Epstein Barr virus detection in cervical samples of women living with human immunodeficiency virus

Oliveira, Ledy H. S.; Santos, Larissa Silva; Nogueira, Fernanda Gomes de Oliveira

doi:10.1590/s0036-46652011000400011

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Anelloviruses are also frequent [5,9,10,11,12], while herpesvirus, polyomavirus, and adenovirus are usually detected in a small number of samples [1,5,7,13,14]. Among HIV-positive women, a similar diversity of viruses is found [4,9,15,16], except with a higher prevalence of papillomavirus infection [17,18,19,20,21,22,23,24,25].…”

Section: Introductionmentioning

confidence: 99%

Composite Analysis of the Virome and Bacteriome of HIV/HPV Co-Infected Women Reveals Proxies for Immunodeficiency

Siqueira

Curty

Deng

et al. 2019

Viruses

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The human cervical microbiome is complex, and its role in health and disease has just begun to be elucidated. In this study, 57 cervical swab samples from 19 HIV/HPV co-infected women were analyzed for both virome and bacteriome composition. Virome analysis focused on circular DNA viruses through rolling circle amplification followed by next-generation sequencing (NGS). Data were assigned to virus families and genera, and HPV types were identified. NGS data of bacterial 16S from a subset of 24 samples were assigned to operational taxonomic units and classified according to vaginal microbiome community state types (CSTs). Four viral families were found: Papillomaviridae, Anelloviridae, Genomoviridae, and Herpesviridae. Papillomavirus reads were more abundant in women with premalignant cervical lesions, which were also strongly associated with multiple (≥3) high-risk HPV infection. Anellovirus read abundance was negatively correlated with host CD4+ T-cell counts. The bacteriome revealed the presence of CST III and CST IV, and women with ≥1% frequency of genomovirus or herpesvirus reads displayed an increased risk of carrying CST IV. By characterizing the composition of the cervical circular DNA viruses and the bacteriome of HIV/HPV co-infected women, we identified putative interactions between these two microorganism communities and their associations with patients’ clinical characteristics, notably immunodeficiency status.

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Section: Introductionmentioning

confidence: 99%

Composite Analysis of the Virome and Bacteriome of HIV/HPV Co-Infected Women Reveals Proxies for Immunodeficiency

Siqueira

Curty

Deng

et al. 2019

Viruses

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Digitization of Gynecology Using Artificial Intelligence: Cervical Mapping Corroborated With Clinical Data for Conization Necessity

Minciună,

Socolov,

Szőcs

et al. 2023

Journal of Interdisciplinary Medicine

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Background Cervical cancer is the fourth most common female malignancy worldwide. In developing countries, it is the most common subtype of cancer and the third leading cause of cancer mortality among women. Artificial intelligence has the potential to be of real use in the prevention and prompt diagnosis of cervical cancer. The aim of our study was to develop a medical platform consisting of an automated observation sheet containing colposcopy data, a software that would use a machine learning module based on clinical and image data for diagnosis and treatment, and a telemedicine module to enable collaboration between gynecologists. Materials and methods Clinical and colposcopy image data from 136 patients were introduced into a machine learning module designed to generate an algorithm for proposing a preliminary diagnosis and treatment. The clinical and imaging data were corroborated to generate six options: ‘Follow-up’, ‘Pharmacotherapy’, ‘Biopsy’, ‘Curettage’, ‘DTC’, and ‘Conization’. Results Data generated by the machine learning module regarding treatment options were compared with the opinion of gynecologists and yielded an accuracy of 78% for ‘Follow-up’, 81% for ‘Pharmacotherapy’, 84% for ‘Biopsy’, 90% for ‘Curettage’, 96% for ‘DTC’, and 81% for ‘Conization’. Conclusions The developed software can be an important step towards the digitization of existing gynecology offices and the creation of intelligently automated gynecology offices related to prevention and treatment of cervical cancer. More data is needed to improve the accuracy of the developed software.

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Epstein Barr virus detection in cervical samples of women living with human immunodeficiency virus

Cited by 2 publications

References 18 publications

Composite Analysis of the Virome and Bacteriome of HIV/HPV Co-Infected Women Reveals Proxies for Immunodeficiency

Composite Analysis of the Virome and Bacteriome of HIV/HPV Co-Infected Women Reveals Proxies for Immunodeficiency

Digitization of Gynecology Using Artificial Intelligence: Cervical Mapping Corroborated With Clinical Data for Conization Necessity

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