- 1Department of Pharmaceutical Chemistry, Government College University, Faisalabad, Pakistan
- 2Department of Pharmacy, The University of Faisalabad, Faisalabad, Pakistan
- 3Department of Pharmacy, University of Chenab, Gujrat, Pakistan
- 4Department of Pharmacy, The Women University, Multan, Pakistan
- 5Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- 6National Center for Natural Products Research, School of Pharmacy, University of Mississippi, Oxford, MS, United States
Background and purpose: Hypertension (HTN) is a multifactorial chronic disease that poses a significant global health burden and is associated with increased mortality rates. It often coexists with other conditions, such as cardiovascular, liver, and renal diseases, and has a strong association with diabetes mellitus. Insulin resistance and endothelial dysfunction commonly occur in individuals with both HTN and type 2 diabetes mellitus (T2DM). Genetic factors, along with environmental and pathological factors, play a role in the development of HTN. Recent studies have revealed the influence of single nucleotide polymorphisms (SNPs) in various genes on HTN. In this study, we aimed to investigate the genetic polymorphism of angiotensinogen (AGT) T174M (rs4762) and its association with HTN in diabetic patients.
Methods: A total of 300 participants were enrolled in this study and divided into three groups: control, hypertensive, and hypertensive diabetic. Blood samples were collected, and predetermined biochemical parameters were assessed. Genotyping of the AGT T174M (rs4762) gene was conducted using Tetra ARMS PCR with specific primers.
Results: The study findings revealed a significant association between AGT T174M (rs4762) genotype and HTN in diabetic patients within the Pakistani population. The C/T genotype of AGT T174M (rs4762) was found to be significant in both the hypertensive and hypertensive diabetic participants compared to the control group. This genotype was identified as a risk factor for developing HTN in both the hypertensive and hypertensive diabetic participants.
Conclusion: This study demonstrates a significant association between AGT T174M (rs4762) genetic polymorphism and HTN in diabetic patients. The C/T genotype of AGT T174M (rs4762) may serve as a potential marker for identifying individuals at risk of developing HTN, specifically in the hypertensive and hypertensive diabetic populations. Further research is warranted to elucidate the underlying mechanisms and validate these findings in larger cohorts.
Introduction
Hypertension (HTN) stands as one of the primary causes of deaths related to cardiovascular diseases (CVDs), greatly increasing the risk of conditions such as stroke, heart attack, coronary artery disease (CAD), renal diseases, diabetes mellitus (DM), and other associated disorders (1–5). Individuals with pre-existing DM have a 50% higher risk of developing HTN, while the chances of developing CVDs increase 4-5 times in patients with both HTN and DM (2, 6). Research has demonstrated that traditional risk factors, including diet, obesity, insulin resistance, high blood pressure, hyperlipidemia, inflammatory responses, tobacco use, and excessive alcohol consumption, can roughly predict 50% of a patient’s risk of experiencing a CVD episode (7). The strong association between HTN, DM, and CVDs is also supported by various genome-wide association studies (8). Several factors contribute to the development and pathogenesis of HTN, with environmental factors, fatty diets, high salt intake, lack of physical activity, and stress being among the most crucial ones (9, 10). Additionally, the prevalence of HTN varies across different ethnicities (9, 11). Thus, racial and gender differences play a significant role in the relationship between the development of insulin resistance and DM associated HTN (2, 9, 11, 12). Studies have also reported that diabetic females with impaired glucose tolerance are more susceptible to developing HTN compared to males with similar impairments in glucose homeostasis (13).
Insulin resistance plays a pivotal role in the association between DM and HTN. HTN is prevalent in diabetic patients, with approximately 50-80% of individuals with type 2 diabetes mellitus (T2DM) affected, indicating the crucial involvement of insulin resistance in HTN development (14–16). Elevated levels of insulin contribute to increased sodium reabsorption, renin excretion, and sympathetic activity, ultimately leading to high blood pressure (17). Literature further supports the notion that HTN exacerbates the risk and predisposition to DM and its associated diseases, resulting in heightened comorbidity and mortality compared to non-hypertensive patients (1, 2, 4, 16, 18, 19).
In addition to various physical and environmental factors, significant attention is now being directed towards assessing the genetic causes of this disease. Single Nucleotide Polymorphism (SNP) involves the substitution of a single nucleotide within the genetic material and account for over 90% of genetic polymorphisms (20). Such alterations can lead to changes in enzyme activity due to amino acid sequence modifications, affecting transcription, intrinsic termination, and factor-dependent termination. However, in some cases, SNPs or mutations may not impact enzyme activities, underscoring the importance of identifying those mutations that specifically affect gene function (21).
The renin-angiotensin-aldosterone system (RAAS) has recently garnered significant attention due to its potential to induce insulin resistance, ultimately leading to DM. It plays a major role in the pathogenesis of HTN, insulin resistance, and subsequently, DM. Among the components of RAAS, angiotensin (AGT) holds particular significance (22–25). AGT plays a crucial role in the synthesis of AGT I and II, with an essential impact on blood pressure regulation through the regulation of sodium excretion (26). Renin, released from the kidney, acts on AGT released by the liver, leading to the formation of AGT I. Angiotensin Converting Enzyme (ACE), released from the lungs, converts Angiotensin I to Angiotensin II (an octapeptide). Angiotensin II plays a vital role in regulating hypertension through vasoconstriction and sodium-water retention (27). Various polymorphic forms of AGT have been identified, demonstrating evidence of association with hypertension and certain CVDs. A recent study highlighted the involvement of AGT (rs699) in insulin sensitivity, while AGT rs4762 and rs699 have shown significant associations with hypertension in several ethnic populations (28, 29). In this study, we aimed to analyze the association between genetic polymorphism of AGT T174M (rs4762) and HTN in the Pakistani population. Additionally, we investigated the prevalence of genetic polymorphism of AGT T174M (rs4762) in HTN with the presence of DM as a risk factor, comparing it with healthy individuals.
