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1.
J Paediatr Child Health ; 58(6): 996-1000, 2022 06.
Article in English | MEDLINE | ID: mdl-35006634

ABSTRACT

AIM: This study aimed to evaluate the association of toll-like receptor (TLR) inflammatory cascade with the development of diabetic kidney disease (DKD) in children and adolescents with type 1 diabetes (T1D). METHODS: A total of 49 T1D patients and 49 normoglycaemic (NG) subjects aged 5-20 years old were recruited. TLR2, TLR4, MYD88, NFKB, MCP1/CCL2 and IL18 mRNA expressions were measured in peripheral blood mononuclear cells by reverse transcription-quantitative polymerase chain reaction. Fasting glucose, glycated haemoglobin, serum urea, serum creatinine and urinary albumin-to-creatinine ratio (ACR) were determined. RESULTS: The mRNA expressions of TLR2, TLR4, MYD88 and NFKB were significantly increased in the T1D group compared with the NG group. The mRNA expression levels of MCP1/CCL2 and IL18 were higher in 21 T1D patients (42.9%) (average of MCP1/CCL2: 6.6-fold and IL18: 5.8-fold) than in NG patients. Furthermore, ACR was increased in the T1D group compared with the NG group. CONCLUSION: The increased mRNA expression of TLR2, TLR4, MYD88, NFKB, MCP1/CCL2 and IL18 favours the development of an inflammatory process that may lead to a decline in renal function and consequently DKD in children and adolescents with T1D. This suggests that these genes are early mediators of onset DKD since the beginning of the lives of the paediatric T1D patients.


Subject(s)
Diabetes Mellitus, Type 1 , Diabetic Nephropathies , Adolescent , Adult , Child , Child, Preschool , Diabetes Mellitus, Type 1/complications , Diabetic Nephropathies/genetics , Diabetic Nephropathies/urine , Humans , Interleukin-18/metabolism , Leukocytes, Mononuclear/metabolism , Myeloid Differentiation Factor 88/genetics , Myeloid Differentiation Factor 88/metabolism , RNA, Messenger/genetics , RNA, Messenger/urine , Toll-Like Receptor 2/genetics , Toll-Like Receptor 2/metabolism , Toll-Like Receptor 4/genetics , Toll-Like Receptor 4/metabolism , Young Adult
2.
Birth Defects Res ; 110(1): 72-80, 2018 01 15.
Article in English | MEDLINE | ID: mdl-28949457

ABSTRACT

BACKGROUND: The World Health Organization has recognized the relevance of databases on craniofacial anomalies since . To date, there is no universal standard instrument/database focused on risk factors, clinical and genetic data collection, and follow-up that enables comparison between different populations and genotype-phenotype correlation. Although studies have shown that specific genes would impact outcomes, knowledge is not sufficient to subsidize cost-effectiveness strategies for diagnosis, surgical decision, and a multi-professional approach toward personalized medicine. METHODS: Based on a clinical genetic approach, a Web-based application named CranFlow-Craniofacial Anomalies: Registration, Flow, and Management has been developed. It prospectively collects clinical and genetic information for the Brazilian Database on Craniofacial Anomalies (syndromic and nonsyndromic orofacial cleft, 22q11.2 deletion syndrome, and other craniofacial related disorders). A comprehensive list of CranFlow's features is provided. RESULTS: We present preliminary results on 1546 cases already recorded and followed, which allows recognizing 10% of diagnosis changes. CONCLUSION: The identification of risk factors, consistent genetic approach associated with clinical data and follow-up result in valuable information to develop and improve personalized treatment and studies on genotype-phenotype correlation. Adoption of CranFlow in different clinical services may support comparison between populations. This application has the potential to contribute to improvements in healthcare, quality of services, clinical and surgical outcomes, and the standard of living of individuals with craniofacial anomalies. Birth Defects Research 110:72-80, 2018. © 2017 Wiley Periodicals, Inc.


Subject(s)
Craniofacial Abnormalities/classification , Brazil/epidemiology , Databases, Factual , Genetic Association Studies , Humans , Registries , Software
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