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ANALISIS EFEKTIVITAS DAN KUALITAS HIDUP (UTILITY) PENGGUNAAN GABAPENTIN PADA PASIEN NYERI NEUROPATIK POST STROKE DENGAN DIABETIK NEUROPATI DI RSUD PROVINSI NTB Qiyaam, Nurul; Adikusuma, Wirawan; Andayani, Tri Murti; endarti, Dwi
Media Farmasi Indonesia Vol. 13 No. 1 (2018): Media Farmasi Indonesia
Publisher : SEKOLAH TINGGI ILMU FARMASI YAYASAN PHARMASI SEMARANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.059 KB)

Abstract

ABSTRAK Nyeri neuropatik merupakan penyakit kronis yang memerlukan penanganan relatif lama, sehingga dapat mengganggu kualitas hidup (utility) pasien. Penggunaan gabapentin dalam mengurangi intensitas nyeri pada pasien nyeri neuropatik post stroke dengan diabetik neuropati masi kontoversial. Penelitian ini dilakukan untuk menganalisis efektivitas dan kualitas hidup penggunaan gabapentin pada pasien nyeri neuropatik post stroke dan diabetik neuropati. Pengumpulan data dilakukan selama Mei –Juli 2017. Metode penelitian Quasy Eksperimental Design (two group pre-post test) kemudian dilakukan analisis efektivitas dan kualitas hidup (utility) masing-masing kelompok. Pengukuran efektifitas terapi gabapentin dilihat dari penurunan intensitas nyeri menggunakan Numerical Rating Scale (NRS) yang dikombinasi dengan Visual Analog Scale (VAS) sebelum dan 4 minggu sesudah terapi. Pengukuran kualitas hidup pasien diukur dengan kuesioner EQ-5D-3L dan kuesioner EQ-VAS sebelum dan 4 minggu sesudah terapi. Hasil penelitian menujukkan bahwa penggunaan gabapentin dalam menurunkan intensitas nyeri pada pasien nyeri neuropatik post stroke dengan diabetik neuropati efektivitasnya sama ditunjukkan dengan hasil analisis statistik (P>0,05). Penggunaan gabapentin dalam meingkatkan kualitas hidup pada pasien nyeri neuropatik post stroke dengan diabetik neuropati efektivitasnya juga sama ditunjukan dengan hasil analisis statistik (P>0,05).
EFEK HEPATOPROTEKTIF SERBUK AKAR PASAK BUMI (Eurycoma longifolia Jack.) DILIHAT DARI AKTIVITAS SGPTSGOT TIKUS JANTAN YANG DIINDUKSI CCl4 Adikusuma, Wirawan; Bachri, Moch. Saiful
Pharmaciana Vol. 4 No. 2 (2014): Pharmaciana
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/pharmaciana.v4i2.1574

Abstract

This study was designed to evaluate the hepatoprotective effect of the powder Eurycomalongifolia Jack. From the activity level of SGPT-SGOT on CCl4-induced in male rats. Twentyfive male rats (150-250 g) divide in to 5 groups. Group I treated with aquadest was kept asnormal, group II treated with a single dose of CCl4 (1 ml/ kg BW i.p), group III and IV weretreated with Eurycoma longifolia Jack. (100 mg/kg BW and 200 mg/kg BW p.o) respectivelyand CCl4 (1 ml/kg BW i.p), group V treated with a single dose of curcumin (100 mg/kg BWp.o) and CCl4 (1 ml/kg BW i.p). Blood was collected from vena porta for determination ofSGPT-SGOT. The study showed the activity level of SGPT from the rats was treated byEurycoma longifolia Jack. 100 mg/kg BW and 200 mg/kg BW, Curcumin, and control groupsare 150.0±5.099 U/L; 113.6±5.508 U/L; 60.5±2.887 U/L; and 129.0±6.055 U/L respectively. Mean while the activity level of SGOT from the rats was treated by Eurycoma longifolia Jack.100 mg/ kg BW and 200 mg/ kg BW, Curcumin, and control groups are 369.4±11.165;263.0±1.803; 194.5±7.448; and 451.5±16.759 U/L respectively. The Eurycoma longifoliaJack. powder and Curcumin significantly (p < 0.05) declines two enzymes (SGPT and SGOT)than control group. The results concluded that Eurycoma longifolia Jack. powder hashepatoprotective effect.
Identifying Gene Variants That Are Pathogenic In Osteoporosis Using An Omics Data And Bioinformatics Approach Danang Prasetyaning Amukti; Lalu Muhammad Irham; Ria Indah Pratami; Wirawan Adikusuma
Biomedical Journal of Indonesia Vol. 10 No. 3 (2024): Vol 10, No 3, 2024
Publisher : Fakultas Kedokteran Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bji.v10i3.199

