Evidence map›Paper›PMID 40421040›Full record

ArticleFrontiers in nutrition2025

The energy model of insulin resistance: A unifying theory linking seed oils to metabolic disease and cancer.

Catherine Shanahan

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Insulin Resistance and Inflammation.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Catherine ShanahanRebel Well, LLC, Orlando, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The problem of insulin resistance has exploded in recent decades, from practically nonexistent in 1950, to nearly ubiquitous today. Despite this, the dietary origins of insulin resistance remain elusive. Many have identified the Western Diet, focusing on saturated fat. However, population-scale consumption data shows that our consumption of saturated fat has remained unchanged, while our consumption of polyunsaturated fats has increased by more than 300%. This paper discusses the primary source of those polyunsaturated fatty acids (PUFA), a collection of eight chemically similar refined, bleached, and deodorized (RBD) seed oils, i.e., soy and canola, that now, together, represent the number one source of calories in the United States today, or approximately 30 percent of the average person's daily intake. The Energy Model of Insulin Resistance hypothesizes that RBD seed oil consumption can promote cellular oxidative stress, forcing cells to change their fueling strategy to reduce oxidative stress. This is accomplished by increasing aerobic glycolysis to minimize fat oxidation. Observed in both cancerous and insulin resistance cells, aerobic glycolysis is also known as the Warburg Effect. While beneficial to individual cells, at the whole-organism level, it disrupts intravascular glucose homeostasis, ultimately elevating insulin and counter-regulatory hormones (CRH) simultaneously. CRH oppose the insulin signal, leading to the phenotype of insulin resistance. In summary, the Energy Model of Insulin Resistance provides a framework for understanding that the primary metabolic deficit in people with insulin resistance may not be abnormal insulin signaling, but rather an abnormally increased metabolic demand for sugar. If correct, this would elucidate the mitochondrial origins of the Warburg Effect and suggest that avoiding RBD oils represents an important and understudied dietary strategy for addressing insulin resistance and cancer.

Indexed as

cancerinsulin resistancemitochondriaobesityoxidative stressPUFAseed oilWarburg effect

Identifiers

PMID40421040
PMCPMC12105547

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.