Inactivating mutations in glucokinase (GCK) cause mild fasting hyperglycemia. Identification of a GCK mutation has implications for treatment and prognosis; therefore, it is important to identify these individuals. A significant number of patients have a phenotype suggesting a defect in glucokinase but no abnormality of GCK. We hypothesized that the GCK β-cell promoter region, which currently is not routinely screened, could contain pathogenic mutations; therefore, we sequenced this region in 60 such probands.
The β-cell GCK promoter was sequenced in patient DNA. The effect of the identified novel mutation on GCK promoter activity was assessed using a luciferase reporter gene expression system. Electrophoretic mobility shift assays (EMSAs) were used to determine the impact of the mutation on Sp1 binding.
A novel −71G>C mutation was identified in a nonconserved region of the human promoter sequence in six apparently unrelated probands. Family testing established cosegregation with fasting hyperglycemia (≥5.5 mmol/l) in 39 affected individuals. Haplotype analysis in the U.K. family and four of the Slovakian families demonstrated that the mutation had arisen independently. The mutation maps to a potential transcriptional activator binding site for Sp1. Reporter assays demonstrated that the mutation reduces promoter activity by up to fourfold. EMSAs demonstrated a dramatic reduction in Sp1 binding to the promoter sequence corresponding to the mutant allele.
A novel β-cell GCK promoter mutation was identified that significantly reduces gene expression in vitro through loss of regulation by Sp1. To ensure correct diagnosis of potential GCK-MODY (maturity-onset diabetes of the young) cases, analysis of the β-cell GCK promoter should be included.
Diagnostic molecular genetic testing is available for many different monogenic forms of diabetes (1). One of the remaining clinical and scientific challenges, however, are the patients who clearly have a monogenic subtype of diabetes but are negative on screening using existing genetic tests (2,3). Genetic linkage analysis can be used to demonstrate or exclude linkage to known genes if there are sufficient family members to reach statistical significance (4).
However, many patients presenting with apparent monogenic forms of diabetes do not have large extended families to facilitate this process (4). Traditionally, the coding region and exon-intron boundaries of the gene of interest have been screened for mutations; in some cases, high levels of conservation between species have been used to identify putative regulatory regions such as promoters and enhancers for additional mutational screening (5,6).
Mutations in the gene encoding the key regulatory enzyme glucokinase (GCK) are one cause of maturity-onset diabetes of the young (MODY) subtype GCK (GCK-MODY) previously termed MODY2, which is an autosomal dominantly inherited form of non–insulin-dependent diabetes classified by the gene that is mutated (7). The phenotype of GCK-MODY has been well characterized and is distinct from other subtypes of MODY as a result of mutations in genes encoding transcription factors (8).
The heterozygous inactivating mutations seen in patients with GCK-MODY shift the set point for glucose-stimulated insulin secretion from ∼5 to ∼7 mmol/l, resulting in elevated fasting plasma glucose (FPG) levels (5.5–8.0 mmol/l) but normal 2-h plasma glucose increments (typically <4.6 mmol/l) after a 75-g oral glucose tolerance test (8). There are a number of patients fulfilling these criteria who have no abnormality of the GCK coding region (9). Tissue-specific expression of GCK is governed by two promoters, initially described as specific for pancreatic β-cells and hepatocytes but now recognized to regulate expression in a wider range of tissues (10). The rodent hepatic GCK promoter has been extensively characterized, but there are relatively few data on the transcriptional regulation of the human β-cell promoter (11).
The aim of this study was to extend our mutational screen in probands with a phenotype consistent with an abnormality of GCK that have no abnormality of the coding sequence to the β-cell GCK promoter to identify mutations that could affect GCK expression.
