BACKGROUND According to study,anoikis-related genes(ARGs)have been demonstrated to play a significant impact in cirrhosis,a major disease threatening human health worldwide.AIM To investigate the relationship between ...BACKGROUND According to study,anoikis-related genes(ARGs)have been demonstrated to play a significant impact in cirrhosis,a major disease threatening human health worldwide.AIM To investigate the relationship between ARGs and cirrhosis development to provide insights into the clinical treatment of cirrhosis.METHODS RNA-sequencing data related to cirrhosis were obtained from the Gene Expression Omnibus database.Differentially expressed genes(DEGs)between cirrhotic and normal tissues were intersected with ARGs to derive differentially expressed ARGs(DEARGs).The DEARGs were filtered using the least absolute shrinkage and selection operator,support vector machine recursive feature elimination,and random forest algorithms to identify biomarkers for cirrhosis.These biomarkers were used to create a nomogram for predicting the prognosis of cirrhosis.The proportions of diverse immune cell subsets in cirrhotic vs normal tissues were compared using the CIBERSORT computational method.In addition,the linkage between immune cells and biomarkers was assessed,and a regulatory network of mRNA,miRNA,and transcription factors was constructed relying on the biomarkers.RESULTS The comparison of cirrhotic and normal tissue samples led to the identification of 635 DEGs.Subsequent intersection of the DEGs with ARGs produced a set of 26 DEARGs.Subsequently,three DEARGs,namely,ACTG1,STAT1,and CCR7,were identified as biomarkers using three machine-learning algorithms.The proportions of M1 and M2 macrophages,resting CD4 memory T cells,resting mast cells,and plasma cells significantly differed between cirrhotic and normal tissue samples.The proportions of M1 and M2 macrophages,resting CD4 memory T cells,and resting mast cells were significantly correlated with the expression of the three biomarkers.The mRNA–miRNA–TF network showed that ACTG1,CCR7,and STAT1 were regulated by 28,42,and 35 miRNAs,respectively.Moreover,AR,MAX,EP300,and FOXA1 were found to regulate four miRNAs related to the biomarkers.CONCLUSION This study revealed ACTG1,STAT1,and CCR7 as biomarkers of cirrhosis,providing a reference for developing novel diagnostic and therapeutic strategies for cirrhosis.展开更多
BACKGROUND According to the trend of global population aging,the proportion of elderly patients with chronic kidney disease(CKD)is expected to increase.However,there are more than 20 million people in China with decom...BACKGROUND According to the trend of global population aging,the proportion of elderly patients with chronic kidney disease(CKD)is expected to increase.However,there are more than 20 million people in China with decompensated kidney function,of which 19.25%are elderly people.Therefore,special attention should be paid to the education years,sleep quality,anxiety status,comorbidities with diabetes,cardiovascular disease(CVD),and anemia as independent risk factors for depression in elderly CKD patients.This study explores the clinical management of elderly CKD patients that should address these risk factors to prevent depression and improve their prognosis.AIM To investigate depression risk factors in older patients receiving peritoneal dialysis,aiding future prevention of depression in these patients.METHODS This retrospective study included a primary study population of 170 patients with CKD who received peritoneal dialysis from January 2020 to December 2022.We assessed the patients’mental status using the Beck Depression Inventory Score-II(BDI-II),Self-Rating Anxiety Scale(SAS),Anxiety Inventory Score,and the Pittsburgh Sleep Quality Index(PSQI).Logistic regression was employed to identify depression independent risk factors among these patients.RESULTS The non-depressed group had a significantly longer education period than the depressed group(P<0.05).The depressed group exhibited significantly higher mental status scores than the non-depressed group(P<0.001).Patients with diabetes mellitus(DM)or CVD had a higher probability of developing depression.Patients with depression had significantly lower hemoglobin and albumin levels than patients without depression(P<0.05).Spearman correlation analysis of BDI-II scale scores,measuring depression,indicated positive correlations with BDI-II and SAS scores as risk factors for depression in patients with CKD.In contrast,years of education,hemoglobin levels,and peritoneal Kt/V were negatively correlated,serving as protective factors against depression.An analysis of variance for influences with significant differences in the univariate analysis revealed that years of schooling,BDI-II,SAS,PSQI,DM,CVD,and hemoglobin levels independently influenced depression in older patients with CKD.CONCLUSION Education,BDI-II,SAS,PSQI,DM,and CVD are independent risk factors for depression in older patients with CKD;therefore,post-treatment psychological monitoring of high-risk patients is crucial to prevent depression.展开更多
