| Literature DB >> 32664699 |
Ida Pastore1, Andrea Mario Bolla1, Laura Montefusco1, Maria Elena Lunati1, Antonio Rossi1, Emma Assi2, Gian Vincenzo Zuccotti3, Paolo Fiorina1,2,4.
Abstract
The prevalence of diabetes mellitus is rising among children and adolescents worldwide. Cardiovascular diseases are the main cause of morbidity and mortality in diabetic patients. We review the impact of diabetes on establishing, during childhood and adolescence, the premises for cardiovascular diseases later in life. Interestingly, it seems that hyperglycemia is not the only factor that establishes an increased cardiovascular risk in adolescence. Other factors have been recognized to play a role in triggering the onset of latent cardiovascular diseases in the pediatric population. Among these cardiovascular risk factors, some are modifiable: glucose variability, hypoglycemia, obesity, insulin resistance, waist circumference, hypertension, dyslipidemia, smoking alcohol, microalbuminuria and smoking. Others are unmodifiable, such as diabetes duration and family history. Among the etiological factors, subclinical endothelial dysfunction represents one of the earliest key players of atherosclerosis and it can be detected during early ages in patients with diabetes. A better assessment of cardiovascular risk in pediatric population still represents a challenge for clinicians, and thus further efforts are required to properly identify and treat pediatric patients who may suffer from cardiovascular disease later in early adulthood.Entities:
Keywords: adolescents; cardiovascular risk; children; diabetes mellitus
Mesh:
Substances:
Year: 2020 PMID: 32664699 PMCID: PMC7403998 DOI: 10.3390/ijms21144928
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Modifiable and Unmodifiable Cardiovascular Risk Factors in Children and Adolescents with Diabetes.
| Modifiable Risk Factors | Unmodifiable Risk Factors |
|---|---|
| Obesity | Younger age at diabetes onset |
| Waist circumference | Diabetes duration |
| Insulin resistance | Family history |
| Hyperglycemia | |
| Hypoglycemia | |
| Glucose variability | |
| Hypertension | |
| Microalbuminuria | |
| Dyslipidemia | |
| Smoking | |
| Alchol |
Studies Evaluating Cardiovascular Biomarkers in Children and Adolescents with Diabetes.
| Author | Publication Year | Sample | Age | HbA1c | DM Duration | Peripheral Biomarkers | |||
|---|---|---|---|---|---|---|---|---|---|
| DM | HC | DM | HC | DM | HC | ||||
| Glowinska [ | 2005 | 51 | 27 | 15.5 ± 3.8 | 15.2 ± 2.1 | NA | NA | NA | ↑ sICAM-1, sVCAM, sE-selectin |
| Schwab [ | 2007 | 94 | 40 | 12.3 (8.5–16.8) | 12.3 (7.5–15.2) | 7.7 (6.8–10.0) | 4.8 (1.2–5-5) | 3.8 (1.8–9.8) | ↑ hs-CRP, L-selectin, sICAM, vWF, PAP, PAI |
