AIM:Obesity is a major contributor to insulin resistance (IR) and cardiometabolic diseases, but IR can manifest in a tissue-specific manner, resulting in discordant IR phenotypes. This study characterized metabolic and clinical differences between individuals with adipose and muscle IR. METHOD:Baseline data from 229 adults (40-75 years, BMI 25-40 kg/m2) in the PERSON study were analyzed. Participants were categorized into four groups based on indices of muscle and adipose insulin sensitivity. Muscle IR was assessed with a 7-point oral glucose tolerance test, and adipose IR was determined from fasting plasma insulin and non-esterified fatty acids. Detailed phenotyping was performed under controlled conditions and daily life. RESULTS:42% of participants displayed discordant IR patterns. Independent of muscle IR, adipose IR was associated with an adverse cardiometabolic profile, including abdominal fat accumulation, higher fasting insulin, HOMA-IR and triglycerides, greater glycemic variability, and more liver fat and hepatic IR. In contrast, individuals with isolated muscle IR maintained a relatively healthy cardiometabolic profile, though women exhibited higher muscle fat infiltration and hepatic IR. CONCLUSION:These findings demonstrate that adipose IR is more strongly and consistently linked to impaired metabolic health than muscle IR, highlighting the importance of phenotype-specific strategies for prevention and treatment.

Postprandial metabolic impairments play a key role in the pathophysiology of cardiometabolic diseases. While liver fat content has been linked to distinct fasting metabolite profiles, its relationship with postprandial metabolite profiles remains unexplored. In this study, we aimed to (1) examine to what extent liver fat content is associated with the postprandial metabolomic profile beyond fasting metabolites; and (2) investigate whether diet-induced changes in liver fat content are associated with changes in plasma metabolites identified in objective 1. In a subpopulation (n = 1986) of an existing cohort study and a 12-week dietary intervention study (n = 80), liver fat content was measured by proton magnetic resonance spectroscopy and categorized as low (< 2.5

BACKGROUND:Precision nutrition strategies can be effective in optimizing health outcomes. We previously showed that dietary macronutrient modulation targeting tissue-specific insulin resistance (IR) phenotypes induced pronounced improvements in cardiometabolic health. It remains unclear whether these improvements may partially be explained by gut microbiota-related mechanisms. OBJECTIVES:We investigated whether 12-wk high monounsaturated fatty acid (HMUFA) and low-fat, high-protein, high-fiber diets (LFHP) impact gut microbiota composition and functionality in people with predominant muscle IR (MIR) compared with liver IR (LIR) in relation to cardiometabolic health improvements. METHODS:This 2-center, randomized, double-blind, dietary intervention trial included 179 individuals with LIR or MIR [40‒75 y, body mass index (in kg/m2) 25‒40], who followed either a 12-wk isocaloric HMUFA or LFHP diet. A 7-point oral glucose tolerance test was performed to determine tissue-specific IR and cardiometabolic risk factors. Fecal microbiota composition was profiled using 16S ribosomal ribonucleic acid amplicon sequencing (V3‒V4 region), and GLP-1 and gut microbial products were determined in plasma and feces. RESULTS:The HMUFA diet induced significant shifts in overall gut microbial composition (P < 0.05) and short-chain fatty acid-producing bacteria (q < 0.05) in the LIR phenotype, but not in MIR. The LFHP diet induced only modest changes in gut microbiota features. We found phenotype-specific correlations between specific baseline taxa abundance and change in metabolic outcomes (MIR-HMUFA: Barnesiella-ΔMISI (Spearman ρ = 0.45, P < 0.001); LIR-HMUFA: Sutterella-Δplasma-C-reactive protein (Spearman ρ = 0.57, P = 0.0001) and a Rhodospirillales genus-Δhomeostasis model assessment of insulin resistance (Spearman ρ = ‒0.58, P < 0.001). CONCLUSIONS:Individuals with predominant LIR seem more prone to diet-induced gut microbiota-related improvements in cardiometabolic health than those with MIR, highlighting the importance of understanding heterogeneity in IR. Our findings support a role for the gut microbiota in precision nutrition targeting tissue-specific IR. CLINICALTRIALS:gov registration: This is a secondary analysis of the PERSonalized glucose Optimization through Nutritional intervention (PERSON) randomized trial. REGISTRATION NUMBER:NCT03708419, https://clinicaltrials.gov/study/NCT03708419.

