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Characterisation of fatty acid metabolism in different insulin-resistant phenotypes by means of stable isotopes

Published online by Cambridge University Press:  19 January 2017

Ellen E. Blaak Open the ORCID record for Ellen E. Blaak [Opens in a new window]
Ellen E. Blaak*
Affiliation:
Department of Human Biology, Maastricht University, Maastricht, The Netherlands
*
Corresponding author: Prof E. E. Blaak, email e.blaak@maastrichtuniversity.nl
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Abstract

The obese insulin resistant and/or prediabetic state is characterised by systemic lipid overflow, mainly driven by an impaired lipid buffering capacity of adipose tissue, and an impaired capacity of skeletal muscle to increase fat oxidation upon increased supply. This leads to the accumulation of bioactive lipid metabolites in skeletal muscle interfering with insulin sensitivity via various mechanisms. In this review, the contribution of dietary v. endogenous fatty acids to lipid overflow, their extraction or uptake by skeletal muscle as well as the fractional synthetic rate, content and composition of the muscle lipid pools is discussed in relation to the development or presence of insulin resistance and/or an impaired glucose metabolism. These parameters are studied in vivo in man by combining a dual stable isotope methodology with [2H2]- and [U-13C]-palmitate tracers with the arterio-venous balance technique across forearm muscle and biochemical analyses in muscle biopsies. The insulin-resistant state is characterised by an elevated muscle TAG extraction, despite similar supply, and a reduced skeletal muscle lipid turnover, in particular after intake of a high fat, SFA fat meal, but not after a high fat, PUFA meal. Data are placed in the context of current literature, and underlying mechanisms and implications for long-term nutritional interventions are discussed.

Keywords

Fatty acidsInsulin resistanceSkeletal muscleDual stable isotope methodologyDietary fat quality

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Type
Conference on ‘New technology in nutrition research and practice’
Information
Proceedings of the Nutrition Society , Volume 76 , Issue 3 , August 2017 , pp. 419 - 424
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Copyright © The Author 2017 

The prevalence of overweight and overweight-related metabolic disturbances is increasing at an alarming rate. Worldwide more than 50 % of the adults is overweight (>one billion individuals) and a further 12 % (475 million) can be classified as clinically obese. Every year at least 2·8 million adults die as a result of being overweight/obese (http://www.who.int/gho/ncd/risk_factors/overweight/en). Obesity is an important risk factor for chronic metabolic diseases such as type 2 diabetes mellitus (T2DM) and CVD.

A disturbed lipid metabolism in multiple tissues, including adipose tissue, liver, skeletal muscle, gut and pancreas may play an important role in the development of insulin resistance (IR), an impaired glucose metabolism and T2DM. These disturbances, in particular an impaired adipose tissue lipid handling, may lead to systemic lipid overflow, increased circulating concentrations of NEFA and TAG and accumulation of lipids in non-adipose tissues( Reference Goossens 1 – Reference Goossens 4 ). This lipid overflow together with an impaired capacity to adjust fatty acid (FA) oxidation to FA supply in skeletal muscle (metabolic inflexibility( Reference Corpeleijn, Saris and Blaak 3 )) may cause excess fat storage in skeletal muscle, which is related to the development or worsening of IR. IR in concert with progressive β-cell failure leads to an increased blood glucose concentration in the non-diabetic range, classified as impaired fasting glucose (IFG) or impaired glucose tolerance (IGT). IFG (fasting glucose >5·6 mm/l) and IGT (2 h oral glucose tolerance test-derived glucose concentration >7·8 mm) are intermediate states in the transition from a normal glucose tolerance towards T2DM. IFG and IGT may represent distinct pathways towards T2DM, with impaired hepatic and peripheral insulin sensitivity as the predominant disorders in IFG and IGT subjects, respectively( Reference Abdul-Ghani, Jenkinson and Richardson 5 – Reference Meyer, Pimenta and Woerle 7 ). Recently, a dual-stable-isotope tracer approach was validated to study FA partitioning, the metabolic fate of dietary compared with endogenous FA and skeletal muscle FA metabolism in detail( Reference Bickerton, Roberts and Fielding 8 ). This methodology was used to describe more into detail FA partitioning and skeletal muscle FA handling in the overweight insulin-resistant and insulin-sensitive states and in IFG and IGT subjects.

