RESUMO
OBJECTIVE: To assess Google Trends accuracy for epidemiological surveillance of dengue and yellow fever, and to compare the incidence of these diseases with the popularity of its terms in the state of São Paulo. METHODS: Retrospective cohort. Google Trends survey results were compared to the actual incidence of diseases, obtained from Centro de Vigilância Epidemiológica "Prof. Alexandre Vranjac", in São Paulo, Brazil, in periods between 2017 and 2019. The correlation was calculated by Pearson's coefficient and cross-correlation function. The accuracy was analyzed by sensitivity and specificity values. RESULTS: There was a statistically significant correlation between the variables studied for both diseases, Pearson coefficient of 0.91 for dengue and 0.86 for yellow fever. Correlation with up to 4 weeks of anticipation for time series was identified. Sensitivity was 87% and 90%, and specificity 69% and 78% for dengue and yellow fever, respectively. CONCLUSION: The incidence of dengue and yellow fever in the State of São Paulo showed a strong correlation with the popularity of its terms measured by Google Trends in weekly periods. Google Trends tool provided early warning, with high sensitivity, for the detection of outbreaks of these diseases.
Assuntos
Dengue , Febre Amarela , Brasil/epidemiologia , Dengue/epidemiologia , Surtos de Doenças , Humanos , Estudos Retrospectivos , Ferramenta de Busca , Febre Amarela/epidemiologiaRESUMO
OBJECTIVE: The aim of the study was to assess the evidence on miRNAs as biomarkers for the diagnosis of endometriosis, as well as to provide insights into the challenges and strategies associated with the use of these molecules as accessible tools in clinical practice. METHODS: Systematic review conducted on PubMed®, Latin American and Caribbean Health Sciences Literature (LILACS), MEDLINE® and Web of Science databases using the search terms endometriosis (all fields) AND miRNA (all fields), evaluating all publication up to May 2019. RESULTS: Most miRNAs found to be dysregulated in this study were harvested from tissue samples, which precludes their use as a non-invasive diagnostic test. However, differential expression of 62 miRNAs was reported in samples that may be used for non-invasive diagnosis of endometriosis, such as blood, serum and plasma. CONCLUSION: Despite the identification of several candidates, studies are investigatory in nature and have been conducted with small number of samples. Also, no particular miRNA has been validated for diagnostic purposes so far. Studies based primarily on biological samples and applicable to translational research are warranted. Large databases comprising information on sample type and the use of saliva and vaginal fluid for miRNAs identification may prove essential to overcome current barriers to diagnosis of endometriosis.
Assuntos
Endometriose , MicroRNAs , Biomarcadores , Região do Caribe , Endometriose/diagnóstico , Endometriose/genética , Feminino , Humanos , MicroRNAs/genéticaRESUMO
ABSTRACT Objective The aim of the study was to assess the evidence on miRNAs as biomarkers for the diagnosis of endometriosis, as well as to provide insights into the challenges and strategies associated with the use of these molecules as accessible tools in clinical practice. Methods Systematic review conducted on PubMed®, Latin American and Caribbean Health Sciences Literature (LILACS), MEDLINE® and Web of Science databases using the search terms endometriosis (all fields) AND miRNA (all fields), evaluating all publication up to May 2019. Results Most miRNAs found to be dysregulated in this study were harvested from tissue samples, which precludes their use as a non-invasive diagnostic test. However, differential expression of 62 miRNAs was reported in samples that may be used for non-invasive diagnosis of endometriosis, such as blood, serum and plasma. Conclusion Despite the identification of several candidates, studies are investigatory in nature and have been conducted with small number of samples. Also, no particular miRNA has been validated for diagnostic purposes so far. Studies based primarily on biological samples and applicable to translational research are warranted. Large databases comprising information on sample type and the use of saliva and vaginal fluid for miRNAs identification may prove essential to overcome current barriers to diagnosis of endometriosis.
RESUMO Objetivo O objetivo do estudo foi analisar as evidências sobre miRNAs como biomarcadores para o diagnóstico de endometriose, bem como levantar informações sobre os desafios e as estratégias necessárias para tornar essas moléculas ferramentas acessíveis para uso na prática clínica. Métodos Revisão sistemática conduzida nos bancos de dados PubMed®, Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), MEDLINE® e Web of Science utilizando os termos de pesquisa "endometriosis" (todos os campos) AND "miRNA" (todos os campos), avaliando todas as publicações até maio de 2019. Resultados A maioria dos miRNAs desregulados foram analisados a partir de amostras de tecido, o que inviabiliza seu uso como teste diagnóstico não invasivo. Todavia, 62 miRNAs foram identificados como diferencialmente expressos em amostras que poderiam ser usadas para o diagnóstico pouco invasivo de endometriose, como sangue, soro e plasma. Conclusão Apesar de todos esses candidatos, os trabalhos são exploratórios, realizados com números pequenos de amostras, sem miRNAs específicos validados para fins diagnósticos. Estudos envolvendo principalmente amostras biológicas, visando à pesquisa translacional, deveriam ser mais explorados. O desenvolvimento de grandes bancos de dados sobre amostras, bem como o uso de saliva e fluido vaginal para identificação de miRNAs, poderia servir como recursos essenciais para as barreiras atuais no diagnóstico da endometriose.
