38 research outputs found

    Actividad alelopática de algunas especies de los géneros miconia, tibouchina, henriettella, tococa, aciotis y bellucia (melastomataceae)

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    Catorce extractos polares de especies de Miconia, Tibouchina, Henriettella, Tococa, Aciotis y Bellucia (melastomataceaes) fueron evaluados por su actividad alelopática frente a semillas de Lycopersicum esculentum L. Extractos en AcEtO de M. coronata y n-BuOH de M. aeruginosa fueron promisorios en rendimiento y porcentaje de inhibición sobre hipocótilo -24,92 por ciento y -91.16 por ciento, respectivamente. Las fracciones de M. coronata y M. aeruginosa presentaron mayor inhibición sobre hipocótilo 80 a 90 por ciento y 50 a 80 por ciento. La fracción BF-8D de M. aeruginosa presentó inhibición sobre hipocótilo entre el 50 y 55 por ciento, se aisló un compuesto siendo aislado determinada su estructura

    Actividad alelopática de algunas especies de los géneros miconia, tibouchina, henriettella, tococa, aciotis y bellucia (melastomataceae)

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    Catorce extractos polares de especies de Miconia, Tibouchina, Henriettella, Tococa, Aciotis y Bellucia (melastomataceaes) fueron evaluados por su actividad alelopática frente a semillas de Lycopersicum esculentum L. Extractos en AcEtO de M. coronata y n-BuOH de M. aeruginosa fueron promisorios en rendimiento y porcentaje de inhibición sobre hipocótilo -24,92 por ciento y -91.16 por ciento, respectivamente. Las fracciones de M. coronata y M. aeruginosa presentaron mayor inhibición sobre hipocótilo 80 a 90 por ciento y 50 a 80 por ciento. La fracción BF-8D de M. aeruginosa presentó inhibición sobre hipocótilo entre el 50 y 55 por ciento, se aisló un compuesto siendo aislado determinada su estructura

    Actividad alelopática de algunas especies de los géneros miconia, tibouchina, henriettella, tococa, aciotis y bellucia (melastomataceae)

    Get PDF
    Catorce extractos polares de especies de Miconia, Tibouchina, Henriettella, Tococa, Aciotis y Bellucia (melastomataceaes) fueron evaluados por su actividad alelopática frente a semillas de Lycopersicum esculentum L. Extractos en AcEtO de M. coronata y n-BuOH de M. aeruginosa fueron promisorios en rendimiento y porcentaje de inhibición sobre hipocótilo -24,92 por ciento y -91.16 por ciento, respectivamente. Las fracciones de M. coronata y M. aeruginosa presentaron mayor inhibición sobre hipocótilo 80 a 90 por ciento y 50 a 80 por ciento. La fracción BF-8D de M. aeruginosa presentó inhibición sobre hipocótilo entre el 50 y 55 por ciento, se aisló un compuesto siendo aislado determinada su estructura

    Keys to the success of the CB Conquero

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    Cuando un club consigue éxitos deportivos a nivel profesional, existe un gran interés por investigar cuales han sido los factores claves de ese éxito. En esta investigación, se pretende analizar la influencia de diferentes factores como el contexto deportivo, el contexto social y aspectos del entrenamiento deportivo en el éxito del Club Baloncesto Conquero a través de la percepción de 13 informantes clave por su vinculación con el equipo y con el baloncesto onubense. Se realizó una entrevista, relacionada con los factores y las claves del éxito. Los resultados mostraron que la planificación de la plantilla junto al gran trabajo del cuerpo técnico, cuerpo médico y el preparador físico han sido las claves para que el club obtuviera los éxitos deportivos.When a team gets sport successes to level profesional, generates the topics that will be investigated such as the key factors of the succes. The main aim of this study is to analyze the influencie of different factors like the sports context, the social context and training aspects in the success of the Club Baloncesto Conquero through direct perception of thirteen informants associated with the team and the basketball in Huelva. An interview was carried out, related with those factors and the keys to success. The results revealed that workforce planning along the great work of coaching staff, medical staff and physical trainer have been key to the team gets sport successes

    Spatial and temporal variation of fish assemblage associated with aquatic macrophyte patches in the littoral zone of the Ayapel Swamp Complex, Colombia

