Objective:To investigate the potential mechanism of cellular senescence-related mitochondrial autophagy genes in diabetic retinopathy (DR).Methods:The DR gene datasets GSE53257 and GSE60436 from the GEO database and screened the differentially expressed genes (DEG) were downloaded. Cellular senescence-related genes and mitochondrial autophagy-related genes from the GeneCards database, and the intersection of the two to obtain the DR-related differentially expressed genes (CSRMRDEG) were collected. The obtained CSRMRDEG was subjected to Gene Ontology (GO) functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis, protein-protein interaction network (PPI) analysis, and hub gene identification using Maximal Clique Centrality (MCC), Degree, Maximum Neighborhood Component (MNC)、Edge Percolated Component (EPC) and Closeness algorithms. Gene Set Enrichment Analysis (GSEA) was conducted to obtain the enriched pathways of DEG, and ssGSEA immune infiltration analysis was performed to screen the correlation between immune cells and DR. The diagnostic efficacy of hub genes for DR was evaluated by drawing the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Meanwhile, the Wilcoxon rank sum test was used to compare the differences in the infiltration level of immune cells between the DR Group and the control group.Results:23 DR-related CSRMRDEG were obtained. GO analysis showed that they were mainly enriched in the pathways of dicarboxylic acid, biosynthetic process of folate-containing compounds, tetrahydrofolate conversion, mitochondrial matrix, mitochondrial endomembrane, structural components of ribosomes, and glutamate transmembrane transporter protein activity. The results of KEGG pathway enrichment analysis showed that CSRMRDEG was highly enriched in pathways such as the folate carbon pool, biosynthesis of cofactors, and pyruvate metabolism. The PPI analysis results show that there are 16 related CSRMRDEG. Five algorithms (MCC, Degree, MNC, EPC, Closeness) obtained the nine Hub genes. The results of ROC curve analysis showed that the AUC of the expression levels of 9 hub genes for diagnosing DR ranged from 0.7-0.9. The ssGSEA results showed that there were statistically significant differences in Wilcoxon of central memory CD4 + T cells, macrophages, natural killer cells, and helper T cell 1 between the DR group and the control group ( Z=-2.85, -2.23, -2.10, -2.52; P<0.05). Conclusion:Mitochondrial autophagy genes related to cellular senescence are potential diagnostic targets for DR.

Sigma-1 receptor (σ ₁R) has become a focus point of drug discovery for central nervous system (CNS) diseases. A series of novel 1-phenylethan-1-one O-(2-aminoethyl) oxime derivatives were synthesized. In vitro biological evaluation led to the identification of 1a, 14a, 15d and 16d as the most high-affinity (K _i < 4 nmol/L) and selective σ ₁R agonists. Among these, 15d, the most metabolically stable derivative exhibited high selectivity for σ ₁R in relation to σ ₂R and 52 other human targets. In addition to low CYP450 inhibition and induction, 15d also exhibited high brain permeability and excellent oral bioavailability. Importantly, 15d demonstrated effective antipsychotic potency, particularly for alleviating negative symptoms and improving cognitive impairment in experimental animal models, both of which are major challenges for schizophrenia treatment. Moreover, 15d produced no significant extrapyramidal symptoms, exhibiting superior pharmacological profiles in relation to current antipsychotic drugs. Mechanistically, 15d inhibited GSK3β and enhanced prefrontal BDNF expression and excitatory synaptic transmission in pyramidal neurons. Collectively, these in vivo proof-of-concept findings provide substantial experimental evidence to demonstrate that modulating σ ₁R represents a potential new therapeutic approach for schizophrenia. The novel chemical entity along with its favorable drug-like and pharmacological profile of 15d renders it a promising candidate for treating schizophrenia.

