NATALLI ZANETE PEREIRA

(Fonte: Lattes)
Índice h a partir de 2011
11
Projetos de Pesquisa
Unidades Organizacionais
LIM/56 - Laboratório de Investigação em Dermatologia e Imunodeficiências, Hospital das Clínicas, Faculdade de Medicina

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Agora exibindo 1 - 5 de 5
  • article 12 Citação(ões) na Scopus
    COVID-19 Disease Course in Former Smokers, Smokers and COPD Patients
    (2021) ALBERCA, Ricardo Wesley; LIMA, Julia Cataldo; OLIVEIRA, Emily Araujo de; GOZZI-SILVA, Sarah Cristina; RAMOS, Yasmim Alefe Leuzzi; ANDRADE, Milena Mary de Souza; BESERRA, Danielle Rosa; OLIVEIRA, Luana de Mendonca; BRANCO, Anna Claudia Calvielli Castelo; PIETROBON, Anna Julia; PEREIRA, Natalli Zanete; TEIXEIRA, Franciane Mouradian Emidio; FERNANDES, Iara Grigoletto; DUARTE, Alberto Jose da Silva; BENARD, Gil; SATO, Maria Notomi
    The severe respiratory and systemic disease named coronavirus disease-2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Currently, the COVID-19 pandemic presents a huge social and health challenge worldwide. Many different risk factors are associated with disease severity, such as systemic arterial hypertension, diabetes mellitus, obesity, older age, and other co-infections. Other respiratory diseases such as chronic obstructive pulmonary disease (COPD) and smoking are common comorbidities worldwide. Previous investigations have identified among COVID-19 patients smokers and COPD patients, but recent investigations have questioned the higher risk among these populations. Nevertheless, previous reports failed to isolate smokers and COPD patients without other comorbidities. We performed a longitudinal evaluation of the disease course of smokers, former smokers, and COPD patients with COVID-19 without other comorbidities, from hospitalization to hospital discharge. Although no difference between groups was observed during hospital admission, smokers and COPD patients presented an increase in COVID-19-associated inflammatory markers during the disease course in comparison to non-smokers and former smokers. Our results demonstrated that smoking and COPD are risk factors for severe COVID-19 with possible implications for the ongoing pandemic.
  • article 13 Citação(ões) na Scopus
    SARS-CoV-2 Infection and CMV Dissemination in Transplant Recipients as a Treatment for Chagas Cardiomyopathy: A Case Report
    (2021) GOZZI-SILVA, Sarah Cristina; BENARD, Gil; ALBERCA, Ricardo Wesley; YENDO, Tatiana Mina; TEIXEIRA, Franciane Mouradian Emidio; OLIVEIRA, Luana de Mendonca; BESERRA, Danielle Rosa; PIETROBON, Anna Julia; OLIVEIRA, Emily Araujo de; BRANCO, Anna Claudia Calvielli Castelo; ANDRADE, Milena Mary de Souza; FERNANDES, Iara Grigoletto; PEREIRA, Natalli Zanete; RAMOS, Yasmim Alefe Leuzzi; LIMA, Julia Cataldo; PROVENCI, Bruna; MANGINI, Sandrigo; DUARTE, Alberto Jose da Silva; SATO, Maria Notomi
    Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 has infected over 90 million people worldwide, therefore it is considered a pandemic. SARS-CoV-2 infection can lead to severe pneumonia, acute respiratory distress syndrome (ARDS), septic shock, and/or organ failure. Individuals receiving a heart transplantation (HT) may be at higher risk of adverse outcomes attributable to COVID-19 due to immunosuppressives, as well as concomitant infections that may also influence the prognoses. Herein, we describe the first report of two cases of HT recipients with concomitant infections by SARS-CoV-2, Trypanosoma cruzi, and cytomegalovirus (CMV) dissemination, from the first day of hospitalization due to COVID-19 in the intensive care unit (ICU) until the death of the patients.