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    ABSTRACT: Aim: The purpose of the present study was to examine spatial and temporal variation in fish assemblage structure associated with aquatic macrophytes in the littoral zone of the ASC. Methods: Specimens were caught between January 2008 and February 2009, over four limnimetric moments, using both cast net and seine net. Data on the temperature, electrical conductivity, pH and dissolved oxygen was recorded for the characterization of the water mass in the sites. Results: A total of 34,151 specimens from 44 species were collected. The most abundant species were Eigenmannia virescens, Astyanax caucanus, Astyanax fasciatus, Roeboides dayi and Cyphocharax magdalenae, which together accounted for more than 75% of the sample. Temporal and spatial comparisons showed variation in the environmental conditions and highlighted the existence of heterogeneous abiotic conditions (p0.05) regarding the fish assemblage structure. The multivariate analysis showed no significant relationship between existing environmental conditions and the fish assemblage (p=0.04). The analysis also showed the absence of a relationship between the fish assemblage and environmental variables with respect to the flood pulse and sampling sites (p>0.05). Conclusion: The uniformity of the fish communities that inhabit aquatic macrophyte patches in the littoral region of the ASC may be related to the availability of suitable habitat in structural terms, that probably supports a more abundant and varied wildlife

    Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries.

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    Importance: Worldwide, preterm birth (PTB) is the single largest cause of deaths in the perinatal and neonatal period and is associated with increased morbidity in young children. The cause of PTB is multifactorial, and the development of generalizable biological models may enable early detection and guide therapeutic studies. Objective: To investigate the ability of transcriptomics and proteomics profiling of plasma and metabolomics analysis of urine to identify early biological measurements associated with PTB. Design, Setting, and Participants: This diagnostic/prognostic study analyzed plasma and urine samples collected from May 2014 to June 2017 from pregnant women in 5 biorepository cohorts in low- and middle-income countries (LMICs; ie, Matlab, Bangladesh; Lusaka, Zambia; Sylhet, Bangladesh; Karachi, Pakistan; and Pemba, Tanzania). These cohorts were established to study maternal and fetal outcomes and were supported by the Alliance for Maternal and Newborn Health Improvement and the Global Alliance to Prevent Prematurity and Stillbirth biorepositories. Data were analyzed from December 2018 to July 2019. Exposures: Blood and urine specimens that were collected early during pregnancy (median sampling time of 13.6 weeks of gestation, according to ultrasonography) were processed, stored, and shipped to the laboratories under uniform protocols. Plasma samples were assayed for targeted measurement of proteins and untargeted cell-free ribonucleic acid profiling; urine samples were assayed for metabolites. Main Outcomes and Measures: The PTB phenotype was defined as the delivery of a live infant before completing 37 weeks of gestation. Results: Of the 81 pregnant women included in this study, 39 had PTBs (48.1%) and 42 had term pregnancies (51.9%) (mean [SD] age of 24.8 [5.3] years). Univariate analysis demonstrated functional biological differences across the 5 cohorts. A cohort-adjusted machine learning algorithm was applied to each biological data set, and then a higher-level machine learning modeling combined the results into a final integrative model. The integrated model was more accurate, with an area under the receiver operating characteristic curve (AUROC) of 0.83 (95% CI, 0.72-0.91) compared with the models derived for each independent biological modality (transcriptomics AUROC, 0.73 [95% CI, 0.61-0.83]; metabolomics AUROC, 0.59 [95% CI, 0.47-0.72]; and proteomics AUROC, 0.75 [95% CI, 0.64-0.85]). Primary features associated with PTB included an inflammatory module as well as a metabolomic module measured in urine associated with the glutamine and glutamate metabolism and valine, leucine, and isoleucine biosynthesis pathways. Conclusions and Relevance: This study found that, in LMICs and high PTB settings, major biological adaptations during term pregnancy follow a generalizable model and the predictive accuracy for PTB was augmented by combining various omics data sets, suggesting that PTB is a condition that manifests within multiple biological systems. These data sets, with machine learning partnerships, may be a key step in developing valuable predictive tests and intervention candidates for preventing PTB

    Performance of a validated spontaneous preterm delivery predictor in South Asian and Sub-Saharan African women: a nested case control study.

