Elevated ratios of circulating unmethylated to methylated preproinsulin (INS) DNA have been suggested to reflect β-cell death in type 1 diabetes (T1D). We tested the hypothesis that absolute levels (rather than ratios) of unmethylated and methylated INS DNA differ between subjects with new-onset T1D and control subjects and assessed longitudinal changes in these parameters. We used droplet digital PCR to measure levels of unmethylated and methylated INS DNA in serum from subjects at T1D onset and at 8 weeks and 1 year post-onset. Compared with control subjects, levels of both unmethylated and methylated INS DNA were elevated at T1D onset. At 8 weeks post-onset, methylated INS DNA remained elevated, but unmethylated INS DNA fell. At 1 year postonset, both unmethylated and methylated INS DNA returned to control levels. Subjects with obesity, type 2 diabetes, and autoimmune hepatitis exhibited lower levels of unmethylated and methylated INS compared with subjects with T1D at onset and no differences compared with control subjects. Our study shows that elevations in both unmethylated and methylated INS DNA occurs in new-onset T1D and that levels of these DNA species change during T1D evolution. Our work emphasizes the need to consider absolute levels of differentially methylated DNA species as potential biomarkers of disease.

The diagnosis of type 1 diabetes (T1D) is made at a time when individuals have lost substantial β-cell mass and function (1,2). Interventions instituted at T1D diagnosis have failed to result in recovery of β-cell function, raising the possibility that earlier detection of β-cell death might provide an opportunity for preventative interventions prior to T1D onset (3). Recently, several groups have proposed the measurement of circulating unmethylated DNA encoding preproinsulin (INS) as a biomarker of β-cell death (410), since β-cells have a much higher frequency of unmethylated CpG sites compared with other cell types (6,11,12) and might release this DNA species into the circulation upon death. In these studies, unmethylated INS DNA was expressed as a ratio relative to methylated INS DNA for normalization purposes. However, because β-cells and many other cell types in the islet contain some fraction of both unmethylated and methylated INS (6,12,13), it remains unclear to what extent each species of INS might be independently informative of the underlying disease process in T1D.

Droplet digital PCR (ddPCR) uses the analysis of discrete individual PCR reactions (∼20,000/sample) to identify the presence of target DNA and uses Poisson statistics to extrapolate the copy number of target DNA per sample (14). This technology enables direct quantitation of differentially methylated DNA species in serum without the need for normalization. We used ddPCR to analyze serum from individuals with new-onset T1D to test the hypothesis that absolute levels (rather than ratios) of unmethylated and methylated INS differ between subjects with new-onset T1D and control subjects. We also assessed longitudinal changes in INS during T1D evolution and evaluated levels of these DNA species in cohorts with established type 2 diabetes (T2D) and autoimmune hepatitis to control for hyperglycemia and autoimmunity, respectively.

Human Subjects and Islets

Serum samples were obtained from pediatric subjects with T1D at disease onset (within 2 days of diagnosis) and then at 8 weeks and 1 year after onset at Riley Hospital for Children. Subjects were 5–15 years of age and did not present in a state of diabetic ketoacidosis. Banked serum from healthy pediatric subjects, lean and obese adults without diabetes, adults with T2D (duration of disease 7.1 ± 1.1 years), and adults with autoimmune hepatitis was obtained for comparisons. Protocols were approved by the Indiana University Institutional Review Board. Parents of subjects provided written informed consent, and children older than 7 years provided assent for their participation. Human islets were obtained from the Integrated Islet Distribution Program.

Animals

CD1, NOD, and NOD-SCID mice were maintained under protocols approved by the Institutional Animal Care and Use Committee. Mice were fed regular chow and water ad libitum. Some mice underwent transplant of 200 human islets under the renal capsule as previously described (15). Blood was collected via tail vein for PCR assays.

DNA Extraction and Bisulfite Treatment

DNA was extracted from human islets using the genomic DNA extraction kit (Sigma-Aldrich). DNA was extracted from ∼20 µL mouse serum and 30–50 µL human serum using the ZR serum DNA kit (Zymo Research) or the QIAamp DNA blood mini kit (Qiagen) with 5 µg poly-A DNA as carrier. DNA recovery was ∼85%, with <10–15% variance between samples. All samples then underwent bisulfite conversion using the EZ DNA Methylation kit or the EZ DNA Methylation-Lightning kit (Zymo Research), and conversion was verified using a pre- and postconversion sample in the ddPCR.

