logo
Original articles

Mutation search within monogenic diabetes genes in Polish patients with long-term type 1 diabetes and preserved kidney function

Jerzy Hohendorff1,2*, Magdalena Kwiatkowska1,2*, Dorota Pisarczyk-Wiza3, Agnieszka Ludwig-Słomczyńska4, Magdalena Milcarek3, Przemysław Kapusta4, Barbara Zapała5, Beata Kieć-Wilk1,2, Iwona Trznadel-Morawska1,2, Magdalena Szopa1,2, Dorota Zozulińska-Ziółkiewicz3, Maciej T. Małecki1,2
1 Department of Metabolic Diseases, Jagiellonian University Medical College, Kraków, Poland
2 University Hospital in Krakow, Kraków, Poland
3 Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznań, Poland
4 Center for Medical Genomics OMICRON, Jagiellonian University Medical College, Kraków, Poland
5 Department of Clinical Biochemistry, Jagiellonian University Medical College, Kraków, Poland
* JH and MK contributed equally to this work.
DOI: 10.20452/pamw.16143
Published online: November 26, 2021.
Key words: maturity-onset diabetes of the young, microvascular complications, next-generation sequencing, type 1 diabetes
CCBYNCSACC BY-NC-SA 4.0

In this article
Abstract

Introduction: Some patients with type 1 diabetes (T1DM) are free from advanced complications despite long‑standing disease. These patients may be carriers of gene mutations responsible for maturity‑onset diabetes of the young and may have been misdiagnosed with T1DM.

Objectives: We aimed to determine the clinical characteristics of patients with long‑term T1DM, without advanced microvascular complications, and with well‑preserved kidney function. A search for mutations in monogenic diabetes genes was performed.

Patients and methods: Patients were recruited at 2 Polish university centers based on the following criteria: T1DM duration of 40 years or longer and absence of advanced complications defined as chronic kidney disease (estimated glomerular filtration rate [eGFR] <⁠60 ml/min/1.73 m2), overt proteinuria, blindness, and diabetic foot syndrome. Mutations in the 7 most frequent monogenic diabetes genes were identified using next‑generation sequencing.

Results: We enrolled 45 patients with T1DM (mean [SD] age at examination, 59.2 [8.0] years; mean [SD] age at T1DM diagnosis, 14.6 [6.7] years). Mean (SD) hemoglobin A1c levels were 7.6% (1.4%); daily insulin dose, 0.48 (0.17) U/kg; high‑density lipoprotein (HDL) cholesterol levels, 1.9 (0.6) mmol/l; body mass index (BMI), 26.4 (5.0) kg/m2; and eGFR, 82.2 (12.1) ml/min/1.73 m2. Albuminuria and retinopathy were reported in 7 and 39 patients, respectively. We were not able to assign a causative role to any of 10 genetic variants identified by next‑generation sequencing in this cohort.

Conclusions: Patients with long‑term T1DM and preserved kidney function have good glycemic control, elevated HDL cholesterol levels, low insulin requirements, near‑normal BMI, and a rare occurrence of mutations in monogenic diabetes genes.

What's new?

This study is the first to determine the clinical characteristics of Polish patients with long‑term type 1 diabetes and preserved kidney function in comparison with data from the Joslin 50‑year Medalist Study and the Golden Years Cohort. In addition, patients were screened for mutations in monogenic diabetes genes. The study revealed that this highly selected group of patients was characterized by elevated levels of high‑density lipoprotein cholesterol, near‑normal body mass index, and low insulin requirements, while mutations within monogenic diabetes genes seemed to be rare.

