Figures
Abstract
Maternally Inherited Diabetes and Deafness (MIDD) is a rare form of diabetes due to defects in mitochondrial DNA (mtDNA). 3243 A>G is the mutation most frequently associated with this condition, but other mtDNA variants have been linked with a diabetic phenotype suggestive of MIDD. From 1989 to 2009, we clinically diagnosed mitochondrial diabetes in 11 diabetic children. Diagnosis was based on the presence of one or more of the following criteria: 1) maculopathy; 2) hearing impairment; 3) maternal heritability of diabetes/impaired fasting glucose and/or hearing impairment and/or maculopathy in three consecutive generations (or in two generations if 2 or 3 members of a family were affected). We sequenced the mtDNA in the 11 probands, in their mothers and in 80 controls. We identified 33 diabetes-suspected mutations, 1/33 was 3243A>G. Most patients (91%) and their mothers had mutations in complex I and/or IV of the respiratory chain. We measured the activity of these two enzymes and found that they were less active in mutated patients and their mothers than in the healthy control pool. The prevalence of hearing loss (36% vs 75–98%) and macular dystrophy (54% vs 86%) was lower in our mitochondrial diabetic adolescents than reported in adults. Moreover, we found a hitherto unknown association between mitochondrial diabetes and celiac disease. In conclusion, mitochondrial diabetes should be considered a complex syndrome with several phenotypic variants. Moreover, deafness is not an essential component of the disease in children. The whole mtDNA should be screened because the 3243A>G variant is not as frequent in children as in adults. In fact, 91% of our patients were mutated in the complex I and/or IV genes. The enzymatic assay may be a useful tool with which to confirm the pathogenic significance of detected variants.
Citation: Mazzaccara C, Iafusco D, Liguori R, Ferrigno M, Galderisi A, Vitale D, et al. (2012) Mitochondrial Diabetes in Children: Seek and You Will Find It. PLoS ONE 7(4): e34956. https://doi.org/10.1371/journal.pone.0034956
Editor: Katriina Aalto-Setala, University of Tampere, Finland
Received: December 29, 2011; Accepted: March 8, 2012; Published: April 19, 2012
Copyright: © 2012 Mazzaccara et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by CEINGE Regione Campania (DGRC 1901/2009). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Maternally Inherited Diabetes and Deafness (MIDD) is a rare form of diabetes that accounts for up to 1% of all diabetes cases in Europeans and is due to defects in mitochondrial DNA (mtDNA) [1], [2]. In addition to maternal transmission of diabetes, the clinical features of MIDD are mainly neurosensorial deafness, followed by other mitochondrial disorders, myopathies, and macular dystrophy [1]. MIDD is often misdiagnosed as type 1, type 2 or monogenic diabetes [1], [3]. The absence of autoimmunity and obesity and the presence of maternal heritability, respectively, distinguish the latter three forms of diabetes from MIDD [1], [3]. Besides the frequently reported mtDNA 3243A>G mutation, whose functional significance has been evaluated [4], several other mtDNA variants have been associated with a diabetic phenotype suggestive of MIDD [5], [6]. However, few studies have explored the mitochondrial efficiency associated with detected mtDNA variants [7], [8]. Consequently, the pathogenic significance of many newly identified variants remains to be established.
The aim of this study was to look for DNA variants in the mitochondrial genome of a pediatric cohort with suspected mitochondrial diabetes from Southern Italy. Patients were selected for investigation based on stringent diagnostic criteria. The pathogenic role of the detected mutations was investigated using an informatics approach. We also spectrophotometrically evaluated the enzyme activity of the respiratory chain complexes I and IV mutated in the mtDNA of most of our patients and their mothers.
