Associações entre Obesidade Eutrófica e Alterações no Perfil Lipídico de Adultos Jovens / Associations between Normal-Weight Obesity and Disturbances in the Lipid Profile of Young Adults

Resumo Fundamento A obesidade eutrófica (OE) é caracterizada por índice de massa corporal (IMC) normal, mas com alto percentual de gordura corporal (%GC), o que aumenta os riscos de comorbidades cardiometabólicas. A avaliação e interpretação precisas dos dados de composição corporal são necessárias para reduzir esses riscos. Objetivos Comparar o perfil cardiometabólico de indivíduos com OE e %GC normal e avaliar os fatores de risco associados. Métodos Foi realizado estudo transversal com 222 adultos brasileiros de uma comunidade universitária, dos quais 157 tinham OE e 65 tinham IMC e %GC normais (grupo sem OE). Todos os participantes relataram ser assintomáticos e sem problemas de saúde subjacentes. Foram avaliadas características socioeconômicas, estilo de vida, consumo alimentar, antropometria, medidas de composição corporal (por meio de absorciometria radiológica de dupla energia) e perfis lipídico e glicêmico. Valor de p < 0,05 foi estabelecido como significativo. Resultados A mediana de idade dos participantes foi de 23 anos (intervalo interquartil: 21 a 25), sendo a maioria do sexo feminino (67,1%). Não foram encontradas diferenças significativas na pressão arterial, idade ou nível de atividade física entre os grupos com e sem OE. No entanto, a frequência de distúrbios do perfil lipídico foi maior no grupo com OE (54%) em comparação com o grupo sem OE (34%) (p < 0,006). Circunferência do pescoço, %GC e distúrbios do perfil lipídico foram positivamente associados com a OE. Conclusão Indivíduos com OE apresentam pior perfil cardiometabólico do que aqueles sem OE, e essa condição está associada a importantes biomarcadores. Torna-se importante abordar esses resultados para prevenir complicações cardiometabólicas de longo prazo. A avaliação e a interpretação precisas dos dados da composição corporal, independentemente do IMC, são cruciais nesse cenário.

Abstract Background Normal-weight obesity (NWO) is characterized by normal body mass index (BMI) but high body fat percentage (%BF) that increases the risks of cardiometabolic comorbidities. Accurate assessment and interpretation of body composition data are necessary to reduce these risks. Objectives To compare the cardiometabolic profile of individuals with NWO and normal %BF and evaluate the associated risk factors. Methods A cross-sectional study was conducted with 222 Brazilian adults from a university community, of whom 157 had NWO and 65 had normal BMI and %BF (non-NWO). All participants reported being asymptomatic and without underlying health conditions. Socioeconomic, lifestyle, food intake, anthropometry, body composition measures (using dual-energy radiological absorptiometry), and lipid and glycemic profiles were evaluated. A p < 0.05 was established as significant. Results The median age of the participants was 23 years (interquartile range: 21 to 25), and most were female (67.1%). No significant differences were found in blood pressure, age, or physical activity levels between the NWO and non-NWO groups. However, the frequency of lipid profile disturbances was higher in the NWO group (54%) compared to the non-NWO group (34%) (p < 0.006). Neck circumference, %BF, and lipid profile disturbances were positively associated with NWO. Conclusion Individuals with NWO have a worse cardiometabolic profile than those without NWO, and this condition is associated with important biomarkers. Addressing these outcomes is important for preventing long-term cardiometabolic complications. Accurate assessment and interpretation of body composition data, regardless of BMI, are crucial in this scenario.