Introduction

The average life expectancy of patients with type 1 diabetes (T1DM) has increased significantly over the last decades.1 However, recent studies have reported an estimated loss in life expectancy of 11 to 13 years in patients with T1DM as compared with the general population.2,3 Moreover, cardiovascular disease remains the most common cause of death in these patients.4-6 Risk factors for cardiovascular disease in this population include microvascular complications, age, diabetes duration, body mass index (BMI), hemoglobin A1c (HbA1c), hypertension, and dyslipidemia.7,8 The number and severity of microvascular complications were shown to be associated with an increased rate of all‑cause mortality and cardiovascular events. Among these complications, chronic kidney disease seems to be the greatest risk factor for excess mortality.9,10

Although the available evidence supports potential benefits from using new insulins and technologies in diabetes management, numerous patients with T1DM still experience chronic microvascular complications that adversely affect their life expectancy and quality of life.11,12 However, not all patients with long‑term T1DM develop advanced microangiopathy, as reported in the Joslin 50‑years Medalist Study and Golden Years Cohort.13,14 This suggests that there may be some genetic and environmental factors that protect patients against microvascular complications. One of the possible factors is an elevated level of high‑density lipoprotein (HDL) cholesterol,15,16 while the others include normal BMI, lack of hypertension, low insulin requirement, HbA1c near the treatment target (about 7%), and a family history of longevity.15 Another possible protective factor is preserved insulin secretion. It was also hypothesized that the population of patients with long‑term T1DM without advanced complications may include individuals with monogenic diabetes, especially maturity‑onset diabetes of the young (MODY),16 misdiagnosed as T1DM. The percentage of undiagnosed MODY in this specific group of patients is higher than in the general population of patients with T1DM.16 In support of this hypothesis, published estimates showed that monogenic diabetes was misdiagnosed as T1DM or type 2 diabetes (T2DM) in the vast majority of cases (90%).17 Both patients with monogenic diabetes and those with T1DM are usually slim and young at the time of diagnosis. Another supporting piece of evidence is that chronic complications are almost absent in glucokinase MODY (GCK-MODY).18,19 They are also less prevalent and less severe in the other forms of MODY, such as the most frequent MODY3 caused by a mutation in the hepatocyte nuclear factor‑1α gene, HNF1A.18,19 In fact, in the Medalist Study, almost 8% of T1DM patients with a disease duration of 50 years were suspected to have monogenic diabetes.16

The aim of the present study was to determine the clinical characteristics of patients with long‑term T1DM without advanced microvascular complications, with a particular focus on individuals with well‑preserved kidney function. Additionally, patients were screened for mutations within a set of monogenic diabetes genes.

Patients and methods

Patients

Patients diagnosed with T1DM were recruited at 2 Polish university hospitals in Kraków and Poznań. The inclusion criteria were as follows: T1DM duration of at least 40 years and absence of advanced complications defined as chronic kidney disease with an estimated glomerular filtration rate (eGFR) lower than 60 ml/min/1.73 m2, overt proteinuria or previous kidney transplant, blindness in at least 1 eye, and diabetic foot syndrome (currently or in the past). After completing a standard questionnaire, all patients underwent physical examination. We collected data on sex, age at examination, age of diagnosis, weight, height, waist‑to‑hip ratio, blood pressure, daily dose of insulin, medication use, family history of diabetes, presence of chronic microvascular and macrovascular complications as well as comorbidities, and history of smoking. Fasting blood and first‑pass urine samples were obtained for laboratory tests, including the measurement of urinary albumin‑to‑creatinine ratio and the levels of HbA1c, C‑peptide, creatinine, lipids, and high‑sensitivity C‑reactive protein.

Clinical retinal examination was performed by a trained ophthalmologist. Peripheral polyneuropathy was assessed using a 10‑gram monofilament for tactile sensation, 128‑Hz tuning forks for vibration sensation, and a rod with 2 different ends for temperature sensation. Polyneuropathy was diagnosed if 2 or more of the following criteria were met: the presence of symptoms, lack of the ankle reflex, and impaired sensation of touch, temperature, and / or vibration.20

Genetic testing

Next‑generation sequencing was used for detecting mutations in a set of selected monogenic diabetes genes.21 Genomic DNA was extracted, libraries prepared, and data processed as described in detail previously.21 We evaluated 7 genes that are the most frequent causes of monogenic diabetes (GCK, HNF1A, HNF4A, HNF1B, ABCC8, KCNJ11, and INS) for potentially pathogenic variants, in line with a recent French study.22 Variant scoring was based on the American College of Medical Genetics and Genomics (ACMG) guidelines. To predict the pathogenicity of the variants, the VarSome engine was used.23,24

Ethical approval

The study was approved by the Bioethics Committee of Jagiellonian University Medical College in Kraków, Poland, and conducted in accordance with the 1975 Declaration of Helsinki, with subsequent revisions. All patients gave written informed consent to participate in the study.

