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All Journal Pharmaceutical And Biomedical Sciences Journal (PBSJ) Journal of Clinical Microbiology and Infectious Diseases
Suwarsono, Erike A.
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Studi Awal: Identifikasi Keragaman Bakteri Saliva Wanita Usia Lanjut Menggunakan Teknologi 16S rRNA Sequencing Oxford Nanopore Adhiyanto., Ph.D, Chris; Hendarmin, Laifa A.; Harriyati, Zeti; Suwarsono, Erike A.; Suri , Auliyani Andam; Nugraha, Yudhi; Gunarti, Dwirini Retno
Pharmaceutical and Biomedical Sciences Journal (PBSJ) Vol. 7 No. 1 (2025)
Publisher : Pharmaceutical and Biomedical Sciences Journal (PBSJ)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/pbsj.v7i1.49111

Abstract

The elderly are a population particularly susceptible to diseases resulting from the decline in immune system function. The mouth is one of the areas of the body that is the entry point for microorganisms into the body. It is known that the oral microbiome greatly affects oral and systemic health. The oral bacterial profile is important to understand its role in maintaining health and causing disease. Therefore, maintaining oral health is very important, especially in our study of the elderly. Utilizing advanced sequencing techniques such as Oxford Nanopore Technology (ONT) offers the opportunity to reveal bacterial diversity comprehensively. This study aims to identify the oral microbiome in a group of elderly women. Knowledge of the oral microbiota profile could help spread awareness of the benefits of maintaining good dental hygiene, especially in older adults. Methods: Seven elderly housewives had their unstimulated saliva samples taken in the morning and kept at -80°C. The phenol-chloroform technique was used to isolate the DNA, and a Qubit Fluorometer was used to measure purity and concentration. By employing ONT for 16S rRNA sequencing and Epi2Me software for analysis, taxonomic mapping of the bacterial diversity was accomplished.  Results: According to the taxonomic analysis, Streptococcus and Veillonella were the most common genera in the samples. It was common to find species like Veillonella parvula, Veillonella atypica, Streptococcus mitis, and Streptococcus rubneri. These genera contributed to the dynamics of oral biofilms by exhibiting complex ecological interactions. With advanced sequencing technologies, this work highlights the diversity of oral bacteria in elderly women in Indonesia while providing a new perspective. Notwithstanding a few limitations, these findings provide insight into the ecological dynamics of the oral microbiota, potentially leading to clinical applications in the treatment and prevention of disease.
Demographic influence on COVID-19 reinfection at the Integrated Laboratory of Syarif Hidayatullah State Islamic University Jakarta Fiena Febriyana; Suwarsono, Erike A.
Journal of Clinical Microbiology and Infectious Diseases Vol. 5 No. 2 (2025): Available online : 1 December 2025
Publisher : Indonesian Society for Clinical Microbiology (Perhimpunan Dokter Spesialis Mikrobiologi Klinik Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51559/jcmid.v5i2.91

Abstract

Background: COVID-19 can reinfect the same person, or it can be called reinfection. Reinfection that occurs has a slightly higher severity level, characterised by the need for ventilation and intensive care in the ICU, than the first infection. This study aimed to determine the influence of demographics on COVID-19 reinfection cases in the Integrated Laboratory of the Faculty of Medicine, Syarif Hidayatullah State Islamic University Jakarta, in 2020-2022. Methods: The study was an observational analytical study using a cross-sectional design conducted on patients in the Integrated Laboratory of the Faculty of Medicine, Syarif Hidayatullah State Islamic University Jakarta, who were selected by consecutive sampling. Results: The study aims to understand the relationship between gender, age, occupation, blood type, and source of sample with cases of COVID-19 reinfection. This study collected 396 samples. It was found that the majority of samples had the characteristics of women (57.8%), young adults (35.9%), unknown occupation (45.7%), unknown blood type (39.4%), hospital patients (90.2%), and experienced reinfection (31.8%). The results of the bivariate analysis showed a significant relationship between gender and age with cases of COVID-19 reinfection. Conclusions: A significant relationship was found between gender and age with cases of COVID-19 reinfection at the Integrated Laboratory of the Faculty of Medicine, Syarif Hidayatullah State Islamic University Jakarta.
Co-Authors Adhiyanto., Ph.D, Chris Dwirini Retno Gunarti Fiena Febriyana Laifa Annisa Hendarmin Nugraha, Yudhi Suri , Auliyani Andam Zeti Harriyati