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. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Curr Pediatr Rep. 2015 Apr 4;3(2):177–186. doi: 10.1007/s40124-015-0081-0

Diabetes Complications in Childhood Diabetes—New Biomarkers and Technologies

Petter Bjornstad 1,2, David M Maahs 1,2
PMCID: PMC4584153  NIHMSID: NIHMS678146  PMID: 26425403

Abstract

A major challenge in preventing vascular complications in diabetes is the inability to identify high-risk patients at an early stage, emphasizing the importance of discovering new risk factors, technologies and therapeutic targets to reduce the development and progression of complications.

Promising biomarkers which may improve risk stratification and serve as therapeutic targets, include: uric acid, insulin sensitivity, copeptin, SGLT-2 and Klotho/FGF-23. Non-invasive measures of macrovasuclar disease in youth, include: 1) pulse wave velocity to examine arterial stiffness; 2) carotid intima-media thickness to evaluate arterial thickness; 3) cardiac MRI to investigate cardiac function and structure. Novel microvascular measures include: GFR by iohexol clearance using filter paper to directly measure GFR, retinal vascular geometry to predict early retinal changes and corneal confocal microscopy to improve detection of early nerve loss to better predict diabetic neuropathy.

Herein we will review technologies, novel biomarkers, and therapeutic targets in relation to vascular complications of diabetes.

Keywords: Type 1 diabetes, microvascular complications, macrovascular complications, continuous glucose monitor, artificial pancreas

Introduction

Cardiorenal complications are the leading cause of morbidity and mortality in type 1 diabetes [1]. While diabetic nephropathy remains the most common cause of end-stage renal disease (ESRD) in the Western world [2, 3], coronary artery disease is the single strongest determinant of mortality in type 1 diabetes [1, 4]. Diabetic sensorimotor polyneuropathy is also an important complication of diabetes that predisposes to neuropathic pain, sensory and autonomic dysfunction and limb amputation [5]. Diabetic retinopathy, another form of microvascular disease, represents the most common cause of new-onset blindness [6]. Major determinants of vascular complications in type 1 diabetes include glucose, blood pressure, and lipid control, but the literature suggests significant under-treatment of these risk factors in children and adolescents with diabetes [1, 711].

By the time macro- and microvascular complications manifest clinically, significant vascular injuries are well established and usually refractory to conventional therapeutic strategies [7, 12]. Current therapeutic strategies may slow but do not prevent the progression of vascular complications [9, 13, 14][15]. Identification of early phenotypes of vascular disease would potentially allow interventions to decrease the rate of progression and prolong the time to development of overt disease. The public health burden of type 1 diabetes is largely caused by the prevalence of vascular complications [1, 16], and for that reason there is a need for improved methods to identify people at risk for, and prevent the development and progression of, these complications. Accordingly, in this review, we examine the current evidence addressing novel mediators and therapeutic targets in type 1 diabetes.

Macrovascular disease

The mortality and morbidity of CVD are markedly increased in individuals with type 1 diabetes compared to the nondiabetic population [1, 7, 8]. Annually, up to 1–2% of young adults (28–38 years of age) with T1D develop CAD [4, 16, 17]. By their mid-forties, over 70% of men and 50% of women with T1D develop measureable coronary artery calcification (CAC) by CT scan [4, 1618] - a marker of significant atherosclerotic plaque burden. It is increasingly recognized that atherosclerosis begins in early life [19, 20]. Long-term follow-up studies have demonstrated the importance of cardiovascular risk factors during childhood, with their presence increasing the likelihood of CVD in adulthood [2123]. There is therefore a growing awareness of the importance of prevention of CVD risk factors early in the course of type 1 diabetes. Successful prevention strategies require accurate risk stratification of CVD in children and adolescents with type 1 diabetes. It is necessary to identify children with type 1 diabetes with the highest risk for CVD using objective and noninvasive studies. Advances in imaging techniques are needed to better identify early vascular changes through noninvasive imaging; including measures of arterial stiffness, impaired vasodilation and thickening of the artery wall.

Arterial stiffness has emerged as a useful marker of atherosclerosis in childhood and adolescence [2426]. It is also increasingly recognized that youth with type 1 diabetes have increased arterial stiffness compared to healthy controls [27]. Measures of arterial stiffness including pulse wave velocity (PWV), augmentation index (AIx) and brachial distensibility (BrachD) have been shown to predict future CVD and all-cause mortality [2426] (Table 1). In adolescents with type 1 diabetes, we recently reported an inverse relationship between achieving International Society of Pediatric and Adolescents Diabetes’ targets for HbA1c, LDL-C, HDL-C, TG, BMI and BP and arterial stiffness (measured by PWV, AIx and BracD) [28]. Furthermore, we have shown that apoB is strongly associated with arterial stiffness by PWV in adolescents with type 1 diabetes, and that measurement of apoB in addition to LDL-C may be helpful in stratifying CVD-risk in adolescents with type 1 diabetes and borderline LDL-C (100–129mg/dL) [29].

Table 1.

Measures of early micro- and macrovascular disease in type 1 diabetes

Outcome: Surrogate:
Atherosclerosis/macrovascular disease Arterial stiffness
  • Pulse wave velocity

  • Brachial distensibility

  • Augmentation index

Arterial thickness
  • Intima-media thickness

Arterial stenosis
  • Cardiac MRI

Diabetic nephropathy Glomerular filtration rate
  • Measured by iohexol-clearance using dried blood spots

  • Estimated by creatinine and cystatin C based equations (CKiD and Bouvet)

Diabetic retinopathy Retinal vascular geometry
Diabetic neuropathy Corneal confocal microscopy
Point-of-care nerve conduction
Nerve ultrasound
Cooling detection threshold

Atherosclerotic burden can also be assessed by artery intima-media thickness (IMT), which has been shown to predict CVD in adults [30]. Rodriguez et al. have shown that carotid IMT (cIMT) is significantly higher in adolescents with type 1 diabetes compared to non-diabetic controls (31). In adults, intensive therapy in the Diabetes Control and Complications Trial (DCCT), resulted in decreased progression of cIMT 6-years after the end of the trial [32].

Cardiac magnetic resonance imaging (CMR) is another novel method of non-invasively evaluating coronary artery disease, non-atherosclerotic myocardial damage (e.g. from microvascular disease), cardiac function and structure. A study with CMR in adults with type 1 diabetes with and without diabetic nephropathy, demonstrated a significant increase in right coronary artery mean and maximum thickness and plaque detection in type 1 diabetes with nephropathy compared to those without nephropathy [33, 34].

New biomarkers are revealing potential mechanisms responsible for the development of macrovascular disease in type 1 diabetes (Table 2). A greater understanding of these mechanisms may provide novel therapeutic targets to supplement the conventional therapies in preventing complications. Reduced insulin sensitivity is an increasingly recognized component of type 1 diabetes and is implicated in the pathogenesis of macrovascular disease [35]. We have previously demonstrated that reduced insulin sensitivity was associated with atherosclerosis in adults with type 1 diabetes [36]. The Metformin Vascular Adverse Lesions in Type 1 Diabetes (REMOVAL) trial is a promising trial underway examining the benefits of metformin on vascular complications in type 1 diabetes (NCT01483560). The Effects of Metformin on Cardiovascular Function in Adolescents With Type 1 Diabetes (EMERALD, NCT01808690) is an ongoing double-blind randomized clinical trial with metformin to evaluate if metformin will improve tissue-specific insulin resistance in T1D adolescents using the hyperinsulinemic-euglycemic clamp technique, as well as improve vascular, cardiac, exercise and muscle mitochondrial function [37].

Table 2.

