Garuda - Garba Rujukan Digital

Elevated serum malondialdehyde (MDA), insulin, follicle-stimulating hormone (FSH), luteinizing hormone (LH), and thyroid-stimulating hormone (TSH), and reduced antioxidant vitamins in polycystic ovarian syndrome patients Abdullah A. Mahmud; Umme H. Anu; Kazi A. Foysal; Mahedi Hasan; Sazaul M. Sazib; Abdullah A. Ragib; Asad B. Taher; Md Shajjad Hossain; Mohammad S. Islam; Md Shohel Hossain; Talha B. Emran
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.56

Elevated oxidative stress and hormonal imbalance have been suggested associate with polycystic ovarian syndromes (PCOS), a causal factor for unsuccessful pregnancy outcomes and other associated complications in women. The aim of this study was to compare the oxidative stress markers and different relevant hormone between pregnant women with and without PCOS. The levels of malondialdehyde (MDA), insulin, follicle-stimulating hormone (FSH), luteinizing hormone (LH), thyroid-stimulating hormone (TSH), vitamin A and vitamin C were measured in 80 pregnant women with PCOS and 80 healthy pregnancies. The mean MDA and insulin levels were significantly elevated in pregnant with PCOS compared to healthy controls (1.98±0.07 vs. 1.06±0.02 nmol/mL and 11.15±0.25 vs. 6.67±0.25 mIU/L, respectively with p<0.001 for both). Compared to healthy controls, the mean concentrations of FSH (3.65±0.16 vs. 1.75±0.10 IU/L) and LH (15.67±0.63 vs. 3.65±0.16 IU/L) were significantly higher in pregnant women with PCOS, p<0.001 for both comparisons. Similarly, the concentration of serum TSH was also higher in PCOS cases compared to controls (2.79±0.22 vs.2.34±0.06, p=0.048). In contrast, the levels of vitamin A and C were lower in PCOS cases compared to healthy pregnancy group, 0.45±0.01 vs. 1.05±0.01 and 0.26±0.01 vs. 0.53±0.02, respectively with p-values <0.001 for both comparations. In conclusion, in PCOS, serum MDA, insulin, FSH, LH and TSH levels elevated while the level of antioxidant vitamins lower compared to healthy pregnant women. Unusual hormonal imbalance and increase of oxidative stress markers during the pregnancy might important to establish the PCOS diagnosis.

Association between depression and HbA1c levels in the elderly population with type 2 diabetes mellitus during COVID-19 pandemic Zulfa Zahra; Cut T. Ramadhani; Teuku Mamfaluti; Subhan R. Pamungkas; Sarah Firdausa
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.51

Diabetes mellitus is a chronic progressive disease affecting the metabolic hormonal system and its prevalence in the elderly population is high. Depression is one of the psychiatric disorders in diabetic patients in particular during the coronavirus disease 2019 (COVID-19) pandemic. People with depression are more susceptible to leading an unhealthy lifestyle; therefore, depression and diabetes have a negative influence on life quality and aggravate complications and symptoms. The aim of this study was to determine the association between depression and hemoglobin A1c (HbA1c) levels in elderly with type 2 diabetes mellitus patients. A cross-sectional study was conducted where a total of 42 diabetic patients from the Puskesmas Belakang Padang, Batam of Indonesia was recruited. The HbA1c level, the main determinant of optimum glycemic control, was measured using ion-exchange high-performance liquid chromatography while the level of depression was assessed using Geriatric Depression Scale-15 (GDS-15). The association between depression and HbA1c levels was analyzed using the chi-squared test. Our study found that that 69% of the elderly with diabetes experienced a depression, classified as mild (40.5%), moderate (21.4%) and severe (7.1%). There were 61.9% of the subjects had poor HbA1c control. Our data suggested that the depression level was associated with HbA1c (p=0.002). In conclusion, there is a significant association between depression and HbA1c levels in the elderly with type 2 diabetes mellitus.

