Association of Delta-Aminolevulinic Acid Dehydratase Gene Variant with Serum Level of Alanine Aminotransferase

authors:

avatar Ashraf Mohamadkhani ORCID 1 , * , avatar Masoumeh Pourasgari 2 , avatar Mehrnaz Saveh 3 , avatar Hamid-reza Fazli 1 , avatar Parisa Shahnazari 4 , avatar Hossein Poustchi ORCID 1

Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
Cell and Molecular Biology Department, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
Department of Biology, North Tehran Branch, Islamic Azad University, Tehran, Iran
Department of Bioinformatics, University of Tehran, Tehran, Iran

how to cite: Mohamadkhani A, Pourasgari M, Saveh M, Fazli H , Shahnazari P, et al. Association of Delta-Aminolevulinic Acid Dehydratase Gene Variant with Serum Level of Alanine Aminotransferase. Hepat Mon. 2019;19(8):e94664. https://doi.org/10.5812/hepatmon.94664.

Abstract

Background:

The enzyme ALAD (delta-aminolevulinic acid dehydratase), encoded by the ALAD gene, catalyzes the synthesis of porphobilinogen. The 177G>C (rs1800435) polymorphism participates in the hereditary deficiency of porphobilinogen synthase to cause acute lead poisoning.

Objectives:

The current study aimed at investigating the allelic frequency of the enzyme ALAD in patients with non-alcoholic fatty liver disease (NAFLD) compared to the control group.

Methods:

The fatty liver index (FLI) algorithm was used to diagnose NAFLD in participants of a prospective cohort of the Digestive Diseases Research Institute (DDRI). The ALAD genotypes, ALAD1 and ALAD2, were identified in 100 patients with NAFLD and 200 healthy controls using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP).

Results:

The C-allele of ALAD rs1800435 frequency was 5.5% in the group of patients with NAFLD compared to 3.3% in the control group, without significant differences (P = 0.37); however, alleles were in the Hardy-Weinberg equilibrium (P > 0.05). Serum ALT level was considerably higher in the ALAD2 carriers group than in the ones not carrying ALAD2 (29.4 ± 13.9 vs. 19.4 ± 10.1, P = 0.041). Nonetheless, each C-allele increased the serum ALT level by 1.24 IU/L (95% confidence interval: 0.22 - 2.67; P = 0.04).

Conclusions:

The 177G>C (rs1800435) polymorphism in patients with NAFLD was similar to that of the normal population; however, it can be considered as a risk factor for serum ALT level increase.

1. Background

Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, from simple hepatic steatosis to steatohepatitis, which may progress to cirrhosis and eventually to hepatocellular carcinoma. NAFLD is a problem of high morbidity and mortality related to the liver, and also an increase in mortality due to cardiovascular disease (CVD) and cancer (1). Serum alanine aminotransferase (ALT) is a sensitive biomarker of hepatic injury commonly used to screen and detect abnormal liver function and estimate levels of abnormality. The increase in serum ALT level is more closely related to fat accumulation in the liver and reveals histological progression of the liver. Higher serum ALT level accompanied by echogenic liver ultrasonography, in the absence of any identified cause of liver disease, suggests the diagnosis of NAFLD (2, 3).

Despite well-known risk factors for NAFLD such as genetic components and life style, the underlying mechanism of fatty liver is unclear (2, 4, 5). However, environmental influences such as car engine exhaust particles, metals, and various polychlorinated elements are significant causes of NAFLD progression (6-8). The effect of exposure to air pollutants on the onset of diseases is widely accepted, and reveals a difference in the composition of fatty acids in the liver and adipose tissue that consequently has negative effects on health by increasing the risk of cardiovascular disease, systemic and immune inflammation, and symptoms of depression (9-11). The harmful impact of air pollutants is involved in the pathogenesis of fatty liver from oxidative stress and insulin resistance leading to increased levels of aminotransferase (12).