RESEARCH DESIGN AND METHODS
Unrelated probands of 60 families (30 from Slovakia and 30 from the U.K.) with a clinical phenotype suggesting a defect in GCK but without a mutation in the GCK coding region were included in the study. Partial or entire deletions of the GCK gene were previously excluded by multiplex ligation-dependent probe amplification (MLPA) analysis in all U.K. probands (9). Selection criteria included FPG levels ≥5.5 mmol/l, treatment by diet, oral hypoglycemic agents, or very low doses of insulin (mean dose consistently <0.3 IU · kg−1 · day−1) and detectable C-peptide levels. Eighty-five blood relatives of the six probands with the GCK pancreatic promoter mutation were subsequently contacted and invited for blood sampling and mutation testing. This study was performed with full approval of the ethics committees in Bratislava and Lubochna (Slovakia) and in the U.K., and all subjects gave informed consent.
Genetic analysis of the human β-cell GCK promoter.
DNA was isolated from peripheral blood using standard protocols. 324bp of the human pancreatic islet GCK promoter was amplified by PCR (primers available upon request). The promoter region was examined by direct sequencing on an ABI 3130 Capillary Sequencer (Applied Biosystems, Warrington, U.K.). Sequences were compared with the published sequence (NM_000162.2), using either SeqScape (version 2.1.1; Applied Biosystems) or Mutation Surveyor software (version 3.0; Softgenetics, Cambridge, U.K.). Haplotypes were constructed using microsatellites D7S3043, D7S691, D7S2428, GCK1, GCK2, D7S667, and D7S2506 that were run on an ABI 3130 analyzer. MLPA analysis was performed in the five Slovakian probands with the GCK promoter mutation using the SALSA MLPA kit P241-Bi MODY/MRC-Holland (Amsterdam, the Netherlands). Results were analyzed using GeneMarker (version 1.75; Softgenetics). To circumvent computational constraints as a result of the pedigree size, the pedigree SK R78 was divided into 40 two-generation small pods using a facility in MEGA2 (http://portal.litbio.org/registered/help/mega2/index/html) and the analyses were run in Merlin (12). The logarithm of odds (LOD) score for family SK R78 was performed applying a rare autosomal dominant inheritance model using a disease allele frequency of 0.001 and a frequency of phenocopies of 0.1%.
Biochemistry.
Fasting venous blood samples for glucose and hormonal analyses were collected into EDTA tubes (Sarstedt, Nümbrecht, Germany). Plasma glucose concentrations were measured with the glucose oxidase method (Hitachi 911, Hitachinaka, Japan). Insulin and C-peptide were determined using the Elecsys (Roche, Switzerland) chemiluminescence automatic analyzer.
β-Cell GCK promoter analysis.
Alignment of the human β-cell GCK promoter was performed using the University of California Santa Cruz (USCS) bioinformatics BLAT tool. The human β-cell promoter was analyzed for potential transcription factor binding sites by running a Matrix Search for Transcription Factor Binding Sites (MATCH) using TRANSFAC Professional (version 12.1).
Transfection constructs.
PCR primers were designed to generate five different lengths of the human GCK upstream promoter sequence (supplementary tables and figures, available in an online appendix at http//diabetes.diabetesjournal.org/cgi/content/full/db09-0070/DC1). The promoter fragments were amplified from human genomic DNA and subcloned into the pCR 2.1 TOPO vector (Invitrogen, Paisley, U.K.). Prior to cloning, DNA sequencing was performed to ensure that the β-cell GCK promoter haplotype associated with variation in FPG levels was not included (13). The fragments were subcloned into a predigested pGL3-basic luciferase reporter vector (Promega, Southampton, U.K.). The −71G>C mutation was introduced using a Quick change mutagenesis kit (Stratagene, La Jolla, CA) (supplementary Table 2). All mutations were confirmed by bidirectional sequencing.
Luciferase assay.
INS-1 cells were cultured as previously described to a density of 1 × 104 per well in 24-well tissue culture dishes 24 h before transfection (14). Cotransfection was performed using lipofectamine reagent (Invitrogen) with 580 ng pGL3 promoter construct DNA plus 20 ng pRL-TK per well, according to the manufacturer's protocol. Transfected cells were harvested after 24 h and assayed for luciferase activity in a Veritas microplate luminometer using the Dual Luciferase Reporter Assay System (Promega). The Renilla luciferase (pRL-TK) was used as a recovery marker for data normalization. Promoter data are reported as the ratio of the firefly/Renilla arbitrary units for each sample minus the value gained by the promoterless pGL3-basic vector. Each transfection experiment was carried out in triplicate on at least three independent occasions. Statistical significance was determined by two-tailed Student's t test.