BACKGROUND Diabetic nephropathy(DN)is frequently seen in the development of diabetes mellitus,and its pathogenic factors are complicated.Its current treatment is controversial,and there is a lack of a relevant efficac...BACKGROUND Diabetic nephropathy(DN)is frequently seen in the development of diabetes mellitus,and its pathogenic factors are complicated.Its current treatment is controversial,and there is a lack of a relevant efficacy prediction model.AIM To determine the effects of paricalcitol combined with hemodiafiltration on bonemetabolism-related indexes in patients with DN and chronic renal failure(CRF),and to construct an efficacy prediction model.METHODS We retrospectively analyzed 422 patients with DN and CRF treated in Cangzhou Central Hospital between May 2020 and May 2022.We selected 94 patients who met the inclusion and exclusion criteria.Patients were assigned to a dialysis group(n=45)and a joint group(n=49)in relation to therapeutic regimen.The clinical efficacy of the two groups was compared after treatment.The changes in laboratory indexes after treatment were evaluated,and the two groups were compared for the incidence of adverse reactions.The predictive value of laboratory indexes on the clinical efficacy on patients was analyzed.RESULTS The dialysis group showed a notably worse improvement in clinical efficacy than the joint group(P=0.017).After treatment,the joint group showed notably lower serum levels of serum creatinine,uric acid(UA)and blood urea nitrogen(BUN)than the dialysis group(P<0.05).After treatment,the joint group had lower serum levels of phosphorus,procollagen type I amino-terminal propeptide(PINP)and intact parathyroid hormone than the dialysis group,but a higher calcium level(P<0.001).Both groups had a similar incidence of adverse reactions(P>0.05).According to least absolute shrinkage and selection operator regression analysis,UA,BUN,phosphorus and PINP were related to treatment efficacy.According to further comparison,the non-improvement group had higher risk scores than the improvement group(P<0.0001),and the area under the curve of the risk score in efficacy prediction was 0.945.CONCLUSION For treatment of CRF and DN,combined paricalcitol and hemodiafiltration can deliver higher clinical efficacy and improve the bone metabolism of patients,with good safety.展开更多
基金Supported by The Basic Research Joint Special General Project of Yunnan Provincial Local Universities(part),No.202301BA070001-029 and No.202301BA070001-044Yunnan Province High-Level Scientific and Technological Talents and Innovation Team Selection Special-Young and Middle-aged Academic and Technical Leaders Reserve Talent Project,No.202405AC350067.
文摘BACKGROUND According to study,anoikis-related genes(ARGs)have been demonstrated to play a significant impact in cirrhosis,a major disease threatening human health worldwide.AIM To investigate the relationship between ARGs and cirrhosis development to provide insights into the clinical treatment of cirrhosis.METHODS RNA-sequencing data related to cirrhosis were obtained from the Gene Expression Omnibus database.Differentially expressed genes(DEGs)between cirrhotic and normal tissues were intersected with ARGs to derive differentially expressed ARGs(DEARGs).The DEARGs were filtered using the least absolute shrinkage and selection operator,support vector machine recursive feature elimination,and random forest algorithms to identify biomarkers for cirrhosis.These biomarkers were used to create a nomogram for predicting the prognosis of cirrhosis.The proportions of diverse immune cell subsets in cirrhotic vs normal tissues were compared using the CIBERSORT computational method.In addition,the linkage between immune cells and biomarkers was assessed,and a regulatory network of mRNA,miRNA,and transcription factors was constructed relying on the biomarkers.RESULTS The comparison of cirrhotic and normal tissue samples led to the identification of 635 DEGs.Subsequent intersection of the DEGs with ARGs produced a set of 26 DEARGs.Subsequently,three DEARGs,namely,ACTG1,STAT1,and CCR7,were identified as biomarkers using three machine-learning algorithms.The proportions of M1 and M2 macrophages,resting CD4 memory T cells,resting mast cells,and plasma cells significantly differed between cirrhotic and normal tissue samples.The proportions of M1 and M2 macrophages,resting CD4 memory T cells,and resting mast cells were significantly correlated with the expression of the three biomarkers.The mRNA–miRNA–TF network showed that ACTG1,CCR7,and STAT1 were regulated by 28,42,and 35 miRNAs,respectively.Moreover,AR,MAX,EP300,and FOXA1 were found to regulate four miRNAs related to the biomarkers.CONCLUSION This study revealed ACTG1,STAT1,and CCR7 as biomarkers of cirrhosis,providing a reference for developing novel diagnostic and therapeutic strategies for cirrhosis.