Delta-aminolevulinic acid dehydratase (ALAD) is a cytosolic sulfhydryl enzyme strongly inhibited by lead airborne particulates and generally attributed to the pathogenesis of lead poisoning (13, 14). Human ALAD is a polymorphic enzyme, encoded by the ALAD gene on chromosome 9q34 and involved in the synthesis of heme by converting aminolevulinate (ALA) to porphobilinogen (PBG). The common variant 177G>C (rs1800435) in the exon 4 of ALAD, which substitutes asparagine with lysine on residue 59, produces two codominant alleles ALAD1 and ALAD2 in three genotypes of ALAD 1-1, ALAD 1-2, and ALAD 2-2 (13, 15). It is shown that carriers of the ALAD2 (C allele) are prone to exhaust particles to have higher blood lead concentrations than the frequent ALAD1 (G allele). The electronegative properties of the ALAD2 enzyme increase its affinity for lead (16, 17).

2. Objectives

Atmospheric pollution as a major concern in urban environments affects patients with NAFLD; therefore, the current study aimed at investigating the frequency of ALAD genotypes, the enzyme related to air pollution that increases the sensitivity to lead poisoning, in patients with NAFLD compared to healthy individuals and the association of the ALAD rs1800435 polymorphism with serum ALT level.

3. Methods

3.1. Study Subjects

A total of 300 subjects (179 males and 121 females) in a prospective cohort at a referral clinic affiliated to Tehran University of Medical Sciences were enrolled in the current study. The current nested case-control study was conducted on 100 patients with NAFLD and 200 subjects with normal ALT levels (< 40 U/L in males, < 34 U/L in females) as a control group selected consecutively. The fatty liver index (FLI) algorithm was used to diagnose NAFLD according to the formula published by Huang et al. (18). Selection of ALT threshold values was based on previous studies to estimate the upper health limits in healthy blood donors (3). The study included subjects without a history of alcohol abuse, autoimmune hepatitis, use of hepatotoxic drugs, evidence of viral liver disease, tumors, cholestasis, or other metabolic diseases of the liver. Venous blood samples after a 12-hour overnight fasting were collected from all participants. Demographic data were obtained and the biochemical parameters for each subject were tested using available standardized methods (19). The study protocol was in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of the Digestive Disease Research Institute (DDRI), Shariati Hospital, Tehran University of Medical Sciences (TUMS) (ethical code: 416/780). Written informed consent was obtained from all subjects.

3.2. Genotyping for the ALAD Polymorphism

Genomic DNAs were extracted from the blood samples using the Gentra Puregene kit (Qiagen, Alameda, CA, USA) according to the manufacturer’s recommendations. To identify the two variants of ALAD, the polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) with specific primers to detect MspI restriction sites (C|CG G) was performed as described previously (15). The primers used in the ALAD genotyping were: 5’-AGACAGACATTAGCTCAGTA-3’ and 5’-GGCAAAGACCACGTCCATTC-3’ in amplification of a 916-base-pair (bp) sequence. PCR products were digested with the MspI restriction enzyme to produce dissimilar fragments that lead to specific genotypes. The fragmented products were then analyzed on the agarose gel. The wild type ALAD1-1, homozygous variants ALAD 2-2 and ALAD 1-2 heterozygous were defined by fragments of 582, 511, and 582 bp in addition to 511 bp, accordingly. The protocol and the condition of the PCR were as previously described (15).

3.3. Laboratory Measurements

Serum insulin was measured by ELISA (the enzyme-linked immunosorbent assay) technique (Diesse Company, Italy). Lipid profiles, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein-cholesterol (HDL-c), liver enzymes, and fasting plasma glucose were tested using an autoanalyzer (Cobas c 702, Roche; Shanghai, China). Platelets were counted using Sysmex kx-21.

3.4. Statistical Analysis

Analysis of variance (ANOVA) was used to compare continuous variables. Chi-square test was used to compare categorical group variables and also determine if the genotype distribution was in the Hardy-Weinberg equilibrium. Logistic regression analysis was used to calculate the odds ratios of the variants for ALT level. SPSS version 15.0 (SPSS, Chicago, IL, USA) was used to analyze data and P < 0.05 was considered significant.