Materials and methods
Ethical considerations
This study received approval from the Ethical Review Committee (Ref. No. GCUF/ERC/39) of Government College University Faisalabad (GCUF). Prior to the initiation of blood sample collection, informed written consent was obtained from all the participants or their respective guardians.
Study design
This present study aimed to assess the biochemical association between the genetic polymorphism of AGT T174M (rs4762) in hypertensive and hypertensive-diabetic patients. Blood sampling was conducted at Allied Hospital, Faisalabad, and Punjab Employees Social Security Institute, Faisalabad, Pakistan in accordance with the approved guidelines provided by the ethical committee of GCUF, Pakistan. A total of 300 study subjects were selected for blood sampling and divided into three groups. Group I consisted of control participants (n=100), Group II included HTN patients (n=100), and Group III comprised hypertensive-diabetic (HTN-DM) patients (n=100). Informed written consent was obtained from each patient, and a comprehensive questionnaire was completed to gather necessary information about the study participants. Blood samples were collected from the target population and subjected to biochemical analysis. Genotyping, using Tetra-ARMS PCR, was performed to analyze the genetic polymorphism among HTN and HTN-DM patients.
Inclusion and exclusion criteria
Participants between the ages of 30 and 70 years were selected for this study. Individuals below the age of 30 or above the age of 70 were excluded. Participants with a history of prolonged medication use for comorbidities, any other medical conditions, alcohol consumption, or any relevant medical history were also excluded. Standard blood pressure measurements were employed for diagnosing HTN and HTN-DM patients. HTN-DM patients included in the study had an HbA1c value higher than 5.7%. Similarly, HTN patients were receiving antihypertensive treatment, including ACE inhibitors such as lisinopril and captopril, angiotensin receptor blockers (ARBs) like candesartan and losartan, β-blockers such as metoprolol and atenolol, calcium channel blockers like verapamil and amlodipine, as well as diuretics such as furosemide and hydrochlorothiazide and statins such as atorvastatin. HTN-DM patients were also receiving antidiabetic medications, including insulin, glipizide, and metformin, in addition to antihypertensive treatment.
Measurement of blood pressure
The blood pressure of the participants was measured randomly using a digital BP apparatus. Hypertensive patients exhibited systolic blood pressure equal to or greater than 140 mmHg and diastolic blood pressure equal to or greater than 90 mmHg.
Collection of blood samples
Approximately 5-6 ml of blood was collected from each participant and evenly distributed into two separate tubes. 2.5-3 ml of blood was placed in EDTA tubes, while another 2.5-3 ml was collected in a vacutainer containing a gel clot activator. An icebox or ice packs were prepared to maintain the blood sample’s temperature during transportation from the hospital to the laboratory. The collected blood sample was subjected to centrifugation to separate the blood serum, which was subsequently stored at -20°C for further biochemical analysis.
Analysis of biochemical parameters
The serum, obtained from the blood samples, underwent examination to assess multiple biochemical parameters, including the glycemic profile [Random Blood Sugar (RBS), Hemoglobin A1c (HbA1c)], liver biomarkers [Alanine transaminase (ALT), Alkaline phosphatase (ALP)], renal biomarkers [urea, creatinine, and uric acid], lipid profile [cholesterol, triglycerides], and albumin levels. This analysis was conducted using specific kits and a biochemical analyzer (Microlab-300) for accurate measurement.
Genotype Analysis
Extraction of DNA
The collected blood sample underwent manual processing to extract genomic DNA. Blood was collected in Eppendorf tubes and mixed with RBC lysis buffer. The mixture was then shaken and centrifuged at 7000 rpm for 2 minutes. The resulting pellets were disrupted using a vortex mixer and rinsed with RBC lysis buffer again. Saturated NaCl (5M), chloroform, and nucleic acid lysis buffer were added to the Eppendorf tube, mixed, and centrifuged at 7000 rpm for 2 minutes. After transferring the supernatant to a fresh Eppendorf tube, cold ethanol was added, and the mixture was centrifuged at 12000 rpm for 1 minute. The supernatant was discarded, and the remaining DNA pellet was vortexed after the addition of TE buffer. The Eppendorf tube containing the DNA was stored at -20°C for genotyping purposes.
Analysis of DNA
The NanoDrop method and gel electrophoresis were employed for the quantitative and qualitative analysis of DNA, respectively. The purity of the extracted DNA was assessed by loading the samples onto a 2% agarose gel.
