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All Journal Jurnal Sain Peternakan Indonesia Syntax Literate: Jurnal Ilmiah Indonesia Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan Jurnal Promotif Preventif
Hidayat, Syarief Thaufik
Unknown Affiliation
Humanities Biochemistry, Genetics & Molecular Biology Education Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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Polycystic Ovary Syndrome Markers and Mechanism Kurniawati, Erna Yovi; Pramono, Noor; Hidayat, Syarief Thaufik; Mahati, Endang
Syifa'Medika Vol 15, No 1 (2024): Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan
Publisher : Faculty of Medicine

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/sm.v15i1.7829

Abstract

Polycystic ovary syndrome (PCOS) is a complex endocrine disorder characterized by hormonal imbalances, metabolic dysregulation, and reproductive abnormalities. This study aims to elucidate the significance of PCOS markers and their mechanisms while outlining the methodology employed. A comprehensive literature review was conducted from 2020 to 2023 using databases like PubMed, ScienceDirect, EMBASE, and Google Scholar. Key search terms included "pathophysiology," "pathogenesis," "PCOS," "marker," and "biomarker," aligned with the PICOT criteria. After removing duplicates, articles underwent a two-phase screening process based on predefined inclusion criteria. Additionally, a marker mechanism flowchart was created using the Biorender application. Results highlighted the pivotal role of various markers in understanding PCOS pathophysiology and guiding clinical management. Anthropometric, visual, metabolic, inflammatory, endocrine, and oxidative stress markers were analyzed for their diagnostic, prognostic, and therapeutic implications in PCOS. The study underscores the importance of marker interactions in personalized PCOS management. Limitations in marker interpretation warrant further research to refine diagnostic accuracy and optimize therapeutic interventions. Integrating marker mechanisms enhances understanding of PCOS heterogeneity and informs targeted treatment approaches tailored to individual phenotypic variations.
Assasement and Experimental Procedure Polycystic Ovary Syndrome Rat Model: Review Kurniawati, Erna Yovi; Pramono, Noor; Hidayat, Syarief Thaufik; Mahati, Endang
Jurnal Sain Peternakan Indonesia Vol 18 No 4 (2023)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jspi.id.18.4.242-256

Abstract

A complicated endocrine condition that affects many women worldwide is called polycystic ovarian syndrome, or PCOS. The use of rat models has greatly aided research on many facets of PCOS. In addition to discussing the parameters, evaluation techniques, and indicators pertinent to PCOS research, this study evaluates the standard circumstances of PCOS rat models. Our knowledge of PCOS has improved due to investigating endocrine, hormonal, inflammatory, oxidative stress, metabolic, genetic, and microbiota-related factors in these models. The results highlight how important it is to use PCOS rat models to understand the complexities of this illness and offer possible treatment avenues.
Differences of Serum Progesterone-Induced Blocking Factor (PIBF) Levels in Pregnant Women with Abortus Imminent and Normal Pregnancy (Study on Pregnancy I Trimester) Hidayat, Syarief Thaufik; Hidayat, Muhammad Reza
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i7.60748

Abstract

To determine the difference in serum Progesterone-Induced Blocking Factor (PIBF) levels in first-trimester pregnant women between abortion imminent and normal pregnancy. An analytical observational study with a cross-sectional method involving 54 research subjects consisting of 27 pregnant women with imminent abortion and 27 pregnant women with normal pregnancies. The dependent variable in this study was serum PIBF levels. In the imminent abortion group, PIBF levels had a mean of 59.43 ng/mL with a standard deviation of 9.05 ng/mL, a median value of 58.24 ng/mL with the smallest value of 47.95 ng/mL, and the largest value of 75.82 ng/mL. There was a correlation between gestational age (p<0.001) and PIBF levels with a strong negative correlation level (r= -0.775). In the normal pregnancy group, PIBF levels had a mean of 111.53 ng/mL with a standard deviation of 24.71 ng/mL, a median value of 108.51 ng/mL with the smallest value of 79.88 ng/mL, and the largest value of 191.14 ng/mL. There was a correlation between gestational age (p=0.049) and PIBF levels with a moderately positive correlation level (r=0.361). There was a significant difference in PIBF levels (p<0.001) between the abortion imminent group and the normal pregnancy group. Subjects with PIBF levels <77.85 ng/mL were at risk for imminent abortion than subjects with PIBF levels > 77.85 ng/mL. PIBF levels were significantly lower in the abortion imminent group than in the normal pregnancy group. In the abortion imminent group, an increase in gestational age was moderately correlated with a decrease in PIBF levels.
Age, BMI, and Medical History as Determinants of Infertility in Women of Reproductive Age Kurniawati, Erna Yovi; Hidayat, Syarief Thaufik
Jurnal Promotif Preventif Vol 8 No 5 (2025): Oktober 2025: JURNAL PROMOTIF PREVENTIF
Publisher : Fakultas Kesehatan Masyarakat Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jpp.v8i5.2090

Abstract

Infertility is a complex, multifactorial condition influenced by various biological and lifestyle-related risk factors. This study aimed to examine the association between age, body mass index (BMI), and medical history with infertility among women of reproductive age. A cross-sectional analytical study was conducted among 180 women of reproductive age attending primary and secondary healthcare facilities in Yogyakarta and Central Java. Data were collected through structured interviews, anthropometric assessments, and medical record verification. Variables included age, BMI, relevant reproductive medical history (e.g., PCOS, thyroid disorders, endometriosis), and fertility status. Bivariate analyses and binary logistic regression were employed to identify significant predictors of infertility. The prevalence of infertility was 38.9%, with primary infertility comprising 62.9% of cases. Age ≥35 years (OR = 4.71; 95% CI: 2.10–10.57), abnormal BMI (OR = 3.97; 95% CI: 1.81–8.71), and reproductive-related illnesses (OR = 4.23; 95% CI: 1.97–9.08) were independently and significantly associated with infertility (p < 0.001 for all). These factors impair fertility through mechanisms involving hormonal dysregulation, metabolic imbalance, and chronic inflammation. Advanced maternal age, BMI deviations, and reproductive comorbidities are critical determinants of infertility among women of reproductive age. This study underscores the urgency of individualized fertility care within reproductive health strategies. Longitudinal and biomarker-based studies are recommended to further elucidate causal pathways and incorporate male infertility parameters.
Co-Authors Endang Mahati Hidayat, Muhammad Reza Kurniawati, Erna Yovi Noor Pramono