Assuntos
Humanos , Feminino , MicroRNAs/genética , Endometriose/diagnóstico , Endometriose/genética , Biomarcadores , Região do CaribeRESUMO
ABSTRACT Objective To assess Google Trends accuracy for epidemiological surveillance of dengue and yellow fever, and to compare the incidence of these diseases with the popularity of its terms in the state of São Paulo. Methods Retrospective cohort. Google Trends survey results were compared to the actual incidence of diseases, obtained from Centro de Vigilância Epidemiológica "Prof. Alexandre Vranjac", in São Paulo, Brazil, in periods between 2017 and 2019. The correlation was calculated by Pearson's coefficient and cross-correlation function. The accuracy was analyzed by sensitivity and specificity values. Results There was a statistically significant correlation between the variables studied for both diseases, Pearson coefficient of 0.91 for dengue and 0.86 for yellow fever. Correlation with up to 4 weeks of anticipation for time series was identified. Sensitivity was 87% and 90%, and specificity 69% and 78% for dengue and yellow fever, respectively. Conclusion The incidence of dengue and yellow fever in the State of São Paulo showed a strong correlation with the popularity of its terms measured by Google Trends in weekly periods. Google Trends tool provided early warning, with high sensitivity, for the detection of outbreaks of these diseases.
RESUMO Objetivo Avaliar a acurácia do Google Trends para vigilância epidemiológica de dengue e febre amarela e comparar a incidência dessas doenças com a popularidade de seus termos no estado de São Paulo. Métodos Coorte retrospectiva. Os resultados da pesquisa Google Trends foram comparados com a incidência real de doenças, obtida do Centro de Vigilância Epidemiológica "Prof. Alexandre Vranjac", do estado de São Paulo, nos períodos entre 2017 e 2019. A correlação foi calculada pelo coeficiente de Pearson e pela função de correlação cruzada. A acurácia foi analisada por valores de sensibilidade e especificidade. Resultados Houve correlação estatisticamente significante entre as variáveis estudadas para ambas as doenças, com coeficiente de Pearson de 0,91 para dengue e 0,86 para febre amarela. Foi identificada correlação com até 4 semanas de antecipação para séries temporais. A sensibilidade foi de 87% e 90% e a especificidade de 69% e 78% para dengue e febre amarela, respectivamente. Conclusão A incidência de dengue e febre amarela no estado de São Paulo apresentou forte correlação com a popularidade de seus termos medidos pelo Google Trends em períodos semanais. A ferramenta Google Trends forneceu alerta precoce, com alta sensibilidade, para a detecção de surtos dessas doenças.
Assuntos
Humanos , Febre Amarela/epidemiologia , Dengue/epidemiologia , Brasil/epidemiologia , Surtos de Doenças , Estudos Retrospectivos , Ferramenta de BuscaRESUMO
OBJECTIVE: To analyze and compare the expression of Toll-like receptors by regulatory T cells present in the peritoneal fluid of patients with and without endometriosis. METHODS: Regulatory T cells were isolated from peritoneal fluid of women with and without endometriosis, collected during surgery, and mRNA was extracted for analysis of Toll-like receptors expression by reverse-transcriptase polymerase chain reaction. RESULTS: Patients with endometriosis presented regulatory T cells expressing a larger number and variety of Toll-like receptors when compared to regulatory T cells from patients in the Control Group. Toll-like receptor-1 and Toll-like receptor-2 in regulatory T cells were expressed in both groups. All other expressed Toll-like receptors types were only found in regulatory T cells from the Endometriosis Group. CONCLUSION: Patients with endometriosis had peritoneal regulatory T cells expressing various Toll-like receptors types.
Assuntos
Líquido Ascítico/patologia , Endometriose/patologia , Endométrio/patologia , Linfócitos T Reguladores/química , Receptores Toll-Like/análise , Adolescente , Adulto , Líquido Ascítico/imunologia , Índice de Massa Corporal , Estudos de Casos e Controles , Endometriose/imunologia , Endométrio/imunologia , Feminino , Humanos , Valores de Referência , Reação em Cadeia da Polimerase Via Transcriptase Reversa , Estatísticas não Paramétricas , Linfócitos T Reguladores/imunologia , Escala Visual Analógica , Adulto JovemRESUMO
ABSTRACT Objective To analyze and compare the expression of Toll-like receptors by regulatory T cells present in the peritoneal fluid of patients with and without endometriosis. Methods Regulatory T cells were isolated from peritoneal fluid of women with and without endometriosis, collected during surgery, and mRNA was extracted for analysis of Toll-like receptors expression by reverse-transcriptase polymerase chain reaction. Results Patients with endometriosis presented regulatory T cells expressing a larger number and variety of Toll-like receptors when compared to regulatory T cells from patients in the Control Group. Toll-like receptor-1 and Toll-like receptor-2 in regulatory T cells were expressed in both groups. All other expressed Toll-like receptors types were only found in regulatory T cells from the Endometriosis Group. Conclusion Patients with endometriosis had peritoneal regulatory T cells expressing various Toll-like receptors types.
RESUMO Objetivo Analisar e comparar a expressão de receptores do tipo Toll por células T reguladoras presentes no líquido peritoneal de pacientes com endometriose. Métodos Células T reguladoras foram isoladas do líquido peritoneal de mulheres com e sem endometriose, coletadas durante a cirurgia, e o RNAm foi extraído para análise da expressão de receptores do tipo Toll por reação em cadeia da polimerase com transcriptase reversa. Resultados Pacientes com endometriose apresentaram células T reguladoras expressando maior número e variedade de Toll por células quando comparadas com T reguladoras de pacientes do Grupo Controle. Receptores do tipo Toll-1 e receptores do tipo Toll-2 foram expressos em ambos os grupos. Todos os outros tipos de receptores Toll foram encontrados expressos apenas em células T reguladoras do grupo com endometriose. Conclusão Pacientes com endometriose apresentaram células T reguladoras peritoneais expressando vários tipos de receptores tipo Toll.