Evidence map›Paper›PMID 24906381›Full record

ArticleJournal of translational medicine2014

Metabolomics of Ramadan fasting: an opportunity for the controlled study of physiological responses to food intake.

Sweety Mathew, Susanne Krug, Thomas Skurk, Anna Halama, Antonia Stank, Anna Artati, Cornelia Prehn, Joel A Malek, Gabi Kastenmüller, Werner Römisch-Margl and 3 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06878781 (Standardized Meals With Different Macronutrient Ratios on the Postprandial Metabolome and Metabolic Flexibility), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT06878781 narecruitingnot on this mapstarted 2024, after this paper: background citation

Standardized Meals With Different Macronutrient Ratios on the Postprandial Metabolome and Metabolic Flexibility

TypeinterventionalSponsorInstituto Nacional de Medicina GenomicaRan2024 to 2026Enrolled300ConditionsFasting, Postprandial Hyperglycemia, Lipid Metabolism Disorders, Glucose Metabolism DisordersArmsHigh carbohydrate challenge, High lipid challenge, High proteinchallenge
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Metabolomics of Ramadan fasting and associated risk of chronic diseases.The American journal of clinical nutrition · 2024
    Observational
  6. Adverse cardiovascular and metabolic perturbations among older women: 'fat-craving' hearts.Clinical research in cardiology : official journal of the German Cardiac Society · 2023
    Article
  7. Serum Starvation Accelerates Intracellular Metabolism in Endothelial Cells.International journal of molecular sciences · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Amino Acid Catabolism in Alzheimer's Disease Brain: Friend or Foe?Oxidative medicine and cellular longevity · 2017
    Review
  16. Review
  17. Comparing metabolite profiles of habitual diet in serum and urine.The American journal of clinical nutrition · 2016
    Article
  18. Article
  19. 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

13 authors.

Sweety Mathew
Susanne Krug
Thomas Skurk
Anna Halama
Antonia Stank
Anna Artati
Cornelia Prehn
Joel A Malek
Gabi Kastenmüller
Werner Römisch-Margl
Jerzy Adamski
Hans Hauner
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medical College - Qatar, Doha, Qatar. karsten@suhre.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput screening techniques that analyze the metabolic endpoints of biological processes can identify the contributions of genetic predisposition and environmental factors to the development of common diseases. Studies applying controlled physiological challenges can reveal dysregulation in metabolic responses that may be predictive for or associated with these diseases. However, large-scale epidemiological studies with well controlled physiological challenge conditions, such as extended fasting periods and defined food intake, pose logistic challenges. Culturally and religiously motivated behavioral patterns of life style changes provide a natural setting that can be used to enroll a large number of study volunteers. Here we report a proof of principle study conducted within a Muslim community, showing that a metabolomics study during the Holy Month of Ramadan can provide a unique opportunity to explore the pre-prandial and postprandial response of human metabolism to nutritional challenges. Up to five blood samples were obtained from eleven healthy male volunteers, taken directly before and two hours after consumption of a controlled meal in the evening on days 7 and 26 of Ramadan, and after an over-night fast several weeks after Ramadan. The observed increases in glucose, insulin and lactate levels at the postprandial time point confirm the expected physiological response to food intake. Targeted metabolomics further revealed significant and physiologically plausible responses to food intake by an increase in bile acid and amino acid levels and a decrease in long-chain acyl-carnitine and polyamine levels. A decrease in the concentrations of a number of phospholipids between samples taken on days 7 and 26 of Ramadan shows that the long-term response to extended fasting may differ from the response to short-term fasting. The present study design is scalable to larger populations and may be extended to the study of the metabolic response in defined patient groups such as individuals with type 2 diabetes.

Indexed as

EatingFastingIslamMetabolomicsHumans

Identifiers

PMID24906381
PMCPMC4063233

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Registered trials

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.