Frontotemporal dementia (FTD) is associated with complex changes in eating behaviour and metabolism, which potentially affect disease pathogenesis and survival. It is currently not known if body composition changes also exist in FTD, the relationship of these changes to eating behaviour, and whether these changes are centrally mediated. In 28 behavioural variant frontotemporal dementia (bvFTD), 16 Alzheimer's disease (AD) and 19 controls, body composition was measured using dual x-ray absorptiometry. Changes in body composition were correlated to grey matter atrophy using voxel-based morphometry on high resolution MRI. Behavioural variant frontotemporal dementia was characterised by changes in body composition, with increased total fat mass, visceral adipose area, and android: gynoid ratio compared to control and AD subjects (all p values < .05). Changes in body composition correlated to abnormal eating behaviour and behavioural change (p < .01) and functional decline (p < .01). Changes in body composition also correlated to grey matter atrophy involving a distributed network of neural structures including the hippocampus, the amygdala, nucleus accumbens, insula, cingulate and cerebellum, known to be to central to autonomic control, and also areas involved in reward processing including the thalamus, putamen, accumbens and caudate. Changes in body composition extend the clinical phenomenology in bvFTD beyond cognition and behaviour, with changes potentially mediated by changes in reward and autonomic processing suggesting that these deficits may be central in FTD, and providing targets to modify the neurodegenerative process.

BACKGROUNDSpontaneous hyperinsulinaemic hypoglycaemia following gastric bypass surgery (GBS) is increasingly recognised. However, its pathophysiology remains unclear. Some patients require pancreatectomy. Medical therapy with calcium channel blockers, acarbose and diazoxide has been reported to be beneficial but has variable adherence and response.METHODWe demonstrate the role of GLP1, counter-regulatory hormones and the subsequent response of GLP1 to somatostatin analogue therapy in a 42-year-old woman with persistent neuroglycopaenia 6 years after GBS. Plasma GLP1, insulin and glucose were measured for 5  h on three settings: i) a 75  g oral glucose tolerance test (OGTT); ii) a standard liquid test meal (LTM); and iii) an OGTT 30  min after a s.c. injection of 100  μg octreotide.RESULTSIn comparison with obese non-diabetic controls, the patient had an elevated fasting and a markedly enhanced GLP1 response during the OGTT, followed by an exaggerated insulin response and a subsequent low glucose level. The GLP1 response to a LTM was similar but greater. Octreotide given prior to the OGTT attenuated both the GLP1 and insulin responses and abolished hypoglycaemia. Octreotide therapy significantly improved the patient's neuroglycopaenic symptoms. The hormone profile was reassessed after 6 months following the LTM preceded by octreotide injection. Peak GLP1 and insulin responses were less pronounced than pretreatment responses and without hypoglycaemia. The patient was treated with lanreotide and had remained symptom-free and euglycaemic for 4 years.CONCLUSIONAn exaggerated incretin response following altered gastrointestinal anatomy was the likely cause of hypoglycaemia in our GBS patient. Somatostatin successfully suppressed this response acutely and in the long term, thereby avoiding pancreatectomy and its sequelae.

Obesity is a highly heritable disorder but the genetic associations reported to date account for only a small percentage of the inherited variation in body mass index. Two groups report deletions on chromosome16p11.2 that may explain part of the 'missing heritability' in terms of 'high-penetrance' mutations that are rare but when present are very often associated with severe obesity. This is in contrast to more common gene defects that are less closely associated with clinical symptoms. Bochukova et al. identified rare recurrent copy number variants in 300 patients with severe early-onset obesity, caused by deletions involving several genes including SH2B1, known to be involved in leptin and insulin signalling. Many of the patients also suffered neurodevelopmental disorders. Walters et al. identified deletions of at least 593 kilobases on chromosome 16p11.2 in 31 patients with a previously unrecognized type of extreme obesity. The strategy they used to identify the lesion — using small well-phenotyped cohorts of extreme phenotypes with targeted follow-up in genome-wide association studies and population cohorts — shows promise as a means of identifying 'missing heritability' in complex metabolic diseases more generally. Recently, numerous single nucleotide polymorphisms have been identified as being associated with obesity, but these loci together account for only a small fraction of the known heritable component. Here, an association is reported between rare deletions of at least 593 kilobases at 16p11.2 and a highly penetrant form of obesity. The strategy used of combining study of extreme phenotypes with targeted follow-up is promising for identifying missing heritability in obesity. Obesity has become a major worldwide challenge to public health, owing to an interaction between the Western ‘obesogenic’ environment and a strong genetic contribution1. Recent extensive genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms associated with obesity, but these loci together account for only a small fraction of the known heritable component1. Thus, the ‘common disease, common variant’ hypothesis is increasingly coming under challenge2. Here we report a highly penetrant form of obesity, initially observed in 31 subjects who were heterozygous for deletions of at least 593 kilobases at 16p11.2 and whose ascertainment included cognitive deficits. Nineteen similar deletions were identified from GWAS data in 16,053 individuals from eight European cohorts. These deletions were absent from healthy non-obese controls and accounted for 0.7% of our morbid obesity cases (body mass index (BMI) ≥ 40 kg m-2 or BMI standard deviation score ≥ 4; P = 6.4 × 10-8, odds ratio 43.0), demonstrating the potential importance in common disease of rare variants with strong effects. This highlights a promising strategy for identifying missing heritability in obesity and other complex traits: cohorts with extreme phenotypes are likely to be enriched for rare variants, thereby improving power for their discovery. Subsequent analysis of the loci so identified may well reveal additional rare variants that further contribute to the missing heritability, as recently reported for SIM1 (ref. 3). The most productive approach may therefore be to combine the ‘power of the extreme’4 in small, well-phenotyped cohorts, with targeted follow-up in case-control and population cohorts.