Objectives:This study aims to investigate the association between Chinese visceral adiposity index(CVAI)and the risk of cardiovascular disease(CVD),and explore the sex differences.Methods:Participants were screened from the three sub-cohorts of Prediction for Atherosclerotic Cardiovascular Disease Risk in China(China-PAR)project,baseline information on body measure and biochemistry examinations were collected from 1998,2000-2001,and 2007-2008,separately.Participants were followed up to 2015.Cohort-stratified Cox proportional risk models were used to analyze the relationship between CVAI,both in continuous(per standard deviation increase)and categorical(quartiles,with Q1 as reference)scales,and CVD risk in the total population,men and women.The multiplicative interaction between sex and CVAI on CVD risk were calculated.Restricted cubic spline regression was employed to investigate the dose-response relationship.Results:A total of 98 464 participants without CVD at baseline were included.During the 723 508 person-years of follow-up,3 605 CVD events were recorded.After multivariate adjustment,the HRs(95％CIs)of CVD were 1.25(1.20-1.29),1.09(1.04-1.15),and 1.54(1.46-1.64)for per standard deviation increment in CVAI in the general population,men and women,respectively.Besides,compared with Q1 group,the HRs(95％CIs)in Q4 group were 1.87(1.67-2.10),1.33(1.14-1.54)and 3.84(3.09-4.78),correspondingly,and the effect of CVAI on the risk of CVD was significantly higher in women than in men(Pinteraction<0.05).Additionally,there was a positive dose-response relationship between CVAI and the risk of CVD.Conclusions:Elevated CVAI is an independent risk factor for CVD,especially in women.

Due to its high sensitivity and non-destructive nature, Raman spectroscopy has become an essential analytical tool in biopharmaceutical analysis and drug development. Despite of the computational demands, data requirements, or ethical considerations, artificial intelligence (AI) and particularly deep learning algorithms has further advanced Raman spectroscopy by enhancing data processing, feature extraction, and model optimization, which not only improves the accuracy and efficiency of Raman spectroscopy detection, but also greatly expands its range of application. AI-guided Raman spectroscopy has numerous applications in biomedicine, including characterizing drug structures, analyzing drug forms, controlling drug quality, identifying components, and studying drug-biomolecule interactions. AI-guided Raman spectroscopy has also revolutionized biomedical research and clinical diagnostics, particularly in disease early diagnosis and treatment optimization. Therefore, AI methods are crucial to advancing Raman spectroscopy in biopharmaceutical research and clinical diagnostics, offering new perspectives and tools for disease treatment and pharmaceutical process control. In summary, integrating AI and Raman spectroscopy in biomedicine has significantly improved analytical capabilities, offering innovative approaches for research and clinical applications.

AIM:To investigate the modulatory role of E3 ubiquitin-protein ligase ITCH in Alzheimer disease(AD)-like pathology through the thioredoxin-interacting protein(TXNIP)-nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)signaling pathway using both in vivo and in vitro experimental models.METHODS:(1)Ten 5×FAD(AD model)mice and 10 wild-type(WT)mice at 2-,4-and 6-month-old were randomly allocated into AD and WT groups.Amyloid β-protein(Aβ)plaque burden in the brain was detected by thioflavin-S and immunofluorescence staining,with the latter method additionally applied to assess TXNIP protein expression.The protein levels of ITCH and TXNIP were determined by Western blot,while their interaction was verified by co-immunoprecipitation.(2)Mouse mi-croglia BV2 cells stimulated by lipopolysaccharide(LPS)were used to construct neuroinflammation model,and were di-vided into control(CON)group and LPS+ATP treatment group.The BV2 cells stimulated by Aβ were used to construct AD inflammation model.According to the different treatment time,they were divided into CON,and 12,24 and 48 h treatment groups.Western blot was used to evaluate the expression of ITCH,TXNIP,and NLRP3 inflammasome compo-nents(NLRP3 and caspase-1)as well as the downstream IL-1β.Adenovirus-mediated ITCH overexpression(OE-ITCH)in Aβ-stimulated BV2 cells comprised three experimental groups:negative control group,Aβ oligomer stimulation group,and OE-ITCH group,with subsequent immunoblotting of inflammatory mediators.RESULTS:The deposition of Aβ plaques in the cortex and hippocampus of 5×FAD transgenic mice exhibited an age-dependent progression(P<0.01).Compared with WT mice,the levels of TXNIP protein increased synchronously,and the levels of ubiquitin ligase ITCH was significantly down-regulated(P<0.05).Co-immunoprecipitation confirmed the interaction between ITCH and TXNIP proteins in the brain of 2-and 4-month-old 5×FAD mice,which exhibited marked attenuation by 4 months of age.In BV2 microglial models,Aβ/LPS stimulation provoked significant ITCH suppression,concurrently up-regulating TXNIP,core NLRP3 inflammasome components(NLRP3 and caspase-1),and downstream IL-1β(P<0.05).Overexpression of ITCH significantly inhibited Aβ-induced activation of TXNIP and NLRP3 and therelated inflammatory factors in BV2 cells.CONCLUSION:The results of in vitro and in vivo experiments showed that ITCH protein exerts effects against AD-like pathology by inhibiting the expression of TXNIP-NLRP3 signaling pathway.

