Evidence map›Paper›PMID 36516846›Full record

ArticleCell reports. Medicine2022

Distinct factors associated with short-term and long-term weight loss induced by low-fat or low-carbohydrate diet intervention.

Xiao Li, Dalia Perelman, Ariel K Leong, Gabriela Fragiadakis, Christopher D Gardner, Michael P Snyder

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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.

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

19 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Gut microbes · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Feature Interaction Detection in Big Data Through a New Choquet Integral based Deep Neural Network.Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data · 2024
    Article
  12. Article
  13. Should carbohydrate-modified diets be the first option for weight loss in people with impaired glucose metabolism? A scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2024
    Article
  14. Effects of dietary fibre on metabolic health and obesity.Nature reviews. Gastroenterology & hepatology · 2024
    Review
  15. Review
  16. Article
  17. Protein Restriction Effects on Healthspan and Lifespan in Drosophila melanogaster Are Additive With a Longevity-Promoting Diet.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  18. Article
  19. Genotype-informed nutrition counselling in clinical practice.BMJ nutrition, prevention & health · 2023
    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

6 authors.

Xiao LiDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biochemistry, Case Western University, Cleveland, OH 44106, USA; Center for RNA Science and Therapeutics, Case Western University, Cleveland, OH 44106, USA; Department of Computer and Data Sciences, Case Western University, Cleveland, OH 44106, USA. Electronic address: xiao.li9@case.edu.
Dalia PerelmanDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, USA.
Ariel K LeongDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Gabriela FragiadakisDivision of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA.
Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, USA. Electronic address: cgardner@stanford.edu.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: mpsnyder@stanford.edu.

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
A Stanford - SJSU Postdoctoral Training Program to Enhance URM TeachingK12GM088033 · NIGMS · STANFORD UNIVERSITY · PI BOOTHROYD, JOHN C · 2010 to 2016
$4.1M
Do Genotype Patterns Predict Weight Loss Success for Low Carb vs. Low Fat Diets?R01DK091831 · NIDDK · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 2012 to 2016
$3.1M
Multiomic Signatures of Microbial Metabolites Following Prebiotic Fiber Supplementation Alzheimer's supplementR01AT010232 · NCCIH · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2018 to 2021
$2.0M
NCCIH NIH HHS R01 AT010232NHLBI NIH HHS T32 HL007034NIDDK NIH HHS R01 DK091831NIGMS NIH HHS K12 GM088033
6 · The paper itself

Abstract

To understand what determines the success of short- and long-term weight loss, we conduct a secondary analysis of dietary, metabolic, and molecular data collected from 609 participants before, during, and after a 1-year weight-loss intervention with either a healthy low-carbohydrate (HLC) or a healthy low-fat (HLF) diet. Through systematic analysis of multidomain datasets, we find that dietary adherence and diet quality, not just caloric restriction, are important for short-term weight loss in both diets. Interestingly, we observe minimal dietary differences between those who succeeded in long-term weight loss and those who did not. Instead, proteomic and gut microbiota signatures significantly differ between these two groups at baseline. Moreover, the baseline respiratory quotient may suggest a specific diet for better weight-loss outcomes. Overall, the identification of these dietary, molecular, and metabolic factors, common or unique to the HLC and HLF diets, provides a roadmap for developing individualized weight-loss strategies.

Indexed as

Diet, ReducingObesityDiet, Carbohydrate-RestrictedHumansProteomicsWeight Lossdietdiet qualityindividualized weight-loss strategieslow carbohydrate dietlow fat dietmicrobiomeprecision dietsproteomeRQweight loss

Identifiers

PMID36516846
PMCPMC9798029

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.