Emerging markers and therapeutic targets of vascular complications of type 1 diabetes

Biomarker: Randomized control trials:
Serum uric acid The preventing early renal function loss (PERL) allopurinol study (NCT01575379)
Insulin sensitivity Metformin Vascular Adverse Lesions in Type 1 Diabetes (REMOVAL) trial (NCT01483560)
Effects of Metformin On Cardiovascular Function In Adolescents with Type 1 Diabetes (EMERALD) study (NCT01808690)
Metformin Therapy for Overweight Adolescents With Type 1 Diabetes (NCT01881828)
Sodium glucose co-transporter 2 Safety and Efficacy of Empagliflozin (BI 10773) in Type 1 Diabetes Mellitus Patients With or Without Renal Hyperfiltration (NCT01392560)
Copeptin --
Klotho/FGF-23 The COMBINE Study: The CKD Optimal Management With BInders and NicotinamidE (NCT02258074)

Increased neurohormonal activation is a key feature of macrovascular disease. Copeptin is a stable metabolite of vasopressin and the prognostic value of copeptin, as a marker of endogenous stress, has been reported for cardiovascular disease in several studies [38, 39]. Several studies have reported that plasma AVP levels are elevated in animals and patients with diabetes [4042]. Recently, Riphagen et al. demonstrated that copeptin is associated with cardiovascular and all-cause mortality in adults with type 2 diabetes. Vasopressin is a particularly promising risk factor due to its modifiable nature [43]. Vasopressin activity can be suppressed by reducing salt intake and blocking AVP receptors by vaptans [43, 44]. Studies are needed to examine whether copeptin is an important risk factor for CVD in type 1 diabetes.

Microvascular disease

In addition to macrovascular disease, microvascular disease continues to cause morbidity and mortality; for example, diabetic nephropathy remains the leading cause of end-stage renal disease and dialysis in the United States [2, 14, 45], and diabetic retinopathy and diabetic sensorimotor polyneuropathy remain leading causes of new-onset blindness and limb amputations respectively [6, 46, 47].

Diabetic nephropathy

Early detection of diabetic nephropathy has a pivotal role in the prevention of end-stage renal failure in the prevention of end-stage renal failure in diabetes [48]. The appearance of microalbuminuria is often the earliest clinical sign of diabetic nephropathy, but the paradigm of early diabetic nephropathy has been further questioned over the past few years after the demonstration that microalbuminuria does not necessarily imply progressive nephropathy, and may in fact regress to normoalbuminuria (49, 50). Furthermore, markers of early DN prior to the renal function loss, such as renal hyperfiltration (glomerular filtration rate [GFR] ≥135mL/min/1.73m2) and rapid GFR decline (annual GFR loss >3.3% or >3mL/min/1.73m2) are thought to be stronger predictors of nephropathy progression in type 1 diabetes than albuminuria [3, 5154]. For that reason, glomerular filtration rate (GFR) may be the most clinically relevant measure of kidney function in type 1 diabetes. The American Diabetes Association, National Kidney Foundation and International Society of Nephrology recommend annual measurement of estimated glomerular filtration rate (eGFR) to identify and monitor diabetic nephropathy [5557]. The most state-of-the-art equations to estimate GFR for adults are the three recently published CKD-EPI equations: CKD-EPI Creatinine, CKD-EPI Cystatin C and CKD-EPI Creatinine and Cystatin C [58], and for children and adolescents are the combined Creatinine and Cystatin C equations (e.g. CKiD, Schwartz, Bouvet etc] [59]. The creatinine and cystatin-C based eGFR equations are associated with greater variability when eGFR >60 mL/min/1.73m2 [58]. However, by the time eGFR is ≤60 mL/min/1.73m2 almost half of renal function has already been lost [56]. For that reason, improved methods to easily and accurately measure GFR as well as changes in renal function in the normal and hyperfiltration range are needed [3, 60]. Gold-standard measures of GFR with iothalamate, iohexol or inulin clearance in type 1 diabetes are impractical and not routinely performed in clinical practice. Recently, a practical method of measuring GFR by iohexol clearance using dried capillary blood spots on filter paper was shown to accurately measure GFR in adults with type 1 diabetes and could be translated to screening for early kidney disease. This method is ideally suited for people with type 1 diabetes [61] in whom early detection of nephropathy is imperative to prevent early morbidity and mortality [62].

There are also several promising biomarkers and therapeutic targets worth mentioning (Table 2). Multiple studies have linked serum uric acid (SUA) levels to diabetic nephropathy development and accumulating data have suggested that lowering SUA prevents renal function loss in animal models of diabetes and in patients with type 2 diabetes [63, 64]. To determine the role of SUA lowering in patients with T1D, the multi-center double-blind randomized clinical trial “Preventing Early Renal Function Loss - PERL”, will test the hypothesis that lowering SUA with allopurinol will prevent GFR decline measured by iohexol [65]. An additional study design innovation in PERL is the use of GFR (measured by iohexol) as the study end point allowing for assessment of therapy earlier in the pathophysiologic pathway.

Reduced insulin sensitivity is also implicated in the pathogenesis of diabetic nephropathy. We have previously demonstrated that insulin sensitivity predicts development of microalbuminuria and rapid eGFR decline by cystatin C over 6 years in patients with T1D [66], similar to data in the Epidemiology of Diabetes Complications study [67]. Despite the findings from the BARI-2D study [68] which showed no benefit of insulin sensitizing strategy on DN in subjects with type 2 diabetes, modification of insulin sensitivity is being investigated as a therapeutic target to reduce vascular complications in T1D, since both life style changes (diet and exercise) and drugs such as metformin can improve insulin sensitivity.

Sodium glucose co-transporter 2 (SGLT2) inhibitors are being investigated as a therapy to prevent progression of diabetic nephropathy in type 1 diabetes. SGLT2 inhibition with empagliflozin reduced HbA1c, but also significantly attenuated renal hyperfiltration to near normal GFR levels in patients with uncomplicated type 1 diabetes and did not lower GFR in those with normal baseline GFR [69]. Patients with type 1 diabetes also exhibited significant weight loss, HbA1c reductions and a decline in blood pressure [7072]. Concern has been raised that the mechanism of action (glycosuria) may mask the typical hyperglycemia seen with insulin insufficiency and reduce awareness of developing ketonemia and impending diabetic ketoacidosis [73]; further study is required on this class of medications in people with type 1 diabetes.

Arginine vasopressin (AVP) may also play a role in the development of diabetic nephropathy. AVP modulates tubular cell growth thereby causing vasoconstriction of the renal microcirculation and in particular in the efferent arteriole [74, 75]. Furthermore, AVP infusion induces hypertension, glomerular hyperfiltration and albuminuria [4244] and lowering the AVP concentration may provide renal protection [43, 44, 76], but requires study in humans. There is also evidence linking increased fluid intake with decreased risk for developing CKD [77]. Copeptin is a more stable peptide derived from the same precursor molecule as AVP, and appears to be a useful surrogate marker for AVP in the assessment of fluid and osmosis status in various diseases. Recently Boertien et al demonstrated copeptin predicts the estimated glomerular filtration rate decline in subjects with type 2 diabetes; however, there is little if any data on its ability to predict DN in subjects with T1D [78]. With the availability of AVP receptor antagonists (e.g. vaptans), AVP might also become a promising therapeutic target for diabetic nephropathy in the future.

As previously mentioned, part of the connection between diabetic nephropathy and macrovascular disease may be explained by dysregulation of Klotho and FGF-23 (Table 2). Klotho, a protein that is predominantly expressed in the distal tubule of the kidney, serves as a co-receptor for fibroblast growth factor 23 (FGF-23) [79]. It is thought that Klotho and FGF-23 work together to increase urinary phosphorus and calcium reabsorption, thereby in health ensuring optimal concentration of calcium and phosphorus in bone and blood. Klotho and FGF receptor 1 and 3 are expressed in human arteries with downregulation in response to phosphorus and TNFα [79]. Klotho and FGF-23 signaling inhibits vascular calcification [7981]. In contrast, decreased Klotho or Klotho resistance leads to increased vascular calcification [81]. Kidney disease is associated with decreased Klotho and/or Klotho resistance which leads to increased FGF23 concentrations and subsequent transformation of vascular smooth muscle cells to osteo- and chondrocytic cells with vascular calcification. Moreover, it is hypothesized that inflammatory states are also associated with Klotho deficiency and increased FGF23 levels [79], and that serum uric acid is a possible determinant of FGF23 metabolism [82]. Several published studies identified FGF23 as a risk factor for CKD progression [83]. In 177 patients with non-diabetic CKD, higher levels of cFGF23 and iFGF23 were independently associated with incident ESRD [84]. It is unknown whether this holds true for humans with type 1 diabetes, but recently a genetic deficiency of Klotho exacerbated early nephropathy in STZ-induced diabetes in mice [85]. Klotho and FGF-23 are not only promising biomarkers to risk stratify vascular disease in type 1 diabetes, but also a potential therapeutic agent, as Klotho administration has been shown to protect the kidney from ischemia-reperfusion injury [79, 86, 87]

