Objective:To explore the expression regulation of lipid metabolism gene ABHD5 in testes.Methods:Differential gene analysis was performed by integrating databases of TCGA and GTEx to identify the target gene ABHD5.The expression trends of ABHD5 gene in testicular carcinoma tissue were analyzed.Human testis single-cell atlases were obtained from the Human Protein Atlas and Male Health Atlas databases to determine the expression distribution of ABHD5 across different testicular cell types.Additionally,the GTEx database was utilized to visualize the expression pattern of ABHD5 in the testis,thereby enhancing the understanding of its transcriptional profile.The relationship between ABHD5 expression and age was assessed through integrated database analysis.Western blotting and immunofluorescence were performed to detect differential expressions of ABHD5 in testicular tissues of young and aged mice respectively.Results:The TCGA database indicated that the expression of ABHD5 in human testicular carcinoma tissue was significantly lower than that in normal testicular tissue which showed a negative correlation with patient survival.ABHD5 was highly ex-pressed in germ cells of the testis reveaked from Human Protein Atlas and Male Health Atlas databases.The stability of ABHD5 protein was crucial for testicular tissue,and its expression decreased with age.Furthermore,Western blot and immunofluorescence staining demonstrated that ABHD5 expression in the testicular tissue of aged mice was significantly lower than that in young mice.Conclu-sion:ABHD5 plays an important role in testicular tissue,and may be inseparable from testicular tumors and reproductive aging.How-ever,its mechanism of action remains to be further studied.

Objective To investigate the potential therapeutic effects,targets,and pathways of wogonoside in hypertension-induced renal injury using the Gene Expression Omnibus(GEO)database and network pharmacology,and to validate the effects of wogonoside intervention on the renal tissues of spontaneously hypertensive rats(SHR),angiotensin Ⅱ(Ang Ⅱ)-stimulated NRK-52E cell apoptosis,and the regulation of relevant pathways through in vivo and in vitro experiments.Methods GEO dataset and network pharmacology analyses were performed to investigate the key therapeutic targets of wogonoside for hypertensive nephropathy.The STRING database was used to analyze protein-protein interactions.Biological functions were annotated via Gene Ontology(GO),and the potential signaling pathways were enriched using the Kyoto Encyclopedia of Genes and Genomes(KEGG).SHR were randomly divided into groups and given low,medium,or high doses of wogonoside(0.075,0.75,and 7.5 mg/kg)via gastric gavage for 10 weeks.Morphological changes in the kidney tissue were assessed by hematoxylin-eosin(HE)staining.Serum levels of inflammatory cytokines,including tumor necrosis factor α(TNF-α),interleukin(IL)-1 β,and IL-6,were measured using ELISA.Apoptosis rates were evaluated by TUNEL staining,and Western blot was performed to determine the expression of Bax,Bcl-2,cleaved caspase-3,and caspase-3,and the expression of phosphorylated and total extracellular signal-regulated kinases(ERK)and p38 mitogen-activated protein kinase(MAPK)proteins.An in vitro model of Ang Ⅱ-stimulated NRK-52E cells was constructed and was treated with wogonoside at different concentrations(25,50,or 100 μmol/L)for 24 h.The apoptosis rates were then assessed by Annexin V staining,and Western blot was performed to validate the expression of apoptosis-related and pathway-associated proteins.Results Analysis of dataset GSE41453 revealed 11673 upregulated and 5902 downregulated genes in the renal tissues of SHR compared to the Wistar Kyoto(WKY)rats,or the WKY control group.Through the analysis of multiple databases,371 potential targets of wogonoside were identified,resulting in 98 overlapping targets.From these,45 core therapeutic targets were identified through further analysis,including TNF,CASP3,etc.GO analysis significantly enriched processes such as the negative regulation of apoptosis.KEGG pathway enrichment analysis highlighted the apoptosis pathway,IL-17 signaling pathway,and MAPK signaling pathway as being significantly enriched.Wogonoside treatment effectively mitigated pathological damage in SHR kidney tissues and significantly inhibited the expression of inflammatory cytokines,including TNF-α,IL-1 β,and IL-6(P＜0.05).It also decreased cell apoptosis rates in SHR kidney tissues and Ang Ⅱ-stimulated NRK-52E cells,downregulated the expression of Bax and cleaved caspase-3,and upregulated Bcl-2 expression(P＜0.05).Furthermore,wogonoside treatment inhibited the phosphorylation of ERK and p38 MAPK in SHR kidney tissues and Ang Ⅱ-stimulated NRK-52E cells(P＜0.05).Conclusion Wogonoside may exert its protective effects against hypertension-induced renal injury by suppressing the inflammatory response and cell apoptosis,potentially through the regulation of the MAPK signaling pathway.

