Abstract
Maturity Onset Diabetes of the Young (MODY) presents monogenic inheritance and mutation factors which have already been identified in six different genes. Given the wide molecular variation present in the hepatocyte nuclear factor-1α gene (HNF1α) MODY3, the aim of this study was to amplify and sequence the coding regions of this gene in seven patients from the Campos Gerais region, Paraná State, Brazil, presenting clinical MODY3 features. Besides the synonymous variations, A15A, L17L, Q141Q, G288G and T515T, two missense mutations, I27L and A98V, were also detected. Clinical and laboratory data obtained from patients were compared with the molecular findings, including the I27L polymorphism that was revealed in some overweight/obese diabetic patients of this study, this corroborating with the literature. We found certain DNA variations that could explain the hyperglycemic phenotype of the patients.
Keywords: MODY3, molecular diagnosis, diabetes mellitus, nucleotide sequencing
Maturity Onset Diabetes of the Young (MODY), which comprises between 1 to 5% of all the cases of diabetes, is characterized by monogenic autosomal dominant inheritance, early onset (usually before 25 years of age), with at least one and ideally two family members affected, and the dysfunction of pancreatic β cells (Tattersall, 1974; Velho and Froguel, 1998). The six well-characterized subtypes of MODY that are related to mutations in six different genes are, GCK, which encodes the glucokinase enzyme (MODY2) (Froguel et al., 1992) and five for transcription factors, such as HNF4α (MODY1) (Yamagata et al., 1996a), HNF1α (MODY3) (Yamagata et al., 1996b), IPF1 (MODY4) (Stoffers et al., 1997), HNF1β (MODY5) (Horikawa et al., 1997) and NeuroD1/β2 (MODY6) (Malecki et al., 1999). MODY2 and MODY3 are the most common subtypes, with frequencies that vary according to the population. In Brazil, the prevalence of MODY3 is 13%–46.2%, followed by MODY2 with 7.7%–12.5% (Moises et al., 2001; Furuzawa et al., 2008). Furthermore, Maraschin et al. (2008) suggested that the majority MODY cases in Brazil are due to MODY-X genes. These MODY subtypes are rare disorders identified in some families, while the locus involved (called MODY-X) has not yet elucidated (Maraschin et al., 2008).
The accurate and early diagnosis of diabetes can be decisive in the clinical management of less severe cases, as, for example, MODY2 (non-progressive and with a low prevalence of microvascular complications) (Froguel et al., 1993), but especially in situations of major health problems as in the case of MODY3 (Yamagata et al., 1996b). Therefore, this study aimed at exploring possible mutations related to HNF1α in patients clinically diagnosed as MODY diabetes, from localities in the Campos Gerais region, Paraná State, in southern Brazil. This study sought to relate the clinical profile of these patients with their molecular characterization. The HNF1α gene (MODY3) was chosen for investigation. The other MODY subtypes were not tested, due to their rare incidence in Brazilian populations (Moises et al., 2001; Furuzawa et al., 2008).
This research was approved by the Committee for Ethics in Human Research at the Universidade Estadual de Ponta Grossa (COEP n° 14/2009). The sample consisted of seven unrelated patients suffering from medicinally untreatable diabetes, together the early onset of severe and progressive hyperglycemia, concurrently affecting other family members. According to Ellard et al. (2008), MODY diabetes is characterized by monogenic autosomal dominant inheritance, early onset (usually before 25 years of age), with at least one and ideally two, family members affected, a family history of diabetes (at least two generations), the absence of pancreatic islet autoantibodies, non-insulin independence outside the normal honeymoon period (3 years), no insulin resistance, and dysfunction of pancreatic β cells. Some of the clinical characteristics of these patients can be seen in Table 1.
Table 1.
Patients
|
|||||||
---|---|---|---|---|---|---|---|
Data | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
Gender | Female | Female | Male | Male | Female | Female | Male |
Age/age of diagnosis | 60/46 | 50/36 | 40/26 | 48/38 | 39/16 | 48/40 | 60/45 |
Number of affected relatives, degree of kinship between brackets | 3 (1) | 1 (1) | 1 (1) | 1 (1) | 4 (1) | 2 (1) | 4 (1) |
BMI (kg/m2) | 28.37 | 30.30 | 26.47 | 33.57 | 33.30 | 28.58 | 31.94 |
Hypertension | Yes | Yes | No | No | Yes | No | Yes |
Diabetes treatment | Insulin | Insulin | Insulin | Oral agent | Insulin | Oral agent | Insulin + oral agent |
Micro/macrovascular complications | Yes/yes | No/no | No/no | No/no | Yes/yes | No/yes | Yes/no |
HbA1c (%) | 6.40 | 14.30 | 9.78 | 10.68 | 11.30 | 11.45 | 12.60 |
Fasting glycemia (mg/dL) | 165 | 281 | 406 | 278 | 260 | 305 | 301 |
Postprandial glycemia (mg/dL) | 186 | 364 | 332 | 420 | 398 | 326 | 324 |
C peptide (ng/mL) | 2.50 | 3.37 | 1.40 | 3.50 | 1.20 | 2.10 | 1.20 |
Basal insulin (μUI/mL) | 5.0 | 11.3 | 9.3 | 13.8 | 28.3 | 9.1 | 20.3 |
Postprandial insulin (μUI/mL) | 17.0 | 45.6 | 16.5 | 15.7 | 12.4 | 12.0 | 9.8 |
Anti-glutamic acid decarboxylase antibodies (μU/mL) | 0.5 | 0.5 | 0.2 | 0.2 | 0.1 | 0.5 | 0.4 |
Anti-Langerhans islets antibody | No reagent | No reagent | 0.8 | No reagent | 0.2 | 0.5 | 0.6 |
Anti-insulin antibody (U/mL) | 1.0 | 3.20 | 0.80 | 1.60 | 2.40 | 0.61 | 0.50 |
Reference values: BMI (Body Mass Index): 18.5–24.9 kg/m2 (normal weight), overweight (25–29.9 kg/m2), mild obesity – grade 1 (30–34.9 kg/m2), according to World Health Organization (1998); HbA1c: 4.0–7.0%; Fasting glycemia: ≤ 100 mg/dL; Postprandial glycemia (2-hour post challenge load): < 140 mg/dL; C peptide: 1.1 a 5.0 ng/mL; Basal insulin: = 29.1 μUI/mL; Postprandial insulin: < 150 μUI/mL; Anti-glutamic acid decarboxylase antibodies: < 1.0U/mL; Anti-Langerhans Islets antibody: no reagent; Anti-insulin antibody: = 1 U/mL; Hypertension: arterial pressure 130/80 mm Hg.
Genomic DNA was extracted from blood samples with commercial kits (Qiagen). PCR (Polymerase Chain Reaction) amplification was with oligonucleotides for the flanking regions of 10 exons of the HNF1α gene (Nogaroto et al., 2011). Following electrophoresis, the samples were purified using commercial kits (Roche), and then sequenced in an automatic ABI-PRISM 3100 sequencer (Applied Biosystems). Molecular analysis of the amplified fragments revealed seven variations in the HNF1α gene, five synonymous and two missense mutations (Table 2).
Table 2.
Patients | Localization | Codon | Nucleotide change | Aminoacid change | Reference |
---|---|---|---|---|---|
5 | Exon 1 | 15 | CTCCTG | A15A | 1 |
1, 2, 5, 7 | Exon 1 | 17 | GCCGCA | L17L | 2 |
1, 2, 5 | Exon 1 | 27 | ATCCTC | I27L | 2 |
1 | Exon 1 | 98 | GCCGTC | A98V | 2 |
6 | Exon 2 | 141 | CAGCAA | Q141Q | 1 |
2, 3, 5 | Exon 4 | 288 | GGGGGC | G288G | 3 |
2 | Exon 8 | 515 | ACGACA | T515T | 4 |
Legend: (1) present paper, (2) Yamagata et al. (1996b), (3) Yang et al. (2006), (4) Jafar-Mohammadi et al. (2009).
Generally, silent mutations are usually classified as allelic polymorphisms, which are discarded in analyses of wider interest because they are considered to be neutral. Cartegni et al. (2002) compiled more than 20 studies reporting specific points of synonymous mutations within coding regions associated with altered splicing, which in turn led to the exclusion of certain exons. In this study, none of the synonymous variants found in exons of the HNF1α gene was associated with known donor sites for splicing.
HNF1α protein essentially consists of three functional domains: the dimerization domain (N-terminal), the DNA binding domain (with a POUS motif and a POUH homeodomain region) and the transactivation domain (C-terminal) (Ryffel, 2001). The missense mutations found in the present study are contained in the dimerization domain of the protein (I27L), and in the POU DNA binding domain (A98V). Whereas, on studying patients bearing this allelic variation, Chiu et al. (2003) found a moderate risk of developing type 2 diabetes mellitus (T2DM), and an increased risk was reported by Chen et al. (2010). In vivo, the A98V polymorphism demonstrated a deterioration in insulin release in response to glucose over time, whereas the I27L was associated with a propensity to develop T2DM, especially in 60-plus-year-old overweight individuals (Holmkvist et al., 2006). This relationship between BMI and I27L was also reported by Ranade et al. (2010), where 80% of the patients with this variant were also overweight. These data are consistent with our findings, wherein two of the three patients harboring the polymorphism were obese and one was overweight.