Diabetic retinopathy

Diabetic retinopathy remains one of the most common microvascular complications in type 1 diabetes and is also a risk factor for other complications, with retinopathy being associated with several fold increases in the risk of cerebrovascular accidents (CVA) and CVD independent of other risk factors [3]. Data from Sydney, Australia show a decline in retinopathy in adolescents with type 1 diabetes from 1990 to 2009, which was associated with improved achievement of recommended lower glycemic targets and use of multiple daily injections and continuous subcutaneous insulin infusion in children and adolescents with type 1 diabetes [88]. Since diabetic retinopathy tends to be asymptomatic, regular screening in youth with type 1 diabetes is advised. The ADA recommends annual retinopathy screening once a child is 10 years old and has had type 1 diabetes for 3–5 years [89]. ISPAD recommends screening for retinopathy from 10 years of age, or at onset of puberty if this is earlier, with 2–5 years of diabetes duration [7]. The techniques used by general ophthalmologists and optometrists in the clinical setting may not have the resolution to detect early retinal changes in youth with type 1 diabetes. There is therefore a need for better methods to predict early DR. Improved imaging techniques and advances in computer-based retinal image analysis have allowed earlier identification of retinal changes in type 1 diabetes, and may also improve our understanding of retinal vascular parameters and diabetic retinopathy [90]. Benitez-Aguirre et al. demonstrated that retinal vascular geometry predicted incident retinopathy in young people with type 1 diabetes [9193] (Table 1). These vascular geometry measures may serve as risk markers for diabetic retinopathy and provide insight into the early structural changes in diabetic microvascular complications [9193]. The retina offers a unique opportunity to noninvasively and repeatedly examine the microvasculature in vivo.

Diabetic neuropathy

Diabetic sensorimotor polyneuropathy (DSP) is the most common complication of type 1 diabetes with important clinical sequelae including neuropathic pain, sensory and autonomic dysfunction and limb amputation [94, 95]. In fact, the lifetime risk of DSP and ulceration is respectively 50% and 25% [5, 9496]. In adolescents with type 2 diabetes in the SEARCH for Diabetes in Youth study prevalence of diabetic peripheral neuropathy approached the rates reported in adults with type 2 diabetes. The prevalence of DPN was significantly higher in youth with type 2 compared with those with type 1 diabetes (25.7 vs. 8.2%, p<0.0001) [97]. Identification of DSP at an early stage of disease will aid in risk stratification and facilitate the selection of subjects for targeted interventions [46, 47, 98].

Routinely performed clinical techniques such as neurological examination, assessment of vibration perception or insensitivity to the 10 g monofilament only evaluate advanced neuropathy. Unfortunately non-invasive techniques that examine early neuropathy including neurophysiology and quantitative sensory testing are highly subjective while more objective techniques, such as skin biopsies to quantify nerve fiber density, are invasive and not widely available. For that reason, there is a need for non-invasive and accurate methods to identify early disease. Corneal confocal microscopy is an emerging ophthalmic technique which allows quantification of corneal nerve morphology and diagnosis of peripheral neuropathy (Table 1). Ding et al. showed that individuals with diabetes and early retinal arteriolar abnormalities are more likely to have DPN independent of other major vascular risk factors, supporting the hypothesis that early microvascular dysfunction, evident in the retina, is an independent risk factor for DPN [99]. Sivaskandarajah et al. demonstrated that small nerve fiber structural morphology assessed by in vivo corneal confocal microscopy correlated well with functional measures of small nerve fiber injury [100]. Petropoulos et al reported that corneal confocal microscopy noninvasively demonstrates corneal nerve loss, which predicts neuropathy [101]. Sellers et al. performed a pilot study in children to evaluate the acceptability and feasibility of corneal confocal microscopy to detect early diabetic neuropathy in children. They demonstrated that corneal confocal microscopy is a rapid, non-invasive and well-tolerated technique that may prove to be useful for the assessment of early neuropathy in children. Detection of diabetic neuropathy at its earliest stages is important as improvement in risk factors may slow or prevents its progression and/or promote nerve regeneration [102].

Other promising techniques to evaluate early retinopathy include ultrasound assessment of posterior tibial nerve. Riazi et al. performed a cross-sectional study evaluating the association between size of the posterial tibial nerve on ultrasound and the presence and severity of diabetic sensorimotor polyneuropathy, and demonstrated a strong association, which may support the role of ultrasound as a point-of-care screening tool for DSP [103]. Point-of-care nerve conduction evaluation is being developed. Lee et al demonstrated excellent reliability and acceptable accuracy with point-of-care sural nerve conduction device for identification of diabetic neuropathy [104]. More recently, cooling detection threshold accurately detected early neuropathy [105].

Technologies and diabetic complications

Improved glucose control is the best proven method to prevent complications of type 1 diabetes [106108]. Intensive blood glucose control in the DCCT reduced the risk of retinopathy by 76%, nephropathy by 50% and neuropathy by 60% [108111]. For that reason, continuous glucose monitors and an artificial pancreas are logical efforts to optimize glycemia and prevent vascular complications related to hyperglycemia.

Fear of hypoglycemia is recognized as the most important obstacle in the path to achieve good glycemic control in the clinical setting. Continuous blood glucose monitoring system is an important aid in the management of type 1 diabetes and an essential prerequisite for closed loop systems. The superiority of continuous glucose monitors (CGMs) over self-monitoring of glucose in reducing the time spent in hypoglycemia has been demonstrated [13]. Although CGM use is currently low, it is associated with lower HbA1c in some age-groups, especially when used more frequently [112]. Significant progress has been made on artificial pancreas technology recently [113]. For example, low glucose suspend is currently available [114] and predicted low glucose suspend is in development [115]. Additionally, in two random-order, crossover studies glycemic control was superior with a bi-hormonal closed loop artificial pancreas compared to an insulin pump for 5 days in 20 adults and 32 adolescents with type 1 diabetes [116]. Patients with type 1 diabetes at a diabetes camp who were treated with an artificial-pancreas system also had less nocturnal hypoglycemia and tighter glucose control than when they were treated with insulin pumps [117].

Conclusion

A major challenge in preventing vascular complications in type 1 diabetes relates to the accurate identification of high risk patients at an early stage when injuries may be susceptible to intervention. By the time macro- and microvascular complications manifest clinically, significant vascular injuries are well established and usually refractory to conventional therapeutic strategies. For that reason, identifying risk factors and biomarkers associated with vascular complications will help us understand the mechanisms underlying the development and progression of micro- and macrovascular complications.

Acknowledgments

David M. Maahs has received grants from Medtronic and Dexcom as co-investigator and is on the Scientific Advisory Board of Insulet outside of the submitted work.

Footnotes

Conflict of Interest

Petter Bjornstad declares that he has no conflict of interest.