Results
The clinical and metabolic characteristics of the 11 patients with suspected mitochondrial diabetes are listed in Table 1 and their family pedigrees are shown in Figure 1. Median age at diabetes onset was 11 years (age range 5–14 years). Maternal inheritance of diabetes or IFG was documented in all but 1 patient: patient 6 who was affected by hypoacusia and had a maternal history of hypoacusia. All 11 patients needed insulin therapy and most were of normal weight (median z score 1.4). Macular dystrophy was the most frequent diabetes-associated disease (54%), but no patient had diabetic retinopathy, whereas neurosensorial hearing impairment was observed only in one-third of patients. Seven patients (64%) showed alterations of the muscle enzymes CK and/or LDH, 4 patients (36%) were affected by thyroiditis, and 9 patients had a maternal history of deafness and/or macular dystrophy and/or thyroiditis. Particularly, in addition to the clinical characteristics described in Fig. 1, we detected: high CK levels in patient 2; high CK, LDH and ALP levels in patients 41, 42, 43; high LDH levels in patient 6; high ALP levels in patient 9; muscle pain in patient 14; and high CK levels and lactic acidosis in patient 15. Interestingly, HLA gene typing in the 11 patients revealed HLA-DQ2 and/or DQ8 molecules, and 3 were also affected by celiac disease (27%).
The inclusion criteria were: Diabetes+at least one of the following: A) maternal heritability of diabetes or Impaired Fasting Glucose (IFG) and/or hearing impairment and/or maculopathy in three consecutive generations (or in two if there were 2–3 affected subjects/family); B) neurosensorial hearing impairment; and C) maculopathy. In each square it's reported the presence of the criteria (A, B and/or C) in the probands.
We sequenced the entire mitochondrial genome of the 11 patients, their mothers and 80 controls. The results were compared to the Revised Cambridge Reference Sequence (rCRS:NC_012920) [14]. We identified a total of 416 variants, among which 325 were detected only in controls, 58 were present in both controls and cases (Table S3), and 33 suspected mutations (4/33 novel) (Table 2) were present only in cases and their mothers. Among the suspected mutations detected only in patients, 22/33 were in the coding region (50% synonymous and 50% caused an amino acid change). Table 2 shows the main features (i.e.,the nucleotide variation, the relative amino acid substitution and its conservation across species, together with the bioinformatic-predicted role of the changed amino acid in the structure and/or function of the relative protein) of the variants detected in each patient. Each patient had from one to seven suspected mtDNA mutations. Table 2 also shows previously reported variants.
The 3243A>G variant in tRNA leucine, which is the mutation most frequently associated with MIDD, was present in only one of our patients (patient 5) at heteroplasmic level. The level of heteroplasmy was higher in the DNA of patient 5 than in his mother's DNA, in both swab and blood samples (Figure S1). qRT-PCR confirmed a higher level of heteroplasmy in the patient than in his mother (respectively 34% and 3%). The distribution (percentage) of suspected mutations in the non-coding and in the coding regions of mtDNA is reported in Figure 2. Most suspected mutations (67%) were in the coding region and those with the highest frequencies occurred in complex I (46%) (ND1: 4024A>G, 4086C>T; ND2:5093T>C, 5300C>T; ND3: 10373G>A; ND4: 11253T>C, 11447G>A, 11928A>G; ND4L:10685G>A; ND5:12346C>T, 13135G>A, 14002A>G; ND6:14365C>T, 14502T>C, 14582A>G), in complex-IV (15%) (CO2:7762G>A; CO3:9803A>G, 9935T>C, 9947G>A, 9548G>A) of the respiratory chain enzymes followed by complex III (3%) (CYB:15530T>C) and complex V (3%) (ATP8:8562C>G). Within the non-coding region, the highest suspected mutation frequency was in the D-Loop (18%) (HVI: 16048G>A, 16137A>G, 16354C>T, 16526G>A; HVII:293T>C, 385A>G), followed by RNRs (951G>A, 960delC) and tRNAs (TV:1664G>A; TL1:3243A>G) both 6%, and by the NC7 region (3%) (8289_8290insCCCCCTCTA).
Most diabetic associated variants (67%), detected by sequencing analysis, occurred in the coding region. The highest variant frequencies were observed in complex I (46%) and in complex IV (15%). In the non-coding region, the highest variant frequency was in the D-Loop (18%).