AIM:To investigate the modulatory role of E3 ubiquitin-protein ligase ITCH in Alzheimer disease(AD)-like pathology through the thioredoxin-interacting protein(TXNIP)-nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)signaling pathway using both in vivo and in vitro experimental models.METHODS:(1)Ten 5×FAD(AD model)mice and 10 wild-type(WT)mice at 2-,4-and 6-month-old were randomly allocated into AD and WT groups.Amyloid β-protein(Aβ)plaque burden in the brain was detected by thioflavin-S and immunofluorescence staining,with the latter method additionally applied to assess TXNIP protein expression.The protein levels of ITCH and TXNIP were determined by Western blot,while their interaction was verified by co-immunoprecipitation.(2)Mouse mi-croglia BV2 cells stimulated by lipopolysaccharide(LPS)were used to construct neuroinflammation model,and were di-vided into control(CON)group and LPS+ATP treatment group.The BV2 cells stimulated by Aβ were used to construct AD inflammation model.According to the different treatment time,they were divided into CON,and 12,24 and 48 h treatment groups.Western blot was used to evaluate the expression of ITCH,TXNIP,and NLRP3 inflammasome compo-nents(NLRP3 and caspase-1)as well as the downstream IL-1β.Adenovirus-mediated ITCH overexpression(OE-ITCH)in Aβ-stimulated BV2 cells comprised three experimental groups:negative control group,Aβ oligomer stimulation group,and OE-ITCH group,with subsequent immunoblotting of inflammatory mediators.RESULTS:The deposition of Aβ plaques in the cortex and hippocampus of 5×FAD transgenic mice exhibited an age-dependent progression(P<0.01).Compared with WT mice,the levels of TXNIP protein increased synchronously,and the levels of ubiquitin ligase ITCH was significantly down-regulated(P<0.05).Co-immunoprecipitation confirmed the interaction between ITCH and TXNIP proteins in the brain of 2-and 4-month-old 5×FAD mice,which exhibited marked attenuation by 4 months of age.In BV2 microglial models,Aβ/LPS stimulation provoked significant ITCH suppression,concurrently up-regulating TXNIP,core NLRP3 inflammasome components(NLRP3 and caspase-1),and downstream IL-1β(P<0.05).Overexpression of ITCH significantly inhibited Aβ-induced activation of TXNIP and NLRP3 and therelated inflammatory factors in BV2 cells.CONCLUSION:The results of in vitro and in vivo experiments showed that ITCH protein exerts effects against AD-like pathology by inhibiting the expression of TXNIP-NLRP3 signaling pathway.

Objectives:This study aims to investigate the association between Chinese visceral adiposity index(CVAI)and the risk of cardiovascular disease(CVD),and explore the sex differences.Methods:Participants were screened from the three sub-cohorts of Prediction for Atherosclerotic Cardiovascular Disease Risk in China(China-PAR)project,baseline information on body measure and biochemistry examinations were collected from 1998,2000-2001,and 2007-2008,separately.Participants were followed up to 2015.Cohort-stratified Cox proportional risk models were used to analyze the relationship between CVAI,both in continuous(per standard deviation increase)and categorical(quartiles,with Q1 as reference)scales,and CVD risk in the total population,men and women.The multiplicative interaction between sex and CVAI on CVD risk were calculated.Restricted cubic spline regression was employed to investigate the dose-response relationship.Results:A total of 98 464 participants without CVD at baseline were included.During the 723 508 person-years of follow-up,3 605 CVD events were recorded.After multivariate adjustment,the HRs(95％CIs)of CVD were 1.25(1.20-1.29),1.09(1.04-1.15),and 1.54(1.46-1.64)for per standard deviation increment in CVAI in the general population,men and women,respectively.Besides,compared with Q1 group,the HRs(95％CIs)in Q4 group were 1.87(1.67-2.10),1.33(1.14-1.54)and 3.84(3.09-4.78),correspondingly,and the effect of CVAI on the risk of CVD was significantly higher in women than in men(Pinteraction<0.05).Additionally,there was a positive dose-response relationship between CVAI and the risk of CVD.Conclusions:Elevated CVAI is an independent risk factor for CVD,especially in women.