Genotyping of AGT gene (rs 4762)
Tetra-ARMS PCR was used to genotype the SNP of the AGT T174M (rs4762) gene. The amplification of the AGT T174M (rs 4762) gene was performed using two forward primers and two reverse primers, as outlined in Table 1. The PCR process was performed using the “Thermocycler Master Cycler Gradient.” The initial denaturation step was carried out at 94°C for 10 minutes. Subsequently, denaturation was performed at 94°C for 1 minute, followed by annealing at 65°C for 1 minute, and extension at 72°C for 1 minute. This cycle was repeated for a total of 30 times starting from step 2. The final extension step was set at 72°C for approximately 5 minutes, as shown in Table 2. Following the completion of the PCR reaction, 20 μL of the resulting product was loaded onto a 2% agarose gel, stained with ethidium bromide, submerged in TAE buffer, and subjected to electrophoresis in an electric field. The gel was subsequently visualized under UV light using a gel documentation system.
Statistical analysis
Statistical analysis was performed using SPSS, GraphPad Prism 5, and Minitab. Significant differences and the genotype frequency of AGT T174M (rs4762) among the different study groups were assessed using one-way ANOVA, Tukey’s multiple comparison test, and Fisher’s exact test.
Results
Analysis of demographic and clinical parameters
In the hypertensive study group, females accounted for 37% while males accounted for 26%. In the hypertensive-diabetic study group, females accounted for 28% while males accounted for 45%. The mean values of systolic blood pressure were 125.2 ± 7.7 mmHg, 169.5 ± 30.87 mmHg, and 167.8 ± 17.9 mmHg for the control, hypertensive, and hypertensive-diabetic study groups, respectively. The mean values of diastolic blood pressure were 82.7 ± 3.14 mmHg, 96.33 ± 9.45 mmHg, and 97.38 ± 7.45 mmHg for the control, hypertensive, and hypertensive-diabetic study groups, respectively (Table 3).
Table 3 Demographic and Clinical parameters among control, hypertensive and hypertensive-diabetic study groups.
Biochemical analysis
The glycemic profile, represented by RBS and HbA1c, was significantly higher in the hypertensive and hypertensive-diabetic groups compared to the control group. The liver biomarkers, including ALT and ALP, were significantly elevated in the hypertensive and hypertensive-diabetic study groups compared to the controls. The renal biomarkers, including urea and uric acid, were also significantly higher in the hypertensive and hypertensive-diabetic study groups compared to the controls, while creatinine levels were significantly lower in the hypertensive and hypertensive-diabetic study groups compared to the control group. The lipid profile, including cholesterol levels, was significantly elevated in the hypertensive and hypertensive-diabetic study groups compared to the controls, whereas triglyceride levels did not show a significant difference between the hypertensive and hypertensive-diabetic groups and the controls. Furthermore, albumin levels were significantly lower in the hypertensive and hypertensive-diabetic study groups compared to the controls (Table 4).
Genotyping
AGT T174M (rs 4762) genotyping was performed on all subjects in the control, hypertensive, and hypertensive-diabetic study groups. The distribution of allelic and genotype frequencies was analyzed using SNP Stat software (http://bioinfo.iconcologia.net/SNPstats), a tool commonly employed for evaluating genetic models.
Comparative analysis of allelic frequency
The allelic frequency distribution of the C and T alleles among the control, hypertensive, and hypertensive-diabetic groups clearly indicates that the C allele was more prevalent in the hypertensive and hypertensive-diabetic groups compared to the controls (Table 5).
Table 5 Allele and genotype frequencies of AGT gene rs4762 between control, hypertensive and hypertensive-diabetic study groups.
Comparative analysis of genotype frequency
Fisher’s exact test was utilized for the analysis of Hardy-Weinberg equilibrium to determine the genotype frequency. The genotype frequency of AGT T174M (rs4762) in the control, hypertensive, and hypertensive-diabetic study groups revealed a higher occurrence of the C/T genotype among the hypertensive and hypertensive-diabetic groups compared to the controls (Table 5).
Comparative analysis of single nucleotide polymorphism
The analysis of SNP among the control, hypertensive, and hypertensive-diabetic groups revealed significant differences for the heterozygous genotype C/T under the codominant [OR=4.30, 95% CI=2.24-8.25, P<0.05], dominant [OR=4.70, 95% CI=2.54-8.71, P<0.05], and overdominant [OR=3.49, 95% CI=1.85-6.59, P<0.05] genetic models between the control and hypertensive groups (Table 6). Additionally, a significant difference was observed for the heterozygous genotype C/T under the codominant [OR=6.48, 95% CI=3.40-12.36, P<0.05], dominant [OR=5.78, 95% CI=3.11-10.78, P<0.05], and overdominant [OR=6.39, 95% CI=3.37-12.13, P<0.05] genetic models between the control and hypertensive-diabetic groups (Table 7). Moreover, a significant difference was found for the heterozygous genotype C/T under the codominant [OR=0.19, 95% CI=0.04-0.90, P<0.05], recessive [OR=0.15, 95% CI=0.03-0.69, P<0.05], and overdominant [OR=1.83, 95% CI=1.05-3.21, P<0.05] genetic models between the hypertensive and hypertensive-diabetic study groups (Table 8).
Table 8 Association analysis of AGT gene rs4762 in hypertensive and hypertensive-diabetic study groups.
Clinical and biochemical association of AGT T174M (rs 4762)
Systolic blood pressure was higher in the hypertensive and diabetic hypertensive groups compared to the control group. Furthermore, the mean of the heterozygous genotype C/T was higher in the hypertensive and diabetic hypertensive groups than in the homozygous genotype’s C/C and T/T. Additionally, diastolic blood pressure was higher in the hypertensive and diabetic hypertensive study groups compared to the control group, and the mean of the heterozygous genotype C/T was higher than that of the homozygous genotype’s C/C and T/T. The overall p-value was also significant, indicating an association between the C/T genotype and the development of hypertension.
