Evidence map›Paper›PMID 26458767›Full record

ArticleMolecular genetics and metabolism2015

Quantitative acylcarnitine determination by UHPLC-MS/MS--Going beyond tandem MS acylcarnitine "profiles".

Paul E Minkler, Maria S K Stoll, Stephen T Ingalls, Janos Kerner, Charles L Hoppel

Abstract read
In one paragraph

Article in Molecular genetics and metabolism, 2015. 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
–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

19 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Screening and follow-up results of fatty acid oxidative metabolism disorders in 608 818 newborns in Jining, Shandong province.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Peroxisomes can oxidize medium- and long-chain fatty acids through a pathway involving ABCD3 and HSD17B4.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Mitochondrial Metabolism in Aging Heart.Circulation research · 2016
    Review
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

5 authors.

Paul E MinklerCenter for Mitochondrial Diseases, Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
Maria S K StollCenter for Mitochondrial Diseases, Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
Stephen T IngallsCenter for Mitochondrial Diseases, Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
Janos KernerCenter for Mitochondrial Diseases, Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
Charles L HoppelCenter for Mitochondrial Diseases, Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA; Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA. Electronic address: charles.hoppel@case.edu.

Funding

SULFHYDRYL STATUS IN THE AGING HEART: ROLE OF GLUTAREDOXINP01AG015885 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI LESNEFSKY, EDWARD J · 1998 to 2008
$8.1M
NIA NIH HHS P01 AG015885NIA NIH HHS P01AG15885
6 · The paper itself

Abstract

Tandem MS "profiling" of acylcarnitines and amino acids was conceived as a first-tier screening method, and its application to expanded newborn screening has been enormously successful. However, unlike amino acid screening (which uses amino acid analysis as its second-tier validation of screening results), acylcarnitine "profiling" also assumed the role of second-tier validation, due to the lack of a generally accepted second-tier acylcarnitine determination method. In this report, we present results from the application of our validated UHPLC-MS/MS second-tier method for the quantification of total carnitine, free carnitine, butyrobetaine, and acylcarnitines to patient samples with known diagnoses: malonic acidemia, short-chain acyl-CoA dehydrogenase deficiency (SCADD) or isobutyryl-CoA dehydrogenase deficiency (IBD), 3-methyl-crotonyl carboxylase deficiency (3-MCC) or ß-ketothiolase deficiency (BKT), and methylmalonic acidemia (MMA). We demonstrate the assay's ability to separate constitutional isomers and diastereomeric acylcarnitines and generate values with a high level of accuracy and precision. These capabilities are unavailable when using tandem MS "profiles". We also show examples of research interest, where separation of acylcarnitine species and accurate and precise acylcarnitine quantification is necessary.

Indexed as

Acetyl-CoA C-AcyltransferaseAcyl-CoA DehydrogenaseAmino Acid Metabolism, Inborn ErrorsBetaineCarbon-Carbon LigasesCarnitineChromatography, High Pressure LiquidFemaleHumansInfant, NewbornIsomerismLipid Metabolism, Inborn ErrorsMaleNeonatal ScreeningReproducibility of ResultsSensitivity and SpecificityAcetyl-CoA C-AcyltransferaseacylcarnitineAcyl-CoA DehydrogenaseBetaineCarbon-Carbon LigasesCarnitinegamma-butyrobetaineCarnitine analysisMetabolism researchNewborn screening follow-upQuantitative acylcarnitine analysisSecond-tier analysis

Identifiers

PMID26458767
PMCPMC5009370

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.