Evidence map›Paper›PMID 32240621›Full record

ReviewMolecular metabolism2020

Metabolic transcriptional memory.

Poonam Bheda

Open access · goldAbstract readReview
In one paragraph

Review in Molecular metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Obesity Disrupts CtBP2-Mediated Maintenance of Transcriptional Equilibrium in Hypothalamic Feeding Circuitry.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. Review
  4. Article
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  6. Article
  7. Review
  8. Article
  9. Article
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  11. Current Approach to the Pathogenesis of Diabetic Cataracts.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Emerging Targets in Type 2 Diabetes and Diabetic Complications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  17. Omics Analysis of Blood-Responsive Regulon inInternational journal of molecular sciences · 2021
    Article
  18. 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

1 author at 1 institution in 1 country.

Poonam BhedaInstitute of Functional Epigenetics, Helmholtz Zentrum München, Neuherberg, Germany. Electronic address: poonam.bheda@helmholtz-muenchen.de.
Helmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOrganisms can be primed by metabolic exposures to continue expressing response genes even once the metabolite is no longer available, and can affect the speed and magnitude of responsive gene expression during subsequent exposures. This "metabolic transcriptional memory" can have a profound impact on the survivability of organisms in fluctuating environments. SCOPE OF REVIEW: Here I present several examples of metabolic transcriptional memory in the microbial world and discuss what is known so far regarding the underlying mechanisms, which mainly focus on chromatin modifications, protein inheritance, and broad changes in metabolic network. From these lessons learned in microbes, some insights into the yet understudied human metabolic memory can be gained. I thus discuss the implications of metabolic memory in disease progression in humans - i.e., the memory of high blood sugar exposure and the resulting effects on diabetic complications. MAJOR

conclusionsCarbon source shifts from glucose to other less preferred sugars such as lactose, galactose, and maltose for energy metabolism as well as starvation of a signal transduction precursor sugar inositol are well-studied examples of metabolic transcriptional memory in Escherichia coli and Saccharomyces cerevisiae. Although the specific factors guiding metabolic transcriptional memory are not necessarily conserved from microbes to humans, the same basic mechanisms are in play, as is observed in hyperglycemic memory. Exploration of new metabolic transcriptional memory systems as well as further detailed mechanistic analyses of known memory contexts in microbes is therefore central to understanding metabolic memory in humans, and may be of relevance for the successful treatment of the ever-growing epidemic of diabetes.

Indexed as

Gene Expression RegulationAnimalsEscherichia coliGalactoseGene ExpressionGlucoseHumansMetabolic Networks and PathwaysMetabolismSaccharomyces cerevisiaeTranscriptional ActivationGalactoseGlucoseBistabilityChromatin modificationDiabetesGalactoseGlucoseHyperglycemiaHysteresisInositolLactoseMaltoseMetabolic memoryMetabolic networkProtein inheritanceReinduction memoryTranscriptional memory

Identifiers

PMID32240621
PMCPMC7300383
OpenAlexW3005786064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.