| Zorena [ | 2013 | 53 | 32 | 12.5 ± 2.9 | 13.8 ± 3.3 | 7.6 ± 1.1 | 3.2 ± 0.8 | 4.3 ± 2.5 | ↑ AGEs, TNF-α, VEGF, IL-12 |
| El Samahy [ | 2013 | 50 | 50 | 9.7 ± 3.4 | 9.8 ± 3.1 | NA | NA | 4.5 ± 3.5 | ↑NO |
| Machnica [ | 2014 | 52 | 20 | 14.0 ± 3.0 | 13.0 ± 3.0 | 7.1 ± 0.9 | NA | 5.0 ± 1.9 | ↑ sVCAM, TNF-α, IL-6 |
| Eltayeb [ | 2014 | 30 | 30 | 11.1 ± 3.8 | 9.8 ± 3.5 | 9.7 ± 2.2 | 4.9 ± 0.4 | 3.9 ± 0.6 | ↑ hsCRP, CECs ↓ vitamin C |
| Aburawi 1 [ | 2016 | 79 | 47 | 18.6 ± 4.8 | 17.5 ± 4.6 | 9.4 ± 2.1 | NA | 6.8 ± 4.1 | ↑ sICAM-1, sVCAM |
| Aburawi 2 [ | 2016 | 55 | 47 | 23.3 ± 5.8 | 17.5 ± 4.6 | 7.8 ± 2.5 | NA | 4.3 ± 3.1 | ↑ sICAM-1, sVCAM |
| El-Asrar 1 [ | 2016 | 21 | 30 | 11.5 ± 3.1 | 10.7 ± 3.2 | 7.4 ± 0.9 | NA | 8.0 ± 1.6 | ↑Angiopoietin-2 |
| El-Asrar 2 [ | 2016 | 39 | 30 | 11.4 ± 3.7 | 10.7 ± 3.2 | 9.1 ± 1.3 | NA | 8.3 ± 1.8 | ↑Angiopoietin-2 |
| Sochett [ | 2017 | 51 | 59 | 14.8 (10.9–16.8) | 13.9 (10.0–17.0) | 9.0 ± 1.0 | 5.0 ± 0.0 | 6.7 (2.0–16.8) | ↑ EGF, PDGF-BB, sCD40L, PDGF-AA, GRO |
| Rostampour [ | 2017 | 29 | 29 | 11.7 ± 1.9 | 10.7 ± 2.0 | NA | NA | NA | ↑ sICAM-1 |
| Fathollahi [ | 2018 | 48 | 39 | 24.2 ± 8.2 | 28.5 ± 7.2 | NA | NA | NA | ↑ sICAM-1 = sVCAM ↓ sE-selectin |
| Karavanaki [ | 2018 | 56 | 28 | 12.0 ± 2.7 | 12.1 ± 3.3 | 8.0 ± 1.5 | 4.1 ± 0.9 | 5.4 ± 2.8 | = OPG, RANKL |
| Zhang [ | 2019 | 175 | 150 | 12.1 ± 2.5 | 12.2 ± 1.97 | 7.8 ± 1.3 | 4.9 ± 1.6 | 4.7 ± 2.4 | ↑ TNF-α, IL-4, hs-CRP, leptin |
Data are presented as mean ± SD or median (range). Abbreviations: DM, diabetes mellitus; HC, health control; NA, not available; sICAM-1, serum intercellular adhesion molecule-1; sVCAM-1, serum vascular cell adhesion molecule-1; sE-selectin, serum E-selectin; hs-CRP, high sensitivity-C reactive protein; vWF, von Willebrand factor antigen; PAP, plasmin/ α 2-antiplasmin complex; PAI, plasminogen activator inhibitor; AGEs, advanced glycation end-products; TNF-α, tumor necrosis factor-α; VEGF, vascular endothelial growth factor; IL-12, interleukin-12; NO, nitric oxide; CECs, circulating endothelial cells; EGF, endothelial growth factor; PDGF-BB, platelet-derived growth factor-BB; sCD40L, soluble cluster of differentiation 40 ligand; PDGF-AA, platelet-derived growth factor-AA; GRO, growth regulated oncogene; OPG, osteoprotegerin; RANKL, receptor activator of nuclear factor kappa ligand.
Studies Evaluating Non-invasive Vascular Test in Children and Adolescents with Diabetes.
| Author | Publication Year | Sample | Age | HbA1c | DM Duration | Non-Invasive Vascular Test | |||
|---|---|---|---|---|---|---|---|---|---|
| DM | HC | DM | HC | DM | HC | ||||
| Urbina [ | 2013 | 402 | 206 | 18.8 ± 3.3 | 19.2 ± 3.3 | 8.9 ± 1.8 | 5.0 ± 0.3 | 9.8 ± 3.8 | ↑ bulb cIMT = cIMT, PWV |
