Project description:Non-targeted metabolomics of leaf plant extracts from areas with high and low air pollution collected in Mata Atlantica at Sao Paulo
Project description:Non-targeted metabolomics of leaf plant extracts from areas with high and low air pollution collected in Mata Atlantica at Sao Paulo
Project description:This study is part of previous epidemiologic project, including a population-based survey (Sao Paulo Ageing & Health study (SPAH Study). The data from this study was collected between 2015 to 2016 and involved elderly women (ages ≥65 yeas) living in the Butanta district, Sao Paulo. The purpose of the study was identification of association between transcriptome and the osteo metabolism diseases phenotype, like osteoporosis, vertebral fracture and coronary calcification. Peripheral blood cells suffer alterations in the gene expression pattern in response to perturbations caused by calcium metabolism diseases. The purpose of this study is to identify possible molecular markers associated with osteoporosis, vertebral fractures and coronary calcification in elderly women from community from Brazilian SPAH study. Vertebral fractures were the most common clinical manifestation of osteoporosis and coronary calcifications were associated with high morbimortality.
Project description:A field experiment was conducted at the Agricultural Sciences Center of the Federal University of Sao Carlos in Araras (22'21'25'S and 47'23'3'W) in the state of Sao Paulo, Brazil. Trial plots of SP-3280 consisted of four rows of 10 m long and spaced 1.35m apart. The field experiment was initiated in October 2012 and extended up until November 2013, representing the conditions under which ?one-year? sugarcane crops are cultivated.
Project description:A field experiment was conducted at the Agricultural Sciences Center of the Federal University of Sao Carlos in Araras (22°21'25''S and 47°23'3''W) in the state of Sao Paulo, Brazil. Trial plots of SP-3280 consisted of four rows of 10 m long and spaced 1.35m apart. The field experiment was initiated in April 2012 and extended up until May 2013, representing the conditions under which one-year-and-a-half sugarcane crops are cultivated.
Project description:Analyses of Heteropterys umbellata (Malpighiaceae) stems and leaves extracts. Plants were collected in two different Brazilian States (Sao Paulo and Minas Gerais). Dried plant material was extracted with EtOH80%. Positive ionization mode analyses. LC-MS/MS performed in a Shimadzu HPLC using a Phenomenex C18-Luna (250 mm x 4.6 mm, 5.0 um) column and an Amazon SL (Bruker Daltonics) mass spectrometer (ion trap) equipped with an ESI source. Auto MSn mode for exploratory analysis.
Project description:To date, few studies analyzed the nature of the temporal and spatial cell arrangement during the complex immune/inflammatory/molecular and structural cell alterations that take place in the lungs in severe COVID-19. Such information is crucial to better envision the disease complexity. To this end, we have applied a platform for multiplex imaging complemented with assessment of SARS-CoV-2, bacterial/fungi identification and cytokine/transcriptomic profiling in 18 lungs of deceased patients from Sao Paulo.
Project description:This dataset contains untargeted plasma metabolomics and lipidomics data from approximately 600 hospitalized COVID-19 patients recruited at Hospital das Clinicas, University of Sao Paulo (HC-USP), Brazil. All samples were collected during the first wave of the COVID-19 pandemic in Sao Paulo, before the introduction of vaccination, and include patients who did and did not develop acute kidney injury (AKI) during hospitalization. Plasma samples were analyzed by high-resolution LC-MS/MS in both positive and negative ionization modes. De-identified clinical and demographic metadata (70 variables per patient), including AKI status (KDIGO-based), comorbidities, laboratory measurements, and outcomes, are provided to enable discovery and validation of metabolic signatures of COVID-19-associated AKI and to support downstream multi-omics and repository-scale reanalysis.