<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bhat, Shweta</style></author><author><style face="normal" font="default" size="100%">Jagadeeshaprasad, Mashanipalya G.</style></author><author><style face="normal" font="default" size="100%">Patil, Yugendra R.</style></author><author><style face="normal" font="default" size="100%">Shaikh, Mahemud L.</style></author><author><style face="normal" font="default" size="100%">Regin, Bhaskaran S.</style></author><author><style face="normal" font="default" size="100%">Mohan, Viswanathan</style></author><author><style face="normal" font="default" size="100%">Giri, Ashok P.</style></author><author><style face="normal" font="default" size="100%">Balasubramanyam, Muthuswamy</style></author><author><style face="normal" font="default" size="100%">Boppana, Ramanamurthy</style></author><author><style face="normal" font="default" size="100%">Kulkarni, Mahesh J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proteomic insight reveals elevated levels of albumin in circulating immunecomplexes in diabetic plasma</style></title><secondary-title><style face="normal" font="default" size="100%">Molecular &amp; Cellular Proteomics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JUN</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">6</style></number><publisher><style face="normal" font="default" size="100%">AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC</style></publisher><pub-location><style face="normal" font="default" size="100%">9650 ROCKVILLE PIKE, BETHESDA, MD 20814-3996 USA</style></pub-location><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">2011-2020</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A Hyperglycemic condition in diabetes promotes formation of advanced glycation end products, which are known to elicit immune response and form complexes with immunoglobulins called circulating immune complexes. To investigate the involvement of advanced glycation end product (AGE)-modified proteins in the elicitation of an immune response, circulating immune complexes were isolated and proteins associated were identified and characterized. Label-free-based mass spectrometric analysis of circulating immune complexes in clinical plasma of prediabetic, newly diagnosed diabetes, and diabetic microalbuminurea revealed elevated levels of serum albumin in the circulating immune complexes, which were also observed to be AGE modified. Further, to examine the role of glycation, circulating immune complexeswere analyzed in the streptozotocin-induced diabetic mice treated with or without aminoguanidine, a prototype glycation inhibitor. Mass spectrometric analysis of circulating immune complexes showed elevated levels of serum albumin in plasma from diabetic mice over that of control animals. Aminoguanidine-treated diabetic mice displayed decreased AGE modification of plasma albumin, accompanied by a reduced level of albumin in the circulating immune complexes. In addition, elevated levels of proinflammatory cytokines such as IL-1b, IL-2, and TNF-alpha were observed in diabetes, which were reduced with aminoguanidine treatment, suggesting the involvement of glycation in the immune response.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;</style></custom3><custom4><style face="normal" font="default" size="100%">5.912</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Misra, Anamika</style></author><author><style face="normal" font="default" size="100%">Chakrabarti, Sankha S.</style></author><author><style face="normal" font="default" size="100%">Gambhir, Indrajeet S.</style></author><author><style face="normal" font="default" size="100%">Baghel, Meghraj S.</style></author><author><style face="normal" font="default" size="100%">Patil, Yugendra R.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Cerebrospinal fluid protein profiles in alzheimer's dementia patients: a bioinformatic approach</style></title><secondary-title><style face="normal" font="default" size="100%">Annals of Indian Academy of Neurology </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><volume><style face="normal" font="default" size="100%">26</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">4</style></issue><work-type><style face="normal" font="default" size="100%">Letter</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;
	Foreign&lt;/p&gt;
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	1.7&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Patil, Yugendra R.</style></author><author><style face="normal" font="default" size="100%">Tiwari, Shalbha</style></author><author><style face="normal" font="default" size="100%">Momin, Abdulrahaman A.</style></author><author><style face="normal" font="default" size="100%">Unnikrishnan, A. G.</style></author><author><style face="normal" font="default" size="100%">Kulkarni, Mahesh J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Autoantibodies against Nε-carboxymethyl lysine and methylglyoxal modified albumin are associated with cardiovascular risk in type 2 diabetes</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Diabetes in Developing Countries</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">AGE</style></keyword><keyword><style  face="normal" font="default" size="100%">Atherosclerosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Diabetes</style></keyword><keyword><style  face="normal" font="default" size="100%">Glycation</style></keyword><keyword><style  face="normal" font="default" size="100%">Immune response</style></keyword><keyword><style  face="normal" font="default" size="100%">ROC</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">DEC</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">45</style></volume><pages><style face="normal" font="default" size="100%">1104-1110</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	{Background Albumin is an abundant plasma protein which gets modified with advanced glycation end products (AGEs) predominantly in diabetic condition. AGE modification induces immune response and autoantibodies are generated which play an important role in disease pathology. Objective This study aimed to illustrate the role of autoantibodies against N epsilon-carboxymethyl lysine (CML) and methylglyoxal (MG) modified albumin in diabetic cardiovascular complications. MethodsType-2 diabetes subjects were enrolled and further grouped into stress test positive or stress test negative based on treadmill stress test (TMT). Autoantibody titer was quantified by ELISA assay for CML-modified albumin (stress test positive&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
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	0.8&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Patil, Yugendra R.</style></author><author><style face="normal" font="default" size="100%">Tiwari, Shalbha</style></author><author><style face="normal" font="default" size="100%">Unnikrishnan, A. G.</style></author><author><style face="normal" font="default" size="100%">Kulkarni, Mahesh J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proteome profile of stress test assessed cardiovascular disease risk-prone diabetic subjects</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Cardiovascular Translational Research</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cardiovascular disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Diabetes</style></keyword><keyword><style  face="normal" font="default" size="100%">Multiple reaction monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">Plasma markers</style></keyword><keyword><style  face="normal" font="default" size="100%">Proteome profile</style></keyword><keyword><style  face="normal" font="default" size="100%">Quantitative mass spectrometry</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">AUG</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">18</style></volume><pages><style face="normal" font="default" size="100%">960-969</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	Cardiovascular disease (CVD) is the leading cause of death in the diabetic population. There is a need for specific predictive markers to assess CVD risk. The present study explored the plasma proteome profile of treadmill test (TMT) assessed diabetic stress test positive (DSTP) and diabetic stress test negative (DSTN) subjects by performing a SWATH-MS-based label-free quantitative mass spectrometry approach to identify differentially expressed proteins (DEPs). CVD-relevant DEPs were further validated using a targeted mass spectrometry approach (MRM-HR). It was observed that CO4B, PON1 and LUM exhibited considerable differential expression in both the MS approaches, and ROC analysis showed significant AUC (0.97, 0.79 and 0.77, respectively). Overall, the present study reports these proteins as potential alternative markers for TMT in assessing CVD risk. These markers can possibly overcome the limitations of TMT with further validation in the large cohort.Graphical AbstractAn overview of experimental approaches used in the current study. The study design depicts diabetic subjects assessed for cardiovascular risk by TMT or stress test. The experimental design shows the use of the SWATH-MS approach to identify differentially expressed proteins and validate CVD-related proteins with targeted MS approaches such as MRM-HR. Finally, CO4B, PON1 and LUM exhibited significant AUC in ROC analysis, indicating their potential marker capabilities to predict CVD in diabetic subjects.&lt;/p&gt;
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	Foreign&lt;/p&gt;
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	2.9&lt;/p&gt;
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