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Susilo H, Pikir BS, Tjipta NJ, Alsagaff MY, Thaha M, Suryantoro SD, Wungu CD, Amin M, Rampengan DD, Ramadhan RN, Papageorgiou P, Gauci R, Tóthová R. Analysis of angiotensin II type 1 receptor and osteoprotegerin gene polymorphism on the risk of cardiovascular mortality risk and progressivity of chronic kidney disease. Minerva Med 2024; 115:447-457. [PMID: 39376100 DOI: 10.23736/s0026-4806.24.09435-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/09/2024]
Abstract
BACKGROUND Chronic kidney disease (CKD) is a significant global public health issue with increased risk of atherosclerotic cardiovascular disease (ASCVD) and cardiovascular mortality. Single nucleotide polymorphisms (SNPs) on angiotensin II type 1 receptor (AT1R) A1166C and osteoprotegerin (OPG) C950T gene have received significant attention as a genetic risk factor for cardiovascular disease and CKD. METHODS This was a cross-sectional study involving 75 adults with CKD recruited from Nephrology Outpatient Clinics of Universitas Airlangga Hospital, Surabaya, Indonesia. Demographic data was obtained from interviews and medical records. The "CKD Patch" application was used to asses ASCVD and cardiovascular mortality risk scores. Statistical analysis was performed by using SPSS version 26. RESULTS We detected four different AT1R gene polymorphisms (A1166C, A1160C, G1170T, and G1181C) and two OPG gene polymorphisms (T950C and G1181C) in Indonesian CKD patients. A1160C and G1181C polymorphisms were novel SNPs, newly discovered in this research. No significant association was found between AT1R SNPs and kidney prognostic markers or ASCVD risk/mortality risk scores. However, for OPG C950T we found that TT genotype had a significantly higher ACR than TC or CC genotype (P=0.032). As for OPG G1181C, we found that GG genotype had a higher serum creatinine and albumin to creatinine ratio compared to GC and CC genotypes (P=0.004 and 0.029, respectively). Genotype GC for OPG G1181C was also shown to be protective for having better kidney markers and lowest cardiovascular mortality risk compared to GG and CC genotypes (P=0.018 and 0.032, respectively). CONCLUSIONS Increased ASCVD risk and mortality risk score was not found on individuals with AT1R gene SNPs. However, for OPG gene polymorphism, C950T and G1181C were associated with kidney progression and cardiovascular mortality.
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Affiliation(s)
- Hendri Susilo
- Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Universitas Airlangga Hospital, Surabaya, Indonesia
| | - Budi S Pikir
- Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Universitas Airlangga Hospital, Surabaya, Indonesia
| | | | - Mochamad Y Alsagaff
- Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Airlangga, Universitas Airlangga Hospital, Surabaya, Indonesia
| | - Mochammad Thaha
- Department of Internal Medicine, Faculty of Medicine Universitas Airlangga, Universitas Airlangga Hospital, Surabaya, Indonesia
| | - Satriyo D Suryantoro
- Department of Internal Medicine, Faculty of Medicine Universitas Airlangga, Universitas Airlangga Hospital, Surabaya, Indonesia
| | - Citrawati Dk Wungu
- Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia -
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, Indonesia
| | - Mochamad Amin
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, Indonesia
| | | | - Roy N Ramadhan
- Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | | | - Ryan Gauci
- Faculty of Medicine, University of Malta, Msida, Malta
| | - Rebeka Tóthová
- Faculty of Medicine, University of Pavol Jozef Šafárik, Košice, Slovakia
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Artanti KD, Arista RD, Fazmi TIK. The influence of social environment and facility support on smoking in adolescent males in Indonesia. J Public Health Res 2024; 13:22799036241228091. [PMID: 38304307 PMCID: PMC10832422 DOI: 10.1177/22799036241228091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/08/2024] [Indexed: 02/03/2024] Open
Abstract