In Scandinavian carriers of the A98V allelic variation, Holmkvist et al. (2006), assumed a significant and progressive reduction in the secretion of insulin before glucose ingestion, whereas Lehto et al. (1999) proposed an association between this polymorphism and the early onset of T2DM. This has also been observed in patients from India (Anuradha et al., 2005). Rissanen et al. (2000) found an association between the 98V allele and late onset T2DM in Finnish patients, but not in Chinese. Anuradha et al. (2005) correlated A98V and the early onset MODY type diabetes in Indians. Increased frequency of A98V polymorphism was noted in a sample of Brazilian patients, with late-onset autosomal dominant type diabetes mellitus (Giuffrida et al., 2009). As regards MODY3, the main variants to be found in the HNF1α gene are I27L, A98V, G319S and S487N (Holmkvist et al., 2006). Worthy of note: the lack of consensus in identifying some DNA variations as being present in T2DM or monogenic diabetes (MODY), hampers, not only in the correct diagnosis of which type of diabetes the patient has, but also in discriminating what would be relevant for its molecular characterization and treatment.
The severe failure of glycemic control in patients, placed in evidence by fasting and postprandial testing, is compatible with the failure of insulin secretion in response to glucose, typical of MODY3 patients (Glamoclija and Jevric-Causevic, 2010). The marked presence of polymorphisms, already associated with T2DM, but also present in the gene responsible for MODY3, permits questioning the classification of these patients as type 2 diabetic patients or as typical MODY3 patients. Factors, such as obesity and insulin resistance, are requisites for triggering the onset of diabetes (Hegele et al., 1999). Furthermore, the perceptibly constant presence of overweight patients in this study could be an indication of an even more complex relationship between the development of obesity and the polymorphism found, especially as regards patient 1, who carried both the variants I27L and A98V, and who, at the age of 41, was overweight and presented hypertension and micro and macrovascular complications.
In conclusion, we found certain DNA variations that could explain the hyperglycemic phenotype of the patients. This study found variations in exonic sequences for the HNF1α gene in the patients corresponding to five silent mutations, in addition to the variants I27L and A98V, which have previously been described in patients with the common form of MODY and T2DM, but were also found in non-diabetic patients (Hegele et al., 1999; Rissanen et al., 2000; Giuffrida et al., 2009), thereby reflecting their controversial significance variations. Thus, different population studies also reported different conclusions about the molecular findings of HNF1α, sometimes linking them to completely different types of diabetes, including those of monogenic or multifactorial origin. A consensus concerning this scenario should be discussed in future studies, with a mind to facilitating the correct classification of the polymorphisms found, thereby leading to more accurate diagnosis of diabetes types. The regulation of expression of these genes in diabetic patients with these allelic variations could be explained in part by epigenetic differences, as well as by environmental factors, resulting in a complex and still open issue.
Acknowledgments
This study was financed by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), Fundação Araucária (Fundação Araucária de Apoio ao Desenvolvimento Científico e Tecnológico do Estado do Paraná), and SETI/UGF (Secretaria de Estado da Ciência, Tecnologia e Ensino Superior/Unidade Gestora do Fundo do Paraná).
