New records of mosquito species (Diptera: Culicidae) from Catamarca and Santa Fe provinces, Argentina

RESUMEN. Se extiende la distribución geográfica de Culex acharistus, C. bidens, C. chidesteri, C. dolosus, C. interfor, C. maxi, C. saltanensis y Ochlerotatus scapu- laris, incrementando el número de especies de mosquitos citadas de las provincias de Catamarca, de 14 a 20, y de Santa Fe, de 57 a 59.ABSTRACT. The geographical distribution of Culex acharistus, C. bidens, C. chidesteri, C. dolosus, C. interfor, C. maxi, C. saltanensis and Ochlerotatus scapu- laris is extended, increasing the number of mosquito species in the provinces of Catamarca, from 14 to 20, and Santa Fe, from 57 to 59.Fil: Laurito, Magdalena. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Centro de Invest.Entomologicas de Cba; Argentina; Consejo Nacional de Invest.cientif.y Tecnicas. Centro Cientifico Tecnol.conicet - Cordoba. Instituto de Investigaciones Biologicas y Tecnologicas, Argentina;Fil: Visintin, Andrés Mario. Universidad Nacional de la Rioja; Argentina;Fil: Lorenzo, Pablo R.. Universidad Nacional de la Rioja; Argentina;Fil: Berrón, Clara Inés. Universidad Nacional de Cordoba. Facultad de Medicina. Instituto de Virología; Argentina;Fil: Diez, Natalia. Universidad Nacional del Litoral; Argentina;Fil: Almiron, Walter Ricardo. Consejo Nacional de Invest.cientif.y Tecnicas. Centro Cientifico Tecnol.conicet - Cordoba. Instituto de Investigaciones Biologicas y Tecnologicas, Argentina

Oscillations in Cdc14 release and sequestration reveal a circuit underlying mitotic exit

The phosphatase Cdc14 exerts negative feedback on its upstream regulators to limit its release from the nucleolus to once per cell cycle

Integrating Rio1 activities discloses its nutrient-activated network in Saccharomyces cerevisiae

The Saccharomyces cerevisiae kinase/adenosine triphosphatase Rio1 regulates rDNA transcription and segregation, pre-rRNA processing and small ribosomal subunit maturation. Other roles are unknown. When overexpressed, human ortholog RIOK1 drives tumor growth and metastasis. Likewise, RIOK1 promotes 40S ribosomal subunit biogenesis and has not been characterized globally. We show that Rio1 manages directly and via a series of regulators, an essential signaling network at the protein, chromatin and RNA levels. Rio1 orchestrates growth and division depending on resource availability, in parallel to the nutrient-activated Tor1 kinase. To define the Rio1 network, we identified its physical interactors, profiled its target genes/transcripts, mapped its chromatin-binding sites and integrated our data with yeast's protein-protein and protein-DNA interaction catalogs using network computation. We experimentally confirmed network components and localized Rio1 also to mitochondria and vacuoles. Via its network, Rio1 commands protein synthesis (ribosomal gene expression, assembly and activity) and turnover (26S proteasome expression), and impinges on metabolic, energy-production and cell-cycle programs. We find that Rio1 activity is conserved to humans and propose that pathological RIOK1 may fuel promiscuous transcription, ribosome production, chromosomal instability, unrestrained metabolism and proliferation; established contributors to cancer. Our study will advance the understanding of numerous processes, here revealed to depend on Rio1 activity

Detection of Orthobunyavirus in mosquitoes collected in Argentina

Bunyamwera virus (BUNV) (Bunyaviridae, genus Orthobunyavirus, serogroup Bunyamwera) is considered an emerging pathogen for humans and animals in American countries. The CbaAr‐426 strain of BUNV was recovered from mosquitoes Ochlerotatus albifasciatus (Diptera: Culicidae) collected in Córdoba province (Argentina), where serological studies detected high seroprevalences in humans and animals. Molecular detection of Orthobunyavirus was performed in mosquitoes collected in Córdoba province. Seventeen mosquito pools of Oc. albifasciatus, Ochlerotatus scapularis and Culex quinquefasciatus (Diptera: Culicidae) showed positive results; four of these positive pools, all of Oc. scapularis, were sequenced. All amplicons grouped with BUNV in the Bunyamwera serogroup. The findings highlight the circulation of BUNV in Córdoba province and represent the first report of BUNV‐infected Oc. scapularis mosquitoes in Argentina.Fil: Tauro, Laura Beatriz. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; ArgentinaFil: Batallán, Pedro Gonzalo. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina. Universidad Nacional de Chilecito; ArgentinaFil: Rivarola, María Elisa. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; ArgentinaFil: Visintin, Andrés Mario. Universidad Nacional de La Rioja. Departamento de Ciencias Exactas, Físicas y Naturales; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; ArgentinaFil: Berrón, Clara Inés. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; ArgentinaFil: Sousa Júnior, Edivaldo Costa. Ministério da Saúde. Instituto Evandro Chagas. Seção Virologia.; BrasilFil: Diaz, Luis Adrian. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; ArgentinaFil: Almiron, Walter Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; ArgentinaFil: Nunes, Márcio Roberto Teixeira. Ministério da Saúde. Instituto Evandro Chagas. Centro de Inovações Tecnológicas. ; BrasilFil: Contigiani de Minio, Marta Silvia. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentin

Predicting response to non-selective beta-blockers with liver–spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices

Introduction: Non-selective beta-blockers (NSBB) are used for primary prophylaxis in patients with liver cirrhosis and high-risk varices (HRVs). Assessing therapeutic response is challenging due to the invasive nature of hepatic venous pressure gradient (HVPG) measurement. This study aims to define a noninvasive machine-learning based approach to determine response to NSBB in patients with liver cirrhosis and HRVs. Methods: We conducted a prospective study on a cohort of cirrhotic patients with documented HRVs receiving NSBB treatment. Patients were followed-up with clinical and elastography appointments at 3, 6, and 12 months after NSBB treatment initiation. NSBB response was defined as stationary or downstaging variceal grading at the 12-month esophagogastroduodenoscopy (EGD). In contrast, non-response was defined as upstaging variceal grading at the 12-month EGD or at least one variceal hemorrhage episode during the 12-month follow-up. We chose cut-off values for univariate and multivariate model with 100% specificity. Results: According to least absolute shrinkage and selection operator (LASSO) regression, spleen stiffness (SS) and liver stiffness (LS) percentual decrease, along with changes in heart rate (HR) at 3 months were the most significant predictors of NSBB response. A decrease > 11.5% in SS, > 16.8% in LS, and > 25.3% in HR was associated with better prediction of clinical response to NSBB. SS percentual decrease showed the highest accuracy (86.4%) with high sensitivity (78.8%) when compared to LS and HR. The multivariate model incorporating SS, LS, and HR showed the highest discrimination and calibration metrics (AUROC = 0.96), with the optimal cut-off of 0.90 (sensitivity 94.2%, specificity 100%, PPV 95.7%, NPV 100%, accuracy 97.5%)