Dual-stable-isotope methodology

As indicated earlier, a combination of differential stable isotope labelling of endogenous and meal-derived FA, with arteriovenous tracer and tracee concentration difference measurements across forearm muscle was used to study endogenous FA and skeletal muscle FA metabolism in detail( Reference Bickerton, Roberts and Fielding 8 ). The aim was to quantify the systemic concentration and forearm muscle uptake of FA, derived from chylomicron–TAG (labelled with [U-13C]-palmitate), VLDL–TAG (labelled endogenously with [2H2]-palmitic acid) and circulating NEFA (labelled with [2H2]-palmitic acid). On a study day, repeated blood samples were taken from the radial artery (or from a arterialised dorsal hand vein) and from the deep anticubital forearm vein (canula was placed in retrograde direction) during overnight-fasted conditions and after the ingestion of a high-fat mixed meal (2·6 MJ, 61 % of energy expenditure (E%) fat (35·5 E % saturated fat)), containing 200 mg [U-13C]-palmitate (98 % enrichment, Cambridge Isotope Laboratories, Andover MA) to label chylomicron–TAG. Subjects also received a continuous intravenous infusion of [2H2]-palmitate (97 % enrichment, Cambridge Isotope Laboratories), complexed to human albumin, which commenced 60 min before the blood sampling (0·035 µm/kg body weight per min). In parallel, skeletal muscle biopsies (m. vastus lateralis) were taken before the start of the experiment during fasting and at the end of the postprandial measurement period to determine intramuscular TAG, diacylglycerol (DAG), NEFA and phospholipid content, their degree of saturation as well the fractional synthetic rate (FSR) of TAG, DAG and phospholipid( Reference Bickerton, Roberts and Fielding 8 – Reference Jans, Konings and Goossens 12 ).

The insulin-resistant state is associated with an altered muscle lipid handling

As indicated earlier, systemic lipid overflow, which may be related to adipose tissue dysfunction and disturbances in hepatic and skeletal muscle lipid handling is associated with IR( Reference Stinkens, Goossens and Jocken 4 ). This may result in an increased supply of FA to non-adipose tissues, such as liver and skeletal muscle. Due to an impaired capacity to increase fat oxidation accordingly (metabolic inflexibility( Reference Corpeleijn, Saris and Blaak 3 )), TAG may accumulate, which is associated with skeletal muscle IR and which is already present in young lean offspring of T2DM subjects( Reference Perseghin, Scifo and De Cobelli 13 ). In line, both high-fat diets and acute intra-lipid infusions resulted in an increased skeletal muscle TAG accumulation and a concomitant development of muscle insulin resistance( Reference Stinkens, Goossens and Jocken 4 , Reference Boden, Lebed and Schatz 14 , Reference Schrauwen-Hinderling, Kooi and Hesselink 15 ). Nevertheless, several studies reported a similar muscle TAG content in obese insulin-sensitive subjects and obese T2DM subjects( Reference Schrauwen-Hinderling, Kooi and Hesselink 16 , Reference van Loon, Koopman and Manders 17 ), whilst highly insulin-sensitive athletes exhibited high muscle TAG concentrations( Reference van Loon, Koopman and Manders 17 , Reference Goodpaster, He and Watkins 18 ). These findings may be explained by a higher muscle oxidative capacity in athletes, whilst the obese insulin-resistant or diabetic state is often characterised by a reduced muscle oxidative capacity( Reference Stinkens, Goossens and Jocken 4 ). During recent years, insight has increased that a complex interplay between FA supply, fat quality, muscle lipid turnover and the subcellular composition and localisation of bioactive lipid metabolites, such as DAG, long-chain fatty acyl-CoA and ceramides, is involved in the development of skeletal muscle IR (for review see( Reference Stinkens, Goossens and Jocken 4 )).

Skeletal muscle lipid uptake

Not much is known on the contribution of dietary FA (chylomicron–TAG) and endogenous FA (NEFA and VLDL–TAG) to lipid overflow and skeletal muscle FA handling. There is controversial evidence for the notion that an increased adiposity is related to enhanced fasting, postprandial, diurnal or nocturnal NEFA concentrations( Reference Karpe, Dickmann and Frayn 19 ). Elevated TAG concentrations may be more closely associated with the insulin-resistant state, which may be ascribed to an increased hepatic VLDL–TAG production( Reference Bickerton, Roberts and Fielding 20 ) or a reduced adipose tissue TAG clearance from the circulation( Reference Riemens, Sluiter and Dullaart 21 , Reference McQuaid, Hodson and Neville 22 ). Furthermore, reduced suppression of FA spillover from TAG-derived hydrolysis across adipose tissue has been shown in obese patients with T2DM compared with healthy controls( Reference Riemens, Sluiter and Dullaart 21 ) and in insulin resistant as compared with insulin-sensitive subjects( Reference Hodson, Bickerton and McQuaid 23 ). An increase in adipose tissue NEFA output may lead to an increased hepatic VLDL production( Reference Hodson, Bickerton and McQuaid 23 ). It was demonstrated that dietary FA were preferentially taken up in skeletal muscle and adipose tissue in healthy volunteers despite the presence of a higher percentage VLDL–TAG in the circulation( Reference Bickerton, Roberts and Fielding 20 ). So far, most studies focusing on the contribution of chylomicron–TAG and endogenous FA to systemic lipid overflow and skeletal muscle lipid handling have been performed in healthy lean human subjects( Reference Bickerton, Roberts and Fielding 8 , Reference Ruge, Hodson and Cheeseman 24 ). Up to now, elevated VLDL–TAG concentrations have been reported in overweight men and women with IR( Reference Bickerton, Roberts and Fielding 20 , Reference Hodson, Bickerton and McQuaid 23 ). Additionally, in an earlier study we have shown that overweight insulin-resistant men with the metabolic syndrome show an increased forearm muscle VLDL–TAG extraction( Reference van Hees, Jans and Hul 9 ).