Electrophoretic mobility shift assays.
Both wild-type and −71 mutant GCK promoter oligonucleotides were generated spanning the potential Sp1 binding region predicted from TRANSFAC analysis and corresponding to sequences −53 to −88bp from the transcriptional start site. An additional oligonucleotide corresponding to a known Sp1 binding site was also used as a positive control for Sp1 binding (Promega). The oligonucleotide probe sequences are provided in supplementary Table 3. Binding reactions and electrophoretic mobility shift assays were conducted as previously described (15,16). Briefly, 200 ng Sp1 protein (Promega) was incubated with 0.2–0.5 ng of α32P-labeled probe (1–5 × 104 cpm) at room temperature for 30 min. For supershift or competition analysis, the reaction mixture was preincubated with 1 μg Sp1 or USF1 antiserum (Santa Cruz Biotechnology, Heidelberg, Germany) or with 7.5 pmol (100X) unlabeled oligonucleotide probe at room temperature for 20 min prior to addition of the labeled probe.
RESULTS
Identification of a novel −71G>C GCK β-cell promoter mutation.
Screening of 60 probands with a GCK-MODY phenotype and no abnormality of the GCK coding sequence identified six (five from Slovakia and one from the U.K.) apparently unrelated individuals with a novel −71G>C mutation. This mutation was not identified in >400 ethnically matched normal chromosomes. Family testing demonstrated that the mutation cosegregated with fasting hyperglycemia (≥5.5 mmol/l) in a total of 39 affected individuals and 52 unaffected individuals across the six pedigrees (Fig. 1,A). Using a rare autosomal dominant model, the LOD score in family SK R78 alone was 5.00 that is well above the proposed guidelines for claiming statistically significant linkage with a LOD score of >3.0 (17). MLPA analysis excluded partial or entire GCK gene deletions in all six probands. Haplotype analysis in the U.K. family and in four of the Slovakian families demonstrated that the mutation had arisen independently and there was no evidence for a founder effect (Fig. 1 B). The β-cell −71G>C promoter mutation is responsible for ∼30% (5 of 17 families) of known cases of GCK-MODY in Slovakia (D.G., J.S., and I.K., unpublished data), whereas in the U.K. only one family has been identified and over 160 GCK-MODY cases with coding mutations have been identified (K.C., A.T. Hattersley, and S.E., unpublished data).
Clinical characteristics of patients with the novel promoter mutation.
The clinical characteristics of the individuals with the novel promoter mutation are summarized in Table 1. In line with other cases of GCK-MODY, all patients had fasting hyperglycemia (8). The age at diagnosis ranged from 6 to 81 years; 15 case subjects were identified following the detection of the GCK mutation in one of the six probands. In affected individuals, BMI ranged from 18.2 to 40.8 kg/m2 with a mean ± SD value of 24.6 ± 5.3 kg/m2. The majority of patients (23 of 39 [59%]) with the mutation are registered with and seen by a diabetologist.
. | GCK promoter mutation carriers . | Nonmutation carriers . | Published data on GCK mutation carriers (8) . |
---|---|---|---|
n | 39 | 52 | 245 |
Sex (male/female) | 19/20 | 17/35 | 125/120 |
Age (years) | 37.0 (8–86) | 31.0 (1–80) | 26.7 (2–79) |
BMI (kg/m2) | 24.6 (18.2–40.8) | 25.3 (19.3–36.9) | 21.1 (13.8–40.9) |
FPG (mmol/l) | 7.0 ± 1.0 | 5.1 ± 0.5 | 6.8 ± 0.8 |
. | GCK promoter mutation carriers . | Nonmutation carriers . | Published data on GCK mutation carriers (8) . |
---|---|---|---|
n | 39 | 52 | 245 |
Sex (male/female) | 19/20 | 17/35 | 125/120 |
Age (years) | 37.0 (8–86) | 31.0 (1–80) | 26.7 (2–79) |
BMI (kg/m2) | 24.6 (18.2–40.8) | 25.3 (19.3–36.9) | 21.1 (13.8–40.9) |
FPG (mmol/l) | 7.0 ± 1.0 | 5.1 ± 0.5 | 6.8 ± 0.8 |
Data are means (range) or means ± SD unless otherwise indicated.