Abstract

Introduction. The biological cause of osteoporosis, a metabolic bone disease, is osteoclastic bone resorption that is not offset by osteoblastic bone synthesis. Fractures become more likely as a result of the bones being brittle and weak. Common genetic variants that indicate hereditary susceptibility factors to osteoporosis in the general population, as well as mutations affecting specific genes that cause uncommon monogenic causes of osteoporosis, are the two main types of osteoporosis. Bone defects can now be caused by numerous additional genes. In this study, we aimed to identify variants of this pathogen across continents using genome-based and bioinformatics methodologies. Methods. We integrated osteoporosis-associated variants into this study using various bioinformatics-based techniques by using GWAS data from the National Human Genome Research Institute (NHGRI). Results. We found that the variant rs3742909 is likely to cause osteoporosis. SMOC1 gene expression in whole blood tissue also appears to be affected by this variant. We found that this genomic variant requires additional research to validate functional and clinical studies in patients with osteoporosis. Conclusions. We suggest that better understanding of disease susceptibility, including osteoporosis, can be achieved through the merging of genome-based databases and bioinformatics. Our goal is to validate the findings of this study both in vitro and in vivo during the preclinical stage.
Promising candidate drug target genes for repurposing in cervical cancer: A bioinformatics-based approach Pratiwi, Nurfi; Ulfah, Aida J.; Rachmadina, Rachmadina; Irham, Lalu M.; Afief, Arief R.; Adikusuma, Wirawan; Darmawi, Darmawi; Kemal, Rahmat A.; Rangkuti, Ina F.; Savira, Maya
Narra J Vol. 4 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i3.938

Abstract

Cervical cancer is the fourth most common cancer among women globally, and studies have shown that genetic variants play a significant role in its development. A variety of germline and somatic mutations are associated with cervical cancer. However, genomic data derived from these mutations have not been extensively utilized for the development of repurposed drugs for cervical cancer. The objective of this study was to identify novel potential drugs that could be repurposed for cervical cancer treatment through a bioinformatics approach. A comprehensive genomic and bioinformatics database integration strategy was employed to identify potential drug target genes for cervical cancer. Using the GWAS and PheWAS databases, a total of 232 genes associated with cervical cancer were identified. These pharmacological target genes were further refined by applying a biological threshold of six functional annotations. The drug target genes were then cross-referenced with cancer treatment candidates using the DrugBank database. Among the identified genes, LTA, TNFRSF1A, PRKCZ, PDE4B, and PARP were highlighted as promising targets for repurposed drugs. Notably, these five target genes overlapped with 12 drugs that could potentially be repurposed for cervical cancer treatment. Among these, talazoparib, a potent PARP inhibitor, emerged as a particularly promising candidate. Talazoparib is currently being investigated for safety and tolerability in other cancers but has not yet been studied in the context of cervical cancer. Further clinical trials are necessary to validate this finding and explore its potential as a repurposed drug for cervical cancer.
Unveiling the impacts of metformin on hepatocellular carcinoma: A bioinformatic exploration in cell lines Soraya, Soraya; Arfianti, Arfianti; Adikusuma, Wirawan; Irham, Lalu M.; Hamidy, Muhammad Y.; Winarto, Winarto; Rangkuti, Ina F.; Darmawi, Darmawi
Narra J Vol. 4 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i3.968

