- Short report
- Open Access
A novel mutation KCNJ11 R136C caused KCNJ11-MODY
Diabetology & Metabolic Syndrome volume 13, Article number: 91 (2021)
A young female patient, diagnosed with diabetes mellitus at the age of 28 years old in 2009, carries KCNJ11 R136C by whole exome sequencing and her daughter doesn’t carry this mutation. Bioinformatics software predicted that the 136th amino acid is highly conservative and the mutation is deleterious. KCNJ11 R136C can result in the change of channel port structure of KATP channel. So she was diagnosed as KCNJ11-MODY.
Maturity-onset diabetes of the young (MODY) is a group of clinically heterogeneous and hereditary diabetes, caused by a single-gene mutation involving in the development and function of β-cells . According to the involved genes and clinical phenotypes, 14 subtypes of MODY have been reported . KCNJ11-MODY (known as MODY13) is an autosomal dominant disorder caused by KCNJ11 gene mutations, which codes inward rectifying potassium channel (Kir)6.2. Four Kir6.2 subunits and four sulphonylurea receptor 1 (SUR1) subunits constitute KATP channel. KATP channel plays an important role in insulin secretion. Here we report a young female patient was misdiagnosed with type 2 diabetes and carried KCNJ11 p.R136C (c. 406C > T), a new mutation causing KCNJ11-MODY.
Patient and methods
The informed consent was obtained from the participants (or the child, from her mother). The study complied with Declaration of Helsinki. Regrettably, the proband is an orphan and blood samples of her parents can’t be obtained.
In 2009, the proband was diagnosed with diabetes mellitus during pregnancy when she was 28 years old. Insulin treatment was prescribed, but blood glucose was controlled poor. Caesarean section was performed at 38 weeks of gestation because of a large fetus and the newborn weighed 5500 g. She had taken metformin 1500 mg/d and acarbose 150 mg/d since 2011. Fasting blood glucose (FBG) was about 12 mmol/L and postprandial 2 h blood glucose was 16 mmol/L or so. She was admitted to our department in April 2017. Her height, weight, waist circumference and BMI were 172 cm, 73 kg, 95 cm and 24.68 kg/m2, respectively. Glycosylated Hemoglobin was 10.3% and Anti-glutamic acid decarboxylase, anti-islet-cell, and anti-insulin antibodies were all negative. Her FBG, fasting C-peptide, insulin concentration were 13.06 mmol/L, 1.49 ng/ml and 15.06 mIU/L, respectively. She was diagnosed with type 2 diabetes, and 52 IU of glargine was added. However, FBG was still above 10 mmol/L. In September 2020, retinal examinations by an ophthalmologist, urinary albumin/creatinine and electrophysiological testing of peripheral neuropathy were assessed and all of them were normal.
Whole exome sequencing (WES) and analysis
Peripheral blood samples (5 ml per individual) were drawn from the proband and her daughter. Genomic DNA was extracted according to the manufacture’s standard procedure (MagPure Buffy Coat DNA Midi KF Kit) and then single individual DNA library was built. The library was enriched 16–24 h(47 ℃) by array hybridization (Roche NimbleGen, Madison, USA), followed by elution and post-capture amplification. The products were then subjected to Agilent 2100 Bioanalyzer and BMG to estimate the magnitude of enrichment. The qualified products were pooled and quantified according different library quantities, then the single strand of library products were prepared for circularization and made DNB, finally, sequenced with PE100 + 100 on MGISEQ-2000.
To detect the potential variants, we performed bioinformatics processing and data analysis after receiving the primary sequencing data. We used previously published filtering criteria to generate “clean reads” for further analysis . We used GATK software  to detect single-nucleotide variants (SNVs) and indels. All SNVs and indels were filtered and estimated via multiple databases, including NCBI dbSNP, HapMap, 1000 human genome dataset and database of 100 Chinese healthy adults.
Sanger sequencing was performed to confirm the variants detected with whole exome sequencing. Bidirectional sequencing of the purified PCR products was performed with a 3130 XL sequencer (Applied Biosys-tem, Foster City, USA).
To predict the effect of missense variants, we used dbNSFP , which contains seven well-established in silico prediction programs [Scale-Invariant Feature Transform (SIFT), Polyphen2, LRT, MutationTaster, and PhyloP]. Pathogenic variants are assessed under the protocol issued by the American College of Medical Genetics and Genomics . The Human Gene Mutation Database was used to screen mutations reported in published studies.