4. Results

4.1. Clinical Features of the Study Population

The general characteristics of the NAFLD and non-NAFLD groups are shown in Table 1. The number of females and males, mean age, and body mass index (BMI) in the NAFLD group were respectively 42 and 58 subjects, 41.1 ± 14.2 years, and 24.7 ± 5.4 kg/m2 compared to 79 and 121 subjects, 11.44 ± 2.99 years, and 23.98 ± 4.6 kg/m2, which were not significantly different. The mean ALT, ALP, TG, cholesterol, and serum insulin levels were significantly higher in the NAFLD group than in the non-NAFLD group (P < 0.001).

Table 1.

Demographics and Clinical Features of Patients and Controlsa

CharacteristicsPatients with NAFLD (N = 100)Controls (N = 200)P Value
Age, y42.3 (11.9)41.1 (14.2)0.48
Gender, female/male42/5879/1210.70
BMI, kg/m224.7 (5.4)23.98 (4.6)0.18
Platelet × 109/L304.42 (89.01)293.70 (77.42)0.25
ALT, IU/L42.7 (8.3)16.9 (5.7)0.000
ALP, IU/L192.5 (55.6)169.6 (66.8)0.03
Cholesterol, mg/dL188.4 (40.7)165.0 (33.6)0.000
HDL, mg/dL45.4 (10.1)47.6 (10.0)0.075
TG, mg/dL198.3 (153.5)112.0 (52.7)0.000
FBS, mg/dL98.4 (18.6)85.6 (19.4)0.092
Insulin, IU/mL 9.50 (5.56)7.86 (6.24)0.027

4.2. ALAD Genotypes and Allele Distribution

According to the findings, 10% of the patients with NAFLD were ALAD2 carriers with both ALAD 2-2 (1%) and ALAD 1-2 (9%) genotypes. This rate was 6.5% in the control group, all with ALAD 1-2 genotype, without significant differences (P > 0.09).

The frequency of the C-allele of ALAD rs1800435 was 5.5% in patients and 3.3% in controls, with a borderline difference (P = 0.07); however, both the G- and the C-alleles were in the Hardy-Weinberg equilibrium (P > 0.05). Table 2 revealed the allelic frequency of the ALAD rs1800435 polymorphism and the genotype distribution between the patients and controls.

Table 2.

Distribution of the Frequency of Genotypes and Alleles in the Study Groups

VariantsaPatients with NAFLD (N = 100)Controls (N = 200)P Value
ALAD 177G>C (rs1800435)0.07
GenotypeNGF (%)NGF (%)
GG909018793.5
CG99136.5
CC1100
AlleleNAF (%)NAF (%)
G (ancestral)18994.538796.7
C (minor)115.5133.3

To assess whether 177G>C (rs1800435) polymorphism influences clinical parameters; the mean ± standard deviation (SD) of the variables was compared between the carriers and non-carriers of ALAD rs1800435. As shown in Table 3, the serum ALT level was considerably higher in the ALAD2 carriers than in non-carriers of ALAD2 (29.4 ± 13.9 vs. 19.4 ± 10.1, P = 0.041). However, no significant differences were observed in other experimental features and demographic data among the study groups (P > 0.05). Using the linear regression adjusted for age, BMI, and gender, a significant association was observed between the ALAD2 genotype and the ALT level. For ALAD rs1800435, each C-allele increased the ALT level by 1.24 IU/L (95% confidence interval (CI): 0.22 - 2.67; P = 0.04).

Table 3.

