HDL as a Target for Glycemic Control

HDL has long been known for its role in reverse cholesterol transport, thought in part to explain the well-recognized links between low levels of HDL-C and cardiovascular disease. The past decade has seen increasing evidence from epidemiological, basic science and early human intervention studies that HDL biology is more complex and may influence the onset and progression of type 2 diabetes. Research has identified multiple potential pathways by which higher HDL particle concentrations or functional improvements may ameliorate the development and progression of the disease. These include promotion of insulin secretion and pancreatic islet beta-cell survival, promotion of peripheral glucose uptake, and suppression of inflammation. The relationships between HDL-C levels, commonly used in clinical practice, and HDL particle number, size and various HDL functions is complex, and is intimately linked with triglyceride metabolism. The complexity of these relationships is amplified in diabetes, which negatively impacts multiple aspects of lipoprotein biology. This article reviews the rationale for, and potential of, HDL-based anti-diabetic pharmacotherapy, with an emphasis on the particular challenges posed by diabetes-related HDL dysfunction, and on the difficulties of selecting appropriate targets and HDL-related biomarkers for research and for clinical practice. We discuss aspects of HDL metabolism that are known to be altered in type 2 diabetes, potentially useful measures of HDL-targeted therapy in diabetes, and review early intervention studies in humans. These areas provide a firm foundation for further research and knowledge expansion in this intriguing area of human health and disease.

Inbreeding uncovers fundamental differences in the genetic load affecting male and female fertility in a butterfly

Inbreeding depression is most pronounced for traits closely associated with fitness. The traditional explanation is that natural selection eliminates deleterious mutations with additive or dominant effects more effectively than recessive mutations, leading to directional dominance for traits subject to strong directional selection. Here we report the unexpected finding that, in the butterfly Bicyclus anynana, male sterility contributes disproportionately to inbreeding depression for fitness (complete sterility in about half the sons from brother-sister matings), while female fertility is insensitive to inbreeding. The contrast between the sexes for functionally equivalent traits is inconsistent with standard selection arguments, and suggests that trait-specific developmental properties and cryptic selection play crucial roles in shaping genetic architecture. There is evidence that spermatogenesis is less developmentally stable than oogenesis, though the unusually high male fertility load in B. anynana additionally suggests the operation of complex selection maintaining male sterility recessives. Analysis of the precise causes of inbreeding depression will be needed to generate a model that reliably explains variation in directional dominance and reconciles the gap between observed and expected genetic loads carried by populations. This challenging evolutionary puzzle should stimulate work on the occurrence and causes of sex differences in fertility load.

Estimation of Mycobacterium avium subsp. paratuberculosis load in raw bulk tank milk in Emilia-Romagna Region (Italy) by qPCR

Consumption of milk and dairy products is considered one of the main routes of human exposure to Mycobacterium avium subsp. paratuberculosis (MAP). Quantitative data on MAP load in raw cows’ milk are essential starting point for exposure assessment. Our study provides this information on a regional scale, estimating the load of MAP in bulk tank milk (BTM) produced in Emilia-Romagna region (Italy). The survey was carried out on 2934 BTM samples (88.6% of the farms herein present) using two different target sequences for qPCR (f57 and IS900). Data about the performances of both qPCRs are also reported, highlighting the superior sensitivity of IS900-qPCR. Seven hundred and eighty-nine samples tested MAP-positive (apparent prevalence 26.9%) by IS900 qPCR. However, only 90 of these samples were quantifiable by qPCR. The quantifiable samples contained a median load of 32.4 MAP cells mL−1 (and maximum load of 1424 MAP cells mL−1). This study has shown that a small proportion (3.1%) of BTM samples from Emilia-Romagna region contained MAP in excess of the limit of detection (1.5 × 101 MAP cells mL−1), indicating low potential exposure for consumers if the milk subsequently undergoes pasteurization or if it is destined to typical hard cheese production.

Genomic meningococcal load in the nasopharynx of children with meningococcal disease

This study demonstrates the feasibility of using quantitative real time PCR to measure genomic bacterial load in the nasopharynx of children with invasive meningococcal disease and shows that these loads are exceptionally high (median 6.6 x 105 (Range 1.2 x 105 to 1.1 x 108) genome copies of Neisseria meningitidis per swab).