The relationship between dietary patterns (DPs) and type 2 diabetes is well established, but the potential role of tissue-specific insulin resistance (IR) in this association remains unclear. This study aimed to derive DPs using reduced rank regression (RRR), incorporating hepatic IR index (HIRI) and muscle insulin sensitivity index (MISI) as response variables. We also examined whether these patterns are associated with insulin sensitivity and pancreatic β-cell function. We conducted a cross-sectional analysis of 700 adults with overweight or obesity participating in the screening phase of the PERSON study. Dietary intakes were assessed using a food frequency questionnaire. RRR was used to derive DPs based on HIRI and MISI. Associations with HOMA-IR, HOMA-β, Matsuda index and Disposition index were tested using multiple regression models adjusted for socio-demographic and lifestyle factors. One DP was retained, explaining 13.7 https://clinicaltrials.gov/study/NCT03708419 (identifier NCT03708419).

AIMS:Individuals with liver insulin-resistant (LIR) or muscle insulin-resistant (MIR) phenotypes may respond differently to dietary interventions. Given the interaction between insulin resistance and cardiovascular risk, this sub-analysis of the PERSON study examined whether a personalized diet according to MIR or LIR phenotypes improves vascular function and cardiovascular disease risk factors. MATERIALS AND METHODS:We randomized 119 participants to a 12-week low-fat, high-protein, high-fibre diet (LFHP; may be optimal for LIR) or Mediterranean diet (high in monounsaturated fat, HMUFA; may be optimal for MIR). Randomization linked the insulin-resistant (IR) phenotype to the proposed optimal diet, leading to PhenoDiet A (MIR-HMUFA and LIR-LFHP) and PhenoDiet B (MIR-LFHP and LIR-HMUFA). Before and after the intervention, vascular function (carotid artery reactivity) and cardiovascular risk factors (blood pressure, total cholesterol, HDL-cholesterol and Framingham risk score) were examined. A 7-point oral glucose tolerance test was performed to determine insulin resistance (Matsuda index and HOMA-IR) and disposition index. RESULTS:Following drop-out (n = 18), 101 participants finished the intervention (54 women, 61 ± 7 years, 27.6 [26.4;30.0] kg/m2), with n = 80 available for the primary outcome of vascular function. Overall, the dietary interventions significantly decreased blood pressure, total cholesterol, HDL-cholesterol and the Framingham risk score (all p < 0.05), while vascular function was not affected (p = 0.485). Insulin resistance (p ≤ 0.001), but not disposition index (p = 0.362), was significantly improved after intervention. The Matsuda index (p = 0.078) tended to increase more and total cholesterol (p = 0.052) tended to decrease more in PhenoDiet group B than A, but other changes in outcome parameters were not significantly different between PhenoDiet groups. The LFHP diet resulted in more pronounced improvements in cholesterol, diastolic blood pressure (DBP) and insulin resistance compared with the HMUFA diet (all p < 0.05). CONCLUSION:A 12-week diet improves metabolic and cardiovascular outcomes, but not vascular function in insulin-resistant adults with overweight or obesity. Whilst the LFHP diet resulted in greater improvements in cardiometabolic risk markers than the HMUFA diet, we found no significant differences between the PhenoDiet groups.