Abstract

The most common type of liver cancer is hepatocellular carcinoma (HCC), accounting for 75–85% of cases. Despite its associated side effects, sorafenib remains the standard treatment for HCC. Given the critical need to improve therapeutic efficacy while minimizing adverse effects, alternative drugs must be thoroughly investigated. Numerous studies indicate that combining sorafenib with metformin results in a more favorable treatment profile. The aim of this study was to employ bioinformatics methodologies to elucidate the molecular pathways and genetic underpinnings of metformin's efficacy in HCC treatment. Genes associated with metformin and its action against HCC (Huh-7 and HepG2 cells) were acquired from the NCBI-GEO data collection by utilizing pre-determined keywords. Subsequently, pathways implicated in metformin-mediated HCC treatment were analyzed through the Kyoto Encyclopedia of Genes and Genomes (KEGG). Our analysis revealed the involvement of multiple pathways, with metabolic pathways implicated in 80% of the total cases. Neurodegenerative pathways were involved in only around 60% of the total cases. These findings align with the multifaceted mechanisms of metformin’s action, encompassing adenosine monophosphate-activated protein kinase activation, apoptosis induction, insulin regulation, anti-inflammatory responses, and modulation of cell proliferation. This comprehensive investigation sheds light on the intricate molecular landscape underpinning metformin's therapeutic efficacy in HCC, thereby informing potential avenues for optimizing treatment strategies.
Evaluasi Kualitas Hidup Pasien Diabetes Mellitus Tipe 2 Dengan Kombinasi Anti Diabetik Oral-Oral Di RSUD Provinsi NTB Puspita Anjani, Baiq Lenysia Puspita; Sierly, Nadia; Adikusuma, Wirawan; Qiyaam, Nurul; Furqani, Nur; Rahmawati, Cyntiya
Lumbung Farmasi: Jurnal Ilmu Kefarmasian Vol 5, No 2 (2024): Juli
Publisher : UNIVERSITAS MUHAMMADIYAH MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/lf.v5i2.23492

Abstract

Background: based on data from the Ministry of Health NTB, the prevalence of Diabetes Mellitus in West Nusa Tenggara in 2020 is around 59,606 people divided into 10 regencies and cities. The highest prevalence of diabetes is type 2 diabetes mellitus (DMT2). One way to assess the success of T2DM therapy is to measure quality of life using Quessionnair's Diabetic Quality Of Life Clinical Trial (DQLCTQ) questionnaire. The purpose of the study: to evaluate the quality of life of DMT2 patients who received oral-oral antidiabetic combination at West Nusa Tenggara Provincial Hospital. Method: observational  analytic with Cross Sectional design with  Concurrent patient data collection. Samples: 56 T2DM patients. The results of the study: on  the characteristics of respondents there was no difference in quality of life on gender, age, occupation and length of suffering from T2DM. Patients who received the combination of metformin and glimepiride had a quality of life score of 71.84, while patients who received the combination of metformin and glimepiride 74.77. Research conclusion: statistical test  with independent sample t-test showed no significant difference between the two groups (p = 0.268).
EVALUASI KEPATUHAN PASIEN DIABETES MELITUS TIPE 2 DI RUMAH SAKIT UMUM PKU MUHAMMADIYAH BANTUL, YOGYAKARTA Adikusuma, Wirawan; Perwitasari, Dyah Aryani; Supadmi, Woro
Media Farmasi: Jurnal Ilmu Farmasi Vol. 11 No. 2: September 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v11i2.1880

Abstract

Diabetes melitus merupakan sekumpulan penyakit metabolik dengan karakteristik hiperglikemia yang terjadi karena kelainan sekresi insulin, kerja insulin atau kedua-duanya. Penelitian ini dilakukan untuk mengetahui kepatuhan pasien DM tipe 2 di RSU PKU Muhammadiyah Bantul.Penelitian ini dilakukan dengan metode observasional crossectional dengan mengambil data pasien secara prospektif selama periode Oktober-Desember 2013. Subyek penelitian adalah pasien diabetes melitus tipe 2 rawat jalan di RSU PKU Muhammadiyah Bantul yang telah menerima antidiabetik oral minimal 6 bulan terapi sebelum pengukuran kepatuhan. Subyek yang memenuhi kriteria inklusi sejumlah 56 pasien diabetes melitus tipe 2 dibagi menjadi dua kelompok yaitu kelompok monoterapi sejumlah 24 pasien dan kelompok kombinasi terapi sejumlah 32 pasien. Pengumpulan data dilakukan dengan melakukan wawancara dan pengisian kuesioner Medication Adherence Report Scale (MARS) untuk mengukur kepatuhan.  Hasil penelitian menunjukkan bahwa tingkat kepatuhan antara monoterapi dan kombinasi terapi berbeda signifikan (p>0,05). Pada faktor karakteristik hanya jenis kelamin yang berpengaruh terhadap kepatuhan  [RR=0,463; interval kepercayaan 95%: 0,202-1,062]  
Integration of genomic databases and bioinformatic approach to identify genomic variants for sjogren’s syndrome on multiple continents Puspitaningrum, Anisa Nova; Perwitasari, Dyah Aryani; Adikusuma, Wirawan; Djalilah, Gina Noor; Dania, Haafizah; Maliza, Rita; Faridah, Imaniar Noor; Sarasmita, Made Ary; Rezadhini, Melodia; Cheung, Rocky; Irham, Lalu Muhammad
Media Farmasi: Jurnal Ilmu Farmasi Vol. 19 No. 2: September 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v19i2.23706