Association mapping for yield and grain quality traits in rice (Oryza sativa L. )

Association analysis was applied to a panel of accessions of Embrapa Rice Core Collection (ERiCC) with 86 SSR and field data from two experiments. A clear subdivision between lowland and upland accessions was apparent, thereby indicating the presence of population structure. Thirty-two accessions with admixed ancestry were identified through structure analysis, these being discarded from association analysis, thus leaving 210 accessions subdivided into two panels. The association of yield and grain-quality traits with SSR was undertaken with a mixed linear model, with markers and subpopulation as fixed factors, and kinship matrix as a random factor. Eight markers from the two appraised panels showed significant association with four different traits, although only one (RM190) maintained the marker-trait association across years and cultivation. The significant association detected between amylose content and RM190 was in agreement with previous QTL analyses in the literature. Herein, the feasibility of undertaking association analysis in conjunction with germplasm characterization was demonstrated, even when considering low marker density. The high linkage disequilibrium expected in rice lines and cultivars facilitates the detection of marker-trait associations for implementing marker assisted selection, and the mining of alleles related to important traits in germplasm.

Molecular characterization of hepatitis A virus isolates from Goiânia, Gioás, Brazil

Hepatitis A virus (HAV) infection is a public health problem worldwide and the virus has been classified into six genotypes. In Brazil, the only genotype that has been found is genotype I, predominately from subgenotype IA. Here, the HAV genotypes were analyzed of 18 isolates circulating between 1996-2001 in Goiânia, state of Goiás, Brazil. Viral RNA was extracted from 18 serum samples and amplified (RT-PCR/nested-PCR), followed by the genomic sequencing of the VP1/2A junction region of the HAV genome. Sequences of 168 nucleotides were compared and analyzed using the BLAST N, Clustal X and PAUP v. 4.10b programs. All samples were classified as genotype I, with 10 belonging to subgenotype IA and eight to subgenotype IB. The subgenotype IA isolates showed greater diversity than the subgenotype IB isolates at the nucleotide level. Elevated identity values were found between isolates obtained in this study and those from other regions of the world, including Brazil, highlighting the high conservation among different isolates of this virus. However, changes in the HAV subgenotype circulation could also be observed during the evaluated period.

Comparative linkage mapping of Oryza glumaepatula and Oryza sativa interspecific crosses based on microsatellite and expressed sequence tag markers

Molecular linkage maps representing the rice genome have been an important tool for breeding programs because they allow the elucidation of polygenic traits and are an efficient tool for monitoring wild introgressions in interspecific crosses. Common markers among rice genetic maps are important in defining the homology of chromosomes and the synteny between genomic target regions. We used 148 markers (expressed sequence tags, microsatellites and single nucleotide polymorphisms) to construct a molecular linkage map based on co-dominant markers for an interspecific backcross population using a wild rice (Oryza glumaepatula) from Brazil and performed a comparative analysis with other interspecific maps. The comparative analysis revealed a Spearman correlation index of 0.86 for marker order conservation to a previous map constructed for an interspecific cross using the same wild parent. Approximately 90 percent of markers common to other interspecific maps kept the same order. These results indicate that it will be possible to generate a unique genetic map using the wild donor and that it may be a helpful tool for breeding programs because plants derived from different interspecific populations can be rapidly scanned using markers associated with useful wild traits.

Factorial analysis of bootstrap variances of population genetic parameter estimates

We presented an alternative way to verify the relative contribution to the total variance, of the sources of variation due to populations (P), individuals within populations (I), the (P*I) interaction, and the standard error of the following parameter estimates: total (F) and intrapopulation (f) fixation indices, and divergence among populations (q). The knowledge of this relative contribution is important to establish sampling strategies of natural populations. To attain these objectives, the bootstrap method was used to resample simultaneously populations and individuals, considering different combinations of P and I. This procedure was repeated five times for a given combination of each analyzed data set. For each data set, five estimates of these variances were obtained for each combination of P and I, and a given parameter estimate. These variance estimates were submitted to an analysis of variance, considering a factorial structure. The sources of variation considered in this analysis were P, I and P*I. The coefficient of determination (R²) was calculated for each source of variation. Sources of variation with greater R² are responsible for bigger errors of the estimates. The method applied was efficient for answering the questions initially proposed, and the results indicated that there are no ideal sample sizes for a species, but rather for a specific data set, because each data set has its own particularities. However, for investigations on the genetic structure of natural populations using population parameters, the number of populations to be sampled is a critical factor. Thus, more efforts should be made to increase the number of sampled populations, rather than the number of individuals within populations. A sampling strategy is given as a guide for investigations of this kind, when there is no previous knowledge about the genetic structure and the mating system of the populations.