Immune cell metabolism is increasingly recognized as an important regulator of immune function, but its role in age-related immune dysfunction, chronic inflammation, and cardiometabolic complications in humans remains incompletely understood. This study investigated the impact of aging on monocyte metabolic and functional signatures in a healthy elderly population. We aimed to leverage these immunometabolic signatures to identify healthy elderly individuals with reduced immune cell fitness and, therefore, potentially at a higher risk for age-related complications. We characterized lactate and cytokine secretion, phagocytic capacity, and glycolytic and oxidative metabolic responses in monocytes from 103 elderly individuals and included 52 young adults as a reference group with healthy immune responses. We observed strong similarities in monocyte functional and metabolic signatures between young adults and elderly individuals. However, monocytes from the elderly secreted significantly more cytokines and displayed more ATP-linked respiration and a reduced proton leak compared to young adults. These significant differences were driven by a subgroup within the elderly population characterized by higher monocyte lactate secretion compared to the remainder of the elderly and young adults and were therefore classified as "immune-unfit". The immune-unfit elderly exhibited "hyperactive" monocytes, evidenced by significantly higher metabolic and functional signatures. Interestingly, compared to immune-fit individuals, immune-unfit elderly individuals had significantly elevated levels of circulating vascular endothelial growth factor and low-density lipoprotein cholesterol. Hence, we propose lactate secretion from monocytes as a parameter to classify "immune-unfit" elderly individuals with divergent immunometabolic properties of monocytes that could reflect increased susceptibility to age-related cardiometabolic complications. Trial Registration: NCT05940337.

Insulin resistance (IR) is an early marker of cardiometabolic deterioration which may develop heterogeneously in key metabolic organs, including the liver (LIR) and skeletal muscle (MIR). This tissue-specific IR is characterized by distinct metabolic signatures, but the role of the gut microbiota in its etiology remains unclear. Here, we profiled the gut microbiota, its metabolites and the plasma metabolome in individuals with either a LIR or MIR phenotype (n = 233). We observed distinct microbial community structures LIR and MIR, and higher short-chain fatty acid (SCFA) producing bacteria, fecal SCFAs and branched-chain fatty acids and a higher postprandial plasma glucagon-like-peptide-1 response in LIR. In addition, we found variations in metabolome profiles and phenotype-specific associations between microbial taxa and functional metabolite groups. Overall, our study highlights association between gut microbiota and its metabolites composition with IR heterogeneity that can be targeted in precision-based strategies to improve cardiometabolic health. Clinicaltrials.gov registration: NCT03708419.

Increased liver fat increases the risk of chronic metabolic diseases. This study is an exploratory secondary analysis aimed at (1) investigating whether transcriptomic responses of abdominal subcutaneous adipose tissue (SAT) to a high-fat-high-glucose meal challenge differ according to varying levels of liver fat accumulation and (2) identifying pathways in abdominal SAT metabolism that may be related to liver fat accumulation. We examined differences in abdominal SAT gene expression and pathway activity both at fasting and in response to a mixed-meal challenge, comparing individuals with varying levels of liver fat. From the subset of 66 of 110 middle-aged participants of a previous intervention study, we grouped participants by tertiles of intrahepatic lipids (IHL) into high liver fat group (n = 22, IHL: 8.0

The endocannabinoid system (ECS) is dysregulated during obesity and metabolic disorders. Weight loss favours the re-establishment of ECS homeostatic conditions, but also the fatty acid composition of the diet can modulate endocannabinoid profiles. However, the combined impact of nutrient quality and energy restriction on the ECS remains unclear. In this 12 weeks randomized controlled trial, men and women (40-70 years) with obesity (BMI: 31.3 +/- 3.5 kg/ m(2)) followed either a low nutrient quality 25% energy-restricted (ER) diet (n=39) high in saturated fats and fructose, or a high nutrient quality ER diet (n=34) amongst others enriched in n-3 polyunsaturated fatty acids (PUFAs) or kept their habitual diet (controls). Profiles of plasma- and adipose N-acylethanolamines and mono-acyl glycerol esters were quantified using LC-MS/MS. Gene expression of ECS-related enzymes and receptors was determined in adipose tissue. Measurements were performed under fasting conditions before and after 12 weeks. Our results showed that plasma level of the DHA-derived compound docosahexaenoylethanolamide (DHEA) was decreased in the low nutrient quality ER diet (P<0.001) compared with the high nutrient quality ER diet, whereas anandamide (AEA) and arachidonoylglycerol (2-AG) levels were unaltered. However, adipose tissue gene expression of the 2-AG synthesizing enzyme diacylglycerol lipase alpha (DAGL-alpha) was increased following the low nutrient quality ER diet (P<.009) and differed upon intervention with both other diets. Concluding, nutrient quality of the diet affects N-acylethanolamine profiles and gene expression of ECS-related enzymes and receptors even under conditions of high energy restriction in abdominally obese humans. ClinicalTrials.gov NCT02194504 (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