PCR Analysis

Samples were analyzed by ddPCR using a dual fluorescent probe-based multiplex assay. For human INS promoter amplification, the following primers were used: 5′-GGAAATTGTAGTTTTAGTTTTTAGTTATTTGT-3′ (forward) and 5′-AAAACCCATCTCCCCTACCTATCA-3′ (reverse) in combination with probes that detected methylation or unmethylation at bp −69: 5′-ACCCCTACCGCCTAAC-3′ (VIC) and 5′-ACCCCTACCACCTAAC-3′ (FAM). We chose this site based on prior studies, which showed that position −69 in INS retained its unmethylated state in β-cells even under inflammatory stress of T2D (12). Primers and probes for mouse Ins2 DNA were described previously (4). Amplified human INS PCR products were sequenced to confirm the PCR product identities. ddPCR was performed using ddPCR Supermix for Probes (Bio-Rad) with the following cycling conditions: 95°C for 10 min, 94°C for 30 s, and 57.5°C for 60 s for 40 cycles. Droplets were analyzed by a QX200 Droplet Reader and QuantaSoft Software (Bio-Rad), from which a concentration (copies/µL) of methylated and unmethylated INS DNA was obtained. This final concentration was extrapolated to copy per microliter of serum and then log-transformed for parametric statistical analysis.

Statistics

For direct comparisons of methylated and unmethylated INS DNA levels, two-tailed unpaired Student t tests were used. For comparisons of longitudinally collected samples, two-tailed paired Student t tests were used. P values <0.05 were considered significant. Statistical calculations were performed using Prism 5.0 Software (GraphPad).

We developed a methylation-specific PCR (MSP) assay to simultaneously quantitate methylation or unmethylation at the CpG at INS position −69 bp, shown in prior studies to be preferentially unmethylated in β-cells (6,11). Control plasmids containing bisulfite-converted methylated or unmethylated INS DNA were used to standardize the MSP assay in ddPCR. Figure 1A shows the gating strategy (in two-dimensional ddPCR plots) to distinguish methylated, unmethylated, and double-positive INS-containing droplets. For verification of linearity and ability to distinguish simultaneous mixtures of the DNA species, mixtures of plasmids at varying ratios were subjected to ddPCR as shown in the one-dimensional plots in Fig. 1B and C. These methylation-specific plasmids were used to construct linearity curves over the range of DNA copy numbers observed in serum (Fig. 1D).

Figure 1

MSP assay specificity and validation. A: Two-dimensional plots using plasmid standards for unmethylated and methylated INS DNA and for a 1:1 mixture of the two plasmids. Arrows identify the unmethylated, methylated, and unmethylated + methylated (double-positive) INS DNA-containing droplets. B and C: Dilutions of plasmids containing bisulfite-converted unmethylated and methylated INS DNA were subjected to ddPCR; one-dimensional plots from ddPCR are shown for fluorescent probes specific for unmethylated INS DNA (B) and methylated INS DNA (C). In panels B and C, the positive, negative, and overlap (FAM probe overlapping into the VIC channel and vice versa) signals are identified. D: Quantitation of plasmid dilution curves, presented as copies/µL; r2 = 0.9818 for unmethylated INS DNA and r2 = 0.9685 for methylated INS DNA.

Figure 1

MSP assay specificity and validation. A: Two-dimensional plots using plasmid standards for unmethylated and methylated INS DNA and for a 1:1 mixture of the two plasmids. Arrows identify the unmethylated, methylated, and unmethylated + methylated (double-positive) INS DNA-containing droplets. B and C: Dilutions of plasmids containing bisulfite-converted unmethylated and methylated INS DNA were subjected to ddPCR; one-dimensional plots from ddPCR are shown for fluorescent probes specific for unmethylated INS DNA (B) and methylated INS DNA (C). In panels B and C, the positive, negative, and overlap (FAM probe overlapping into the VIC channel and vice versa) signals are identified. D: Quantitation of plasmid dilution curves, presented as copies/µL; r2 = 0.9818 for unmethylated INS DNA and r2 = 0.9685 for methylated INS DNA.

