Evidence map›Paper›PMID 24423940›Full record

ReviewBiochimica et biophysica acta2014

In vivo metabolite profiling as a means to identify uncharacterized lipase function: recent success stories within the alpha beta hydrolase domain (ABHD) enzyme family.

Gwynneth Thomas, Amanda L Brown, J Mark Brown

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Mechanisms and functions of protein S-acylation.Nature reviews. Molecular cell biology · 2024
    Review
  3. Article
  4. PMEnvironmental research · 2022
    Article
  5. Article
  6. Updating Phospholipase ABiomolecules · 2020
    Review
  7. Article
  8. Review
  9. The perilipin family of lipid droplet proteins: Gatekeepers of intracellular lipolysis.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2017
    Review
  10. Article
  11. Lipoquality control by phospholipase AProceedings of the Japan Academy. Series B, Physical and biological sciences · 2017
    Review
  12. Article
  13. 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

3 authors at 2 institutions in 1 country.

Gwynneth ThomasDepartment of Pathology, Section on Lipid Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Amanda L BrownDepartment of Cellular and Molecular Medicine, Cleveland Clinic Lerner Research Institute, Cleveland, OH 44195, USA.
J Mark BrownDepartment of Cellular and Molecular Medicine, Cleveland Clinic Lerner Research Institute, Cleveland, OH 44195, USA. Electronic address: brownm5@ccf.org.
Cleveland Clinic Lerner College of Medicine · USWake Forest University · US

Funding

Integrative Lipid Metabolism, Inflammation, and Chronic DiseasesT32HL091797 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PARKS, JOHN S · 2008 to 2017
$1.8M
Mechanisms Regulating Non-biliary Fecal Sterol LossR00HL096166 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BROWN, JONATHAN MARK · 2011 to 2013
$733k
NHLBI NIH HHS R00 HL096166NHLBI NIH HHS R00-HL096166NHLBI NIH HHS T32 HL091797NHLBI NIH HHS T32-HL091797
6 · The paper itself

Abstract

Genome sequencing efforts have identified many uncharacterized lipase/esterase enzymes that have potential to be drug targets for metabolic diseases such as obesity, diabetes, and atherosclerosis. However, sequence information and associated structural predictions provide only a loose framework for linking enzyme function to disease risk. We are now confronted with the challenge of functionally annotating a large number of uncharacterized lipases, with the goal of generating new therapies for metabolic diseases. This daunting challenge involves gathering not only sequence-driven predictions, but also more importantly structural, biochemical (substrates and products), and physiological data. At the center of such drug discovery efforts are accurately identifying physiologically relevant substrates and products of individual lipases, and determining whether newly identified substrates/products can modulate disease in appropriate preclinical animal model systems. This review describes the importance of coupling in vivo metabolite profiling to in vitro enzymology as a powerful means to assign lipase function in disease specific contexts using animal models. In particular, we highlight recent examples using this multidisciplinary approach to functionally annotate genes within the α/β hydrolase fold domain (ABHD) family of enzymes. These new discoveries within the ABHD enzyme family serve as powerful examples of linking novel lipase function to human disease. This article is part of a Special Issue entitled Tools to study lipid functions.

Indexed as

HydrolasesLipaseProtein Structure, TertiaryHydrolasesLipaseABHD12ABHD3ABHD6EnzymologyLysophospholipaseMass spectrometry

Identifiers

PMID24423940
PMCPMC4069229
OpenAlexW2046714921

What OpenQuestion holds

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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.