Evidence map›Paper›PMID 28188804›Full record

ArticleMolecular and biochemical parasitology2017

Metabolite profiling of infection-associated metabolic markers of onchocerciasis.

Sasisekhar Bennuru, Sara Lustigman, David Abraham, Thomas B Nutman

Registry-linked trialAbstract read
In one paragraph

Article in Molecular and biochemical parasitology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05687578 (A Prospective, Non-Randomized, Multi-Center Observational Study to Establish a Physical Baseline Profile for Individual Study Subjects Using Various Modalities and Identify Deviations Via Longitudinal Monitoring That May Develop Over Time), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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.

NCT05687578 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

A Prospective, Non-Randomized, Multi-Center Observational Study to Establish a Physical Baseline Profile for Individual Study Subjects Using Various Modalities and Identify Deviations Via Longitudinal Monitoring That May Develop Over Time

TypeobservationalSponsorPuer Research, LLCRan2023 to 2030Enrolled10,000ConditionsAgingArmsMeasurements Only
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Untargeted serum metabolomic profiling for early detection ofFrontiers in cellular and infection microbiology · 2022
    Article
  7. Whole blood transcriptome analysis in onchocerciasis.Current research in parasitology & vector-borne diseases · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. 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

4 authors at 3 institutions in 1 country.

Sasisekhar BennuruLaboratory of Parasitic Diseases, NIAID, NIH, Bethesda, MD, USA. Electronic address: bennurus@niaid.nih.gov.
Sara LustigmanNew York Blood Center, New York, NY, USA.
David AbrahamThomas Jefferson University, Philadelphia, PA, USA.
Thomas B NutmanLaboratory of Parasitic Diseases, NIAID, NIH, Bethesda, MD, USA.
National Institute of Allergy and Infectious Diseases · USNew York Blood Center · USThomas Jefferson University · US

Funding

Molecular Definition Of Filarial And Related Nonfilarial Genes And ProteinsZIAAI000512 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NUTMAN, THOMAS · 2009 to 2025
$9.9M
Intramural NIH HHS ZIA AI000512
6 · The paper itself

Abstract

The global efforts for onchocerciasis elimination may require additional tools (safe micro and macrofilaricidal drugs, vaccines and biomarkers) as elimination efforts move toward the "end game". Efforts toward the identification of suitable biomarkers have focused on specific protein(s) and/or nucleic acids, but metabolites present an alternative option as they have limited half-lives and are the result of combinatorial effects. In comparison to previously used methodology of LC-MS for metabolomic approaches, we used a non-targeted capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS) to analyze the serum metabolic profiles of Ov-infected and -uninfected individuals (n=20). We identified 286 known metabolites (167 in the cation mode and 119 in the anion mode). In addition, putative metabolites were identified based on KEGG (51), HMDB (37) and HMT (6) databases. One hundred ten of these putative metabolites were quantified based on peak areas of internal standards and their ability to be mapped to known pathways (primary-, carbon-, lipid-, amino acid-, nucleotide and coenzyme-metabolism). Multivariate analysis demonstrated clustering and segregation of some of these metabolites to either the infected or control groups. The levels of serotonin, hypoxanthine, pipecolic acid and inosine were significantly elevated in those with onchocerciasis, whereas the levels of glycerophosphocholine, choline and adenine were significantly lower. This non-targeted metabolomic approach provides a global view of the metabolic variations that occur during Ov infection and thus allow the discovery of key metabolites (and associated pathways) that may serve as useful biomarkers in human onchocerciasis.

Indexed as

MetabolomeBiological FactorsBiomarkersElectrophoresis, CapillaryHumansOnchocerciasisSerumSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiological FactorsBiomarkersBiomarkerMetabolomeOnchocerca volvulus

Identifiers

PMID28188804
PMCPMC5474354
OpenAlexW2586987861

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.