Mellyaning Oktaviani Sonya Kirana Sari
Biology Department, Faculty of Sciences and Mathematics, Diponegoro University

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Oral microbiome signatures for gestational diabetes detection and prediction: a systematic review and evidence map Fitra Adi Prayogo; Mellyaning Oktaviani Sonya Kirana Sari
Journal of Biomedical Sciences and Health Vol. 3 No. 2 (2026)
Publisher : Universitas Karya Husada Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34310/jbsh.v3.i2.357

Abstract

Background: Gestational diabetes mellitus (GDM) shares inflammatory and microbial pathways with periodontal disease. Whether the maternal oral microbiome could support GDM detection or prediction has not been comprehensively mapped. Methods: A systematic review followed PRISMA 2020 guidance across web-based, PubMed/PMC-indexed, and publisher sources plus citation chasing and a free-database supplementary search (ten primary search iterations plus two database-equivalent saturation checks, last updated 30 June 2026). Eligible studies compared pregnant women with and without GDM using a direct oral microbial measurement. Risk of bias was assessed using QUADAS-2, PROBAST, or Newcastle-Ottawa Scale/JBI tools according to design. Results: Of 36 records identified, 14 studies (2008-2026, six countries) met the inclusion criteria. Six used community-level 16S rRNA sequencing, seven used targeted pathogen quantification, and one combined cohort profiling with mechanistic and interventional components. Only two studies reported a discrimination model (area under the curve up to 0.89), and only two sampled the oral cavity before diagnosis; the remaining twelve measured it at or after diagnosis or within indeterminate timing windows. Most studies carried unclear or high risk of bias, particularly because confounder adjustment (including pre-pregnancy body mass index, confirmed in one open-access cohort to abolish most raw associations) and temporality were inadequately reported or methodologically problematic. Conclusion: Maternal oral dysbiosis is repeatedly but heterogeneously associated with GDM, and the evidence for using it as a detection or prediction tool remains preliminary, heterogeneous, and dominated by cross-sectional, post-diagnosis designs. Prospective, confounder-adjusted studies with externally validated prediction models are needed before clinical translation.
Aquatic Plant-Based Constructed Wetlands for Antibiotic Resistance Mitigation in Wastewater: Mechanisms and One Health Implications Mellyaning Oktaviani Sonya Kirana Sari
Journal of Biomedical Sciences and Health Vol. 3 No. 2 (2026)
Publisher : Universitas Karya Husada Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34310/jbsh.v3.i2.363

Abstract

Background: Antibiotic resistance is increasingly driven by the release of antibiotic residues, antibiotic-resistant bacteria (ARB), and antibiotic resistance genes (ARGs) through wastewater. Aquatic plant-based constructed wetlands (CWs) are low-cost, nature-based treatment systems with potential to mitigate these contaminants. Objective: This narrative review evaluates the mechanisms of antibiotic, ARB, and ARG removal in planted CWs, the influence of macrophytes, substrates, and hydraulic design, and their relevance within a One Health framework. Methods: A structured search of PubMed, Scopus, and Web of Science was conducted for peer-reviewed English-language literature published from January 2014 to April 2026, supplemented by reference screening. Selected World Health Organization documents were used for policy context. No formal PRISMA process or study-level risk-of-bias assessment was undertaken. Results: Reported removal efficiencies ranged from below 30% to over 99%, depending on target contaminants, substrate, system configuration, and operating conditions. Key mechanisms included rhizosphere biodegradation, substrate adsorption, biofilm activity, plant uptake, photodegradation, and physical filtration. Reactive media such as zeolite and biochar often improved removal for selected targets, whereas evidence regarding hydraulic retention time was inconsistent. Persistence or enrichment of some ARG subtypes within substrate and biofilm compartments indicates that CWs do not consistently function as unconditional resistance sinks. Conclusion: Planted CWs are promising components of wastewater treatment for AMR mitigation, but performance remains heterogeneous. Standardized monitoring, long-term field studies, biofilm resistome characterization, hybrid treatment evaluation, and stronger One Health integration are needed.