Evidence map›Paper›PMID 31019427›Full record

ArticleClinical proteomics2019

Deep undepleted human serum proteome profiling toward biomarker discovery for Alzheimer's disease.

Kaushik Kumar Dey, Hong Wang, Mingming Niu, Bing Bai, Xusheng Wang, Yuxin Li, Ji-Hoon Cho, Haiyan Tan, Ashutosh Mishra, Anthony A High and 4 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
12.2field-weighted citation impact, top 1% of its field
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

73 citing papers in PubMed, 134 citations in OpenAlex.

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  13. The aggregate proteome ofFrontiers in aging neuroscience · 2025
    Article
  14. Article
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  16. Review
  17. Article
  18. Article
  19. Article
  20. Plasma/Serum Proteomics based on Mass Spectrometry.Protein and peptide letters · 2024
    Review

13 more citing papers are in PubMed but not listed here.

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

14 authors at 2 institutions in 1 country.

Kaushik Kumar Dey *1Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Hong Wang *2Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Mingming Niu1Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Bing Bai1Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Xusheng Wang2Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Yuxin Li2Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Ji-Hoon Cho2Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Haiyan Tan2Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Ashutosh Mishra2Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Anthony A High2Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Ping-Chung Chen1Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Zhiping Wu1Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
Thomas G Beach3Banner Sun Health Research Institute, Sun City, AZ 85351 USA.
Junmin Peng1Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105 USA.
St. Jude Children's Research Hospital · USBanner Sun Health Research Institute · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
Multi-level Integrative Proteomics to Alzheimer's Disease PathwaysR01AG053987 · NIA · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI PENG, JUNMIN · 2016 to 2020
$2.2M
RNA splicing dysfunction in Alzheimer's diseaseR01AG047928 · NIA · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI PENG, JUNMIN · 2015 to 2019
$1.8M
NCI NIH HHS P30 CA021765NIA NIH HHS P30 AG019610NIA NIH HHS R01 AG047928NIA NIH HHS R01 AG053987NINDS NIH HHS U24 NS072026
6 · The paper itself

Abstract

backgroundBlood-based protein measurement is a routine practice for detecting biomarkers in human disease. Comprehensive profiling of blood/plasma/serum proteome is a challenge due to an extremely large dynamic range, as exemplified by a small subset of highly abundant proteins. Antibody-based depletion of these abundant proteins alleviates the problem but introduces experimental variations. We aimed to establish a method for direct profiling of undepleted human serum and apply the method toward biomarker discovery for Alzheimer's disease (AD), as AD is the most common form of dementia without available blood-based biomarkers in clinic.

methodsWe present an ultra-deep analysis of undepleted human serum proteome by combining the latest 11-plex tandem-mass-tag (TMT) labeling, exhaustive two-dimensional liquid chromatography (LC/LC) fractionation (the 1st LC: 3 h for 180 fractions, and the 2nd LC: 3 h gradient per fraction), coupled with high resolution tandem mass spectrometry (MS/MS). AD (

resultsThe TMT-LC/LC-MS/MS platform is capable of analyzing 4826 protein components (4368 genes), covering at least 6 orders of magnitude in dynamic range, representing one of the deepest serum proteome analysis. We defined intra- and inter- group variability in the AD and control groups. Statistical analysis revealed differentially expressed proteins in AD (26 decreased and 4 increased). Notably, these altered proteins are enriched in the known pathways of mitochondria, fatty acid beta oxidation, and AGE/RAGE. Finally, we set up a TOMAHAQ method to confirm the decrease of PCK2 and AK2 in our AD samples.

conclusionsOur results show an ultra-deep serum discovery study by TMT-LC/LC-MS/MS, and a validation experiment by TOMAHAQ targeted LC-MS3. The MS-based discovery and validation methods are of general use for biomarker discovery from complex biofluids (e.g. serum proteome). This pilot study also identified deregulated proteins, in particular proteins associated with mitochondrial function in the AD serum samples. These proteins may serve as novel AD candidate biomarkers.

Indexed as

Alzheimer’s diseaseBiomarkerHuman bloodMass spectrometryPlasmaProteomeProteomicsSerumTandem mass tag

Identifiers

PMID31019427
PMCPMC6472024
OpenAlexW2946202802

What OpenQuestion holds

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LicenceCC BY
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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.