The levels of RBS and HbA1c were higher in the hypertensive and diabetic hypertensive groups compared to the control group, and the mean of the heterozygous genotype C/T was higher in the hypertensive and diabetic hypertensive groups compared to the control group. The levels of liver biomarkers, ALT, and ALP were higher in the hypertensive and diabetic hypertensive groups compared to the control group, and the mean of the heterozygous genotype C/T was higher in the hypertensive and diabetic hypertensive groups. The renal biomarkers, including urea, and uric acid, were higher in the hypertensive and diabetic hypertensive groups compared to the control group, and the mean of the heterozygous genotype C/T was higher in the hypertensive and diabetic hypertensive group. However, creatinine was lower in the hypertensive and diabetic hypertensive groups compared to the control group, and the mean of the heterozygous genotype C/T was lower in the hypertensive and diabetic hypertensive study groups.
The lipid profile, specifically cholesterol, was higher in the hypertensive and diabetic hypertensive groups compared to the control group, and the mean of the heterozygous genotype C/T was higher in the hypertensive and diabetic hypertensive study groups. On the other hand, triglycerides were lower in the hypertensive and diabetic hypertensive study groups compared to the controls, and the mean of the heterozygous genotype C/T was lower in the hypertensive and diabetic hypertensive study groups (Table 9).
Table 9 The Clinical and Biochemical data for control, hypertensive, and hypertensive-diabetic study groups according to Genotype (C/C, C/T, T/T).
Discussion
AGT is an enzyme within the RAAS, playing a crucial role in blood pressure regulation (30). The RAAS system not only has a significant impact on blood pressure regulation but also influences volume homeostasis and renal hemodynamics (31). Disruptions in renal function resulting from AGT concentration changes can lead to hypertension (32). Previous studies have explored the association between gene polymorphisms and various diseases, revealing the involvement of gene polymorphisms in disease progression (33, 34). In this study, we observed a significant decrease in creatinine levels in the hypertensive and hypertensive-diabetic study group compared to the control group. Similar findings have been reported in previous studies, where low creatinine levels were observed in hypertensive and diabetic patients (35, 36). However, higher serum creatinine levels in hypertensive patients may serve as a predictor for future cardiovascular diseases (37). Serum ALP levels were significantly elevated in the hypertensive and hypertensive-diabetic study groups compared to the control group. These results align with another study’s findings (38, 39). Increased serum ALP levels indicate liver damage associated with hypertension and can also serve as an indicator for diabetes and coronary heart disease (40, 41). Serum ALT levels were significantly higher in the hypertensive and hypertensive-diabetic group compared to the control group. These findings are consistent with previous studies (42, 43). This not only confirms that ALT is a potent marker for hypertension but also suggests an increased risk of cardiovascular diseases (44).
Serum uric acid levels are found to be elevated in the hypertensive and hypertensive diabetic groups compared to the control group. Similar findings have been reported in a previously conducted study, where serum uric acid levels were higher in hypertensive and diabetic patients (45, 46). The relationship between serum uric acid and hypertension is still controversial, but a significant body of evidence suggests its crucial role in exacerbating hypertension. Additionally, certain studies suggest its involvement in activating the Renin Angiotensin System (46, 47). This increase in serum uric acid could be attributed to abnormal lipid and glucose metabolism, which is associated with higher levels of serum uric acid (48). Blood urea levels are higher in the hypertensive and hypertensive-diabetic groups compared to the control group. Increased blood glucose levels can lead to nephropathy, resulting in decreased renal function and overall reduced efficiency of the kidneys in excreting excess urea from the body (49).
The serum albumin level is found to be lower in the hypertensive and hypertensive-diabetic group compared to the control group. Similar results have been obtained in previous studies. However, the association between HTN and serum albumin level has been poorly studied (50). Nonetheless, in individuals with diabetes, the serum albumin level is inversely proportional to the diabetic condition, as it tends to decrease in diabetes mellitus (51, 52). The protective effect of serum albumin is diminished in hypertensive and diabetic patients, further contributing to the development of diseases such as ischemic stroke, heart failure, and coronary artery disease (53). The serum cholesterol level is found to be higher in the hypertensive and hypertensive-diabetic study group compared to the control group. High cholesterol levels are associated with increased blood pressure (54). Moreover, elevated serum cholesterol can be a significant risk factor for coronary artery disease and stroke among hypertensive individuals (55, 56).
The genetic polymorphism of AGT T174M (rs4762) gene was investigated in this research. AGT rs4762 polymorphism results in the substitution of threonine with methionine at the 174 position in the amino acid sequence (57). This polymorphism in AGT can increase the activity of the RAAS, leading to vasoconstriction. AGT II triggers the release of more aldosterone, ultimately causing an increase in plasma volume and hypertension (58, 59). Recent studies have shown an association between AGT T174M (rs4762) polymorphism and hypertension (58). Several studies have supported this association. A case-control study in China involving 538 individuals demonstrated a positive association between hypertension and AGT T174M (rs4762) genetic polymorphism (60). In this study, we observed a similar association and evaluated the involvement of AGT T174M (rs4762) polymorphism in HTN in the presence of diabetes mellitus, a known risk factor. We assessed liver and renal biomarkers in our study, revealing significant differences among the three study groups. Our analysis demonstrated that the C/T genotype was significantly more prevalent in the hypertensive and hypertensive-diabetic groups compared to the control group. Specifically, we observed that among the study participants, the number of individuals with the C/T genotype was 19% in the control group, 55% in the hypertensive group, and 60% in the hypertensive-diabetic group. These findings indicate a significant difference in the prevalence of the C/T genotype among the control, hypertensive, and hypertensive-diabetic groups.