Compliance with Ethics Guidelines

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

References

Papers of particular interest, published recently, have been highlighted as:

* Of importance

** Of high importance

  • 1**.de Ferranti SD, de Boer IH, Fonseca V, Fox CS, Golden SH, Lavie CJ, et al. Type 1 Diabetes Mellitus and Cardiovascular Disease: A Scientific Statement From the American Heart Association and American Diabetes Association. Circulation. 2014 doi: 10.1161/CIR.0000000000000034. Epub 2014/08/13. Recent scientific statement by American Heart Association and American Diabetes Association on cardiovascular disease in type 1 diabetes. [DOI] [PubMed] [Google Scholar]
  • 2.Collins AJ, Foley RN, Herzog C, Chavers B, Gilbertson D, Ishani A, et al. US Renal Data System 2010 Annual Data Report. American journal of kidney diseases : the official journal of the National Kidney Foundation. 2011;57(1 Suppl 1):A8, e1–526. doi: 10.1053/j.ajkd.2010.10.007. Epub 2010/12/28. [DOI] [PubMed] [Google Scholar]
  • 3.Bjornstad P, Cherney D, Maahs DM. Early diabetic nephropathy in type 1 diabetes: new insights. Current opinion in endocrinology, diabetes, and obesity. 2014;21(4):279–86. doi: 10.1097/MED.0000000000000074. Epub 2014/07/02. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Krolewski AS, Kosinski EJ, Warram JH, Leland OS, Busick EJ, Asmal AC, et al. Magnitude and determinants of coronary artery disease in juvenile-onset, insulin-dependent diabetes mellitus. The American journal of cardiology. 1987;59(8):750–5. doi: 10.1016/0002-9149(87)91086-1. Epub 1987/04/01. [DOI] [PubMed] [Google Scholar]
  • 5.Boulton AJ, Vinik AI, Arezzo JC, Bril V, Feldman EL, Freeman R, et al. Diabetic neuropathies: a statement by the American Diabetes Association. Diabetes Care. 2005;28(4):956–62. doi: 10.2337/diacare.28.4.956. Epub 2005/03/29. [DOI] [PubMed] [Google Scholar]
  • 6.Fong DS, Aiello L, Gardner TW, King GL, Blankenship G, Cavallerano JD, et al. Diabetic retinopathy. Diabetes Care. 2003;26(1):226–9. doi: 10.2337/diacare.26.1.226. Epub 2002/12/28. [DOI] [PubMed] [Google Scholar]
  • 7**.Donaghue KC, Wadwa RP, Dimeglio LA, Wong TY, Chiarelli F, Marcovecchio ML, et al. Microvascular and macrovascular complications in children and adolescents. Pediatric diabetes. 2014;15 (Suppl 20):257–69. doi: 10.1111/pedi.12180. Epub 2014/09/04. Updated clinical guidelines for work-up and management of micro- and macrovascular complications in children and adolescents. [DOI] [PubMed] [Google Scholar]
  • 8.Maahs DM, Daniels SR, de Ferranti SD, Dichek HL, Flynn J, Goldstein BI, et al. Cardiovascular Disease Risk Factors in Youth With Diabetes Mellitus: A Scientific Statement From the American Heart Association. Circulation. 2014 doi: 10.1161/CIR.0000000000000094. Epub 2014/08/30. [DOI] [PubMed] [Google Scholar]
  • 9.Nambam B, DuBose SN, Nathan BM, Beck RW, Maahs DM, Wadwa RP, et al. Therapeutic inertia: underdiagnosed and undertreated hypertension in children participating in the T1D Exchange Clinic Registry. Pediatric diabetes. 2014 doi: 10.1111/pedi.12231. Epub 2014/10/22. [DOI] [PubMed] [Google Scholar]
  • 10.Cho YH, Craig ME, Hing S, Gallego PH, Poon M, Chan A, et al. Microvascular complications assessment in adolescents with 2- to 5-yr duration of type 1 diabetes from 1990 to 2006. Pediatric diabetes. 2011;12(8):682–9. doi: 10.1111/j.1399-5448.2011.00762.x. Epub 2011/03/26. [DOI] [PubMed] [Google Scholar]
  • 11.Tang M, Donaghue KC, Cho YH, Craig ME. Autonomic neuropathy in young people with type 1 diabetes: a systematic review. Pediatric diabetes. 2013;14(4):239–48. doi: 10.1111/pedi.12039. Epub 2013/05/01. [DOI] [PubMed] [Google Scholar]
  • 12.Mauer M, Drummond K. The early natural history of nephropathy in type 1 diabetes: I. Study design and baseline characteristics of the study participants. Diabetes. 2002;51(5):1572–9. doi: 10.2337/diabetes.51.5.1572. Epub 2002/04/30. [DOI] [PubMed] [Google Scholar]
  • 13.Lewis EJ, Hunsicker LG, Bain RP, Rohde RD. The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. The Collaborative Study Group. The New England journal of medicine. 1993;329(20):1456–62. doi: 10.1056/NEJM199311113292004. Epub 1993/11/11. [DOI] [PubMed] [Google Scholar]
  • 14**.Marshall SM. Diabetic nephropathy in type 1 diabetes: has the outlook improved since the 1980s? Diabetologia. 2012;55(9):2301–6. doi: 10.1007/s00125-012-2606-1. Epub 2012/06/15. Excellent review on diabetic nephropathy in type 1 diabetes and its prognosis over the last two decades. [DOI] [PubMed] [Google Scholar]
  • 15.Lind M, Svensson AM, Kosiborod M, Gudbjornsdottir S, Pivodic A, Wedel H, et al. Glycemic control and excess mortality in type 1 diabetes. The New England journal of medicine. 2014;371(21):1972–82. doi: 10.1056/NEJMoa1408214. Epub 2014/11/20. [DOI] [PubMed] [Google Scholar]
  • 16.Libby P, Nathan DM, Abraham K, Brunzell JD, Fradkin JE, Haffner SM, et al. Report of the National Heart, Lung, and Blood Institute-National Institute of Diabetes and Digestive and Kidney Diseases Working Group on Cardiovascular Complications of Type 1 Diabetes Mellitus. Circulation. 2005;111(25):3489–93. doi: 10.1161/CIRCULATIONAHA.104.529651. Epub 2005/06/29. [DOI] [PubMed] [Google Scholar]
  • 17.Olson JC, Edmundowicz D, Becker DJ, Kuller LH, Orchard TJ. Coronary calcium in adults with type 1 diabetes: a stronger correlate of clinical coronary artery disease in men than in women. Diabetes. 2000;49(9):1571–8. doi: 10.2337/diabetes.49.9.1571. Epub 2000/09/02. [DOI] [PubMed] [Google Scholar]
  • 18.Alman AC, Maahs DM, Rewers MJ, Snell-Bergeon JK. Ideal cardiovascular health and the prevalence and progression of coronary artery calcification in adults with and without type 1 diabetes. Diabetes Care. 2014;37(2):521–8. doi: 10.2337/dc13-0997. Epub 2013/10/17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Strong JP, Malcom GT, McMahan CA, Tracy RE, Newman WP, 3rd, Herderick EE, et al. Prevalence and extent of atherosclerosis in adolescents and young adults: implications for prevention from the Pathobiological Determinants of Atherosclerosis in Youth Study. JAMA : the journal of the American Medical Association. 1999;281(8):727–35. doi: 10.1001/jama.281.8.727. Epub 1999/03/03. [DOI] [PubMed] [Google Scholar]
  • 20.Krantz JS, Mack WJ, Hodis HN, Liu CR, Liu CH, Kaufman FR. Early onset of subclinical atherosclerosis in young persons with type 1 diabetes. The Journal of pediatrics. 2004;145(4):452–7. doi: 10.1016/j.jpeds.2004.06.042. Epub 2004/10/14. [DOI] [PubMed] [Google Scholar]
  • 21.Urbina EM, Srinivasan SR, Tang R, Bond MG, Kieltyka L, Berenson GS. Impact of multiple coronary risk factors on the intima-media thickness of different segments of carotid artery in healthy young adults (The Bogalusa Heart Study) The American journal of cardiology. 2002;90(9):953–8. doi: 10.1016/s0002-9149(02)02660-7. Epub 2002/10/26. [DOI] [PubMed] [Google Scholar]
  • 22.Berenson GS. Childhood risk factors predict adult risk associated with subclinical cardiovascular disease. The Bogalusa Heart Study. The American journal of cardiology. 2002;90(10C):3L–7L. doi: 10.1016/s0002-9149(02)02953-3. Epub 2002/12/03. [DOI] [PubMed] [Google Scholar]