Because almost all patients (10/11 = 91%) had suspected mutations in complex I and/or in complex IV, we measured the enzymatic activities of these two complexes to investigate if the variants identified were associated with impaired mitochondrial function in patients and in their mothers when samples were available (i.e., patients 2, 6, 9, 10 and 15). Patient 5 carried mutation 3243A>G and was not further investigated because the functional significance of this mutation has been well established (4). Table 3 shows the enzyme activities recorded in patients and their mothers after normalization first vs citrate synthase and then vs the healthy control pool. Residual complex I and/or complex IV enzyme activities were lower (below the detected biological variability of 40%) than in the control pool (set at 100%) in 4/5 patients and borderline in 1/5 patients. The enzyme activities in mothers were similar to those measured in their offspring except in mother 2 (a subject bearing 2 variants in complex IV, one of which at heteroplasmic level), in whom the residual enzyme activity was higher than in her son.
Discussion
Potentially pathogenetic mtDNA mutations have been identified in more than 5% of patients affected by type 2 diabetes [6], which suggests that the true prevalence of mitochondrial diabetes could be higher than usually reported in Europeans subjects 1% [1]. In our geographic area, the global incidence of diabetes, in the population under 15 years of age, is 6.4/100,000/year [19]. In our pediatric diabetology unit we diagnosed mitochondrial diabetes in 11/1600 children with a diabetic phenotype observed from 1989 to 2009, which corresponds to a prevalence of 0.6% of the diabetes. The study population included a “historical” case of 1972.
Most MDD studies [1], [20] started with the search for mutation 3243A>G in patients affected by both diabetes and deafness. Identification of the mutation prompted the investigation of the other common features (i.e., maculopathy and maternal heritability). Our approach was first to test all the diabetic patients of our Pediatric Diabetology Unit for maculopathy. Second, we carried out an audiometric examination of all patients positive for maculopathy or, if negative, in patients presenting maternal heritability of diabetes or IFG and/or hearing impairment and/or maculopathy in three consecutive generations (or in two generations if 2–3 members of the family were affected). This approach resulted in a lower incidence of deafness (36%) than previously reported, namely from 75% to 98% in 3243A>G-carriers with diabetes, with or without a maternal history of diabetes [1], [20], and 58% in type 2 diabetic patients bearing mtDNA variations [6]. The low incidence of deafness in our patients suggests that the designation of deafness as the main diagnostic criterion for mitochondrial diabetes may result in underestimation of the real prevalence of the disease. This is why, in our patients, we call the disorder “mitochondrial diabetes” rather than MIDD.
Macular dystrophy was present in 54% of our patients, which is also lower than the 86% reported in carriers of mutation 3243A>G [1], [20]. All our patients had DQ2 and/or DQ8 molecules that predispose to type 1 diabetes and to celiac disease. Intriguingly, celiac disease was detected in 27% (3/11 patients) of our suspected mitochondrial diabetic patients versus 1% of the general population [21] and versus 3%–6% of patients with type 1 diabetes [22]. As far as we are aware, this is the first report of an association between celiac disease and mitochondrial diabetes. Further investigations of mitochondrial function in celiac patients are required to verify the involvement of mtDNA variants in the pathogenesis or progression of the celiac disease. Notably, one-third of our mitochondrial diabetic patients had secondary thyroiditis, which has been previously reported in 3243A>G carriers in the presence of diabetes or other mitochondrial diseases [1], [23].
To our knowledge, there are no previous studies of mitochondrial diabetes in pediatric cohorts. In studies conducted in adults, young adults, in family case reports and in the MIDD 1 form, diabetes was usually diagnosed in patients aged between 16 and 43 years [1], [6], [24], [25]. The age at MIDD onset is also related to the heteroplasmy level of the mutations. In fact, in 3243A>G carriers with heteroplasmy levels of 34.5%, 14.9%, 14.6% and 5.9%, the age of MIDD onset was 15, 41, 44 and 65 years, respectively [26]. In agreement with these data, the age of diabetes onset was 14 years in our mitochondrial diabetic patient (patient 5) who had a heteroplasmy 3243A>G level of 34%. The heteroplasmic level of the mutation was higher in patient 5 than in his mother in both buccal cells and blood leucocytes, which is in agreement with previous reports [27]. This finding supports the concept that the heteroplasmy load in blood of 3243A>G declines with age [1], [28].