Abstract

An autoimmune disorder is an abnormality that causes a disease. It is caused by a weakened immune system. One of the autoimmune diseases is Sjogren’s syndrome, which affects the salivary and lacrimal glands and causes dry mouth, dry eyes, and dry skin. Sjogren’s syndrome influences humans of every age, with the symptoms occurring at the age of 45–55 years and rarely in children. One of the factors causing Sjogren’s syndrome is genetic disorders. To identify genes that can influence Sjogren’s syndrome in this study, we used several databases, including GWAS Catalog, HaploReg Version 4.1, GTEX portal, and Ensembl, particularly to identify the gene expression profiles of TNIP1, TNFAIP3, and IRF5 and the quantitative properties of locus’ expression. This research showed that the missense variants and splice donor rs2233290, rs2230926, and rs2004640 influenced the susceptibility of autoimmune diseases, especially Sjogren’s syndrome, in the fibroblast tissue, sigmoid tissue, sigmoid colon, skin, esophagus, and adrenal glands. The allele frequency of each variant was then assessed in African, American, European, and Asian populations. Our data showed that TNIP1, TNFAIP3, and IRF5 genes in African and American populations had higher frequencies than in the Asian population. This implies that the last of the aforementioned populations might be relatively susceptible to the autoimmune disease Sjogren’s syndrome.
Mapping rheumatoid arthritis susceptibility through integrative bioinformatics and genomics Medi Sushanti, Nining; Adikusuma, Wirawan; Afief, Arief Rahman; La’ah, Anita Silas; Firdayani, Firdayani; Chong, Rockie; Zakaria, Zainul Amiruddin; Purwanto, Barkah Djaka; Satria, Rahmat Dani; Khair, Riat; Septama, Abdi Wira; Irham, Lalu Muhammad
Media Farmasi: Jurnal Ilmu Farmasi Vol. 20 No. 1: March 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v20i1.24912

Abstract

Rheumatoid arthritis (RA) is an autoimmune disease that influences several organs and tissues, especially the synovial joints, and is associated with multiple genetic and environmental factors. Numerous databases provide information on the relationship between a specific gene and the disease pathogenesis. However, it is important to further prioritize biological risk genes for downstream development and validation.  This study aims to map RA-association genetic variation using genome-wide association study (GWAS) databases and prioritize influential genes in RA pathogenesis based on functional annotations. These functional annotations include missense/nonsense mutations, cis-expression quantitative trait locus (cis-eQTL), overlap knockout mouse phenotype (KMP), protein-protein interaction (PPI), molecular pathway analysis (MPA), and primary immunodeficiency (PID). 119 genetic variants mapped had a potential high risk for RA based on functional scoring. The top eight risk genes of RA are TYK2 and IFNGR2, followed by TNFRSF1A, IL12RB1 and CD40, C5, NCF2, and IL6R. These candidate genes are potential biomarkers for RA that can aid drug discovery and disease diagnosis.
Identification of Biomarker for Stunting Through Prioritization of Gene-Assosiated Variants Wibowo, Anisa Devi Kharisma; Puspitaningrum, Anisa Nova; Ma’ruf, Muhammad; Irham, Lalu Muhammad; Supadmi, Woro; Kartikasari, Ayu Lifia Nur; Adikusuma, Wirawan; Chong, Rockie; Firman, Firman; Nugraha, Media Fitri Isma Isma; Siswanto, Lalu Muhammad Harmain; Khairi, Sabiah; Pranata, Satria
Media Farmasi: Jurnal Ilmu Farmasi Vol. 21 No. 1: March 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v21i1.28297

Abstract

Stunting is a condition of impaired growth and development in children due to chronic nutritional disorders or infections. The risk factor for stunting is dominated by disease during 1000 days of life. The incidence of stunting in Indonesia is 21.6%, according to the Indonesian Nutrition Status Survey (SSGI) results. This study aimed to identify stunting biomarkers based on the priority scoring of gene variants. Identification of stunting risk genes used the Genome-Wide Association Studies (GWAS) approach and Haploreg v4.1. We found 33 genes that identifies as stunting risk gene. And then, we prioritize based on two functional annotation categories: missense-nonsense and cis-expression quantitative trait loci (cis-eQTL). Our analysis found 4 genes as biological stunting risk genes: MTRR, TTF1, CASP1, and CARD17. This research demonstrates the integration of genomic variants and bioinformatics approaches to reveal biological insights for stunting.
Co-Authors Abdi Wira Septama Abdi Wira Septama Abdi Wira Septama Abdi Wira Septama Abdi Wira Septama Abdi Wira Septama Adi Wira Septama Adrian A. Kaptein Afief, Arief R. Afief, Arief Rahman Ageng Brahmadhi Anak Agung Gede Sugianthara Ananda, Dwi Rizki Anisa Devi Kharisma Wibowo Anisa Nova Puspitaningrum Anisa Nova Puspitaningrum Anisa Nova Puspitaningrum Anita Silas La’ah Anna Pradiningsih Anna Pradiningsih Annisa Abdi Ghifari Arfianti Arfianti Arief Rahman Afief Arief Rahman Afief Arief Rahman Afief Asamuni, GJ Rahma Dewi Auren Nathania Ayu Fatmala Ayu Lifia Nur Kartikasari Baiq Leny Nopitasari Baiq Lenysia Puspita Anjani Baiq Nurbaety Barkah Djaka Purwanto Barkah Djaka Purwanto Cheung, Rocky Chong, Rockie Cyntiya Rahmawati Danang Prasetyaning Amukti Darmawi Darmawi Darmawi Donel S Dyah A. Perwitasari Dyah Aryani Perwitasari Eko Mugiyanto Eko Satria Putra Firdayani Firdayani Firdayani Firdayani, Firdayani Firman Firman Fita Yuliana Furqani, Nur Gina Noor Djalilah GJ Rahma Dewi Asamuni Haafizah Dania Haafizah Dania Haafizah Dania Hamidy, Muhammad Y. Henry Budiawan Prasetya Herjanti Ratnawiningsih Imaniar Noor Faridah Imaniar Noor Faridah Indri Istiqomah Irham, Lalu M. Irmatika Hendriyani Kartikasari, Ayu Lifia Nur Kemal, Rahmat A. Khair, Riat Khairi, Sabiah La Malihi Lalu Muhammad Irham La’ah, Anita Silas Leina Putri Zahra Lisza Niarisessa Made Ary Sarasmita Maliza, Rita MARIA BINTANG Maulida Mazaya Maya Savira Ma’ruf, Muhammad Medi Sushanti, Nining Melodia Rezadhini Melodia Rezadhini Moch. Saiful Bachri Muhammad Yulis Hamidy Nanik Sulistyani Ni Made Ary Sarasmita Nining Medi Sushanti Nining Medi Sushanti Nopitasari, Baiq Leny Nugraha, Media Fitri Isma Isma Nur Furqani Nurfi Pratiwi, Nurfi NURUL AZIZAH Nurul Hidayatullah Nurul Qiyaam, Nurul Pendicho Eko Yuliyanto Pranata, Satria Purwanto, Barkah Djaka Puspita Anjani, Baiq Lenysia Puspita Puspitaningrum, Anisa Nova Putu Gede Suriya Gunawan Rachmadina, Rachmadina Rahmat Dani Satria Rahmawati, Cyntiya Rangkuti, Ina F. Renardy Reza Razali Rezadhini, Melodia Ria Indah Pratami Riat El Khair Riat Khair Rihhadatul Aisy Risma Widia Ningsih Rockie Chong Rocky Cheung Rocky Cheung Rocky Cheung Safwan Safwan Safwan Safwan Santri, Ichtiarini Nurullita Satria, Rahmat Dani Shoma Rikifani Sierly, Nadia Siswanto, Lalu Muhammad Harmain Soraya Soraya Tien Partini Tri Murti Andayani Ulfah, Aida J. Uswaton Hasanah Wibowo, Anisa Devi Kharisma Winarto Winarto Winarto Winarto Wiwin Suhandri Wiwit Ade Fidiawati Woro Supadmi Woro Supadmi Yudha Rizky Nuari Zainul Amiruddin Zakaria Zakaria, Zainul Amiruddin