The Impact of Familial Predisposition to Obesity and Cardiovascular Disease on Childhood Obesity

The prevalence of childhood obesity has reached alarming rates world-wide. The aetiology seems to be an interplay between genetic and environmental factors, and a surrogate measure of this complex interaction is suggested as familial predisposition. Familial predisposition to obesity and related cardiovascular disease (CVD) complications constitute the presence of obesity and/or obesity-related complications in primarily blood-related family members. The approaches of its measurement and applicability vary, and the evidence especially of its influence on obesity and obesity treatment in childhood is limited. Studies have linked a familial predisposition of obesity, CVD (hypertension, dyslipidaemia and thromboembolic events), and type 2 diabetes mellitus to BMI as well as other adiposity measures in children, suggesting degrees of familial aggregation of metabolic derangements. A pattern of predispositions arising from mothers, parents or grandparents as being most influential have been found, but further comprehensive studies are needed in order to specify the exact implications of familial predisposition. In the scope of childhood obesity this article reviews the current literature regarding familial predisposition to obesity and obesity-related complications, and how these familial predispositions may impact obesity in the offspring.Key Words: Pediatric obesity, Familial predisposition, Cardiovascular diseases, Diabetes mellitus type 2     

Functional trait space and the latitudinal diversity gradient

The processes causing the latitudinal gradient in species richness remain elusive. Ecological theories for the origin of biodiversity gradients, such as competitive exclusion, neutral dynamics, and environmental filtering, make predictions for how functional diversity should vary at the alpha (within local assemblages), beta (among assemblages), and gamma (regional pool) scales. We test these predictions by quantifying hypervolumes constructed from functional traits representing major axes of plant strategy variation (specific leaf area, plant height, and seed mass) in tree assemblages spanning the temperate and tropical New World. Alpha-scale trait volume decreases with absolute latitude and is often lower than sampling expectation, consistent with environmental filtering theory. Beta-scale overlap decays with geographic distance fastest in the temperate zone, again consistent with environmental filtering theory. In contrast, gamma-scale trait space shows a hump-shaped relationship with absolute latitude, consistent with no theory. Furthermore, the overall temperate trait hypervolume was larger than the overall tropical hypervolume, indicating that the temperate zone permits a wider range of trait combinations or that niche packing is stronger in the tropical zone. Although there are limitations in the data, our analyses suggest that multiple processes have shaped trait diversity in trees, reflecting no consistent support for any one theory.Species richness increases toward the equator (1, 2) in major clades of both extant and extinct species of plants and animals (3, 4). The generality of the pattern hints at a correspondingly general explanation, yet the latitudinal gradient in species richness remains one of ecology’s greatest unsolved puzzles. Long-running debates over the causes of the latitudinal gradient of species richness have focused on ecological, evolutionary, and geographic explanations (5–10). Although there has been some progress (11), it is also increasingly clear that there are numerous obstacles to understanding the primary drivers of the latitudinal gradient, including an ever-increasing number of hypotheses (12, 13), challenges in clearly separating their interdependencies (14, 15), and difficulties in rigorously falsifying their assumptions and predictions (16).More powerful tests of biodiversity theories need to move beyond species richness and instead explicitly focus on the mechanisms generating the gradient, by recasting the theories in terms of other measures of diversity, such as functional diversity (17–19). For example, explanations that assume species richness is limited by resource availability have often focused on the strength of species interactions, life history differences, and environmental constraints on how species pack into niche space (20). Evolutionary hypotheses have focused on differences in diversification rates, as well as the influence of species interactions on diversification rates (9). These interaction-based explanations implicitly refer to the degree of ecological differentiation among species, and therefore to trait dispersion within clades and assemblages, suggesting that patterns of functional diversity may provide a more powerful test of theory than taxonomic richness (21).A particularly important concept that unifies many ecological and evolutionary theories is the concept of the Hutchinsonian multidimensional niche (22). Hutchinsonian niches can be quantified by assessing the functional trait hypervolumes that characterize phenotypic space occupied by a set of species. Quantifying the volume, overlap, and packing of functional trait space at different spatial scales enables inferences about how differing ecological and evolutionary processes structure functional diversity and ecological strategies (23, 24).Here, we recast several contrasting hypotheses for the latitudinal gradient in terms of functional trait space. We focus on the proximate ecological mechanisms that ultimately can influence evolutionary processes. We quantify tree functional trait space across latitude at three spatial scales: (i) within assemblages (alpha), (ii) among assemblages (beta), and (iii) among biomes (gamma). For alpha and beta analyses, we use tree species assemblage data from 620 standardized 0.1-ha forest plots (Fig. 1A); for gamma analyses, we calculated the latitudinal range distributions for 520 New World tree species where we had sufficient data on geographic distribution and functional traits. In total, across all analyses, we used paired geographic occurrence data with trait data for 6,839 tree species.Open in a separate windowFig. 1.(A) Spatial distribution of the 620 0.1-ha forest plots used in this study. Plots are colored by richness. Plots cover most of the New World forested climate space (Fig. S1). (B) Relationship between absolute latitude and alpha hypervolume for tropical (red triangles) and temperate (blue pluses) plots. (C) Alpha hypervolume as a function of effective species richness (number of species with full trait coverage). We compare this hypervolume with a null expectation based on sampling the same number of species from the regional pool (median, dark gray line; 90% quantile range, light gray envelope).We primarily measured hypervolumes for three central traits hypothesized to characterize major axes of ecological strategy variation (25): specific leaf area (SLA), maximum height, and seed mass. SLA represents the tradeoff between leaf longevity and maximum photosynthetic rate (26); height is important for light competition and dispersal (27); and seed mass represents tradeoffs between fecundity, dispersal, and seedling survival (27). Although whole-plant resource strategies can be more fully assessed in higher dimensions (28, 29), we focus on these traits because of data availability (Materials and Methods). We use a hypervolume algorithm for calculating the volume and overlap of trait space (30) (Materials and Methods). All hypervolumes are reported in units of SDs of centered and scaled log-transformed trait values, raised to the power of the number of trait dimensions used.At all scales, our overall results and conclusions are similar (i) with and without gap-filling missing data, (ii) if we use convex hulls instead of hypervolumes to calculate trait spaces, and (iii) if we include additional trait axes. Additional details are given in Figs. S2–S7.     

