Narra J (Journal)
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Predictive biomarkers of preeclampsia severity in a low resource setting: Role of red blood cell indices, NLR, and albumin-to-creatinine ratio
Get PDFPreeclampsia (PE), a serious medical condition with substantial maternal and perinatal implications, poses a significant challenge, particularly in high-incidence countries like Indonesia. Red blood cell (RBC) indices, neutrophil-to-lymphocyte ratio (NLR), and microalbuminuria (albumin-to-creatinine ratio (ACR)) may signal systemic inflammation and endothelial dysfunction, recently recognized as potential indicators for diagnosing and predicting disease severity. The aim of this study was to analyze RBC indices, NLR, and ACR changes in women with PE and their potential for predicting disease severity. A cross-sectional study was conducted at multi-center hospitals across Medan, Indonesia, from June 2022 to June 2023. The patients were grouped into PE cases with and without severe features. Demographic characteristics and complications were recorded while blood and urine were tested. The Chi-squared test, Fisher's exact test and Mann-Whitney test were used to determine biomarkers associated with severe PE. A total of 208 PE patients were included in the study (104 patients for each PE with and without severe features). Our data indicated that PE patients with severe features had higher red cell distribution width (18.5% vs 13.7%; p<0.001), NLR (5.66% vs 4.1%; p<0.001), and ACR (755.97 mg/dL vs 468.63 mg/dL; p<0.001) compared to those without severe features. In contrast, the platelet count was lower in severe features than those without (21.9 × 106/µL vs 27.0 × 106/µL; p=0.002). This study highlighted that PE patients with severe features predominantly had higher levels of RDW, NLR, and ACR and lower platelet counts compared to those without severe features. Therefore, basic tests such as complete blood count and urinalysis, which are inexpensive and feasible in primary care settings with limited resources, offer hope as valuable diagnostic biomarkers for pregnant women diagnosed with PE in a low resource setting
Detection of Pseudomonas aeruginosa pus wound isolate using a polymerase chain reaction targeting 16S rRNA and gyrB genes: A case from Indonesia
Get PDFInfectious wounds on the skin surface are easily colonized by bacteria from pyogenic group that manifest as inflammation, such as Pseudomonas aeruginosa. P. aeruginosa is a Gram-negative bacterium and an opportunistic pathogen known for causing invasive state in critically ill and immunocompromised patients. The aim of this study was to detect the 16S rRNA and gyrB genes in P. aeruginosa using polymerase chain reaction (PCR) method. The sample in this study was pus isolate from a 5-year-old boy with leg wounds. The bacteria were isolated on brain heart infusion broth (BHIB) media and identified with molecular identification. Sequencing and BLAST analysis were carried out to determine the similarity of gene identity by comparing sample sequence with other isolate sequences on the Gene Bank. The results of molecular identification showed amplification DNA band of around 934 base pairs (bp) for 16S rRNA and 225 bp for gyrB gene. The BLAST program demonstrated that the sample had 99.89% similarity with P. aeruginosa strain XC4 (accession code ON795960.1) for the 16S rRNA gene. Meanwhile, the gyrB gene exhibited 99.10% similarity with the P. aeruginosa strain PSA-1.2 (accession code KP172300.1)
Effect of pH and neutrophil count on the motility and persistence of spermatozoa in the vagina of candidiasis rat models
Get PDFSexual violence is a global issue affecting individuals regardless of their relationship to the perpetrator or the setting. Microscopic examination of spermatozoa from vaginal swabs is crucial in investigating cases of sexual intercourse to determine the time of the crime. Factors such as vaginal pH and neutrophil count influence the motility and persistence of spermatozoa in the vagina, particularly in conditions like candidiasis, highlighting the need for further research in this area. This study aimed to determine the effect of pH and neutrophil count on the motility and persistence of spermatozoa in the vagina with candidiasis. An experimental study was conducted using white rats (Rattus norvegicus) of the Wistar strain, with four male rats providing spermatozoa samples and 32 female rats receiving treatment. The female rats were divided into two groups: the normal group and the candidiasis model group. In both groups, the female rats were given vaginal insemination of spermatozoa. Variables measured included pH, neutrophil count, motility, and persistence of spermatozoa in the vagina. Data were analyzed using the Mann-Whitney test, followed by the Spearman correlation test. The findings revealed that spermatozoa motility lasted up to three minutes in normal rats, whereas in the candidiasis model, it was reduced to two minutes. Additionally, spermatozoa persistence in the vagina lasted up to six days in the normal group compared to up to three days in the candidiasis model. There were significant differences in pH, neutrophil count, motility, and persistence of spermatozoa in the vagina between the normal group and the candidiasis model (all had p<0.001). There was a correlation between pH and neutrophil count with the motility and persistence of spermatozoa in the rat’s vagina (p<0.001). In conclusion, vaginal pH and neutrophil count influence the motility and persistence of spermatozoa in the vagina of candidiasis rat models
Psoriasis vulgaris patient with psoriatic arthritis managed with interleukin-17A inhibitor: Balancing benefits and adverse effects
