Bardet-Biedl syndrome is a rare autosomal recessive, multisystem disease characterized by retinal dystrophy, renal malformation, obesity, intellectual disability, polydactyly, and hypogonadism. Nineteen disease-causing genes () have been identified, of which mutations in are most common in North America and Europe. A hallmark of the disease, renal malformation is heterogeneous and is a cause of morbidity and mortality through the development of CKD. We studied the prevalence and severity of CKD in 350 patients with Bardet-Biedl syndrome-related renal disease attending the United Kingdom national Bardet-Biedl syndrome clinics to further elucidate the phenotype and identify risk indicators of CKD. Overall, 31% of children and 42% of adults had CKD; 6% of children and 8% of adults had stage 4-5 CKD. In children, renal disease was often detected within the first year of life. Analysis of the most commonly mutated disease-associated genes revealed that, compared with two truncating mutations, two missense mutations associated with less severe CKD in adults. Moreover, compared with mutations in, mutations in associated with less severe CKD or lack of CKD in adults. Finally, 51% of patients with available ultrasounds had structural renal abnormalities, and 35% of adults were hypertensive. The presence of structural abnormalities or antihypertensive medication also correlated statistically with stage 3b-5 CKD. This study describes the largest reported cohort of patients with renal disease in Bardet-Biedl syndrome and identifies risk factors to be considered in genetic counseling.

Insulin resistance and the metabolic syndrome are increased in adult patients with BBS compared with matched control subjects. Increased subclinical hypothyroidism in the BBS cohort needs further investigation.

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Background: As prevention trials for Alzheimer’s disease move into asymptomatic populations, identifying older individuals who manifest the earliest cognitive signs of Alzheimer’s disease is critical. Computerized cognitive testing has the potential to replace current gold standard paper and pencil measures and may be a more efficient means of assessing cognition. However, more empirical evidence about the comparability of novel computerized batteries to paper and pencil measures is required. Objectives: To determine whether two computerized IPad batteries, the NIH Toolbox Cognition Battery and Cogstate-C3, similarly predict subtle cognitive impairment identified using the Preclinical Alzheimer Cognitive Composite (PACC). Design, Setting, Participants: A pilot sample of 50 clinically normal older adults (Mage=68.5 years±7.6, 45% non-Caucasian) completed the PACC assessment, and the NIH Toolbox and Cogstate-C3 at research centers of Massachusetts General and Brigham and Women’s Hospitals. Participants made 3-4 in-clinic visits, receiving the PACC first, then the NIH Toolbox, and finally the Cogstate-C3. Measurements: Performance on the PACC was dichotomized by typical performance (>= 0.5SD), versus subtle cognitive impairment (<0.5SD). Composites for each computerized battery were created using principle components analysis, and compared with the PACC using non-parametric Spearman correlations. Logistic regression analyses were used to determine which composite was best able to classify subtle cognitive impairment from typical performance. Results: The NIH Toolbox formed one composite and exhibited the strongest within-battery alignment, while the Cogstate-C3 formed two distinct composites (Learning-Memory and Processing Speed-Attention). The NIH Toolbox and C3 Learning-Memory composites exhibited positive correlations with the PACC (ρ=0.49, p<0.001; ρ=0.58, p<0.001, respectively), but not the C3 Processing Speed-Attention composite, ρ=-0.18, p=0.22. The C3 Learning-Memory was the only composite that classified subtle cognitive impairment, and demonstrated the greatest sensitivity (62%) and specificity (81%) for that subtle cognitive impairment. Conclusions: Preliminary findings suggest that the NIH Toolbox has the advantage of showing the strongest overall clustering and alignment with standardized paper-and-pencil tasks. By contrast, Learning-Memory tasks within the Cogstate-C3 battery have the greatest potential to identify cross-sectional, subtle cognitive impairment as defined by the PACC.

Bardet–Biedl syndrome is a rare ciliopathy characterized by retinal dystrophy, obesity, intellectual disability, polydactyly, hypogonadism and renal impairment. Patients are at high risk of cardiovascular disease. Mutations in BBS1 and BBS10 account for more than half of those with molecular confirmation of the diagnosis. To elucidate genotype–phenotype correlations with respect to cardiovascular risk indicators 50 patients with mutations in BBS1 were compared with 19 patients harbouring BBS10 mutations. All patients had truncating, missense or compound missense/truncating mutations. The effect of genotype and mutation type was analysed. C-reactive protein was higher in those with mutations in BBS10 and homozygous truncating mutations (p = 0.013 and p = 0.002, respectively). Patients with mutations in BBS10 had higher levels of C peptide than those with mutations in BBS1 (p = 0.043). Triglyceride levels were significantly elevated in patients with homozygous truncating mutations (p = 0.048). Gamma glutamyl transferase was higher in patients with homozygous truncating mutations (p = 0.007) and heterozygous missense and truncating mutations (p = 0.002) than those with homozygous missense mutations. The results are compared with clinical cardiovascular risk factors. Patients with missense mutations in BBS1 have lower biochemical cardiovascular disease markers compared with patients with BBS10 and other BBS1 mutations. This could contribute to stratification of the clinical service.