Recent studies compared fasting and postprandial skeletal muscle FA handling, firstly, in individuals with varying degree of IR( Reference van der Kolk, Goossens and Jocken 10 ), and, secondly, in pre-diabetic subjects with IFG and/or IGT( Reference Goossens, Moors and Jocken 11 ). In the first study, seventy-four overweight participants (males and females) were divided in two groups based on the homeostasis model assessment for IR median. In the second study, twelve subjects (males and females) with IFG and fourteen subjects with IGT (or combined IFG/IGT) were studied. In the latter study, postprandial insulin sensitivity was reduced and peripheral insulin sensitivity tended to be reduced in IGT as compared with IFG subjects. This is in line with previous studies showing impaired hepatic and peripheral IR as primary disorders in IFG and IGT subjects, respectively( Reference Abdul-Ghani, Jenkinson and Richardson 5 – Reference Meyer, Pimenta and Woerle 7 ), indicating that the development of IR may be tissue-specific and that IFG and/or IGT may represent distinct pathways towards T2DM.

In the two studies, fasting and postprandial skeletal muscle FA handling were determined by combining the forearm muscle balance technique with stable isotopes. [2H2]-palmitate was infused intravenously to label NEFA and VLDL–TAG in the circulation, whilst [U-13C]-TAG was incorporated in a high-saturated FA-mixed-meal labelling chylomicron–TAG. Skeletal muscle biopsies were taken to assess intramuscular lipid content and the FSR. Systemic fasting and postprandial chylomicron and VLDL–TAG concentrations were comparable between the more pronounced IR v. the mild-IR subjects and in the IFG v. IGT subjects. Despite similar supply, muscle VLDL–TAG extraction was elevated in the high-IR group v. the mild-IR group and in the IGT v. IFG group, indicating that this increased muscle TAG extraction is a characteristic of the more pronounced insulin-resistant state in overweight and in pre-diabetic subjects. Another study comparing insulin-resistant and control subjects using the same dual-stable-isotope methodology could not confirm the findings of an increased muscle TAG extraction in IR, despite the fact that postprandial TAG concentrations were elevated( Reference Bickerton, Roberts and Fielding 20 ). The reason for these mixed results remains to be elucidated but it is important to emphasise that both studies confirm the apparent importance of TAG metabolism in IR.

The expression and activation of muscle lipoprotein lipase (LPL) plays a major role in muscle TAG extraction. Indeed, mice studies showed that deletion of LPL reduces lipid storage and increases insulin signalling in skeletal muscle( Reference Wang, Knaub and Jensen 25 ). Additionally, muscle-specific LPL overexpression induced muscle insulin resistance( Reference Kim, Fillmore and Chen 26 ), while skeletal muscle LPL knockdown showed the reverse effect. The mechanism behind the earlier reported increased VLDL-extraction in IR remains to be elucidated, but may relate to a differential Apo composition. In a previous study, a higher ApoCII/apoCIII ratio of VLDL–TAG has been shown in diabetic patients as compared with a control group( Reference Hiukka, Fruchart-Najib and Leinonen 27 ), which may lead to a higher affinity for lipolysis by skeletal muscle LPL. Nevertheless, the significance of a differential Apo composition in skeletal muscle lipid extraction remains to be determined. Noteworthy, it cannot be excluded that these findings are not only limited to VLDL–TAG extraction, but also extend to postprandial chylomicron–TAG extraction, but that our 4 h postprandial measurement period was too short to detect any significant effect. It has been shown that dietary FA appear in the VLDL–TAG from 2 to 3 h after meal ingestion, making it difficult to separate chylomicron- and VLDL–TAG in the late postprandial phase using the current stable isotope approach( Reference Bickerton, Roberts and Fielding 8 , Reference Heath, Karpe and Milne 28 , Reference Heath, Karpe and Milne 29 ). If so, other mechanisms like an impaired inhibitory action of insulin on LPL activity( Reference Yost, Jensen and Haugen 30 ) may be an additional explanation. Indeed, in contrast to adipose tissue and liver, insulin infusion decreased skeletal muscle LPL activity in human subjects( Reference Farese, Yost and Eckel 31 ). Furthermore, an increased FA uptake via membrane associated carrier proteins may be an explanation for an increased FA extraction. Interestingly, a 1·5-fold increase in CD36 protein content during insulin stimulation has been previously reported, which was positively associated with IR as measured during a hyperinsulinaemic–euglycaemic clamp( Reference Corpeleijn, Pelsers and Soenen 32 ). Finally, other putative regulators of LPL activity such as ANGPTL4 may possibly contribute to the impairments in postprandial muscle FA handling. Indeed, muscle LPL activity is inhibited at posttranslational by ANGPTL4( Reference van der Zwaluw, Dhonukshe-Rutten and van Wijngaarden 33 ), but little is known on the physiological significance of this regulation in vivo in human subjects. A recent study showed that ANGPTL4 is secreted by human forearm muscle in postprandial conditions after a high-SFA meal, whilst plasma ANGPTL4 concentrations were not associated with in vivo skeletal muscle LPL activity after a high-SFA meal( Reference van der Kolk, Goossens and Jocken 34 ). Nevertheless, although these findings do not suggest a major role of ANGPTL4 in the altered TAG extraction in, it remains to be determined to what extent circulating ANGPTL4 reflects ANGPTL4 activity at muscular level.