This study was conducted over a limited duration, which may have impacted the ability to capture long-term effects or changes over time. The sample size used in the study was relatively small, which could limit the generalizability of the findings to a larger population. This study was conducted within a specific population, which may restrict the applicability of the results to other demographic groups or regions. Due to resource constraints, certain aspects of the study, such as comprehensive laboratory testing or extensive data collection, were not feasible. These limitations should be taken into consideration when interpreting the findings and generalizing them to broader populations. Future studies with larger sample sizes, longer durations, and diverse populations are recommended to overcome these limitations and provide a more comprehensive understanding of the topic.
Recommendations and future prospects
Allele-specific genotyping investigations to detect DNA alterations at the single nucleotide level are relatively rare in underdeveloped countries. In this study, we identified a single allelic-level genetic mutation in the AGT gene among the hypertensive population. Such findings highlight the importance of conducting more genetic studies in diverse populations to uncover potential genetic variations associated with HTN. Furthermore, pharmacogenomics studies, like ours, play a crucial role in identifying new drug targets and mitigating adverse drug effects. This approach has the potential to significantly impact patient outcomes by reducing morbidity and mortality rates, improving treatment efficacy, and lowering healthcare costs. Our research contributes to the growing field of precision medicine, which has garnered global interest due to its ability to minimize side effects, enhance treatment effectiveness, and decrease the likelihood of disease recurrence. The findings from this study emphasize the significance of incorporating genetic information into clinical practice, enabling personalized treatment strategies for patients based on their unique genetic profiles. Continued advancements in precision medicine will allow for more targeted and tailored interventions, ultimately leading to improved healthcare outcomes and better management of chronic diseases.
Conclusion
In conclusion, this study examined the association between AGT T174M (rs4762) genetic polymorphism and hypertension, particularly in the presence of DM. The results demonstrated a higher prevalence of the C/T genotype in both the hypertensive and hypertensive-diabetic study groups compared to the control group. These findings suggest a potential role of AGT T174M (rs4762) polymorphism in the development of hypertension, especially in individuals with coexisting diabetes. The biochemical analysis revealed significant differences in various clinical parameters between the control, hypertensive, and hypertensive-diabetic groups. Elevated blood pressure, altered glycemic profile, liver and renal biomarkers, and dyslipidemia were observed in the hypertensive and hypertensive-diabetic study groups compared to the controls. These findings support previous research indicating the association of these parameters with hypertension and highlight their potential role in the pathogenesis of the disease. The study also emphasized the importance of conducting genetic studies in diverse populations to identify potential genetic variations associated with hypertension. Allele-specific genotyping investigations provide valuable insights into DNA alterations at the single nucleotide level, which can contribute to the development of personalized treatment strategies and the advancement of precision medicine. However, it is important to acknowledge the limitations of this study, including the small sample size, limited duration, and specific population studied. Future research with larger sample sizes, longer durations, and diverse populations is recommended to validate and expand upon these findings. Overall, the findings from this study contribute to our understanding of the genetic and biochemical factors associated with hypertension, providing valuable insights for further research, personalized treatment approaches, and the advancement of precision medicine in the management of hypertension and related comorbidities.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.
Ethics statement
The studies involving humans were approved by Ethical Review Committee (Ref. No. GCUF/ERC/39) of Government College University Faisalabad (GCUF). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
MSHA contributed to project administration, conceptualization, study design and manuscript writing. MS and SS contributed to formal analysis, sample detection, data processing and literature search. KR contributed to conceptualization, study design, data curation, revising it critically for intellectual content. AN and TM contributed to manuscript review, data processing and interpretation of the data. All the authors agreed with the final approval of the version to be published and accountable for all aspects of the work.
Funding
This work was funded by the Researchers Supporting Project Number (RSP2023R124), King Saud University, Riyadh, Saudi Arabia.
