Evidence map›Paper›PMID 40100766›Full record

ArticleAnalytical chemistry2025

Beyond Targeted Newborn Screening: A Nontargeted Metabolomics Workflow to Investigate Birthweight-Metabolome Correlations.

Carter K Asef, Samuel G Moore, Charles Austin Pickens, Carlos A Saavedra-Matiz, Joseph J Orsini, Konstantinos Petritis, David A Gaul, Facundo M Fernández

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. 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

8 authors.

Carter K AsefSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-5020-0583
Samuel G MoorePetit Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Charles Austin PickensDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, United States.
Carlos A Saavedra-MatizNewborn Screening Program, Wadsworth Center, New York State Department of Health, Albany, New York 12237, United States.
Joseph J OrsiniNewborn Screening Program, Wadsworth Center, New York State Department of Health, Albany, New York 12237, United States.
Konstantinos PetritisDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, United States.ORCID 0000-0001-8660-8532
David A GaulSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-9308-1895
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-0302-2534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Newborn screening (NBS) is one of the United States' largest, most successful preventative public health initiatives, improving outcomes for newborns with inborn errors of metabolism. Most disorders on the Recommended Uniform Screening Panel are screened using triple-quadrupole mass spectrometry and flow injection analysis. While these methods are sensitive and well suited for high-throughput quantitative applications, the breadth of measured analytes is limited to a relatively small number of biomarkers, which often have considerable overlaps between healthy and diseased populations. High-resolution liquid chromatography-mass spectrometry (LC-MS)-based metabolomics is now capable of profiling thousands of metabolites, making it well suited for exploratory and biomarker discovery studies. To this end, we developed a robust workflow for performing nontargeted LC-MS analysis on dried bloodspot (DBS) specimens with coverage across many metabolic pathways relevant to NBS. HILIC chromatography enabled quantitation of amino acid and acylcarnitine species while also retaining lipid species, such as lyso-phosphatidylcholines. We analyzed 810 newborn-derived DBS samples across a wide range of newborn birthweights, identifying correlations with metabolites that help to better account for the lower accuracy observed for some NBS markers (e.g., isovalerylcarnitine). Additionally, we leveraged this nontargeted workflow to capture new biomarkers and metabolic phenotypes in newborns associated with parenteral nutrition administration and maternal nicotine exposure. Two critical biomarkers were identified as useful additions to targeted screening panels:

Indexed as

Birth WeightMetabolomeMetabolomicsNeonatal ScreeningBiomarkersCarnitineChromatography, LiquidDried Blood Spot TestingHumansInfant, NewbornMass SpectrometryWorkflowBiomarkersCarnitine

Identifiers

PMID40100766
PMCPMC11966594

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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.