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    OBJECTIVES: To address the disproportionate burden of preterm birth (PTB) in low- and middle-income countries, this study aimed to (1) verify the performance of the United States-validated spontaneous PTB (sPTB) predictor, comprised of the IBP4/SHBG protein ratio, in subjects from Bangladesh, Pakistan and Tanzania enrolled in the Alliance for Maternal and Newborn Health Improvement (AMANHI) biorepository study, and (2) discover biomarkers that improve performance of IBP4/SHBG in the AMANHI cohort. STUDY DESIGN: The performance of the IBP4/SHBG biomarker was first evaluated in a nested case control validation study, then utilized in a follow-on discovery study performed on the same samples. Levels of serum proteins were measured by targeted mass spectrometry. Differences between the AMANHI and U.S. cohorts were adjusted using body mass index (BMI) and gestational age (GA) at blood draw as covariates. Prediction of sPTB < 37 weeks and < 34 weeks was assessed by area under the receiver operator curve (AUC). In the discovery phase, an artificial intelligence method selected additional protein biomarkers complementary to IBP4/SHBG in the AMANHI cohort. RESULTS: The IBP4/SHBG biomarker significantly predicted sPTB < 37 weeks (n = 88 vs. 171 terms ≥ 37 weeks) after adjusting for BMI and GA at blood draw (AUC= 0.64, 95% CI: 0.57-0.71, p < .001). Performance was similar for sPTB < 34 weeks (n = 17 vs. 184 ≥ 34 weeks): AUC = 0.66, 95% CI: 0.51-0.82, p = .012. The discovery phase of the study showed that the addition of endoglin, prolactin, and tetranectin to the above model resulted in the prediction of sPTB < 37 with an AUC= 0.72 (95% CI: 0.66-0.79, p-value < .001) and prediction of sPTB < 34 with an AUC of 0.78 (95% CI: 0.67-0.90, p < .001). CONCLUSION: A protein biomarker pair developed in the U.S. may have broader application in diverse non-U.S. populations

    Prediction of gestational age using urinary metabolites in term and preterm pregnancies.

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    Assessment of gestational age (GA) is key to provide optimal care during pregnancy. However, its accurate determination remains challenging in low- and middle-income countries, where access to obstetric ultrasound is limited. Hence, there is an urgent need to develop clinical approaches that allow accurate and inexpensive estimations of GA. We investigated the ability of urinary metabolites to predict GA at time of collection in a diverse multi-site cohort of healthy and pathological pregnancies (n = 99) using a broad-spectrum liquid chromatography coupled with mass spectrometry (LC-MS) platform. Our approach detected a myriad of steroid hormones and their derivatives including estrogens, progesterones, corticosteroids, and androgens which were associated with pregnancy progression. We developed a restricted model that predicted GA with high accuracy using three metabolites (rho = 0.87, RMSE = 1.58 weeks) that was validated in an independent cohort (n = 20). The predictions were more robust in pregnancies that went to term in comparison to pregnancies that ended prematurely. Overall, we demonstrated the feasibility of implementing urine metabolomics analysis in large-scale multi-site studies and report a predictive model of GA with a potential clinical value

    Association of maternal prenatal copper concentration with gestational duration and preterm birth: a multicountry meta-analysis

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    Background Copper (Cu), an essential trace mineral regulating multiple actions of inflammation and oxidative stress, has been implicated in risk for preterm birth (PTB). Objectives This study aimed to determine the association of maternal Cu concentration during pregnancy with PTB risk and gestational duration in a large multicohort study including diverse populations. Methods Maternal plasma or serum samples of 10,449 singleton live births were obtained from 18 geographically diverse study cohorts. Maternal Cu concentrations were determined using inductively coupled plasma mass spectrometry. The associations of maternal Cu with PTB and gestational duration were analyzed using logistic and linear regressions for each cohort. The estimates were then combined using meta-analysis. Associations between maternal Cu and acute-phase reactants (APRs) and infection status were analyzed in 1239 samples from the Malawi cohort. Results The maternal prenatal Cu concentration in our study samples followed normal distribution with mean of 1.92 μg/mL and standard deviation of 0.43 μg/mL, and Cu concentrations increased with gestational age up to 20 wk. The random-effect meta-analysis across 18 cohorts revealed that 1 μg/mL increase in maternal Cu concentration was associated with higher risk of PTB with odds ratio of 1.30 (95% confidence interval [CI]: 1.08, 1.57) and shorter gestational duration of 1.64 d (95% CI: 0.56, 2.73). In the Malawi cohort, higher maternal Cu concentration, concentrations of multiple APRs, and infections (malaria and HIV) were correlated and associated with greater risk of PTB and shorter gestational duration. Conclusions Our study supports robust negative association between maternal Cu and gestational duration and positive association with risk for PTB. Cu concentration was strongly correlated with APRs and infection status suggesting its potential role in inflammation, a pathway implicated in the mechanisms of PTB. Therefore, maternal Cu could be used as potential marker of integrated inflammatory pathways during pregnancy and risk for PTB
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