Skeletal muscle lipid turnover

When FA enter the myocyte they bind to cytoplasmic cystosolic FA binding protein for transport through the cell and they can be either directed towards the mitochondria for oxidation or towards storage in the muscle TAG stores in lipid droplets. Increased TAG synthesis, via up-regulation of lipogenic enzymes, has been related to protection against FA-induced IR in rodents and human subjects (as reviewed in( Reference Stinkens, Goossens and Jocken 4 )). Not much is known on muscle lipid turnover measured in vivo in human subjects in relation to IR. Bergman et al.( Reference Bergman, Perreault and Hunerdosse 35 ) showed that the muscle TAG concentrations and its FSR were not altered in more insulin-resistant smokers as compared with non-smokers. Furthermore, the same group showed a reduced FSR of muscle TAG, higher TAG concentrations, a reduced oxidative capacity and an impaired peripheral insulin action in obese pre-diabetic subjects as compared with normal glucose tolerant controls( Reference Perreault, Bergman and Hunerdosse 36 ). Notably, these disturbances in muscle TAG metabolism were not found in women, indicating sex-related differences in muscle FA handling( Reference Perreault, Bergman and Hunerdosse 37 ).

In the earlier indicated studies, where an increased VLDL–TAG extraction was reported in more pronounced IR in overweight and pre-diabetic subjects, also the content of skeletal muscle lipid metabolites, their FA composition and their FSR was assessed, using skeletal muscle NEFA as the precursor pool for lipid synthesis. Comparing the more pronounced overweight insulin-resistant subjects to the mild-IR subjects, showed an increased saturation of the skeletal muscle NEFA pool, possibly suggesting an increased retention and reduced metabolism of in particular SFA. In line, it was shown that the more pronounced insulin-resistant IGT subjects (either isolated or in combination with IFG) had a reduced saturation and fractional synthesis of the DAG and TAG pool, and a reduced expression of genes involved in oxidative metabolism as compared with the isolated IFG group, confirming that a reduced muscle lipid synthesis and turnover may be an important characteristic of the insulin-resistant muscle( Reference Goossens, Moors and Jocken 11 ), (Fig. 1).

Fig. 1.

(Colour online) Impaired muscle lipid turnover after a high fat, high saturated fat (SFA) meal in insulin-resistant subjects. The muscle of insulin-resistant subjects either in the overweight of prediabetic state is characterised by an increased postprandial (VLDL)–TAG extraction and a reduced fractional synthesis of muscle diacylglycerol (DAG) and TAG after a high fat, SFA meal and a reduced fasting transcriptional oxidative profile. We hypothesise that an increased proportion of the SFA is retained in the NEFA (FFA) pool, leading to a higher saturated fatty acyl-CoA content and an increased ceramide formation, which may in turn affect insulin sensitivity. Based on( Reference Goossens, Moors and Jocken 11 ).