The Clinical Features of the ALAD 177G>C (rs1800435) Carriers and Non-Carriers in the Study Populationa

CharacteristicALAD2 Carriers (N = 100)ALAD1 Carriers (N = 200)P Value
Age, y39.6 (15.4)41.7 (13.2)0.53
Gender, female/male8/15113/1640.66
BMI, kg/m223.5 (4.8)24.3 (4.9)0.49
Platelet × 109/L311.12 (91.2)291.62 (85.9)0.19
ALT, IU/L29.4 (13.9)19.4 (10.1)0.041
ALP, IU/L207.0 (104.3)147.7 (59.2)0.15
Cholesterol, mg/dL174.1 (50.3)172.7 (36.6)0.89
HDL, mg/dL46.2 (9.1)46.9 (10.2)0.71
TG, mg/dL146.9 (125.4)140.3 (104.8)0.80
FBS, mg/dL90.0 (26.0)86.2 (18.5)0.50
Insulin, IU/mL7.64 (4.33)8.47 (6.19)0.40

5. Discussion

The effects of environmental factors such as air pollution on the incidence of NAFLD along with an increase in liver enzyme levels and consequent steatosis were previously reported (6, 9, 20). Exposure to diesel exhaust particles in diabetic obese mice is positively associated with NAFLD, and mortality due to diabetes mellitus is probably through increased oxidative stress (10). This situation is important to explore the contribution of variants in ALAD gene related to lead toxicity in common diseases such as NAFLD. Although the ALAD rs1800435 polymorphism has important effects on the susceptibility to toxicity of lead particle, information on the distribution of ALAD gene polymorphism in NAFLD subjects is not provided. Furthermore, there was no evidence to demonstrate the distribution of genetic variants of the ALAD genotypes in the Iranian population.

The current study results showed that the distribution of ALAD genotypes in patients with NAFLD compared to healthy subjects had no significant differences and also allelic variations of ALAD locus showed similar frequencies in both study groups. Previous studies confirmed that ALAD2 carriers are generally more likely to have a high blood lead level (14, 21, 22); however, blood lead was not measured in the current study. Though, carriers of ALAD 177G>C variants in the current study showed an increase in serum ALT; therefore, it could be evidence for an association between ALAD genotypes and predisposition to NAFLD. The serum ALT level is a sensitive indicator and one of the key tests to recognize, screen, and follow-up the patients with hepatitis. The significance of ALT activity as an index of liver damage was examined in previous studies (23, 24). Furthermore, the allelic frequency of ALAD in the current study was very similar to that of previously reported in Caucasian and Asian populations with distribution of 92% for ALAD 1-1 and 8% for ALAD 1-2 (22, 25). Therefore, the current study results suggested a consistency in the distribution of ALAD 177G>C (rs1800435) variants in the Iranian population.

5.1. Conclusions

In conclusion, although there was no difference in the distribution of ALAD genotypes among the patient groups with controls; however, ALAD2 carriers had a higher serum ALT level. Air pollution has the most important effects on human health, causing numerous diseases and leading to high morbidity and mortality, especially in the developing countries. Therefore, with reference to the hypothesis that air pollution influences the development of NAFLD, as an important economic burden and health problem, it must be assessed by measuring the level of lead in blood and through mechanisms related to systemic oxidative stress.

References

  • 1.

    Nahandi MZ, Khoshbaten M, Ramazanzadeh E, Abbaszadeh L, Javadrashid R, Shirazi KM, et al. Effect of non-alcoholic fatty liver disease on carotid artery intima-media thickness as a risk factor for atherosclerosis. Gastroenterol Hepatol Bed Bench. 2014;7(1):55-62. [PubMed ID: 25436098]. [PubMed Central ID: PMC4017554].

  • 2.

    Alwahsh SM, Gebhardt R. Dietary fructose as a risk factor for non-alcoholic fatty liver disease (NAFLD). Arch Toxicol. 2017;91(4):1545-63. [PubMed ID: 27995280]. https://doi.org/10.1007/s00204-016-1892-7.

  • 3.

    Mohamadnejad M, Pourshams A, Malekzadeh R, Mohamadkhani A, Rajabiani A, Asgari AA, et al. Healthy ranges of serum alanine aminotransferase levels in Iranian blood donors. World J Gastroenterol. 2003;9(10):2322-4. [PubMed ID: 14562401]. [PubMed Central ID: PMC4656486]. https://doi.org/10.3748/wjg.v9.i10.2322.

  • 4.

