Evidence map›Paper›PMID 40947636›Full record

ArticleProteomics2026

Coupling CZE, Liquid-Phase Ion Mobility, to MS/MS for Quantitative Top-Down Proteomics: Revealing Significant Proteoform Differences Between Healthy and Alzheimer's Disease Brains.

Mehrdad Falamarzi Askarani, Fei Fang, Scott E Counts, Liangliang Sun

Abstract read
In one paragraph

Article in Proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. A Draft Map of E. coli Proteoforms.Analytical chemistry · 2026
    Article
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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

4 authors.

Mehrdad Falamarzi AskaraniDepartment of Chemistry, Michigan State University, East Lansing, Michigan, USA.
Fei FangDepartment of Chemistry, Michigan State University, East Lansing, Michigan, USA.
Scott E CountsDepartment of Translational Neuroscience, College of Human Medicine, Michigan State University, Grand Rapids, Michigan, USA.
Liangliang SunDepartment of Chemistry, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0001-8939-5042

Funding

Quantitative top-down proteomics of human colorectal cancer cells and tumorsR01CA247863 · NCI · MICHIGAN STATE UNIVERSITY · PI HUMMON, AMANDA B., LIU, XIAOWEN · 2021 to 2025
$1.9M
Advancing top-down proteomics with capillary electrophoresis-mass spectrometryR35GM153479 · NIGMS · MICHIGAN STATE UNIVERSITY · PI Liangliang Sun · 2024 to 2026
$1.4M
National Institute in Aging Grant P01AG014449National Institute of General Medical Sciences (NIGMS) R35GM153479NCI NIH HHS R01 CA247863NCI NIH HHS R01CA247863NIGMS NIH HHS R35 GM153479
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decline and pathological protein aggregation. Comprehensive quantitative proteomics of brain tissues from AD patients is critical for pursuing a better understanding of the molecular mechanisms that drive AD progression. Here, we present one of the first quantitative top-down proteomics (TDP) studies of postmortem cortex samples from AD patients and healthy controls to profile their proteoform differences by coupling capillary zone electrophoresis (CZE, liquid-phase ion mobility) to tandem mass spectrometry (MS/MS). We identified 3191 unique proteoforms and uncovered a drastic transformation in the proteoform profile in AD compared to healthy controls. Over 2200 proteoforms were exclusively identified in either AD or healthy control samples, and 157 proteoforms identified in both AD and control samples showed statistically significant abundance differences between the two conditions. Gene Ontology and pathway analysis of the genes associated with those proteoforms revealed broad changes in biological processes in AD brains, for example, telomere organization, substantia nigra development, amyloid fibril formation, microtubule cytoskeleton organization, progressive neurological disorders, long-term synaptic potentiation, and axogenesis. These biological processes are highly associated with the development of AD. Our study revealed a pool of potential novel proteoform biomarkers of AD in human brain samples for early diagnosis and therapy development. SUMMARY: Alzheimer's disease (AD) is a chronic neurodegenerative disease, destroying brain cells and causing thinking ability and memory to decline over time. Proteins (e.g., amyloid and tau) play key roles in the development of AD. Global and accurate protein measurement of human brains of AD patients and healthy controls will shed new light on the molecular mechanisms driving AD progression and discover new biomarkers for AD diagnosis and therapeutic development. Here, we performed the first CZE-MS/MS-based quantitative top-down proteomics (TDP) of a small cohort of AD human brain samples and healthy controls (5 AD and 5 control) to determine the differentially quantified proteoforms between the two health conditions. Over 3000 proteoforms were identified, and only about 700 proteoforms were detected in both conditions, indicating drastically different proteoform profiles between the two conditions. The differentially quantified proteoforms (e.g., tau, neurogranin, and calmodulin-1 proteoforms) are associated with biological processes relevant to AD development, for example, amyloid fibril formation, microtubule disruption, synaptic transmission, and axogenesis. The results offer a deep view of the proteoform transformation in the AD human brain compared to the healthy control, providing potential proteoform biomarkers for AD diagnosis and proteoform targets for therapeutic development.

Indexed as

Alzheimer DiseaseBrainProteomeProteomicsTandem Mass SpectrometryAgedAged, 80 and overCase-Control StudiesElectrophoresis, CapillaryFemaleHumansMaleProteomeAlzheimer's diseaseCZE‐MS/MShuman brainproteoformtau phosphorylationtop‐down proteomics

Identifiers

PMID40947636
PMCPMC13048455

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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.