Objective To investigate the relationship between daily intake of monounsaturated fatty acids(MUFAs)and polyunsaturated fatty acids(PUFAs)and non-alcoholic fatty liver disease(NAFLD),and to determine the threshold values of daily MUFAs and PUFAs intake for NAFLD risk.Methods Date were collected from the Dryad database.We enrolled a total of 1 068 healthy subjects aged 18 years and older(534 in the control group and 534 with NAFLD group)who had physical check-up in the Affiliated Nanping First Hospital of Fujian Medical University from April 2015 to August 2017.Comprehensive medical histories were obtained through questionnaires;information on dietary intake was collected using a semi-quantitative food frequency questionnaire and daily MUFAs and PUFAs intake were calculated.Baseline characteristics were compared between the two groups,and Logistic regression and restricted cubic spline(RCS)analyses were used to explore the relationship between daily MUFAs or PUFAs intake and NAFLD.Results Compared with the control group,the prevalence of hypertension,tea drinking,body mass index(BMI),daily energy intake,and daily MUFAs and PUFAs intakes were significant higher in patients with NAFLD(all P＜0.05),but the proportion of physical activities was significantly lower(P＜0.05).Logistic regression analysis revealed that after adjusting other confounding factors such as age,gender and BMI,for every 10 g increase in daily MUFAs or PUFAs intake,the risk of NAFLD increased by 53％(95％ CI:1.25-1.87,P＜0.001)and 3.30 times(95％ CI:2.98-6.20,P＜0.001),respectively.RCS indicated an approximately linear relationship between daily MUFAs intake and NAFLD(P for nonlinearity=0.064)and a nonlinear relationship between daily PUFAs intake and NAFLD(P for nonlinearity＜0.05).Subgroup analysis results were generally consistent,and there was statistical evidence of interactions between MUFAs and factors such as gender,hypertension and education level,with interaction between PUFAs and BMI observed(P＜0.05).Conclusion Increased daily intake of MUFAs or PUFAs is significantly associated with an increased risk of NAFLD,and further research is needed to clarify their specific roles in hepatic lipid accumulation.

Objective To investigate the relationship between daily intake of monounsaturated fatty acids(MUFAs)and polyunsaturated fatty acids(PUFAs)and non-alcoholic fatty liver disease(NAFLD),and to determine the threshold values of daily MUFAs and PUFAs intake for NAFLD risk.Methods Date were collected from the Dryad database.We enrolled a total of 1 068 healthy subjects aged 18 years and older(534 in the control group and 534 with NAFLD group)who had physical check-up in the Affiliated Nanping First Hospital of Fujian Medical University from April 2015 to August 2017.Comprehensive medical histories were obtained through questionnaires;information on dietary intake was collected using a semi-quantitative food frequency questionnaire and daily MUFAs and PUFAs intake were calculated.Baseline characteristics were compared between the two groups,and Logistic regression and restricted cubic spline(RCS)analyses were used to explore the relationship between daily MUFAs or PUFAs intake and NAFLD.Results Compared with the control group,the prevalence of hypertension,tea drinking,body mass index(BMI),daily energy intake,and daily MUFAs and PUFAs intakes were significant higher in patients with NAFLD(all P＜0.05),but the proportion of physical activities was significantly lower(P＜0.05).Logistic regression analysis revealed that after adjusting other confounding factors such as age,gender and BMI,for every 10 g increase in daily MUFAs or PUFAs intake,the risk of NAFLD increased by 53％(95％ CI:1.25-1.87,P＜0.001)and 3.30 times(95％ CI:2.98-6.20,P＜0.001),respectively.RCS indicated an approximately linear relationship between daily MUFAs intake and NAFLD(P for nonlinearity=0.064)and a nonlinear relationship between daily PUFAs intake and NAFLD(P for nonlinearity＜0.05).Subgroup analysis results were generally consistent,and there was statistical evidence of interactions between MUFAs and factors such as gender,hypertension and education level,with interaction between PUFAs and BMI observed(P＜0.05).Conclusion Increased daily intake of MUFAs or PUFAs is significantly associated with an increased risk of NAFLD,and further research is needed to clarify their specific roles in hepatic lipid accumulation.