Statistical analysis

The parametric t test or the nonparametric U test was performed, as applicable, to describe the clinical characteristics of patients and differences between individuals with or without diagnosed proliferative retinopathy. For nominal variables, the Fisher exact test was used. A multivariable logistic regression analysis was performed to identify factors associated with the presence of proliferative retinopathy and / or albuminuria. The parameters used to build the multivariable model included sex, age at onset, duration of diabetes, BMI, daily insulin dose, HbA1c, hypertension, smoking, family history of diabetes, and the levels of C‑peptide, low‑density lipoprotein (LDL) cholesterol, HDL cholesterol, and triglycerides. A separate analysis was performed to examine the factors associated with macrovascular complications, such as previous myocardial infarction and / or stroke. In addition to the parameters listed above, the multivariable model in this analysis included also a number of microvascular complications (proliferative retinopathy, albuminuria, and peripheral polyneuropathy). Statistical analysis was performed using Statistica, version 13 (TIBCO Software Inc, Palo Alto, California, United States). A P value of less than 0.05 was considered significant.

Results

The study included 45 patients with T1DM (29 women and 16 men) with a mean (SD) age at examination of 59.2 (8.0) years and a mean (SD) age at diabetes onset of 14.6 (6.7) years. The mean (SD) BMI in the study group was 26.4 (5.0) kg/m2. Moreover, patients had good glycemic control with a mean (SD) HbA1c level of 7.6% (1.4%) (mean [SD], 59.3 [15.1] mmol/mol) and a mean (SD) daily insulin dose of 0.48 (0.17) units/kg. The mean (SD) eGFR was 82.2 (12.1) ml/min/1.73 m2. Albuminuria was reported in 7 patients. There were no cases of overt proteinuria. Retinopathy was found in 39 participants (nonproliferative in 7 and proliferative in 32). Consistent with the inclusion criteria, there were no cases of blindness. Peripheral polyneuropathy was present in 24 participants. Cardiovascular disease, defined as coronary artery disease, stroke, or peripheral artery disease, was diagnosed in 20 individuals based on medical records. The clinical and biochemical characteristics of patients are shown in Table 1. The independent risk factors for proliferative retinopathy and / or albuminuria, identified by a backward stepwise elimination procedure, included T1DM duration (odds ratio [OR], 1.25; 95% CI, 1.02–1.53) and LDL cholesterol levels (OR, 2.83; 95% CI, 1.05–7.65). The only independent factor associated with myocardial infarction and / or stroke was smoking (OR, 2.83; 95% CI: 1.05–7.65).

