Aim To explore the exact branched-chain amino acid(BCAA)that exacerbates acute myocardial infarction(MI)injury and mechanisms of such action.Methods At the cellular level,myocardial injury model was stimulated in H9c2 cells subjected to H2O2.The effects of the three branched-chain amino acids on MI were evaluated by measuring MTT,LDH leakage rate and cellular morphology.In vivo,the MI model was established by ligating the coronary left anterior descending artery.Electrocardiography,echocardio-graphy,TTC staining and histopathological detection were conducted.Additionally,Western blot was used to determine the effect of leucine on inflammatory sig-naling pathway in vitro.Results At the cellular lev-el,BCAA pretreatment could further inhibit the surviv-al rate of cardiomyocytes,increase LDH leakage rate,markedly decrease cell numbers and obviously shrink-age morphology,thus aggravating acute injury in car-diomyocytes.In vivo,leucine or BCAA pretreatment further deteriorated the cardiac function,increased the cardiac infarct size,worsened the histopathological changes,increased levels of the serum CK-MB and AST in the MI group rats,and ultimately exacerbated the MI injury in rats.Additionally,leucine could dosedependently exacerbate the activation of the NL-RP3 inflammasome signaling pathway induced by H2O2 stimulation in H9c2 cells.Conclusion The exacerba-ting effect of BCAA on MI injury is mainly exerted through leucine,and this effect is associated with the activation of the NLRP3 inflammasome.

Objective To investigate the role and mechanism of inflammatory marker C5a in regulating the polarization of M2 macro-phages as well as its clinical application value in the prognosis evaluation of lung cancer.Methods The phorbol 12-myristate 13-ace-tate(PMA)-pulsed human monocytic leukemia cell line THP-1 was stimulated with C5a for 0,6,12,24,and 48 h or 0,1,2,3,6,and 12 h,and then the expression levels of M2 markers CD163 and CD206 mRNA were determined by real-time fluorescence quantita-tive PCR(qRT-PCR).The expression level of general control non-repressed protein 5(GCN5)with histone acetyltransferase(HAT)activity was detected by Western blot.Co-immunoprecipitation(co-IP)was used to determine the acetylation of GATA binding protein 3(GATA3),a key transcription factor for macrophages,and its binding ability to GCN5 and E1A binding protein p300(Ep300/p300).After the macrophages pre-treated with GCN5 inhibitor butyrolactone 3(MB-3)were stimulated with C5a,the expression levels of CD163 and CD206,acetylation of GATA3,and its binding ability to GCN5 were determined by Western blot and co-IP.The clinical significance of the expression of C5a receptor 1(C5aR1)and GCN5 in lung cancer tissues in the prognosis of lung cancer patients was analyzed using the KM plotter database.Results C5a could significantly increase the expression levels of CD163 and CD206 mRNA,expression of GCN5,acetylation of GATA3,and its binding ability to GCN5 in PMA-induced adherent macrophages,but did not affect the binding of GATA3 to p300.Inhibiting the activity of GCN5 not only significantly reduced the acetylation of GATA3 and its binding ability to GCN5,but also down-regulated the expressions of CD163 and CD206.The overall survival rate of lung cancer patients with high expression of C5aR1 or GCN5 was significantly reduced.Conclusion C5a promotes the polarization of M2 macrophages by indu-cing GCN5 to acetylate GATA3.The expressions of C5aR1 and GCN5 in lung cancer tissues may have certain clinical application value for the prognosis of the patients.

Objective To investigate the role and mechanism of inflammatory marker C5a in regulating the polarization of M2 macro-phages as well as its clinical application value in the prognosis evaluation of lung cancer.Methods The phorbol 12-myristate 13-ace-tate(PMA)-pulsed human monocytic leukemia cell line THP-1 was stimulated with C5a for 0,6,12,24,and 48 h or 0,1,2,3,6,and 12 h,and then the expression levels of M2 markers CD163 and CD206 mRNA were determined by real-time fluorescence quantita-tive PCR(qRT-PCR).The expression level of general control non-repressed protein 5(GCN5)with histone acetyltransferase(HAT)activity was detected by Western blot.Co-immunoprecipitation(co-IP)was used to determine the acetylation of GATA binding protein 3(GATA3),a key transcription factor for macrophages,and its binding ability to GCN5 and E1A binding protein p300(Ep300/p300).After the macrophages pre-treated with GCN5 inhibitor butyrolactone 3(MB-3)were stimulated with C5a,the expression levels of CD163 and CD206,acetylation of GATA3,and its binding ability to GCN5 were determined by Western blot and co-IP.The clinical significance of the expression of C5a receptor 1(C5aR1)and GCN5 in lung cancer tissues in the prognosis of lung cancer patients was analyzed using the KM plotter database.Results C5a could significantly increase the expression levels of CD163 and CD206 mRNA,expression of GCN5,acetylation of GATA3,and its binding ability to GCN5 in PMA-induced adherent macrophages,but did not affect the binding of GATA3 to p300.Inhibiting the activity of GCN5 not only significantly reduced the acetylation of GATA3 and its binding ability to GCN5,but also down-regulated the expressions of CD163 and CD206.The overall survival rate of lung cancer patients with high expression of C5aR1 or GCN5 was significantly reduced.Conclusion C5a promotes the polarization of M2 macrophages by indu-cing GCN5 to acetylate GATA3.The expressions of C5aR1 and GCN5 in lung cancer tissues may have certain clinical application value for the prognosis of the patients.