[Objective]To investigate the effect and mechanism of Shuxuetong and its main component hirudin on the apoptosis of cerebellar granule neurons(CGNs)in Sprague-Dawley(SD)rats.[Methods]CGNs incubated in vitro for 7 days were divided into survival control group or 25 K group(cultured in medium containing 25 mmol/L KCL)and apopto-sis group or 5 K group(cultured in medium containing 5 mmol/L KCL).CGNs were separately treated with proportionally diluted and different concentrations of Shuxuetong(1/50,1/40,1/30,1/20 and 1/10)and the corresponding different con-centrations of hirudin(2,2.5,3.34,5 and 10 U/mL).Hoechst staining was performed to analyze the apoptosis.Western blot was used to detect the expression levels of Cleaved Caspase-3,Bim and VEGF.[Results]Hoechst staining showed that 5 K group had a higher apoptosis rate than 25 K group.In 25 K group,there was no significant change in the apoptosis rate between neurons treated with different concentrations of Shuxuetong and hirudin,but significant changes was found in 5 K group and the higher the concentration,the lower the apoptosis rate.Western blot results revealed that,compared with control neurons in 5 K group,Shuxuetong injection and hirudin treatments resulted in a decrease of Cleaved Caspase-3 and Bim expression,but an increase of VEGF protein.[Conclusions]Shuxuetong and its main component hirudin inhibits the apoptosis of CGNs through suppressing proapoptotic BH3-only protein Bim.

To investigate the expression of mRNA in esophageal cancer (ESCA) tissues and its potential and diagnostic and prognostic value by high-throughput sequencing data. Using the Cancer Genome Atlas Program (TCGA) database in USA by integrative bioinformatics analysis methods, the gene expression profiles and clinical data of 173 patients with ECSA were collected. The mRNA expression levels in ESCA tissue and para-cancerous tissue samples were analyzed using DESeq2, edgeR and limma to screen the differentially expressed genes (DEGs). DEGs-related protein network diagrams were drawn. GO and KEGG function enrichment analysis were performed and the hub genes were screened and the survival analysis of hub genes was analyzed. Genes related to the prognosis of ESCA were selected and their prognostic value in ESCA was analyzed. Finally, the receiver operating characteristic curve was drawn to evaluate its diagnostic value. The results showed that using TCGA cancer data, a total of 620 up-regulated DEGs and 668 down-regulated DEGs with significant differential expression between ESCA and para-cancerous tissues were screened. DEGs were mainly involved in receptor complexes, ubiquitin ligase complexes, etc., playing GTPase activity, phospholipid binding, and other molecular functions, and participating in the regulation of intracellular substance transport, small molecule metabolism, and other biological processes. Protein functional enrichment analysis showed that these proteins were mainly enriched in the IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, Epstein-Barr virus infection, neutrophil extracellular trap formation, and other pathways involved in the formation and development process of ESCA. Survival analysis showed that the overall survival rate of ESCA patients with high expression of KIF4A, RAD51AP1, and CDKN3 was significantly shortened, and the difference was statistically significant ( P<0.05). Furthermore, the areas under the curve (AUC) of KIF4A, RAD51AP1, and CDKN3 for diagnosing esophageal cancer were 0.956, 0.951 and 0.979, respectively, with sensitivities and specificities both exceeding 80%. Additionally, ROC results of the combined diagnostic model of these three genes showed an AUC of 0.979, with sensitivities and specificities of 0.914 and 1, respectively. This indicates that KIF4A, RAD51AP1 and CDKN3 have individual or combined auxiliary diagnostic value for ESCA. In conclusion, KIF4A, RAD51AP1 and CDKN3 have high diagnostic efficiency for ESCA, and their increased expression is closely related to the prognosis, suggesting that these three genes could be used as auxiliary diagnostic and prognostic factors for ESCA.

Background::Despite the adverse effects of ambient fine particulate matter (PM 2.5) on type 2 diabetes and the beneficial role of physical activity (PA), the influence of PM 2.5 on the relationship between PA and type 2 diabetes remains unclear. Methods::In this prospective study with 71,689 participants, PA was assessed by a questionnaire and was categorized into quartiles for volume and three groups for intensity. Long-term PM 2.5 exposure was calculated using 1-km resolution satellite-based PM 2.5 estimates. PM 2.5 exposure and PA's effect on type 2 diabetes were assessed by cohort-stratified Cox proportional hazards models, individually and in combination. Results::In 488,166 person-years of follow-up, 5487 incident type 2 diabetes cases were observed. The association between PA and type 2 diabetes was modified by PM 2.5. Compared with the lowest quartile of PA volume, the highest quartile was associated with reduced type 2 diabetes risk in low PM 2.5 stratification (≤65.02 μg/m 3) other than in high PM 2.5 stratification (>65.02 μg/m 3), with the hazard ratio (HR) of 0.75 (95% confidence interval [CI]: 0.66-0.85) and 1.10 (95% CI: 0.99-1.22), respectively. Similar results were observed for PA intensity. High PM 2.5 exposure combined with the highest PA levels increased the risk of type 2 diabetes the most (HR= 1.79, 95% CI: 1.59-2.01 for PA volume; HR = 1.82, 95% CI: 1.64-2.02 for PA intensity). Conclusion::PA could reduce type 2 diabetes risk in low-pollution areas, but high PM 2.5 exposure may weaken or even reverse the protective effects of PA. Safety and health benefits of PA should be thoroughly assessed for long-term polluted residents.