A comparative assessment on gene expression classification methods of RNA-seq data generated using next-generation sequencing (NGS) Setia Pramana; I Komang Y. Hardiyanta; Farhan Y. Hidayat; Siti Mariyah
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.60

Next-generation sequencing or massively parallel sequencing have revolutionized genomic research. RNA sequencing (RNA-Seq) can profile the gene-expression used for molecular diagnosis, disease classification and providing potential markers of diseases. For classification of gene expressions, several methods that have been proposed are based on microarray data which is a continuous scale or require a normal distribution assumption. As the RNA-Seq data do not meet those requirements, these methods cannot be applied directly. In this study, we compare several classifiers including Logistic Regression, Support Vector Machine, Classification and Regression Trees and Random Forest. A simulation study with different parameters such as over dispersion, differential expression rate is conducted and the results are compared with two mRNA experimental datasets. To measure predictive accuracy six performance indicators are used: Percentage Correctly Classified, Area Under Receiver Operating Characteristic (ROC) Curve, Kolmogorov Smirnov Statistics, Partial Gini Index, H-measure and Brier Score. The result shows that Random Forest outperforms the other classification algorithms.

Genetic, antimicrobial resistance profile and mortality rates of Acinetobacter baumannii infection in Brazil: A systematic review Mirian CB. Silva; Maria HB. Werlang; Deborah F. Vandresen; Paulo CN. Fortes; Claudisséia R. Pascotto; Léia C. Lúcio; Lirane ED. Ferreto
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.68

The increase of multidrug-resistant bacteria - including Acinetobacter baumannii (A. baumannii) - has been reported globally. The aim of this systematic review was to determine the risk factors of A. baumannii infection, its resistance profile, reservoirs and mortality rates in Brazil. Data from over 3,000 patients were included. Results suggested that A. baumannii is widely transmitted in Brazil and the endemic clones ST1, ST15, ST 25, ST79, ST162 and ST730 were the most reported; also, blaOXA23, blaOXA51 and blaOXA143 were common resistant genes. The risk factors for A. baumannii infectionincluded the procedure of using invasive devices, previous antibiotic therapy, hemodialysis, comorbidities and higher scores on the Sequential Organ Failure Assessment (SOFA). Two out of five studies identified multidrug resistant A. baumannii to polymyxin. Mortality rates varied between 43.7% to 81%, except for the ST25 strain in which there was a 100% mortality rate. Mortality was associated with sepsis, respiratory infection, septic shock, old age (>60 years) and administration of norepinephrine. Nonetheless, this review highlights the need for more data on A. baumannii infectionacross Brazil to support public policies aiming to control and prevent the dissemination of this bacteria.

Titer disparity of anti-Spike receptor binding domain SARS-CoV-2 antibody between vaccinated and naturally infected individuals Dewa P. Surawan; Duwi Sumohadi; Anak AG. Budhitresna; Putri P. Lestari; Kartika Dewi; Wasudewa Wikananda; Retenra P. Suwari; Md. Rabiul Islam; Haypheng Te; Ali A. Rabaan; Sri Masyeni
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.71