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Objective To design an image processing system for skeletal measurement of arch,calcaneus and knee joint.Methods The image processing system had its hardware part composed of an image acquisition system,a body mass measurement system and a height measurement system.The image acquisition system consisted of an arch image acquisition module,a calcaneus image acquisition modue and a knee joint image acquisition module;the height measurement system included mainly a height meter component with a mechanically retractable structure;the body mass measurement system used CZL902 sensor combined with the hardware architecture to determine the body mass.The software system of the image processing system was developed with C#language and the application program interface was constructed by combining WinForm technique.Thirty-two healthy children and adult volunteers without significant foot or knee disease were recruited to assess the reliability and validity of the system by means of the consistency testing method.Results The system developed gained high reliability in the reliability and validity of the data on arch,calcaneus and knee joint(intragroup coefficient>0.75,P<0.05),and all the indexes except ankle sapcing width had higher intra-and inter-tester reliablity for the child volunteers than for the adult ones.Conclusion The system developed with high convenience and accuracy can be used for skeletal measurement of arch,calcaneus and knee joint.[Chinese Medical Equipment Journal,2025,46(10):36-40]

Aim To explore the exact branched-chain amino acid(BCAA)that exacerbates acute myocardial infarction(MI)injury and mechanisms of such action.Methods At the cellular level,myocardial injury model was stimulated in H9c2 cells subjected to H2O2.The effects of the three branched-chain amino acids on MI were evaluated by measuring MTT,LDH leakage rate and cellular morphology.In vivo,the MI model was established by ligating the coronary left anterior descending artery.Electrocardiography,echocardio-graphy,TTC staining and histopathological detection were conducted.Additionally,Western blot was used to determine the effect of leucine on inflammatory sig-naling pathway in vitro.Results At the cellular lev-el,BCAA pretreatment could further inhibit the surviv-al rate of cardiomyocytes,increase LDH leakage rate,markedly decrease cell numbers and obviously shrink-age morphology,thus aggravating acute injury in car-diomyocytes.In vivo,leucine or BCAA pretreatment further deteriorated the cardiac function,increased the cardiac infarct size,worsened the histopathological changes,increased levels of the serum CK-MB and AST in the MI group rats,and ultimately exacerbated the MI injury in rats.Additionally,leucine could dosedependently exacerbate the activation of the NL-RP3 inflammasome signaling pathway induced by H2O2 stimulation in H9c2 cells.Conclusion The exacerba-ting effect of BCAA on MI injury is mainly exerted through leucine,and this effect is associated with the activation of the NLRP3 inflammasome.

Objective To design an image processing system for skeletal measurement of arch,calcaneus and knee joint.Methods The image processing system had its hardware part composed of an image acquisition system,a body mass measurement system and a height measurement system.The image acquisition system consisted of an arch image acquisition module,a calcaneus image acquisition modue and a knee joint image acquisition module;the height measurement system included mainly a height meter component with a mechanically retractable structure;the body mass measurement system used CZL902 sensor combined with the hardware architecture to determine the body mass.The software system of the image processing system was developed with C#language and the application program interface was constructed by combining WinForm technique.Thirty-two healthy children and adult volunteers without significant foot or knee disease were recruited to assess the reliability and validity of the system by means of the consistency testing method.Results The system developed gained high reliability in the reliability and validity of the data on arch,calcaneus and knee joint(intragroup coefficient>0.75,P<0.05),and all the indexes except ankle sapcing width had higher intra-and inter-tester reliablity for the child volunteers than for the adult ones.Conclusion The system developed with high convenience and accuracy can be used for skeletal measurement of arch,calcaneus and knee joint.[Chinese Medical Equipment Journal,2025,46(10):36-40]