As mentioned above, the genetic analysis of MIDD usually focuses on the search for the 3243A>G mutation in selected diabetic patients affected by hearing loss; the entire mitochondrial genome is rarely screened [29], [30]. Sequence analysis of the whole mtDNA in our suspected mitochondrial diabetic pediatric patients and controls resulted in a high rate of mtDNA polymorphisms (a total of 383/416 variants, present also in controls). Consequently, it is important to ascertain the pathogenic significance of newly identified variants. Among the 33 suspected mutations, 11/22 (50%) of those occurring in the coding region caused an amino acid change. Using informatics we predicted a benign change by SIFT and/or Polyphen programs for 10/11 variants; however, contrasting results were generated for 4/11 variants. Only one of the four novel suspected mutations (8562C>G) detected in our population caused an amino acid change (P66R: a not conserved amino acid) in the ATP8 gene, the others being synonymous (2 variants) or present in the control region (1 variant).
Most of the suspected mutations detected in our cohort have been described previously, often in a single patient or family, in association with diabetes, with other mitochondriopathies (mitochondrial encephalomyopathy, lactic acidosis and stroke-like episodes: MELAS, Leber's hereditary optic neuropathy: LHON), with hearing loss [31]–[37], with cancer and with Parkinson disease or in population studies (MITOMAP: A Human Mitochondrial Genome Database:http://www.mitomap.org). However, the true clinical significance of these suspected mutations, apart from 3243A>G [4], has been scarcely investigated [7], [8]. Given the highly polymorphic patterns detected in our patients, each usually bearing more than one variant (range: 1–7), and each variant being present once in the cohort, we measured the enzyme activities of complexes I and IV, where most of the variants occurred. The residual enzyme activity of the relative complex was lower in mitochondrial diabetic patients (5 patients) and in their mothers (complex I 12–65% and complex IV 46–76%) than in the healthy control pool set at 100%, although there was no correlation between the diabetic phenotype and the level of the residual enzyme activity in our patients. Intriguingly, patient 6 was affected by diabetes and deafness, her grandmother was affected by deafness and her father by diabetes. Although we detected some potentially pathogenic mtDNA variants and a reduced enzyme activity of complex I in both patient 6 and her mother, we cannot exclude that other genetic factors could have contributed to the diabetic phenotype of this patient. In fact, the phenotype of a pathogenic mtDNA mutation, or the severity of an mtDNA mutation that may not be pathological in some cases, could be influenced by the mitochondrial DNA haplogroup [38]. In addition, the genetic instability of mtDNA heteroplasmic mutations in the patient's somatic tissues [39], or the nuclear background, by nuclear modifiers, may also play a role in determining mtDNA mutation pathogenicity [40].
In conclusion, mitochondrial diabetes should be considered a complex syndrome with several phenotypic variants. Deafness is not an essential component of the disease in children. Investigations of patients should include the study of the entire mtDNA because the 3243A>G variant is not as frequent in children as in adults. In fact, 91% of our patients were mutated in the complex I and/or IV genes. The enzymatic assay may be a useful tool with which to measure the mitochondrion dysfunction associated with detected mtDNA variants.
