Evidence map›Paper›PMID 29110177›Full record

ReviewJournal of inherited metabolic disease2018

Role of protein carbonylation in diabetes.

Markus Hecker, Andreas H Wagner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of inherited metabolic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 91 citations in OpenAlex.

  1. Review
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  6. Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  17. A Review ofMolecules (Basel, Switzerland) · 2023
    Review
  18. Article
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  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 1 institution in 1 country.

Markus HeckerDepartment of Cardiovascular Physiology, Heidelberg University, Im Neuenheimer Feld 326, 69120, Heidelberg, Germany.
Andreas H WagnerDepartment of Cardiovascular Physiology, Heidelberg University, Im Neuenheimer Feld 326, 69120, Heidelberg, Germany. a.wagner@physiologie.uni-heidelberg.de.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a metabolic disease characterized by, among others, elevated blood glucose levels. Hyperglycaemia as well as enhanced levels of glucose-derived reactive metabolites contribute to the development of diabetic complications partly via increased generation of reactive oxygen species (ROS). ROS are not only part of signaling pathways themselves but also lead to carbonylation of particular amino acid side chains by direct metal-catalyzed oxidation. In addition, carbonyl groups can be introduced into proteins indirectly by non-oxidative covalent adduction of reactive carbonyl species generated by the oxidation of lipids or carbohydrates. Both direct and indirect carbonylation mechanisms may affect protein conformation, activity, and function. Herein we introduce the different mechanisms of the carbonylation reaction, discuss degradation mechanisms, and the fate of proteins modified this way and how the overall degree of carbonylation affects protein homeostasis and function differently. The role of protein carbonylation in metabolic control systems and cell signaling are also summarized. Finally, current diagnostic and antioxidant therapeutic options in diabetes are discussed.

Indexed as

Energy MetabolismOxidative StressProtein CarbonylationAnimalsAntioxidantsBlood GlucoseDiabetes MellitusHumansHypoglycemic AgentsProteolysisReactive Oxygen SpeciesAntioxidantsBlood GlucoseHypoglycemic AgentsReactive Oxygen SpeciesMethylglyoxalPost-translational modificationProtein carbonylationReactive oxygen speciesRedox signaling

Identifiers

PMID29110177
OpenAlexW2767270761

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.