Acknowledgments
This research was supported by the Primary and Secondary Healthcare Department, under the Prevention and Control of Non-communicable Diseases Program, Government of Punjab. The authors acknowledge and extend their appreciation to the Researchers Supporting Project Number (RSP2023R124), King Saud University, Riyadh, Saudi Arabia.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Bretzel RG. Comorbidity of diabetes mellitus and hypertension in the clinical setting: A review of prevalence, pathophysiology, and treatment perspectives. Clin Ther (2007) 29:S35–43. doi: 10.1016/j.clinthera.2007.07.010
2. Lastra G, Syed S, Kurukulasuriya LR, Manrique C, Sowers JR. Type 2 diabetes mellitus and hypertension: an update. Endocrinol Metab Clin North Am (2014) 43(1):103–22. doi: 10.1016/j.ecl.2013.09.005
3. Jia G, Sowers JR. Hypertension in diabetes: an update of basic mechanisms and clinical disease. Hypertension (2021) 78(5):1197–205. doi: 10.1161/HYPERTENSIONAHA.121.17981
4. Yen F-S, Wei JC, Chiu LT, Hsu CC, Hwu CM. Diabetes, hypertension, and cardiovascular disease development. J Trans Med (2022) 20(1):9. doi: 10.1186/s12967-021-03217-2
5. Thomas GN, Tomlinson B, Chan JC, Sanderson JE, Cockram CS, Critchley JA. Renin-angiotensin system gene polymorphisms, blood pressure, dyslipidemia, and diabetes in Hong Kong Chinese: a significant association of the ACE insertion/deletion polymorphism with type 2 diabetes. Diabetes Care (2001) 24(2):356–61. doi: 10.2337/diacare.24.2.356
6. Sousa AC, Jardim TV, Costa TO, Magalhães FG, Montelo MPM, Souza WKB, et al. Hypertensive diabetic patients: incidence of cardiovascular and renal outcomes in a historical cohort over 11 years. Diabetol Metab syndrome (2017) 9:1–9. doi: 10.1186/s13098-017-0296-z
7. Mallhi TH, Shahid M, Rehman K, Khan YH, Alanazi AS, Alotaibi NH, et al. Biochemical association of MTHFR C677T polymorphism with myocardial infarction in the presence of diabetes mellitus as a risk factor. Metabolites (2023) 13(2):251. doi: 10.3390/metabo13020251
8. Ross S, Gerstein H, Paré G. The genetic link between diabetes and atherosclerosis. Can J Cardiol (2018) 34(5):565–74. doi: 10.1016/j.cjca.2018.01.016
9. Hertz RP, Unger AN, Cornell JA, Saunders E. Racial disparities in hypertension prevalence, awareness, and management. Arch Intern Med (2005) 165(18):2098–104. doi: 10.1001/archinte.165.18.2098
10. Thorpe RJ Jr., Brandon DT, LaVeist TA. Social context as an explanation for race disparities in hypertension: findings from the Exploring Health Disparities in Integrated Communities (EHDIC) Study. Soc Sci Med (2008) 67(10):1604–11. doi: 10.1016/j.socscimed.2008.07.002
11. Carson AP, Howard G, Burke GL, Shea S, Levitan EB, Muntner P. Ethnic differences in hypertension incidence among middle-aged and older adults: the multi-ethnic study of atherosclerosis. Hypertension (2011) 57(6):1101–7. doi: 10.1161/HYPERTENSIONAHA.110.168005
12. Sandberg K, Ji H. Sex differences in primary hypertension. Biol Sex Differ (2012) 3(1):7. doi: 10.1186/2042-6410-3-7
13. Mauvais-Jarvis F. Gender differences in glucose homeostasis and diabetes. Physiol Behav (2018) 187:20–3. doi: 10.1016/j.physbeh.2017.08.016
14. Cheung BMY, Li C. Diabetes and hypertension: is there a common metabolic pathway? Curr Atheroscl Rep (2012) 14(2):160–6. doi: 10.1007/s11883-012-0227-2
15. Wei GS, Coady SA, Goff DC Jr, Brancati FL, Levy D, Selvin E, et al. Blood pressure and the risk of developing diabetes in african americans and whites: ARIC, CARDIA, and the framingham heart study. Diabetes Care (2011) 34(4):873–9. doi: 10.2337/dc10-1786
16. Petrie JR, Guzik TJ, Touyz RM. Diabetes, hypertension, and cardiovascular disease: clinical insights and vascular mechanisms. Can J Cardiol (2018) 34(5):575–84. doi: 10.1016/j.cjca.2017.12.005
17. Sasaki N, Ozono R, Higashi Y, Maeda R, Kihara Y. Association of insulin resistance, plasma glucose level, and serum insulin level with hypertension in a population with different stages of impaired glucose metabolism. J Am Heart Assoc (2020) 9(7):e015546. doi: 10.1161/JAHA.119.015546
18. Grossman E, Messerli FH. Hypertension and diabetes. Cardiovasc Diabetol: Clin Metab Inflamm Facets (2008) 45:82–106. doi: 10.1159/000115189
19. Ferrannini E, Cushman WC. Diabetes and hypertension: the bad companions. Lancet (2012) 380(9841):601–10. doi: 10.1016/S0140-6736(12)60987-8
20. Sameer AS, Banday MZ, Nissar S. Mutations and polymorphisms: what is the difference? In: Genetic Polymorphism and cancer susceptibility. Singapore: Springer (2021). p. 1–21. doi: 10.1007/978-981-33-6699-2_1
21. Karahan Z, Uğurlu M, Uçaman B, Uluğ AV, Kaya İ, Çevik K, et al. Relation between apolipoprotein E gene polymorphism and severity of coronary artery disease in acute myocardial infarction. Cardiol Res Pract (2015) 2015:363458. doi: 10.1155/2015/363458