Background::Despite the adverse effects of ambient fine particulate matter (PM 2.5) on type 2 diabetes and the beneficial role of physical activity (PA), the influence of PM 2.5 on the relationship between PA and type 2 diabetes remains unclear. Methods::In this prospective study with 71,689 participants, PA was assessed by a questionnaire and was categorized into quartiles for volume and three groups for intensity. Long-term PM 2.5 exposure was calculated using 1-km resolution satellite-based PM 2.5 estimates. PM 2.5 exposure and PA's effect on type 2 diabetes were assessed by cohort-stratified Cox proportional hazards models, individually and in combination. Results::In 488,166 person-years of follow-up, 5487 incident type 2 diabetes cases were observed. The association between PA and type 2 diabetes was modified by PM 2.5. Compared with the lowest quartile of PA volume, the highest quartile was associated with reduced type 2 diabetes risk in low PM 2.5 stratification (≤65.02 μg/m 3) other than in high PM 2.5 stratification (>65.02 μg/m 3), with the hazard ratio (HR) of 0.75 (95% confidence interval [CI]: 0.66-0.85) and 1.10 (95% CI: 0.99-1.22), respectively. Similar results were observed for PA intensity. High PM 2.5 exposure combined with the highest PA levels increased the risk of type 2 diabetes the most (HR= 1.79, 95% CI: 1.59-2.01 for PA volume; HR = 1.82, 95% CI: 1.64-2.02 for PA intensity). Conclusion::PA could reduce type 2 diabetes risk in low-pollution areas, but high PM 2.5 exposure may weaken or even reverse the protective effects of PA. Safety and health benefits of PA should be thoroughly assessed for long-term polluted residents.

To investigate the expression of mRNA in esophageal cancer (ESCA) tissues and its potential and diagnostic and prognostic value by high-throughput sequencing data. Using the Cancer Genome Atlas Program (TCGA) database in USA by integrative bioinformatics analysis methods, the gene expression profiles and clinical data of 173 patients with ECSA were collected. The mRNA expression levels in ESCA tissue and para-cancerous tissue samples were analyzed using DESeq2, edgeR and limma to screen the differentially expressed genes (DEGs). DEGs-related protein network diagrams were drawn. GO and KEGG function enrichment analysis were performed and the hub genes were screened and the survival analysis of hub genes was analyzed. Genes related to the prognosis of ESCA were selected and their prognostic value in ESCA was analyzed. Finally, the receiver operating characteristic curve was drawn to evaluate its diagnostic value. The results showed that using TCGA cancer data, a total of 620 up-regulated DEGs and 668 down-regulated DEGs with significant differential expression between ESCA and para-cancerous tissues were screened. DEGs were mainly involved in receptor complexes, ubiquitin ligase complexes, etc., playing GTPase activity, phospholipid binding, and other molecular functions, and participating in the regulation of intracellular substance transport, small molecule metabolism, and other biological processes. Protein functional enrichment analysis showed that these proteins were mainly enriched in the IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, Epstein-Barr virus infection, neutrophil extracellular trap formation, and other pathways involved in the formation and development process of ESCA. Survival analysis showed that the overall survival rate of ESCA patients with high expression of KIF4A, RAD51AP1, and CDKN3 was significantly shortened, and the difference was statistically significant ( P<0.05). Furthermore, the areas under the curve (AUC) of KIF4A, RAD51AP1, and CDKN3 for diagnosing esophageal cancer were 0.956, 0.951 and 0.979, respectively, with sensitivities and specificities both exceeding 80%. Additionally, ROC results of the combined diagnostic model of these three genes showed an AUC of 0.979, with sensitivities and specificities of 0.914 and 1, respectively. This indicates that KIF4A, RAD51AP1 and CDKN3 have individual or combined auxiliary diagnostic value for ESCA. In conclusion, KIF4A, RAD51AP1 and CDKN3 have high diagnostic efficiency for ESCA, and their increased expression is closely related to the prognosis, suggesting that these three genes could be used as auxiliary diagnostic and prognostic factors for ESCA.