文摘BACKGROUND According to the trend of global population aging,the proportion of elderly patients with chronic kidney disease(CKD)is expected to increase.However,there are more than 20 million people in China with decompensated kidney function,of which 19.25%are elderly people.Therefore,special attention should be paid to the education years,sleep quality,anxiety status,comorbidities with diabetes,cardiovascular disease(CVD),and anemia as independent risk factors for depression in elderly CKD patients.This study explores the clinical management of elderly CKD patients that should address these risk factors to prevent depression and improve their prognosis.AIM To investigate depression risk factors in older patients receiving peritoneal dialysis,aiding future prevention of depression in these patients.METHODS This retrospective study included a primary study population of 170 patients with CKD who received peritoneal dialysis from January 2020 to December 2022.We assessed the patients’mental status using the Beck Depression Inventory Score-II(BDI-II),Self-Rating Anxiety Scale(SAS),Anxiety Inventory Score,and the Pittsburgh Sleep Quality Index(PSQI).Logistic regression was employed to identify depression independent risk factors among these patients.RESULTS The non-depressed group had a significantly longer education period than the depressed group(P<0.05).The depressed group exhibited significantly higher mental status scores than the non-depressed group(P<0.001).Patients with diabetes mellitus(DM)or CVD had a higher probability of developing depression.Patients with depression had significantly lower hemoglobin and albumin levels than patients without depression(P<0.05).Spearman correlation analysis of BDI-II scale scores,measuring depression,indicated positive correlations with BDI-II and SAS scores as risk factors for depression in patients with CKD.In contrast,years of education,hemoglobin levels,and peritoneal Kt/V were negatively correlated,serving as protective factors against depression.An analysis of variance for influences with significant differences in the univariate analysis revealed that years of schooling,BDI-II,SAS,PSQI,DM,CVD,and hemoglobin levels independently influenced depression in older patients with CKD.CONCLUSION Education,BDI-II,SAS,PSQI,DM,and CVD are independent risk factors for depression in older patients with CKD;therefore,post-treatment psychological monitoring of high-risk patients is crucial to prevent depression.
文摘BACKGROUND Diabetic nephropathy(DN)is frequently seen in the development of diabetes mellitus,and its pathogenic factors are complicated.Its current treatment is controversial,and there is a lack of a relevant efficacy prediction model.AIM To determine the effects of paricalcitol combined with hemodiafiltration on bonemetabolism-related indexes in patients with DN and chronic renal failure(CRF),and to construct an efficacy prediction model.METHODS We retrospectively analyzed 422 patients with DN and CRF treated in Cangzhou Central Hospital between May 2020 and May 2022.We selected 94 patients who met the inclusion and exclusion criteria.Patients were assigned to a dialysis group(n=45)and a joint group(n=49)in relation to therapeutic regimen.The clinical efficacy of the two groups was compared after treatment.The changes in laboratory indexes after treatment were evaluated,and the two groups were compared for the incidence of adverse reactions.The predictive value of laboratory indexes on the clinical efficacy on patients was analyzed.RESULTS The dialysis group showed a notably worse improvement in clinical efficacy than the joint group(P=0.017).After treatment,the joint group showed notably lower serum levels of serum creatinine,uric acid(UA)and blood urea nitrogen(BUN)than the dialysis group(P<0.05).After treatment,the joint group had lower serum levels of phosphorus,procollagen type I amino-terminal propeptide(PINP)and intact parathyroid hormone than the dialysis group,but a higher calcium level(P<0.001).Both groups had a similar incidence of adverse reactions(P>0.05).According to least absolute shrinkage and selection operator regression analysis,UA,BUN,phosphorus and PINP were related to treatment efficacy.According to further comparison,the non-improvement group had higher risk scores than the improvement group(P<0.0001),and the area under the curve of the risk score in efficacy prediction was 0.945.CONCLUSION For treatment of CRF and DN,combined paricalcitol and hemodiafiltration can deliver higher clinical efficacy and improve the bone metabolism of patients,with good safety.
