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Record W2916348677 · doi:10.1113/jp277632

Adding more fat to a high‐fat diet only exacerbates hepatic insulin resistance

2019· letter· en· W2916348677 on OpenAlexaffabout
Kyle D. Medak, Logan K. Townsend

Bibliographic record

VenueThe Journal of Physiology · 2019
Typeletter
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsInsulin resistanceInternal medicineEndocrinologyType 2 diabetesGlucose homeostasisAdipose tissueObesityWeight lossCalorieMedicineInsulinFatty liverDiabetes mellitusGlucose uptakeKetogenic dietDisease

Abstract

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Non-alcoholic fatty liver disease (NAFLD) is one of the many clinical consequences of obesity and increases one's risk of developing diabetes ∼5-fold, and is present in up to ∼2/3 of those with type 2 diabetes (Hazlehurst et al. 2016). The current obesity epidemic necessitates an urgent need to find effective and accessible weight loss interventions. Recently, the ‘ketogenic’ diet (KD), which is the consumption of a high-fat and low carbohydrate diet (Jornayvaz et al. 2010; Roberts et al. 2017; Grandl et al. 2018), has produced weight loss and improved some markers of metabolic dysregulation in humans and rodents (Foster et al. 2003; Roberts et al. 2017). The ability of a diet so high in fat content (sometimes ∼90% of kilocalories from fat) to improve glucose tolerance is somewhat surprising, since as few as 3 days of a high-fat diet (HFD; 60% of kilocalories from fat) causes hepatic fat accumulation and insulin resistance in rats (Kraegen et al. 1991; Jornayvaz et al. 2010). The importance of this rapid hepatic fat accumulation is that early impairments in glucose homeostasis typically result from the inability of insulin to suppress hepatic glucose output, leading to decreased glucose tolerance, whereas insulin resistance in muscle and adipose tissue takes longer to develop (Rask-Madsen & Kahn, 2012). In a recently published article in The Journal of Physiology, Grandl and colleagues provide evidence that while a short-term (3 day) KD is associated with an improved fasting metabolic profile, including lower blood glucose and insulin, a KD (∼90% of kilocalories from fat, 9% of kilocalories protein, > 1% of kilocalories carbohydrate) exacerbates systemic glucose intolerance compared to a traditional Western-style high-fat diet (HFD; 60% of kilocalories from fat, 20% of kilocalories protein, 20% of kilocalories carbohydrate) (Grandl et al. 2018). Importantly, glucose intolerance was related to hepatic insulin resistance and the resulting inability of insulin to suppress hepatic glucose output (Grandl et al. 2018). The main strength of this study was the use of both [3-3H]-labelled glucose to estimate endogenous glucose production and 2-[1-14C]-labelled deoxyglucose to measure tissue-specific glucose uptake after steady-state glucose infusion had been reached during a hyperinsulinaemic euglycaemic clamp. Notably, both high (18 mU kg–1 min–1) and low (12 mU kg–1 min–1) insulin infusions were unable to suppress hepatic glucose output in KD-fed animals. At the same time, the glucose infusion rate required to maintain euglycaemia in KD-fed mice was significantly lower than in chow-fed animals, while traditional HFD was not (Grandl et al. 2018). Also, in line with these data, plasma analysis in insulin-stimulated conditions reveal an impairment in glucose tolerance, displayed by increased area under the curve (AUC) during a glucose tolerance test in KD-fed animals, more so than HFD, though both were significantly elevated. Notably, under fasted conditions, where lipid oxidation dominates substrate utilization, HFD-fed animals have increased basal insulin and HOMA-IR index compared to KD. These data suggest that animals consuming the KD are less able to withstand a glucose challenge despite appearing more metabolically healthy under fasted conditions (Grandl et al. 2018). This metabolic inflexibility was also evident in the respiratory exchange ratio where KD groups had even lower values (indicative of elevated fat oxidation) compared to traditional HFD. Research into ketogenic diets has produced conflicting and polarizing results, but Grandl et al. present evidence for impaired glucose metabolism following brief KD compared to HFD under insulin-stimulated conditions. These data, observed after only 3 days of feeding, almost completely recapitulate phenotypes observed after more prolonged KD (5 weeks) and align with others showing rapid high-fat diet-induced hepatic fat accumulation and its association with hepatic insulin resistance and increased glucose output (Kraegen et al. 1991; Jornayvaz et al. 2010). However, this paper did not measure hepatic lipid accumulation or purported mediators of lipid-induced insulin resistance, such as inflammatory markers or protein kinase C (Jornayvaz et al. 2010). As expected, massive lipid accumulation following chronic KD, at least compared to chow-fed mice (Jornayvaz et al. 2010), has previously been observed, but it would be interesting to compare KD to traditional high-fat diets directly. Unfortunately, Grandl and colleagues also did not assess hepatic insulin signalling. Thus, despite convincing evidence of impaired hepatic insulin sensitivity via multiple clamp experiments, we cannot know where along the insulin pathway these impairments may be and what is contributing to them within the liver itself. Future work should closely investigate the temporal development of hepatic insulin resistance during KD and traditional HFD to provide a more mechanistic explanation for Grandl's results (Grandl et al. 2018). Another important consideration is that liver insulin resistance in KD-fed mice was only evident under fasted insulin-stimulated conditions (Grandl et al. 2018). Rigorous KD followers would not be expected to experience oscillations in glucose-stimulated insulinaemic conditions, and thus the relevance of hepatic insulin resistance may be minimal. However, intermittent followers of the KD may be negatively impacted by the inability of insulin to suppress hepatic glucose output, as they would develop exacerbated KD-induced hepatic insulin resistance, then subsequently challenge their system with high glucose and insulin. This has implications for a human population that is likely to have poor adherence to such a stringent and restricted diet plan. Grandl's article shows that KD-associated glucose intolerance is most likely the result of increased liver glucose output rather than impaired glucose uptake by other tissues (Grandl et al. 2018). While a mechanism was not elucidated, results of the current study demonstrate that the inability of insulin to suppress hepatic glucose output is exacerbated in KD-fed animals compared to both chow-fed and traditional HFD animals (Grandl et al. 2018). Notably, systemic glucose intolerance is worsened in KD-fed animals when compared to traditional Western-style HFD. While KD is a strategy used for weight loss in obese models (Foster et al. 2003), the present study presents evidence for acute KD-induced hepatic insulin resistance. None declared. Both authors have approved the final version of the manuscript and agree to be accountable for all aspects of the work. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed. This work was partially supported by an Ontario Graduate Scholarship (LKT), Dairy Farmers of Ontario Doctoral Research Assistant (L.K.T.), and Natural Sciences and Engineering Research Council of Canada PGS-D (L.K.T.). The authors greatly appreciate the assistance of Dr David C. Wright in the writing of this editorial.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.272
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations11
Published2019
Admission routes2
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