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Original Article
Kiran V Padeyappannavar*,1, Kiran S Nikam2, Umesh K Kulkarni3, Deepali U Kulkarni4, Harsh P Mishrikoti5, Amarappa S Naglikar6,

1Dr. Kiran V Padeyappannavar, Associate Professor, Department of Anatomy, Belagavi Institute of Medical Sciences, Dr. B.R. Ambedkar Road, Belagavi, Karnataka, India.

2Department of Physiology, Belagavi Institute of Medical Sciences, Belagavi, Karnataka, India.

3Department of Anatomy, Belagavi Institute of Medical Sciences, Belagavi, Karnataka, India.

4Department of Anatomy, Belagavi Institute of Medical Sciences, Belagavi, Karnataka, India.

5Department of Anatomy, Belagavi Institute of Medical Sciences, Belagavi, Karnataka, India.

6Department of Anatomy, Belagavi Institute of Medical Sciences, Belagavi, Karnataka, India.

*Corresponding Author:

Dr. Kiran V Padeyappannavar, Associate Professor, Department of Anatomy, Belagavi Institute of Medical Sciences, Dr. B.R. Ambedkar Road, Belagavi, Karnataka, India., Email: drkiranvp@gmail.com
Received Date: 2023-06-09,
Accepted Date: 2023-08-30,
Published Date: 2023-10-31
Year: 2023, Volume: 13, Issue: 4, Page no. 181-185, DOI: 10.26463/rjms.13_4_6
Views: 802, Downloads: 25
Licensing Information:
CC BY NC 4.0 ICON
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0.
Abstract

Background and aim: Renin-Angiotensin system has been implicated in pathological changes of organ damage through modulation of gene expression, proliferation, and inflammatory response. The aim of this study was to identify the role of angiotensin-converting enzyme (ACE) gene alleles with respect to treatment and effect in chronic kidney disease (CKD) patients. The objectives of the study were to determine the role of ACE gene allele in haemodialysis treatment of CKD and the effect of ACE gene on 8-hydroxy-2' -deoxyguanosine (8-OHdG) level in CKD.

Methods: The patients available in the medicine department diagnosed with CKD for a period of 12-15 months were included in the study. The peripheral venous blood was used for DNA isolation as per the Quigen kit. The isolated DNA was amplified by polymerase chain reaction (PCR) using a primer for ACE gene as per the protocols defined previously. The PCR product was subjected to electrophoresis for detection of insertion and deletion. The venous blood was also subjected to 8-OHdG enzyme-linked immunosorbent assay (ELISA) assay for oxidative damage analysis.

Results: The mean ± SD values of ACE gene alleles subject to the number of haemodialysis were found to be 185.82 ± 131.69 in DD allele, 339.33 ± 261.59 in II allele and 183.33 ± 182.93 in DI allele. The mean ± SD values of ACE gene alleles subject to serum 8-OHdG level were found to be 39.02 ± 29.5 in DD allele, 15.74 ± 11.76 in II allele, and 25.39 ± 23.66 in DI allele respectively.

Conclusion: The number of hemodialysis and oxidative stress marker level differences were statistically insignificant (p=<0.05) in patients with different ACE gene alleles.

<p><strong>Background and aim:</strong> Renin-Angiotensin system has been implicated in pathological changes of organ damage through modulation of gene expression, proliferation, and inflammatory response. The aim of this study was to identify the role of angiotensin-converting enzyme (ACE) gene alleles with respect to treatment and effect in chronic kidney disease (CKD) patients. The objectives of the study were to determine the role of ACE gene allele in haemodialysis treatment of CKD and the effect of ACE gene on 8-hydroxy-2' -deoxyguanosine (8-OHdG) level in CKD.</p> <p><strong>Methods:</strong> The patients available in the medicine department diagnosed with CKD for a period of 12-15 months were included in the study. The peripheral venous blood was used for DNA isolation as per the Quigen kit. The isolated DNA was amplified by polymerase chain reaction (PCR) using a primer for ACE gene as per the protocols defined previously. The PCR product was subjected to electrophoresis for detection of insertion and deletion. The venous blood was also subjected to 8-OHdG enzyme-linked immunosorbent assay (ELISA) assay for oxidative damage analysis.</p> <p><strong>Results: </strong>The mean &plusmn; SD values of ACE gene alleles subject to the number of haemodialysis were found to be 185.82 &plusmn; 131.69 in DD allele, 339.33 &plusmn; 261.59 in II allele and 183.33 &plusmn; 182.93 in DI allele. The mean &plusmn; SD values of ACE gene alleles subject to serum 8-OHdG level were found to be 39.02 &plusmn; 29.5 in DD allele, 15.74 &plusmn; 11.76 in II allele, and 25.39 &plusmn; 23.66 in DI allele respectively.</p> <p><strong>Conclusion:</strong> The number of hemodialysis and oxidative stress marker level differences were statistically insignificant (p=&lt;0.05) in patients with different ACE gene alleles.</p>
Keywords
ACE gene, Chronic kidney disease, 8-hydroxy-2’-deoxyguanosine
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Introduction

