Afrillia Nuryanti Garmana
Institut Teknologi Bandung

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UJI AKTIVITAS EKSTRAK BEBERAPA TUMBUHAN TERHADAP MYCOBACTERIUM TUBERCULOSIS GALUR SENSITIF DAN RESISTEN Garmana, Afrillia Nuryanti; Sukandar, Elin Yulinah; Fidrianny, Irda
Acta Pharmaceutica Indonesia Vol 36, No 3 & 4 (2011)
Publisher : School of Pharmacy Institut Teknologi Bandung

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Abstract

Telah diteliti aktivitas ekstrak etanol batang bratawali (Tinospora tuberculata Beumee), ekstrak etanol daun binahong (Anredera cordifolia (Ten.) Steenis), ekstrak etanol rimpang kencur (Kaempferia galanga L.), dan ekstrak etanol rimpang temu putih (Curcuma zedoaria (Berg.)) terhadap Mycobacterium tuberculosis galur sensitif (H37Rv) dan resisten (HE dan SR). Ekstrak diuji pada konsentrasi 10, 20, 50, dan 100 ?g/mL media dengan metode pengenceran agar. Bakteri diinokulasikan pada media yang mengandung larutan ekstrak atau obat pembanding kemudian diinkubasi pada 37°C lalu diamati setiap minggu mulai minggu keempat sampai minggu kedelapan. Dari keempat ekstrak yang diuji, hanya ekstrak etanol rimpang kencur yang dapat menghambat pertumbuhan M. tuberculosis galur HE dan SR pada konsentrasi 100 ?g/mL media.Kata kunci : aktivitas antituberkulosis, Mycobacterium tuberculosis, Tinospora tuberculata Beumee, Anredera cordifolia (Ten.) Steenis, Kaempferia galanga L., Curcuma zedoaria (Berg.)
The Effect of Ethanol Extract of Punica granatum Linn. Leaves on Lipid Profiles of Dyslipidemic Rat Kurniati, Neng Fisheri; Garmana, Afrillia Nuryanti; Sakinah, Lia Nurul
Pharmaceutical Sciences and Research Vol. 8, No. 2
Publisher : UI Scholars Hub

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Abstract

It has been reported that peel of Punica granatum has antidyslipidemic activity. The aim of this research was to investigate the antidyslipidemic activity of Punica granatum leaf. The dried Punica granatum leaves were extracted with 96% ethanol. Rats were divided into several groups, which were normal, positive control, simvastatin at a dose of 10 mg/kg bw as reference group, and Punica granatum extract at a dose of 100 mg/kg. Before treatment, male Wistar rats were fed with high cholesterol chow for 3 months, and then plant extract was given for 4 weeks. Blood samples were collected at week 0, 12, 14, and 16 to measure the levels of total cholesterol, high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, and triglyceride. Furthermore, at the last day of extract treatment, the aorta was isolated and haematoxylin-eosin stained. Administration of ethanol leaf extract of Punica granatum at a dose of 100 mg/kg for 2 weeks significantly reduced the total cholesterol and LDL-cholesterol levels up to 27.6% and 34.79%, respectively, compared to positive control group. After 4 weeks of extract treatment, the reduction of total cholesterol and LDL-cholesterol level were up to 59.9% and 75.05%, respectively. There was no effect of extract on HDL-cholesterol and triglyceride level. Furthermore, histological study showed that ethanol extract of P. granatum reduced aortic wall thickness significantly compared to untreated group. Punica granatum leaf is potential to be developed as an antidyslipidemic drug.
Computer-Assisted Histopathological Calculation Analysis of the Sciatic Nerve of Diabetic Neuropathy Rat Model Lestari, Indah Tri; Anggadiredja, Kusnandar; Garmana, Afrillia Nuryanti; Nurafni, Sevi
Borneo Journal of Pharmacy Vol. 7 No. 2 (2024): Borneo Journal of Pharmacy
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bjop.v7i2.6590

Abstract

Histopathology is the science that studies the signs of disease by studying the structural and functional changes that occur in cells using certain types of dyes such as hematoxylin and eosin (H&E). Traditionally histopathological testing is carried out using semi-quantitative methods. A more advanced method is done by taking photos digitally, and then digital photos are quantified with the help of software such as ImageJ using plug-in tools. Recent advances in digital pathology require the development of more efficient computerized image analysis such as the Gaussian adaptive threshold method. This research aims to compare the calculation results of computer-assisted digitalization of histopathology using the ImageJ plugin manual method with automatic calculations using Gaussian adaptive threshold to quantify the amount of sciatic nerve cell damage in the Diabetic peripheral neuropathy (DPN) rat model. In this study, two image analysis methods were used to test their ability to measure the amount of cell damage in the sciatic nerve of normal rats using a model of diabetic neuropathy. The first method uses the ImageJ plugin manual. The second method is the Gaussian adaptive threshold method. The ImageJ plugin manual method obtained a cell abnormality value of 213 cells. Meanwhile, with the Gaussian adaptive threshold method, a value of 204 cells was obtained. The calculation results of the two methods show an insignificant difference between the methods p >0.05. This study presents a computerized morphometric image analysis method with the potential for pathology digitalization applications.