On December 31, 2021, Zhang, Yu-Hang; Hoopmann, Michael R.; Castaldi, Peter J.; Simonsen, Kirsten A.; Midha, Mukul K.; Cho, Michael H.; Criner, Gerard J.; Bueno, Raphael; Liu, Jiangyuan; Moritz, Robert L.; Silverman, Edwin K. published an article.Computed Properties of 2358-84-1 The title of the article was Lung proteomic biomarkers associated with chronic obstructive pulmonary disease. And the article contained the following:
Identifying protein biomarkers for chronic obstructive pulmonary disease (COPD) has been challenging. Most previous studies have used individual proteins or preselected protein panels measured in blood samples. Mass spectrometry proteomic studies of lung tissue have been based on small sample sizes. Author used mass spectrometry proteomic approaches to discover protein biomarkers from 150 lung tissue samples representing COPD cases and controls. Top COPD-associated proteins were identified based on multiple linear regression anal. with false discovery rate (FDR) < 0.05. Correlations between pairs of COPD-associated proteins were examined Machine learning models were also evaluated to identify potential combinations of protein biomarkers related to COPD. Author identified 4,407 proteins passing quality controls. Twenty-five proteins were significantly associated with COPD at FDR < 0.05, including interleukin 33, ferritin (light chain and heavy chain), and two proteins related to caveolae (CAV1 and CAVIN1). Multiple previously reported plasma protein biomarkers for COPD were not significantly associated with proteomic anal. of COPD in lung tissue, although RAGE was borderline significant. Eleven pairs of top significant proteins were highly correlated (r > 0.8), including several strongly correlated with RAGE (EHD2 and CAVIN1). Machine learning models using Random Forests with the top 5% of protein biomarkers demonstrated reasonable accuracy (0.707) and area under the curve (0.714) for COPD prediction. Mass spectrometry-based proteomic anal. of lung tissue is a promising approach for the identification of biomarkers for COPD. The experimental process involved the reaction of Oxybis(ethane-2,1-diyl) bis(2-methylacrylate)(cas: 2358-84-1).Computed Properties of 2358-84-1
The Article related to proteome chronic obstructive pulmonary disease, biomarkers, chronic obstructive pulmonary disease, machine learning, mass spectrometry, proteomics, Mammalian Pathological Biochemistry: Respiratory Diseases and other aspects.Computed Properties of 2358-84-1
Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics