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All Journal Journal of Research and Technology Indian Journal of Forensic Medicine & Toxicology
Ashon Sa’adi
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Chemical Engineering, Chemistry & Bioengineering Engineering Environmental Science Industrial & Manufacturing Engineering Public Health

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Increased Corticosterone Levels due to Chronic Stress Reduces IGF-II Expression in Rattus norvigecus Ade Septiari Rahman; Reny I’tishom; Ashon Sa’adi
Indian Journal of Forensic Medicine & Toxicology Vol. 15 No. 4 (2021): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v15i4.16827

Abstract

The optimal folliculogenesis process describes a good condition of the female reproductive system.One of the main growth factors in the folliculogenesis is IGF-II which is important for proliferation anddifferentiation of granulosa cells and also steroidogenesis. Chronic stress can cause ovulation failure andfolliculogenesis disorders. Increased corticosterone levels due to chronic stress will cause disruption in the 
Correlation Luteinizing Hormone (LH)/Follicle Stimulating Hormone (FSH) Ratio with Low Density Lipoprotein (LDL)/ High Density Lipoprotein (HDL) Ratio in Polycystic Ovarium Syndrome (PCOS) Patients Susi Oktaviani; Jusak Nugraha; Ashon Sa’adi
Indian Journal of Forensic Medicine & Toxicology Vol. 15 No. 4 (2021): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v15i4.17106

Abstract

The aim of this study is to analyze the correlation between the ratio of LH and FSH levels with LDL andHDL cholesterol in PCOS patients. This study is an observational cross-sectional study. The population inthis study were women newly diagnosed with polycystic ovary syndrome who came to RSIA Ferina, RSIALombok 22, Elizabeth Clinic and RSIA Putri Surabaya and Clinical Pathology Laboratory of dr. SoetomoSurabaya. Examination of FSH, LH and LDL and HDL cholesterol levels on 27 specimens (stored frozenserum) using the ICT (Accurate Intan Madya®, VEDALAB) and enzymatic colorimetric (Dimension EXL®,Siemens) methods. Statistical analysis was performed using the Spearman and Pearson correlation test,with a significance level of p <0.05. The results showed that there was a moderate positive correlationbetween FSH and LDL cholesterol (r = 0.491, p = 0.009). Phenotype D of PCOS (non-hyperandrogenictype) had a moderate negative correlation between the LH / FSH ratio and the LDL/HDL cholesterol levelratio (r = -0.487, p <0.05). However, there was no relationship between the LH/FSH ratio and the ratioof LDL/HDL cholesterol levels in all SOPK patients in this study. This study showed that phenotype DPCOS patients (non-hyperandrogenic type) were less likely to have cardiovascular complications than otherphenotypic PCOS patients. Insulin resistance has a role in the risk of dyslipidemia in non-hyperandrogenicPCOS patients.
MEMBANDINGKAN REGRESI 4PL DAN LINIER FIT UNTUK VERIFIKASI HORMON 17β-ESTRADIOL MENGGUNAKAN METODE ELISA Arroofita Ani Sandiya; Sudjarwo; Ashon Sa’adi
Journal of Research and Technology Vol. 5 No. 1 (2019): JRT Volume 5 No 1 Jun 2019
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jrt.v5i1.445

Abstract

One solution for infertile couples to get offspring is IVF, one of the stages is a HOT procedure. On the stage there is an increasing in steroid hormone levels (estrogen) as a result of ovarian follicles development. The 17β-estradiol hormone was chosen to be verified because it can be used as a marker or marker to show the maturity follicle. Linear and logistic regression are the two most commonly used in curve making models for ELISA sandwich immunoassays. Although linear regression may be useful when analyzing samples included in the linear part of the analyte response curve, logistic regression is the preferred for multiplex immunoassays. Verification of 17β estradiol hormone regression results using linear fit obtained the value of r=0.952 while the regression value used 4PL obtained result r=0.998. But the results shown in the verification of the 17β estradiol hormone good, this were evidenced by using of SPSS software. The value of F obtained was 78.712, where the value was greater than the value of F table (6.61) which means that the value of independent variable (concentration) on value of the dependent variable (optical density value). The linearity values ​​obtained through verification using the 4PL model indicates that the linearity of this method was better based on linear regression.
VERIFIKASI LINIERITAS KURVA BAKU TESTOSTERON MENGGUNAKAN METODE ELISA (ENZYME-LINKED IMMUNOSORBENT ASSAY) Muhammad Arif Hanny Ferry Fernanda; Ashon Sa’adi; Sudjarwo
Journal of Research and Technology Vol. 5 No. 1 (2019): JRT Volume 5 No 1 Jun 2019
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jrt.v5i1.446

Abstract

Enzyme-Linked Immunosorbent Assay (ELISA) is one of the quantitative analysis methods that is often used to determine the levels of active compounds in biological samples. In this study we will verify the method of determining testosterone active compounds in blood and urine samples of female patients who have Polycystic Ovary Syndrome (PCOS) using the Human Testosterone ELISA Kit. Before conducting testosterone levels using ELISA, it is necessary to verify the linearity of the standard curve first to determine the effect of testosterone standard levels on the analyte response in the form of optical density. The linearity verification of the standard testosterone curve was calculated using linear regression calculations with determinant coefficient result was 0.978 and a value of α = 0.05. While for testing by using 4 parameter logistic (4PL) coefficient created, 0.999. Based on these results it can be concluded that the testosterone standard level has a significant influence on the response of optical density analytes.
Co-Authors Ade Septiari Rahman Arroofita Ani Sandiya I'tishom, Reny Jusak Nugraha Muhammad Arif Hanny Ferry Fernanda Sudjarwo Susi Oktaviani