Materials and Methods
Patients and controls
Sixteen patients (including 3 brothers), with suspected mitochondrial diabetes were enrolled from among the diabetic population attending the Department of Pediatrics of the Second University of Naples (Italy) (15/16 from 1989 to 2009 and 1/16, a historical case in 1972). Controls (10 affected by type 1 diabetes and 70 healthy controls) were recruited at DASMELAB/CEINGE–Advanced Biotechnology/University of Naples Federico II. All patients (54% males), their mothers, and controls had lived in Southern Italy for at least 2–3 generations. All the diabetic children were screened for maculopathy by ophtalmoscopic examination. Inclusion criteria for suspected mitochondrial diabetes, in addition to the presence of diabetes defined according to the American Diabetes Association (ADA) [9], were: 1) maternal heritability of diabetes or impaired fasting glucose (IFG) and/or hearing impairment and/or maculopathy in three consecutive generations (or in two generations if 2 or 3 members of the family were affected); 2) neurosensorial hearing impairment; and 3) maculopathy. At least one or more of these criteria were required for enrollment in the study (Figure 1). Audiometric examination was performed in all patients with maculopathy, and in patients without maculopathy if they fulfilled one of the above-indicated clinical criteria. A cut-off point of 250 Hz with a slope of 24 dB/oct was considered diagnostic of hearing impairment [10]. The ophthalmoscopic examinations were performed according to standardized procedures [11], [12]. Age at disease onset, need of insulin therapy, levels of fasting C peptide, and type 1 diabetes autoantibodies were also recorded. All pedigrees were verified from the patients' records by expert pediatricians and in cooperation with the family doctor. Patients with suspected mitochondrial diabetes were also typed for Human Leukocyte Antigen (HLA) -DRB1(*03/*04/*07/*11), DQA1 (*02/*03/*05), and DQB1(*02–*06) alleles (Histotype Special Medium Resolution and Histotype DQB Low SSP Kits- BAG Healthcare) to identify HLA alleles predisposing to type 1 diabetes and/or to other autoimmune diseases. To determine whether our patients were affected by the autoimmune diseases most frequently associated with type 1 diabetes (thyroiditis and celiac disease), we carried out the following immunofluorometric or immunoenzymatic assays: free triiodothyronine (FT3), free thyroxine (FT4), thyroid-stimulating hormone (TSH), thyroglobulin (TG), anti-thyroglobulin (Anti-TG), anti-peroxidase (Anti-TPO) antibodies and IgA-IgG anti-gliadin antibodies (AGA) and IgA transglutaminase (TGase) antibodies. The presence of celiac disease in serology-positive participants was confirmed by total or subtotal villous atrophy at biopsy examination. We also screened our patients for myopathy (muscle enzymes alterations) by measuring creatine kinase (CK)>174 U/L and/or lactate dehydrogenase (LDH)>190 U/L) levels. A detailed family history, and anthropometric and clinical data were collected on a standard case-record form.
The presence of hypertension, defined as blood pressure in excess of the 90° percentile in children [13] was also explored. A fasted blood sample was collected from all patients at the first clinical examination for routine biochemical investigations: glucose, C-peptide, glycated hemoglobin (HbA1C), islet cell antibody (ICA), Anti-glutamate decarboxylase (GAD), protein tyrosine phosphatase (IA2), insulin auto antibody (IAA), CK, LDH, creatinine, which were determined with routine procedures. Based on biochemical findings, five of 16 suspected mitochondrial diabetic patients were diagnosed as type 1 diabetes (high positivity for all the tested diabetes type 1 autoimmune markers), and were excluded from the study. Although autoimmune markers do not rule out a mitochondrial form of diabetes, in this preliminary study we preferred to avoid any factor that could interfere with the pathogenetic mechanism of a supposed “mitochondrial form”. A peripheral blood+EDTA sample was also collected from patients, their mothers and controls to obtain DNA samples for mtDNA sequence analysis. The mtDNA analysis was also performed in patients with suspected mitochondrial diabetes and their mothers on buccal cells collected by swab. Written informed consent was obtained from all recruited subjects, in the case of children, consent was obtained from their parents, and the study was approved by the Ethics Committee of the Faculty of Medicine of the Second University of Naples (Italy). The study was performed according to the Helsinki declaration.
DNA extraction and mtDNA sequencing
Genomic DNA was extracted with the Kit-Nucleon-BACC2 (Illustra DNA-Extraction Kit-BACC2-GE Healthcare, UK) and stored at +4°C. The primers used to amplify by PCR the mtDNA were chosen by the PRIMER 3 program (http://frodo.wi.mit.edu/primer3/) and were selected to generate two overlapping fragments encompassing the whole mitochondrial genome. Primers are listed in Table S1. The mtDNA was amplified by long PCR using GeneAmp PCR System 9700 (Applied-Biosystems, Foster City, CA, USA). The long PCR mixture and conditions are detailed in Methods S1. The PCR fragments were examined by electrophoresis to assess yield and purity, then amplicons were purified over affinity spin columns (Qiaquick-PCR purification Kit, Qiagen Hilden, Germany). The whole mitochondrial genome was then sequenced with the BigDye Terminator v3.1 cycle sequencing method on the ABI-Prism 3730 Genetic Analyzer (Applied-Biosystems) by using 32 forward primers, summarised in Table S2, and analyzed using the SeqScape program (v2.5 Applied-Biosystems) to compare the mtDNA sequences of patients and controls with the revised Cambridge Reference Sequence (rCRS) [14].
