Objective To determine whether genetic variants associated with diabetes and obesity predict gestational weight gain. Study Design 960 participants in the Pregnancy, Infection and Nutrition cohorts were genotyped for 27 single-nucleotide polymorphisms (SNPs) associated with diabetes and obesity. Results Among white and black women (n=960), KCNQ1 risk allele carriage was directly associated with weight gain (p < 0.01). In Bayesian hierarchical models among white women (N=628), we found posterior odds ratios > 3 for inclusion of TCF2 and THADA SNPs in our models. Among black women (n=332), we found associations between risk allele carriage and weight gain for the THADA and INSIG2 SNPs. In Bayesian variable selection models, we found an interaction between the TSPAN8 risk allele and pre-gravid obesity, with lower weight gain among obese risk allele carriers. Conclusion We found evidence that diabetes and obesity risk alleles interact with maternal pre-gravid BMI to predict gestational weight gain.

PURPOSE This study examined how characteristics of practice leadership affect the change process in a statewide initiative to improve the quality of diabetes and asthma care. METHODSWe used a mixed methods approach, involving analyses of existing quality improvement data on 76 practices with at least 1 year of participation and focus groups with clinicians and staff in a 12-practice subsample. Existing data included monthly diabetes or asthma measures (clinical measures) and monthly practice implementation, leadership, and practice engagement scores rated by an external practice coach. RESULTSOf the 76 practices, 51 focused on diabetes and 25 on asthma. In aggregate, 50% to 78% made improvements within in each clinical measure in the fi rst year. The odds of making practice changes were greater for practices with higher leadership scores (odds ratios = 2.41-4.20). Among practices focused on diabetes, those with higher leadership scores had higher odds of performing nephropathy screening (odds ratio = 1.37, 95% CI, 1.08-1.74); no signifi cant associations were seen for the intermediate outcome measures of hemoglobin A 1c , blood pressure, and cholesterol. Focus groups revealed the importance of a leader, typically a physician, who believed in the transformation work (ie, a visionary leader) and promoted practice engagement through education and cross-training. Practices with greater change implementation also mentioned the importance of a midlevel operational leader who helped to create and sustain practice changes. This person communicated and interacted well with, and was respected by both clinicians and staff. CONCLUSIONSIn the presence of a vision for transformation, operational leaders within practices can facilitate practice changes that are associated with clinical improvement.

Yeast replicative aging is a process resembling replicative aging in mammalian cells. During aging, wild-type haploid yeast cells enlarge, become sterile, and undergo nucleolar enlargement and fragmentation; we sought gene expression changes during the time of these phenotypic changes. Gene expression studied via microarrays and quantitative real-time reverse-transcription polymerase chain reaction (qPCR) has shown reproducible, statistically significant changes in messenger RNA (mRNA) of genes at 12 and 18-20 generations. Our findings support previously described changes towards aerobic metabolism, decreased ribosome gene expression, and a partial environmental stress response. Our findings include a pseudostationary phase, downregulation of methylation-related metabolism, increased nucleotide excision repair-related mRNA, and a strong upregulation of many of the regulatory subunits of protein phosphatase I (Glc7). These findings are correlated with aging changes in higher organisms as well as with the known involvement of protein phosphorylation states during yeast aging.

Objective Chronic disease collaboratives help practices redesign care delivery. The North Carolina Improving Performance in Practice program provides coaches to guide implementation of 4 key practice changes: registries, planned care templates, protocols, and self-management support. Coaches rate progress using the Key Drivers Implementation Scales (KDIS). This study examines whether higher KDIS scores are associated with improved diabetes outcomes. Methods We analyzed clinical and KDIS data from 42 practices. We modeled whether higher implementation scores at year 1 of participation were associated with improved diabetes measures during year 2. Improvement was defined as an increase in the proportion of patients with hemoglobin A1C values <9%, blood pressure values <130/80 mmHg, and low-density lipoprotein (LDL) levels <100 mg/dL. Results Statistically significant improvements in the proportion of patients who met the LDL threshold were noted with higher “registry” and “protocol” KDIS scores. For hemoglobin A1C and blood pressure values, none of the odds ratios were statistically significant. Conclusions Practices that implement key changes may achieve improved patient outcomes in LDL control among their patients with diabetes. Our data confirm the importance of registry implementation and protocol use as key elements of improving patient care. The KDIS tool is a pragmatic option for measuring practice changes that are rooted in the Chronic Care Model.