SMIM1 absence is associated with reduced energy expenditure and excess weight.

BACKGROUND: Obesity rates have nearly tripled in the past 50 years, and by 2030 more than 1 billion individuals worldwide are projected to be obese. This creates a significant economic strain due to the associated non-communicable diseases. The root cause is an energy expenditure imbalance, owing to an interplay of lifestyle, environmental, and genetic factors. Obesity has a polygenic genetic architecture; however, single genetic variants with large effect size are etiological in a minority of cases. These variants allowed the discovery of novel genes and biology relevant to weight regulation and ultimately led to the development of novel specific treatments. METHODS: We used a case-control approach to determine metabolic differences between individuals homozygous for a loss-of-function genetic variant in the small integral membrane protein 1 (SMIM1) and the general population, leveraging data from five cohorts. Metabolic characterization of SMIM1-/- individuals was performed using plasma biochemistry, calorimetric chamber, and DXA scan. FINDINGS: We found that individuals homozygous for a loss-of-function genetic variant in SMIM1 gene, underlying the blood group Vel, display excess body weight, dyslipidemia, altered leptin to adiponectin ratio, increased liver enzymes, and lower thyroid hormone levels. This was accompanied by a reduction in resting energy expenditure. CONCLUSION: This research identified a novel genetic predisposition to being overweight or obese. It highlights the need to investigate the genetic causes of obesity to select the most appropriate treatment given the large cost disparity between them. FUNDING: This work was funded by the National Institute of Health Research, British Heart Foundation, and NHS Blood and Transplant.

Low-Density TaqMan® Array Cards for the Detection of Pathogens.

Real-time PCR assays have revolutionised diagnostic microbiology over the past 15 years or more. Adaptations and improvements over that time frame have led to the development of multiplex assays. However, limitations in terms of available fluorophores has meant the number of assays which can be combined has remained in single figures. This latter limitation has led to the focus tending to be on individual pathogens and their detection. This chapter describes the development of TaqMan® Array Cards (TACs), technology which allows the detection of multiple pathogens (up to 48 targets) from a single nucleic acid extract, utilising small volumes and real-time PCR. This in turn lends itself to a syndromic approach to infectious disease diagnosis. Using the examples of TACs we have developed in our own laboratory, as well as others, we explain the design, optimisation and use of TACs for respiratory, gastrointestinal and liver infections. Refinement of individual assays is discussed as well as the incorporation of appropriate internal and process controls onto the array cards. Finally, specific examples are given of instances where the assays have had a direct, positive impact on patient care.