Skeletal Muscle Triacylglycerol Hydrolysis Does Not Influence Metabolic Complications of Obesity

Intramyocellular triacylglycerol (IMTG) accumulation is highly associated with insulin resistance and metabolic complications of obesity (lipotoxicity), whereas comparable IMTG accumulation in endurance-trained athletes is associated with insulin sensitivity (the athlete’s paradox). Despite these findings, it remains unclear whether changes in IMTG accumulation and metabolism per se influence muscle-specific and systemic metabolic homeostasis and insulin responsiveness. By mediating the rate-limiting step in triacylglycerol hydrolysis, adipose triglyceride lipase (ATGL) has been proposed to influence the storage/production of deleterious as well as essential lipid metabolites. However, the physiological relevance of ATGL-mediated triacylglycerol hydrolysis in skeletal muscle remains unknown. To determine the contribution of IMTG hydrolysis to tissue-specific and systemic metabolic phenotypes in the context of obesity, we generated mice with targeted deletion or transgenic overexpression of ATGL exclusively in skeletal muscle. Despite dramatic changes in IMTG content on both chow and high-fat diets, modulation of ATGL-mediated IMTG hydrolysis did not significantly influence systemic energy, lipid, or glucose homeostasis, nor did it influence insulin responsiveness or mitochondrial function. These data argue against a role for altered IMTG accumulation and lipolysis in muscle insulin resistance and metabolic complications of obesity.Obesity is a global public health problem and a major risk factor for insulin resistance and type 2 diabetes. These disorders are characterized by excess lipid accumulation in multiple tissues, primarily as triacylglycerols (TAGs). The lipotoxicity hypothesis suggests that this lipid excess promotes cellular dysfunction and cell death, which ultimately contribute to insulin resistance and metabolic disease (1). However, intracellular TAG accumulation is not always associated with adverse metabolic outcomes, suggesting that TAGs themselves are not pathogenic (2). In contrast, other non-TAG lipid metabolites such as fatty acids (FAs), diacylglycerols (DAGs), and ceramides have been shown to influence glucose homeostasis and insulin action by interfering with insulin signaling and glucose transport, promoting endoplasmic reticulum stress and mitochondrial dysfunction, and activating inflammatory and apoptotic pathways (reviewed in ref. 3). Nevertheless, the precise identities and sources of these bioactive lipid intermediates remain elusive (4,5). Furthermore, whether intracellular TAGs serve as a protective sink or a toxic source of deleterious lipid metabolites that contribute to insulin resistance remains unclear (6).Since skeletal muscle is the major contributor to insulin-mediated glucose disposal, lipid excess in this tissue could have serious implications for systemic glucose homeostasis and insulin responsiveness (7). Indeed, numerous studies have demonstrated a strong association between intramyocellular triacylglycerol (IMTG) accumulation and insulin resistance (reviewed in ref. 8). In contrast, endurance exercise training is characterized by IMTG accumulation and insulin sensitivity (the athlete’s paradox) (2). This variable association between IMTG accumulation and insulin responsiveness has largely been attributed to differences in the balance between lipid delivery and muscle oxidative capacity (8–10). Not surprisingly then, most studies have focused on the impact of muscle FA uptake and/or oxidation on glucose homeostasis and insulin action (11). However, experimental manipulations of these parameters cannot distinguish among the effects of IMTGs, IMTG metabolism, and other lipid intermediates. Furthermore, accumulating evidence suggests that muscle oxidative capacity cannot entirely explain differences in IMTGs or insulin responsiveness (12). These findings have led to speculation that dynamic IMTG metabolism (i.e., TAG synthesis or hydrolysis) may be critically involved in lipid-induced insulin resistance (6). However, few studies have specifically addressed the contribution of IMTG metabolism per se to this process.The regulated storage and release of IMTGs remain poorly understood, but require the coordinated action of synthetic enzymes (i.e., diacylglycerol acyltransferases [DGATs]), hydrolytic enzymes (i.e., adipose triglyceride lipase [ATGL] and hormone sensitive lipase [HSL]), and other lipid droplet proteins (6). Specifically, modulating IMTG synthesis in murine skeletal muscle alters IMTG content and systemic glucose homeostasis, supporting a role for IMTG metabolism in metabolic disease (13–15). However, the metabolic impact of modulating IMTG hydrolysis in vivo remains unclear. Global deletion of either ATGL (16–19) or HSL (20) has produced variable results. The former, but not the latter, results in massive IMTG accumulation with improvement in systemic glucose homeostasis, suggesting that inhibition of ATGL-mediated TAG hydrolysis protects against insulin resistance. In contrast, recent studies in cardiac muscle (21) and other tissues (22,23) indicate that ATGL-mediated TAG hydrolysis is required for mitochondrial function such that enhancing, rather than inhibiting, ATGL action may improve metabolic outcomes. Nevertheless, the autonomous role of skeletal muscle TAG catabolism in influencing muscle-specific and systemic metabolic phenotypes remains unknown.The goal of the current study was to understand the contribution of IMTG hydrolysis to tissue-specific and systemic metabolic phenotypes, particularly glucose homeostasis and insulin action, in the context of obesity. We therefore generated animal models with decreased (skeletal muscle-specific ATGL knockout [SMAKO] mice) and increased (muscle creatine kinase [Ckm]-ATGL transgenic [Tg] mice) ATGL action exclusively in skeletal muscle, and assessed the metabolic consequences at baseline and in response to chronic high-fat feeding. Interestingly, modulation of IMTG hydrolysis via ATGL action did not significantly influence glucose homeostasis, insulin action, or other metabolic phenotypes in the context of obesity despite dramatic changes in IMTG content.     