| El Samahy [ | 2013 | 50 | 50 | 9.7 ± 3.4 | 9.8 ± 3.1 | NA | NA | 4.5 ± 3.5 | ↑ cIMT |
| Eltayeb [ | 2014 | 30 | 30 | 11.1 ± 3.8 | 9.8 ± 3.5 | 9.7 ± 2.2 | 4.9 ± 0.4 | 3.9 ± 0.6 | ↑ cIMT ↓ FMD |
| Ciftel [ | 2014 | 42 | 40 | 13.2 ± 2.6 | 13.0 ± 2.8 | 9.0 ± 1.4 | NA | 6.9 ± 1.7 | ↑ cIMT ↓ FMD |
| Pezeshki Rad [ | 2014 | 40 | 40 | 10.6 ± 4.1 | 10.5 ± 3.2 | 9.4 ± 2.7 | NA | 4.2 ± 3.0 | ↑ cIMT |
| Atabek [ | 2014 | 159 | 100 | 12.3 ± 4.2 | 12.2 ± 4.5 | 9.7 ± 2.5 | 5.3 ± 1.8 | 3.8 ± 2.5 | ↑ cIMT |
| Shah [ | 2015 | 402 | 206 | 18.8 ± 3.3 | 19.2 ± 3.3 | 8.9 ± 1.8 | 5.0 ± 0.3 | 9.8 ± 3.8 | ↑ PWV |
| Bradley [ | 2016 | 199 | 178 | 14.4 ± 1.6 | 14.4 ± 2.1 | 8.5 ± 1.2 | 5.4 ± 0.2 | 7.2 ± 3.1 | ↑ = PWV |
| El-Asrar 1 [ | 2016 | 21 | 30 | 11.5 ± 3.1 | 10.7 ± 3.2 | 7.4 ± 0.9 | NA | 8.0 ± 1.6 | ↑ cIMT, aIMT |
| El-Asrar 2 [ | 2016 | 39 | 30 | 11.4 ± 3.7 | 10.7 ± 3.2 | 9.1 ± 1.3 | NA | 8.3 ± 1.8 | ↑ cIMT, aIMT |
| Terlemez [ | 2016 | 72 | 77 | 12.8 ± 3.7 | 12.3 ± 1.6 | 8.6 ± 1.9 | NA | 3.9 ± 2.6 | ↑ PWV |
| Nascimento [ | 2017 | 22 | 58 | 8.6 ± 1.7 | 8.3 ± 1.8 | 8.8 ± 1.5 | 5.3 ± 0.2 | > 5 | = FMD, cIMT |
| Nascimento [ | 2017 | 9 | 58 | 10.1 ± 1.2 | 8.3 ± 1.8 | 9.5 ± 1.7 | 5.3 ± 0.2 | < 5 | ↓FMD = cIMT |
| Rostampour [ | 2017 | 29 | 29 | 11.7 ± 1.9 | 10.7 ± 2.0 | NA | NA | NA | ↑ cIMT |
| Pillay [ | 2018 | 38 | 28 | 13.0 ± 2.9 | 13.9 ± 2.7 | 8.8(6.6–14) | 5.2(4.7–5.7) | 5.4 ± 4.6 | ↓ FMD |
| Lilje [ | 2018 | 38 | 38 | 13.4 ± 3.4 | 5.8 ± 4.3 | 9.7 ± 1.6 | NA | 5.8 ± 4.3 | ↑aIMT, fIMT = cIMT |
| Karavanaki [ | 2018 | 56 | 28 | 12.0 ± 2.7 | 12.1 ± 3.3 | 8.0 ± 1.5 | 4.1 ± 0.9 | 5.4 ± 2.8 | = cIMT |
| Zhang [ | 2019 | 175 | 150 | 12.1 ± 2.5 | 12.2 ± 1.9 | 7.8 ± 1.3 | 4.9 ± 1.6 | 4.7 ± 2.4 | ↑ cIMT, aIMT ↓ FMD |
| Podgorski [ | 2019 | 50 | 50 | 13.4 ± 3.8 | 13.1 ± 4.1 | 7.6 ± 1.2 | NA | 6.5 ± 3.8 | ↑ PWV = cIMT |
| Glackin [ | 2020 | 57 | 29 | 13.9 ± 2.3 | 15.1 ± 2.2 | 7.8 ± 1.8 | 5.3 ± 0.3 | 5.4 ± 4.1 | = cIMT |
Data are presented as mean ± SD or median (range). Abbreviations: DM, diabetes mellitus; HC, health control; NA, not available; cIMT, carotid intima media thickness; PWV, pulse wave velocity; FMD, flow mediated dilatation; aIMT, aortic intima media thickness; fIMT, femoral intima media thickness.
Effects of Hypoglycemic Therapies on Different Outcomes in Children and Adolescents with Diabetes.
| Hypoglycemic Therapy | Diabetes Control | Insulin Sensitivity | Blood Pressure | Atherogenic Profile | CV Health | Body Weight |
|---|---|---|---|---|---|---|
| Education | ↑ | NA | NA | NA | ↑ | NA |
| Diet | ↑ | ⟷ | NA | ↓ | ⟷ | ↓ |
| Physical activity | ↑ | ↑ | ⟷ | ↓ | ↑ | ↓ |
| Insulin | ↑ | ⟷ | ↑ | ↑ | ⟷ | ↑ |
| Metformin | ↑ | ↑ | ⟷ | ⟷ | ↑ | ⟷/↓ |
| GLP1RA | ↑ | NA | ⟷ | ⟷ | NA | ↓ |
Abbreviations: CV, cardiovascular; NA, not available.