Association of adenovirus 36 infection with obesity-related gene variants in adolescents.

Both, common gene variants and human adenovirus 36 (Adv36) are involved in the pathogenesis of obesity. The potential relationship between these two pathogenic factors has not yet been investigated. The aim of our study was to examine the association of obesity susceptibility loci with Adv36 status. Genotyping of ten gene variants (in/near TMEM18, SH2B1, KCTD15, PCSK1, BDNF, SEC16B, MC4R, FTO) and analysis of Adv36 antibodies was performed in 1,027 Czech adolescents aged 13.0-17.9 years. Variants of two genes (PCSK1 and BDNF) were associated with Adv36 seropositivity. A higher prevalence of Adv36 antibody positivity was observed in obesity risk allele carriers of PCSK1 rs6232, rs6235 and BDNF rs4923461 vs. non-carriers (chi(2)=6.59, p=0.010; chi(2)=7.56, p=0.023 and chi(2)=6.84, p=0.033, respectively). The increased risk of Adv36 positivity was also found in PCSK1 variants: rs6232 (OR=1.67, 95 % CI 1.11-2.49, p=0.016) and rs6235 (OR=1.34, 95 % CI 1.08-1.67, p=0.010). PCSK1 rs6232 and BDNF rs925946 variants were closely associated with Adv36 status in boys and girls, respectively (chi(2)=5.09, p=0.024; chi(2)=7.29, p=0.026). Furthermore, PCSK1 rs6235 risk allele was related to Adv36 seropositivity (chi(2)=6.85, p=0.033) in overweight/obese subgroup. In conclusion, our results suggest that obesity risk variants of PCSK1 and BDNF genes may be related to Adv36 infection.

Adenovirus 36 infection: a role in dietary intake and response to inpatient weight management in obese girls.

Human adenovirus 36 (Adv36) increases adiposity and is more prevalent in overweight and obese children. Dietary intake in animal models is comparable regardless of Adv36 status. The effects of Adv36 on obesity treatment outcomes have not been clarified. The aim of this study is to investigate the pre-treatment dietary intake and the response to a 4-week inpatient weight management in 184 obese adolescent girls aged 13.0-17.9 years with respect to the presence of Adv36 antibodies. Evaluation of 3-day dietary records did not show any difference in daily intake of energy and essential nutrients between Adv36 antibody positive and negative girls. After the intervention Adv36 positive girls presented with significantly greater decrease of waist circumference (P=0.020), z-score of waist circumference (P=0.024), waist-to-hip ratio (P=0.007) and weight-to-height ratio (P=0.019) compared with Adv36 negative girls. On the contrary, the sum of four skinfolds decreased significantly more in Adv36 negative than in Adv36 positive individuals (P=0.013). Neither body fat percentage nor metabolic and hormonal parameters showed any significant relevance to Adv36 status in response to weight loss intervention. In conclusion, energy restriction in Adv36 antibody positive girls was associated with greater decrease of abdominal obesity and preservation of subcutaneous fat tissue than in those antibody negative.

Clinical and laboratory characteristics of 1179 Czech adolescents evaluated for antibodies to human adenovirus 36.

BACKGROUND: Human adenovirus 36 (Adv36) is associated with obesity in children. Most prior studies have been small and the association of Adv36 status with markers of metabolic risks has been inconsistent. OBJECTIVES: To determine the prevalence of Adv36 antibodies in different weight categories of adolescents and to evaluate the association of Adv36 infection with anthropometric parameters and cardiometabolic health risks. SUBJECTS AND METHODS: In 1179 Czech adolescents (85 underweight, 506 normal weight, 160 overweight and 428 obese), the following variables were evaluated: anthropometric (body weight, height, body mass index, circumferences, fat mass), blood pressure, biochemical and hormonal (lipid profile, glucose, insulin, liver enzymes, adiponectin) and Adv36 antibodies (enzyme-linked immunosorbent assay). RESULTS: Of the total cohort, 26.5% were positive for Adv36 antibodies (underweight: 22.3%; normal weight: 21.5%; overweight: 40.0% and obese: 28.0%). The odds ratio for Adv36 antibody positivity evaluated vs normal weight was 2.61 for overweight (95% confidence interval (CI): 1.77-3.86, P<0.001) and 1.46 for obesity (95% CI: 1.07-1.99, P=0.016). A significantly higher prevalence of Adv36 infection was observed in female subjects (32.5%) in comparison to male subjects (19.7%; P<0.001). Adv36 positivity of the whole cohort was significantly related to body weight (P=0.042), body mass index (P=0.015), hip circumference (P=0.004), body height z-score (P=0.029), and total body fat (P=0.000) and trunk fat (P=0.000). Adv36 antibody-positive girls demonstrated significantly higher body height (167.8 vs 165.0 cm, P=0.01) and waist circumference (77.0 vs 72.0 cm, P=0.01). Infected adolescents exhibited significantly higher levels of total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C), but lower levels of blood glucose. Liver enzymes were significantly increased only in Adv36-positive boys. CONCLUSION: These results demonstrated an association of Adv36 antibodies with obesity and an even greater association with overweight. Adv36 positivity was related to increased fat mass, levels of TC and LDL-C, but to decreased level of blood glucose. No relation to adiponectin levels was revealed.