Genetic structure and gene flow in Eugenia dysenterica DC in the Brazilian Cerrado utilizing SSR markers

The ''cagaita tree'' (Eugenia dysenterica) is a plant found widespread in the Brazilian Cerrado. Its fruit is used for popular consumption and for industrial purposes. This study opens a new perspective for the generation of population genetic data and parameters estimates for devising sound collection and conservation procedures for Eugenia dysenterica. A battery of 356 primer pairs developed for Eucalyptus spp. was tested on the ''cagaita tree''. Only 10 primer pairs were found to be transferable between the two species. Using a polyacrilamide gel, an average of 10.4 alleles per locus was detected, in a sample of 116 individuals from 10 natural ''cagaita tree'' populations. Seven polymorphic loci allowed estimation of genetic parameters, including expected average heterozygosity He = 0,442, among population diversity, R ST = 0,268 and gene flow Nm = 0,680. Results indicated a potential of SSR locus transferability developed for Eucalyptus to other species of different genera, such as in the case of the ''cagaita tree''. The high genetic diversity among populations detected with SSR markers indicated that these markers are highly sensitive to detect population structure. Estimated Nm values and the existence of private alleles indicated reduced gene flow and consequently possible damage to the metapopulation structure.

Assessment of genetic variability within and among coffee progenies and cultivars using RAPD markers

The RAPD technique associated with restriction digestion of genomic DNA was used to assess the genetic variability within and among nine populations of Coffea arabica, including six progenies belonging to the Sarchimor germplasm, the progeny PR 77054-40-10 (Catuaí Vermelho IAC 81 x Icatu), and two commercial cultivars (IAPAR 59 and Catuaí Vermelho IAC-81). These populations were evaluated using analysis of molecular variance (AMOVA), genetic similarity among progenies, and percentage of polymorphic loci. A total of 99 RAPD markers were evaluated of which 67 (67.67 percent) were polymorphic. AMOVA showed that 38.5 percent and 61.5 percent of the genetic variation was distributed among and within populations, respectively. The fixation index (F ST) of the genotypes was 0.385. The mean genetic variability estimated within populations ranged from 15.58 (IAPAR 59) to 8.27 (Catuaí Vermelho IAC 81). A distinct level of genetic variability was revealed for each of the coffee progenies and varieties studied. The methodology used in this investigation was useful to determine the genetic variability within and among C. arabica L. populations providing significant information for coffee breeding

Análise da sobrevida de pacientes com câncer de mama localmente avançado submetidas à quimioterapia neo-adjuvante (FACV) / Analysis of the survival of patients with locally advanced breast neoplasm submitted to neoadjuvant chemotherapy (FACV)

Com o objetivo de avaliar a sobrevida de pacientes com câncer de mama localmente avançado, 71 pacientes com carcinoma de mama, estadio clínico III, foram submetidas à quimioterapia neo-adjuvante com o esquema FACV (ciclofosfamida 400 mg/m2, 5-fluorouracil 400 mg/m2, adriamicina 10 mg/m2 e vincristina 1 mg/m2). Foram realizados 6 ciclos, semanalmente, seguidos de mastectomia e mais 11 ciclos quinzenalmente. As curvas de sobrevida foram calculadas pelos estimadores de Kaplan e Meier. Como resultado, a mediana de seguimento das pacientes foi de 24 meses, variando de 1 a 93 meses. Aos 60 meses, a sobrevida livre de recidiva local foi de 60 por cento, a sobrevida livre de doença foi de 26 por cento e a sobrevida total foi de 52 por cento. A mediana de tempo para a recidiva local foi de 14 meses e a mediana de tempo para o aparecimento de metástases foi de 16 meses. Houve 8,5 por cento de abandono de tratamento pré-operatório. Assim, conclui-se que a quimioterapia neo-adjuvante, com o esquema proposto, mostrou ser uma boa alternativa no controle do câncer de mama, com alto índice de adesäo ao tratamento e um controle sistêmico satisfatório para pacientes diagnosticadas com doença localmente avançada.