Early Life Factors and Inter-Country Heterogeneity in BMI Growth Trajectories of European Children: The IDEFICS Study

Background

Starting from birth, this explorative study aimed to investigate between-country differences in body mass index (BMI) trajectories and whether early life factors explain these differences.

Methods

The sample included 7,644 children from seven European countries (Belgium, Cyprus, Germany, Hungary, Italy, Spain, Sweden) participating in the multi-centre IDEFICS study. Information on early life factors and in total 53,409 repeated measurements of height and weight from 0 to <12 years of age were collected during the baseline (2007/2008) and follow-up examination (2009/2010) supplemented by records of routine child health visits. Country-specific BMI growth curves were estimated using fractional polynomial mixed effects models. Several covariates focussing on early life factors were added to the models to investigate their role in the between-countries differences.

Results

Large between-country differences were observed with Italian children showing significantly higher mean BMI values at all ages ≥ 3 years compared to the other countries. For instance, at age 11 years mean BMI values in Italian boys and girls were 22.3 [21.9;22.8; 99% confidence interval] and 22.0 [21.5;22.4], respectively, compared to a range of 18.4 [18.1;18.8] to 20.3 [19.8;20.7] in boys and 18.2 [17.8;18.6] to 20.3 [19.8;20.7] in girls in the other countries. After adjustment for early life factors, differences between country-specific BMI curves became smaller. Maternal BMI was the factor being most strongly associated with BMI growth (p<0.01 in all countries) with associations increasing during childhood. Gestational weight gain (GWG) was weakly associated with BMI at birth in all countries. In some countries, positive associations between BMI growth and children not being breastfed, mothers’ smoking during pregnancy and low educational level of parents were found.

Conclusion

Early life factors seem to explain only some of the inter-country variation in growth. Maternal BMI showed the strongest association with children’s BMI growth.     

Presence of the HNK-1 epitope (3-sulfoglucuronic acid) on oligosaccharides from squid skin chondroitin proteoglycans and degradation of proteoglycans by proteolytic enzymes.

Using competitive ELISA it was found that chondroitin proteoglycans from the skin of squid, which is a primitive organism, are reactive with the HNK-1 monoclonal antibody and that all HNK-1 epitopes of the proteoglycans were present only on their oligosaccharides. Although of the presence of appreciable amounts of glycine, serine and glutamic acid and the absence of hydroxyproline, the proteoglycans were degraded by collagenase and other proteolytic enzymes.     

Purification and characterisation of a minor low-sulphated dermatan sulphate-proteoglycan from ray skin.

A minor low-sulphated dermatan sulphate proteoglycan was isolated from ray skin by extraction with 2% sodium dodecyl sulphate, followed with ion-exchange chromatography, gel chromatography and density gradient centrifugation. The proteoglycan with a relative molecular mass (Mr) ranging from 70 to 120 kDa is composed of about two dermatan sulphate chains (Mr 33 kDa) bound on a protein core of Mr 27 kDa, and oligosaccharides consisting of uronic acids, hexosamines and neutral sugars. The major amino acids of the protein core were glycine (corresponding to about one-fourth of the total amino acids), serine, threonine, glutamic acid/glutamine, leucine and cysteine, together amounting to 56% of the total. The isolated proteoglycan does not interact with hyaluronic acid and does not form self-aggregates. Dermatan sulphate was rich in iduronic acid (62% of total uronic acid) and composed of non-sulphated (44%), and mono-sulphated disaccharides bearing esterified sulphate groups at positions C-4 (53%) or C-6 (3%) of the N-acetyl galactosamine. HPLC analysis of a pure preparation of dermatan sulphate, showed the presence of galactose and glucose possibly as branches on the dermatan sulphate chain.     