Real-time quantitative PCR
We used the TaqMan system (7900HT Fast-Real-Time-system; Applied-Biosystems) to evaluate by real-time quantitative PCR (qRT-PCR) the level of heteroplasmic 3243A>G mutation detected in one patient and his mother. Primers and Real-time quantitative PCR conditions were detailed in Methods S2. To quantify total and mutant mtDNA, standard curves were constructed using plasmids with the wild-type (WT) and the mutant mtDNA fragments respectively. The ratio between total mtDNA and mutant mtDNA was calculated in each sample.
Bioinformatic analysis
We used the Sorting Intolerant from Tolerant (SIFT) (http://sift.jcvi.org/), Polymorphism Phenotyping (PolyPhen) (http://genetics.bwh.harvard.edu/pph) and ClustalW http://www.ebi.ac.uk/Tools/clustalw2/index.html) programs to predict the pathogenicity of the detected missense suspected mutations. The evaluation included amino acid conservation across species and the role of the changed amino acid in the structure and/or in the function of the relative protein.
Evaluation of the enzyme activities of complexes I and IV of the respiratory chain
Lymphocytes from mitochondrial diabetic patients, their mothers, and 12 healthy controls were first isolated from fresh peripheral blood+EDTA (10 ml) and then separated on Ficoll medium using Ficoll Paque plus reagent (GE Healthcare, Waukesha, WI, USA) as previously described [15]. Briefly, the blood was diluted by the addition of an equal volume of PBS (Sigma-Aldrich Corp., St. Louis, MO, USA), then aliquots of 7 mL of this mixture were layered over 3 mL of Ficoll Paque and centrifuged at 400 g, at 18°C for 30 min. The mononuclear cell fraction was removed, diluted in PBS (1∶10) and centrifuged. The pellet was washed with 5 mL of PBS and lymphocytes were counted with the automated Analyzer Coulter LH 750 (Beckman Coulter Inc., Fullerton, CA, USA) and finally aliquots of 2.5×106 lymphocytes were resuspended in an ice-cold buffer (SHE-PIM) containing 250 mmol/l sucrose, 10 mmol/l HEPES pH 7.4 and 1 mmol/l EDTA (SHE) supplemented with a protease inhibitor mixture (PIM) (Complete, EDTA-free, Roche Diagnostics, Mainheim, Germany). These aliquots of lymphocytes were rapidly frozen in liquid nitrogen and stored at −80°C.
Sample preparation for the enzyme assays.
Cells were permeabilized by four freeze/thawing cycles. The protein content of the aliquots of lymphocytes was determined by the Bio-Rad Protein Assay (Biorad Laboratories, GmbH, Munchen, Germany) using BSA as standard.
NADH: Ubiquinone-oxidoreductase (Complex-I) Activity: Complex-I activity was measured as previously described [16] by monitoring the oxidation of NADH to NAD+ at 340 nm at 37°C, using a Cary 1E Spectrophotometer (Varian), equipped with an electronic temperature controller, and a molar extinction coefficient of 6220 M−1cm−1. The baseline absorbance variation was determined by adding an appropriate amount of permeabilized lymphocytes (usually 2.5×106–5.0×106). Therefore, the reaction started with the addition of 50 µmol/l Coenzyme-Q (CoQ1) in the absence or in the presence of 5 µmol/l rotenone, a specific complex I inhibitor, and was monitored for an additional 3–5 min. Under these conditions, the rate of NADH oxidation measured in the absence of rotenone corresponded to the total NADH-CoQ oxidoreductase activity, whereas that measured in its presence reflected the rotenone-insensitive NADH-CoQ oxidoreductase activity (RINQ), which is not associated to complex I activity. Therefore, the activity of complex I can be derived subtracting the rate of RINQ from the total activity and is expressed as nmol of NADH oxidized min−1 mg−1 of protein.
Cytochrome c oxidase (complex IV) activity.