Retrieval of chlorophyll from remote-sensing reflectance in the china seas.

The East China Sea is a typical case 2 water environment, where concentrations of phytoplankton pigments, suspended matter, and chromophoric dissolved organic matter (CDOM) are all higher than those in the open oceans, because of the discharge from the Yangtze River and the Yellow River. By using a hyperspectral semianalytical model, we simulated a set of remote-sensing reflectance for a variety of chlorophyll, suspended matter, and CDOM concentrations. From this simulated data set, a new algorithm for the retrieval of chlorophyll concentration from remote-sensing reflectance is proposed. For this method, we took into account the 682-nm spectral channel in addition to the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) channels. When this algorithm was applied to a field data set, the chlorophyll concentrations retrieved through the new algorithm were consistent with field measurements to within a small error of 18%, in contrast with that of 147% between the SeaWiFS ocean chlorophyll 2 algorithm and the in situ observation.

Method to derive ocean absorption coefficients from remote-sensing reflectance.

A method to derive in-water absorption coefficients from total remote-sensing reflectance (ratio of the upwelling radiance to the downwelling irradiance above the surface) analytically is presented. For measurements made in the Gulf of Mexico and Monterey Bay, with concentrations of chlorophyll-a ranging from 0.07 to 50 mg/m(3), comparisons are made for the total absorption coefficients derived with the suggested method and those derived with diffuse attenuation coefficients. For these coastal to open-ocean waters, including regions of upwelling and the Loop Current, the results are as follows: at 440 nm the difference between the two methods is 13.0% (r(2) = 0.96) for total absorption coefficients ranging from 0.02 to 2.0 m(-1); at 488 nm the difference is 14.5% (r(2) = 0.97); and at 550 nm the difference is 13.6% (r(2) = 0.96). The results indicate that the method presented works very well for retrieval of in-water absorption coefficients exclusively from remotely measured signals, and that this method has a wide range of potential applications in oceanic remote sensing.

Estimating primary production at depth from remote sensing.

By use of a common primary-production model and identical photosynthetic parameters, four different methods were used to calculate quanta (Q) and primary production (P) at depth for a study of high-latitude North Atlantic waters. The differences among the four methods relate to the use of pigment information in the upper water column. Methods 1 and 2 use pigment biomass (B) as an input and a subtropical, empirical relation between K(d) (diffuse attenuation coefficient) and B to estimate Q at depth. Method 1 uses measured B, but Method 2 uses B derived from the Coastal Zone Color Scanner (subtropical algorithm) as inputs. Methods 3 and 4 use the phytoplankton absorption coefficient (a(ph)) instead of B as input, and Method B uses empirically derived a(ph)(440) and K(d) values, and Method 4 uses analytically derived a(ph)(440) and a (total absorption coefficient) values based on the same remote measurements as Method 2. When the calculated and the measured values of Q(z) and P(z) were compared, Method 4 provided the closest results [for P(z), r(2) = 0.95 (n = 24), and for Q(z), r(2) = 0.92 (n = 11)]. Method 1 yielded the worst results [for P(z), r(2) = 0.56 and for Q(z), r(2) = 0.81]. These results indicate that one of the greatest uncertainties in the remote estimation of P can come from a potential mismatch of the pigment-specific absorption coefficient (a(ph)*), which is needed implicitly in current models or algorithms based on B. We point out that this potential mismatch can be avoided if we arrange the models or algorithms so that they are based on the pigment absorption coefficient (a(ph)). Thus, except for the accuracy of the photosynthetic parameters and the above-surface light intensity, the accuracy of the remote estimation of P depends on how accurately a(ph) can be estimated, but not how accurately B can be estimated. Also, methods to derive a(ph) empirically and analytically from remotely sensed data are introduced. Curiously, combined application of subtropical algorithms for both B and K(d) to subarctic waters apparently compensates to some extent for effects that are due to their similar and implicit pigment-specific absorption coefficients for the calculation of Q(z).