Consumption of fructo- (FOS) and galacto-oligosaccharides (GOS) has health benefits which have been linked in part to short-chain fatty acids (SCFA) production by the gut microbiota. However, detailed knowledge of this process in the human intestine is lacking. We aimed to determine the acute fermentation kinetics of a FOS:GOS mixture in healthy males using a naso-intestinal catheter for sampling directly in the ileum or colon. We studied the fate of SCFA as substrates for glucose and lipid metabolism by the host after infusion of 13C-SCFA. In the human distal ileum, no fermentation of FOS:GOS, nor SCFA production, or bacterial cross-feeding was observed. The relative composition of intestinal microbiota changed rapidly during the test day, which demonstrates the relevance of postprandial intestinal sampling to track acute responses of the microbial community toward interventions. SCFA were vividly taken up and metabolized by the host as shown by incorporation of 13C in various host metabolites.

The manifestation of metabolic deteriorations that accompany overweight and obesity can differ greatly between individuals, giving rise to a highly heterogeneous population. This inter-individual variation can impede both the provision and assessment of nutritional interventions as multiple aspects of metabolic health should be considered at once. Here, we apply the Mixed Meal Model, a physiology-based computational model, to characterize an individual's metabolic health in silico. A population of 342 personalized models were generated using data for individuals with overweight and obesity from three independent intervention studies, demonstrating a strong relationship between the model-derived metric of insulin resistance (ρ = 0.67, p < 0.05) and the gold-standard hyperinsulinemic-euglycemic clamp. The model is also shown to quantify liver fat accumulation and β-cell functionality. Moreover, we show that personalized Mixed Meal Models can be used to evaluate the impact of a dietary intervention on multiple aspects of metabolic health at the individual level.

Continuous glucose monitoring (CGM) is a promising, minimally invasive alternative to plasma glucose measurements for calibrating physiology-based mathematical models of insulin-regulated glucose metabolism, reducing the reliance on in-clinic measurements. However, the use of CGM glucose, particularly in combination with insulin measurements, to develop personalized models of glucose regulation remains unexplored. Here, we simultaneously measured interstitial glucose concentrations using CGM as well as plasma glucose and insulin concentrations during an oral glucose tolerance test (OGTT) in individuals with overweight or obesity to calibrate personalized models of glucose-insulin dynamics. We compared the use of interstitial glucose with plasma glucose in model calibration, and evaluated the effects on model fit, identifiability, and model parameters’ association with clinically relevant metabolic indicators. Models calibrated on both plasma and interstitial glucose resulted in good model fit, and the parameter estimates associated with metabolic indicators such as insulin sensitivity measures in both cases. Moreover, practical identifiability of model parameters was improved in models estimated on CGM glucose compared to plasma glucose. Together these results suggest that CGM glucose may be considered as a minimally invasive alternative to plasma glucose measurements in model calibration to quantify the dynamics of glucose regulation.

Abstract Background Body composition and body fat distribution are important predictors of cardiometabolic diseases. The etiology of cardiometabolic diseases is heterogenous, and partly driven by inter-individual differences in tissue-specific insulin sensitivity. Objectives To investigate (1) the associations between body composition and whole-body, liver and muscle insulin sensitivity, and (2) changes in body composition and insulin sensitivity and their relationship after a 12-week isocaloric diet high in mono-unsaturated fatty acids (HMUFA) or a low-fat, high-protein, high-fiber (LFHP) diet. Methods This subcohort analysis of the PERSON study includes 93 individuals (53% women, BMI 25–40 kg/m2, 40–75 years) who participated in this randomized intervention study. At baseline and after 12 weeks of following the LFHP, or HMUFA diet, we performed a 7-point oral glucose tolerance test to assess whole-body, liver, and muscle insulin sensitivity, and whole-body magnetic resonance imaging to determine body composition and body fat distribution. Both diets are within the guidelines of healthy nutrition. Results At baseline, liver fat content was associated with worse liver insulin sensitivity (β [95%CI]; 0.12 [0.01; 0.22]). Only in women, thigh muscle fat content was inversely related to muscle insulin sensitivity (-0.27 [-0.48; -0.05]). Visceral adipose tissue (VAT) was inversely associated with whole-body, liver, and muscle insulin sensitivity. Both diets decreased VAT, abdominal subcutaneous adipose tissue (aSAT), and liver fat, but not whole-body and tissue-specific insulin sensitivity with no differences between diets. Waist circumference, however, decreased more following the LFHP diet as compared to the HMUFA diet (-3.0 vs. -0.5 cm, respectively). After the LFHP but not HMUFA diet, improvements in body composition were positively associated with improvements in whole-body and liver insulin sensitivity. Conclusions Liver and muscle insulin sensitivity are distinctly associated with liver and muscle fat accumulation. Although both LFHP and HMUFA diets improved in body fat, VAT, aSAT, and liver fat, only LFHP-induced improvements in body composition are associated with improved insulin sensitivity. Trial registration NCT03708419 (clinicaltrials.gov).