Renin-Angiotensin system (RAS) has been implicated in pathological changes of organ damage through modulation of gene expression, proliferation, and inflammatory response. ACE is a key component of renin-angiotensin system (RAS). ACE I/D polymorphism varies as per individual, ethnicity, geography and is associated with common diseases like hypertension, coronary heart disease, and nephropathy. Uraemic state in case of CKD patients causes impairment of DNA damage repair resulting in chromosomal damage. Such damage can also be due to the formation of reactive oxygen species because of chronic inflammation. Reactive Oxygen and nitrogen species in CKD patients can lead to DNA strand breaks, point mutations, and aberrant DNA cross-linking causing genomic instability.1-2

Various types of inflammatory markers such as interleukin 6 and tumor necrosis factor alpha have been studied in CKD patients. Oxidative stress markers like 8-hydroxy-2’-deoxyguanosine (8-OHdG), advanced glycation end products, advanced oxidation protein products, and Malondialdehyde have been also studied in detail. Such clinical biomarkers help to stage the CKD patients. 8-hydroxy-2’-deoxyguanosine is a promutagenic oxidation product of guanine. Its level reflects nuclear damage due to small oxidative changes and can give rise to G to T transversion mutations in key genes known to be involved in the development of cancer.3-4

Materials and Methods

A 5 mL venous blood sample was taken from all patients before starting hemodialysis with all aseptic precautions in EDTA vacutainers.

Patients available in the medicine department, diagnosed with CKD for a period of 12-15 months were included in the study. Patients with co-existing other illnesses, cancer patients, patients on chemotherapy, or drugs likely to cause DNA damage were excluded.

The patients who gave informed consent were included in the study. The ethical clearance was taken from the BIMS Institutional Ethical Committee.

DNA Extraction and PCR

DNA was extracted from whole blood containing ethylenediaminetetraacetic acid (EDTA) by Qiagen kit method. The quality and quantity of the DNA was analyzed by biosphectrometer. To determine the ACE genotype, the genomic DNA fragment of the intron 16 of ACE gene was amplified by PCR. The conditions for amplification were Initial denaturation: 94ºC for 5 min, Denaturation: 94ºC for 30 s, Annealing: 58ºC for 45 s, Extension: 72ºC for 45 s, Cycling condition: 30 cycles, Final extension: 72ºC for 7 min and Hold at 4ºC. Primers for ACE Polymorphism were used in this study. The flanking primer sequences as reported by Rigat et al 5 were;

Forward Primer: CTG GAG ACC ACT CCC ATC CTT TCT (50 nmol)

Reverse Primer: GAT GTG GCC ATC ACA TTC GTC AGAT (50 nmol)

Once the amplicons were obtained, they were subjected to 2% agarose horizontal gel electrophoresis with ethidium bromide, and the bands were visualized under UV light. With the help of DNA ladder, Deletion (D allele) and Insertion (I allele), were identified at 191 and 478 bp fragments, respectively.

Oxidative stress assay

Serum 8-OHdG (8-Hydroxyguanosine) was measured using a commercially available competitive ELISA kit (Genetix Biotech Asia Pvt. Ltd, INDIA) by diluting the samples. The kit can measure 8-OHdG values ranging from 0.94 to 100 ng/mL, using a monoclonal-specific antibody. The protocol mentioned in the kit was followed.

Statistical analysis

The data obtained were represented in mean ± SD. The parametric data was analysed by unpaired ‘t’ test and non-parametric data was analysed by Mann Whitney ‘U’ test.

Results

Graph 1 shows the standardization calibration graph of the 8-OHdG enzyme assay kit. 

Table no 1 shows the mean±SD values of ACE gene alleles with respect to the number of haemodialysis and serum 8-OHdg levels studied.

Table no 2 shows the statistical comparison (p=value) of II ACE gene alleles with other alleles in respect of the numbers of haemodialysis and serum 8-OHdg levels studied.

The total number of cases studied was 47. On PCR amplification and gel electrophoresis, 17 cases showed the presence of ACE gene DD allele, 12 showed II allele,18 showed DI allele in ACE gene as shown in Table 1. In the case of the above subgroups, the mean ± SD was calculated for the number of haemodialysis, and concentration of level of 8-OHdG (ng/ml) by ELISA kit as shown in the table. Initially, the standardization calibration graph of 8-OHdG enzyme assay kit was done as shown in Graph 1. In the case of DD allele, the mean ± SD for the number of haemodialysis done was found to be 185.82±131.69 and the mean concentration level of 8-OHdG (ng/ml) by Elisa kit was found to be 39.02±29.5 ng/mL.