Objective:To investigate the potential mechanism of cellular senescence-related mitochondrial autophagy genes in diabetic retinopathy (DR).Methods:The DR gene datasets GSE53257 and GSE60436 from the GEO database and screened the differentially expressed genes (DEG) were downloaded. Cellular senescence-related genes and mitochondrial autophagy-related genes from the GeneCards database, and the intersection of the two to obtain the DR-related differentially expressed genes (CSRMRDEG) were collected. The obtained CSRMRDEG was subjected to Gene Ontology (GO) functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis, protein-protein interaction network (PPI) analysis, and hub gene identification using Maximal Clique Centrality (MCC), Degree, Maximum Neighborhood Component (MNC)、Edge Percolated Component (EPC) and Closeness algorithms. Gene Set Enrichment Analysis (GSEA) was conducted to obtain the enriched pathways of DEG, and ssGSEA immune infiltration analysis was performed to screen the correlation between immune cells and DR. The diagnostic efficacy of hub genes for DR was evaluated by drawing the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Meanwhile, the Wilcoxon rank sum test was used to compare the differences in the infiltration level of immune cells between the DR Group and the control group.Results:23 DR-related CSRMRDEG were obtained. GO analysis showed that they were mainly enriched in the pathways of dicarboxylic acid, biosynthetic process of folate-containing compounds, tetrahydrofolate conversion, mitochondrial matrix, mitochondrial endomembrane, structural components of ribosomes, and glutamate transmembrane transporter protein activity. The results of KEGG pathway enrichment analysis showed that CSRMRDEG was highly enriched in pathways such as the folate carbon pool, biosynthesis of cofactors, and pyruvate metabolism. The PPI analysis results show that there are 16 related CSRMRDEG. Five algorithms (MCC, Degree, MNC, EPC, Closeness) obtained the nine Hub genes. The results of ROC curve analysis showed that the AUC of the expression levels of 9 hub genes for diagnosing DR ranged from 0.7-0.9. The ssGSEA results showed that there were statistically significant differences in Wilcoxon of central memory CD4 + T cells, macrophages, natural killer cells, and helper T cell 1 between the DR group and the control group ( Z=-2.85, -2.23, -2.10, -2.52; P<0.05). Conclusion:Mitochondrial autophagy genes related to cellular senescence are potential diagnostic targets for DR.

Background Obsessive-compulsive personality disorder and obsessive-compulsive disorder(OCD)are common psychological disorders with similar clinical symptoms,but the differences between the two need further clarification.Objective To explore the clinical features of and influencing factors of obsessive-compulsive personality disorder in patients with OCD,so as to provide references for further relevant clinical diagnosis and treatment.Methods A total of 195 patients with OCD were selected as the research subjects,who received treatment at the outpatient and inpatient departments of the Affiliated Brain Hospital of Nanjing Medical University from July 2022 to December 2023 and met the diagnostic criteria for OCD in the International Classification of Diseases,tenth edition(ICD-10).Evaluation was conducted by using the Yale-Brown Obsessive Compulsive Scale(Y-BOCS),Personality Diagnostic Questionnaire-4+(PDQ-4+),Obsessive-Compulsive Inventory-Revised(OCI-R),Beck Depression Inventory(BDI),Beck Anxiety Inventory(BAI)and Sheehan Disability Scale(SDS).In accordance with the score of Obsessive-Compulsive Personality Disorder Scale in PDQ-4+,patients were divided into the OCD group with obsessive-compulsive personality disorder(n=58)and the OCD group without obsessive-compulsive personality disorder(n=137).Pearson correlation analysis and Spearman correlation analysis were adopted to examine the correlation between clinical features and the score of the Obsessive-Compulsive Personality Disorder Scale.Multiple linear regression analysis was used to explore the influencing factors of OCD patients with obsessive-compulsive personality disorder.Results Statistically significant differences were observed between OCD patients with and without obsessive-compulsive personality disorder in the age,family history of mental illness,time without treatment,hoarding and ranking dimension scores in OCI-R,OCI-R total score,score of Obsessive-Compulsive Personality Disorder Scale in PDQ-4,and BDI score(P≤0.05).OCD patients with obsessive-compulsive personality disorder in the time without treatment,OCI-R total score,hoarding and ranking dimension scores in OCI-R and BDI score are all positively correlated with the score of the Obsessive-Compulsive Personality Disorder Scale(r=0.120,0.526,0.364,0.492,0.414,P<0.05).The results of multiple linear regression analysis showed that time without treatment(β=0.132,P<0.05),hoarding dimension score(β=0.283,P<0.05)and ranking dimension score in OCI-R(β=0.418,P<0.05)were the influencing factors of OCD patients with obsessive-compulsive personality disorder.Conclusion OCD patients with obsessive-compulsive personality disorder may have longer untreated periods,more pronounced functional impairments in hoarding and sorting and more severe depressive symptoms.Untreated time,hoarding symptoms and sorting symptoms may be influencing factors for OCD patients with obsessive-compulsive personality disorder.