In conjunction with other health promotion strategies, vaccination of coronavirus disease 2019 (COVID-19) is a strategy to alleviate the burden of infection. The aim of this study was to determine the differences in antibody response strength between individuals who received COVID-19 vaccination and those who had a natural infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A cross-sectional study was conducted among post-natural confirmed COVID-19 infection and immunized people in Bali, Indonesia. The vaccination was using Sinovac-CoronaVac with two-weeks interval between the two vaccine doses. To measure the level of anti-Spike receptor binding domain (SRBD) of SARS-CoV-2 antibody, we used Roche electro-chemiluminescence immunoassay (ECLIA) platform. Blood samples were obtained before and 28 days after first immunization in the vaccinated group, as well as two weeks after hospital discharge in the confirmed COVID-19 patients based on real-time reverse transcription polymerase chain reaction (RT-PCR). A total of 58 confirmed COVID-19 patients and 60 vaccinated individuals were included. On the 28th day after the initial vaccination, the seroconversion rate among vaccinated individuals was 91.67%. The mean titer of anti-SRBD SARS-CoV-2 antibody among vaccinated participants was 63.62±82.57 IU/mL (ranged between 0 IU/mL and 250 IU/mL). The mean titer among naturally infected group was 188.47±94.57 IU/mL (ranged between 4.25 IU/mL to 250 IU/mL) regardless the severity of COVID-19. Our data suggested that the titer of anti-SRBD SARS-CoV-2 antibody was significantly higher in naturally infected individuals compared to those who received COVID-19 vaccination (p<0.001). These data suggest that not all individuals vaccinated with Sinovac COVID-19 had protective level of anti-SRBD SARS-CoV-2 antibody and booster dose of heterologous vaccine maybe required.

COVID-19 pandemic and its impacts on the environment: A global perspective Gbeminiyi R. Otolorin; Akefe I. Oluwatobi; Olaolu T. Olufemi; Daniel O. Esonu; Hassana I. Dunka; Williams A. Adanu; Friday A. Danjuma; David C. Abiayi; Victoria A. Adegoke; David O. Omoniwa; Ovwighose N. Oghenefega; Philip P. Mshelbwala
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.72

Many researchers worldwide have focused on the health impact of the coronavirus disease 2019 (COVID-19) pandemic without paying much emphasis to the environmental impacts associated with the pandemic. Evidence suggests that prior to the pandemic there was an alarming increase in environmental pollution due to rising industrialization, in particular in urban areas. Following the COVID-19 pandemic, satellite data over Asia and Europe showed a substantial decrease in air pollution, in particular nitrogen dioxide. However, the increase in industrial and household wastes may pose a significant challenge to environmental management. The improper management of these wastes poses an unforeseen “knock-on” effect on human health and the environment. It is imperative to establish an effective and safe procedure, for handling and disposing of the consequential wastes accumulating during the pandemic. The review aims to highlight both the beneficial and detrimental effects of COVID-19 pandemic on the natural environment and to discuss the possible strategies to improve the quality of the global environment during the period of the pandemic and beyond.

Willingness-to-pay for COVID-19 vaccine in ten low-middle-income countries in Asia, Africa and South America: A cross-sectional study Malik Sallam; Samsul Anwar; Amanda Yufika; Marhami Fahriani; Milda Husnah; Hendrix I. Kusuma; Rawan Raad; Namareg ME. Khiri; Rashed YA. Abdalla; Rashed Y. Adam; Mohajer IH. Ismaeil; Asma Y. Ismail; Wajdi Kacem; Zeineb Teyeb; Khaoula Aloui; Montacer Hafsi; Nesrine Ben Hadj Dahman; Manel Ferjani; Dalia Deeb; Dina Emad; Farah S. Sami; Kirellos Said Abbas; Fatma A. Monib; Subramaniam R; Suhrud Panchawagh; Khan Sharun; Sunil Anandu; Mahir Gachabayov; Md A. Haque; Talha B. Emran; Guilherme W. Wendt; Lirane ED. Ferreto; María F. Castillo-Briones; Rocío B. Inostroza-Morales; Sebastián A. Lazcano-Díaz; José T. Ordóñez-Aburto; Jorge E. Troncoso-Rojas; Emmanuel O. Balogun; Akele R. Yomi; Abiodun Durosinmi; Esther N. Adejumo; Eyiuche D. Ezigbo; Morteza Arab-Zozani; Elham Babadi; Edris Kakemam; Irfan Ullah; Najma I. Malik; Deema Dababseh; Francesco Rosiello; Seyi S. Enitan
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.74

