<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>DSpace Collection:</title>
    <link>http://localhost:8080/xmlui/handle/123456789/7347</link>
    <description />
    <pubDate>Thu, 09 Apr 2026 07:27:21 GMT</pubDate>
    <dc:date>2026-04-09T07:27:21Z</dc:date>
    <item>
      <title>HPLC Method Optimization for Simultaneous Determination of Quercetin, Luteolin, Sinensetin, and Stigmasterol in Herbal Medicines</title>
      <link>http://localhost:8080/xmlui/handle/123456789/7419</link>
      <description>Title: HPLC Method Optimization for Simultaneous Determination of Quercetin, Luteolin, Sinensetin, and Stigmasterol in Herbal Medicines
Authors: Imulda Hari Purwan, Asih; Primaharinastit, Riesta; Yuwono, Mochammad
Abstract: Abstract&#xD;
Background: Quercetin, luteolin, sinensetin and stigmasterol each is the main marker compound in extracts of&#xD;
Sonchus arvensis, Plantago major, Orthosiphon stamineus, and Strobilanthes crispus, respectively. These extracts&#xD;
show nephrolithiasis activity. For quality control of herbal medicines, a high performance liquid chromatography&#xD;
(HPLC) method has been developed in this study using quercetin, luteolin, sinensetin and stigmasterol as&#xD;
phytochemical markers. Objective: to show optimal conditions of analysis and evaluate the stability of quercetin,&#xD;
luteolin, sinensetin and stigmasterol. Methods: The optimal conditions for analysis were carried out by&#xD;
determining the composition of the mobile phase, the flow rate, and the detector's wavelength. Zorbax Eclipse Plus&#xD;
C18 150 x 4.6 mm, 5 μm was used as the column. The stability test was done by analyzing the standard and samples&#xD;
stored at 4oC for 0, 3, 6 and 24 hours. Results: The best separation of the extract was achieved under isocratic&#xD;
conditions using a mixture of water: methanol: phosphoric acid: acetic acid : acetonitrile (50: 30: 0.05: 0.05: 20&#xD;
v/v/v/ v/v) as mobile phase with detector wavelength of 352 nm, a mobile phase flow rate of 1 mL/min, and a sample&#xD;
injection volume of 10 μL. Conclusion: In this study, the optimal condition for analysis of quercetin, luteolin,&#xD;
sinensetin and stigmasterol. Quercetin, luteolin, sinensetin and stigmasterol were not stable during 6 hours&#xD;
storage, therefore, standard solutions and samples should be made fresh to maintain the stability.&#xD;
Keywords: HPLC, luteolin, quercetin, sinensetin, stigmasterol</description>
      <pubDate>Tue, 26 Apr 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/7419</guid>
      <dc:date>2022-04-26T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Potential Drug–Drug Interactions in Ambulatory Patients with Hypertension: a Retrospective Study</title>
      <link>http://localhost:8080/xmlui/handle/123456789/7418</link>
      <description>Title: Potential Drug–Drug Interactions in Ambulatory Patients with Hypertension: a Retrospective Study
Authors: Debby Saraswati, Marcha; Muti Ardiana, Shafira; Suprapti2, , Budi; Assegaf, M. Yusuf; Suharjono, Suharjono; Fitri Hamidah, Khusnul
Abstract: Abstract&#xD;
Background: Patients with cardiovascular diseases (CVD) are vulnerable to experiencing drug-drug interactions&#xD;
(DDIs). DDIs are a concern among patients receiving multiple drug regimens but they are also an avoidable cause&#xD;
of adverse drug reactions. The study of potential DDIs (pDDIs) would make it easier for the healthcare provider&#xD;
to deliver better patient care and mitigate pDDIs incidence. Objective: This study aimed to assess the frequency,&#xD;
severity level and risk factors associated with pDDIs among medications used to treat hypertensive ambulatory&#xD;
patients in Universitas Airlangga hospital. Methods: A retrospective observational study was carried out from&#xD;
electronic prescriptions received by hypertensive patients in March 2021. Data collection includes demographic&#xD;
data, the profile of antihypertensive drug use, and pDDIs. pDDIs were identified by severity using Lexicomp Drug&#xD;
Interaction Checker (Application). Univariate logistic regression analysis was used to find associated factors of&#xD;
major pDDIs. A p-value less than 0.05 (≤ 0.05) was considered statistically significant. Results: From 704 patients,&#xD;
53.98% women and 46.02% men, 89.06% (n = 627) patients had minor to major pDDIs; 1354 pDDIs were&#xD;
identified, 89.4% (n = 1,210) were moderate and 9.8% (n = 133) were major class. Multiple antihypertensive drug&#xD;
regimens had significance associated with the major pDDIs occurrence. Conclusion: We found a high prevalence&#xD;
of pDDIs among hypertensive patients. The majority of pDDIs were of moderate severity. Multiple antihypertensive&#xD;
drug regimens were associated factors in the presence of major pDDIs.&#xD;
