Adipose tissue mitochondrial capacity associates with long-term weight loss success.

OBJECTIVES: We investigated whether (1) subcutaneous adipose tissue (SAT) mitochondrial capacity predicts weight loss success and (2) weight loss ameliorates obesity-related SAT mitochondrial abnormalities. METHODS: SAT biopsies were obtained from 19 clinically healthy obese subjects (body mass index (BMI) 34.6±2.7 kg m-2) during a weight loss intervention (0, 5 and 12 months) and from 19 lean reference subjects (BMI 22.7±1.1 kg m-2) at baseline. Based on 1-year weight loss outcome, the subjects were divided into two groups: continuous weight losers (WL, n=6) and weight regainers (WR, n=13). Main outcome measures included SAT mitochondrial pathways from transcriptomics, mitochondrial amount (mitochondrial DNA (mtDNA), Porin protein levels), mtDNA-encoded transcripts, oxidative phosphorylation (OXPHOS) proteins, and plasma metabolites of the mitochondrial branched-chain amino-acid catabolism (BCAA) pathway. SAT and visceral adipose tissue (VAT) glucose uptake was measured with positron emission tomography. RESULTS: Despite similar baseline clinical characteristics, SAT in the WL group exhibited higher gene expression level of nuclear-encoded mitochondrial pathways (P=0.0224 OXPHOS, P=0.0086 tricarboxylic acid cycle, P=0.0074 fatty acid beta-oxidation and P=0.0122 BCAA), mtDNA transcript COX1 (P=0.0229) and protein level of Porin (P=0.0462) than the WR group. Many baseline mitochondrial parameters correlated with WL success, and with SAT and VAT glucose uptake. During WL, the nuclear-encoded mitochondrial pathways were downregulated, together with increased plasma metabolite levels of BCAAs in both groups. MtDNA copy number increased in the WR group at 5 months (P=0.012), but decreased to baseline level between 5 and 12 months (P=0.015). The only significant change in the WL group for mtDNA was a reduction between 5 and 12 months (P=0.004). The levels of Porin did not change in either group upon WL. CONCLUSIONS: Higher mitochondrial capacity in SAT predicts good long-term WL success. WL does not ameliorate SAT mitochondrial downregulation and based on pathway expression, may paradoxically further reduce it.Data availability:The transcriptomics data generated in this study have been deposited to the Gene Expression Omnibus public repository, accession number GSE103769.

Retrospective derivation and validation of a search algorithm to identify emergent endotracheal intubations in the intensive care unit.

BACKGROUND: The development and validation of automated electronic medical record (EMR) search strategies are important in identifying emergent endotracheal intubations in the intensive care unit (ICU). OBJECTIVE: To develop and validate an automated search algorithm (strategy) for emergent endotracheal intubation in the critically ill patient. METHODS: The EMR search algorithm was created through sequential steps with keywords applied to an institutional EMR database. The search strategy was derived retrospectively through a secondary analysis of a 450-patient subset from the 2,684 patients admitted to either a medical or surgical ICU from January 1, 2010, through December 31, 2011. This search algorithm was validated against an additional 450 randomly selected patients. Sensitivity, specificity, and negative and positive predictive values of the automated search algorithm were compared with a manual medical record review (the reference standard) for data extraction of emergent endotracheal intubations. RESULTS: In the derivation subset, the automated electronic note search strategy achieved a sensitivity of 74% (95% CI, 69%-79%) and a specificity of 98% (95% CI, 92%-100%). With refinements in the search algorithm, sensitivity increased to 95% (95% CI, 91%-97%) and specificity decreased to 96% (95% CI, 92%-98%) in this subset. After validation of the algorithm through a separate patient subset, the final reported sensitivity and specificity were 95% (95% CI, 86%-99%) and 100% (95% CI, 98%-100%). CONCLUSIONS: Use of electronic search algorithms allows for correct extraction of emergent endotracheal intubations in the ICU, with high degrees of sensitivity and specificity. Such search algorithms are a reliable alternative to manual chart review for identification of emergent endotracheal intubations.

Serum saturated fatty acids containing triacylglycerols are better markers of insulin resistance than total serum triacylglycerol concentrations.

AIMS/HYPOTHESIS: The weak relationship between insulin resistance and total serum triacylglycerols (TGs) could be in part due to heterogeneity of TG molecules and their distribution within different lipoproteins. We determined concentrations of individual TGs and the fatty acid composition of serum and major lipoprotein particles and analysed how changes in different TGs and fatty acid composition are related to features of insulin resistance and abdominal obesity. METHODS: We performed lipidomic analyses of all major lipoprotein fractions using two analytical platforms in 16 individuals, who exhibited a broad range of insulin sensitivity. RESULTS: We identified 45 different TGs in serum. Serum TGs containing saturated and monounsaturated fatty acids were positively, while TGs containing essential linoleic acid (18:2 n-6) were negatively correlated with HOMA-IR. Specific serum TGs that correlated positively with HOMA-IR were also significantly positively related to HOMA-IR when measured in very-low-density lipoproteins (VLDLs), intermediate-density lipoproteins (IDLs) and LDL, but not in HDL subfraction 2 (HDL(2)) or 3 (HDL(3)). Analyses of proportions of esterified fatty acids within lipoproteins revealed that palmitic acid (16:0) was positively related to HOMA-IR when measured in VLDL, IDL and LDL, but not in HDL(2) or HDL(3). Monounsaturated palmitoleic (16:1 n-7) and oleic (18:1 n-9) acids were positively related to HOMA-IR when measured in HDL(2) and HDL(3), but not in VLDL, IDL or LDL. Linoleic acid was negatively related to HOMA-IR in all lipoproteins. CONCLUSIONS/INTERPRETATION: Serum concentrations of specific TGs, such as TG(16:0/16:0/18:1) or TG(16:0/18:1/18:0), may be more precise markers of insulin resistance than total serum TG concentrations.