Background Tissue-specific insulin resistance (IR) predominantly in muscle (muscle IR) or liver (liver IR) has previously been linked to distinct fasting metabolite profiles, but postprandial metabolite profiles have not been investigated in tissue-specific IR yet. Given the importance of postprandial metabolic impairments in the pathophysiology of cardiometabolic diseases, we compared postprandial plasma metabolite profiles in response to a high-fat mixed meal between individuals with predominant muscle IR or liver IR. Methods This cross-sectional study included data from 214 women and men with BMI 25–40 kg/m 2 , aged 40–75 years, and with predominant muscle IR or liver IR. Tissue-specific IR was assessed using the muscle insulin sensitivity index (MISI) and hepatic insulin resistance index (HIRI), which were calculated from the glucose and insulin responses during a 7-point oral glucose tolerance test. Plasma samples were collected before (T = 0) and after (T = 30, 60, 120, 240 min) consumption of a high-fat mixed meal and 247 metabolite measures, including lipoproteins, cholesterol, triacylglycerol (TAG), ketone bodies, and amino acids, were quantified using nuclear magnetic resonance spectroscopy. Differences in postprandial plasma metabolite iAUCs between muscle and liver IR were tested using ANCOVA with adjustment for age, sex, center, BMI, and waist-to-hip ratio. P -values were adjusted for a false discovery rate (FDR) of 0.05 using the Benjamini–Hochberg method. Results Sixty-eight postprandial metabolite iAUCs were significantly different between liver and muscle IR. Liver IR was characterized by greater plasma iAUCs of large VLDL ( p = 0.004), very large VLDL ( p = 0.002), and medium-sized LDL particles ( p = 0.026), and by greater iAUCs of TAG in small VLDL ( p = 0.025), large VLDL ( p = 0.003), very large VLDL ( p = 0.002), all LDL subclasses (all p < 0.05), and small HDL particles ( p = 0.011), compared to muscle IR. In liver IR, the postprandial plasma fatty acid (FA) profile consisted of a higher percentage of saturated FA ( p = 0.013), and a lower percentage of polyunsaturated FA ( p = 0.008), compared to muscle IR. Conclusion People with muscle IR or liver IR have distinct postprandial plasma metabolite profiles, with more unfavorable postprandial metabolite responses in those with liver IR compared to muscle IR.