  • article 3 Citação(ões) na Scopus
    Platelet-Based Biomarkers for Diagnosis and Prognosis in COVID-19 Patients
    (2021) ALBERCA, Ricardo Wesley; SOLIS-CASTRO, Rosa Liliana; SOLIS-CASTRO, Maria Edith; CARDOSO, Fernanda; DUARTE, Alberto Jose da Silva; OLIVEIRA, Luana de Mendonca; PEREIRA, Natalli Zanete; GOZZI-SILVA, Sarah Cristina; OLIVEIRA, Emily Araujo de; AOKI, Valeria; ORFALI, Raquel Leao; BESERRA, Danielle Rosa; ANDRADE, Milena Mary de Souza; SATO, Maria Notomi
    Coronavirus disease 2019 (COVID-19) caused millions of deaths worldwide. COVID-19's clinical manifestations range from no symptoms to a severe acute respiratory syndrome, which can result in multiple organ failure, sepsis, and death. Severe COVID-19 patients develop pulmonary and extrapulmonary infections, with a hypercoagulable state. Several inflammatory or coagulatory biomarkers are currently used with predictive values for COVID-19 severity and prognosis. In this manuscript, we investigate if a combination of coagulatory and inflammatory biomarkers could provide a better biomarker with predictive value for COVID-19 patients, being able to distinguish between patients that would develop a moderate or severe COVID-19 and predict the disease outcome. We investigated 306 patients with COVID-19, confirmed by severe acute respiratory syndrome coronavirus 2 RNA detected in the nasopharyngeal swab, and retrospectively analyzed the laboratory data from the first day of hospitalization. In our cohort, biomarkers such as neutrophil count and neutrophil-to-lymphocyte ratio from the day of hospitalization could predict if the patient would need to be transferred to the intensive care unit but failed to identify the patients & PRIME; outcomes. The ratio between platelets and inflammatory markers such as creatinine, C-reactive protein, and urea levels is associated with patient outcomes. Finally, the platelet/neutrophil-to-lymphocyte ratio on the first day of hospitalization can be used with predictive value as a novel severity and lethality biomarker in COVID-19. These new biomarkers with predictive value could be used routinely to stratify the risk in COVID-19 patients since the first day of hospitalization.
  • article 5 Citação(ões) na Scopus
    Long-term effects of COVID-19 in diabetic and non-diabetic patients
    (2022) ALBERCA, Ricardo Wesley; RAMOS, Yasmim Alefe Leuzzi; PEREIRA, Natalli Zanete; BESERRA, Danielle Rosa; BRANCO, Anna Claudia Calvielli Castelo; ORFALI, Raquel Leao; AOKI, Valeria; DUARTE, Alberto Jose da Silva; SATO, Maria Notomi
    The literature presents several reports of the impact of glycemic control and diabetes in the inflammatory and coagulatory response during coronavirus disease 2019 (COVID-19). Nevertheless, the long-term impact of the COVID-19 in diabetic patients is still to be explored. Therefore, we recruited 128 patients and performed a longitudinal analysis on COVID-19-associated biomarkers of patients with COVID-19, tree and 6 months after COVID-19 recovery and put into perspective the possible long-term complication generated after COVID-19. In our investigation, we failed to verify any long-term modification on inflammatory biomarkers, but detected an increase in the glycemia and glycated hemoglobin in patients without any pre-existing history or diagnosis of diabetes (non-diabetic patients). Although diabetic and non-diabetic patients presented elevated levels of glycated hemoglobin, the c-peptide test indicated a normal beta cell function in all patients.
  • article 9 Citação(ões) na Scopus
    Frequencies of CD33+CD11b+HLA-DR-CD14-CD66b+and CD33+CD11b+HLA-DR-CD14+CD66b-Cells in Peripheral Blood as Severity Immune Biomarkers in COVID-19
    (2020) ALBERCA, Ricardo Wesley; ANDRADE, Milena Mary de Souza; BRANCO, Anna Claudia Calvielli Castelo; PIETROBON, Anna Julia; PEREIRA, Natalli Zanete; FERNANDES, Iara Grigoletto; OLIVEIRA, Luana de Mendonca; TEIXEIRA, Franciane Mouradian Emidio; BESERRA, Danielle Rosa; OLIVEIRA, Emily Araujo de; GOZZI-SILVA, Sarah Cristina; RAMOS, Yasmim Alefe Leuzzi; BRITO, Cyro Alves de; ARNONE, Marcelo; ORFALI, Raquel Leao; AOKI, Valeria; DUARTE, Alberto Jose da Silva; SATO, Maria Notomi
    Common clinical features of patients with Coronavirus disease-2019 (COVID-19) vary from fever, to acute severe respiratory distress syndrome. Several laboratory parameters are reported as indicators of COVID-19 severity. We hereby describe the possible novel severity biomarkers for COVID-19, CD11b+CD33+HLA-DR-CD14+ cells and CD11b+CD33+HLA-DR-CD66b+ cells.