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Biomedical subjects

Aleksander Krag

Publications and source records attributed to Aleksander Krag.

2 recordsLinked to original sources

Effect of a 6-month low-carbohydrate diet on the circulating fatty acid composition in patients with type 2 diabetes: a secondary analysis of an open-label randomized controlled trial.

BACKGROUND: Circulating fatty acid profiles are linked to cardiovascular disease risk and mortality. Short-term interventions suggest that low-carbohydrate diets (LCDs) promote cardioprotective shifts in circulating fatty acids in obesity. OBJECTIVES: We examined whether a 6-mo, non-calorie-restricted, LCD high in fat similarly improves circulating fatty acid composition in adults with type 2 diabetes. METHODS: In an open-label, randomized, controlled trial, 71 individuals with type 2 diabetes were randomly assigned 2:1 to an LCD [maximum of 20 E% (energy per cent) carbohydrates] or a control diet (50-60 E% carbohydrates) for 6 mo with no restriction in energy intake. The prespecified secondary outcomes were the mean difference in change between groups in serum phospholipid fatty acids in weight percentage (wt%) measured by gas chromatography and reported as 95% confidence intervals (CIs) and significance adjusted for multiple comparisons (q value). RESULTS: LCD reduced total saturated [-0.6 (CI: -0.9, -0.2)] and monounsaturated fatty acids [-0.9 (CI: -1.4, -0.3)] and increased total polyunsaturated fatty acids [1.3 (CI: 0.6, 2.0)] compared with the control diet (all q < 0.05). Importantly, LCD reduced palmitoleic acid (16:1n-7) [-0.13 (CI: -0.21, -0.06)], a marker of de novo lipogenesis, by 23% and dihomo-&#x3b3;-linolenic acid (20:3n-6) [-0.38 (CI: -0.67, -0.09)] by 12%, whereas it increased arachidonic acid (20:4n-6) [1.1 (CI: 0.3, 2.0)] by 9% compared with the control diet (all q < 0.05). Moreover, the LCD improved estimated desaturase activities by lowering stearoyl-coenzyme A desaturase 1 [-0.5 (CI: -0.7, -0.2)] and &#x394;6 desaturase [-0.6 (CI: -0.9, -0.2)] and increasing &#x394;5 desaturase [1.05 (CI: 0.3, 1.79)] activities, respectively (all q < 0.01). These changes occurred despite a 2.6-fold higher intake of saturated fatty acids in the LCD group. CONCLUSIONS: A 6-mo, non-calorie-restricted LCD modified the circulating composition of fatty acids in adults with type 2 diabetes in a manner consistent with a potentially favorable cardioprotective profile. This trial was registered at www. CLINICALTRIALS: gov as NCT03068078.

Humans

Scalable Deep Learning of Histology Images Reveals Genetic and Phenotypic Determinants of Adipocyte Hypertrophy.

BACKGROUND: White adipose tissue dysfunction has emerged as a critical factor in cardiometabolic disease development, yet the cellular microstructure and genetic architecture of adipocyte morphology remain poorly explored. METHODS: We introduce Adipocyte U-Net 2.0, an advanced deep learning method for the semantic segmentation of adipose tissue histology, enabling analysis of over 27 million adipocytes from 2,667 individuals. FINDINGS: Our approach revealed that adipocyte hypertrophy associates with metabolic dysfunction, including increased fasting glucose, glycated hemoglobin, leptin, and triglycerides, with decreased adiponectin and HDL cholesterol levels. Through the largest genome-wide association study of adipocyte size to date (NSubcutaneous = 2,066, NVisceral = 1,878), we identified four genome-wide significant loci: two in sex-combined analysis (rs73184721 in NAALADL2 and rs200047724 in NRXN3) and two female-specific variants (rs140503338 and rs11656704 in ULK2). Notably, these genetic associations showed congruent relationships with cardiometabolic traits, suggesting shared biological mechanisms. INTERPRETATION: Our findings demonstrate the utility of deep learning for adipocyte phenotyping at scale and provide novel insights into the genetic basis of adipocyte morphology and its relationship to metabolic disease.

Journal Article