Mitochondrial Deficiency Is Associated With Insulin Resistance

The specific cellular underpinnings or mechanisms of insulin resistance (IR) are not clear. Here I present evidence to support a causal association between mitochondrial energetics and IR. A large body of literature indicates that mitochondrial capacity for oxidative metabolism is lower in human obesity and type 2 diabetes. Whether or not mitochondria play a causal role in IR is hotly debated. First, IR can be caused by many factors, many of which may or may not involve mitochondria. These include lipid overload, oxidative stress, and inflammation. Thus the first tenet of an argument supporting a role for mitochondria in IR is that mitochondria derangements can cause IR, but IR does not have to involve mitochondria. The second tenet of this argument is that animal models in which oxidative metabolism are completely abolished are not always physiologically or pathologically relevant to human IR, in which small metabolic perturbations can have profound effects over a prolonged period. Lastly, mitochondria are complex organelles, with diverse functions, including links with cell signaling, oxidative stress, and inflammation, which in turn can be connected with IR. In summary, mitochondrial “deficiency” is not merely a reduced energy generation or low fatty acid oxidation; this concept should be expanded to numerous additional important functions, many of which can cause IR if perturbed.The most common forms of human skeletal muscle insulin resistance (IR) are associated with 1) obesity, particularly abdominal obesity and excess accumulation of lipids in nonadipose tissues such as liver and skeletal muscle; and 2) physical inactivity. Identifying a common cellular basis for these conditions, however, remains elusive. Impairments in mitochondrial energetics have been linked to each of these conditions. Obesity has been reported to be associated with reduced mitochondria content and altered mitochondrial performance (1). Physical inactivity is associated with lower mitochondrial biogenesis and content (2). Conversely, exercise is a potent inducer of mitochondria biogenesis (3). Thus it is not surprising that considerable attention has been given to the possibility that mitochondria play a role in IR. But of course associations do not infer that derangements in mitochondria cause IR. Although many of these arguments can be made for other insulin-sensitive tissues such as liver, this line of reasoning to support a role for mitochondria in IR will focus on skeletal muscle.     

DNA polyintercalating drugs: DNA binding of diacridine derivatives.

