SYLVIA ASAKA YAMASHITA HAYASHIDA

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Instituto Central, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/58 - Laboratório de Ginecologia Estrutural e Molecular, Hospital das Clínicas, Faculdade de Medicina

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  • article 9 Citação(ões) na Scopus
    Association of glucocorticoid receptor polymorphisms with clinical and metabolic profiles in polycystic ovary syndrome
    (2014) MACIEL, Gustavo A.Rosa; MOREIRA, Ricardo P.P.; BUGANO, Diogo D.G.; HAYASHIDA, Sylvia A.Y.; MARCONDES, Jose A.M.; GOMES, Larissa G.; MENDONCA, Berenice B.; BACHEGA, Tania A.S.S.; BARACAT, Edmund C.
    OBJECTIVES: We aimed to investigate whether glucocorticoid receptor gene polymorphisms are associated with clinical and metabolic profiles in patients with polycystic ovary syndrome. Polycystic ovary syndrome is a complex endocrine disease that affects 5-8% of women and may be associated with metabolic syndrome, which is a risk factor for cardiovascular disease. Cortisol action and dysregulation account for metabolic syndrome development in the general population. As glucocorticoid receptor gene (NR3C1) polymorphisms regulate cortisol sensitivity, we hypothesized that variants of this gene may be involved in the adverse metabolic profiles of patients with polycystic ovary syndrome. METHOD: Clinical, metabolic and hormonal profiles were evaluated in 97 patients with polycystic ovary syndrome who were diagnosed according to the Rotterdam criteria. The alleles of the glucocorticoid gene were genotyped. Association analyses were performed using the appropriate statistical tests. RESULTS: Obesity and metabolic syndrome were observed in 42.3% and 26.8% of patients, respectively. Body mass index was positively correlated with blood pressure, triglyceride, LDL-c, total cholesterol, glucose and insulin levels as well as HOMA-IR values and inversely correlated with HDL-c and SHBG levels. The BclI and A3669G variants were found in 24.7% and 13.4% of alleles, respectively. BclI carriers presented a lower frequency of insulin resistance compared with wild-type subjects. CONCLUSION: The BclI variant is associated with a lower frequency of insulin resistance in women with polycystic ovary syndrome. Glucocorticoid gene polymorphism screening during treatment of the syndrome may be useful for identifying subgroups of at-risk patients who would benefit the most from personalized treatment.
  • article 27 Citação(ões) na Scopus
    Discriminating between virilizing ovary tumors and ovary hyperthecosis in postmenopausal women: clinical data, hormonal profiles and image studies
    (2017) YANCE, V. R. V.; MARCONDES, J. A. M.; ROCHA, M. P.; BARCELLOS, C. R. G.; DANTAS, W. S.; AVILA, A. F. A.; BARONI, R. H.; CARVALHO, F. M.; HAYASHIDA, S. A. Y.; MENDONCA, B. B.; DOMENICE, S.
    Background: The presence of virilizing signs associated with high serum androgen levels in postmenopausal women is rare. Virilizing ovarian tumors (VOTs) and ovarian stromal hyperthecosis (OH) are the most common etiologies in virilized postmenopausal women. The differential diagnosis between these two conditions is often difficult. Objective: To evaluate the contribution of clinical features, hormonal profiles and radiological studies to the differential diagnosis of VOT and OH. Design: A retrospective study. Setting: A tertiary center. Main outcome measures: Clinical data, hormonal status (T, E2, LH and FSH), pelvic images (transvaginal sonography and MRI) and anatomopathology were reviewed. Patients: Thirty-four postmenopausal women with a diagnosis of VOT (13 women) and OH (21 women) were evaluated retrospectively. Results: Clinical signs of hyperandrogenism were more prevalent in the VOT group than the OH group. Although the VOT group showed higher T and E2 levels and lower gonadotropin levels than the OH group, a great overlap occurred among the hormone levels. A pelvic MRI provided an accurate differentiation of these two conditions. Conclusion: In this group of patients, the main features contributing to the differential diagnosis of VOT and OH were serum levels of testosterone and gonadotropins and the presence of an ovarian nodule identified on the MRI. Although the association of clinical, hormonal and radiological features contributes to the differential diagnosis of these two conditions, histopathological analysis remains the gold standard for the diagnosis of ovarian hyperandrogenism in postmenopausal women.