Dietary fat quality and skeletal muscle fatty acid handling

The previously and earlier reported disturbances in muscle FA handling and turnover in insulin-resistant conditions were shown after a high-SFA meal. There are indications that dietary fat quality may have an impact on pathways of FA handling and insulin sensitivity. Indeed, dietary intervention, including a reduction in SFA, has been shown to improve insulin sensitivity( Reference Mensink, Blaak and Vidal 38 , Reference Corpeleijn, Feskens and Jansen 39 ), possibly through effects on muscle lipid handling, although data are not consistent( Reference Tierney, McMonagle and Shaw 40 – Reference Griffin, Sanders and Davies 43 ). PUFA may reduce lipid overflow through inducing adipocyte differentiation thereby increasing lipid uptake as shown in a human preadipocyte cell line( Reference Hanada, Morikawa and Hirota 44 ). Additionally, it was shown in human muscle cell lines that SFA accumulate preferentially as DAG, whilst unsaturated FA are readily converted to TAG( Reference Montell, Turini and Marotta 45 ). Also, a reduced fat oxidation was shown when diabetic myotubes were exposed to palmitic acid, whilst no differences were reported with oleic acid( Reference Gaster, Rustan and Beck-Nielsen 46 ). Based on the earlier study, it was hypothesised that a meal high in PUFA may acutely improve insulin sensitivity compared with a meal high in SFA in overweight insulin-resistant subjects. For this, ten obese insulin-resistant men consumed three high-fat mixed meals (61 E % fat), which were high in SFA (35·5 E %), MUFA (42·2 E %) or PUFA (34·8 E %), respectively. Fasting and postprandial forearm muscle FA processing were examined with the earlier indicated dual-stable-isotope approach in combination with the forearm muscle balance technique( Reference Jans, Konings and Goossens 12 ). The high-PUFA meal significantly reduced TAG-derived skeletal muscle FA uptake, which was accompanied by higher postprandial insulin sensitivity, a more transcriptional oxidative phenotype, and an increased FSR of the DAG and TAG pool as compared with the high-SFA meal. These data indicate that the insulin-resistant muscle is characterised by both an increased muscle TAG extraction as well as a reduced muscle lipid turnover after in particular a high-SFA-mixed meal and not after a PUFA meal. Replacement of SFA by PUFA would therefore be protective against the development of IR.

Long-term dietary intervention manipulating diet composition

Lifestyle intervention, focused on both diet and physical activity is effective in the prevention of diabetes with a reduction in cumulative diabetes incidence of more than 50 % as shown in the European Diabetes Prevention Study( Reference Penn, White and Lindstrom 47 ) and the Diabetes Prevention Programme over 3–6 years( Reference Knowler, Barrett-Connor and Fowler 48 ). In these studies, a low-fat, high-complex carbohydrate diet with a high-dietary fibre content was advised. Another dietary approach in the prevention of diabetes is the Mediterranean diet, rich in olive oil, which may provide cardiovascular benefits( Reference Fito, Estruch and Salas-Salvado 49 ).

Manipulation of dietary fat quality by increasing the MUFA content or the n-3 or n-6 long-chain PUFA content of the diet in intervention studies has not shown consistent results on insulin sensitivity( Reference Tierney, McMonagle and Shaw 40 – Reference Griffin, Sanders and Davies 43 ). Based on the earlier findings on FA handling and insulin sensitivity in different prediabetic states, it can be speculated that effectiveness of dietary fat manipulation may depend on initial metabolic phenotype.

In line, in the CORDOPREV-DIAB study, the low-fat and Mediterranean dietary patterns were compared with respect to tissue-specific IR and β-cell function in cardiovascular patients not treated for diabetes (n 642, analysis at baseline and at 2 years follow-up)( Reference Blanco-Rojo, Alcala-Diaz and Wopereis 50 ). Although both diets improved insulin sensitivity, there were distinct differences based on the IR phenotype. More specifically, the low-fat diet resulted in a higher increase in disposition index (an estimation of β-cell function: insulin secretion adjusted for peripheral insulin sensitivity) in patients with liver IR, whilst the Mediterranean diet resulted in a higher increase in disposition index and insulinogenic index (an estimation of insulin secretion) in patients with skeletal muscle IR. In addition, a recent post hoc analysis in the European project LIPGENE, focused on the study of dietary fat quantity and quality in the metabolic syndrome, showed that insulin-resistant individuals were more susceptible to a health effect from the substitution of a high-saturated fat diet by either high MUFA and high (complex) carbohydrate (with added n-3 PUFA) diets. In addition, metabolic syndrome individuals without IR were more sensitive to the detrimental effects of high-saturated fat intake( Reference Yubero-Serrano, Delgado-Lista and Tierney 51 ). These data suggest that dietary prevention or treatment may require a more personalised or sub-group-based approach to become most effective. Nevertheless, this remains to be confirmed in prospective dietary intervention studies specifically designed to address baseline phenotype in relation to intervention success. Interestingly, a recent study by Zeevi et al.( Reference Zeevi, Korem and Zmora 52 ) showed that despite high interpersonal variability in post-meal glucose, personalised diets created with help of an algorithm, including dietary habits, physical activity and gut microbial composition, is successful in lowering blood glucose concentrations. This indicates that advances in detailed phenotyping including -omics methodologies, advances in ‘quantify self’ methods for dietary intake, blood glucose patterns and other physiological parameters in daily life may yield new opportunities for more personalised and sub-group-based approaches. At first, more prospective evidence has to be derived for the plausibility and urgency of this approach in daily life.