Close modal

To test whether our MSP assay detects dying human β-cells in vivo, we transplanted human islets into healthy immunocompetent CD1 mice and allowed the islets to undergo xenorejection. Unmethylated human INS peaked in the serum at 6 h posttransplantation, falling to undetectable levels by 48 h (Fig. 2A). By contrast, only a slight (insignificant) increase in methylated INS was detectable at 6 h posttransplantation (Fig. 2B). Neither unmethylated nor methylated human INS was measurable in nontransplanted mice, and neither unmethylated nor methylated mouse Ins2 was altered in transplanted mice (Fig. 2B).

Figure 2

Circulating unmethylated and methylated human INS and mouse Ins2 DNA levels in transplanted immunocompetent mice and NOD mice. A and B: CD1 mice (n = 4) were either transplanted (Transplant) or not (No Transplant) with 200 human islets beneath the kidney capsule. Serum was collected at the time points indicated and processed for MSP assay. Circulating unmethylated (A) and methylated (B) INS and Ins2 DNA levels were measured by ddPCR. C and D: Serum from NOD, NOD-SCID, and CD1 mice (n = 3 per group) was collected at the ages indicated and at the age that NOD mice developed diabetes (12–14 weeks) (Diabetes) and processed for MSP assay. Circulating unmethylated (C) and methylated (D) Ins2 DNA levels were measured by ddPCR. *P < 0.05 compared with time 0 in A and B, and *P < 0.05 compared with CD1 mice at the corresponding age in C and D.

Figure 2

Circulating unmethylated and methylated human INS and mouse Ins2 DNA levels in transplanted immunocompetent mice and NOD mice. A and B: CD1 mice (n = 4) were either transplanted (Transplant) or not (No Transplant) with 200 human islets beneath the kidney capsule. Serum was collected at the time points indicated and processed for MSP assay. Circulating unmethylated (A) and methylated (B) INS and Ins2 DNA levels were measured by ddPCR. C and D: Serum from NOD, NOD-SCID, and CD1 mice (n = 3 per group) was collected at the ages indicated and at the age that NOD mice developed diabetes (12–14 weeks) (Diabetes) and processed for MSP assay. Circulating unmethylated (C) and methylated (D) Ins2 DNA levels were measured by ddPCR. *P < 0.05 compared with time 0 in A and B, and *P < 0.05 compared with CD1 mice at the corresponding age in C and D.

Close modal

We tested our MSP assay in a mouse model of autoimmune β-cell destruction (NOD mice). Compared with NOD-SCID and CD1 controls, NOD mice exhibit elevated levels of both unmethylated and methylated mouse Ins2 in the prediabetes phase, with levels falling at the time of diabetes (Fig. 2C and D). To correlate these findings with humans, we next assessed subjects with new-onset T1D. Serum was obtained from 32 pediatric subjects within 48 h of T1D diagnosis. Additionally, 24 of these subjects had serum collected 8 weeks post-onset and 8 had serum collected 1 year post-onset. Relevant demographic and laboratory data of these subjects and control groups are presented in Table 1, and representative two-dimensional and one-dimensional plots are shown in Supplementary Fig. 1. As shown in Fig. 3A and C, levels of both unmethylated and methylated INS DNA were significantly higher in subjects at T1D onset compared with healthy control subjects (P < 0.0001), similar to NOD mice. At 8 weeks after T1D onset, levels of unmethylated INS decreased significantly (P < 0.0001) and were no different than in control subjects (Fig. 3A and B). By contrast, levels of methylated INS DNA remained elevated 8 weeks after T1D onset compared with control subjects (P < 0.0001), falling below control levels 1 year post-onset (P = 0.02) (Fig. 3C and D). Unmethylated INS remained at the same levels 1 year post–T1D onset as at 8 weeks post-onset but was higher than in control subjects (P < 0.0001) (Fig. 3A and B).