  • article 28 Citação(ões) na Scopus
    Two rare loss-of-function variants in the STAG3 gene leading to primary ovarian insufficiency
    (2019) FRANCA, Monica M.; NISHI, Mirian Y.; FUNARI, Mariana F. A.; LERARIO, Antonio M.; BARACAT, Edmund C.; HAYASHIDA, Sylvia A. Y.; MACIEL, Gustavo A. R.; JORGE, Alexander A. L.; MENDONCA, Berenice B.
    Background/Aim: Primary ovarian insufficiency (POI) is characterized by primary or secondary amenorrhea, infertility, low estradiol levels, and increased gonadotropin levels. Most cases of POI remain unsolved even after exhaustive investigation. Here, we performed a targeted massively parallel sequencing to identify the genetic diagnosis of primary ovarian insufficiency (POI) in a Brazilian patient. Patient and methods: An adopted 21-year-old Brazilian woman with isolated POI was selected. A custom SureSelect(xT) DNA target enrichment panel was designed and sequenced on an Illumina NextSeq 500 sequencer. The variants were confirmed using Sanger sequencing. Results: Two rare heterozygous pathogenic variants in the STAG3 gene were identified in our patient. An unpublished 1-bp duplication c.291dupC (p.Asn98Glnfs*2) and one stop codon variant c.1950C > A (p.Tyr650*) were identified in the STAG3 gene. Both undescribed heterozygous variants were absent in the public databases [1000Genomes, Exome Aggregation Consortium (ExAC), National Heart, Lung, and Blood Institute Exome Variant Server (NHLBI/EVS), database of Single Nucleotide Polymorphisms (dbSNP), Genome Aggregation Database (gnomAD)], and Online Archive of Brazilian Mutations (ABraOM) databases. Moreover, neither heterozygous variants were found in 400 alleles from fertile Brazilian women screened by Sanger sequencing. The parents' DNA was not available to segregate these variants. Conclusion: Our results suggested that POI is caused by pathogenic compound heterozygous variants in the STAG3 gene, supporting the key role of the STAG3 gene in the etiology of primary ovarian insufficiency.
  • bookPart
    Hiperprolactinemia: diagnóstico e tratamento
    (2016) HAYASHIDA, Sylvia Asaka Yamashita; FASSOLAS, George; NEVES, Erika Mendonça das; MASSABKI, Josefina Odete Polak; SOUZA, Marilene Alicia; FONSECA, Angela Maggio da
  • article 60 Citação(ões) na Scopus
    Racial and ethnic differences in the prevalence of metabolic syndrome and its components of metabolic syndrome in women with polycystic ovary syndrome: a regional cross-sectional study
    (2017) CHAN, Jessica L.; KAR, Sujata; VANKY, Eszter; MORIN-PAPUNEN, Laure; PILTONEN, Terhi; PUURUNEN, Johanna; TAPANAINEN, Juha S.; MACIEL, Gustavo Arantes Rosa; HAYASHIDA, Sylvia Asaka Yamashita; SOARES JR., Jose Maria; BARACAT, Edmund Chada; MELLEMBAKKEN, Jan Roar; DOKRAS, Anuja
    BACKGROUND: Polycystic ovary syndrome is a heterogeneous disorder and its presentation varies with race and ethnicity. Reproductive-age women with polycystic ovary syndrome are at increased risk of metabolic syndrome; however, it is not clear if prevalence of metabolic syndrome and clustering of its components differs based on race and ethnicity. Moreover, the majority of these women do not undergo routine screening for metabolic syndrome. OBJECTIVE: We sought to compare the prevalence of metabolic syndrome and clustering of its components in women with polycystic ovary syndrome in the United States with women in India, Brazil, Finland, and Norway. STUDY DESIGN: This is a cross-sectional study performed in 1089 women with polycystic ovary syndrome from 1999 through 2016 in 5 outpatient clinics in the United States, India, Brazil, Finland, and Norway. Polycystic ovary syndrome