Evidence map›Paper›PMID 31365463›Full record

ReviewCurrent opinion in clinical nutrition and metabolic care2019

Should we consider subcellular compartmentalization of metabolites, and if so, how do we measure them?

Kathryn E Wellen, Nathaniel W Snyder

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in clinical nutrition and metabolic care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Organelle Communication with the Nucleus.Results and problems in cell differentiation · 2024
    Review
  9. Article
  10. Vitamin BScience advances · 2023
    Article
  11. Article
  12. Review
  13. Review
  14. Acetyl-CoA metabolism in cancer.Nature reviews. Cancer · 2023
    Review
  15. Video-rate Raman-based metabolic imaging by Airy light-sheet illumination and photon-sparse detection.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Review
  17. Nutritional Epigenetics in Cancer.Advances in nutrition (Bethesda, Md.) · 2022
    Review
  18. Review
  19. Review
  20. 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

2 authors at 2 institutions in 1 country.

Kathryn E WellenDepartment of Cancer Biology.
Nathaniel W SnyderA.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA.
Drexel University · USUniversity of Pennsylvania · US

Funding

Acetyl-CoA metabolism and nutrient sensing in adipocytesR01DK116005 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GUERTIN, DAVID A, WELLEN, KATHRYN ELAINE · 2019 to 2022
$2.0M
Defining an acetyl-CoA sensing mechanism as a form of inter-organelle communication in cancerR01CA228339 · NCI · UNIVERSITY OF PENNSYLVANIA · PI WELLEN, KATHRYN ELAINE · 2018 to 2022
$1.9M
Quantification of compartmentalized metabolism in eukaryotic systemsR01GM132261 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI SNYDER, NATHANIEL W. · 2019 to 2023
$1.8M
Metabolism of propionic acidR03HD092630 · NICHD · DREXEL UNIVERSITY · PI SNYDER, NATHANIEL W. · 2017 to 2018
$157k
NCI NIH HHS R01 CA228339NICHD NIH HHS R03 HD092630NIDDK NIH HHS R01 DK116005NIGMS NIH HHS R01 GM132261
6 · The paper itself

Abstract

purpose of reviewTo examine the consequences of metabolism compartmentalized at the subcellular level, provide prototypical examples of compartmentalized metabolism, and describe methods to examine compartmentalized metabolism. RECENT

findingsProgress in metabolomics and isotope tracing has underscored the importance of subcellular compartments of metabolism. The discovery of biological effects of metabolites as bioenergetic intermediates, anabolic building blocks, signaling mediators, and effectors in posttranslation modifications of proteins and nucleic acids have highlighted the role of compartmentalization in determining metabolic fate. Recent advances in both direct and indirect methods to quantify compartmentalized metabolism have improved upon historical approaches. Genetically encoded metabolite sensors, chemical probes, immunoaffinity purification, and compartment-resolved metabolic modeling have all been recently applied to study compartmentalization. SUMMARY: Accurate measurement of metabolites in distinct subcellular compartments is important for understanding and pharmacologically targeting metabolic pathways in diverse disease contexts, including cancer, diabetes, heart failure, obesity, and regulation of the immune system. Direct and indirect approaches to quantify compartmentalized metabolism are advancing rapidly. Yet, major challenges remain in the generalizability, rigor, and interpretation of data from the available methods to quantify compartmentalized metabolism.

Indexed as

Intracellular SpaceAnimalsCell CompartmentationIsotope LabelingMetabolic Networks and PathwaysMetabolomicsMiceMitochondria

Identifiers

PMID31365463
PMCPMC6824478
OpenAlexW2965393787

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.