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References

1. Goossens, GH (2008) The role of adipose tissue dysfunction in the pathogenesis of obesity-related insulin resistance. Physiol Behav 94, 206–218.CrossRefGoogle ScholarPubMed
2. Coen, PM & Goodpaster, BH (2012) Role of intramyocelluar lipids in human health. Trends Endocrinol Metab 23, 391–398.CrossRefGoogle ScholarPubMed
3. Corpeleijn, E, Saris, WH & Blaak, EE (2009) Metabolic flexibility in the development of insulin resistance and type 2 diabetes: effects of lifestyle. Obes Rev 10, 178–193.Google Scholar
4. Stinkens, R, Goossens, GH, Jocken, JW et al. (2015) Targeting fatty acid metabolism to improve glucose metabolism. Obes Rev 16, 715–757.Google Scholar
5. Abdul-Ghani, MA, Jenkinson, CP, Richardson, DK et al. (2006) Insulin secretion and action in subjects with impaired fasting glucose and impaired glucose tolerance: results from the Veterans Administration Genetic Epidemiology Study. Diabetes 55, 1430–1435.CrossRefGoogle ScholarPubMed
6. Bock, G, Chittilapilly, E, Basu, R et al. (2007) Contribution of hepatic and extrahepatic insulin resistance to the pathogenesis of impaired fasting glucose: role of increased rates of gluconeogenesis. Diabetes 56, 1703–1711.CrossRefGoogle Scholar
7. Meyer, C, Pimenta, W, Woerle, HJ et al. (2006) Different mechanisms for impaired fasting glucose and impaired postprandial glucose tolerance in humans. Diab Care 29, 1909–1914.Google Scholar
8. Bickerton, AS, Roberts, R, Fielding, BA et al. (2007) Preferential uptake of dietary Fatty acids in adipose tissue and muscle in the postprandial period. Diabetes 56, 168–176.Google Scholar
9. van Hees, AM, Jans, A, Hul, GB et al. (2011) Skeletal muscle fatty acid handling in insulin resistant men. Obesity (Silver Spring) 19, 1350–1359.CrossRefGoogle ScholarPubMed
10. van der Kolk, BW, Goossens, GH, Jocken, JW et al. (2016) Altered skeletal muscle fatty acid handling is associated with degree of insulin resistance in overweight and obese humans. Diabetologia 59, 2686–2696.Google Scholar
11. Goossens, GH, Moors, CC, Jocken, JW et al. (2016) Altered skeletal muscle fatty acid handling in subjects with impaired glucose tolerance as compared to impaired fasting glucose. Nutrients 8, 164.Google Scholar
12. Jans, A, Konings, E, Goossens, GH et al. (2012) PUFAs acutely affect triacylglycerol-derived skeletal muscle fatty acid uptake and increase postprandial insulin sensitivity. Am J Clin Nutr 95, 825–836.CrossRefGoogle ScholarPubMed
13. Perseghin, G, Scifo, P, De Cobelli, F et al. (1999) Intramyocellular triglyceride content is a determinant of in vivo insulin resistance in humans: a 1H-13C nuclear magnetic resonance spectroscopy assessment in offspring of type 2 diabetic parents. Diabetes 48, 1600–1606.Google Scholar
14. Boden, G, Lebed, B, Schatz, M et al. (2001) Effects of acute changes of plasma free fatty acids on intramyocellular fat content and insulin resistance in healthy subjects. Diabetes 50, 1612–1617.Google Scholar
15. Schrauwen-Hinderling, VB, Kooi, ME, Hesselink, MK et al. (2005) Intramyocellular lipid content and molecular adaptations in response to a 1-week high-fat diet. Obes Res 13, 2088–2094.Google Scholar
16. Schrauwen-Hinderling, VB, Kooi, ME, Hesselink, MK et al. (2007) Impaired in vivo mitochondrial function but similar intramyocellular lipid content in patients with type 2 diabetes mellitus and BMI-matched control subjects. Diabetologia 50, 113–120.Google Scholar
17. van Loon, LJ, Koopman, R, Manders, R et al. (2004) Intramyocellular lipid content in type 2 diabetes patients compared with overweight sedentary men and highly trained endurance athletes. Am J Physiol Endocrinol Metab 287, E558–E565.Google Scholar
18. Goodpaster, BH, He, J, Watkins, S et al. (2001) Skeletal muscle lipid content and insulin resistance: evidence for a paradox in endurance-trained athletes. J Clin Endocrinol Metab 86, 5755–5761.Google Scholar
19. Karpe, F, Dickmann, JR & Frayn, KN (2011) Fatty acids, obesity, and insulin resistance: time for a reevaluation. Diabetes 60, 2441–2449.CrossRefGoogle ScholarPubMed