Table 1

Demographic and laboratory evaluation of subject cohorts

Pediatric controlT1D 
at onsetT1D 
at 8 weeksT1D 
at 1 yearLean adult controlObese adult controlAdult T2DAdult autoimmune hepatitis
Age (years) 9.5 ± 3.6 10.8 ± 3.0 10.7 ± 3.1 11.6 ± 3.1 51.3 ± 9.0 49.3 ± 5.6 48.6 ± 7.5 47 ± 14 
Female/male 14/13 14/18 11/13 1/7 12/3 11/10 5/12 12/2 
BMI z score −0.08 ± 0.7 0.07 ± 1.4 0.54 ± 0.9 0.16 ± 1.0     
BMI     22.9 ± 1.2 32.7 ± 3.5 35.9 ± 7.4 30.5 ± 7.7 
HbA1c (%)  11.3 ± 1.7 7.6 ± 0.8 8.3 ± 1.4   8.4 ± 1.6  
C-peptide (pmol/L)  150 ± 167 303 ± 166      
Pediatric controlT1D 
at onsetT1D 
at 8 weeksT1D 
at 1 yearLean adult controlObese adult controlAdult T2DAdult autoimmune hepatitis
Age (years) 9.5 ± 3.6 10.8 ± 3.0 10.7 ± 3.1 11.6 ± 3.1 51.3 ± 9.0 49.3 ± 5.6 48.6 ± 7.5 47 ± 14 
Female/male 14/13 14/18 11/13 1/7 12/3 11/10 5/12 12/2 
BMI z score −0.08 ± 0.7 0.07 ± 1.4 0.54 ± 0.9 0.16 ± 1.0     
BMI     22.9 ± 1.2 32.7 ± 3.5 35.9 ± 7.4 30.5 ± 7.7 
HbA1c (%)  11.3 ± 1.7 7.6 ± 0.8 8.3 ± 1.4   8.4 ± 1.6  
C-peptide (pmol/L)  150 ± 167 303 ± 166      

Data are presented as mean ± SEM.

Figure 3

Circulating unmethylated and methylated INS DNA levels in human cohorts. A: Circulating unmethylated INS DNA levels in human cohorts depicted as Log(copies/µL). B: Longitudinal change in circulating unmethylated INS DNA levels in pediatric subjects with T1D at onset, 8 weeks after onset, and 1 year after onset. C: Circulating methylated INS DNA levels in human cohorts depicted as Log(copies/µL). D: Longitudinal change in circulating methylated INS DNA levels in pediatric subjects with T1D at onset, 8 weeks after onset, and 1 year after onset. *P < 0.05, ***P < 0.0001, **P < 0.001. ns, not significant (P > 0.05).

Figure 3

Circulating unmethylated and methylated INS DNA levels in human cohorts. A: Circulating unmethylated INS DNA levels in human cohorts depicted as Log(copies/µL). B: Longitudinal change in circulating unmethylated INS DNA levels in pediatric subjects with T1D at onset, 8 weeks after onset, and 1 year after onset. C: Circulating methylated INS DNA levels in human cohorts depicted as Log(copies/µL). D: Longitudinal change in circulating methylated INS DNA levels in pediatric subjects with T1D at onset, 8 weeks after onset, and 1 year after onset. *P < 0.05, ***P < 0.0001, **P < 0.001. ns, not significant (P > 0.05).

Close modal

We asked whether elevated levels of unmethylated and methylated INS observed in NOD mice and subjects with T1D reflects a generalized response to either autoimmunity or prevailing hyperglycemia. We performed MSP assays using serum from adults with active autoimmune hepatitis, T2D, and lean and obese healthy control subjects (Table 1). Unmethylated INS levels were not different between lean and obese adult subjects, and methylated INS DNA levels were slightly lower, but with significant overlap, in the obese control subjects (P = 0.04) (Fig. 3A and C). Methylated and unmethylated INS in both of these adult control groups was higher than in pediatric control subjects, suggesting that these circulating DNA species may exhibit age-related differences (Fig. 3A and C). Compared with both healthy adult control groups, unmethylated and methylated circulating INS levels were lower or no different in subjects with autoimmune hepatitis and T2D (Fig. 3A and C). Additionally, circulating unmethylated and methylated INS DNA were lower in subjects with autoimmune hepatitis and T2D than in subjects with T1D at onset (Fig. 3A and C). Collectively, these data suggest that elevations in unmethylated and methylated INS DNA are not observed in T2D or autoimmune disease in general.

Elevations of unmethylated INS DNA have been shown to correlate with dying β-cells in both mice and humans (46,10). Whereas the ratio of unmethylated to methylated INS was used in prior studies, we used ddPCR to determine absolute copy numbers of both DNA species in several human cohorts. Our data reveal three important new findings 1) unmethylated INS is increased at T1D onset and falls to control levels by 8 weeks post-onset, 2) methylated INS is elevated at T1D onset and 8 weeks post-onset but falls by 1 year, and 3) elevations in both methylated and unmethylated INS DNA appear to be specific for new-onset T1D, since concomitant elevation of both species is observed neither at any subsequent time point in T1D nor in other disorders of immunity or glycemia.

