Evidence map›Paper›PMID 38921060›Full record

ArticleJournal of chemical information and modeling2024

Computational Investigation of Coaggregation and Cross-Seeding between Aβ and hIAPP Underpinning the Cross-Talk in Alzheimer's Disease and Type 2 Diabetes.

Xinjie Fan, Xiaohan Zhang, Jiajia Yan, Huan Xu, Wenhui Zhao, Feng Ding, Fengjuan Huang, Yunxiang Sun

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xinjie FanSchool of Physical Science and Technology, Ningbo University, Ningbo315211, China.
Xiaohan ZhangSchool of Physical Science and Technology, Ningbo University, Ningbo315211, China.
Jiajia YanSchool of Physical Science and Technology, Ningbo University, Ningbo315211, China.
Huan XuSchool of Physical Science and Technology, Ningbo University, Ningbo315211, China.
Wenhui ZhaoSchool of Physical Science and Technology, Ningbo University, Ningbo315211, China.ORCID 0000-0002-5538-8706
Feng DingDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina29634, United States.ORCID 0000-0003-1850-6336
Fengjuan HuangNingbo Institute of Innovation for Combined Medicine and Engineering (NIIME), Ningbo Medical Center Lihuili Hospital, Ningbo315211, China.
Yunxiang SunSchool of Physical Science and Technology, Ningbo University, Ningbo315211, China.ORCID 0000-0001-9799-7131

Funding

Tissue Structural and Neural Remodeling in Human Sacroiliac JointP20GM121342 · NIGMS · CLEMSON UNIVERSITY · PI Peng Chen · 2018 to 2026
$24.7M
Inhibition of Human Islet Amyloid Polypeptide AggregationR35GM145409 · NIGMS · CLEMSON UNIVERSITY · PI Feng Ding · 2022 to 2026
$2.0M
NIGMS NIH HHS P20 GM121342NIGMS NIH HHS R35 GM145409
6 · The paper itself

Abstract

The coexistence of amyloid-β (Aβ) and human islet amyloid polypeptide (hIAPP) in the brain and pancreas is associated with an increased risk of Alzheimer's disease (AD) and type 2 diabetes (T2D) due to their coaggregation and cross-seeding. Despite this, the molecular mechanisms underlying their interaction remain elusive. Here, we systematically investigated the cross-talk between Aβ and hIAPP using atomistic discrete molecular dynamics (DMD) simulations. Our results revealed that the amyloidogenic core regions of both Aβ (Aβ

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesDiabetes Mellitus, Type 2Islet Amyloid PolypeptideMolecular Dynamics SimulationHumansProtein AggregatesAmyloid beta-PeptidesIslet Amyloid PolypeptideProtein Aggregates

Identifiers

PMID38921060
PMCPMC11339732

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.