    Alsabaani AA, Mahfouz AA, Awadalla NJ, Musa MJ, Al Humayed SM. Non-alcoholic fatty liver disease among type-2 diabetes mellitus patients in Abha City, South Western Saudi Arabia. Int J Environ Res Public Health. 2018;15(11). [PubMed ID: 30423871]. [PubMed Central ID: PMC6266142]. https://doi.org/10.3390/ijerph15112521.

  • 5.

    Erfanian S, Moradzadeh M, Solhjoo K, Jahromi AS. Data describing the association between rs266729 polymorphism inadiponectin promoter gene and Type 2 Diabetes Mellitus. Data Brief. 2016;9:1138-40. [PubMed ID: 27942572]. [PubMed Central ID: PMC5133470]. https://doi.org/10.1016/j.dib.2016.11.040.

  • 6.

    Zheng Z, Xu X, Zhang X, Wang A, Zhang C, Huttemann M, et al. Exposure to ambient particulate matter induces a NASH-like phenotype and impairs hepatic glucose metabolism in an animal model. J Hepatol. 2013;58(1):148-54. [PubMed ID: 22902548]. [PubMed Central ID: PMC3527686]. https://doi.org/10.1016/j.jhep.2012.08.009.

  • 7.

    Ghorani-Azam A, Riahi-Zanjani B, Balali-Mood M. Effects of air pollution on human health and practical measures for prevention in Iran. J Res Med Sci. 2016;21:65. [PubMed ID: 27904610]. [PubMed Central ID: PMC5122104]. https://doi.org/10.4103/1735-1995.189646.

  • 8.

    Hatami B, Ashtari S, Sharifian A, Rahmani Seraji H, Khalili E, Hatami Y, et al. Changing the cause of liver cirrhosis from hepatitis B virus to fatty liver in Iranian patients. Gastroenterol Hepatol Bed Bench. 2017;10(Suppl1):S20-6. [PubMed ID: 29511467]. [PubMed Central ID: PMC5838176].

  • 9.

    Hong YC, Lee JT, Kim H, Kwon HJ. Air pollution: A new risk factor in ischemic stroke mortality. Stroke. 2002;33(9):2165-9. [PubMed ID: 12215581]. https://doi.org/10.1161/01.str.0000026865.52610.5b.

  • 10.

    Tomaru M, Takano H, Inoue K, Yanagisawa R, Osakabe N, Yasuda A, et al. Pulmonary exposure to diesel exhaust particles enhances fatty change of the liver in obese diabetic mice. Int J Mol Med. 2007;19(1):17-22. [PubMed ID: 17143543].

  • 11.

    Bucher S, Tete A, Podechard N, Liamin M, Le Guillou D, Chevanne M, et al. Co-exposure to benzo[a]pyrene and ethanol induces a pathological progression of liver steatosis in vitro and in vivo. Sci Rep. 2018;8(1):5963. [PubMed ID: 29654281]. [PubMed Central ID: PMC5899096]. https://doi.org/10.1038/s41598-018-24403-1.

  • 12.

    Perez M, Gonzales L, Olarte R, Rodriguez NI, Tabares M, Salazar JP, et al. Nonalcoholic fatty liver disease is associated with insulin resistance in a young Hispanic population. Prev Med. 2011;52(2):174-7. [PubMed ID: 21147154]. https://doi.org/10.1016/j.ypmed.2010.11.021.

  • 13.

    Suzen HS, Duydu Y, Aydin A. Molecular analysis of delta-aminolevulinic acid dehydratase (ALAD) gene polymorphism in a Turkish population. Biochem Genet. 2004;42(11-12):461-7. [PubMed ID: 15587989].

  • 14.

    Kayaalti Z, Sert S, Kaya-Akyuzlu D, Soylemez E, Soylemezoglu T. Association between delta-aminolevulinic acid dehydratase polymorphism and placental lead levels. Environ Toxicol Pharmacol. 2016;41:147-51. [PubMed ID: 26701682]. https://doi.org/10.1016/j.etap.2015.11.017.

  • 15.