Whereas elevations in unmethylated INS are thought to arise primarily from islet β-cells, an unexpected finding in our study was the elevation of methylated INS in T1D, which could arise from any cell type (6). A previous study examined the correlation between cell-free plasma DNA (human β-globin DNA) and severity of illness (sepsis) in humans (16); the authors observed increasing levels of cell-free DNA with sepsis severity. In this regard, our cohort with new-onset T1D did not present with underlying infections or ketoacidosis that could have led to elevated methylated INS. Moreover, other concurrent stresses (hyperglycemia and autoimmunity) are unlikely to contribute, since individuals with T2D and autoimmune hepatitis did not present with elevations relative to control populations.

Several scenarios might account for the elevated unmethylated and methylated INS in both human and mouse new-onset T1D. First, it is possible that both species of DNA arise from different cells within the islet affected by T1D immunopathogenesis (β-cells, α-cells, T cells, and macrophages). However, our results from the mouse transplant studies suggest the source of methylated INS DNA is extraislet, since xenorejection of transplanted human islets did not produce a significant increase in methylated INS DNA. Second, it is possible that the species arise not exclusively from islets but, rather, from some other cell type specific for T1D, such as thymic cells or T cells. In blood and spleen cells, up to 10–20% of clones exhibit unmethylated INS DNA (6), a finding that is consistent with the relative levels of circulating unmethylated and methylated INS in our studies. Finally, it is possible that the elevation in unmethylated INS DNA arises only from β-cells, while the elevation in methylated INS arises from other cell types related to T1D autoimmunity; this explanation seems most convincing, as xenorejection of human islets produced a significant increase in unmethylated INS.

Several differences between our study and those previously published should be emphasized. Ours is the first to study a population with new-onset T1D. Prior studies have primarily tested individuals with recent-onset T1D (within 4–18 months of onset) (5,8), in whom insulin administration might have impacted β-cell survival. Also, our assay interrogates methylation at a site different than those of prior studies. It is possible that different sites exhibit different methylation patterns as disease evolves (12), making comparisons between different site-specific assays difficult. Finally, ours is the first study to examine index cases of T1D longitudinally and to compare cases to other relevant populations to exclude confounding effects of concurrent pathophysiologic phenomena. Our study suggests that unique patterns of circulating methylated and unmethylated INS DNA may be specific for new-onset T1D and thereby emphasizes the need to consider absolute levels of differentially methylated DNA species as potential biomarkers of disease. Examination of circulating levels of these DNA species in populations with prediabetes are needed to determine their utility in predicting eventual disease onset.

Acknowledgments. The authors acknowledge the assistance of Dr. F. Meah and Jennifer Terrell (both from Indiana University) in data acquisition and K. Benninger and J. Nelson (both from Indiana University) in the Center for Diabetes and Metabolic Diseases Islet Core and Translation Core for transplantation of human islets and for the performance of ddPCR assays. The authors also thank Dr. Susan Ragg (Indiana University), the INbank biorepository, and Fairbanks Institute for Healthy Communities, which provided banked serum samples.

Funding. This work was supported by National Institutes of Health grants T32-DK-065549 (to M.M.F.), UC4-DK-104166 (to C.E.-M. and R.G.M.), and K24-DK-069290 (to N.C.); JDRF grant 3-SRA-2014-41 (to J.B., C.E.-M., and L.A.D.); an American Diabetes Association Junior Faculty Award (to S.A.T.); and grants from the Ball Brothers Foundation and George and Francis Ball Foundation (to C.E.-M. and R.G.M.).

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. M.M.F., R.A.W., J.B., C.E.-M., L.A.D., K.J.M., S.A.T., and R.G.M. designed research. M.M.F., R.A.W., N.C., and S.A.T. performed research. M.M.F., K.J.M., S.A.T., and R.G.M. analyzed data. M.M.F. and R.G.M. wrote the manuscript. All authors approved the final draft of the manuscript. M.M.F. and R.G.M. are the guarantors of this work and, as such, had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Prior Presentation. Parts of this study were presented in abstract form at the 75th Scientific Sessions of the American Diabetes Association, Boston, MA, 5–9 June 2015.