Galacto-oligosaccharides (GOS) and fructo-oligosaccharides (FOS) are food ingredients that improve human health, but their degradation throughout the human small intestine is not well understood. We studied the breakdown kinetics of FOS and GOS in the intestines of seven healthy Dutch adults. Subjects were equipped with a catheter in the distal ileum or proximal colon and consumed 5 g of chicory-derived FOS (degree of polymerization (DP) DP2-10), and 5 g of GOS (DP2-6). Postprandially, intestinal content was frequently collected until 350 min and analyzed for mono-, di-, and oligosaccharides. FOS and GOS had recoveries of 96 +/- 25% and 76 +/- 28%, respectively. FOS DP >= 2 and GOS DP >= 3 abundances in the distal small intestine or proximal colon matched the consumed doses, while GOS dimers (DP2) had lower recoveries, namely 22.8 +/- 11.1% for beta-D-gal-(1 <-> 1)-alpha-D-glc+beta-D-gal-(1 <-> 1)-beta-D-glc, 19.3 +/- 19.1% for beta-D-gal-(1 -> 2)-D-glc+beta-D-gal-(1 -> 3)-D-glc, 43.7 +/- 24.6% for beta-D-gal-(1 -> 6)-D-gal, and 68.0 +/- 38.5% for beta-D-gal-(1 -> 4)-D-gal. Lactose was still present in the distal small intestine of all of the participants. To conclude, FOS DP >= 2 and GOS DP >= 3 were not degraded in the small intestine of healthy adults, while most prebiotic GOS DP2 was hydrolyzed in a structure-dependent manner. We provide evidence on the resistances of GOS with specific beta-linkages in the human intestine, supporting the development of GOS prebiotics that resist small intestine digestion.

Brief exposure of monocytes to atherogenic molecules, such as oxidized lipoproteins, triggers a persistent pro-inflammatory phenotype, named trained immunity. In mice, transient high-fat diet leads to trained immunity, which aggravates atherogenesis. We hypothesized that a single high-fat challenge in humans induces trained immunity. In a randomized controlled cross-over study, 14 healthy individuals received a high-fat or reference shake, and blood was drawn before and after 1, 2, 4, 6, 24, and 72 h. Incubation of donor monocytes with the post-high-fat-shake serum induced trained immunity, regulated via Toll-like receptor 4. This was not mediated via triglyceride-rich lipoproteins, C12, 14, and 16, or metabolic endotoxemia. In vivo, however, the high-fat challenge did not affect monocyte phenotype and function. We conclude that a high-fat challenge leads to alterations in the serum composition that have the potential to induce trained immunity in vitro. However, this does not translate into a (persistent) hyperinflammatory monocyte phenotype in vivo.

BACKGROUND:We previously showed that dietary intervention effects on cardiometabolic health were driven by tissue-specific insulin resistance (IR) phenotype: individuals with predominant muscle IR (MIR) benefited more from a low-fat, high-protein, and high-fiber (LFHP) diet, whereas individuals with predominant liver insulin resistance (LIR) benefited more from a high-monounsaturated fatty acid (HMUFA) diet. OBJECTIVES:To further characterize the effects of LFHP and HMUFA diets and their interaction with tissue-specific IR, we investigated dietary intervention effects on fasting and postprandial plasma metabolite profile. METHODS:Adults with MIR or LIR (40-75 y, BMI 25-40 kg/m2) were randomly assigned to a 12-wk HMUFA or LFHP diet (n = 242). After the exclusion of statin use, 214 participants were included in this prespecified secondary analysis. Plasma samples were collected before (T = 0) and after (T = 30, 60, 120, and 240 min) a high-fat mixed meal for quantification of 247 metabolite measures using nuclear magnetic resonance spectroscopy. RESULTS:A larger reduction in fasting VLDL-triacylglycerol (TAG) and VLDL particle size was observed in individuals with MIR following the LFHP diet and those with LIR following the HMUFA diet, although no longer statistically significant after false discovery rate (FDR) adjustment. No IR phenotype-by-diet interactions were found for postprandial plasma metabolites assessed as total area under the curve (tAUC). Irrespective of IR phenotype, the LFHP diet induced greater reductions in postprandial plasma tAUC of the larger VLDL particles and small HDL particles, and TAG content in most VLDL subclasses and the smaller LDL and HDL subclasses (for example, VLDL-TAG tAUC standardized mean change [95% CI] LFHP = -0.29 [-0.43, -0.16] compared with HMUFA = -0.04 [-0.16, 0.09]; FDR-adjusted P for diet × time = 0.041). CONCLUSIONS:Diet effects on plasma metabolite profiles were more pronounced than phenotype-by-diet interactions. An LFHP diet may be more effective than an HMUFA diet for reducing cardiometabolic risk in individuals with tissue-specific IR, irrespective of IR phenotype. Am J Clin Nutr 20xx;x:xx. This trial was registered at the clinicaltrials.gov registration (https://clinicaltrials.gov/study/NCT03708419?term=NCT03708419&rank=1) as NCT03708419 and CCMO registration (https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&unids=3969AABCD9BA27FEC12587F1001BCC65) as NL63768.068.17.

