Skip to content

Study · Measured the body's own peptide · 2025

2 results

Hierarchical random forest model, inflammation and oxidative stress as predictors of the atherogenic index of plasma and diabetes progression.

Jelinek HF, Muteir I, Al-Aubaidy H

Scientific reports9 Oct 2025Cited by 4 (Europe PMC)

PMID41068236 (opens in a new tab)PMCIDPMC12511548 (opens in a new tab)DOI10.1038/s41598-025-19289-9 (opens in a new tab)PepBankPUB-41068236
Read at sourcePubMedAsk about this study
Jump to 2 results

Summary

The text of this summary is not shown here, because the article license does not allow reuse. Read it at the source (opens in a new tab)

Text rights: CC BY-NC-ND. Results still quote short attributed sentences.

Results from this study2

No result from this study comes from a test of the peptide.

Natural levels measured2

These results measure the body's own peptide. Nobody was given the peptide. They are not evidence about taking it. They are left out of key results, evidence counts and charts.

  1. 01HumanEndogenous levelObservational studyOther

    In people with diabetes, the mitochondrial peptide MOTSc was a key feature in the random forest model predicting the atherogenic index of plasma.

    In plain wordsIn people with diabetes, the body's own MOTSc was one of the key markers linked to the atherogenic index of plasma.

    Peptide
    MOTS-c
    Outcome
    Not applicableMOTSc as predictor of atherogenic index of plasma in diabetes
    Study

    n: not reported in source

    Outcome group
    Mitochondrial function · Metabolic and weight

    Source sentences

    Summary
    In the diabetes group, 8-OHdG remained moderately predictive, whereas the mitochondrial peptide MOTSc and inflammatory markers (IL-1β) were key features.
    1 context sentence
    Summary · context
    Participants were divided into normal (< 5.7%), prediabetic (5.7-6.4%), and diabetic (≥ 6.5%) groups based on their HbA1c values.

    This result measures the body's own MOTS-c. Nobody was given the peptide. It is not evidence about taking it.

  2. 02HumanEndogenous levelObservational studyOther

    In normoglycemic individuals, humanin was among the top predictors of the atherogenic index of plasma in the hierarchical random forest model.

    In plain wordsIn people with normal blood sugar, natural humanin levels were among the best predictors of the atherogenic index of plasma.

    Peptide
    Humanin
    Outcome
    Not applicableHumanin as predictor of atherogenic index of plasma in normoglycemia
    Study

    n: not reported in source

    Outcome group
    Endogenous peptide levels · Metabolic and weight

    Source sentences

    Summary
    For the stratified data, mitochondrial redox markers (p66Shc, humanin) were among the top predictors in the normoglycemia group.
    2 context sentences
    Summary · context
    This study applies hierarchical random forest (HRF) machine learning to identify stage-specific predictors of AIP in normoglycemic, prediabetic, and diabetic individuals.
    Summary · context
    Participants were divided into normal (< 5.7%), prediabetic (5.7-6.4%), and diabetic (≥ 6.5%) groups based on their HbA1c values.

    This result measures the body's own Humanin. Nobody was given the peptide. It is not evidence about taking it.

AI wrote and checked these results. AI can make mistakes, so check important results against the source.

Version history

PepBank keeps every version of the data on this study. Status changes from Retraction Watch, Europe PMC and Crossref are listed with their source.

  1. Versions 4 to 18Current

    28 Oct 2026, 02:02 UTC

    The same notice was added 15 times, first on 13 Oct 2026, 21:44 UTC. The status did not change between them.

    Study results updated

  2. Version 3

    13 Oct 2026, 16:31 UTC

    Study data updated · source update from Europe PMC

  3. Version 2

    10 Oct 2026, 08:19 UTC

    Study results updated

  4. Version 1

    9 Oct 2026, 02:47 UTC

    First added · source update from Europe PMC

Subjects

Terms as the source lists them.

PepBank is a research reference. Talk to a doctor before you use any peptide.