Get PDFPsoriasis vulgaris is a significant health problem and up to 30% of the patients are most likely to develop psoriatic arthritis. Secukinumab, an interleukin-17A (IL-17A) inhibitor, is used to treat patients with moderate-to-severe plaques associated with psoriatic arthritis. The aim of this case report was to highlight the efficacy of secukinumab treatment in a patient with both psoriasis vulgaris and psoriatic arthritis focusing the how to balance the benefits and adverse effects. A 36-year-old female came to Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia with chief complaint of itchy and scaly red plaques almost all over the body. The patient also experienced pain in both knees, both ankle joints and index finger as well as thumb in the right hand in the last year. The patient was diagnosed with psoriasis vulgaris and psoriatic arthritis, then treated with phototherapy and 15 mg of oral methotrexate each week for four weeks. Due to no improvement of the initial treatment, the patient received emollient and secukinumab at a dose of 300 mg/week subcutaneously for five weeks. The lesions began to disappear and the joint pain began to relieve. Secukinumab therapy was continued with a dose of 300 mg/month for six months. However, after six months, the patient complained of acnes appeared on the face. Therefore, the maintenance dose of secukinumab was decreased to 150 mg/month. After the reduced maintenance therapy was given, the patient came back with no complained of acnes. The erythematous plaques on trunk, back, arms and legs have subsided, as well as the joint pain. This case highlights that in a moderate-to-severe psoriasis associated with psoriatic arthritis, secukinumab is highly effective. However, since the potential adverse effects, education and regular follow-up are needed to analyze the success of the treatment and to be able to manage the adverse effects
Cytokine profiles in dengue fever and dengue hemorrhagic fever: A study from Indonesia
Get PDFRecent studies have demonstrated that cytokine dysregulation has a critical role in the pathogenesis of dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). The aim of this study was to investigate the association between tumor necrosis factor (TNF-α), interleukin 6 (IL-6), interleukin 10 (IL-10), and interleukin 17 (IL-17) with infection status, and severity of dengue. A prospective cross-sectional study was conducted at three hospitals in Gianyar regency and Denpasar municipality, Bali, Indonesia, from June to December 2022. Sixty-four dengue infected patients were involved. Patients’ serum was tested for dengue infection using NS1 antigen rapid test, dengue virus immunoglobulin M (IgM) and immunoglobulin G (IgG) test, and reverse transcription polymerase chain reaction (RT-PCR). Cytokine levels (TNF-α, IL-6, IL-10, and IL-17) were measured using enzyme-linked immunosorbent assay (ELISA). Infection status was determined by combining serological and RT-PCR results, categorizing patients into primary and secondary infections. The present study found that DF patients had lower TNF-α, IL-6, and IL-17 but higher IL-10 levels compared to DHF patients (p<0.001). Elevated TNF-α, IL-6, and IL-17 levels were higher in secondary infection, while IL-10 level was higher in primary infection (p<0.001). In conclusion, cytokines play a crucial role in the interplay between cytokine dysregulation and dengue infection dynamics
Molecular modeling of some commercially available antiviral drugs and their derivatives against SARS-CoV-2 infection
Get PDFNumerous prior studies have identified therapeutic targets that could effectively combat severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, including the angiotensin-converting enzyme 2 (ACE2) receptor, RNA-dependent RNA polymerase (RdRp), and Main protease (Mpro). In parallel, antiviral compounds like abacavir, acyclovir, adefovir, amantadine, amprenavir, darunavir, didanosine, oseltamivir, penciclovir, and tenofovir are under investigation for their potential in drug repurposing to address this infection. The aim of the study was to determine the effect of modifying the functional groups of the aforementioned antivirals in silico. Using the genetic optimization for ligand docking algorithm on software Maestro (version 11.1), the modified antivirals were docked onto ACE2 receptor, RdRp, and Mpro. Using QuickProp (Maestro v11.1), PASS (prediction of activity spectra for the substances), and altogether with SwissADME, the ADMET (absorption, distribution, metabolism, excretion, and toxicity) of the modified antivirals, as well as their bioavailability and the predicted activity spectra, were determined. Discovery studio software was used to undertake post-docking analysis. Among the 10 antivirals, N(CH3)2 derivative of darunavir, N(CH3)2 derivative of amprenavir and NCH3 derivative of darunavir exhibited best binding affinities with ACE2 receptor (docking scores: -10.333, -9.527 and -9.695 kJ/mol, respectively). Moreover, NCH3 derivative of abacavir (-6.506 kJ/mol), NO2 derivative of didanosine (-6.877 kJ/mol), NCH3 derivative of darunavir (-7.618 kJ/mol) exerted promising affinity to Mpro. In conclusion, the results of the in silico screenings can serve as a useful information for future experimental works
Application of artificial intelligence technology in monitoring students’ health: Preliminary results of Syiah Kuala Integrated Medical Monitoring (SKIMM)