Table 1. Clinical and biochemical characteristics of the study group
Parameter
Study group (n = 45)
Retinopathy
P value
No / Nonproliferative (n = 13)
Proliferative (n = 32)
a P values were derived from the U test. In the remaining cases, P values were derived from the Fisher exact test or the test.
Data are presented as mean (SD) or median (interquartile range) unless indicated otherwise.
Abbreviations: ACEI, angiotensin‑converting‑enzyme inhibitor; ARB, angiotensin II receptor blocker; ASA, acetylsalicylic acid; BMI, body mass index; CAD, coronary artery disease; hs‑CRP, high‑sensitivity C‑reactive protein; CVD, cardiovascular disease; DBP, diastolic blood pressure; DDI, daily dose of insulin; eGFR, estimated glomerular filtration rate; HbA1c, hemoglobin A1c; HDL, high‑density lipoprotein; LDL, low‑density lipoprotein; MI, myocardial infarction; PAD, peripheral artery disease; SBP, systolic blood pressure
Sex, n (%)
Male
16 (35.6)
4 (8.9)
12 (26.7)
0.74
Female
29 (64.4)
9 (20.0)
20 (44.4)
Age, y
59.2 (8.0)
58.7 (7.2)
59.4 (8.5)
0.78
Age of diabetes onset, y
14.6 (6.7)
16.0 (5.3)
14.1 (7.1)
0.38
Diabetes duration, y
44.5 (41.0–47.0)
42.7 (40.0–45.0)
45.4 (41.5–47.5)
0.12a
Family history of diabetes, n (%)
Yes
16 (35.5)
2 (4.4)
14 (31.1)
0.09
No
29 (64.4)
11 (24.4)
18 (40.0)
BMI, kg/m2
26.4 (5.0)
24.9 (3.9)
27.1 (5.4)
0.19
Waist‑to‑hip ratio
Male
0.94 (0.07)
0.90 (0.07)
0.95 (0.06)
0.21
Female
0.85 (0.09)
0.84 (0.05)
0.86 (0.10)
0.73
HbA1c, %
7.3 (6.7–8.4)
7.1 (6.7–8.2)
7.4 (6.7–8.5)
0.80a
HbA1c, mmol/mol
56.8 (50.0–67.8)
54.1 (49.7–66.1)
57.4 (50.8–68.3)
0.80a
DDI, U
33.0 (13.5)
32.5 (12.4)
34.6 (14.0)
0.63
DDI, U/kg
0.48 (0.17)
0.47 (0.15)
0.49 (0.18)
0.82
HDL cholesterol, mmol/l
1.7 (1.4–2.3)
2.0 (1.7–2.5)
1.7 (1.4–2.2)
0.25a
LDL cholesterol, mmol/l
2.6 (0.8)
2.3 (0.9)
2.7 (0.8)
0.14
Triglycerides, mmol/l
1.0 (0.7–1.3)
0.9 (0.6–1.3)
1.1 (0.8–1.3)
0.13a
Hs‑CRP, ug/ml
1.5 (0.6–3.3)
3.3 (0.4–4.8)
1.4 (0.7–3.0)
0.70a
C‑peptide, ng/ml
0.03 (0.01–0.05)
0.04 (0.02–0.06)
0.03 (0.01–0.04)
0.17a
eGFR, ml/min/1.73m2
82.2 (12.1)
81.0 (12.2)
82.8 (2.2)
0.67
Albuminuria, n (%)
Yes
7 (15.5)
0
7 (15.5)
0.09
No
38 (84.4)
13 (28.9)
25 (55.5)
Peripheral polyneuropathy, n (%)
Yes
24 (53.3)
5 (11.1)
19 (42.2)
0.32
No
21 (46.7)
8 (17.8)
13 (28.9)
Smoking (current or past), n (%)
Yes
6 (13.3)
1 (2.2)
5 (11.1)
0.66
No
39 (86.7)
12 (26.7)
27 (60.0)
Hypertension, n (%)
Yes
31 (68.9)
8 (17.8)
23 (51.1)
0.50
No
14 (31.1)
5 (11.1)
9 (20.0)
SBP, mmHg
125 (120–136)
130 (123–138)
125 (119–135)
0.26a
DBP, mmHg
70 (66–80)
78 (70–80)
70 (65–75)
0.049a
CVD, n (%)
Yes
20 (44.4)
4 (8.9)
16 (35.6)
0.33
No
25 (55.6)
9 (20.0)
16 (35.6)
Stroke, n (%)
Yes
3 (6.7)
1 (2.2)
2 (4.4)
>0.99
No
42 (93.3)
12 (26.7)
30 (66.7)
CAD, n (%)
Yes
17 (37.8)
3 (6.7)
14 (31.1)
0.31
No
28 (67.2)
10 (22.2)
18 (40.)
MI, n (%)
Yes
7 (15.6)
1 (2.2)
6 (13.3)
0.65
No
38 (84.4)
12 (26.7)
26 (57.8)
PAD, n (%)
Yes
4 (9.1)
1 (2.3)
3 (6.8)
>0.99
No
40 (90.9)
11 (25.0)
29 (65.9)
ACEIs/ARBs, n (%)
Yes
34 (77.3)
8 (18.2)
26 (59.1)
0.13
No
10 (22.7)
5 (11.4)
5 (11.4)
ASA, n (%)
Yes
26 (59.1)
7 (15.9)
19 (43.2)
0.74
No
18 (40.9)
6 (13.6)
12 (27.3)
Statins, n (%)
Yes
35 (79.5)
11 (25.0)
24 (54.5)
0.70
No
9 (20.5)
2 (4.5)
7 (15.9)

The next‑generation sequencing analysis identified 9 patients as carriers of 10 variants in the 7 analyzed genes; 1 patient was a carrier of 2 variants. The identified variants are summarized in Table 2, while the detailed clinical characteristics of mutation carriers are presented in Table 3.