WES analysis was carried out in the proband and found she carried a single variant KCNJ11 c.406C > T(p.R136C). Sanger Sequencing of KCNJ11 c.406C > T gave a negative result in her daughter (see Fig. 1).
Search for R136C mutation of KCNJ11 gene
Referring to 1000 Genomes database, ESP6500si_all database, ExAC database and Genome Aggregation Database (GnomAD), the frequency of this mutation in public population databases is extremely low (ESP6500:-, 1000 Genomes:-, EXAC: 0.000008, GnomAD: 0.000004).
Conservative property of R136C mutation in KCNJ11 gene
The mutation site of KCNJ11 R136C was analyzed for conservative property among multiple species: Phylop: conservative, GERP++ _RS: conservative. In all 28 different species, the 136th amino acids of Kir6.2 subunit are arginine, which is highly conserved (see Fig. 2) and a functionally important residue.
Prediction of pathogenicity of KCNJ11 R136C
According to the criteria for classifying pathogenic variants of the American College of Medical Genetics, the variant was considered to be likely pathogenic, Pathogenic Moderate (PM)1 + PM2 + PM3 + PM5 + Pathogenic Supporting(PP)3. According to SIFT:D, Condel:deleterious, MutationTaster:D and Polyphen2:D, this mutation can result in changes in protein function. The results of SIFT and Polyphen-2 software showed that the score of SIFT was 0 and that of Polyphen-2 was 1.
Structure prediction of Kir6.2 subunit and KATP channel carrying KCNJ11 R136C
KCNJ11 c.406C > T(p.Arg136Cys) changed the 136th amino acid from hydrophilic basic amino acid arginine with a positive charge to hydrophilic neutral amino acid cysteine, which can cause the charge distribution of the channel port. In wild-type KATP channel, Arg136 is located in a β turn at the port of the channel. So the mutation Arg136Cys may result in the change of β turn structure and further change the structure of pore portal. The real analytical structure of Kir6.2 subunit and KATP channel carrying KCNJ11 R136C predicted by computer software is shown in Fig. 3.
This paper reports a young female patient who carried KCNJ11 R136C mutation. She was considered as KCNJ11-MODY and prescribed by metformin, acarbose and glimepiride. Blood sugar control improved significantly.
KCNJ11-MODY is an autosomal dominant diabetes mellitus caused by mutations in KCNJ11 gene, first reported by Bonnefond et al. in 2012. KCNJ11 gene is located at 11p15.1, contains only one exon and encodes Kir6.2 subunit. Kir6.2 contains the binding sites of ATP and phosphatidylinositol 4,5-diphosphate, which can inhibit and activate KATP channel, respectively [7, 8]. KATP channel on pancreatic β cells couples energy metabolism and electrical activity and plays an important role in the process of insulin secretion . Under sub-stimulus glucose concentration, the membrane potential of β cell is affected by the conductance of KATP channel, maintaining the cell member potential at a hyperpolarized level. When blood glucose rises, glucose is quickly taken up by β cell and metabolized into ATP. ATP binds to KATP channel, closing the channel, depolarizing cell membrane, opening voltage-gated calcium channels, calcium ion influx and triggering insulin vesicles release.
Mutations in KCNJ11 gene affect the activity of KATP channels, causing abnormal insulin secretion in pancreatic β-cells. Activating mutation can cause a decrease in the affinity of ATP to the channel in pancreatic β cells. KATP channel can’t be closed normally under the stimulation of glucose and cell membrane continues to be in a hyperpolarized state. Extracellular Ca2+ can’t inflow and insulin can’t be secreted normally, which leads to a series of continuous and varying degrees of glucose metabolism abnormalities, including neonatal diabetes mellitus, impaired fasting glucose, impaired glucose tolerance and KCNJ11-MODY. Inactivation mutation in KCNJ11 gene can lead to continuous closure of KATP channel, continuous depolarization of β cell membrane, continuous inflow of extracellular Ca2+, excessive secretion and release of insulin, resulting in congenital hyperinsulinism hypoglycemia.