was defined by the Rotterdam criteria. Main outcome measures were: metabolic syndrome prevalence, blood pressure, body mass index, fasting high-density lipoprotein cholesterol, fasting triglycerides, and fasting glucose. Data from all sites were reevaluated for appropriate application of diagnostic criteria for polycystic ovary syndrome, identification of polycystic ovary syndrome phenotype, and complete metabolic workup. The US White women with polycystic ovary syndrome were used as the referent group. Logistic regression models were used to evaluate associations between race and metabolic syndrome prevalence and its components and to adjust for potential confounders, including age and body mass index. RESULTS: The median age of the entire cohort was 28 years. Women from India had the highest mean Ferriman-Gallwey score for clinical hyperandrogenism (15.6 +/- 6.5, P < .001). The age-adjusted odds ratio for metabolic syndrome was highest in US Black women at 4.52 (95% confidence interval, 2.46-8.35) compared with US White women. When adjusted for age and body mass index, the prevalence was similar in the 2 groups. Significantly more Black women met body mass index and blood pressure criteria (P < .001), and fewer met fasting triglycerides criteria (P < .05). The age- and body mass index-adjusted prevalence of metabolic syndrome was highest in Indian women (odds ratio, 6.53; 95% confidence interval, 3.47-12.30) with abnormalities in glucose and fasting high-density lipoprotein cholesterol criterion and in Norwegian women (odds ratio, 2.16; 95% confidence interval, 1.17-3.98) with abnormalities in blood pressure, glucose, and fasting high-density lipoprotein cholesterol criterion. The Brazilian and Finnish cohorts had similar prevalence of metabolic syndrome and its components compared to US White women. CONCLUSION: Despite a unifying diagnosis of polycystic ovary syndrome, there are significant differences in the prevalence of metabolic syndrome and clustering of its components based on race and ethnicity, which may reflect contributions from both racial and environmental factors. Our findings indicate the prevalence of metabolic syndrome components varies in women with polycystic ovary syndrome, such that compared to White women from the United States, Black US women had the highest prevalence, whereas women from India and Norway had a higher prevalence of metabolic syndrome independent of obesity. The differences in clustering of components of metabolic syndrome based on ethnicity highlight the need to routinely perform complete metabolic screening to identify specific targets for cardiovascular risk reduction strategies in these reproductive-age women.
  • bookPart
    Hiperandrogenismo
    (2013) HAYASHIDA, Sylvia Asaka Yamashita; MACIEL, Gustavo Arantes Rosa; MARCONDES, Jose Antonio Miguel; JúNIOR, José Maria Soares; BARACAT, Edmund Chada
  • bookPart
    Hirsutismo e síndrome dos ovários policísticos
    (2017) MARCONDES, José Antonio Miguel; HAYASHIDA, Sylvia Asaka Yamashita; GOMES, Larissa Garcia
  • bookPart
    Hiperprolactinemia em adolescente
    (2021) HAYASHIDA, Sylvia Asaka Yamashita; FONSECA, Ângela Maggio da; BAGNOLI, Vicente Renato; MACIEL, Gustavo Arantes Rosa
  • conferenceObject
    The Influence of Insulin on the Degree of Hirsutism of Patients with Polycystic Ovary Syndrome
    (2014) HAYASHIDA, Sylvia Yamashita; SOARES JR., Jose Maria; MIRALDI, Priscila Dias; MARCONDES, Jose Antonio; BARCELLOS, Cristiano Roberto; ANZAI, Alvaro; MACIEL, Gustavo Arantes R.; BARACAT, Edmund Chada
  • bookPart
    Hiperprolactinemia
    (2015) HAYASHIDA, Sylvia Asaka Yamashita