The hidden life of NAD+-consuming ectoenzymes in the endocrine system

Ectoenzymes are a family of cell surface molecules whose catalytic domain lies in the extracellular region. A subset of this family, nucleotide-metabolizing ectoenzymes, are key components in the regulation of the extracellular balance between nucleotides (e.g., NAD+ or ATP) and nucleosides (e.g., adenosine). Their substrates and products are signalling molecules that act by binding to specific receptors, triggering signals that regulate a variety of functions, ranging from the migration of immune cells, to synaptic transmission in the brain, to hormone/receptor interactions in the glands. Almost two decades of accumulated data indicate that these regulatory processes significantly affect the endocrine system, a tightly controlled information signal complex with clear evidence of fine regulation. Functional models discussed in this review include insulin secretion, bone modelling and the association between hormones and behaviour. The emerging pattern is one of a system operating as a scale-free network that hinges around hubs of key molecules, such as NAD+ or ATP. The underlying natural link between nucleotides, ectoenzymes and the endocrine system is far from being clearly demonstrated. However, the body of evidence supporting the existence of such connection is growing exponentially. This review will try to read the available evidence in a hypothesis-oriented perspective, starting from the description of NAD+ and of ecto- and endoenzymes involved in its metabolism

Large cryptic genomic rearrangements with apparently normal karyotypes detected by array-CGH.

Background: Conventional karyotyping (550 bands resolution) is able to identify chromosomal aberrations >5-10 Mb, which represent a known cause of intellectual disability/developmental delay (ID/DD) and/or multiple congenital anomalies (MCA). Array-Comparative Genomic Hybridization (array-CGH) has increased the diagnostic yield of 15-20%. Results: In a cohort of 700 ID/DD cases with or without MCA, including 15 prenatal diagnoses, we identified a subgroup of seven patients with a normal karyotype and a large complex rearrangement detected by array-CGH (at least 6, and up to 18 Mb). FISH analysis could be performed on six cases and showed that rearrangements were translocation derivatives, indistinguishable from a normal karyotype as they involved a similar band pattern and size. Five were inherited from a parent with a balanced translocation, whereas two were apparently de novo. Genes spanning the rearrangements could be associated with some phenotypic features in three cases (case 3: DOCK8; case 4: GATA3, AKR1C4; case 6: AS/PWS deletion, CHRNA7), and in two, likely disease genes were present (case 5: NR2F2, TP63, IGF1R; case 7: CDON). Three of our cases were prenatal diagnoses with an apparently normal karyotype. Conclusions: Large complex rearrangements of up to 18 Mb, involving chromosomal regions with similar size and band appearance may be overlooked by conventional karyotyping. Array-CGH allows a precise chromosomal diagnosis and recurrence risk definition, further confirming this analysis as a first tier approach to clarify molecular bases of ID/DD and/or MCA. In prenatal tests, array-CGH is confirmed as an important tool to avoid false negative results due to karyotype intrinsic limit of detection