20. Bickerton, AS, Roberts, R, Fielding, BA et al. (2008) Adipose tissue fatty acid metabolism in insulin-resistant men. Diabetologia 51, 1466–1474.Google Scholar
21. Riemens, SC, Sluiter, WJ & Dullaart, RP (2000) Enhanced escape of non-esterified fatty acids from tissue uptake: its role in impaired insulin-induced lowering of total rate of appearance in obesity and Type II diabetes mellitus. Diabetologia 43, 416–426.Google Scholar
22. McQuaid, SE, Hodson, L, Neville, MJ et al. (2011) Downregulation of adipose tissue fatty acid trafficking in obesity: a driver for ectopic fat deposition? Diabetes 60, 47–55.Google Scholar
23. Hodson, L, Bickerton, AS, McQuaid, SE et al. (2007) The contribution of splanchnic fat to VLDL triglyceride is greater in insulin-resistant than insulin-sensitive men and women: studies in the postprandial state. Diabetes 56, 2433–2441.CrossRefGoogle ScholarPubMed
24. Ruge, T, Hodson, L, Cheeseman, J et al. (2009) Fasted to fed trafficking of Fatty acids in human adipose tissue reveals a novel regulatory step for enhanced fat storage. J Clin Endocrinol Metab 94, 1781–1788.CrossRefGoogle ScholarPubMed
25. Wang, H, Knaub, LA, Jensen, DR et al. (2009) Skeletal muscle-specific deletion of lipoprotein lipase enhances insulin signaling in skeletal muscle but causes insulin resistance in liver and other tissues. Diabetes 58, 116–124.Google Scholar
26. Kim, JK, Fillmore, JJ, Chen, Y et al. (2001) Tissue-specific overexpression of lipoprotein lipase causes tissue-specific insulin resistance. Proc Natl Acad Sci USA 98, 7522–7527.Google Scholar
27. Hiukka, A, Fruchart-Najib, J, Leinonen, E et al. (2005) Alterations of lipids and apolipoprotein CIII in very low density lipoprotein subspecies in type 2 diabetes. Diabetologia 48, 1207–1215.CrossRefGoogle ScholarPubMed
28. Heath, RB, Karpe, F, Milne, RW et al. (2007) Dietary fatty acids make a rapid and substantial contribution to VLDL-triacylglycerol in the fed state. Am J Physiol Endocrinol Metab 292, E732–E739.Google Scholar
29. Heath, RB, Karpe, F, Milne, RW et al. (2003) Selective partitioning of dietary fatty acids into the VLDL TG pool in the early postprandial period. J Lipid Res 44, 2065–2072.Google Scholar
30. Yost, TJ, Jensen, DR, Haugen, BR et al. (1998) Effect of dietary macronutrient composition on tissue-specific lipoprotein lipase activity and insulin action in normal-weight subjects. Am J Clin Nutr 68, 296–302.Google Scholar
31. Farese, RV Jr, Yost, TJ & Eckel, RH (1991) Tissue-specific regulation of lipoprotein lipase activity by insulin/glucose in normal-weight humans. Metab: Clin Exp 40, 214–216.Google Scholar
32. Corpeleijn, E, Pelsers, MM, Soenen, S et al. (2008) Insulin acutely upregulates protein expression of the fatty acid transporter CD36 in human skeletal muscle in vivo. J Physiol Pharmacol 59, 77–83.Google Scholar
33. van der Zwaluw, NL, Dhonukshe-Rutten, RA, van Wijngaarden, JP et al. (2014) Results of 2-year vitamin B treatment on cognitive performance: secondary data from an RCT. Neurology 83, 2158–2166.Google Scholar
34. van der Kolk, BW, Goossens, GH, Jocken, JW et al. (2016) Angiopoietin-like protein 4 and postprandial skeletal muscle lipid metabolism in overweight and obese prediabetics. J Clin Endocrinol Metab 101, 2332–2339.Google Scholar
35. Bergman, BC, Perreault, L, Hunerdosse, DM et al. (2009) Intramuscular lipid metabolism in the insulin resistance of smoking. Diabetes 58, 2220–2227.Google Scholar
36. Perreault, L, Bergman, BC, Hunerdosse, DM et al. (2010) Inflexibility in intramuscular triglyceride fractional synthesis distinguishes prediabetes from obesity in humans. Obesity (Silver Spring) 18, 1524–1531.Google Scholar
37. Perreault, L, Bergman, BC, Hunerdosse, DM et al. (2010) Altered intramuscular lipid metabolism relates to diminished insulin action in men, but not women, in progression to diabetes. Obesity (Silver Spring) 18, 2093–2100.Google Scholar
38. Mensink, M, Blaak, EE, Vidal, H et al. (2003) Lifestyle changes and lipid metabolism gene expression and protein content in skeletal muscle of subjects with impaired glucose tolerance. Diabetologia 46, 1082–1089.Google Scholar