Objective To investigate the potential therapeutic effects of trifolin on hypertension-induced renal injury,as well as the key targets and pathways involved.Methods The mRNA transcriptional profiles of peripheral blood clinical samples from hypertensive patients were analyzed using Gene Expression Omnibus(GEO),a high-throughput gene expression database.The network pharmacology method was employed to screen key targets of trifolin in treating hypertension-induced renal injury.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were conducted.NRK-52E cells,a rat renal proximal tubular cell line,were used to construct an angiotensin Ⅱ(Ang Ⅱ)-stimulated cell model.Flow cytometry was performed to assess cell apoptosis rates and Western blotting was performed to determine the expression levels of apoptosis-related proteins,including Bax,Bcl-2,cleaved caspase-3,and caspase-3,and the phosphorylation and total protein levels of the key MAPK pathway proteins,including ERK,p38 MAPK,and JNK.Results Analysis of the dataset GSE75360 revealed that,compared with healthy controls,3 331 genes were upregulated and 3 197 genes were downregulated in peripheral blood mononuclear cells of hypertensive patients.According to network pharmacology analysis,472 potential targets of trifolin were identified,including CASP3 and MAPK1.Protein-protein interaction network analysis showed that these targets were closely associated with apoptosis regulatory signaling pathways.GO and KEGG pathway enrichment analyses indicated that trifolin was significantly enriched in pathways associated with negative regulation of apoptosis,apoptotic signaling pathways,and the MAPK signaling pathway.The in vitro experiments confirmed that,compared with the Ang Ⅱ group,trifolin intervention inhibited apoptosis in Ang Ⅱ-stimulated NRK-52E cells,suppressed the expression of Bax and cleaved caspase-3,promoted Bcl-2 expression,and inhibited the phosphorylation of p38 MAPK,ERK,and JNK(P<0.05).Conclusion Trifolin may exert its protective effect against hypertension-induced renal injury by inhibiting Ang Ⅱ-induced NRK-52E cell apoptosis and regulating the MAPK signaling pathway,representing an important mechanism underlying its therapeutic action.

The engineering application of microbially induced carbonate precipitation(MICP)is limited by pH-dependent conformational dynamics of urease.Focusing on the α-subunit urease from Sporosarcina pasteurii,this study integrated conductivity experiments and constant-pH molecular dynamics simulations to analyze active site conformational dynamics and catalytic function across pH 3-11.Results showed that under neutral conditions(pH 7-8),key histidine residues(HIS139/HIS249)exhibited minimal dis-placement(＜0.5 ?),the longest hydrogen bond lifetime(＞8 ps),highest conformational stability(root mean square deviation,RMSD:0.15-0.18 nm),and optimal catalytic activity(conductivity change rate:0.03 mS/cm·min-1,CaCO3 precipitation:3.84 g).Extreme pH(pH 3/11)induced structural collapse(displacement up to 1.8 ?)and complete activity loss.Simulations revealed that neutral pH sta-bilizes a protonation-dependent cooperative allosteric network by maintaining active site cavity volume(～120 ?3)and moderate conformational coherence(correlation coefficient～0.8).This work deciphers the molecular mechanism of pH-regulated urease dynamics through protonation states,providing theoreti-cal support for MICP applications in acidic mine tailing remediation and alkaline soil stabilization.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.