Evidence map›Paper›PMID 36164307›Full record

ArticleData in brief2022

Tandem mass tag proteomic and untargeted metabolomic profiling reveals altered serum and CSF biochemical datasets in iron deficient monkeys.

Brian J Sandri, Jonathan Kim, Gabriele R Lubach, Eric F Lock, Candace Guerrero, LeeAnn Higgins, Todd W Markowski, Pamela J Kling, Michael K Georgieff, Christopher L Coe and 1 more

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

11 authors at 2 institutions in 1 country.

Brian J SandriDivision of Neonatology, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
Jonathan KimDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Gabriele R LubachHarlow Center for Biological Psychology, University of Wisconsin, Madison, WI, USA.
Eric F LockDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Candace GuerreroDepartment of Biochemistry, Molecular Biology, & Biophysics, University of Minnesota, Minneapolis, Minnesota, USA.
LeeAnn HigginsDepartment of Biochemistry, Molecular Biology, & Biophysics, University of Minnesota, Minneapolis, Minnesota, USA.
Todd W MarkowskiDepartment of Biochemistry, Molecular Biology, & Biophysics, University of Minnesota, Minneapolis, Minnesota, USA.
Pamela J KlingDivision of Neonatology, Department of Pediatrics, University of Wisconsin, Madison, WI, USA.
Michael K GeorgieffDivision of Neonatology, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
Christopher L CoeDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Raghavendra B RaoDivision of Neonatology, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
University of Minnesota · USUniversity of Wisconsin–Madison · US

Funding

STATISTICAL COREP01HD039386 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COE, CHRISTOPHER · 2001 to 2011
$14.0M
Detection and Correction of Iron Deficiency Induced Abnormal Brain MetabolismR01HD089989 · NICHD · UNIVERSITY OF MINNESOTA · PI COE, CHRISTOPHER L, GEORGIEFF, MICHAEL K. · 2017 to 2021
$2.7M
Novel Medical Food for Treating Infant Anemia and Iron Deficiency in the CNSR01HD080201 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI COE, CHRISTOPHER L · 2014 to 2018
$2.1M
Gestational Stress and Impaired Iron Homeostasis in the Young InfantR01HD057064 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI COE, CHRISTOPHER L · 2009 to 2013
$1.6M
Identifying Biomarkers from Multi-source, Multi-way DataR01GM130622 · NIGMS · UNIVERSITY OF MINNESOTA · PI LOCK, ERIC F · 2019 to 2023
$1.5M
NICHD NIH HHS P01 HD039386NICHD NIH HHS R01 HD057064NICHD NIH HHS R01 HD080201NICHD NIH HHS R01 HD089989NIGMS NIH HHS R01 GM130622
6 · The paper itself

Abstract

The effects of early-life iron deficiency anemia (IDA) extend past the blood and include both short- and long-term adverse effects on many tissues including the brain. Prior to IDA, iron deficiency (ID) can cause similar tissue effects, but a sensitive biomarker of iron-dependent brain health is lacking. To determine serum and CSF biomarkers of ID-induced metabolic dysfunction we performed proteomic and metabolomic analysis of serum and CSF at 4- and 6- months from a nonhuman primate model of infantile IDA. LC/MS/MS analyses identified a total of 227 metabolites and 205 proteins in serum. In CSF, we measured 210 metabolites and 1,560 proteins. Data were either processed from a Q-Exactive (Thermo Scientific, Waltham, MA) through Progenesis QI with accurate mass and retention time comparisons to a proprietary small molecule database and Metlin or with raw files imported directly from a Fusion Orbitrap (Thermo Scientific, Waltham, MA) through Sequest in Proteome Discoverer 2.4.0.305 (Thermo Scientific, Waltham, MA) with peptide matches through the latest Rhesus Macaque HMDB database. Metabolite and protein identifiers, p-values, and q-values were utilized for molecular pathway analysis with Ingenuity Pathways Analysis (IPA). We applied multiway distance weighted discrimination (DWD) to identify a weighted sum of the features (proteins or metabolites) that distinguish ID from IS at 4-months (pre-anemic period) and 6-months of age (anemic).

Indexed as

MultiomicsRhesus MacaqueSynaptogenesis

Identifiers

PMID36164307
PMCPMC9508431
OpenAlexW4295221241

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.