908 resultados para catch-up growth
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In May, June and July 1996, samples wcre collected along one transect greatly influenced by river discharge (eastern side of the gulf), along one transect slightly influence by river discharge (western side), at one station Iocated in the mouth of the main river (River Daugava), at one station located in the center of the Gulf and at several nearshore locations of the western side. Ratios of rnolecular concentrations of in situ dissolved ioorganic nitrogen, phosphorus and silicon, as weIl as enrichment bioassays were llsed to dctcrrnine which nutrient (s) lirnited the potential biomass of phytoplankton. Both comparison of (NO.d-N02+NJ.L): P04 (DIN: DIP) values with Redfic1d's ratio and bioassay inspection led to the sarne conclusions. Phosphorus was clearly the nutrient most limiting for the potcntial biornass of test species in nitrogen- rich waters, which occurred in mid spring, in the upper layer of the southern-eastern part of the Gulf which is greatly influenced by river discharge. In late spring, with the decrease of the total DIN reserve, nitrogen and phosphorus showed an equallimiting role. In deeper layers of this area and out of the river plume (western side and central part of the gulf), nitrogen was the limiting nutrient. In summer, whcn river discharge was the lowest, a11 DIN concentrations but one ranged between 1.6 and 2.6 µM, and the whole area was nitrogen-limited for both the cyanobacterial and the algal test strains. In 74% of the samples for which nitrogen was the limiting nutrient, phosphorus was recorded to be the second potentially limiting nutrient. In contrast, silicon never appeared as limiting the growth potential of either Microcystis aeruginosa or Phaeodactylum tricornutum; phosphorus was the limiting nutrient when DIN: Si03 values were >1 (in May), but DIN: Si03 was <1 when nitrogen was limiting (June and July). The authors conclude that the recently reported decrease of silicon loading in coastal waters and its subsequent enhanced importance in pushing the outcome of species competition towards harmful species may not yet be the most important factor for the Gulf of Riga. Iron appeared for 12% of the tests in the list of nutrients limiting the potential biomass. Tentative results also indicated that a significant fraction of the nitrogen (~,4 µg-atom N 1(-1) taken up by Microcystis aeruginosa may have been in the form of dissolved organic nitrogen (DON). It is thus also suggested tentatively that more attention be paid to these nitrients during further research in the Gulf of Riga.
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Neste artigo, pretende-se desenvolver uma versão desagregada da abordagem pós-Keynesiana para o crescimento econômico, mostrando que de fato esse modelo pode ser tratado como um caso particular do modelo Pasinettiano de mudança estrutural e crescimento econômico. Utilizando-se o conceito de integração vertical, torna-se possível conduzir a análise iniciada por Kaldor (1956) e Robinson (1956, 1962), e seguido por Dutt (1984), Rowthorn (1982) e, posteriormente, Bhaduri e Marglin (1990) em um modelo multi-sectorial em que há aumentos da demanda e produtividade em ritmos diferentes em cada setor. Ao adotar essa abordagem, é possível mostrar que a dinâmica de mudança estrutural está condicionada não apenas aos padrões de demanda de evolução das preferências e da difusão do progresso tecnológico, mas também com as características distributivas da economia, que podem dar origem a diferentes regimes setoriais de crescimento econômico. Além disso, é possível determinar a taxa natural de lucro que faz com que a taxa de mark-up seja constante ao longo do tempo. _________________________________________________________________________________ ABSTRACT
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Background: Retinopathy of prematurity (ROP) is a disorder of developing retina of low birth weight preterm infants which can lead to blindness. One theory attributes the fibrosis seen in ROP to deregulation of vascularization in the retina. Vascular endothelial growth factor (VEGF) is one of the important mediators involved in vascularization. Objectives: This study was carried out to assess the role of VEGF and its receptor in retinopathy of prematurity. Patients and Methods: Around 200 preterm infants born in SSK hospital were screened at 33 - 34 weeks. These babies were followed up according to the international classification of retinopathy of prematurity (ICROP) criteria. Those infants who developed ROP at 38 - 40 weeks were enrolled in group A while an equal number of infants who did not develop ROP were included in group B. Each group comprised of 30 subjects each. Venous sampling was carried out twice, once at 33 - 34 weeks and then again at 38 - 40 weeks. VEGF and VEGF-R2 were estimated by commercially available ELISA kits. Results: There was no statistically significant difference between the levels of VEGF and VEGF-R2 in both groups at first visit as well as the follow up visit. However, the intra-group difference was significant between the first and the final visit in VEGF and VEGF-R2 levels in the cases with ROP. In the control population, the VEGF levels were significantly lower in the follow up visit as compared to the initial visit. Conclusions: Our study demonstrates that a significant difference is seen in the serum VEGF and VRGF-R2 in the second visit of the infants with ROP demonstrating that VEGF might be responsible for the initiation and aggravation of ROP.
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Background: Infants with fetal growth retardation (FGR) are prone to intestinal disorders. Objectives: Aim of the study was to determine the role of mucosal defense ability in formation of gut injury in infants with FGR. Materials and Methods: 44 premature infants who were admitted to the Neonatal Intensive Care Unit were divided into two groups: 20 infants with FGR (FGR group) and 24 appropriate-for-gestational age newborns (AGA group). Control group consisted of 22 premature infants who were delivered after uncomplicated pregnancy. Gut barrier function was evaluated by detecting serum intestinal trefoil factor (ITF) and intestinal fatty acid binding protein (IFABP). The level of serum IFABP and ITF was measured by using ELISA method. Results: FGR group showed significantly higher ITF concentration than AGA group on the first days of life (P ˂ 0.01). High level of ITF in the FGR group significantly declines up to 7th - 10th day of life (P ˂ 0.01). This reduction was accompanied by increase of IFABP which is a marker of ischemic intestinal mucosal injury. Correlation analyses showed that ITF had a negative correlation with IFABP. Conclusions: Infants with fetal growth retardation are characterized by a high level of ITF on the first days of life. This protects intestinal mucosa under hypoxic conditions. Its subsequent decline accompanied by an increase of IFABP reflects the depletion of Goblet cells to secret ITF causing damage to the integrity of intestinal mucosal barrier.