Bonnefond et al.  reported among a four-generation family of thirty-seven members, twelve members carried KCNJ11 E227K mutation: three members (aged 11–40 years old) with normal glucose metabolism, and nine members with abnormal glucose metabolism. They were diagnosed with diabetes at the age of 13–59 years old. This mutation can cause a decrease in the sensitivity of ATP to KATP channel. Before that, there were two reports about KCNJ11 mutation causing diabetes. Some patients might also be diagnosed with KCNJ11-MODY. Four members in a three-generation Japanese family carried KCNJ11 C42R and were diagnosed with diabetes, three cases of which were diagnosed at the age of 3, 22 and 26 years old. Functional identification showed that the mutant channel is less sensitive to ATP . An Italian family carrying KCNJ11 c.679G > C and c.680A > T(p.E227L) was reported, two of which can be considered as KCNJ11-MODY .
Ang et al. , Ren et al. , Li et al.  and He et al.  reported MODY13 family trees in Chinese, KCNJ11 c.392 T > C (p.I137T)、c.679G > A(E227K) 、c.602G > A(p.R201H)and c.142A > G(p.N48D), but these authors didn’t testify the function of mutant channels. Liu et al.  reported three new KCNJ11 heterozygous mutations in three MODY diabetic families: two activating mutations R27H and R192H, one inactivating mutation S116F117del. In vitro studies showed that the sensitivity of KATP channel to ATP carrying R27H or R129H is significantly reduced. The authors also pointed out that KNCJ11 mutation was measured in 3.2% of 96 Chinese families with early-onset type 2 diabetes mellitus.
Most of the reported KCNJ11-MODY patients had successfully converted from insulin to sulfonylureas, which can not only improve blood glucose, reduce medical costs, but also improve the quality of life. The key point lies in the accurate screening and effective identification of KCNJ11-MODY.
It was reported that the mutation of KCNJ11 R136 to other amino acids, such as Arg136His, Arg136Leu, can cause congenital hyperinsulinemia [18, 19], and the authors didn’t conduct functional studies on related mutations. More surprisingly, Bellann ́e-Chantelot et al.  reported that an infant with congenital hyperinsulinemia carried KCNJ11 R136C mutation. Park et al.  also reported a Korean infant with congenital hyperinsulinemia carried Arg136Cys and Ala187Val compound heterozygous mutations, but the authors didn’t describe the above two cases in detail. The function of the mutant channel wasn’t been studied. The same mutation can cause different clinical phenotype, which also reflects the clinical heterogeneity of KCNJ11 gene mutation.
Further studies are required to carry out the functional identification and related research of KCNJ11 R136C to gain a deeper understanding of the clinical heterogeneity.
Fajans SS, Bell GI. MODY: history, genetics, pathophysiology, and clinical decision making. Diabetes care. 2011;34:1878–84. https://doi.org/10.2337/dc11-0035.
Prundate S, Jungtrakoon P, Marucci A, Ludovico O, Buranasupakjorn P, Mazza T, et al. Loss-of-function mutations in APPL1 in familial diabetes mellitus. Am J Hum Genet. 2015;97:177–85. https://doi.org/10.1016/j.ajhg.2015.05.011.
Wei XM, Ju XC, Yi X, Zhu Q, Qu N, Liu TF, et al. Identification of sequence variants in genetic disease-causing genes using targeted next-generation sequencing. PLoS One. 2011;6:e29500. https://doi.org/10.1371/journal.pone.0029500.
McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20:1297–303. https://doi.org/10.1101/gr.107524.110.
Lucas FAS, Wang G, Scheet P, Peng B. Integrated annotation and analysis of genetic variants from next-generation sequencing studies with variant tools. Bioinformatics. 2012;28:421–2. https://doi.org/10.1093/bioinformatics/btr667.
Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405–24. https://doi.org/10.1038/gim.2015.30.
Cook DL, Hales N. Intracellular ATP directly blocks K+ channels in pancreatic β-cells. Nature. 1984;311:271–3. https://doi.org/10.1038/311271a0.
Shyng SL, Nichols CG. Membrane phospholipid control of nucleotide sensitivity of KATP channels. Science. 1998;282:1138–41. https://doi.org/10.1126/science.282.
Rorsman P, Ashcroft FM. Pancreatic β-cell electrical activity and insulin secretion: of mice and men. Physiol Rev. 2018;98:117–214. https://doi.org/10.1152/physrev.00008.2017.