  • 23.Nadeau KJ, Maahs DM, Daniels SR, Eckel RH. Childhood obesity and cardiovascular disease: links and prevention strategies. Nature reviews Cardiology. 2011;8(9):513–25. doi: 10.1038/nrcardio.2011.86. Epub 2011/06/15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Weber T, Auer J, O’Rourke MF, Kvas E, Lassnig E, Berent R, et al. Arterial stiffness, wave reflections, and the risk of coronary artery disease. Circulation. 2004;109(2):184–9. doi: 10.1161/01.CIR.0000105767.94169.E3. Epub 2003/12/10. [DOI] [PubMed] [Google Scholar]
  • 25.Vlachopoulos C, Aznaouridis K, Stefanadis C. Prediction of cardiovascular events and all-cause mortality with arterial stiffness: a systematic review and meta-analysis. Journal of the American College of Cardiology. 2010;55(13):1318–27. doi: 10.1016/j.jacc.2009.10.061. Epub 2010/03/27. [DOI] [PubMed] [Google Scholar]
  • 26.Urbina EM, Williams RV, Alpert BS, Collins RT, Daniels SR, Hayman L, et al. Noninvasive assessment of subclinical atherosclerosis in children and adolescents: recommendations for standard assessment for clinical research: a scientific statement from the American Heart Association. Hypertension. 2009;54(5):919–50. doi: 10.1161/HYPERTENSIONAHA.109.192639. Epub 2009/09/05. [DOI] [PubMed] [Google Scholar]
  • 27.Urbina EM, Wadwa RP, Davis C, Snively BM, Dolan LM, Daniels SR, et al. Prevalence of increased arterial stiffness in children with type 1 diabetes mellitus differs by measurement site and sex: the SEARCH for Diabetes in Youth Study. The Journal of pediatrics. 2010;156(5):731–7. 7 e1. doi: 10.1016/j.jpeds.2009.11.011. Epub 2010/01/26. [DOI] [PubMed] [Google Scholar]
  • 28.Bjornstad P, Pyle L, Nguyen N, Snell-Bergeon J, Bishop F, Wadwa P, et al. Achieving International Society for Pediatric and Adolescent Diabetes and American Diabetes Association Clinical Guidelines Offers Cardiorenal Protection for Youth with Type 1 Diabetes. Pediatr Diabetes. 2014 doi: 10.1111/pedi.12252. under review. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bjornstad P, Nguyen N, Reinick C, Maahs D, Bishop F, Clements SA, et al. Association of Apolipoprotein B, LDL-C and vascular stiffness in Adolescents with Type 1 Diabetes. Acta diabetologica. 2014 doi: 10.1007/s00592-014-0693-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bots ML, Hoes AW, Koudstaal PJ, Hofman A, Grobbee DE. Common carotid intima-media thickness and risk of stroke and myocardial infarction: the Rotterdam Study. Circulation. 1997;96(5):1432–7. doi: 10.1161/01.cir.96.5.1432. Epub 1997/10/07. [DOI] [PubMed] [Google Scholar]
  • 31.Rabago Rodriguez R, Gomez-Diaz RA, Tanus Haj J, Avelar Garnica FJ, Ramirez Soriano E, Nishimura Meguro E, et al. Carotid intima-media thickness in pediatric type 1 diabetic patients. Diabetes Care. 2007;30(10):2599–602. doi: 10.2337/dc07-0922. Epub 2007/07/24. [DOI] [PubMed] [Google Scholar]
  • 32.Nathan DM, Lachin J, Cleary P, Orchard T, Brillon DJ, Backlund JY, et al. Intensive diabetes therapy and carotid intima-media thickness in type 1 diabetes mellitus. The New England journal of medicine. 2003;348(23):2294–303. doi: 10.1056/NEJMoa022314. Epub 2003/06/06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kim WY, Astrup AS, Stuber M, Tarnow L, Falk E, Botnar RM, et al. Subclinical coronary and aortic atherosclerosis detected by magnetic resonance imaging in type 1 diabetes with and without diabetic nephropathy. Circulation. 2007;115(2):228–35. doi: 10.1161/CIRCULATIONAHA.106.633339. Epub 2006/12/28. [DOI] [PubMed] [Google Scholar]
  • 34.Turkbey EB, Backlund JY, Genuth S, Jain A, Miao C, Cleary PA, et al. Myocardial structure, function, and scar in patients with type 1 diabetes mellitus. Circulation. 2011;124(16):1737–46. doi: 10.1161/CIRCULATIONAHA.111.022327. Epub 2011/09/29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Cleland SJ, Fisher BM, Colhoun HM, Sattar N, Petrie JR. Insulin resistance in type 1 diabetes: what is ‘double diabetes’ and what are the risks? Diabetologia. 2013;56(7):1462–70. doi: 10.1007/s00125-013-2904-2. Epub 2013/04/25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Schauer IE, Snell-Bergeon JK, Bergman BC, Maahs DM, Kretowski A, Eckel RH, et al. Insulin resistance, defective insulin-mediated fatty acid suppression, and coronary artery calcification in subjects with and without type 1 diabetes: The CACTI study. Diabetes. 2011;60(1):306–14. doi: 10.2337/db10-0328. Epub 2010/10/28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Nadeau KJ, Chow K, Alam S, Lindquist K, Campbell S, McFann K, et al. Effects of low dose metformin in adolescents with type I diabetes mellitus: a randomized, double-blinded placebo-controlled study. Pediatric diabetes. 2014 doi: 10.1111/pedi.12140. Epub 2014/04/05. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Riphagen IJ, Boertien WE, Alkhalaf A, Kleefstra N, Gansevoort RT, Groenier KH, et al. Copeptin, a Surrogate Marker for Arginine Vasopressin, Is Associated With Cardiovascular and All-Cause Mortality in Patients With Type 2 Diabetes (ZODIAC-31) Diabetes Care. 2013 doi: 10.2337/dc12-2165. Epub 2013/06/13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Maisel A, Xue Y, Shah K, Mueller C, Nowak R, Peacock WF, et al. Increased 90-day mortality in patients with acute heart failure with elevated copeptin: secondary results from the Biomarkers in Acute Heart Failure (BACH) study. Circulation Heart failure. 2011;4(5):613–20. doi: 10.1161/CIRCHEARTFAILURE.110.960096. Epub 2011/07/19. [DOI] [PubMed] [Google Scholar]
  • 40.Bankir L, Bardoux P, Ahloulay M. Vasopressin and diabetes mellitus. Nephron. 2001;87(1):8–18. doi: 10.1159/000045879. Epub 2001/02/15. [DOI] [PubMed] [Google Scholar]
  • 41.Abbasi A, Corpeleijn E, Meijer E, Postmus D, Gansevoort RT, Gans RO, et al. Sex differences in the association between plasma copeptin and incident type 2 diabetes: the Prevention of Renal and Vascular Endstage Disease (PREVEND) study. Diabetologia. 2012;55(7):1963–70. doi: 10.1007/s00125-012-2545-x. Epub 2012/04/25. [DOI] [PubMed] [Google Scholar]
  • 42.Bardoux P, Martin H, Ahloulay M, Schmitt F, Bouby N, Trinh-Trang-Tan MM, et al. Vasopressin contributes to hyperfiltration, albuminuria, and renal hypertrophy in diabetes mellitus: study in vasopressin-deficient Brattleboro rats. Proceedings of the National Academy of Sciences of the United States of America. 1999;96(18):10397–402. doi: 10.1073/pnas.96.18.10397. Epub 1999/09/01. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43*.Bankir L, Bouby N, Ritz E. Vasopressin: a novel target for the prevention and retardation of kidney disease? Nature reviews Nephrology. 2013;9(4):223–39. doi: 10.1038/nrneph.2013.22. Epub 2013/02/27. Important review discussing vasopressin as a target to prevent chronic kidney disease. [DOI] [PubMed] [Google Scholar]
  • 44.Johnson RJ, Rodriguez-Iturbe B, Roncal-Jimenez C, Lanaspa MA, Ishimoto T, Nakagawa T, et al. Hyperosmolarity drives hypertension and CKD--water and salt revisited. Nature reviews Nephrology. 2014;10(7):415–20. doi: 10.1038/nrneph.2014.76. Epub 2014/05/08. [DOI] [PubMed] [Google Scholar]
  • 45.Bjornstad P, Cherney D, Maahs DM. Early Diabetic Nephropathy in Type 1 Diabetes – New Insights. Current opinion in endocrinology, diabetes, and obesity. 2014;21(August) doi: 10.1097/MED.0000000000000074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Broe R, Rasmussen ML, Frydkjaer-Olsen U, Olsen BS, Mortensen HB, Peto T, et al. The 16-year incidence, progression and regression of diabetic retinopathy in a young population-based Danish cohort with type 1 diabetes mellitus: The Danish cohort of pediatric diabetes 1987 (DCPD1987) Acta diabetologica. 2014;51(3):413–20. doi: 10.1007/s00592-013-0527-1. Epub 2013/11/07. [DOI] [PubMed] [Google Scholar]
