％CI(-0.60,-0.18),P＜0.001],and improved quality of life[SMD=0.25,95％CI(0.01,0.48),P=0.040];further research is needed to explore the effect of reducing the level of distress[MD=-0.88,95％CI(-1.91,0.16),P=0.100].Conclusion The Internet-based psychosocial intervention is effective in improving the anxiety,depression and the burden of care of the primary caregivers of patients with terminal stage cancer,and it can improve the quality of life;further research is needed to explore the level of distress reduction.

Objective:To investigate the metabolomic characteristics of amniotic fluid in pregnant women with fetal growth restriction (FGR) by targeted metabolomics, identify differential metabolites with biomarker potential, analyze metabolic pathways, and provide metabolic clues for the study of FGR pathogenesis.Methods:From June 2020 to November 2023, amniotic fluid samples were prospectively collected from 19 FGR fetuses (FGR group) and 30 normal-weight fetuses (control group) at the Affiliated Guangdong Second Provincial General Hospital of Jinan University. Targeted metabolomic analysis of amniotic fluid samples (taken at 16-32 gestational weeks) was performed using liquid chromatography- tandem mass spectrometry. Cluster analysis and multivariate statistical analysis were used to analyze the differences in metabolic profiles between the FGR and control groups. Metabolic pathway enrichment analysis was conducted using metabolomics databases, and potential biomarkers were identified using receiver operating characteristic (ROC) curve analysis.Results:A total of 16 differential metabolites were identified between the FGR and control groups, including gallic acid, 6-hydroxy-nicotinic-acid, 2-methyl-valeric-acid, undecanoic acid, trimethylamine, γ-linolenic acid, decanoylcarnitine, α-linolenic acid, 4-ethyl-caprylic-acid, oleic acid, O-hexyl carnitine, L-theanine,turanose, 4-hydrocinnamic acid, L-aspartic acid, and 3-methyl-valeric-acid. These metabolites were involved in metabolic pathways such as unsaturated fatty acid biosynthesis, niacin and nicotinamide metabolism, carbon metabolism, and fatty acid biosynthesis. ROC curve analysis of the 16 differential metabolites revealed that nine had an area under the ROC curve (AUC)>0.7, including oleic acid (AUC= 0.851, 95% CI: 0.737-0.965), α-linolenic acid (AUC=0.798, 95% CI: 0.664-0.933), 4-hydrocinnamic acid (AUC=0.756, 95% CI: 0.619-0.895), L-aspartic acid (AUC=0.747, 95% CI: 0.595-0.900), 4-ethyl-caprylic- acid (AUC=0.746, 95% CI: 0.610-0.881), O-hexyl carnitine (AUC=0.746, 95% CI: 0.610-0.881), decanoylcarnitine (AUC=0.735, 95% CI: 0.589-0.881), turanose (AUC=0.735, 95% CI: 0.589-0.882), and 2-methyl-valeric-acid (AUC=0.725, 95% CI: 0.577-0.872), indicating their potential as biomarkers. Conclusions:FGR fetuses exhibit significant differences in metabolites, involving fatty acids and amino acids related to hypoxic stress and inflammatory responses. Oleic acid and other metabolites can serve as potential biomarkers related to the growth and development of FGR fetuses.