Keywords: ambulatory patient, cardiovascular diseases, hypertension, potential drug-drug interaction</description>
      <pubDate>Tue, 26 Apr 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/7418</guid>
      <dc:date>2022-04-26T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Molecular Docking of Active Compound of Lavandula angustifolia Mill Essential Oil against N-methyl-D-aspartate (NMDA) Receptor</title>
      <link>http://localhost:8080/xmlui/handle/123456789/7417</link>
      <description>Title: Molecular Docking of Active Compound of Lavandula angustifolia Mill Essential Oil against N-methyl-D-aspartate (NMDA) Receptor
Authors: Risky Wahyu Lisnasari, Baiq; Setiya Budiatin2, , Aniek; Ardianto, Chrismawan; Khotib, Junaidi
Abstract: Abstract&#xD;
Background: Lavender oil is widely known to possess a relaxant effect to relieve stress, anxiety, and depression.&#xD;
Linalyl acetate, linalool, geranyl acetate, and β-caryophyllene were the major constituents of lavender oil that&#xD;
potentially act on NMDAR (N-methyl-d-aspartate receptors), and emerging targets in the treatment of depression.&#xD;
Objective: This study aims to predict the binding of lavender compounds to NMDA receptors using an in silico&#xD;
model. Methods: The ligands of the docking study were four major chemical compounds of lavender oil, i.e., linalyl&#xD;
acetate, linalool, geranyl acetate, and β-caryophyllene. 5YE was defined as a native ligand, while memantine, an&#xD;
NMDAR antagonist, was used as a reference ligand. The NMDAR structure was taken from Protein Data Bank&#xD;
(ID 5H8Q), while the lavender compound was sketched in Chem3D. Autodock 4.2 was used to perform the docking&#xD;
analysis. Results: The result showed that beta-caryophyllene had the most potent interaction with NMDAR (free&#xD;
binding energy was -8.02 kcal/mol and inhibitory constant was 1.32 µM). Conclusion: The docking results suggest&#xD;
that beta-caryophyllene could be an NMDAR antagonist and be developed as a treatment for depression.&#xD;
Keywords: depression, lavender oil, molecular docking, NMDAR</description>
      <pubDate>Tue, 26 Apr 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/7417</guid>
      <dc:date>2022-04-26T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Detection of Potentially Inappropriate Medication in Elderly Outpatient Based on The Beer’s Criteria 2019</title>
      <link>http://localhost:8080/xmlui/handle/123456789/7416</link>
      <description>Title: Detection of Potentially Inappropriate Medication in Elderly Outpatient Based on The Beer’s Criteria 2019
Authors: Nurmainah, Nurmainah; Astuti, Rindu; Susanti, Ressi
Abstract: Abstract&#xD;
Background: Elderly patients generally have more than one disease, so they need several drugs to treat the&#xD;
condition and Potentially Inappropriate Medication (PIM). Objective: This study aimed to examine the inaccuracy&#xD;
of prescription drugs in the elderly using Beer's criteria 2019. Methods: The research method used an&#xD;
observational study with a descriptive cross-sectional design. Beer's Criteria 2019 was compiled by The American&#xD;
Geriatrics Society (AGS) and grouped PIM into five categories. A total of 138 prescriptions met the inclusion&#xD;
criteria at the Internal Medicine Clinic. Results: The results showed that the elderly who received the prescription&#xD;
was in the age range of 60-69 years (73.2%), male gender (54%), and had comorbidity (77.5%). Of the 138&#xD;
prescriptions for elderly patients, 117 prescriptions for elderly patients experienced PIM incidence (84.78%). The&#xD;
percentage of PIM incidents was based on categories; namely, category 1 was 74.2%, category 2 was 3.5%, 3 was&#xD;
16.7%, category 4 was 3%, and category 5 was 2.5%. Medicines that include PIM in category 1 are lansoprazole,&#xD;
glimepiride, glibenclamide, alprazolam, diazepam, amitriptyline, diclofenac sodium, ibuprofen, meloxicam. PIM&#xD;
in category 2 are cilostazol, pioglitazone, and diclofenac sodium. Category 3 PIMs include furosemide,&#xD;
spironolactone, and hydrochlorothiazide (HCT), category 4 PIMs include dexamethasone-sodium diclofenac,&#xD;
methylprednisolone-ibuprofen, and alprazolam-codeine, and category 5 PIMs include spironolactone,&#xD;
ciprofloxacin, and ranitidine.. Conclusion: This study concludes that the elderly are at risk for receiving&#xD;
inappropriate drug prescriptions. Patients received more drugs belonging to category 1 PIM than category 2, 3,&#xD;
4, and 5.&#xD;
Keywords: elderly, beer’s criteria 2019, PIM</description>
      <pubDate>Tue, 26 Apr 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/7416</guid>
      <dc:date>2022-04-26T00:00:00Z</dc:date>
    </item>
  </channel>
</rss>

