Evidence map›Paper›PMID 27890796›Full record

ArticleJournal of proteomics2017

Temporal profiles of plasma proteome during childhood development.

Chih-Wei Liu, Lisa Bramer, Bobbie-Jo Webb-Robertson, Kathleen Waugh, Marian J Rewers, Qibin Zhang

Abstract read
In one paragraph

Article in Journal of proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

6 authors at 3 institutions in 1 country.

Chih-Wei LiuCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, United States.
Lisa BramerApplied Statistics & Computational Modeling, Pacific Northwest National Laboratory, Richland, WA, United States.
Bobbie-Jo Webb-RobertsonApplied Statistics & Computational Modeling, Pacific Northwest National Laboratory, Richland, WA, United States.
Kathleen WaughBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, United States.
Marian J RewersBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, United States. Electronic address: Marian.Rewers@ucdenver.edu.
Qibin ZhangCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, United States; Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, United States. Electronic address: q_zhang2@uncg.edu.
Pacific Northwest National Laboratory · USUniversity of Colorado Denver · USUniversity of North Carolina at Greensboro · US

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
UCHSC DIABETES ENDOCRINOLOGY RESEARCH CENTERP30DK057516 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI HUTTON, JOHN C · 2000 to 2010
$14.0M
Natural History of Pre-Diabetic Autoimmunity (DAISY)R01DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 1986 to 2024
$9.3M
Natural History of Pre-diabetic Autoimmunity (DAISY)R37DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2001 to 2010
$8.0M
Multiple Autoantigens/Multiple Epitopes of Type 1DMR01DK032083 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI MICHELS, AARON W · 1986 to 2025
$6.9M
GENETIC AND ENVIRONMENTAL CAUSES OF CELIAC DISEASER01DK050979 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 1995 to 2014
$4.0M
Protein Markers to T1D ProgressionR56DK099174 · NIDDK · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI ZHANG, QIBIN · 2013 to 2014
$888k
MULTIPLE AUTOANTIGENS OF PRETYPE I DMR37DK032083 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI EISENBARTH, GEORGE S · 1992 to 1999
–
NIDDK NIH HHS P30 DK057516NIDDK NIH HHS R01 DK032083NIDDK NIH HHS R01 DK032493NIDDK NIH HHS R01 DK050979NIDDK NIH HHS R37 DK032083NIDDK NIH HHS R37 DK032493NIDDK NIH HHS R56 DK099174
6 · The paper itself

Abstract

Human blood plasma proteome reflects physiological changes associated with a child's development as well as development of disease states. While age-specific normative values are available for proteins routinely measured in clinical practice, there is paucity of comprehensive longitudinal data regarding changes in human plasma proteome during childhood. We applied TMT-10plex isobaric labeling-based quantitative proteomics to longitudinally profile the plasma proteome in 10 healthy children during their development, each with 9 serial time points from 9months to 15years of age. In total, 1828 protein groups were identified at peptide and protein level false discovery rate of 1% and with at least two razor and unique peptides. The longitudinal expression profiles of 1747 protein groups were statistically modeled and their temporal changes were categorized into 7 different patterns. The patterns and relative abundance of proteins obtained by LC-MS were also verified with ELISA. To our knowledge, this study represents the most comprehensive longitudinal profiling of human plasma proteome to date. The temporal profiles of plasma proteome obtained in this study provide a comprehensive resource and reference for biomarker studies in childhood diseases. Biological significance: A pediatric plasma proteome database with longitudinal expression patterns of 1747 proteins from neonate to adolescence was provided to the research community. 970 plasma proteins had age-dependent expression trends, which demonstrated the importance of longitudinal profiling study to identify the potential biomarkers specific to childhood diseases, and the requirement of strictly age-matched clinical samples in a cross-sectional study in pediatric population.

Indexed as

Gene Expression Regulation, DevelopmentalAdolescentAge FactorsBiomarkersBlood ProteinsChildChild, PreschoolCross-Sectional StudiesHumansInfantProteomeProteomicsTranscriptomeBiomarkersBlood ProteinsProteomeChildhood developmentHuman plasma proteomePediatric proteomeTandem mass tagsTemporal proteome profilingTMT10

Identifiers

PMID27890796
PMCPMC5219852
OpenAlexW2556215787

What OpenQuestion holds

Textmetadata
LicenceTDM
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.