In the case of II allele, the mean ± SD for the number of haemodialysis done was found to be 339.33±261.59 and the mean concentration level of 8-OHdG (ng/ml) by ELISA kit was found to be 15.74±11.76 ng/mL. In the case of DI allele, the mean ± SD for the number of haemodialysis done was found to be 183.33±182.93 and the mean concentration level of 8-OHdG (ng/ml) by Elisa kit was found to be 25.39±23.06 ng/mL as shown in Table 1.

Table 2 shows the comparison of mean values for statistical significance between ACE gene II alleles in comparison to other alleles regarding the number of haemodialysis and serum 8-OHdg levels studied. From the table, it is clear that there was no statistically significant difference seen in the comparison between ACE gene II allele values with DD and D/I gene alleles with respect to the number of haemodialysis and 8-OHdG levels.

Discussion

ACE gene play’s role in hypertension and secondarily affects kidney. This has been studied by many researchers. The ACE I/D polymorphism may invite the utmost risk for growing CKD in hypertensive patients, especially Asian males. Chin Lin et al., studied the ACE genotype and its alleles (DDII and D/I) and found that CKD threat was elevated with the D allele as compared to I allele in Asian society and hypertension had affirmative moderate effects.6 The males were at higher risk where the D allele showed 3.75 fold greater risk for CKD than I allele in hypertensive cases. A similar study done by Taposh Sarkar et al., found that the development of CKD is linked to DD genotype of ACE gene within hypertensive patients.7

Apart from genetic factors, morbidity in patients with CKD can be due to non-genetic factors such as suppression of the immune system, viral associated factors, increased levels of oxidative stress, chronic inflammation, accumulation of uremic toxins and reduced antioxidant levels.8-9

In our study, we did not find any statistical difference between the oxidative stress marker levels in different ACE gene allele patients. Molnar GA et al., observation concluded that in carriers of allele D, the serum level of angiotensin-II was higher, which can be associated with increased oxidative stress and subsequent endothelial damage.10 Allele D patients have also been found with higher activity of gamma-GT and higher albuminuria. Based on this, D allele may contribute via increased glycation and oxidative stress to the target organ damage in type 2 diabetes. A study done by Deepashree G A et al., showed that the DD genotype of ACE gene had a significant association with the advancement of CKD in Diabetic nephropathy (OR=0.37; 95 % CI=0.14–0.94; p=0.033).11

Even the type of haemodialysis affects the level of oxidative stress markers. In case of haemodialysis patients oxidized LDL, homocysteine and plasma thiobarbituric acid reactive substances were found at a higher level than peritoneal hemodialysis patients however some studies have also reported contradictory findings. The associated diseases, mainly like diabetes, can influence the level of oxidative stress markers. 8-OHdg significantly correlated with other oxidative stress markers. The study of 8-OHdg is significant because it is a marker for intracellular oxidative stress.12,13-17

8-OHdg can be measured by different methods like GCMS, HPLC, FPG-comet assay, and ELISA. Results from these methods differ, GC-MS measures the highest while the FPG- comet assay the lowest. To improve 8-OHdg quantifications, the European Standard committee on Oxidative DNA damage was established. On the same lines, European standard committee on urinary lesion analysis was established for the study of Urinary 8-OHdg levels.18-20

Limitation of study

Large sample survey is needed for sequencing of ACE gene which is not done in the present study.

Conclusion

In this study, it was found that the hemodialysis requirement did not differ in CKD patients having different ACE gene alleles. The oxidative stress marker 8-OHdG also did not show significant changes in different ACE gene allele groups.

Conflict of Interest

Nil

Acknowledgement

Authors are thankful to Director, Advance Research Wing, RGUHS, Bengaluru, Karnataka, for providing funding, which was crucial to the success of this project, and thankful to Dr Kishore Bhat for unwavering support, encouragement, and access to facilities to complete the project. 