  • 47.Hautala N, Aikkila R, Korpelainen J, Keskitalo A, Kurikka A, Falck A, et al. Marked reductions in visual impairment due to diabetic retinopathy achieved by efficient screening and timely treatment. Acta ophthalmologica. 2014;92(6):582–7. doi: 10.1111/aos.12278. Epub 2013/10/18. [DOI] [PubMed] [Google Scholar]
  • 48.Twyman S, Rowe D, Mansell P, Schapira D, Betts P, Leatherdale B. Longitudinal study of urinary albumin excretion in young diabetic patients--Wessex Diabetic Nephropathy Project. Diabetic medicine : a journal of the British Diabetic Association. 2001;18(5):402–8. doi: 10.1046/j.1464-5491.2001.00484.x. Epub 2001/07/27. [DOI] [PubMed] [Google Scholar]
  • 49.Gross JL, de Azevedo MJ, Silveiro SP, Canani LH, Caramori ML, Zelmanovitz T. Diabetic nephropathy: diagnosis, prevention, and treatment. Diabetes Care. 2005;28(1):164–76. doi: 10.2337/diacare.28.1.164. Epub 2004/12/24. [DOI] [PubMed] [Google Scholar]
  • 50.Perkins BA, Ficociello LH, Silva KH, Finkelstein DM, Warram JH, Krolewski AS. Regression of microalbuminuria in type 1 diabetes. The New England journal of medicine. 2003;348(23):2285–93. doi: 10.1056/NEJMoa021835. Epub 2003/06/06. [DOI] [PubMed] [Google Scholar]
  • 51.Maahs DM, Ogden LG, Kretowski A, Snell-Bergeon JK, Kinney GL, Berl T, et al. Serum cystatin C predicts progression of subclinical coronary atherosclerosis in individuals with type 1 diabetes. Diabetes. 2007;56(11):2774–9. doi: 10.2337/db07-0539. Epub 2007/07/31. [DOI] [PubMed] [Google Scholar]
  • 52**.Shlipak MG, Matsushita K, Arnlov J, Inker LA, Katz R, Polkinghorne KR, et al. Cystatin C versus creatinine in determining risk based on kidney function. The New England journal of medicine. 2013;369(10):932–43. doi: 10.1056/NEJMoa1214234. Epub 2013/09/06. Important original article demonstrating that the use of cystatin C alone or in combination with creatinine strengthens the association between the kidney function and the risks of death and end-stage renal disease across diverse populations. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Bjornstad P, Maahs DM, Rivard CJ, Pyle L, Rewers M, Johnson RJ, et al. Serum uric acid predicts vascular complications in adults with type 1 diabetes: the coronary artery calcification in type 1 diabetes study. Acta diabetologica. 2014 doi: 10.1007/s00592-014-0611-1. Epub 2014/06/16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Krolewski AS, Niewczas MA, Skupien J, Gohda T, Smiles A, Eckfeldt JH, et al. Early progressive renal decline precedes the onset of microalbuminuria and its progression to macroalbuminuria. Diabetes Care. 2014;37(1):226–34. doi: 10.2337/dc13-0985. Epub 2013/08/14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Standards of medical care in diabetes--2013. Diabetes Care. 2013;36 (Suppl 1):S11–66. doi: 10.2337/dc13-S011. Epub 2013/01/04. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease. American journal of kidney diseases : the official journal of the National Kidney Foundation. 2007;49(2 Suppl 2):S12–154. doi: 10.1053/j.ajkd.2006.12.005. Epub 2007/02/06. [DOI] [PubMed] [Google Scholar]
  • 57.Stevens PE, Levin A. Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Annals of internal medicine. 2013;158(11):825–30. doi: 10.7326/0003-4819-158-11-201306040-00007. Epub 2013/06/05. [DOI] [PubMed] [Google Scholar]
  • 58.Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C. The New England journal of medicine. 2012;367(1):20–9. doi: 10.1056/NEJMoa1114248. Epub 2012/07/06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Schwartz GJ, Munoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, et al. New equations to estimate GFR in children with CKD. Journal of the American Society of Nephrology : JASN. 2009;20(3):629–37. doi: 10.1681/ASN.2008030287. Epub 2009/01/23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Maahs DM. Early detection of kidney disease in type 1 diabetes: what do we really know? Diabetes Technol Ther. 2012;14(7):541–4. doi: 10.1089/dia.2012.0089. Epub 2012/05/01. [DOI] [PubMed] [Google Scholar]
  • 61*.Maahs DM, Bushman L, Kerr B, Ellis SL, Pyle L, McFann K, et al. A practical method to measure GFR in people with type 1 diabetes. Journal of diabetes and its complications. 2014;28(5):667–73. doi: 10.1016/j.jdiacomp.2014.06.001. Epub 2014/07/17. First report of iohexol clearance by dried blood spots to measure glomerular filtration rate in adults with type 1 diabetes. [DOI] [PubMed] [Google Scholar]
  • 62.Orchard TJ, Secrest AM, Miller RG, Costacou T. In the absence of renal disease, 20 year mortality risk in type 1 diabetes is comparable to that of the general population: a report from the Pittsburgh Epidemiology of Diabetes Complications Study. Diabetologia. 2010;53(11):2312–9. doi: 10.1007/s00125-010-1860-3. Epub 2010/07/29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Jalal DI, Rivard CJ, Johnson RJ, Maahs DM, McFann K, Rewers M, et al. Serum uric acid levels predict the development of albuminuria over 6 years in patients with type 1 diabetes: findings from the Coronary Artery Calcification in Type 1 Diabetes study. Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. 2010;25(6):1865–9. doi: 10.1093/ndt/gfp740. Epub 2010/01/13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Hovind P, Rossing P, Tarnow L, Johnson RJ, Parving HH. Serum uric acid as a predictor for development of diabetic nephropathy in type 1 diabetes: an inception cohort study. Diabetes. 2009;58(7):1668–71. doi: 10.2337/db09-0014. Epub 2009/05/05. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Maahs DM, Caramori L, Cherney DZ, Galecki AT, Gao C, Jalal D, et al. Uric Acid Lowering to Prevent Kidney Function Loss in Diabetes: The Preventing Early Renal Function Loss (PERL) Allopurinol Study. Curr Diab Rep. 2013 doi: 10.1007/s11892-013-0381-0. Epub 2013/05/08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Bjornstad P, Snell-Bergeon JK, Rewers M, Jalal D, Chonchol MB, Johnson RJ, et al. Early Diabetic Nephropathy: A complication of reduced insulin sensitivity in type 1 diabetes. Diabetes Care. 2013 doi: 10.2337/dc13-0631. Epub 2013/09/13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Orchard TJ, Chang YF, Ferrell RE, Petro N, Ellis DE. Nephropathy in type 1 diabetes: a manifestation of insulin resistance and multiple genetic susceptibilities? Further evidence from the Pittsburgh Epidemiology of Diabetes Complication Study. Kidney international. 2002;62(3):963–70. doi: 10.1046/j.1523-1755.2002.00507.x. Epub 2002/08/08. [DOI] [PubMed] [Google Scholar]
  • 68.Frye RL, August P, Brooks MM, Hardison RM, Kelsey SF, MacGregor JM, et al. A randomized trial of therapies for type 2 diabetes and coronary artery disease. The New England journal of medicine. 2009;360(24):2503–15. doi: 10.1056/NEJMoa0805796. Epub 2009/06/09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Cherney DZ, Perkins BA, Soleymanlou N, Maione M, Lai V, Lee A, et al. The Renal Hemodynamic Effect of SGLT2 Inhibition in Patients with Type 1 Diabetes. Circulation. 2013 doi: 10.1161/CIRCULATIONAHA.113.005081. Epub 2013/12/18. [DOI] [PubMed] [Google Scholar]