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O sistema automatizado Bioscreen C foi utilizado para o crescimento de quatro linhagens de Mucor hiemalis, isoladas do solo da Estação Ecológica de Juréia-Itatins (EEJI), estado de São Paulo, em meios líquidos com uma única fonte de carbono (2%) ou de nitrogênio (1%), pH 5,0, a 25ºC, e agitação de 150rpm por 5 dias. O meio com somente uma única fonte de nitrogênio foi adicionado com 2% de glicose. As leituras de densidade óptica foram realizadas a 540nm, em intervalos de 2h, por cinco dias. Os resultados foram analisados estatisticamente com o Teste de Friedman (alfa = 5%). Os melhores crescimentos foram obtidos com as linhagens M1, M2 e M3, que atingiram o início da fase log em 60 horas de cultivo. As melhores fontes de carbono variaram de acordo com a linhagem estudada, e extrato de levedura provou ser a melhor fonte de nitrogênio para todas as linhagens. Acetato de sódio inibiu o crescimento das quatro linhagens, sendo a M3 a mais afetada. O uso do sistema automatizado foi muito conveniente para as culturas em meio liquido, sendo rápido e automático, constituindo em uma boa técnica para a determinação das condições ambientais ótimas para crescimento de fungos filamentosos.
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Aims: Investigating tracking of fatness from childhood to adolescence, early adolescence to young adulthood and late adolescence to young adulthood. Subjects and methods: Participants from the Madeira Growth Study were followed during an average period of 7.2 years. Height, body mass, skin-folds and circumferences were measured, nine health- and performance-related tests were administered and the Baecke questionnaire was used to assess physical activity. Skeletal maturity was estimated using the TW3 method. Results: The prevalence of overweight plus obesity ranged from 8.2–20.0% at baseline and from 20.4–40.0% at followup, in boys. Corresponding percentages for girls were 10.6– 12.0% and 13.2–18.0%. Inter-age correlations for fatness indicators ranged from 0.43–0.77. BMI, waist circumference and sum of skin-folds at 8, 12 and 16-years old were the main predictors of these variables at 15, 19 and 23-years old, respectively. Strength, muscular endurance and aerobic fitness were negatively related to body fatness. Physical activity and maturation were independently associated with adolescent (15 years) and young adult (19 years) fatness. Conclusions: Over 7.2 years, tracking was moderate-to-high for fatness. Variance was explained by fatness indicators and to a small extent by physical fitness, physical activity and maturation.
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Background: Although the negative consequences on health of being obese are well known, most adults gain weight across the lifespan. The general increase in body mass index (BMI) is mainly considered to originate from behavioral and environmental changes; however, few studies have evaluated the influence of these factors on change in BMI in the presence of genetic risk. We aimed to study the influence of multifactorial causes of change in BMI, over 65 years. Methods and Findings: Totally, 6130 participants from TwinGene, who had up to five assessments, and 536 from the Swedish Adoption/Twin Study of Aging, who had up to 12 assessments, ranging over 65 years were included. The influence of lifestyle factors, birth cohort, cardiometabolic diseases and an individual obesity genetic risk score (OGRS) based on 32 single nucleotide polymorphisms on change in BMI was evaluated with a growth model. For both sexes, BMI increased from early adulthood to age of 65 years, after which the increase leveled off; BMI declined after age of 80 years. A higher OGRS, birth after 1925 and cardiometabolic diseases were associated with higher average BMI and a steeper increase in BMI prior to 65 years of age. Among men, few factors were identified that influence BMI trajectories in late life, whereas for women type 2 diabetes mellitus and dementia were associated with a steeper decrease in BMI after the age of 65 years. Conclusions: There are two turning points in BMI in late adulthood, one at the age of 65 years and one at the age 80 years. Factors associated with an increase in BMI in midlife were not associated with an increase in BMI after the age of 65 years. These findings indicate that the causes and consequences of change in BMI differ across the lifespan. Current health recommendations need to be adjusted accordingly.
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Aims: Investigating tracking of fatness from childhood to adolescence, early adolescence to young adulthood and late adolescence to young adulthood. Subjects and methods: Participants from the Madeira Growth Study were followed during an average period of 7.2 years. Height, body mass, skin-folds and circumferences were measured, nine health- and performance-related tests were administered and the Baecke questionnaire was used to assess physical activity. Skeletal maturity was estimated using the TW3 method. Results: The prevalence of overweight plus obesity ranged from 8.2–20.0% at baseline and from 20.4–40.0% at followup, in boys. Corresponding percentages for girls were 10.6– 12.0% and 13.2–18.0%. Inter-age correlations for fatness indicators ranged from 0.43–0.77. BMI, waist circumference and sum of skin-folds at 8, 12 and 16-years old were the main predictors of these variables at 15, 19 and 23-years old, respectively. Strength, muscular endurance and aerobic fitness were negatively related to body fatness. Physical activity and maturation were independently associated with adolescent (15 years) and young adult (19 years) fatness. Conclusions: Over 7.2 years, tracking was moderate-to-high for fatness. Variance was explained by fatness indicators and to a small extent by physical fitness, physical activity and maturation.