Background The high number of smokers in Indonesia, including adolescents, causes high morbidity due to smoking. Reducing the incidence of smoking-related disease in Indonesia needs to be done by reducing the number of smokers. This can be done by preventing smoking as early as possible, including during adolescence. The study aimed to assess the prevalence of adolescent male smokers and determine the social environment and facility support that influences smoking behavior in adolescent males aged 15-18 years in Surabaya, Indonesia. Design and method A cross-sectional study was performed from 1st October 2021 to 31st January 2022 on adolescent males aged 15 to 18 from senior high schools in Surabaya. 369 respondents completed a self-administered questionnaire about social environment and facility support that influence smoking behavior. The questionnaire result of the questionnaire was computed using bivariate analysis to examine the relationship between social environment, facility support, and smoking behavior. Result Of the 369 eligible participants, 95 (25.7%) were smokers, while the remaining 274 were not. The factors affecting smoking among adolescents were families influence (p = 0.000; PR = 4.805; CI = 2.923-7.900), friends influence (p = 0.000; RP = 3.987; CI = 2.4906.383), and advertisements influence (p = 0.000; RP = 3.137; CI = 2.275-4.325). Facility support was not found to be too influential (p = 0.399; RP = 0.767; CI = 0.472-1.245). Familia influence was the strongest factor in smoking among adolescent males aged 15 to 18. Conclusions Integrated programs and policies are needed to prevent and rehabilitate adolescents from smoking behavior. Improving their understanding of the health impacts of smoking is also needed.
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Affiliation(s)
- Kurnia Dwi Artanti
- Department of Epidemiology, Biostatistics, Population Studies and Health Promotion, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
- Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
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Alsagaff MY, Thaha M, Pikir BS, Susilo H, Wungu CDK, Suryantoro SD, Haryati MR, Ramadhani R, Agustin ED, Putra MRA, Maiguma M, Suzuki Y. The role of oxidative stress markers in Indonesian chronic kidney disease patients: a cross sectional study. F1000Res 2022. [DOI: 10.12688/f1000research.74985.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Background: Several aspects of chronic kidney disease (CKD) such as the incidence rate and mortality rate are concerning. Oxidative stress contributes to progression and mortality in patients with CKD; however, a specific correlation between several markers of oxidative stress and the estimated glomerular filtration rate (eGFR) and albumin-creatinine ratio (ACR) in the Indonesian population has not been sufficiently described yet. Methods: This study was an analytic observational study with a sample of 56 patients with CKD in Universitas Airlangga Hospital, Surabaya, Indonesia, from December 2019 – March 2020. The markers for oxidative stress investigated were urinary 8-hydroxy-2 deoxyguanosine (8-OHdG), serum symmetric dimethylarginine (SDMA) and asymmetric dimethylarginine (ADMA). The correlations between each variable of oxidative stress and CKD were analyzed using Pearson analysis. Results: There was a positive correlation between 8-OHdG and eGFR (p=0.00, r=0.51); however, there was a negative correlation between 8-OHdG and ACR (p=0.025, r=-0.30). SDMA and eGFR showed a negative correlation (p=0.00, r=-0.648), while SDMA and ACR showed a positive correlation (p=0.03, r=0.349). ADMA showed a negative correlation with eGFR (p=0.00, r=-0.476). There were significantly decreased 8-OHdG but increased ADMA and SDMA as the CKD stage progressed (p=0.001, p=0.00, and p = 0.00, respectively). Higher urine 8-OHdG was detected in patients without history of hemodialysis, whereas ADMA and SDMA showed higher value in patients with hemodialysis (p=0.00, p=0.00, and p=0.004, respectively), patients with history of diabetes mellitus (DM) had higher mean 8-OHdG (p 0.000) yet lower serum ADMA and SDMA (p=0.004 and p=0.003, respectively). Conclusions: In patients with CKD in Indonesia, the markers for oxidative stress 8-OHdG, SDMA, and ADMA are correlated with eGFR and ACR levels. There were also significant difference in 8-OHdG, SDMA, and ADMA levels among CKD stages, between dialysis vs non dialysis, and DM vs non DM patients.
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