  • 70.List JF, Whaley JM. Glucose dynamics and mechanistic implications of SGLT2 inhibitors in animals and humans. Kidney international Supplement. 2011;(120):S20–7. doi: 10.1038/ki.2010.512. Epub 2011/03/05. [DOI] [PubMed] [Google Scholar]
  • 71.Idris I, Donnelly R. Sodium-glucose co-transporter-2 inhibitors: an emerging new class of oral antidiabetic drug. Diabetes, obesity & metabolism. 2009;11(2):79–88. doi: 10.1111/j.1463-1326.2008.00982.x. Epub 2009/01/08. [DOI] [PubMed] [Google Scholar]
  • 72.Schernthaner G, Gross JL, Rosenstock J, Guarisco M, Fu M, Yee J, et al. Canagliflozin compared with sitagliptin for patients with type 2 diabetes who do not have adequate glycemic control with metformin plus sulfonylurea: a 52-week randomized trial. Diabetes Care. 2013;36(9):2508–15. doi: 10.2337/dc12-2491. Epub 2013/04/09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Cherney DZ, Perkins BA. Sodium-glucose cotransporter 2 inhibition in type 1 diabetes: simultaneous glucose lowering and renal protection? Canadian journal of diabetes. 2014;38(5):356–63. doi: 10.1016/j.jcjd.2014.05.006. Epub 2014/09/07. [DOI] [PubMed] [Google Scholar]
  • 74.Torres VE. Vasopressin in chronic kidney disease: an elephant in the room? Kidney international. 2009;76(9):925–8. doi: 10.1038/ki.2009.325. Epub 2009/10/16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Bolignano D, Zoccali C. Vasopressin beyond water: implications for renal diseases. Current opinion in nephrology and hypertension. 2010;19(5):499–504. doi: 10.1097/MNH.0b013e32833d35cf. Epub 2010/08/07. [DOI] [PubMed] [Google Scholar]
  • 76.Bouby N, Bachmann S, Bichet D, Bankir L. Effect of water intake on the progression of chronic renal failure in the 5/6 nephrectomized rat. The American journal of physiology. 1990;258(4 Pt 2):F973–9. doi: 10.1152/ajprenal.1990.258.4.F973. Epub 1990/04/01. [DOI] [PubMed] [Google Scholar]
  • 77.Strippoli GF, Craig JC, Rochtchina E, Flood VM, Wang JJ, Mitchell P. Fluid and nutrient intake and risk of chronic kidney disease. Nephrology (Carlton) 2011;16(3):326–34. doi: 10.1111/j.1440-1797.2010.01415.x. Epub 2011/02/24. [DOI] [PubMed] [Google Scholar]
  • 78.Boertien WE, Riphagen IJ, Drion I, Alkhalaf A, Bakker SJ, Groenier KH, et al. Copeptin, a surrogate marker for arginine vasopressin, is associated with declining glomerular filtration in patients with diabetes mellitus (ZODIAC-33) Diabetologia. 2013;56(8):1680–8. doi: 10.1007/s00125-013-2922-0. Epub 2013/04/30. [DOI] [PubMed] [Google Scholar]
  • 79.Moe SM. Klotho: a master regulator of cardiovascular disease? Circulation. 2012;125(18):2181–3. doi: 10.1161/CIRCULATIONAHA.112.104828. Epub 2012/04/12. [DOI] [PubMed] [Google Scholar]
  • 80.Hu MC, Shi M, Zhang J, Quinones H, Griffith C, Kuro-o M, et al. Klotho deficiency causes vascular calcification in chronic kidney disease. Journal of the American Society of Nephrology : JASN. 2011;22(1):124–36. doi: 10.1681/ASN.2009121311. Epub 2010/12/01. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Lim K, Lu TS, Molostvov G, Lee C, Lam FT, Zehnder D, et al. Vascular Klotho deficiency potentiates the development of human artery calcification and mediates resistance to fibroblast growth factor 23. Circulation. 2012;125(18):2243–55. doi: 10.1161/CIRCULATIONAHA.111.053405. Epub 2012/04/12. [DOI] [PubMed] [Google Scholar]
  • 82.Bacchetta J, Cochat P, Salusky IB, Wesseling-Perry K. Uric acid and IGF1 as possible determinants of FGF23 metabolism in children with normal renal function. Pediatr Nephrol. 2012;27(7):1131–8. doi: 10.1007/s00467-012-2110-3. Epub 2012/02/09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Isakova T, Xie H, Yang W, Xie D, Anderson AH, Scialla J, et al. Fibroblast growth factor 23 and risks of mortality and end-stage renal disease in patients with chronic kidney disease. JAMA : the journal of the American Medical Association. 2011;305(23):2432–9. doi: 10.1001/jama.2011.826. Epub 2011/06/16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Fliser D, Kollerits B, Neyer U, Ankerst DP, Lhotta K, Lingenhel A, et al. Fibroblast growth factor 23 (FGF23) predicts progression of chronic kidney disease: the Mild to Moderate Kidney Disease (MMKD) Study. Journal of the American Society of Nephrology : JASN. 2007;18(9):2600–8. doi: 10.1681/ASN.2006080936. Epub 2007/07/28. [DOI] [PubMed] [Google Scholar]
  • 85.Lin Y, Kuro-o M, Sun Z. Genetic deficiency of anti-aging gene klotho exacerbates early nephropathy in STZ-induced diabetes in male mice. Endocrinology. 2013;154(10):3855–63. doi: 10.1210/en.2013-1053. Epub 2013/08/10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Panesso MC, Shi M, Cho HJ, Paek J, Ye J, Moe OW, et al. Klotho has dual protective effects on cisplatin-induced acute kidney injury. Kidney international. 2014;85(4):855–70. doi: 10.1038/ki.2013.489. Epub 2013/12/07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Lin Y, Sun Z. In Vivo Pancreatic beta Cell-Specific Expression of Anti-aging Gene Klotho, A Novel Approach for Preserving beta Cells in Type II Diabetes. Diabetes. 2014 doi: 10.2337/db14-0632. Epub 2014/11/08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Downie E, Craig ME, Hing S, Cusumano J, Chan AK, Donaghue KC. Continued reduction in the prevalence of retinopathy in adolescents with type 1 diabetes: role of insulin therapy and glycemic control. Diabetes Care. 2011;34(11):2368–73. doi: 10.2337/dc11-0102. Epub 2011/10/26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Standards of medical care in diabetes--2014. Diabetes Care. 2014;37 (Suppl 1):S14–80. doi: 10.2337/dc14-S014. Epub 2013/12/21. [DOI] [PubMed] [Google Scholar]
  • 90.Ikram MK, Cheung CY, Lorenzi M, Klein R, Jones TL, Wong TY. Retinal vascular caliber as a biomarker for diabetes microvascular complications. Diabetes Care. 2013;36(3):750–9. doi: 10.2337/dc12-1554. Epub 2013/02/23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Benitez-Aguirre P, Craig ME, Sasongko MB, Jenkins AJ, Wong TY, Wang JJ, et al. Retinal vascular geometry predicts incident retinopathy in young people with type 1 diabetes: a prospective cohort study from adolescence. Diabetes Care. 2011;34(7):1622–7. doi: 10.2337/dc10-2419. Epub 2011/05/20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Benitez-Aguirre PZ, Sasongko MB, Craig ME, Jenkins AJ, Cusumano J, Cheung N, et al. Retinal vascular geometry predicts incident renal dysfunction in young people with type 1 diabetes. Diabetes Care. 2012;35(3):599–604. doi: 10.2337/dc11-1177. Epub 2012/01/18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Sasongko MB, Wang JJ, Donaghue KC, Cheung N, Benitez-Aguirre P, Jenkins A, et al. Alterations in retinal microvascular geometry in young type 1 diabetes. Diabetes Care. 2010;33(6):1331–6. doi: 10.2337/dc10-0055. Epub 2010/03/20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Maser RE, Steenkiste AR, Dorman JS, Nielsen VK, Bass EB, Manjoo Q, et al. Epidemiological correlates of diabetic neuropathy. Report from Pittsburgh Epidemiology of Diabetes Complications Study. Diabetes. 1989;38(11):1456–61. doi: 10.2337/diab.38.11.1456. Epub 1989/11/01. [DOI] [PubMed] [Google Scholar]
  • 95.Trotta D, Verrotti A, Salladini C, Chiarelli F. Diabetic neuropathy in children and adolescents. Pediatric diabetes. 2004;5(1):44–57. doi: 10.1111/j.1399-543X.2004.00041.x. Epub 2004/03/27. [DOI] [PubMed] [Google Scholar]