BACKGROUND:Many recent studies have shown a close relationship between inflammatory cytokines and osteoporosis and bone mineral density(BMD).However,the causal relationship between inflammatory cytokines and BMD has not been fully revealed. OBJECTIVE:To explore the potential causal relationship between inflammatory cytokines and BMD using a two-sample Mendelian randomization analysis. METHODS:The single nucleotide polymorphisms associated with 41 circulating inflammatory cytokines were selected from the open database of genome-wide association studies(GWAS)as instrumental variables.The GWAS data about BMD were from the Genetic Factors for Osteoporosis Consortium,involving a total of 32 735 individuals of European ancestry.Inverse variance weighting was used as the primary analysis to evaluate the causal effect.Weighted median,MR Egger regression,simple mode,and weighted mode methods were used to supplement the explanation.We used the MR-Egger intercept and MR-PRESSO method to conduct a pleiotropy test,the Cochran's Q test was used to determine whether there was heterogeneity in the results,and the leave-one-out method was used to evaluate the stability of the results.In addition,to more accurately assess the causality,the Bonferroni-corrected test was used to identify inflammatory cytokines that have a strong causal relationship with BMD. RESULTS AND CONCLUSION:(1)According to the results of the inverse variance weighting method,we found a positive causal relationship between interleukin-8 and lumbar spine BMD[β=0.075,95%confidence interval(CI):0.033-0.117,P=0.000 5),while a negative causal relationship between interleukin-17 and lumbar spine BMD(β=-0.083,95%CI:-0.152 to-0.014,P=0.018).There might be a negative causal relationship between tumor necrosis factor b and femoral neck BMD(β=-0.053,95%CI:-0.088 to-0.018,P=0.003),while a positive causal relationship between basic fibroblast growth factor and femoral neck BMD(β=0.085,95%CI:0.016-0.154,P=0.015).There might be a negative causal relationship between macrophage inflammatory protein-1a and total body BMD(β=-0.056,95%CI:-0.105 to-0.007,P=0.025).There was a negative causal relationship between interleukin-5(β=-0.019,95%CI:-0.031 to-0.006,P=0.004),stromal cell-derived factor-1a(β=-0.022,95%CI:-0.038 to-0.005,P=0.010),hepatocyte growth factor(β=-0.021,95%CI:-0.041 to-0.002,P=0.030),interleukin-4(β=-0.016,95%CI:-0.032 to-0.001,P=0.034)and heel BMD,while a positive causal relationship between nerve growth factor(β=0.019,95%CI:0.002-0.036,P=0.033),granulocyte colony-stimulating factor(β=0.011,95%CI:0.000-0.022,P=0.050),and heel BMD.Meanwhile,after the Bonferroni-corrected test,there was a strong positive causal effect between interleukin-8 and lumbar spine BMD(P=0.000 5).And consistent directional effects for all analyses were observed in MR Egger,weighted median,simple mode,and weighted mode methods.(2)Sensitivity analyses revealed no heterogeneity,pleiotropy,or outliers for the causal effect of circulating inflammatory cytokines on BMD.

Patients suffering from nerve injury often experience exacerbated pain responses and complain of memory deficits. The dorsal hippocampus (dHPC), a well-defined region responsible for learning and memory, displays maladaptive plasticity upon injury, which is assumed to underlie pain hypersensitivity and cognitive deficits. However, much attention has thus far been paid to intracellular mechanisms of plasticity rather than extracellular alterations that might trigger and facilitate intracellular changes. Emerging evidence has shown that nerve injury alters the microarchitecture of the extracellular matrix (ECM) and decreases ECM rigidity in the dHPC. Despite this, it remains elusive which element of the ECM in the dHPC is affected and how it contributes to neuropathic pain and comorbid cognitive deficits. Laminin, a key element of the ECM, consists of α-, β-, and γ-chains and has been implicated in several pathophysiological processes. Here, we showed that peripheral nerve injury downregulates laminin β1 (LAMB1) in the dHPC. Silencing of hippocampal LAMB1 exacerbates pain sensitivity and induces cognitive dysfunction. Further mechanistic analysis revealed that loss of hippocampal LAMB1 causes dysregulated Src/NR2A signaling cascades via interaction with integrin β1, leading to decreased Ca²⁺ levels in pyramidal neurons, which in turn orchestrates structural and functional plasticity and eventually results in exaggerated pain responses and cognitive deficits. In this study, we shed new light on the functional capability of hippocampal ECM LAMB1 in the modulation of neuropathic pain and comorbid cognitive deficits, and reveal a mechanism that conveys extracellular alterations to intracellular plasticity. Moreover, we identified hippocampal LAMB1/integrin β1 signaling as a potential therapeutic target for the treatment of neuropathic pain and related memory loss.
Animals ; Laminin/genetics* ; Hippocampus/metabolism* ; Neuralgia/metabolism* ; Cognitive Dysfunction/etiology* ; Male ; Peripheral Nerve Injuries/metabolism* ; Extracellular Matrix/metabolism* ; Integrin beta1/metabolism* ; Pyramidal Cells/metabolism* ; Signal Transduction