Table 2. Summary of the identified variants in monogenic diabetes genes
Patient ID
Type
Gene
Exon
Codon_change
aa_change
VarSome prediction
VarSome predicted pathogenicity
6KL
snp
ABCC8
35
Gcc/Acc
p.Ala1410Thr/c.4228G>A
PM1, PM2, PP2, PP3
Likely pathogenic
21WM
snp
ABCC8
38
Cgc/Tgc
p.Arg1530Cys/c.4588C>T
PM1, PM2, PP2, PP3
Likely pathogenic
11ZT
indel
ABCC8
25
tgc/tgcCT
p.Ser1051fs/c.3150_3151insCT
PVS1, PM1, PM2, PPS3
Pathogenic
20FJ
snp
ABCC8
15
N/A
c.2117–1G>C
PVS1, PM2, PP3, PP5
Pathogenic
19MZ
snp
ABCC8
21
Gtt/Att
p.Val849Ile/c.2545G>A
PM1, PM2, PP2, BP4
Uncertain significance
37JA
snp
GCK
9
caC/caA
p.His380Gln/c.1140C>A
PVS1, PM2, BP4
Likely pathogenic
23SM
snp
GCK
2
gaG/gaT
p.Glu22Asp/c.66G>T
PM1, PM2, PP2, PP3
Likely pathogenic
23SM
snp
HNF1B
4
Cac/Gac
p.His336Asp/c.1006C>G
PM1, PM5, PP2, PP3, BS1. BS2
Uncertain significance
30CH
snp
HNF1B
4
Cac/Gac
p.His336Asp/c.1006C>G
PM1, PM5, PP2, PP3, BS1. BS2
Uncertain significance
46SM
snp
HNF1A
9
cGg/cAg
p.Arg583Gln/c.1748G>A
PM5, PP2, PP3, BS1, BS2, BS3
Benign
Table 3. Clinical and biochemical characteristics of the carriers of variants in monogenic diabetes genes
Patient ID
Gene
Sex
Age at diagnosis, y
Age at examination, y
BMI, kg/m2
HbA1c, %
C‑peptide, ng/ml
DDI, U/kg
eGFR, ml/min/1.73 m2
Chronic complications
Family history of diabetes
Abbreviations: F, female; M, male; NPDR, nonproliferative diabetic retinopathy; PDR, proliferative diabetic retinopathy; others, see Table 1
6KL
ABCC8
F
8
53
20.0
7.1
0.029
0.58
80
None
Father, mother
21WM
ABCC8
F
16
60
34.0
7.4
0.039
0.36
86
PDR, peripheral polyneuropathy
Mother
11ZT
ABCC8
F
18
63
26.0
4.9
0.01
0.14
79
PDR, peripheral polyneuropathy
No
20FJ
ABCC8
F
14
60
20.4
7.0
0.038
0.42
62
NPDR, peripheral polyneuropathy
No
19MZ
ABCC8
M
19
64
21.3
6.1
0.035
0.55
83
PDR, peripheral polyneuropathy
Sibling
37JA
GCK
F
20
60
27.8
5.8
0.042
0.53
95
PDR
No
23SM
GCK
F
23
70
22.5
7.4
0.01
0.58
73
PDR
Sibling
23SM
HNF1B
F
23
70
22.5
7.4
0.01
0.58
73
PDR
Sibling
30CH
HNF1B
F
12
64
29.4
8.7
0.01
0.71
92
PDR, peripheral polyneuropathy
Sibling
46SM
HNF1A
F
19
59
24.7
9.5
0.1
0.67
99
NPDR, peripheral polyneuropathy
No