Time limits in the control of pollution systems

Exponentially growing pollution systems are examined from the point of view of control. A simplified mathematical model is used. Employing optimal control theory, we show that it is not always possible to drive the state (level of pollution) of such a system to a desired level. We prove that the state has to be smaller than certain bound for the system to be controllable. A specific example illustrates these ideas. The importance of this research lies in the fact that it shows the existence of certain state, and, consequently, time limits in the process of controlling the system.     

Analysis of whole cell lysate from the intercellular bacterium Coxiella burnetii using two gel-based protein separation techniques

Coxiella burnetii, the causative agent of Q fever, is an obligate intracellular gamma-proteobacterium, which replicates within large phagolysosome-like compartments formed in the host cell. The global protein profile of intracellular C. burnetii strain Nine Mile phase II was analyzed by two gel-based approaches coupled to MALDI-TOF MS. Colloidal Coomassie brilliant blue-stained 2-DE gels at the pH range 3-10 resolved over 600 protein spots and 125 spots in doubled-SDS-PAGE gels. Mass spectra obtained for each trypsin-digested protein-spot were compared to the C. burnetii genome database, and a total number of 185 different C. burnetii proteins were identified by both techniques. 2-DE in combination with MALDI-TOF MS, as a high-throughput method, allowed the identification of 172 proteins. On the other hand, the application of doubled-SDS-PAGE allowed the identification of 38 proteins, with some of them being very alkaline and membrane proteins not identified in the 2-DE approach. Most identified proteins were predicted to be involved in metabolism and biosynthesis. Several identified proteins are speculated to have a distinct and vital role in the pathogenesis and survival of C. burnetii within the harsh phagolysosomal environment.     

One-step purification of Taq DNA polymerase using nucleotide-mimetic affinity chromatography

The thermostable Thermus aquaticus DNA polymerase (Taq Pol) has been the key factor in transforming the initial PCR method into one with huge impact in molecular biology and biotechnology. Therefore, the development of effective affinity adsorbents for the purification of Taq Pol, as well as other DNA polymerases, attracts the attention of the enzyme manufacturers and the research laboratories. In this report we describe a simple protocol for the purification of Taq Pol from E. coli lysates, leading to enzymes of high specific activity and purity. The protocol is based on a single affinity chromatography step, featuring an immobilized ligand selected from a structure-biased combinatorial library of dNTP-mimetic synthetic ligands. The ligand library was screened for its ability to bind and purify Taq Pol from E. coli lysates. One immobilized ligand (mABSGu) of the general formula X-Trz-Y, bearing 9-aminoethylguanine (AEGu) and aniline-2-sulfonic acid (mABS) linked on the triazine scaffold (Trz), displayed the highest purifying ability. Adsorption equilibrium studies with this affinity ligand and Taq Pol determined a dissociation constant (KD) of 0.12 mM for the respective complex, whereas ATP prevented the formation of the mABSGu-Taq Pol complex. The mABSGu affinity adsorbent was exploited in the development of a facile Taq Pol purification protocol, affording homogeneous enzyme (>99% purity, approximately 61 500 U/mg) in a single chromatography step. Quality control tests showed that Taq Pol purified on the mABSGu affinity adsorbent is free of nucleic acids and contaminating nuclease activities.     

Spectral jitter modeling and estimation

This paper suggests a new method for short-time jitter estimation based on a mathematical model that describes the coupling of two periodical phenomena. Specifically, jitter is modeled as the movement of one of the two periodic phenomena with respect to the other. The proposed method measures this movement indirectly by taking into account the spectral properties of the suggested model. Experiments with synthetic jitter signals showed that the suggested method produces accurate local estimates of jitter. Further evaluation was conducted on actual normal and pathological voice signals using two databases and jitter estimations from the Multi-Dimension Voice Program (MDVP) and the Praat system. Compared with the corresponding parameters from these two systems, the proposed method outperformed both in normal vs. pathological voice discrimination accuracy by at least 4%. Furthermore, it was shown that these methods actually rely on low-pass information, while the proposed method takes into account the full spectrum. The study of the short-time statistics of the jitter measurements provided by the suggested method indicates that there is a higher correlation with voice pathology compared to that obtained by the other two systems.     