Vaccine hesitancy is considered as one of the greatest challenges to control the ongoing coronavirus disease 2019 (COVID-19) pandemic. A related challenge is the unwillingness of the general public to pay for vaccination. The objective of this study was to determine willingness-to-pay (WTP) for COVID-19 vaccine among individuals from ten low-middle-income countries (LMICs) in Asia, Africa, and South America. Data were collected using an online questionnaire distributed during February - May 2021 in ten LMICs (Bangladesh, Brazil, Chile, Egypt, India, Iran, Nigeria, Pakistan, Sudan, and Tunisia). The major response variable of in this study was WTP for a COVID-19 vaccine. The assessment of COVID-19 vaccine hesitancy was based on items adopted from the World Health Organization (WHO) Strategic Advisory Group of Experts (SAGE) vaccine hesitancy scale constructs. In this study, 1337 respondents included in the final analysis where the highest number of respondents was from India, while the lowest number was from Egypt. A total of 88.9% (1188/1337) respondents were willing to pay for the COVID-19 vaccination, and 11.1% (149/1337) were not. The average WTP for COVID-19 vaccination was 87.9 US dollars ($), (range: $5-$200). The multivariate model analysis showed that the country, monthly household income, having a history of respiratory disease, the agreement that routine vaccines recommended by health workers are beneficial and having received the flu vaccination within the previous 12 months were strongly associated with the WTP. Based on the country of origin, the highest mean WTP for COVID-19 vaccine was reported in Chile, while the lowest mean WTP for the vaccine was seen among the respondents from Sudan. The availability of free COVID-19 vaccination services appears as a top priority in the LMICs for successful control of the ongoing pandemic. This is particularly important for individuals of a lower socio-economic status. The effects of complacency regarding COVID-19 extends beyond vaccine hesitancy to involve less willingness to pay for COVID-19 vaccine and a lower value of WTP for the vaccine.

Association between depression and HbA1c levels in the elderly population with type 2 diabetes mellitus during COVID-19 pandemic Zahra, Zulfa; Ramadhani, Cut T.; Mamfaluti, Teuku; Pamungkas, Subhan R.; Firdausa, Sarah
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.51

Diabetes mellitus is a chronic progressive disease affecting the metabolic hormonal system and its prevalence in the elderly population is high. Depression is one of the psychiatric disorders in diabetic patients in particular during the coronavirus disease 2019 (COVID-19) pandemic. People with depression are more susceptible to leading an unhealthy lifestyle; therefore, depression and diabetes have a negative influence on life quality and aggravate complications and symptoms. The aim of this study was to determine the association between depression and hemoglobin A1c (HbA1c) levels in elderly with type 2 diabetes mellitus patients. A cross-sectional study was conducted where a total of 42 diabetic patients from the Puskesmas Belakang Padang, Batam of Indonesia was recruited. The HbA1c level, the main determinant of optimum glycemic control, was measured using ion-exchange high-performance liquid chromatography while the level of depression was assessed using Geriatric Depression Scale-15 (GDS-15). The association between depression and HbA1c levels was analyzed using the chi-squared test. Our study found that that 69% of the elderly with diabetes experienced a depression, classified as mild (40.5%), moderate (21.4%) and severe (7.1%). There were 61.9% of the subjects had poor HbA1c control. Our data suggested that the depression level was associated with HbA1c (p=0.002). In conclusion, there is a significant association between depression and HbA1c levels in the elderly with type 2 diabetes mellitus.

Elevated serum malondialdehyde (MDA), insulin, follicle-stimulating hormone (FSH), luteinizing hormone (LH), and thyroid-stimulating hormone (TSH), and reduced antioxidant vitamins in polycystic ovarian syndrome patients Mahmud, Abdullah A.; Anu, Umme H.; Foysal, Kazi A.; Hasan, Mahedi; Sazib, Sazaul M.; Ragib, Abdullah A.; Taher, Asad B.; Hossain, Md Shajjad; Islam, Mohammad S.; Hossain, Md Shohel; Emran, Talha B.
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.56