Five variants were found in the ABCC8 gene, including 2 missense mutations classified as likely pathogenic. The first mutation was a new Ala1410Thr variant found in a woman aged 8 at diagnosis and 53 at the time of the examination. She was on a rather low dose of insulin (26 U/d), and her glycemic control was good with an HbA1c level of 7.1% (54.1 mmol/l). Her BMI was 20.0 kg/m2. She was free from diabetic complications. Both her parents (aged 82 at the time of the study) were diagnosed with T2DM; however, they refused genetic testing. The other missense mutation, Arg1530Cys, was found in a female patient diagnosed with T1DM at the age of 16. At the time of examination, she was 60 years old, and she received intensive insulin therapy (multiple daily injections), with a daily insulin requirement of 31 units combined with metformin due to obesity. She also developed proliferative retinopathy. The Arg1530Cys missense mutation is also present in the ClinVar database (https://www.ncbi.nlm.nih.gov/clinvar/) with uncertain significance annotation. However, our patient and her family were unavailable for further evaluation.

There were 2 new null variants in the ABCC8 gene in our cohort, one frameshift (Ser1051fs/c.3150_3151insCT) and one splicing (c.2117‑1G>C). Finally, the ABCC8 Val849Ile variant detected in a single patient was classified as a sequence difference of uncertain significance according to the ACMG criteria.

Next, we found 2 missense variants in the GCK gene classified as likely pathogenic. One of them, a newly identified missense mutation, Glu22Asp, was observed in a female patient who was also a carrier of the HNF1B His336Asp variant. The other one, the His380Gln mutation, was previously reported but without data on the frequency and clinical significance.25 Both female carriers were characterized by an insulin requirement typical for T1DM (daily dose of insulin, 35 U/d and 40 U/d, respectively) and good glycemic control (HbA1c, 7.4% [57.4 mmol/mol] and 5.8% [39.9 mmol/mol], respectively). They also developed proliferative retinopathy requiring laser therapy, and their C‑peptide levels were barely detectable (<⁠0.1 ng/ml) at the time of examination.

We also detected an rs138986885 sequence difference corresponding to the His336Asp missense mutation in the HNF1B gene in 2 unrelated participants. This was classified as a variant of uncertain significance.

Finally, an rs137853242 variant was found in the HNF1A gene corresponding to the missense mutation Arg583Gln in exon 9. The female carrier of the rare Gln variant was diagnosed with T1DM at the age of 19, and her age at examination was 59. Her current C‑peptide levels were almost undetectable (0.1 ng/ml), and her HbA1c level was 9.5% (80.3 mmol/mol).

Discussion

This study reports the clinical, biochemical, and genetic characteristics of a highly selected group of Polish patients with long‑term T1DM. Because our population included only patients without advanced microvascular complications, it is not representative for individuals with T1DM in general. In particular, all participants had an eGFR higher than 60 ml/min/1.73 m2, and albuminuria (but not overt proteinuria) was present in only 7 of the 45 patients. Previous studies reported a potential association between genetic factors and the risk of all microvascular complications in patients with T1DM,26,27 while the genetic background of diabetic nephropathy is well determined.28-30 It seems that some patients with T1DM do not develop diabetic nephropathy despite long‑term glycemic exposure. The German Diabetes Documentation System reported any retinopathy in more than 80% of individuals with diabetes duration longer than 40 years.31 Although most of our study participants were diagnosed with either nonproliferative or proliferative retinopathy, no case of blindness was observed, which is consistent with the study entry criteria. In the Medalist Study, the diagnosis of retinopathy was reported in 53.4% of patients.13 Peripheral polyneuropathy was also common, as it was diagnosed in more than half of participants. This is in line with findings from a population‑based cohort study by Dyck et al.32 Unlike diabetic nephropathy, both retinopathy and neuropathy seem to depend more on environmental factors, such as glycemic exposure, than on hereditary factors.