Design of a novel rotating wall bioreactor for the in vitro simulation of the mechanical environment of the endothelial function

Endothelial cells (ECs), besides being a permeability barrier between the blood and vessel wall, perform many important functions, e.g., cell migration, remodeling, proliferation, and the production, secretion and metabolism of biochemical substances, as well as the regulation of contractility of vascular smooth muscle cells (SMCs). Their function is modulated by chemical ligands as well as mechanical factors. The mechanical stresses acting on the vessel wall include the normal and circumferential stresses that result from the action of blood pressure, the shear stress that acts parallel to the luminal surface of the vessel due to blood flow and the magnitude and orientation of the gravitation field. The aim of this work was to design and construct a novel bioreactor for the stimulation of endothelial cells in vitro with a combination of mechanical factors that simulates their in vivo environment.     

β2-Syntrophin is a Cdk5 substrate that restrains the motility of insulin secretory granules

The molecular basis for the interaction of insulin granules with the cortical cytoskeleton of pancreatic β-cells remains unknown. We have proposed that binding of the granule protein ICA512 to the PDZ domain of β2-syntrophin anchors granules to actin filaments and that the phosphorylation/dephosphorylation of β2-syntrophin regulates this association. Here we tested this hypothesis by analyzing INS-1 cells expressing GFP-β2-syntrophin through the combined use of biochemical approaches, imaging studies by confocal and total internal reflection fluorescence microscopy as well as electron microscopy. Our results support the notion that β2-syntrophin restrains the mobility of cortical granules in insulinoma INS-1 cells, thereby reducing insulin secretion and increasing insulin stores in resting cells, while increasing insulin release upon stimulation. Using mass spectrometry, in vitro phosphorylation assays and β2-syntrophin phosphomutants we found that phosphorylation of β2-syntrophin on S75 near the PDZ domain decreases its binding to ICA512 and correlates with increased granule motility, while phosphorylation of S90 has opposite effects. We further show that Cdk5, which regulates insulin secretion, phosphorylates S75. These findings provide mechanistic insight into how stimulation displaces insulin granules from cortical actin, thus promoting their motility and exocytosis.     

Single‐nucleotide Polymorphism of CD36 Locus and Obesity in European Adolescents

CD36 is a membrane receptor with a wide variety of functions, including the regulation of energy metabolism, fat storage, and adipocyte differentiation. To assess the relationship between CD36 gene single‐nucleotide polymorphisms (SNPs) and obesity in adolescents, we evaluated the relationship between CD36 SNPs and the risk of obesity in a case–control study composed of 307 obese (age = 15.0 ± 1.1 years) and 339 normal‐weight adolescents (age = 14.6 ± 1.1 years). To validate the results, we assessed the relation between the same SNPs and percentage of body fat (BF%) and BMI in 1,151 European adolescents (age = 14.8 ± 1.4 years). SNPs with a minor allele frequency >0.10 were selected to tag CD36. Genotyping was performed on an Illumina system. Four SNPs (rs3211867, rs3211883, rs3211908, and rs1527483) were associated with increased risk of obesity in the case–control study (odds ratio (OR) (95% confidence interval)): 1.96 (1.26–3.04], P = 0.003; 1.73 (1.16–2.59), P = 0.007; 2.42 (1.47–4.01), P = 0.0005 and 1.95 (1.25–3.05), P = 0.003, respectively). The same four SNPs were associated with higher BMI (P < 0.05) and BF% (P < 0.04) in the validation study. Further analyses identified a haplotype (frequency: 0.05) carrying the minor allele of these SNPs as being associated with obesity (OR: 2.28; P = 0.0008) in the case–control study and with excess adiposity (i.e., higher BF% (P = 0.03) and BMI (P = 0.04)) in the validation study. Our data suggest that genetic variability at the CD36 gene locus could be associated with body weight variability in European adolescents but these findings require replication.