Evidence map›Paper›PMID 33060657›Full record

ArticleScientific reports2020

A site-specific map of the human plasma glycome and its age and gender-associated alterations.

Alexander A Merleev, Dayoung Park, Yixuan Xie, Muchena J Kailemia, Gege Xu, L Renee Ruhaak, Kyoungmi Kim, Qiuting Hong, Qiongyu Li, Forum Patel and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Histone modification clocks for robust cross-species biological age prediction and elucidating senescence regulation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Age-Related Changes in SerumBiomolecules · 2023
    Article
  5. Immunomodulatory role of glycoRNAs in the brain.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Review
  6. Measuring biological age using omics data.Nature reviews. Genetics · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Glycomic profiling and the mammalian brain.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Glycosylation and Aging.Advances in experimental medicine and biology · 2021
    Article
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

20 authors at 5 institutions in 2 countries.

Alexander A MerleevDepartment of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA.
Dayoung ParkDepartment of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Yixuan XieDepartment of Chemistry, University of California Davis, One Shields Ave, 2465 Chemistry Annex, Davis, CA, 95616, USA.
Muchena J KailemiaDepartment of Chemistry, University of California Davis, One Shields Ave, 2465 Chemistry Annex, Davis, CA, 95616, USA.
Gege XuDepartment of Chemistry, University of California Davis, One Shields Ave, 2465 Chemistry Annex, Davis, CA, 95616, USA.
L Renee RuhaakDepartment of Chemistry, University of California Davis, One Shields Ave, 2465 Chemistry Annex, Davis, CA, 95616, USA.
Kyoungmi KimDivision of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA.
Qiuting HongDepartment of Chemistry, University of California Davis, One Shields Ave, 2465 Chemistry Annex, Davis, CA, 95616, USA.
Qiongyu LiDepartment of Chemistry, University of California Davis, One Shields Ave, 2465 Chemistry Annex, Davis, CA, 95616, USA.
Forum PatelDepartment of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA.
Yu-Jui Yvonne WanDepartment of Medical Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.
Alina I MarusinaDepartment of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA.
Iannis E AdamopoulosDepartment of Internal Medicine, Division of Rheumatology, Allergy and Clinical Immunology, University of California Davis School of Medicine, Davis, CA, USA.
Nelvish N LalDepartment of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA.
Anupum MitraDivision of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA.
Stephanie T LeDepartment of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA.
Michiko ShimodaDepartment of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA.
Guillaume LuxardiDepartment of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA.
Carlito B LebrillaDepartment of Chemistry, University of California Davis, One Shields Ave, 2465 Chemistry Annex, Davis, CA, 95616, USA. cblebrilla@ucdavis.edu.
Emanual MaverakisDepartment of Dermatology, University of California Davis School of Medicine, 3301 C Street Suite 1400, Sacramento, CA, 95816, USA. emaverakis@ucdavis.edu.
University of California, Davis · USBeth Israel Deaconess Medical Center · USLeiden University Medical Center · NLShriners Hospitals for Children - Northern California · USUniversity of California Davis Medical Center · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Investigation and Development of New Therapeutic Avenues for SclerodermaDP2OD008752 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MAVERAKIS, EMANUAL M. · 2011 to 2016
$2.8M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA093373NIH HHS DP2 OD008752
6 · The paper itself

Abstract

Alterations in the human glycome have been associated with cancer and autoimmunity. Thus, constructing a site-specific map of the human glycome for biomarker research and discovery has been a highly sought-after objective. However, due to analytical barriers, comprehensive site-specific glycoprofiling is difficult to perform. To develop a platform to detect easily quantifiable, site-specific, disease-associated glycan alterations for clinical applications, we have adapted the multiple reaction monitoring mass spectrometry method for use in glycan biomarker research. The adaptations allow for highly precise site-specific glycan monitoring with minimum sample prep. Using this technique, we successfully mapped out the relative abundances of the most common 159 glycopeptides in the plasma of 97 healthy volunteers. This plasma glycome map revealed 796 significant (FDR < 0.05) site-specific inter-protein and intra-protein glycan associations, of which the vast majority were previously unknown. Since age and gender are relevant covariants in biomarker research, these variables were also characterized. 13 glycopeptides were found to be associated with gender and 41 to be associated with age. Using just five age-associated glycopeptides, a highly accurate age prediction model was constructed and validated (r

Indexed as

Age FactorsSex FactorsAdultAgedAged, 80 and overBiomarkersBlood ProteinsFemaleGlycomicsGlycopeptidesGlycosylationHealthy VolunteersHumansImmunoglobulin GLikelihood FunctionsMaleBiomarkersBlood ProteinsGlycopeptidesImmunoglobulin GPolysaccharides

Identifiers

PMID33060657
PMCPMC7567094
OpenAlexW3092933954

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.