Integrating evidence from animal experiments is a critical component of biomedical research, providing essential prior information for in-depth investigations of disease mechanisms and new drug development. Animal models have played an irreplaceable role in simulating human diseases. However, the integration of evidence from animal experiments has faced numerous challenges, including insufficient emphasis, significant heterogeneity in study designs, high publication bias, and discrepancies with clinical research practices. This paper first identifies existing issues in the original research evidence from animal experiments, such as the selection and applicability of animal models, considerations in the design of experimental studies, and factors influencing the translation of animal experimental evidence. It then discusses various methods for integrating this evidence, including systematic review and meta-analysis, overview of systematic review/umbrella review, scoping review, and evidence mapping, while highlighting recent advancements in their application. Finally, the paper addresses the main challenges currently encountered in the integration of evidence from animal experiments and proposes targeted improvement strategies aimed at enhancing the efficiency of translating research outcomes into clinical practice and promoting the advancement of evidence-based medicine. By continuously optimizing original experimental research protocols and evidence integration practices, this work aims to establish a more efficient and scientific environment for the synthesis of evidence from animal experiments, ultimately contributing to clinical trials and human health.

Background The senescence of alveolar type II epithelial cells is an important driving factor for the progression of silicotic fibrosis, and the regulatory effects of oxamate on the senescence of alveolar type II epithelial cells is still unclear. Objective To explore whether lactate dehydrogenase inhibitor oxamate can alleviate silicotic fibrosis in mice by inhibiting senescence of alveolar type II epithelial cellsMethods This study was divided into two parts: in vivo experiments and in vitro experiments. In the first part, forty SPF C57BL/6J male mice were randomly divided into four groups with 10 in each group: control group, silicosis model group, low-dose oxamate treatment group, and high-dose oxamate treatment group. The silicotic mouse model was established by intratracheal instillation of 50 μL SiO₂ suspension (100 mg·mL⁻¹). The treatment models were prepared by intraperitoneal injection of 100 μL oxamate (225 mmol·L⁻¹ and 1125 mmol·L⁻¹). In the second part, induction of MLE-12 mouse alveolar type II epithelial cells was conducted with SiO₂. The in vitro experimental groups were ① SiO₂ induction groups: control group, 50 μg·mL⁻¹ SiO₂ group, 100 μg·mL⁻¹ SiO₂ group, and 200 μg·mL⁻¹ SiO₂ group, and ② oxamate treatment groups: control group, SiO₂ group (100 μg·mL⁻¹), low-dose oxamate (25 mmol·L⁻¹) treatment group, and high-dose oxamate (50 mmol·L⁻¹) treatment group. Pathological morphology of lung tissues was evaluated after hematoxylin-eosin (HE) staining; deposition of collagen in lung tissues was evaluated after sirius red staining; positive co-expression of prosurfactant protein C (Pro-SPC) and β-galactosidase was detected by immunofluorescence staining; positive expression of β-galactosidase in MLE-12 cells was detected by immunofluorescence staining. The protein expression levels of collagen type I (CoL I), fibronectin1 (FN1), hexokinase 2 (HK2), pyruvate kinase isozyme type M2 (PKM2), lactate dehydrogenase A (LDHA), p-ataxia telangiectasia and Rad3-related kinase (ATR), and cyclin-dependent kinase inhibitors p21, and p16 were detected by Western blotting. Results Compared with the control group, the protein expression levels of HK2, PKM2, LDHA, p-ATR, p21, and p16 were significantly upregulated in the silicosis model group and the SiO₂-induced