Complex IV activity was determined by monitoring the oxidation of reduced cytochrome-c (rCyt-c) at 550 nm (molar extinction coefficient 29500 M−1 cm−1). rCyt-c was prepared from commercially available oxidised Cytochrome c (Sigma Aldrich) by reduction with dithiothreitol (DTT) and quantification as indicated by the manufacturer. The assay mixture, prepared in 10 mmol/l potassium phosphate, pH 7.4, contained 1.5% n-dodecyl-β-D-maltoside, which is required to maximize complex IV activity [17], and 25 µmol/l rCyt-c. After reading the baseline activity, the reaction was started by adding appropriate amounts of permeabilized lymphocytes (usually 2.0×104–3.0×104 cells), and followed by measuring the decrease of the absorbance at 550 nm for an additional 2–3 min. Complex IV activity was expressed as nmol Cyt-c oxidized min−1 mg−1 of protein. Both complex I and complex IV activities were normalized to citrate synthase activity, which is an index of mitochondrial mass, as previously reported [17], to correct for any differential mitochondrial content due to mitochondrial dysfunction [18]. Finally, the residual percent activities of complex I and complex IV in both mitochondrial diabetic patients and their mothers were obtained by comparing their activities with that measured in a healthy control pool set at 100%. The biological variability of enzyme activities in the samples used for the control pool was 40%, in agreement with the previously reported value [16]. To check the quality of our assay, we also verified the enzyme activity of two un-mutated complexes in two patients (patients 2 and 10) and in the father of a diabetic patient (data not shown). The residual enzyme activities in these controls ranged from 87% to 99%.
Statistical analysis
The statistical analysis of biochemical and general data from patients was carried out using PASW 18.0 software version (SPSS Inc., Chicago, IL, USA). The Kolmogorov-Smirnov test was used to evaluate the distribution of continuous variables (age at onset, BMI Z score, fasting plasma glucose, glycated haemoglobin, fasting C peptide at diagnosis) that were expressed as median (2.5th–97.5th percentiles). The categorical variables were reported as percentage.
Supporting Information
Figure S1.
Detection of 3243A>G mitochondrial mutation by sequence analysis. Sequence analysis of swab and blood mtDNA from patient 5 (pt5) and from her mother (m5) showing the heteroplasmic 3243A>G mutation. Levels of heteroplasmy were higher in mtDNA from pt5 than in mtDNA from m5 in both swab and blood samples.
https://doi.org/10.1371/journal.pone.0034956.s001
(PDF)
Methods S1.
Mixture and conditions for Long PCR of mtDNA.
https://doi.org/10.1371/journal.pone.0034956.s002
(PDF)
Methods S2.
Primers and Real-time quantitative PCR conditions.
https://doi.org/10.1371/journal.pone.0034956.s003
(PDF)
Table S1.
Primers sequence for Long PCR of mtDNA. Table shows the two primers pair used for the amplification of the entire mtDNA.
https://doi.org/10.1371/journal.pone.0034956.s004
(PDF)
Table S2.
Primers sequence for mtDNA sequencing. Table shows the primers used for the sequencing of the mtDNA amplification products.
https://doi.org/10.1371/journal.pone.0034956.s005
(PDF)
Table S3.
MtDNA Variants detected in control subjects or both in control subjects and patients. Table reports the 325 mtDNA variants detected only in our controls subjects and the 58 variants detected both in control subjects and patients. For each variant is reported the mitochondrial region, the nucleotide and amino acid change and the relative frequency.
https://doi.org/10.1371/journal.pone.0034956.s006
(PDF)
Acknowledgments
We thank Jean Ann Gilder (Scientific Communication srl) for revising and editing the manuscript. We thank our mitochondrial diabetic patients and their families for their kind cooperation in this study.
Author Contributions
Conceived and designed the experiments: DI CM LS. Performed the experiments: CM RL MF DI AG DV MM LS. Analyzed the data: CM RL MF DI AG MM LS. Contributed reagents/materials/analysis tools: LS. Wrote the paper: DI CM LS. Ophthalmoscopic examination: FS PL. Performed the critical revision of the article for important intellectual content: FP MM. Final approval of the article: LS.
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