Footnotes
Associate Editor: Mara Hutz
References
- Anuradha S, Radha V, Deepa R, Hansen T, Carstensen B, Pedersen O, Mohan V. A prevalent amino acid polymorphism at codon 98 (Ala98Val) of the hepatocyte nuclear factor-1alpha is associated with maturity-onset diabetes of the young and younger age at onset of type 2 diabetes in Asian Indians. Diabetes Care. 2005;28:2430–2435. doi: 10.2337/diacare.28.10.2430. [DOI] [PubMed] [Google Scholar]
- Cartegni L, Chew SL, Krainer AR. Listening to silence and understanding nonsense: Exonic mutations that affect splicing. Nat Rev Genet. 2002;3:285–298. doi: 10.1038/nrg775. [DOI] [PubMed] [Google Scholar]
- Chen T, Cao X, Long Y, Zhang X, Yu H, Xu J, Yu T, Tian H. I27L polymorphism in hepatocyte nuclear factor-1α gene and type 2 diabetes mellitus: A meta-analysis of studies about orient population (Chinese and Japanese) Int J Diabetes Mellit. 2010;2:28–31. [Google Scholar]
- Chiu KC, Chuang LM, Chu A, Yoon C, Wang M. Comparison of the impact of the I27L polymorphism of the hepatocyte nuclear factor-1alpha on estimated and measured beta cell indices. Eur J Endocrinol. 2003;148:641–647. doi: 10.1530/eje.0.1480641. [DOI] [PubMed] [Google Scholar]
- Ellard S, Bellanné-Chantelot C, Hattersley AT, European Molecular Genetics Quality Network (EMQN) MODY Group Best practice guidelines for the molecular genetics diagnosis of maturity-onset diabetes of the young. Diabetologia. 2008;51:546–553. doi: 10.1007/s00125-008-0942-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Froguel P, Vaxillaire M, Sun F, Velho G, Zouali H, Butel MO, Lesage S, Vionnet N, Clément K, Fougerousse F, et al. Close linkage of glucokinase locus on chromosome 7p to early-onset non-insulin-dependent diabetes mellitus. Nature. 1992;356:162–164. doi: 10.1038/356162a0. [DOI] [PubMed] [Google Scholar]
- Froguel P, Zouali H, Vionnet N, Velho G, Vaxillaire M, Sun F, Lesage S, Stoffel M, Takeda J, Passa P, et al. Familial hyperglycemia due to mutations in glucokinase: Definition of a subtype of diabetes mellitus. N Engl J Med. 1993;328:697–702. doi: 10.1056/NEJM199303113281005. [DOI] [PubMed] [Google Scholar]
- Furuzawa GK, Giuffrida FMA, Oliveira CSV, Chacra AR, Dib SA, Reis AF. Low prevalence of MODY2 and MODY3 mutations in Brazilian individuals with clinical MODY phenotype. Diabetes Res Clin Pract. 2008;81:12–14. doi: 10.1016/j.diabres.2008.06.011. [DOI] [PubMed] [Google Scholar]
- Giuffrida FMA, Furuzawa GK, Kasamatsu TS, Oliveira MM, Reis AF, Dib SA. HNF1A gene polymorphisms and cardiovascular risk factors in individuals with late-onset autosomal dominant diabetes: A cross-sectional study. Cardiovasc Diabetol. 2009;8:28. doi: 10.1186/1475-2840-8-28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Glamoclija U, Jevric-Causevic A. Genetic polymorphisms in diabetes: Influence on therapy with oral anti-diabetics. Acta Pharm. 2010;60:387–406. doi: 10.2478/v10007-010-0040-9. [DOI] [PubMed] [Google Scholar]
- Hegele RA, Cao H, Harris SB, Hanley AJ, Zinman B. The hepatic nuclear factor-1α G319S variant is associated with early-onset type 2 diabetes in Canadian Oji-Cree. J Clin Endocrinol Metab. 1999;84:1077–1082. doi: 10.1210/jcem.84.3.5528. [DOI] [PubMed] [Google Scholar]
- Holmkvist J, Cervin C, Lyssenko V, Winckler W, Anevski D, Cilio C, Almgren P, Berglund G, Nilsson P, Tuomi T, et al. Common variants in HNF-1 alpha and risk of type 2 diabetes. Diabetologia. 2006;49:2882–2891. doi: 10.1007/s00125-006-0450-x. [DOI] [PubMed] [Google Scholar]
- Horikawa Y, Iwasaki N, Hara M, Furuta H, Hinokio Y, Cockburn BN, Lindner T, Yamagata K, Ogata M, Tomonaga O, et al. Mutation in hepatocyte nuclear factor-1b gene (TCF2) associated with MODY. Nat Genet. 1997;17:384–385. doi: 10.1038/ng1297-384. [DOI] [PubMed] [Google Scholar]
