02850nas a2200181   4500008004100000245011200041210006900153260000800222520215600230100001602386700002002402700002902422700001402451700002102465700002502486700002502511856013202536       2019                        eng d00aGlycation of glucose sensitive lysine residues K36, K438 and K549 of albumin is associated with prediabetes0 aGlycation of glucose sensitive lysine residues K36 K438 and K549  cAUG3 a<p><span>Prediabetes is a risk factor for the development of diabetes. Early diagnosis of prediabetes may prevent the onset and progression of diabetes and its associated complications. Therefore, this study aimed at the identification of novel markers for efficient prediction of prediabetes. In this pursuit, we have evaluated the ability of glycated peptides of albumin in predicting prediabetes. Glycated peptides of in vitro glycated albumin were characterized by data dependent acquisition and parallel reaction monitoring using LC-HRMS. Amongst 14 glycated peptides characterized in vitro, four peptides, particularly, FK(CML)DLGEENFK, K(AML)VPQVSTPTLVEVSR, K(CML)VPQVSTPTLVEVSR, and K(AML)QTALVELVK, corresponding to 3 glucose sensitive lysine residues K36, K438, and K549, respectively showed significantly higher abundance in prediabetes than control. Additionally, the abundance of three of these peptides, namely K(AML)QTALVELVK, K(CML)VPQVSTPTLVEVSR and FK(CML)DLGEENFK was &gt;1.8-fold in prediabetes, which was significantly higher than the differences observed for FBG, PPG, and HbA1c. Further, the four glycated peptides showed a significant correlation with FBG, PPG, HbA1c, triglycerides, VLDL, and HDL. This study supports that glycated peptides of glucose sensitive lysine residues K36, K438 and K549 of albumin could be potentially useful markers for prediction of prediabetes. SIGNIFICANCE: Undiagnosed prediabetes may lead to diabetes and associated complications. This study reports targeted quantification of four glycated peptides particulary FK(CML)DLGEENFK, K(AML)VPQVSTPTLVEVSR, K(CML)VPQVSTPTLVEVSR, and K(AML)QTALVELVK, corresponding to 3 glucose sensitive lysine residues K36, K438 and K549 respectively by parallel reaction monitoring in healthy and prediabetic subjects. These peptides showed significantly higher abundance in prediabetes than healthy subjects, and showed significant correlation with various clinical parameters including FBG, PPG, HbA1c, and altered lipid profile. Therefore, together these four peptides constitute a panel of markers that can be useful for prediction of prediabetes.</span></p>
1 aRathore, R.1 aSonwane, B., P.1 aJagadeeshaprasad, M., G.1 aKahar, S.1 aSanthakumari, B.1 aUnnikrishnan, A., G.1 aKulkarni, Mahesh, J.  uhttps://library.ncl.res.in/content/glycation-glucose-sensitive-lysine-residues-k36-k438-and-k549-albumin-associated-prediabetes00794nas a2200193   4500008004100000022001400041245016300055210006900218260000800287300001100295490000800306100002400314700002900338700002900367700002500396700002900421700002400450856012600474       2020                        eng d  a1874-391900aProteomic analysis detects deregulated reverse cholesterol transport in human subjects with ST-segment elevation myocardial infarction (vol 222, 103796, 2020)0 aProteomic analysis detects deregulated reverse cholesterol trans  cJUL  a1038280 v2241 aDas, Apabrita, Ayan1 aChoudhury, Kamalika, Roy1 aJagadeeshaprasad, M., G.1 aKulkarni, Mahesh, J.1 aMondal, Prakash, Chandra1 aBandyopadhyay, Arun  uhttps://library.ncl.res.in/content/proteomic-analysis-detects-deregulated-reverse-cholesterol-transport-human-subjects-st03322nas a2200277   4500008004100000022001400041245013900055210006900194260000800263300001100271490000800282520236100290653002002651653001002671653000902681653002202690653003402712653001002746100002402756700002902780700002902809700002502838700002902863700002402892856012802916       2020                        eng d  a1874-391900aProteomic analysis detects deregulated reverse cholesterol transport in human subjects with ST-segment elevation myocardial infarction0 aProteomic analysis detects deregulated reverse cholesterol trans  cJUN  a1037960 v2223 a<p>Reverse cholesterol transport (RCT) plays a critical role in removing cholesterol from the arterial wall. However, very few reports directly relate chronic inflammation and RCT with atherosclerosis. The present study was undertaken to investigate clinical implications of significantly altered circulating proteins in subjects with ST-segment elevation myocardial infarction (STEMI) in the manifestation of atherosclerotic events. Using a casecontrol design, more than 2500 proteins in both STEMI and healthy control subjects were identified by Orbitrap mass spectrometer. Quantitative proteomics study revealed downregulation of 26 proteins while expression of 38 proteins increased significantly in STEMI subjects compared to healthy controls. Pathway enrichment analyses indicated that most of the identified proteins were related to chronic inflammation, atherosclerosis, and RCT. Altered proteins such as AZGP1, ABCA5, Calicin, PGLYRP2, HAVCR2 and C17ORF57 were further validated by Western blotting analysis of human plasma. Pathophysiological significance was studied using macrophage derived foam cell for their critical role in RCT which indicated the imbalance of RCT via the interaction of AZGP1 with CD36. In summary, this study revealed a unique relationship of some novel proteins apparently responsible for impaired RCT and chronic inflammation leading to atherothrombosis and myocardial infarction. Significance: In the present study we identified &gt;= 2500 unique circulating proteins in healthy control and clinically diagnosed STEMI subjects among which 423 proteins were found to be common in both the groups. We further show 64 proteins significantly different between healthy control and STEMI subjects. Proteomic analyses reveal a panel of proteins associated with atherosclerosis and STEMI. One of the proteins, AZGP1, an adipokine, is likely to act as the missing link between chronic inflammation and cholesterol transport. Deregulation of reverse cholesterol transport might be orchestrated by AZGP1, CD36, ABCA5, and PPARy in STEMI subjects. The present study employs shotgun and quantitative proteomics followed by in vitro validations demonstrating a biochemical basis for reverse cholesterol transport in the local milieu of the luminal wall of the artery which are critical for plaque build-up and atherosclerosis.</p>
10aAtherosclerosis10aAZGP110aCD3610aPlasma proteomics10aReverse cholesterol transport10aSTEMI1 aDas, Apabrita, Ayan1 aChoudhury, Kamalika, Roy1 aJagadeeshaprasad, M., G.1 aKulkarni, Mahesh, J.1 aMondal, Prakash, Chandra1 aBandyopadhyay, Arun  uhttps://library.ncl.res.in/content/proteomic-analysis-detects-deregulated-reverse-cholesterol-transport-human-subjects-st-0