Interestingly, in our highly selected population of patients with T1DM and well‑preserved kidney function, there was no association between the HbA1c level and proliferative retinopathy or albuminuria. This may be explained by the fact that HbA1c levels were measured at a single time point, and no long‑term data on glycemic control were available. Moreover, the mean HbA1c level was relatively close to the recommended target. Of note, the Medalist Study did not report such an association either.13 Our findings of high HDL cholesterol levels, low insulin requirement, and near‑normal BMI as potential factors protecting against advanced complications and premature death are also in line with the results of the Medalist Study and the Golden Years Cohort (Table 4).13-15 In those studies, HDL cholesterol levels were higher by about 0.3 mmol/l than those reported in a population‑based study by Eeg‑Olofsson et al.33 High HDL cholesterol levels are known to have a strong genetic background and to be associated with lower cardiovascular risk.34-36 Of note, while most of our patients were on statins, this class of lipid‑lowering drugs seems to have limited impact on the HDL cholesterol level in autoimmune diabetes.37,38

Table 4. Clinical and biochemical characteristics of patients in the current study vs the Joslin 50‑Year Medalist Study and the Golden Years Cohort
Parameter
Polish cohort
Joslin 50‑Year Medalist Study13
Golden Years Cohort14
Data presented as means unless indicated otherwise.
a Median
Abbreviations: see Table 1
No. of participants
45
326
400
Male sex, %
55
45.3
54
Age at diagnosis, y
14.6
12.6
13.7
Age at examination, y
59.2
69.5
68.9
Diabetes duration, y
44.6
57.1
55.8
BMI, kg/m2
26.4
24.5
25.0
HbA1c, %
7.6
7.0a
7.6
DDI, U/kg
0.48
0.50
0.52
Triglycerides, mmol/l
1.1
1.49
HDL cholesterol, mmol/l
1.9
1.75
1.84
LDL cholesterol, mmol/l
2.6
Hypertension, %
69
51
Proliferative retinopathy, %
71.1
48.1
Creatinine, µmol/l
77
125
eGFR, ml/min/1.73 m2
82.2
Albuminuria, %
16
35
Neuropathy, %
62.2
53.1
Smoking (current or past), %
13
64
CAD, %
38
34
MI / stroke, %
22.2

It was reported that patients with an established diagnosis of T1DM and a positive family history of diabetes are frequently misdiagnosed and the actual disease is MODY. For example, a study assessing participants in the Czech T1DM Prediction Programme revealed a significant proportion of MODY in families where at least 2 family members were affected by diabetes and the proband had an initial clinical diagnosis of T1DM. The authors reported MODY in 45% of families with multiple occurrences of diabetes.39 Genetic testing performed within the expanded Joslin Medalist Study in a group of patients with long‑duration T1DM showed that almost 8% of the population were carriers of a likely pathogenic variant in monogenic diabetes genes.16 In our study, a positive family history of diabetes was reported by 16 of the 45 individuals. Overall, we identified 10 variants, but we were not able to confirm that any of them had a causative role in the disease. The Arg1530Cys variant was previously reported in the Norwegian cohort of children with a clinical diagnosis of T1DM but absence of T1DM‑related autoantibodies.40 Functional analyses performed in that study suggested that the variant was involved in the pathogenesis of diabetes in the carrier. However, sulfonylurea treatment was unsuccessful, most probably due to the fact that the patient developed autoimmune diabetes.40

Next, the Arg1530Cys missense mutation was present in the ClinVar database with an annotation of uncertain significance. The 2 null variants in the ABCC8 gene found in our patients were not the cause of diabetes, because the biallelic null variants in this gene cause hyperinsulinism, and not diabetes. Therefore, diabetic individuals heterozygous for the ABCC8 null variant detected by next‑generation sequencing were incidental carriers of hyperinsulinism.41 Additionally, the presence of the Val849Ile variant in 4 heterozygotes in the gnomAD database (rs770722134) suggests that it is likely a benign or a recessive hyperinsulinism variant. Overall, it was an unlikely cause of diabetes in our patient. It is also unlikely that GCK-MODY was the only etiology of the disease in our carriers of the GCK variants. However, we cannot exclude that T1DM was superimposed on monogenic GCK-related diabetes. The rare His336Asp variant in the HNF1B gene was reported in a Spanish pediatric cohort with diabetes and negative autoimmunity.42 This variant was also reported in patients with kidney disorders but not diabetes.43 The Arg583Gln variant was initially described as a likely causative mutation in T2DM or MODY cohorts.44-46 However, more recent studies did not confirm its pathogenicity—it was also present in a nondiabetic population at a frequency of 2% to 3%.47,48