    Montenegro MF, Barbosa F Jr, Sandrim VC, Gerlach RF, Tanus-Santos JE. Ethnicity affects the distribution of delta-aminolevulinic acid dehydratase (ALAD) genetic variants. Clin Chim Acta. 2006;367(1-2):192-5. [PubMed ID: 16445899]. https://doi.org/10.1016/j.cca.2005.12.009.

  • 16.

    Montenegro MF, Barbosa F Jr, Sandrim VC, Gerlach RF, Tanus-Santos JE. A polymorphism in the delta-aminolevulinic acid dehydratase gene modifies plasma/whole blood lead ratio. Arch Toxicol. 2006;80(7):394-8. [PubMed ID: 16341691]. https://doi.org/10.1007/s00204-005-0056-y.

  • 17.

    Fujihara J, Agusa T, Yasuda T, Soejima M, Kato H, Panduro A, et al. Ethnic variation in genotype frequencies of delta-aminolevulinic acid dehydratase (ALAD). Toxicol Lett. 2009;191(2-3):236-9. [PubMed ID: 19766174]. https://doi.org/10.1016/j.toxlet.2009.09.005.

  • 18.

    Huang X, Xu M, Chen Y, Peng K, Huang Y, Wang P, et al. Validation of the fatty liver index for nonalcoholic fatty liver disease in middle-aged and elderly Chinese. Medicine (Baltimore). 2015;94(40). e1682. [PubMed ID: 26448014]. [PubMed Central ID: PMC4616754]. https://doi.org/10.1097/MD.0000000000001682.

  • 19.

    Mohamadkhani A, Poustchi H. Repository of human blood derivative biospecimens in biobank: Technical implications. Middle East J Dig Dis. 2015;7(2):61-8. [PubMed ID: 26106464]. [PubMed Central ID: PMC4430793].

  • 20.

    Hiyoshi M, Uemura H, Arisawa K, Nakamoto M, Hishida A, Okada R, et al. Association between the catechol-O-methyltransferase (rs4680: Val158Met) polymorphism and serum alanine aminotransferase activity. Gene. 2012;496(2):97-102. [PubMed ID: 22293393]. https://doi.org/10.1016/j.gene.2012.01.015.

  • 21.

    La-Llave-Leon O, Mendez-Hernandez EM, Castellanos-Juarez FX, Esquivel-Rodriguez E, Vazquez-Alaniz F, Sandoval-Carrillo A, et al. Association between blood lead levels and delta-aminolevulinic acid dehydratase in pregnant women. Int J Environ Res Public Health. 2017;14(4). [PubMed ID: 28420209]. [PubMed Central ID: PMC5409633]. https://doi.org/10.3390/ijerph14040432.

  • 22.

    Shen XM, Wu SH, Yan CH, Zhao W, Ao LM, Zhang YW, et al. Delta-aminolevulinate dehydratase polymorphism and blood lead levels in Chinese children. Environ Res. 2001;85(3):185-90. [PubMed ID: 11237505]. https://doi.org/10.1006/enrs.2000.4230.

  • 23.

    Prati D, Taioli E, Zanella A, Della Torre E, Butelli S, Del Vecchio E, et al. Updated definitions of healthy ranges for serum alanine aminotransferase levels. Ann Intern Med. 2002;137(1):1-10. [PubMed ID: 12093239]. https://doi.org/10.7326/0003-4819-137-1-200207020-00006.

  • 24.

    Miyake T, Kumagi T, Hirooka M, Koizumi M, Furukawa S, Ueda T, et al. Metabolic markers and ALT cutoff level for diagnosing nonalcoholic fatty liver disease: A community-based cross-sectional study. J Gastroenterol. 2012;47(6):696-703. [PubMed ID: 22331365]. https://doi.org/10.1007/s00535-012-0534-y.

  • 25.

    Ben-Ezzer J, Oelsner H, Szeinberg A. Genetic polymorphism of delta-aminolevulinate dehydrase in several population groups in Israel. Hum Hered. 1987;37(4):229-32. [PubMed ID: 3653904]. https://doi.org/10.1159/000153708.