Cited by 239Diet and metabolism studiesDietary Effects on HealthDiabetes Management and Research

Nutritional ketosis for weight management and reversal of metabolic syndrome

Open access
Gershuni, Victoria M., Yan, Stephanie L., Medici, Valentina·2018·Current Nutrition Reports

Abstract

Purpose of review The goal of this paper is to review current literature on nutritional ketosis within the context of weight management and metabolic syndrome, namely, insulin resistance, lipid profile, cardiovascular disease risk, and development of non-alcoholic fatty liver disease. We provide background on the mechanism of ketogenesis and describe nutritional ketosis.Recent findings Nutritional ketosis has been found to improve metabolic and inflammatory markers, including lipids, HbA1c, high-sensitivity CRP, fasting insulin and glucose levels, and aid in weight management. We discuss these findings and elaborate on potential mechanisms of ketones for promoting weight loss, decreasing hunger, and increasing satiety. Humans have evolved with the capacity for metabolic flexibility and the ability to use ketones for fuel. During states of low dietary carbohydrate intake, insulin levels remain low and ketogenesis takes place. These conditions promote breakdown of excess fat stores, sparing of lean muscle, and improvement in insulin sensitivity.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s13668-018-0235-0

Cites

77 of 77 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

1 of the 78 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [1]Obesity and Overweight Fact Sheet Vol. 2018 (World Health Organization, 2017).

Cited by

Sorted by citations

Authors
Gershuni, V. M., Yan, S. L., & Medici, V.
Affiliations
  • Hospital of the University of Pennsylvania (US)
  • University of California, Davis (US)
Corresponding author
Gershuni, Victoria M.
Venue
Current Nutrition Reports
Published
2018-08-20
Volume
7
Issue
3
Pages
97-106
ISSN
2161-3311 (ISSN-L)
OpenAlex
W2888188466
Cited by
239
References
78
Citations by year
2026: 15 · 2025: 37 · 2024: 40 · 2023: 40 · 2022: 33 · 2021: 34 · 2020: 32 · 2019: 8
FWCI
2.43
Type
journal article
Language
en
Open access
Locations
  • Current Nutrition Reports (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Institutes of Health (TL1TR001880)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Physiology › Diet and metabolism studies
  • Health Sciences › Medicine › Physiology › Dietary Effects on Health
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
nutritional ketosis, weight management, weight loss, metabolic syndrome, insulin resistance, ketogenesis, lipid profile, cardiovascular risk, non-alcoholic fatty liver disease, HbA1c, C-reactive protein, satiety, hunger, metabolic flexibility, low-carbohydrate diet, fat oxidation
MeSH terms
Humans, Obesity, Weight Loss, Metabolic Syndrome, Diet, Ketogenic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review