39. Corpeleijn, E, Feskens, EJ, Jansen, EH et al. (2006) Improvements in glucose tolerance and insulin sensitivity after lifestyle intervention are related to changes in serum fatty acid profile and desaturase activities: the SLIM study. Diabetologia 49, 2392–2401.Google Scholar
40. Tierney, AC, McMonagle, J, Shaw, DI et al. (2011) Effects of dietary fat modification on insulin sensitivity and on other risk factors of the metabolic syndrome–LIPGENE: a European randomized dietary intervention study. Int J Obes (Lond) 35, 800–809.Google Scholar
41. Kabir, M, Skurnik, G, Naour, N et al. (2007) Treatment for 2 mo with n 3 polyunsaturated fatty acids reduces adiposity and some atherogenic factors but does not improve insulin sensitivity in women with type 2 diabetes: a randomized controlled study. Am J Clin Nutr 86, 1670–1679.Google Scholar
42. Jebb, SA, Lovegrove, JA, Griffin, BA et al. (2010) Effect of changing the amount and type of fat and carbohydrate on insulin sensitivity and cardiovascular risk: the RISCK (Reading, Imperial, Surrey, Cambridge, and Kings) trial. Am J Clin Nutr 92, 748–758.Google Scholar
43. Griffin, MD, Sanders, TA, Davies, IG et al. (2006) Effects of altering the ratio of dietary n-6 to n-3 fatty acids on insulin sensitivity, lipoprotein size, and postprandial lipemia in men and postmenopausal women aged 45–70 y: the OPTILIP Study. Am J Clin Nutr 84, 1290–1298.CrossRefGoogle ScholarPubMed
44. Hanada, H, Morikawa, K, Hirota, K et al. (2011) Induction of apoptosis and lipogenesis in human preadipocyte cell line by n-3 PUFAs. Cell Biol Int 35, 51–59.Google Scholar
45. Montell, E, Turini, M, Marotta, M et al. (2001) DAG accumulation from saturated fatty acids desensitizes insulin stimulation of glucose uptake in muscle cells. Am J Physiol Endocrinol Metab 280, E229–E237.CrossRefGoogle ScholarPubMed
46. Gaster, M, Rustan, AC & Beck-Nielsen, H (2005) Differential utilization of saturated palmitate and unsaturated oleate: evidence from cultured myotubes. Diabetes 54, 648–656.Google Scholar
47. Penn, L, White, M, Lindstrom, J et al. (2013) Importance of weight loss maintenance and risk prediction in the prevention of type 2 diabetes: analysis of European Diabetes Prevention Study RCT. PLoS ONE 8, e57143.CrossRefGoogle ScholarPubMed
48. Knowler, WC, Barrett-Connor, E, Fowler, SE et al. (2002) Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. The New Engl J Med 346, 393–403.Google Scholar
49. Fito, M, Estruch, R, Salas-Salvado, J et al. (2014) Effect of the Mediterranean diet on heart failure biomarkers: a randomized sample from the PREDIMED trial. Eur J Heart Fail 16, 543–550.CrossRefGoogle ScholarPubMed
50. Blanco-Rojo, R, Alcala-Diaz, JF, Wopereis, S et al. (2016) The insulin resistance phenotype (muscle or liver) interacts with the type of diet to determine changes in disposition index after 2 years of intervention: the CORDIOPREV-DIAB randomised clinical trial. Diabetologia 59, 67–76.Google Scholar
51. Yubero-Serrano, EM, Delgado-Lista, J, Tierney, AC et al. (2015) Insulin resistance determines a differential response to changes in dietary fat modification on metabolic syndrome risk factors: the LIPGENE study. The Am J Clin Nutr 102, 1509–1517.CrossRefGoogle ScholarPubMed
52. Zeevi, D, Korem, T, Zmora, N et al. (2015) Personalized nutrition by prediction of glycemic responses. Cell 163, 1079–1094.Google Scholar
Figure 0

Fig. 1. (Colour online) Impaired muscle lipid turnover after a high fat, high saturated fat (SFA) meal in insulin-resistant subjects. The muscle of insulin-resistant subjects either in the overweight of prediabetic state is characterised by an increased postprandial (VLDL)–TAG extraction and a reduced fractional synthesis of muscle diacylglycerol (DAG) and TAG after a high fat, SFA meal and a reduced fasting transcriptional oxidative profile. We hypothesise that an increased proportion of the SFA is retained in the NEFA (FFA) pool, leading to a higher saturated fatty acyl-CoA content and an increased ceramide formation, which may in turn affect insulin sensitivity. Based on(11).