Objective:To evaluate the predictive value of the neutrophil⁃to⁃lymphocyte ratio(NLR)and the systemic immune⁃inflammation index(SII)in predicting patients with anti⁃melanoma differentiation⁃associated gene 5⁃positive(...Objective:To evaluate the predictive value of the neutrophil⁃to⁃lymphocyte ratio(NLR)and the systemic immune⁃inflammation index(SII)in predicting patients with anti⁃melanoma differentiation⁃associated gene 5⁃positive(anti⁃MDA5+)dermatomyositis(DM)develop into the rapidly progressive interstitial lung disease(RPILD).Methods:We retrospectively analyzed the clinical and laboratory data of 124 anti⁃MDA5+DM patients from the First Affiliated Hospital of Nanjing Medical University between March 2019 and September 2023.We identified independent risk factors associated with the development and mortality of RPILD with the Cox regression analysis,and determined the optimal cut⁃off values for predicting adverse outcomes with the receiver operating characteristic(ROC)curve analysis.Results:Among the 124 patients,36 patients(29.03%)developed RPILD,and 39 patients(31.45%)died during the follow⁃up period.The results of multivariate Cox regression analysis showed that the elevated NLR was an independent risk factor for RPILD development,while the elevated SII expression was independently associated with the increased mortality of RPILD.Based on the ROC curve analysis,NLR>6.12 was a predictor for RPILD,and SII>875.79 was associated with increased mortality risk of RPILD.Conclusion:Both NLR and SII are accessible,cost⁃effective,and reliable prognostic indicators for the prognosis of patients with anti⁃MDA5^(+)DM,providing a valuable guidance for clinical management and risk stratification of the disease.展开更多
Aim Renal interstitial fibrosis （RIF） is a common final pathological process in the progression of kid- hey disease. To investigate the pathogenesis of RIF and offer invaluable instructions for diagnosis and therapy...Aim Renal interstitial fibrosis （RIF） is a common final pathological process in the progression of kid- hey disease. To investigate the pathogenesis of RIF and offer invaluable instructions for diagnosis and therapy treat- 1 ment of RIF. Method： H NMR based-metabolomics study on targeted kidney tissue of RIF rats induced by uni- lateral ureteral obstruction was conducted combined with multivariate data analysis to characterize the alteration of endogenous metabolites and elucidate the molecular mechanism of RIF. Results The combination of a variety of statistical methods was used to screen out 14 potential significantly changed metabolites, including increased levels of lactate, methionine, aspartate, allantoin, uracil, 3-HB and decreased levels of TMAO, leucine, valine, lysine, adenosine, adenine, tyrosine and phenylalanine in the left kidney of UUO rats, compared with SO rats. To gain ad- ditional insight about the relationship between metabolites, they were mapped to KEGG IDs and built compound network by Metscape reflecting the complex pathology and providing evidence for the involvement of such processes as altered amino acid metabolism, adenine metabolism, energy metabolism, osmolyte change and induced oxidative stress. In addition, we have explored the morphology and size, calculated the degree of fibrosis based on altered differential metabolites, and speculated the probable causes of moderate RIF of contralateral kidneys to help to un- derstand the disease, which was also supported by serum biochemistry and kidney histopathology results. In addi- tion, the correlation analysis of the pathological parameters （ clinical chemistry, histological and immunohistochem- istry results） with the significantly changed differential metabolites responsible for the cluster （different groups） was also performed. Conclusion Our work shows that target tissue metabolomics analysis can be used as a power-ful tool to gain a better understanding of the mechanism of the disease and provide a novel insight in the pathogene- sis of RIF.展开更多
文摘Objective:To evaluate the predictive value of the neutrophil⁃to⁃lymphocyte ratio(NLR)and the systemic immune⁃inflammation index(SII)in predicting patients with anti⁃melanoma differentiation⁃associated gene 5⁃positive(anti⁃MDA5+)dermatomyositis(DM)develop into the rapidly progressive interstitial lung disease(RPILD).Methods:We retrospectively analyzed the clinical and laboratory data of 124 anti⁃MDA5+DM patients from the First Affiliated Hospital of Nanjing Medical University between March 2019 and September 2023.We identified independent risk factors associated with the development and mortality of RPILD with the Cox regression analysis,and determined the optimal cut⁃off values for predicting adverse outcomes with the receiver operating characteristic(ROC)curve analysis.Results:Among the 124 patients,36 patients(29.03%)developed RPILD,and 39 patients(31.45%)died during the follow⁃up period.The results of multivariate Cox regression analysis showed that the elevated NLR was an independent risk factor for RPILD development,while the elevated SII expression was independently associated with the increased mortality of RPILD.Based on the ROC curve analysis,NLR>6.12 was a predictor for RPILD,and SII>875.79 was associated with increased mortality risk of RPILD.Conclusion:Both NLR and SII are accessible,cost⁃effective,and reliable prognostic indicators for the prognosis of patients with anti⁃MDA5^(+)DM,providing a valuable guidance for clinical management and risk stratification of the disease.
文摘Aim Renal interstitial fibrosis （RIF） is a common final pathological process in the progression of kid- hey disease. To investigate the pathogenesis of RIF and offer invaluable instructions for diagnosis and therapy treat- 1 ment of RIF. Method： H NMR based-metabolomics study on targeted kidney tissue of RIF rats induced by uni- lateral ureteral obstruction was conducted combined with multivariate data analysis to characterize the alteration of endogenous metabolites and elucidate the molecular mechanism of RIF. Results The combination of a variety of statistical methods was used to screen out 14 potential significantly changed metabolites, including increased levels of lactate, methionine, aspartate, allantoin, uracil, 3-HB and decreased levels of TMAO, leucine, valine, lysine, adenosine, adenine, tyrosine and phenylalanine in the left kidney of UUO rats, compared with SO rats. To gain ad- ditional insight about the relationship between metabolites, they were mapped to KEGG IDs and built compound network by Metscape reflecting the complex pathology and providing evidence for the involvement of such processes as altered amino acid metabolism, adenine metabolism, energy metabolism, osmolyte change and induced oxidative stress. In addition, we have explored the morphology and size, calculated the degree of fibrosis based on altered differential metabolites, and speculated the probable causes of moderate RIF of contralateral kidneys to help to un- derstand the disease, which was also supported by serum biochemistry and kidney histopathology results. In addi- tion, the correlation analysis of the pathological parameters （ clinical chemistry, histological and immunohistochem- istry results） with the significantly changed differential metabolites responsible for the cluster （different groups） was also performed. Conclusion Our work shows that target tissue metabolomics analysis can be used as a power-ful tool to gain a better understanding of the mechanism of the disease and provide a novel insight in the pathogene- sis of RIF.