Get PDFHealth promoting university is a holistic approach to health that uses higher education settings to create a learning environment that improves the health and well-being of the campus community in a sustainable manner. The utilization of technology such as artificial intelligence (AI) could be one of the main success factors in the implementation of health-promoting universities to increase the effectiveness and efficiency of all stages of activities carried out in health promotion and prevention efforts. Integrated monitoring with the utilization of AI in this program is conducted to evaluate the health status of the students. The Syiah Kuala Integrated Medical Monitoring (SKIMM) has three components of continuous health status evaluation: vital signs, nutritional status, and burnout status. Health status monitoring was conducted continuously for three months among medical students at the Faculty of Medicine Universitas Syiah Kuala, Banda Aceh, Indonesia. This system uses the WhatsApp application as a platform to monitor health status. Student health monitoring in this program consists of two main activities: the health measurement phase and the health monitoring phase. The use of the SKIMM system to monitor students' vital signs, nutritional status and burnout status through the use of AI significantly raises students' awareness to conduct timely self-examination and enables sustainable healthy lifestyle behavior change. The adoption of AI technology allows for continuous health promotion to the entire academic community, including students in implementing the health promoting university
Anti-aging and immunomodulatory role of caffeine in Drosophila larvae
Get PDFDrug repurposing is a promising approach to identify new pharmacological indications for drugs that have already been established. However, there is still a limitation in the availability of a high-throughput in vivo preclinical system that is suitable for screening and investigating new pharmacological indications. The aim of this study was to introduce the application of Drosophila larvae as an in vivo platform to screen drug candidates with anti-aging and immunomodulatory activities. To determine whether Drosophila larvae can be utilized for assessing anti-aging and immunomodulatory activities, phenotypical and molecular assays were conducted using wildtype and mutant lines of Drosophila. The utilization of mutant lines (PGRP-LBΔ and Psh[1];;ModSP[KO]) mimics the autoinflammatory and immunodeficient conditions in humans, thereby enabling a thorough investigation of the effects of various compounds. The phenotypical assay was carried out using survival and locomotor observation in Drosophila larvae and adult flies. Meanwhile, the molecular assay was conducted using the RT-qPCR method. In vivo survival analysis revealed that caffeine was relatively safe for Drosophila larvae and exhibited the ability to extend Drosophila lifespan compared to the untreated controls, suggesting its anti-aging properties. Further analysis using the RT-qPCR method demonstrated that caffeine treatment induced transcriptional changes in the Drosophila larvae, particularly in the downstream of NF-κB and JAK-STAT pathways, two distinct immune-related pathways homologue to humans. In addition, caffeine enhanced the survival of Drosophila autoinflammatory model, further implying its immunosuppressive activity. Nevertheless, this compound had minimal to no effect on the survival of Staphylococcus aureus-infected wildtype and immunodeficient Drosophila, refuting its antibacterial and immunostimulant activities. Overall, our results suggest that the anti-aging and immunosuppressive activities of caffeine observed in Drosophila larvae align with those reported in mammalian model systems, emphasizing the suitability of Drosophila larvae as a model organism in drug repurposing endeavors, particularly for the screening of newly discovered chemical entities to assess their immunomodulatory activities before proceedings to investigations in mammalian animal models
Minding the gap: Assessing patient expectations versus experiences in drug information services at community health centers (Puskesmas) in Indonesia urban settings
Get PDFIn pharmaceutical care, patients' perceptions of drug information provided by pharmacists are vital for assessing pharmaceutical services at community health centers (in Indonesian known as Puskesmas). The aim of this study was to determine the alignment between patients' expectations and experiences of drug information services by pharmacists at Puskesmas in Indonesia. This multicenter cross-sectional study utilized a validated questionnaire among outpatient patients aged 18 years and above across all 47 Puskesmas in Makassar, Indonesia. A total of 622 respondents were interviewed between September to December 2023. Significant gaps were observed between patients' expectations and experiences regarding all the drug information aspects such as quantity (median: 4 vs 3, p<0.001), drug effects (median: 4 vs 3, p<0.001), dosage form (median: 3 vs 3, p<0.001), proper administration (median: 4 vs 4, p<0.001), side effects (median: 4 vs 2, p<0.001), storage (median: 3 vs 2, p<0.001), drug-drug interactions (median: 4 vs 2, p<0.001), drug-food interactions (median: 4 vs 2, p<0.001), handling missed dose (median: 3 vs 2, p<0.001), managing accidental overdoses (median: 4 vs 2, p<0.001), history of drug use (median: 3 vs 2, p<0.001), co-medications (median: 3 vs 2, p<0.001), and previous drug allergies (median: 3 vs 2, p<0.001). Sociodemographic factors influencing patients' need for drug information services encompass age, sex, educational attainment, comorbidities, family size, number of visits, monthly income, and occupation. The quality of drug information services at Puskesmas in Indonesia still requires optimization and customization to meet the specific needs of patients, taking into account their sociodemographic characteristics
Unveiling the impacts of metformin on hepatocellular carcinoma: A bioinformatic exploration in cell lines
Get PDFThe 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