Of these, 83% (19 of 23) are managed by diet alone, with three patients on oral hypoglycemic agents (one receiving metformin [1,000 mg/day] and two receiving sulfonylureas [Diaprel MR, twice daily]) and one patient on insulin treatment (NPH insulin [0.22 units · kg−1 · day−1]). The decision to treat these four patients was made by their referring physicians. None of these patients have had A1C values >7%, whereas A1C values on treatment are all <6.5%. FPG levels in these patients are independent of insulin dose and/or oral hypoglycemic agents used.
There were two individuals without the novel promoter mutation with diabetes. One patient, a female aged 50 years (pedigree SK R78, subject V:9) (Fig. 1,A) with a BMI 28.0 kg/m2 has several features consistent with the metabolic syndrome including hypertension (blood pressure 140/90 mmHg) and dyslipidemia (total cholesterol 5.79 mmol/l). She was diagnosed with hyperglycemia at the age of 47 years and is currently treated with metformin. The second female patient (SK R25, I:2) (Fig. 1 A) was diagnosed with diabetes at the age of 49 years and is insulin treated. No further clinical or laboratory data are available on this subject because following blood withdrawal for genetic testing the patient refused to cooperate further in the study. Based on these clinical characteristics, both of these patients have a phenotype that is consistent with classical type 2 diabetes and can be considered as phenocopies.
Activity of β-cell GCK promoter in INS-1 cells and effects of the −71G>C mutation.
To establish the appropriate promoter construct in which to study the effect of the −71G>C mutation, reporter gene constructs containing different GCK promoter fragment lengths were prepared ranging from −263bp to −1031bp with respect to the ATG start site. Luciferase activity was detectable with all GCK promoter constructs (Fig. 2 A).
Decreased expression levels were seen with fragments −618bp and −826bp suggesting the presence of repressor elements within this region. The effect of the −71G>C mutation was then analyzed using the −430bp promoter fragment that had near-maximal reporter gene expression, indicating that necessary binding sites for expression were contained in this fragment; site-directed mutagenesis was also carried out for the full length −1031bp fragment. When these constructs were analyzed, the GCK −71G>C promoter variant caused a dramatic reduction in promoter activity in the presence of the C versus G allele for both promoter lengths (P = 3.6 × 10−6 and 1.9 × 10−6 for the −430bp and −1031bp fragments, respectively) (Fig. 2 B). This provides robust evidence that the point mutation has a repressive effect on gene expression, suggesting either allele-specific recruitment of a transcriptional repressor or loss of activator binding.
Identification of potential transcription factor binding sites in the β-cell GCK promoter.
Using the USCS BLAT tool, no sequences could be identified corresponding to the −64bp to −89bp region of the human GCK promoter in the mouse or rat GCK promoters as a result of either a deletion in the rodent or an insertion in the human DNA (supplementary Fig. 1). MATCH analysis conducted on the wild-type GCK promoter identified a number of potential activator and repressor regions within the −71bp region of interest (supplementary Table 4). Identical MATCH analysis conducted on the −71 variant GCK promoter demonstrated the potential loss of the majority of these transcription factor binding sites including the transcriptional activator Sp1 (supplementary Table 4).
Sp1 binding is reduced due to the −71G>C mutation.
To demonstrate that Sp1 can indeed bind to the putative binding site located at the −71bp region of the wild-type promoter, gel shift experiments were performed. Using the wild-type oligonucleotide, two clear bands that were specific on competition with molar excess of unlabeled self or an unlabeled probe corresponding to a consensus Sp1 binding site were observed (Fig. 3 A).