Elevated oxidative stress and hormonal imbalance have been suggested associate with polycystic ovarian syndromes (PCOS), a causal factor for unsuccessful pregnancy outcomes and other associated complications in women. The aim of this study was to compare the oxidative stress markers and different relevant hormone between pregnant women with and without PCOS. The levels of malondialdehyde (MDA), insulin, follicle-stimulating hormone (FSH), luteinizing hormone (LH), thyroid-stimulating hormone (TSH), vitamin A and vitamin C were measured in 80 pregnant women with PCOS and 80 healthy pregnancies. The mean MDA and insulin levels were significantly elevated in pregnant with PCOS compared to healthy controls (1.98±0.07 vs. 1.06±0.02 nmol/mL and 11.15±0.25 vs. 6.67±0.25 mIU/L, respectively with p<0.001 for both). Compared to healthy controls, the mean concentrations of FSH (3.65±0.16 vs. 1.75±0.10 IU/L) and LH (15.67±0.63 vs. 3.65±0.16 IU/L) were significantly higher in pregnant women with PCOS, p<0.001 for both comparisons. Similarly, the concentration of serum TSH was also higher in PCOS cases compared to controls (2.79±0.22 vs.2.34±0.06, p=0.048). In contrast, the levels of vitamin A and C were lower in PCOS cases compared to healthy pregnancy group, 0.45±0.01 vs. 1.05±0.01 and 0.26±0.01 vs. 0.53±0.02, respectively with p-values <0.001 for both comparations. In conclusion, in PCOS, serum MDA, insulin, FSH, LH and TSH levels elevated while the level of antioxidant vitamins lower compared to healthy pregnant women. Unusual hormonal imbalance and increase of oxidative stress markers during the pregnancy might important to establish the PCOS diagnosis.

A comparative assessment on gene expression classification methods of RNA-seq data generated using next-generation sequencing (NGS) Pramana, Setia; Hardiyanta, I Komang Y.; Hidayat, Farhan Y.; Mariyah, Siti
Narra J Vol. 2 No. 1 (2022): April 2022
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v2i1.60

Next-generation sequencing or massively parallel sequencing have revolutionized genomic research. RNA sequencing (RNA-Seq) can profile the gene-expression used for molecular diagnosis, disease classification and providing potential markers of diseases. For classification of gene expressions, several methods that have been proposed are based on microarray data which is a continuous scale or require a normal distribution assumption. As the RNA-Seq data do not meet those requirements, these methods cannot be applied directly. In this study, we compare several classifiers including Logistic Regression, Support Vector Machine, Classification and Regression Trees and Random Forest. A simulation study with different parameters such as over dispersion, differential expression rate is conducted and the results are compared with two mRNA experimental datasets. To measure predictive accuracy six performance indicators are used: Percentage Correctly Classified, Area Under Receiver Operating Characteristic (ROC) Curve, Kolmogorov Smirnov Statistics, Partial Gini Index, H-measure and Brier Score. The result shows that Random Forest outperforms the other classification algorithms.

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
harapan@unsyiah.ac.id

Phone
+62895600103060052

Journal Mail Official
harapan@unsyiah.ac.id

Editorial Address
School of Medicine Universitas Syiah Kuala Darussalam, Banda Aceh, 23111 Indonesia

Location
Kota banda aceh,

Aceh

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email harapan@unsyiah.ac.id

Phone +62895600103060052

Journal Mail Official harapan@unsyiah.ac.id

Editorial Address School of Medicine Universitas Syiah Kuala Darussalam, Banda Aceh, 23111 Indonesia

Location Kota banda aceh, Aceh INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
harapan@unsyiah.ac.id

Phone
+62895600103060052

Journal Mail Official
harapan@unsyiah.ac.id

Editorial Address
School of Medicine Universitas Syiah Kuala Darussalam, Banda Aceh, 23111 Indonesia

Location
Kota banda aceh,

Aceh

INDONESIA