Background Elevated serum urate levels can lead to gout and are associated with cardiovascular risk factors. We performed genome-wide association to search for genetic susceptibility loci for serum urate and gout, and investigated the causal nature of the associations of serum urate with gout and selected cardiovascular risk factors and coronary heart disease (CHD). Methods and Results Meta-analyses of genome-wide association studies (GWAS) were performed in 5 population-based cohorts of the CHARGE consortium for serum urate and gout in 28,283 white individuals. The effect of the most significant SNP at all genome-wide significant loci on serum urate was added to create a genetic urate score. Findings were replicated in the Women’s Genome Health Study (WGHS; n=22,054). SNPs at 8 genetic loci achieved genome-wide significance with serum urate levels (p-values 4×10−8 to 2×10−242; SLC22A11, GCKR, R3HDM2-INHBC region, RREB1, PDZK1, SLC2A9, ABCG2, SLC17A1). Only two loci [SLC2A9, ABCG2] showed genome-wide significant association with gout. The genetic urate score was strongly associated with serum urate and gout (odds ratio 12.4 per 100 umol/L; p-value=3×10−39), but not with blood pressure, glucose, eGFR, chronic kidney disease, or CHD. The lack of association between the genetic score and the latter phenotypes was also observed in WGHS. Conclusions The genetic urate score analysis suggested a causal relationship between serum urate and gout but did not provide evidence for one between serum urate and cardiovascular risk factors and CHD.

Photoacoustic tomography (PAT) of genetically encoded probes allows imaging of targeted biological processes with high spatial resolution at depths. Here, we combined multi-scale photoacoustic imaging with, for the first time, a reversibly switchable non-fluorescent bacterial phytochrome BphP1. With a heme-derived biliverdin chromophore, BphP1 has the most red-shifted absorption among reported genetically encoded probes, and is reversibly photoconvertible between its red and near-infrared light absorption states. We combined single-wavelength PAT with efficient BphP1 photoswitching, enabling differential imaging that substantially removed background signals, enhanced detection sensitivity, increased penetration depth, and improved spatial resolution. In doing so, we monitored tumor growth and metastasis with a ~100 µm resolution at depths approaching 10 mm using photoacoustic computed tomography, and imaged individual cancer cells with a sub-optical-diffraction resolution of ~140 nm using photoacoustic microscopy. This technology is promising for biomedical studies at different length scales.

Objective: To investigate the association between birth weight and risk of type 2 diabetes, abdominal obesity and hypertension among Chinese adults. Research methods and procedures: Nine hundred and seventy-three individuals from a population-based cross-sectional survey for the prevalence of type 2 diabetes conducted in Shanghai in 2002 were enrolled and followed up to 2004 with yearly examination. Birth weight was classified into four categories: !2500, 2500-2999, 3000-3499 and R3500 g. Results: In this study, there were 373 males and 600 females, with a mean age of 46.2G9.9 years. Fasting plasma glucose was higher in subjects with the lowest birth weight (!2500 g) compared with those with the highest birth weight. Waist circumference and systolic blood pressure showed U-shaped relationships with birth weight. Birth weight was found to be an independent risk factor for type 2 diabetes, abdominal obesity and hypertension. For type 2 diabetes, the crude odds ratio (95% confidence interval) was 3.17 (1.48-6.78) in the lowest birth weight category when compared with that in the highest birth weight category (R3500 g) and the ratio increased to 3.97 (1.71-9.22) after adjustment for related variables. The highest prevalence of type 2 diabetes (34.5%) was observed among those with the lowest birth weight and abdominal obesity. Conclusions: Birth weight is inversely associated with the risk of type 2 diabetes. Subjects with the lowest or the highest birth weight were associated with a high risk of developing abdominal obesity and hypertension. Low birth weight coupled with abdominal obesity is a strong predictor of type 2 diabetes.European Journal of Endocrinology 155 601-607