22. Takei Y, Joss JM, Kloas W, Rankin JC. Identification of angiotensin I in several vertebrate species: its structural and functional evolution. Gen Comp Endocrinol (2004) 135(3):286–92. doi: 10.1016/j.ygcen.2003.10.011
23. Lu H, Cassis LA, Kooi CW, Daugherty A. Structure and functions of angiotensinogen. Hypertension Res (2016) 39(7):492–500. doi: 10.1038/hr.2016.17
24. Li Y-Y, Wang H, Wang H, Zhang YY. Myocardial infarction and AGT p. Thr174Met polymorphism: a meta-analysis of 7657 subjects. Cardiovasc Therapeutics 2021 (2021) 2021:1–9. doi: 10.1155/2021/6667934
25. Freitas AI, Mendonça I, Brión M, Sequeira MM, Reis RP, Carracedo A, et al. RAS gene polymorphisms, classical risk factors and the advent of coronary artery disease in the Portuguese population. BMC Cardiovasc Disord (2008) 8:15. doi: 10.1186/1471-2261-8-15
26. Brand E, Ringel J, Sharma AM. Implications of the angiotensinogen gene in blood pressure regulation. Herz (2000) 25:15–25. doi: 10.1007/BF03044120
27. Shahid M, Rehman K, Akash MSH, Suhail S, Kamal S, Imran M, et al. Genetic polymorphism in angiotensinogen and its association with cardiometabolic diseases. Metabolites (2022) 12(12):1291. doi: 10.3390/metabo12121291
28. Lee SR, Moon JY, Lee SH, Ihm CG, Lee TW, Kim SK, et al. Angiotensinogen polymorphisms and post-transplantation diabetes mellitus in Korean renal transplant subjects. Kidney Blood Press Res (2013) 37(2-3):95–102. doi: 10.1159/000343404
29. Shahid M, Rehman K, Akash MSH, Suhail S, Rasheed S, Imran M, et al. Biochemical association between the prevalence of genetic polymorphism and myocardial infarction. BIOCELL (2023) 47(3):473–84. doi: 10.32604/biocell.2023.025930
30. Brewster UC, Perazella MA. The renin-angiotensin-aldosterone system and the kidney: effects on kidney disease. Am J Med (2004) 116(4):263–72. doi: 10.1016/j.amjmed.2003.09.034
31. Weir MR, Dzau VJ. The renin-angiotensin-aldosterone system: a specific target for hypertension management. Am J Hypertens (1999) 12(12 Pt 3):205s–13s. doi: 10.1016/S0895-7061(99)00103-X
32. Buckalew VM Jr., Berg RL, Wang SR, Porush JG, Rauch S, Schulman G. Prevalence of hypertension in 1,795 subjects with chronic renal disease: the modification of diet in renal disease study baseline cohort. Modification of Diet in Renal Disease Study Group. Am J Kidney Dis (1996) 28(6):811–21. doi: 10.1016/S0272-6386(96)90380-7
33. El-Nabi SH, Sayed S, Abd-Elhafez MA, Elfiky M, Abdel Moneim AE, El-Garawani I. Arg753Gln polymorphisms in the toll-like receptor 2 gene are associated with cytomegalovirus infection in Egyptian bone marrow recipients. Endocr Metab Immune Disord Drug Targets (2020) 20(4):619–24. doi: 10.2174/1871530319666191018124710
34. El-Garawani I, Hassab El-Nabi S, Gadallah M, Abdelsameea E. Association between IFN-λ 3 gene polymorphisms and outcome of treatment with direct acting antivirals in chronic HCV-infected Egyptian patients. Immunol Invest (2021) 50(1):12–22. doi: 10.1080/08820139.2020.1722158
35. Kadiri S, Ajayi SO. Variability in the relationship between serum creatinine and creatinine clearance in hypertensives and normotensives with normal renal function. Afr J Med Med Sci (2000) 29(2):93–6.
36. Amartey NA, Nsiah K, Mensah FO. Plasma levels of uric acid, urea and creatinine in diabetics who visit the clinical analysis laboratory (CAn-Lab) at kwame Nkrumah University of Science and Technology, Kumasi, Ghana. J Clin Diagn Res (2015) 9(2):Bc05–9. doi: 10.7860/JCDR/2015/10905.5530
37. Schillaci G, Reboldi G, Verdecchia P. High-normal serum creatinine concentration is a predictor of cardiovascular risk in essential hypertension. Arch Internal Med (2001) 161(6):886–91. doi: 10.1001/archinte.161.6.886
38. Zhang Y, Li H, Xie D, Li J, Zhang Y, Wang B, et al. Positive association between serum alkaline phosphatase and first stroke in hypertensive adults. Front Cardiovasc Med (2021) 8:749196. doi: 10.3389/fcvm.2021.749196
39. Zhang Y, Zhou C, Li J, Zhang Y, Xie D, Liang M, et al. Serum alkaline phosphatase levels and the risk of new-onset diabetes in hypertensive adults. Cardiovasc Diabetol (2020) 19(1):186. doi: 10.1186/s12933-020-01161-x
40. Perticone F, Perticone M, Maio R, Sciacqua A, Andreucci M, Tripepi G, et al. Serum alkaline phosphatase negatively affects endothelium-dependent vasodilation in naive hypertensive patients. Hypertension (2015) 66(4):874–80. doi: 10.1161/HYPERTENSIONAHA.115.06117
41. Zhang Y, Zhou C, Li J, Zhang Y, Xie D, Liang M, et al. Serum alkaline phosphatase levels and the risk of new-onset diabetes in hypertensive adults. Cardiovasc Diabetol (2020) 19(1):186. doi: 10.1186/s12933-020-01161-x