Of note, half of the variants detected in our study occurred in the ABCC8 gene. This large gene containing 39 exons was previously described as highly polymorphic, which makes it difficult to interpret the identified variants in the context of diabetes.41 Unless there is clear evidence for the presence of neonatal diabetes, MODY‑like diabetes with sensitivity to sulfonylurea treatment, or sufficient cosegregation with diabetes in the patient or family members, the novel ABCC8 missense variants should not be reported as causative ones. Therefore, in the absence of additional supporting clinical information, the 3 missense ABCC8 variants identified in our study should be considered as of uncertain significance and should not be reported as the cause of diabetes. The confirmation of monogenic diabetes in such patients might be important for possible modification of treatment and the introduction of sulfonylurea therapy.49 Still, it is unlikely that switching from insulin therapy to oral hypoglycemic agents would be successful in patients with a diabetes duration of more than 40 years, even if monogenic diabetes was confirmed.50 Detecting monogenic diabetes is also important for predicting the course of diabetes in subsequent generations, including the early institution of targeted therapy.

Our study has several limitations. First, the sample size was small in comparison with the 50‑Years Medalist Study and the Golden Years Study. Second, diabetes duration in our cohort was shorter by 10 years compared with the 2 other studies. Third, our patients were not assessed for the presence of human leukocyte antigen genotypes for the risk of T1DM or the presence of T1DM autoantibodies. Fourth, the different types of cardiovascular disease were diagnosed on the basis of medical records and questionnaires. Finally, as there was no control group, the presence of variants in monogenic diabetes genes was not tested in the general T1DM population.

In conclusion, patients with long‑term T1DM and well‑preserved kidney function were characterized by good glycemic control, high HDL cholesterol levels, low insulin requirement, and near‑normal BMI. Factors associated with proliferative retinopathy and / or albuminuria included diabetes duration and LDL cholesterol levels. The only factor associated with a composite cardiovascular end point (myocardial infarction and / or stroke) was smoking. Mutations in monogenic diabetes genes were rare in our population.

Acknowledgments: We would like to thank Dr. Kevin Colclough (Royal Devon & Exeter Hospital) for his valuable comments.
Funding: The study was funded by a grant from Jagiellonian University Medical College (no. K/ZDS/005596; to MS).
Contribution statement: MTM contributed to study concept and design. JH, MK, DP‑W, MM, BZ, BK‑W, MS, and DZ‑Z contributed to data acquisition. JH, PK, and MTM contributed to data analysis and interpretation. JH and MTM drafted the manuscript. AL‑S and DZ‑Z were responsible for critical revision of the manuscript. All authors approved the final version of the manuscript.
Conflict of interest: None declared.
References
  1. Ioacara S, Lichiardopol R, Ionescu‑Tirgoviste C, et al. Improvements in life expectancy in type 1 diabetes patients in the last six decades. Diabetes Res Clin Pract. 2009; 86: 146‑151. | Crossref
  2. Huo L, Harding JL, Peeters A, et al. Life expectancy of type 1 diabetic patients during 1997‑2010: a national Australian registry‑based cohort study. Diabetologia. 2016; 59: 1177‑1185. | Crossref
  3. Livingstone SJ, Levin D, Looker HC, et al. Estimated life expectancy in a Scottish cohort with type 1 diabetes, 2008‑2010. JAMA. 2015; 313: 37‑44. | Crossref
  4. Petrie D, Lung TW, Rawshani A, et al. Recent trends in life expectancy for people with type 1 diabetes in Sweden. Diabetologia. 2016; 59: 1167‑1176. | Crossref
  5. Lind M, Svensson AM, Kosiborod M, et al. Glycemic control and excess mortality in type 1 diabetes. N Engl J Med. 2014; 371: 1972‑1982. | Crossref