1.
Akirav
E
,
Kushner
JA
,
Herold
KC
.
Beta-cell mass and type 1 diabetes: going, going, gone
?
Diabetes
2008
;
57
:
2883
2888
[PubMed]
2.
Ferrannini
E
,
Mari
A
,
Nofrate
V
,
Sosenko
JM
,
Skyler
JS
;
DPT-1 Study Group
.
Progression to diabetes in relatives of type 1 diabetic patients: mechanisms and mode of onset
.
Diabetes
2010
;
59
:
679
685
[PubMed]
3.
Gorus
FK
,
Keymeulen
B
,
Veld
PAI
,
Pipeleers
DG
.
Predictors of progression to Type 1 diabetes: preparing for immune interventions in the preclinical disease phase
.
Expert Rev Clin Immunol
2013
;
9
:
1173
1183
[PubMed]
4.
Fisher
MM
,
Perez Chumbiauca
CN
,
Mather
KJ
,
Mirmira
RG
,
Tersey
SA
.
Detection of islet β-cell death in vivo by multiplex PCR analysis of differentially methylated DNA
.
Endocrinology
2013
;
154
:
3476
3481
[PubMed]
5.
Akirav
EM
,
Lebastchi
J
,
Galvan
EM
, et al
.
Detection of β cell death in diabetes using differentially methylated circulating DNA
.
Proc Natl Acad Sci U S A
2011
;
108
:
19018
19023
[PubMed]
6.
Husseiny
MI
,
Kaye
A
,
Zebadua
E
,
Kandeel
F
,
Ferreri
K
.
Tissue-specific methylation of human insulin gene and PCR assay for monitoring beta cell death
.
PLoS One
2014
;
9
:
e94591
[PubMed]
7.
Husseiny
MI
,
Kuroda
A
,
Kaye
AN
,
Nair
I
,
Kandeel
F
,
Ferreri
K
.
Development of a quantitative methylation-specific polymerase chain reaction method for monitoring beta cell death in type 1 diabetes
.
PLoS One
2012
;
7
:
e47942
[PubMed]
8.
Lebastchi
J
,
Deng
S
,
Lebastchi
AH
, et al
.
Immune therapy and β-cell death in type 1 diabetes
.
Diabetes
2013
;
62
:
1676
1680
[PubMed]
9.
Usmani-Brown
S
,
Lebastchi
J
,
Steck
AK
,
Beam
C
,
Herold
KC
,
Ledizet
M
.
Analysis of β-cell death in type 1 diabetes by droplet digital PCR
.
Endocrinology
2014
;
155
:
3694
3698
[PubMed]
10.
Herold
KC
,
Usmani-Brown
S
,
Ghazi
T
, et al.;
Type 1 Diabetes TrialNet Study Group
.
β cell death and dysfunction during type 1 diabetes development in at-risk individuals
.
J Clin Invest
2015
;
125
:
1163
1173
[PubMed]
11.
Kuroda
A
,
Rauch
TA
,
Todorov
I
, et al
.
Insulin gene expression is regulated by DNA methylation
.
PLoS One
2009
;
4
:
e6953
[PubMed]
12.
Yang
BT
,
Dayeh
TA
,
Kirkpatrick
CL
, et al
.
Insulin promoter DNA methylation correlates negatively with insulin gene expression and positively with HbA(1c) levels in human pancreatic islets
.
Diabetologia
2011
;
54
:
360
367
[PubMed]
13.
Fradin
D
,
Le Fur
S
,
Mille
C
, et al
.
Association of the CpG methylation pattern of the proximal insulin gene promoter with type 1 diabetes
.
PLoS One
2012
;
7
:
e36278
[PubMed]
14.
Hindson
BJ
,
Ness
KD
,
Masquelier
DA
, et al
.
High-throughput droplet digital PCR system for absolute quantitation of DNA copy number
.
Anal Chem
2011
;
83
:
8604
8610
[PubMed]
15.
Oh
E
,
Stull
ND
,
Mirmira
RG
,
Thurmond
DC
.
Syntaxin 4 up-regulation increases efficiency of insulin release in pancreatic islets from humans with and without type 2 diabetes mellitus
.
J Clin Endocrinol Metab
2014
;
99
:
E866
E870
[PubMed]
16.
Moreira
VG
,
Prieto
B
,
Rodríguez
JSM
,
Álvarez
FV
.
Usefulness of cell-free plasma DNA, procalcitonin and C-reactive protein as markers of infection in febrile patients
.
Ann Clin Biochem
2010
;
47
:
253
258
[PubMed]

Supplementary data