  • 96.Martin CL, Albers JW, Pop-Busui R. Neuropathy and related findings in the diabetes control and complications trial/epidemiology of diabetes interventions and complications study. Diabetes Care. 2014;37(1):31–8. doi: 10.2337/dc13-2114. Epub 2013/12/21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Jaiswal M, Lauer A, Martin CL, Bell RA, Divers J, Dabelea D, et al. Peripheral neuropathy in adolescents and young adults with type 1 and type 2 diabetes from the SEARCH for Diabetes in Youth follow-up cohort: a pilot study. Diabetes Care. 2013;36(12):3903–8. doi: 10.2337/dc13-1213. Epub 2013/10/23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Welsh P, Woodward M, Hillis GS, Li Q, Marre M, Williams B, et al. Do Cardiac Biomarkers NT-proBNP and hsTnT Predict Microvascular Events in Patients With Type 2 Diabetes? Results From the ADVANCE Trial. Diabetes Care. 2014 doi: 10.2337/dc13-2625. Epub 2014/06/01. [DOI] [PubMed] [Google Scholar]
  • 99.Ding J, Cheung CY, Ikram MK, Zheng YF, Cheng CY, Lamoureux EL, et al. Early retinal arteriolar changes and peripheral neuropathy in diabetes. Diabetes Care. 2012;35(5):1098–104. doi: 10.2337/dc11-1341. Epub 2012/03/01. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Sivaskandarajah GA, Halpern EM, Lovblom LE, Weisman A, Orlov S, Bril V, et al. Structure-function relationship between corneal nerves and conventional small-fiber tests in type 1 diabetes. Diabetes Care. 2013;36(9):2748–55. doi: 10.2337/dc12-2075. Epub 2013/04/13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Petropoulos IN, Alam U, Fadavi H, Asghar O, Green P, Ponirakis G, et al. Corneal nerve loss detected with corneal confocal microscopy is symmetrical and related to the severity of diabetic polyneuropathy. Diabetes Care. 2013;36(11):3646–51. doi: 10.2337/dc13-0193. Epub 2013/07/24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Sellers EA, Clark I, Tavakoli M, Dean HJ, McGavock J, Malik RA. The acceptability and feasibility of corneal confocal microscopy to detect early diabetic neuropathy in children: a pilot study. Diabetic medicine : a journal of the British Diabetic Association. 2013;30(5):630–1. doi: 10.1111/dme.12125. Epub 2013/01/18. [DOI] [PubMed] [Google Scholar]
  • 103.Riazi S, Bril V, Perkins BA, Abbas S, Chan VW, Ngo M, et al. Can ultrasound of the tibial nerve detect diabetic peripheral neuropathy? A cross-sectional study. Diabetes Care. 2012;35(12):2575–9. doi: 10.2337/dc12-0739. Epub 2012/10/04. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Lee JA, Halpern EM, Lovblom LE, Yeung E, Bril V, Perkins BA. Reliability and validity of a point-of-care sural nerve conduction device for identification of diabetic neuropathy. PloS one. 2014;9(1):e86515. doi: 10.1371/journal.pone.0086515. Epub 2014/01/28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Lysy Z, Lovblom LE, Halpern EM, Ngo M, Ng E, Orszag A, et al. Measurement of cooling detection thresholds for identification of diabetic sensorimotor polyneuropathy in type 1 diabetes. PloS one. 2014;9(9):e106995. doi: 10.1371/journal.pone.0106995. Epub 2014/09/13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.de Boer IH, Sun W, Cleary PA, Lachin JM, Molitch ME, Steffes MW, et al. Intensive diabetes therapy and glomerular filtration rate in type 1 diabetes. The New England journal of medicine. 2011;365(25):2366–76. doi: 10.1056/NEJMoa1111732. Epub 2011/11/15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Nathan DM, Cleary PA, Backlund JY, Genuth SM, Lachin JM, Orchard TJ, et al. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. The New England journal of medicine. 2005;353(25):2643–53. doi: 10.1056/NEJMoa052187. Epub 2005/12/24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Group DR. The Effect of Intensive Treatment of Diabetes on the Development and Progression of Long-Term Complications in Insulin-Dependent Diabetes Mellitus. New England Journal of Medicine. 1993;329(14):977–86. doi: 10.1056/NEJM199309303291401. [DOI] [PubMed] [Google Scholar]
  • 109.Sustained effect of intensive treatment of type 1 diabetes mellitus on development and progression of diabetic nephropathy: the Epidemiology of Diabetes Interventions and Complications (EDIC) study. JAMA : the journal of the American Medical Association. 2003;290(16):2159–67. doi: 10.1001/jama.290.16.2159. Epub 2003/10/23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.de Boer IH, Rue TC, Cleary PA, Lachin JM, Molitch ME, Steffes MW, et al. Long-term renal outcomes of patients with type 1 diabetes mellitus and microalbuminuria: an analysis of the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications cohort. Archives of internal medicine. 2011;171(5):412–20. doi: 10.1001/archinternmed.2011.16. Epub 2011/03/16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.de Boer IH. Kidney disease and related findings in the diabetes control and complications trial/epidemiology of diabetes interventions and complications study. Diabetes Care. 2014;37(1):24–30. doi: 10.2337/dc13-2113. Epub 2013/12/21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Wong JC, Foster NC, Maahs DM, Raghinaru D, Bergenstal RM, Ahmann AJ, et al. Real-time continuous glucose monitoring among participants in the T1D Exchange clinic registry. Diabetes Care. 2014;37(10):2702–9. doi: 10.2337/dc14-0303. Epub 2014/07/12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Cefalu WT, Tamborlane WV. The artificial pancreas: are we there yet? Diabetes Care. 2014;37(5):1182–3. doi: 10.2337/dc14-0491. Epub 2014/04/24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Bergenstal RM, Klonoff DC, Garg SK, Bode BW, Meredith M, Slover RH, et al. Threshold-based insulin-pump interruption for reduction of hypoglycemia. The New England journal of medicine. 2013;369(3):224–32. doi: 10.1056/NEJMoa1303576. Epub 2013/06/25. [DOI] [PubMed] [Google Scholar]
  • 115.Maahs DM, Calhoun P, Buckingham BA, Chase HP, Hramiak I, Lum J, et al. A randomized trial of a home system to reduce nocturnal hypoglycemia in type 1 diabetes. Diabetes Care. 2014;37(7):1885–91. doi: 10.2337/dc13-2159. Epub 2014/05/09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116**.Russell SJ, El-Khatib FH, Sinha M, Magyar KL, McKeon K, Goergen LG, et al. Outpatient glycemic control with a bionic pancreas in type 1 diabetes. The New England journal of medicine. 2014;371(4):313–25. doi: 10.1056/NEJMoa1314474. Epub 2014/06/17. This original research paper demonstrates that a wearable, automated, bihormonal, bionic pancreas improved mean glycemic levels, with less frequent hypoglycemic episodes, among both adults and adolescents with type 1 diabetes mellitus as compared with an insulin pump. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Phillip M, Battelino T, Atlas E, Kordonouri O, Bratina N, Miller S, et al. Nocturnal glucose control with an artificial pancreas at a diabetes camp. The New England journal of medicine. 2013;368(9):824–33. doi: 10.1056/NEJMoa1206881. Epub 2013/03/01. [DOI] [PubMed] [Google Scholar]
  • 118.Chernavvsky DR, DeBoer MD, Keith-Hynes P, Mize B, McElwee M, Demartini S, et al. Use of an artificial pancreas among adolescents for a missed snack bolus and an underestimated meal bolus. Pediatric diabetes. 2014 doi: 10.1111/pedi.12230. Epub 2014/10/29. [DOI] [PubMed] [Google Scholar]

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