<?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%">Patil, Gouri V.</style></author><author><style face="normal" font="default" size="100%">Joshi, Rakesh S.</style></author><author><style face="normal" font="default" size="100%">Kazi, Rubina S.</style></author><author><style face="normal" font="default" size="100%">Kulsange, Shabda E.</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%">Possible role of glycation in the regulation of amyloid beta precursor protein processing leading to amyloid beta accumulation</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Hypotheses</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Alpha-secretase</style></keyword><keyword><style  face="normal" font="default" size="100%">Alzheimer `s disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Amyloid-beta</style></keyword><keyword><style  face="normal" font="default" size="100%">Amyloid-beta protein precursor</style></keyword><keyword><style  face="normal" font="default" size="100%">Beta-secretase</style></keyword><keyword><style  face="normal" font="default" size="100%">Diabetes</style></keyword><keyword><style  face="normal" font="default" size="100%">glucose</style></keyword><keyword><style  face="normal" font="default" size="100%">Glycation</style></keyword><keyword><style  face="normal" font="default" size="100%">Type-3 diabetes</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">SEP</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">142</style></volume><pages><style face="normal" font="default" size="100%">109799</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Alzheimer's disease (AD) is one of the most common forms of neurodegenerative diseases amongst the aged population. The disease is multifactorial, and diabetes has been considered as one of the major risk factors for the development of AD. Chronic hyperglycemic condition in diabetes promotes non-enzymatic protein modification by glucose termed as glycation, which affects protein structure and function. Previous studies have shown that many of the enzymes, including proteases, are affected by glycation. Conversely, glycated proteins are known to become resistant to protease action. In these hypotheses, we have extended these two concepts to the regulation of amyloid-beta protein precursor (A beta PP) by secretases leading to amyloid-beta (Af3) accumulation. The first hypothesis deals with the glycation of alpha-secretases leading to its reduced activity, while in the second hypothesis, A beta PP glycation may prevent a-secretases action, rendering its processing by beta secretase. As diabetes is a risk factor for the development of AD, either or both these pathways may operate, leading to the manifestation of AD.&lt;/p&gt;
</style></abstract><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;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;1.375&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%">Tammara, Vaishnavi</style></author><author><style face="normal" font="default" size="100%">Das, Atanu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Decoding the relationship between alzheimer's disease and type-2 diabetes via the protein aggregation prism</style></title><secondary-title><style face="normal" font="default" size="100%">ACS Chemical Neuroscience</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">amylin</style></keyword><keyword><style  face="normal" font="default" size="100%">Amyloid-beta</style></keyword><keyword><style  face="normal" font="default" size="100%">liquid-liquidphase separation</style></keyword><keyword><style  face="normal" font="default" size="100%">Oligomer</style></keyword><keyword><style  face="normal" font="default" size="100%">self vs cross-aggregation</style></keyword><keyword><style  face="normal" font="default" size="100%">unseeded vs seeded aggregation</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%">16</style></volume><pages><style face="normal" font="default" size="100%">3003-3019</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	Alzheimer's disease (AD) and type-2 diabetes (T2D) are two fatal human diseases and have been linked to the aberrant aggregation of two distinct peptides, amyloid-beta (A beta) and human islet amyloid polypeptide (hIAPP), respectively. These two peptide aggregates, even with distal deposition sites (brain and pancreas), act as mutual beneficiaries. We here unveiled the crosstalk in a self-consistent fashion using atomistic simulations by comparing the kinetics and thermodynamics of self- and cross-aggregations of A beta(42) and hIAPP and their modulations by preformed fibrillar templates. Templates (specifically hIAPP) generally accelerate aggregation, alter the relative order of aggregation rates (cross-aggregation &amp;gt; A beta self-aggregation &amp;gt; hIAPP self-aggregation for nontemplated and hIAPP self-aggregation &amp;gt; cross-aggregation &amp;gt; A beta self-aggregation for templated), and flip the mutual impact (hIAPP aggravates A beta aggregation in nontemplated and the reverse in templated). Higher instances of breaking larger aggregates and longer residence times of smaller aggregates decelerate aggregation, whereas interpeptide electrostatics (universal) and hydrogen bonds (templated) assist it. However, the equilibrium aggregability pattern contradicts kinetic rank-ordering, as A beta displays a higher aggregability than hIAPP, templates increase aggregability for both peptides, and A beta's self-aggregability supersedes cross-aggregability, which further surpasses hIAPP's self-aggregability. The equilibrium ensembles encompass polymorphic, nonfibrillar oligomers having substantially reduced alpha-helicity and slight beta-propensity, with both parallel and antiparallel interpeptide orientations, primarily stabilized by electrostatics. A higher equilibrium aggregability means a greater helix-breaking capacity, a bias toward parallel orientation, and a lesser structural polymorphism. Water expulsion from peptide surroundings and distortion of water tetrahedrality prove that aggregation follows the liquid-liquid phase separation (LLPS) model.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">15</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;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;4.0&lt;/p&gt;
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