Evidence map›Paper›PMID 24838780›Full record

ArticleJournal of inherited metabolic disease2014

Insights into human phosphoglycerate kinase 1 deficiency as a conformational disease from biochemical, biophysical, and in vitro expression analyses.

Angel L Pey, Maristella Maggi, Giovanna Valentini

Abstract read
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In one paragraph

Article in Journal of inherited metabolic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
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.

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

8 citing papers in PubMed, 24 citations in OpenAlex.

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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 2 countries.

Angel L PeyDepartment of Physical Chemistry, University of Granada, Granada, Spain, angelpey@ugr.es.
Maristella Maggi
Giovanna Valentini
University of Pavia · ITUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in genes encoding metabolic enzymes are often the cause of inherited diseases. Mutations usually affect the ability of proteins to fold properly, thus leading to enzyme loss of function. In this work, we explored the relationships between protein stability, aggregation, and degradation in vitro and inside cells in a large set of mutants associated with human phosphoglycerate kinase 1 (hPGK1) deficiency. To this end, we studied a third of the pathogenic alleles reported in the literature using expression analyses and biochemical, biophysical, and computational procedures. Our results show that most pathogenic variants studied had an increased tendency to aggregate when expressed in Escherichia coli, well correlating with the denaturation half-lives measured by thermal denaturation in vitro. Further, the most deleterious mutants show reduced stability toward chemical denaturation and proteolysis, supporting a pivotal role of thermodynamic stability in the propensity toward aggregation and proteolysis of pathogenic hPGK1 mutants in vitro and inside cells. Our strategy allowed us to unravel the complex relationships between protein stability, aggregation, and degradation in hPGK1 deficiency, which might be used to understand disease mechanisms in many inborn errors of metabolism. Our results suggest that pharmacological chaperones and protein homeostasis modulators could be considered as good candidates for therapeutic approaches for hPGK1 deficiency.

Indexed as

AllelesEnzyme StabilityEscherichia coliGenetic Diseases, X-LinkedHomeostasisHumansMetabolism, Inborn ErrorsMutationPhosphoglycerate KinaseProtein ConformationProtein DenaturationProteolysisPGK1 protein, humanPhosphoglycerate Kinase

Identifiers

PMID24838780
OpenAlexW2008400945

What OpenQuestion holds

Textmetadata
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.