Evidence mapPaperPMID 40604308Full record

Articlenpj metabolic health and disease2024

The effect of high-sugar feeding on rodent metabolic phenotype: a systematic review and meta-analysis.

Sophie Lucic Fisher, G Jean Campbell, Alistair Senior, Kim Bell-Anderson

Abstract read
In one paragraph

Article in npj metabolic health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Sophie Lucic FisherCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia. sophie.lucicfisher@sydney.edu.au.
G Jean CampbellCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia.
Alistair SeniorCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia.
Kim Bell-AndersonCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary sugar consumption has been linked to increased cardiometabolic disease risk, although it is unclear if this is independent of increases in body weight and adiposity. Additionally, many preclinical animal studies provide liquid sugar which more readily leads to excess consumption and weight gain, confounding any outcomes driven by high-sugar intake alone. To gain clarity on this, we conducted a systematic review and meta-analysis exclusively investigating the effect of isocaloric high-sugar, low-fat solid diet formulations containing fructose or sucrose, on cardiometabolic health in rodents. Overall, we found strong evidence that fructose and sucrose have effects on metabolic health, independent of body weight gain. High-sugar feeding, with fructose in particular, altered liver phenotype; ALT (d = 1.08; 0.66, 1.5), triglyceride content (d = 0.52; 0.25, 0.78), cholesterol (d = 0.59; 0.16, 1.03) and liver mass (d = 0.93; 0.37, 1.48), and glucose tolerance; fasting glucose (d = 0.60; 0.18, 1.01) and fasting insulin (d = 0.42; 0.07, 0.77) but not body weight or energy intake. Our review also highlights the lack of data reported on adiposity and in female rodents. This is the first meta-analysis to synthesise all current rodent solid diet high-sugar studies, while adjusting them for confounders (fat content, time spent on diet and age started on diet) and suggests that high-sugar dietary intake and composition alters metabolic health of mice regardless of weight gain.

Identifiers

PMID40604308
PMCPMC12118738

What Socratic holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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 Socratic graph.