Bonnefond A, Philippe J, Durand E, Dechaume A, Huyvaert M, Montagne L, et al. Whole-exome sequencing and high throughput genotyping identified KCNJ11 as the thirteenth MODY gene. PLoS One. 2012;7(6):e37423. https://doi.org/10.1371/journal.pone.0037423.
Yorifuji T, Nagashima K, Kurokawa K, Kawai M, Oishi M, Akazawa Y, et al. The C42R mutation in the Kir6.2(KCNJ11) gene as a cause of transient neonatal diabetes, childhood diabetes, or later-onset, apparently type 2 diabetes mellitus. J Clin Endocrinol Metab. 2005;90:3174–8. https://doi.org/10.1210/jc.2005-0096.
DAmato E, Tammaro P, Craig TJ, Tosi A, Giorgetti R, Lorini R, et al. Variable phenotypic spectrum of diabetes mellitus in a family carrying a novel KCNJ11 gene mutation. Diabet Med. 2008;25:651–6. https://doi.org/10.1111/j.1464-5491.2008.02443.x.
Ang SF, Lim SC, Tan CSH, Fong JCW, Kon WYC, Lian JX, et al. A preliminary study to evaluate the strategy of combining clinical criteria and next generation sequencing (NGS) for the identification of monogenic diabetes among multi-ethnic Asians. Diabetes Res Clin Pract. 2016;119:13–22. https://doi.org/10.1016/j.diabres.2016.06.008.
Ren L, Yan YS, Zhang HJ, Wang SN, Li YY, Li YM. Clinical and molecular genetic analysis of a patient with maturity onset diabetes of the young type 13: a case report. Chin J Diabetes. 2019;27:941–5. https://doi.org/10.3969/j.issn.1006-6187.
Li LT, Hou XG, Qin J, Liang K, Ren JM. A case report of maturity-onset diabetes of the young 13. J Shangdong Univ (Health Sci). 2020;58:71–5. https://doi.org/10.6040/j.issn.1671-7554.0.2019.1283.
He BB, Li X, Zhou ZG. Continuous spectrum of glucose dysmetabolism due to the KCNJ11 gene mutationcase reports and review of the literature. J Diabetes. 2020;13:19–32. https://doi.org/10.1111/1753-0407.13114.
Liu LM, Nagashima K, Yasuda T, Liu YJ, Hu HR, He G, et al. Mutations in KCNJ11 are associated with the development of autosomal dominant, early-on-set type 2 diabetes. Diabetologia. 2013;56:2609–18. https://doi.org/10.1007/s00125-013-3031-9.
Sherif EM, Abdelmaksoud AA, Elbarbary NS, Njølstad PR. An Egyptian case of congenital hyperinsulinism of infancy due to a novel mutation in KCNJ11 encoding Kir62 and response to octreotide. Acta Diabetol. 2013;50:801–5. https://doi.org/10.1007/s00592-010-0217-1.
Suchi M, MacMullen CM, Thornton PS, Adzick NS, Ganguly A, Ruchelli ED, et al. Molecular and immunohistochemical analyses of the focal form of congenital hyperinsulinism. Mod Pathol. 2006;19:122–9. https://doi.org/10.1038/modpathol.3800497.
Bellanné-Chantelot C, Saint-Martin C, Ribeiro MJ, Vaury C, Verkarre V, Arnoux JB, et al. ABCC8 and KCNJ11 molecular spectrum of 109 patients with diazoxide-unresponsive congenital hyperinsulinism. J Med Genet. 2010;47:752–9. https://doi.org/10.1136/jmg.2009.075416.
Park SE, Flanagan SE, Hussain K, Ellard S, Shin CH, Yang SW. Characterization of ABCC8 and KCNJ11 gene mutations and phenotypes in Korean patients with congenital hyperinsulinism. Eur J Endocrinol. 2011;164:919–26. https://doi.org/10.1530/EJE-11-0160.
No funding was received.
This research was approved by 1EC, the sixth medical center of PLA General Hospital (Former Navy General Hospital). Permitted NO: HZKY-PJ-2021-20.
Consent for publication
All authors consent to publish this paper in Diabetology & Metabolic Syndrome.
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Chen, Y., Hu, X., Cui, J. et al. A novel mutation KCNJ11 R136C caused KCNJ11-MODY. Diabetol Metab Syndr 13, 91 (2021). https://doi.org/10.1186/s13098-021-00708-6
- KATP channel
- Diabetes mellitus