What to listen for in the consultation. Breast cancer patients’ own focus on talking about acceptance-based psychological coping predicts decreased psychological distress and depression

Objective

To analyze whether qualitative themes in breast cancer patients’ self-presentations predicted symptoms of psychological distress and depression in order to improve the consultation process.

Methods

Ninety-seven breast cancer patients gave unstructured, 10-min self-presentations at their first consultation in a clinical registered trial (CRT identifier: NCT00990977). Self-presentations were categorized thematically and the most prevalent themes investigated as predictors for scores on the symptom check-list 90-revised (SCL-90-R) and the center for epidemiological studies depression scale (CES-D).

Results

Among the qualitative themes, only the percentage of words spent on talking about ‘Acceptance-based psychological coping’ was related to symptoms. In regression models controlling for age, education and time since diagnosis, a stronger focus on acceptance-based coping predicted less psychological distress and depression, respectively. A cross-validation including only the first few minutes of speech per patient confirmed these results and supported their practical utility in health consultations.

Conclusion

Patients’ focus on acceptance-based coping significantly predicted decreased psychological distress and depression, respectively. No other qualitative themes predicted symptoms. Doctor–patient studies may benefit from combined qualitative–quantitative methods.

Practice implications

While quantitative symptom assessment is important for a consultation, health care providers may improve their understanding of patients by attending to patients’ presentations of acceptance-based psychological coping.     