- Jafar-Mohammadi B, Groves CJ, Owen KR, Frayling TM, Hattersley AT, McCarthy MI, Gloyn AL. Low frequency variants in the exons only encoding isoform A of HNF1A do not contribute to susceptibility to type 2 diabetes. PLoS One. 2009;4:e6615. doi: 10.1371/journal.pone.0006615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lehto M, Wipemo C, Ivarsson SA, Lindgren C, Lipsanen-Nyman M, Weng J, Wibell L, Widén E, Tuomi T, Groop L. High frequency of mutations in MODY and mitochondrial genes in Scandinavian patients with familial early-onset diabetes. Diabetologia. 1999;42:1131–1137. doi: 10.1007/s001250051281. [DOI] [PubMed] [Google Scholar]
- Malecki MT, Jhala US, Antonellis A, Fields L, Doria A, Orban T, Saad M, Warram JH, Montminy M, Krolewski AS. Mutations in NEUROD1 are associated with the development of type 2 diabetes mellitus. Nat Genet. 1999;23:323–328. doi: 10.1038/15500. [DOI] [PubMed] [Google Scholar]
- Maraschin JF, Kannengiesser C, Murussi N, Campagnolo N, Canani LH, Gross JL, Velho G, Grandchamp B, Silveiro SP. HNF1α mutations are present in half of clinically defined MODY patients in south-Brazilian individuals. Arq Bras Endocrinol Metabol. 2008;52:1326–1331. doi: 10.1590/s0004-27302008000800020. [DOI] [PubMed] [Google Scholar]
- Moises RS, Reis AF, Morel V, Chacra AR, Dib SA, Bellanne-Chantelot C, Velho C. Prevalence of maturity-onset diabetes of the young mutations in Brazilian families with autosomal-dominant early-onset type 2 diabetes. Diabetes Care. 2001;24:786–788. doi: 10.2337/diacare.24.4.786. [DOI] [PubMed] [Google Scholar]
- Nogaroto V, Svidnicki PV, Bonatto N, Milléo FQ, Almeida MC, Vicari MR, Artoni RF. New HNF-1a nonsense mutation causes maturity-onset diabetes of the young type 3. Clinics. 2011;66:167–168. doi: 10.1590/S1807-59322011000100029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ranade SS, Deobagkar DN, Deobagkar DD. Identification of I27L polymorphism in the HNF1α gene in Western Indian population with late-onset of diabetes. Int J Diabetes Dev Ctries. 2010;30:226–229. [Google Scholar]
- Rissanen J, Wang H, Miettinen R, Karkkainen P, Kekalainen P, Mykkanen L, Kuusisto J, Karhapää P, Niskanen L, Uusitupa M, et al. Variants in the hepatocyte nuclear factor-1 alpha and 4 alpha genes in Finnish and Chinese subjects with late-onset type 2 diabetes. Diabetes Care. 2000;23:1533–1538. doi: 10.2337/diacare.23.10.1533. [DOI] [PubMed] [Google Scholar]
- Ryffel GU. Mutations in the human genes encoding the transcription factors of the hepatocyte nuclear factor (HNF)1 and HNF4 families: Functional and pathological consequences. J Mol Endocrinol. 2001;27:11–29. doi: 10.1677/jme.0.0270011. [DOI] [PubMed] [Google Scholar]
- Stoffers DA, Ferrer J, Clarke WL, Habener JF. Early-onset type-II diabetes mellitus (MODY4) linked to IPF1. Nat Genet. 1997;17:138–139. doi: 10.1038/ng1097-138. [DOI] [PubMed] [Google Scholar]
- Tattersall RB. Mild familial diabetes with dominant inheritance. Q J Med. 1974;43:339–357. [PubMed] [Google Scholar]
- Velho G, Froguel P. Genetic, metabolic and clinical characteristics of maturity onset diabetes of the young. Eur J Endocrinol. 1998;138:233–239. doi: 10.1530/eje.0.1380233. [DOI] [PubMed] [Google Scholar]
- World Health Organization . Obesity: Preventing and Managing the Global Epidemic: Report of a WHO Consultation on Obesity. WHO; Geneva: 1998. p. 276. [PubMed] [Google Scholar]
- Yamagata K, Furuta H, Oda N, Kaisaki PJ, Menzel S, Cox NJ, Fajans SS, Signorini S, Stoffel M, Bell GI. Mutations in the hepatocyte nuclear factor 4 alpha gene in maturity-Onset diabetes of the young (MODY 1) Nature. 1996a;384:458–460. doi: 10.1038/384458a0. [DOI] [PubMed] [Google Scholar]
- Yamagata K, Oda N, Kaisaki PJ, Menzel S, Furuta H, Vaxillaire M, Southam L, Cox RD, Lathrop GM, Boriraj VV, et al. Mutations in the hepatocyte nuclear factor 1 alpha gene in maturity-onset diabetes of the young (MODY 3) Nature. 1996b;384:455–458. doi: 10.1038/384455a0. [DOI] [PubMed] [Google Scholar]
- Yang Z, Wu S, Zheng T, Lu H, Xiang K. Identification of four novel mutations in the HNF-1A gene in Chinese early-onset and/or multiplex diabetes pedigrees. Chin Med J. 2006;119:1072–1078. [PubMed] [Google Scholar]