Evidence map›Paper›PMID 28845422›Full record

ReviewMicrobial cell (Graz, Austria)2017

Integrative metabolomics as emerging tool to study autophagy regulation.

Sarah Stryeck, Ruth Birner-Gruenberger, Tobias Madl

Open access · goldAbstract readReview
In one paragraph

Review in Microbial cell (Graz, Austria), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
1.4field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Guideline
  2. Article
  3. An NMR-Based Approach for Global Arginine Methylation Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Exploring the Relationship between the Gut Microbiota and Ageing: A Possible Age Modulator.International journal of environmental research and public health · 2023
    Review
  8. Article
  9. PhosphatidylethanolamineBiomolecules · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. What We Learned From Big Data for Autophagy Research.Frontiers in cell and developmental biology · 2018
    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

3 authors at 1 institution in 1 country.

Sarah StryeckInstitute of Molecular Biology and Biochemistry, Center of Molecular Medicine, Medical University of Graz, 8010 Graz, Austria.
Ruth Birner-GruenbergerResearch Unit for Functional Proteomics and Metabolic Pathways, Institute of Pathology, Medical University of Graz, 8010 Graz, Austria.
Tobias MadlInstitute of Molecular Biology and Biochemistry, Center of Molecular Medicine, Medical University of Graz, 8010 Graz, Austria.
Medical University of Graz · AT

Funding

Austrian Science Fund FWF P 28854Austrian Science Fund FWF W 1226
6 · The paper itself

Abstract

Recent technological developments in metabolomics research have enabled in-depth characterization of complex metabolite mixtures in a wide range of biological, biomedical, environmental, agricultural, and nutritional research fields. Nuclear magnetic resonance spectroscopy and mass spectrometry are the two main platforms for performing metabolomics studies. Given their broad applicability and the systemic insight into metabolism that can be obtained it is not surprising that metabolomics becomes increasingly popular in basic biological research. In this review, we provide an overview on key metabolites, recent studies, and future opportunities for metabolomics in studying autophagy regulation. Metabolites play a pivotal role in autophagy regulation and are therefore key targets for autophagy research. Given the recent success of metabolomics, it can be expected that metabolomics approaches will contribute significantly to deciphering the complex regulatory mechanisms involved in autophagy in the near future and promote understanding of autophagy and autophagy-related diseases in living cells and organisms.

Indexed as

agingautophagymass spectrometrymetabolitesmetabolomicsnuclear magnetic resonance

Identifiers

PMID28845422
PMCPMC5568430
OpenAlexW2738657490

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.