Background: Intake of high-fat foods raises postprandial plasma triglycerides and inflammatory markers, which may depend on the type of fat ingested. Dairy products are commonly consumed, but not much is known about the impact of milk fat and the milk fat globule membrane on postprandial inflammation. Here, we aimed to study the effect of milk fat with and without milk fat globule membrane and a vegetable fat blend on post-prandial inflammation, with a focus on blood monocyte gene expression.Methods: We performed a randomized, double-blind cross-over trial in 37 middle-aged healthy male and female volunteers (BMI 22-27 kg/m(2)). The participants consumed a meal shake containing 95.5 g of fat consisting of either a vegetable fat blend (VEGE), anhydrous milk fat (AMF, without milk fat globule membrane), or cream (CREAM, containing milk fat globule membrane). Blood monocytes were collected at 0 h and 6 h postprandially and used for bulk RNA sequencing and ex vivo stimulation with LPS.Results: Consumption of all three shakes significantly decreased the percentage of classical monocytes and increased the percentages of intermediate monocytes and non-classical monocytes. No differences in these measures were observed between shakes. Using a threshold of p < 0.01, 787 genes were differentially regulated postprandially between the three shakes. 89 genes were differentially regulated postprandially between AMF and VEGE, 373 genes between AMF and CREAM, and 667 genes between VEGE and CREAM, indicating that the effect of CREAM on monocyte gene expression was distinct from AMF and VEGE. Pathway analyses showed that VEGE significantly increased the expression of genes involved in inflammatory pathways, whereas this was less pronounced after AMF and not observed after CREAM. In addition, CREAM significantly down-regulated the expression of genes involved in energy metabolism-related pathways, such as glycolysis, TCA cycle, and oxidative phosphorylation, as well as HIF-1 signaling.Conclusion: Compared to the consumption of an anhydrous milk fat without milk fat globule membrane and a vegetable fat blend, the consumption of cream with milk fat globule membrane downregulated inflammatory pathways in blood monocytes, thus suggesting a potential inflammation inhibitory effect of milk fat globule membrane.

Obesity is associated with chronic inflammation and metabolic complications, including insulin resistance (IR). Immune cells drive inflammation through the rewiring of intracellular metabolism. However, the impact of obesity-related IR on the metabolism and functionality of circulating immune cells, like monocytes, remains poorly understood. To increase insight into the inter-individual variation of immunometabolic signatures among individuals and their role in the development of IR, we assessed systemic and tissue-specific IR and circulating immune markers, and we characterized metabolic signatures and cytokine secretion of circulating monocytes from 194 individuals with a BMI≥25kg/m2. Monocyte metabolic signatures were defined using extracellular acidification rates (ECAR) to estimate glycolysis and oxygen consumption rates (OCR) for oxidative metabolism. Although monocyte metabolic signatures and function based on cytokine secretion varied greatly among subjects, they were strongly associated with each other. The ECAR/OCR ratio, representing the balance between glycolysis and oxidative metabolism, was negatively associated with fasting insulin, systemic IR, and liver-specific IR. These results indicate that monocytes from individuals with IR were relatively more dependent on oxidative metabolism, while monocytes from more insulin-sensitive individuals were more dependent on glycolysis. Additionally, circulating CXCL11 was negatively associated with the degree of systemic IR and positively with the ECAR/OCR ratio in monocytes, suggesting that individuals with high IR and a monocyte metabolic dependence on oxidative metabolism also have lower levels of circulating CXCL11. Our findings suggest that monocyte metabolism is related to obesity-associated IR progression and deepen insights into the interplay between innate immune cell metabolism and IR development in humans.

A proinflammatory adipose tissue (AT) microenvironment and systemic low‐grade inflammation may differentially affect tissue‐specific insulin sensitivity. This study investigated the relationships of abdominal subcutaneous AT (aSAT) and circulating immune cells, aSAT gene expression, and circulating inflammatory markers with liver and skeletal muscle insulin sensitivity in people with overweight and obesity.