42. Yasuda Y, Miyake N, Matsuoka H, Sugihara S. Adiponectin, ALT and family history as critical markers for the development of type 2 diabetes in obese Japanese children. Endocrinol Diabetes Metab (2021) 4(1):e00178. doi: 10.1002/edm2.178
43. Zhu L, Fang Z, Jin Y, Chang W, Huang M, He L, et al. Association between serum alanine and aspartate aminotransferase and blood pressure: a cross-sectional study of Chinese freshmen. BMC Cardiovasc Disord (2021) 21(1):472. doi: 10.1186/s12872-021-02282-1
44. Hong X, Wongtongkam N, Ward PR, Xiao S, Wang S, Peng Q, et al. An association of serum ALT with elevated blood pressure in senior adults: a case-control study. Clin Exp Hypertension (2016) 38(8):691–5. doi: 10.1080/10641963.2016.1200608
45. Adewuya OA, Ajayi EA, Adebayo RA, Ojo OE, Olaoye OB. Serum uric acid and left ventricular hypertrophy in hypertensive patients in Ado-Ekiti. Pan Afr Med J (2020) 36:190. doi: 10.11604/pamj.2020.36.190.21072
46. Sanchez-Lozada LG, Rodriguez-Iturbe B, Kelley EE, Nakagawa T, Madero M, Feig DI, et al. Uric acid and hypertension: an update with recommendations. Am J Hypertension (2020) 33(7):583–94. doi: 10.1093/ajh/hpaa044
48. Katsiki N, Dimitriadis GD, Mikhailidis DP. Serum uric acid and diabetes: from pathophysiology to cardiovascular disease. Curr Pharm Des (2021) 27(16):1941–51. doi: 10.2174/1381612827666210104124320
49. Anders HJ, Huber TB, Isermann B, Schiffer M. CKD in diabetes: diabetic kidney disease versus nondiabetic kidney disease. Nat Rev Nephrol (2018) 14(6):361–77. doi: 10.1038/s41581-018-0001-y
50. Oda E. Decreased serum albumin predicts hypertension in a Japanese health screening population. Internal Med (2014) 53(7):655–60. doi: 10.2169/internalmedicine.53.1894
51. Hwang Y-C, Jun JE, Hong WJ, Jin SM, Bae JC, Hur KY, et al. Baseline level and change in serum albumin concentration and the risk of incident type 2 diabetes. J Diabetes Complications (2018) 32(1):61–6. doi: 10.1016/j.jdiacomp.2017.09.003
52. Hu F, Lou Y, Shi J, Cao L, Wang C, Ma J, et al. Baseline serum albumin and its dynamic change is associated with type 2 diabetes risk: A large cohort study in China. Diabetes Metab Res Rev (2020) 36(5):e3296. doi: 10.1002/dmrr.3296
53. Manolis AA, Manolis TA, Melita H, Mikhailidis DP, Manolis AS. Low serum albumin: A neglected predictor in patients with cardiovascular disease. Eur J Internal Med (2022) 102:24–39. doi: 10.1016/j.ejim.2022.05.004
54. Sarwar MS, Adnan T, Hossain MD, Uddin SM, Hossain MS, Al Baker SM. Evaluation of serum lipid profile in patients with hypertension living in a coastal region of Bangladesh. Drug Res (Stuttg) (2014) 64(7):353–7. doi: 10.1055/s-0033-1358704
55. Yokomichi H, Nagai A, Hirata M, Kiyohara Y, Muto K, Ninomiya T, et al. Serum glucose, cholesterol and blood pressure levels in Japanese type 1 and 2 diabetic patients: BioBank Japan. J Epidemiol (2017) 27(3,Supplement):S92–7. doi: 10.1016/j.je.2016.12.013
56. Akuyam SA, Aghogho UB, Aliyu IS, Bakari AG. Serum total cholesterol in hypertensive Northern Nigerians. Int J Med Med Sci (2009) 1(3):073–8.
57. Kolovou V, Lagou E, Mihas C, Vasiliki G, Katsiki N, Kollia A, et al. Angiotensinogen (AGT) M235T, AGT T174M and angiotensin-1-converting enzyme (ACE) I/D gene polymorphisms in essential hypertension: effects on ramipril efficacy. Open Cardiovasc Med J (2015) 9:118–26.
58. Raij L, Keane WF. Glomerular mesangium: its function and relationship to angiotensin II. Am J Med (1985) 79(3c):24–30. doi: 10.1016/0002-9343(85)90076-2
59. Kagami S, Border WA, Miller DE, Noble NA. Angiotensin II stimulates extracellular matrix protein synthesis through induction of transforming growth factor-beta expression in rat glomerular mesangial cells. J Clin Invest (1994) 93(6):2431–7. doi: 10.1172/JCI117251
Keywords: AGT gene polymorphism, hypertension, hypertensive diabetic, Tetra-ARMS PCR, genotyping
Citation: Akash MSH, Shahid M, Suhail S, Rehman K, Nadeem A and Mir TM (2023) Tetra-ARMS PCR analysis of angiotensinogen AGT T174M (rs4762) genetic polymorphism in diabetic patients: a comprehensive study. Front. Endocrinol. 14:1240291. doi: 10.3389/fendo.2023.1240291
Received: 14 June 2023; Accepted: 02 August 2023;
Published: 25 August 2023.
Edited by:
Mohamed Abu-Farha, Dasman Diabetes Institute, KuwaitReviewed by:
Kakali Ghoshal, Vanderbilt University Medical Center, United StatesAnam Ahsan, University of South Australia, Australia
Irfan Ullah, University of Minnesota Twin Cities, United States
Copyright © 2023 Akash, Shahid, Suhail, Rehman, Nadeem and Mir. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Muhammad Sajid Hamid Akash, sajidakash@gcuf.edu.pk; Kanwal Rehman, kanwalrehman@wum.edu.pk