Publications by authors named "V Arenas-Rodriguez"

Background: The architecture and dynamics of T cell populations are critical in orchestrating the immune response to SARS-CoV-2. In our study, we used T Cell Receptor sequencing (TCRseq) to investigate TCR repertoires in 173 post-infection COVID-19 patients.

Methods: The cohort included 98 mild and 75 severe cases with a median age of 53.

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Article Synopsis
  • Prostate cancer (PCa) development is influenced by genetic, environmental, and dietary factors, particularly interactions between chemical exposures and specific genetic variants related to detoxification and DNA repair.
  • A meta-analysis involving over 60,000 participants identified significant associations between certain genetic variants (like SOD2, CAT, PON1, GSTP1, and GSTM1) and an increased risk of PCa, with GSTM1 showing the strongest link.
  • While antioxidant enzymes and detoxifying enzymes are crucial in PCa progression, other risk factors, especially chemical exposures, should also be considered for a comprehensive understanding of PCa risk.
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Background: The use of molecular biomarkers for COVID-19 remains unconclusive. The application of a molecular biomarker in combination with clinical ones that could help classifying aggressive patients in first steps of the disease could help clinician and sanitary system a better management of the disease. Here we characterize the role of ACE2, AR, MX1, ERG, ETV5 and TMPRSS2 for trying a better classification of COVID-19 through knowledge of the disease mechanisms.

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Background: Approximately 13.8% and 6.1% of coronavirus disease 2019 (COVID-19) patients require hospitalization and sometimes intensive care unit (ICU) admission, respectively.

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In this study, we have evaluated whether 57 genome-wide association studies (GWAS)-identified common variants for type 2 diabetes (T2D) influence the risk of developing prostate cancer (PCa) in a population of 304 Caucasian PCa patients and 686 controls. The association of selected single nucleotide polymorphisms (SNPs) with the risk of PCa was validated through meta-analysis of our data with those from the UKBiobank and FinnGen cohorts, but also previously published genetic studies. We also evaluated whether T2D SNPs associated with PCa risk could influence host immune responses by analysing their correlation with absolute numbers of 91 blood-derived cell populations and circulating levels of 103 immunological proteins and 7 steroid hormones.

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