The cost of treating patients with COPD in Denmark--a population study of COPD patients compared with non-COPD controls

This paper describes a population-based study of health care resource use of patients with chronic obstructive pulmonary disease (COPD) compared to non-COPD controls. Through a screening of the Danish Patient Registry for patients admitted with COPD diagnoses for a 5-year period, 1998-2002, 66,000 individuals with COPD still alive at the beginning of 2002 were identified. Their use of health care resources in 2002 were compared with equivalent data, stratified for age, sex and mortality rates, for a control population without COPD based on data for the 300,000 remaining patients on the Danish Patient Registry in 2002. Results indicated that the gross cost of treating patients with COPD in the Danish somatic hospital and primary health care sector corresponded to 10% of the total cost of treating patients of 40 years or more. The net cost for COPD patients was 1.9 billion DKK (256 million euro), 6% of the total annual costs of treating the population of 40 years or more. The gross cost related to any disease and the net cost reflected the resource use which could be attributed to COPD and its related diagnoses. The incidence of inpatient hospital admissions was almost four times higher in the COPD population than in the control group. COPD patients contacted their general practitioner 12 times more per year than non-COPD controls, but for specialist and paramedic treatment in the primary care sector there was no significant difference between COPD patients and non-COPD controls. Only one third of the COPD costs were due to treatment of COPD as the primary diagnosis. The remaining two-thirds of the COPD-related costs were mainly due to admissions for other diseases such as cardio-vascular diseases, other respiratory diseases, and cancer.     

Induction of Bim and Bid gene expression during accelerated apoptosis in severe sepsis

Introduction  

In transgenic animal models of sepsis, members of the Bcl-2 family of proteins regulate lymphocyte apoptosis and survival of sepsis. This study investigates the gene regulation of pro-apoptotic and anti-apoptotic members of the Bcl-2 family of proteins in patients with early stage severe sepsis.     

A single nucleotide polymorphism of macrophage migration inhibitory factor is related to inflammatory response in coronary bypass surgery using cardiopulmonary bypass.

OBJECTIVE: Cardiac surgery causes induction and release of inflammatory mediators that may be regulated by genetic background. Macrophage migration inhibitory factor (MIF) is a proinflammatory mediator that is known to be up-regulated in patients undergoing cardiac operations. Here we analyzed genotype distribution and allele frequency of the MIF-173*G/C single nucleotide polymorphism (SNP) and MIF plasma levels in patients undergoing surgical revascularization with (on-pump, n=45) and without (off-pump, n=34) cardiopulmonary bypass (CPB). METHODS: Genotyping was performed using a real-time PCR-based system with a hybridization probe system specific for the MIF-173*G/C SNP. In on-pump patients, blood samples were drawn before start of CPB, after termination of CPB and 12h postoperatively. In off-pump patients, blood samples were collected before stabilizer placement, after removal of the stabilizer and 12h postoperatively. MIF levels were measured using ELISA technique. RESULTS: Genotype distribution and allele frequencies were comparable between on-pump and off-pump patients. When comparing patients according to MIF genotype, a significant increase of MIF plasma levels after completed coronary bypass grafting using CPB was found in patients heterozygous for the MIF-173*G/C SNP (p<0.05). Moreover, on-pump patients showed significantly decreased MIF plasma levels after 12h postoperatively (p<0.05). In off-pump patients, MIF plasma levels were not significantly different over the time-course and were independent of the genotype. CONCLUSIONS: Patients carrying the C-allele showed significantly increased levels of the proinflammatory cytokine MIF compared to G/G homozygous when revascularization was carried out using CPB. The G/C genotype may be associated with a severe inflammatory reaction and therefore preoperative screening could be beneficial for patients undergoing cardiac surgery using CPB.     

Parenteral vaccination against influenza does not induce a local antigen-specific immune response in the nasal mucosa

The immune response in the nasal mucosa to influenza vaccination in 23 patients scheduled for tonsillectomy was studied. A statistically significant increase in influenza virus-specific serum and oral fluid antibodies was observed 7 days after vaccination. The numbers of influenza virus-specific antibody-secreting cells (ASCs) in peripheral blood also increased significantly 1 week after vaccination. The numbers of ASCs in tonsils and nasal mucosa were compared with data from a recent study of nonvaccinated volunteers. The numbers of influenza virus-specific ASCs in tonsils were significantly higher in the vaccinated group, but, surprisingly, there was no significant difference between the groups in the numbers of ASCs in nasal mucosa. This suggests that the influenza virus-specific antibodies detected in oral fluid are not produced locally in the nasal mucosa and may originate from a systemic source, indicating that the vaccination may favor a systemic immune response.