As a first step in the synthesis and the study of DNA polyintercalating drugs, dimers of acridines have been prepared. Their DNA binding properties have been studied. It has been determined that when the chain separating the two aromatic rings is longer than a criticål distance, bisintercalation is actually observed and that the DNA binding affinity becomes quite large (greater than 10(8)-10(9) M-1). It is shown also that the optical characteristics of these molecules are dependent on the sequences of DNA. The fluorescence intensity of one of these dimers when bound to DNA varies as the fourth power of its A+T content. This derivative could be used as a fluorescent probe of DNA sequence.     

Validity of Bioelectrical Impedance Analysis for Measuring Changes in Body Water and Percent Fat After Bariatric Surgery

Background

Few studies have validated bioelectrical impedance analysis (BIA) following bariatric surgery.

Methods

We examined agreement of BIA (Tanita 310) measures of total body water (TBW) and percent body fat (%fat) before (T0) and 12 months (T12) after bariatric surgery, and change between T0 and T12 with reference measures: deuterium oxide dilution for TBW and three-compartment model (3C) for %fat in a subset of participants (n?=?50) of the Longitudinal Assessment of Bariatric Surgery-2.

Results

T0 to T12 median (IQR) change in deuterium TBW and 3C %fat was ?6.4 L (6.4 L) and ?14.8 % (13.4 %), respectively. There were no statistically significant differences between deuterium and BIA determined TBW [median (IQR) difference: T0 ?0.1 L (7.1 L), p?=?0.75; T12 0.2 L (5.7 L), p?=?0.35; Δ 0.35 L(6.3 L), p?=?1.0]. Compared with 3C, BIA underestimated %fat at T0 and T12 [T0 ?3.3 (5.6), p?<?0.001; T12 ?1.7 (5.2), p?=?0.04] but not change [0.7 (8.2), p?=?0.38]. Except for %fat change, Bland-Altman plots indicated no proportional bias. However, 95 % limits of agreement were wide (TBW 15–22 L, %fat 19–20 %).

Conclusions

BIA may be appropriate for evaluating group level response among severely obese adults. However, clinically meaningful differences in the accuracy of BIA between individuals exist.     

Evaluation of 16S rRNA Gene PCR Sensitivity and Specificity for Diagnosis of Prosthetic Joint Infection: a Prospective Multicenter Cross-Sectional Study

There is no standard method for the diagnosis of prosthetic joint infection (PJI). The contribution of 16S rRNA gene PCR sequencing on a routine basis remains to be defined. We performed a prospective multicenter study to assess the contributions of 16S rRNA gene assays in PJI diagnosis. Over a 2-year period, all patients suspected to have PJIs and a few uninfected patients undergoing primary arthroplasty (control group) were included. Five perioperative samples per patient were collected for culture and 16S rRNA gene PCR sequencing and one for histological examination. Three multicenter quality control assays were performed with both DNA extracts and crushed samples. The diagnosis of PJI was based on clinical, bacteriological, and histological criteria, according to Infectious Diseases Society of America guidelines. A molecular diagnosis was modeled on the bacteriological criterion (≥1 positive sample for strict pathogens and ≥2 for commensal skin flora). Molecular data were analyzed according to the diagnosis of PJI. Between December 2010 and March 2012, 264 suspected cases of PJI and 35 control cases were included. PJI was confirmed in 215/264 suspected cases, 192 (89%) with a bacteriological criterion. The PJIs were monomicrobial (163 cases [85%]; staphylococci, n = 108; streptococci, n = 22; Gram-negative bacilli, n = 16; anaerobes, n = 13; others, n = 4) or polymicrobial (29 cases [15%]). The molecular diagnosis was positive in 151/215 confirmed cases of PJI (143 cases with bacteriological PJI documentation and 8 treated cases without bacteriological documentation) and in 2/49 cases without confirmed PJI (sensitivity, 73.3%; specificity, 95.5%). The 16S rRNA gene PCR assay showed a lack of sensitivity in the diagnosis of PJI on a multicenter routine basis.