MLE-12 cells (P＜0.05). The in vivo studies showed that, compared with the control group, the silicon nodule area, the collagen deposition area, the proportion of β-galactosidase positive cells, and the protein expression levels of CoL I, FN1, LDHA, p-ATR, p21, and p16 were significantly upregulated in the silicosis model group (P＜0.05). Compared with the silicosis model group, the oxamate treatment groups showed significant downregulation of the silicon nodule area, the collagen deposition area, the proportion of β-galactosidase positive cells, and the the CoL I, FN1, LDHA, p-ATR, p21, and p16 protein expression levels, and the high-dose oxamate treatment group showed a higher efficacy on these indicators than the low-dose oxamate treatment group (P＜0.05). The in vitro studies showed that, compared with the control group, the proportion of β-galactosidase positive cells and the protein expression levels of p-ATR, p21, and p16 were significantly upregulated in the SiO₂-induced group (P＜0.05). Compared with the SiO₂ group, the proportion of β-galactosidase positive cells and the LDHA, p-ATR, p21 and p16 protein expression levels were significantly downregulated in the oxamate treatment groups, and the high-dose oxamate treatment group showed a higher efficacy on these indicators than the low-dose oxamate treatment group (P＜0.05). Conclusion Lactate dehydrogenase inhibitor oxamate can alleviate silicotic fibrosis in mice by inhibiting the senescence of alveolar type II epithelial cells.

Objective:To investigate the potential biomarkers associated with immune cells in retinal ischemia-reperfusion injury (RIRI).Methods:The RIRI gene expression profile dataset GSE20521 was obtained from the Gene Expression Omnibus database, and the differentially expressed genes (DEGs) were screened.The GSE20521 gene set was subjected to Gene Set Enrichment Analysis (GSEA) and Immune Cell Abundance Identifier (ImmuCellAI), yielding information pertaining to enriched pathways and immune cell infiltration.The Weighted Correlation Network Analysis (WGCNA) and Pearson correlation analysis were employed to identify the hub modules and candidate genes exhibiting the strongest correlation with immune infiltration.Subsequently, the protein-protein interaction (PPI) network of candidate genes was constructed, and key genes were screened using CytoHubba plugin.Results:The significant GSEA enrichment pathways in the RIRI group including the interferon-γ (IFN-γ), apoptosis, tumor necrosis factor-α/nuclear factor-κB, IFN-α, complement pathway, interleukin-6 (IL-6)-(signal transducer and activator of transcription 3)(STAT3) and IL2-STAT5 signaling pathways, as well as inflammatory response.Compared with the normal control group, the results of ImmuCellAI evaluation revealed significant increases in the proportions of cDC2 cells, monocyte-derived DC cells, M2 macrophages, and CD8_Tc cells and decreases in the proportions of pDC cells, CD4_T cells, CD4_Tm cells, helper T cells, regulatory T cells, follicular B cells, and eosinophils in the RIRI group (all at P<0.05).A total of 144 DEGs were obtained between the two groups of samples.Taking the intersection of DEGs and hub module genes, 140 candidate genes were obtained.GO analysis showed significant enrichment of positive regulation of cytokine production, leukocyte mediated immunity, wound healing, adaptive immune response, niacinamide adenine dinucleotide phosphate oxidase complex, and chemokine binding, etc.KEGG analysis enriched 50 pathways, including phagosome, pertussis, leishmaniasis tuberculosis, and complement and coagulation cascades.Three key genes were finally obtained, namely Cd68, Tlr2 and Hmox1, which were screened by PPI and different CytoHubba algorithms. Conclusions:The bioinformatics analysis reveals a distinct immune microenvironment in the retina of the RIRI group and normal control group, suggesting a correlation between RIRI and infiltration of multiple immune cell types.