The mobility of these bands matched those seen when the consensus Sp1 binding site probe was radiolabeled and used in the binding reaction (Fig. 3,B). The complexes were lost when a radiolabeled probe corresponding to the C-allele of the point mutation was used in the binding reaction; this probe also competed much less effectively when used as an unlabeled competitor (Fig. 3,A). Recruitment of Sp1 was confirmed by supershift experiments for both the Sp1 consensus probe and the −71 wild-type probe bearing the G-allele (Fig. 3 B).
DISCUSSION
In this study, we have identified the first mutation in the GCK β-cell promoter that causes elevated glucose levels as a result of decreased GCK expression in six probands: five from Slovakia and one from the U.K. The mutation cosegregated with fasting hyperglycemia in all six families with a total of 39 affected individuals (Fig. 1,A). Haplotype analysis demonstrated that the mutation had arisen independently between the U.K. and Slovakian families, with no evidence for a founder effect in the Slovakian families (Fig. 1,B). The clinical phenotype of patients with GCK-MODY attributable to a promoter mutation is indistinguishable from that caused by a mutation in the coding region of the gene (Table 1 and ref. 8). This is entirely expected as compensation will be provided by the wild-type allele (18,19).
Functional characterization of the GCK promoter clearly demonstrates that the GCK −71G>C promoter variant causes a dramatic reduction in promoter activity. Bioinformatic analysis predicted that this mutation could potentially result in the loss of transcription factor binding within the −71bp region. Allele-specific modulation of Sp1 binding was then demonstrated by the electrophoretic mobility shift assay. Sp1 has previously been demonstrated to enhance GCK transcription in gilthead sea bream (Sparus aurata) (20). In rodent studies, Sp1 has also been shown to play an integral part in the mechanisms for the transcription of several glycolytic enzymes, such as pyruvate kinase, aldolase A, and acetyl-CoA (21,–23). The results clearly show an allele-specific difference in Sp1 binding with the −71G>C mutation losing Sp1 binding capacity. This provides a clear explanation of the reduced gene expression levels associated with this novel mutation and the first evidence in humans for an essential role of Sp1 regulation in GCK expression.
The significance of this finding is that routine molecular diagnostic testing for GCK-MODY does not currently include the promoter region. Given the implications for prognosis, treatment decisions, and inheritance, it is important to identify these individuals (24). Interestingly, a comparison of the promoter sequences across species demonstrated that the sequence containing the novel mutation was absent from both the rat and mouse β-cell promoters. This is unusual because normally pathogenic mutations occur in regions that are conserved (and therefore supposed to be functionally important) across species. This observation has implications for the design of future studies evaluating the role of noncoding regions in the pathogenesis of both monogenic and multifactorial diabetes.
We have identified the first mutation in the GCK β-cell promoter in a total of 39 individuals with mild fasting hyperglycemia. This mutation has been demonstrated at the genetic and functional level to cause GCK-MODY. Our results support the inclusion of the GCK β-cell promoter region in routine diagnostic testing for GCK-MODY.
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Acknowledgments
This work was supported in Oxford by grants to A.L.G. from the Medical Research Council (MRC) (81696), Diabetes UK, the Nuffield Department of Clinical Medicine, University of Oxford, and the Oxford NIHR (National Institute for Health Research) Biomedical Research Centre Programme. This work was supported in Slovakia by research grants MZ.2005/150NEDU-01 and APVV-51-014205, BITCET, and CENDO (to I.K.). A.L.G. is an MRC New Investigator.
No potential conflicts of interest relevant to this article were reported.
Parts of this study were presented in abstract form at the 68th Scientific Sessions of the American Diabetes Association, San Francisco, California, 6–10 June 2008; at the 44th annual meeting of the European Association for the Study of Diabetes, Rome, Italy, 7–11 September 2008; and at the Diabetes UK Annual Professional Conference, Glasgow, U.K., 11–13 March 2009.
We thank Cecilia Lindgren for assistance with calculating the LOD score in family SK R78 and Barbora Gavenciakova, Alica Mitkova, and Miroslava Rabajdova for technical support.