Supporting File
References
  1. Vaziri ND. Oxidative stress in uremia: nature, mechanisms, and potential consequences. Semin Nephrol 2004;24(5):469-73.
  2. Hussain SP, Harris CC. Inflammation and cancer: an ancient link with novel potentials. Int J Cancer 2007;121(11):2373-80.
  3. Tarng DC, Huang TP, Wei YH, Liu TY, Chen HW, Wen Chen T, et al. 8-hydroxy-2'-deoxyguanosine of leukocyte DNA as a marker of oxidative stress in chronic hemodialysis patients. Am J Kidney Dis 2000;36(5):934-44.
  4. Hsu GW, Ober M, Carell T, Beese LS. Error-prone replication of oxidatively damaged DNA by a high-fidelity DNA polymerase. Nature 2004 431(7005):217. 
  5. Rigat B, Hubert C, Corvol P, Soubrier F. PCR detection of the insertion/deletion polymorphism of the human angiotensin converting enzyme gene (DCP1) (dipeptidyl carboxypeptidase 1). Nucleic Acids Res 1992;20(6):1433. 
  6. Lin C, Yang HY, Wu CC, Lee HS, Lin YF, Lu KC, et al. Angiotensin-converting enzyme insertion/ deletion polymorphism contributes high risk for chronic kidney disease in Asian male with hypertension--a meta-regression analysis of 98 observational studies. PLoS One 2014;9(1):e87604. 
  7. Sarkar T, Singh NP, Kar P, Husain SA, Kapoor S, Pollipalli SK, et al. Does angiotensin-converting enzyme-1 (ACE-1) gene polymorphism lead to chronic kidney disease among hypertensive patients? Ren Fail 2016;38(5):765-9. 
  8. Stopper H, Boullay F, Heidland A, Vienken J, Bahner U. Comet-assay analysis identifies genomic damage in lymphocytes of uremic patients. Am J Kidney Dis 2001;38(2):296-301. 
  9. Kan E, Undeğer U, Bali M, Başaran N. Assessment of DNA strand breakage by the alkaline COMET assay in hemodialysis patients and the role of Vitamin E supplementation.Mutat Res 2002;520 (1-2):151-9. 
  10. Molnár GA, Wagner Z, Wagner L, Melegh B, Kószegi T, Degrell P, et al. Effect of ACE gene polymorphism on carbohydrate metabolism, on oxidative stress and on end-organ damage in type-2 diabetes mellitus. Orv Hetil 2004;145(16):855-9. 
  11. Deepashree G A, Ramprasad E, Jayakumar Ma, Solomon FD Paul, Gnanasambandan R. ACE ID gene polymorphism contributes to chronic kidney disease progression but not NOS3 gene among Type 2 diabetes with nephropathy patients. Endocr Metab Sci 2021;(4); 30: 1-5. 
  12. Mekki K, Taleb W, Bouzidi N, Kaddous A, Bouchenak M. Effect of hemodialysis and peritoneal hemodialysis on redox status in chronic renal failure patients: a comparative study. Lipids Health Dis 2010;9:93. 
  13. Capusa C, Stoian I, Rus E, Lixandru D, Barbulescu C, Mircescu G. Does hemodialysis modality influence the oxidative stress of uremic patients? Kidney Blood Press Res 2012;35(4):220-5. 
  14. Samouilidou EC, Karpouza AP, Kostopoulos V, Bakirtzi T, Pantelias K, Petras D, et al. Lipid abnormalities and oxidized LDL in chronic kidney disease patients on hemodialysis and peritoneal hemodialysis. Ren Fail 2012;34(2):160-4. 
  15. Eiselt J, Rajdl D, Racek J, Siroká R, Trefil L, Opatrná S. Asymmetric dimethylarginine in hemodialysis, hemodiafiltration, and peritoneal hemodialysis. Artif Organs 2010;34(5):420- 5. 
  16. Filiopoulos V, Hadjiyannakos D, Takouli L, Metaxaki P, Sideris V, Vlassopoulos D. Inflammation and oxidative stress in end-stage renal disease patients treated with hemodialysis or peritoneal hemodialysis. Int J Artif Organs 2009;32(12): 872-82. 
  17. Goi G, Massaccesi L, Baquero Herrera CJ, Musetti C, Ciurlino D, Cusi D, et al. Oxidative stress in elderly chronic renal failure patients: effects of renal replacement therapies on cell membrane fluidity. J Nephrol 2009;22(5):630-6. 
  18. Lunec J. ESCODD: European Standards Committee on Oxidative DNA Damage. Free Radic Res 1998;29(6):601-8. 
  19. Cooke MS, Olinski R, Loft S; European Standards Committee on Urinary (DNA) Lesion Analysis. Measurement and meaning of oxidatively modified DNA lesions in urine. Cancer Epidemiol Biomarkers Prev 2008;17(1):3-14. 
  20. Barregard L, Møller P, Henriksen T, Mistry V, Koppen G, Rossner P Jr, et al., Human and methodological sources of variability in the measurement of urinary 8-oxo-7,8-dihydro-2'- deoxyguanosine. Antioxid Redox Signal 2013;18(18):2377-91.
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