The rs705708 A allele of the ERBB3 gene is associated with lower prevalence of diabetic retinopathy and arterial hypertension and with improved renal function in type 1 diabetic patients

Massignam, Eloisa Toscan; Dieter, Cristine; Assmann, Taís Silveira; Duarte, Guilherme Coutinho Kullmann; Bauer, Andréa Carla; Canani, Luís Henrique Santos; Crispim, Daisy

doi:10.1016/j.mvr.2022.104378

Cited by 3 publications

(4 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…HK2 [269], PNPLA3 [270], CPB2 [271], SEMA4C [272], LRP2 [273], SLC5A11 [274], F11 [275], ANGPTL2 [276] and CYP2A6 [277] genes might be related to the pathophysiology of autoimmune disease. A recent study revealed that SLAMF7 [278], FCRL3 [279], CCR4 [280], GZMA (granzyme A) [281], CCR2 [282], CD48 [283], CD3E [284], CCL4 [285], FASLG (Fas ligand) [286], SLAMF1 [287], CD28 [288], IL7R [289], UBASH3A [290], CD3D [291], ICOS (inducible T cell costimulator) [292], CCL5 [293], CCL3 [294], LTF (lactotransferrin) [295], CTLA4 [296], TNFRSF9 [253], C6 [297], IL5RA [298], IL2RG [299], NPY2R [300], DRD3 [301], CD52 [302], CD163 [303], IQGAP2 [304], PRPH (peripherin) [305], MSR1 [306], HGF (hepatocyte growth factor) [307], TTR (transthyretin) [308], IL9 [309], ADM (adrenomedullin) [310], ANGPTL4 [311], CHI3L1 [312], CDH1 [313], SREBF1 [314], CDKN1C [315], TSC22D4 [316], CFTR (CF transmembrane conductance regulator) [317], INSIG1 [318], HSD17B3 [319], GREM1 [320], ATF3 [321], HK2 [322], TF (transferrin) [323], GLUL (glutamate-ammonia ligase) [324], DMRT2 [325], FN3K [326], TREH (trehalase) [327], ADAMTS4 [328], BMP2 [329], LMNA (lamin A/C) [330], ERBB3 [331], HSD11B1 [332], DLL1 [333], NKX2-2 [334], FGF11 [335], ASPA (aspartoacylase) [336], FASN (fatty acid synthase) [337], PNPLA3 [338], ADORA1 [339], WNT7A [340…”

Section: Discussionmentioning

confidence: 99%

“…SLAMF1 [237], TAB2 [256] and HGF (hepatocyte growth factor) [260] might play an important role in the onset, development, and treatment of autoimmune disease. SLAMF1 [287], CFTR (CF transmembrane conductance regulator) [317], LMNA (lamin A/C) [330], ERBB3 [331], HGF (hepatocyte growth factor) [307] and CCL5 [293] might play an important role in the pathophysiology of diabetes mellitus. TAB2 [131], LMNA (lamin A/C) [168], ERBB3 [169], HGF (hepatocyte growth factor) [135] and CCL5 [124] were abnormally expressed in cardiovascular diseases.…”

Section: Discussionmentioning

confidence: 99%

“…CFTR (CF transmembrane conductance regulator) [380], RHOB (ras homolog family member B) [396], LMNA (lamin A/C) [388], HGF (hepatocyte growth factor) [371], CCL5 [360] and NGFR (nerve growth factor receptor) [383] were altered expression in the Alzheimer’s Disease. CFTR (CF transmembrane conductance regulator) [551], LMNA (lamin A/C) [558], ERBB3 [331], HGF (hepatocyte growth factor) [494], CCL5 [540] and NGFR (nerve growth factor receptor) [554] have been demonstrated to accelerate hypertension progression. LMNA (lamin A/C) [222], HGF (hepatocyte growth factor) [212] and NGFR (nerve growth factor receptor) [220] expression migh be regarded as an indicator of susceptibility of amyotrophic lateral sclerosis.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2023

Preprint

View full text Add to dashboard Cite

Multiple sclerosis (MS) is the main reason for disability caused by autoimmunity. However, effective biomarkers for MS have not been identified. This study explored the molecular mechanisms and potential therapeutic targets for MS occurrence and progression using bioinformatics and next generation sequencing (NGS) data analysis. NGS data GSE138614, including patients with MS and 25 normal control samples, were obtained from Gene Expression Omnibus (GEO) database Differentially expressed genes (DEGs) were filtered and subjected to gene ontology (GO) and pathway enrichment analyses. Protein–protein interaction (PPI) network and module analyses were performed based on the DEGs. MiRNA-hub gene regulatory network and TF-hub gene regulatory network analysis were built by Cytoscape to predict the underlying microRNAs (miRNAs) and transcription factors (TFs) associated with hub genes. We also validated the identified hub genes via receiver operating characteristic (ROC) curve analysis. A total of 959 DEGs (479 up regulated genes and 480 down regulated genes) were detected. The GO terms and pathways of DEGs involve immune system process, developmental process, immune system and regulation of cholesterol biosynthesis by SREBP (SREBF). The network analysis revealed that hub genes include LCK, PYHIN1, SLAMF1, DOK2, TAB2, CFTR, RHOB, LMNA, EGLN3 and ERBB3 might be involved in the development of MS. The present investigation illustrates a characteristic gene profile in MS, which might contribute to the interpretation of the progression of MS and provide novel biomarkers and therapeutic targets for MS.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…También, en diabetes tipo 1, se analizaron polimorfismos del gen ERBB3 (rs705708 alelo A) y su regulador PA2G4 (rs773120), que son polimorfismos que se han estudiado por su aparente relación con el riesgo para padecer diabetes tipo 1. En este estudio no se encontró relación del rs705708 alelo A con el riesgo de padecer diabetes tipo I, pero sí con padecerla a una edad más temprana, sin embargo se encontró asociado a un menor riesgo de padecer RD e hipertensión 22 .…”

Section: Mexicana Sin Especificar Etniaunclassified

Factores de riesgo en retinopatía diabética, una perspectiva latinoamericana

López-Letayf,

Vivanco-Rojas,

Londoño-Angarita

et al. 2023

ALAD

View full text Add to dashboard Cite

Objetivo: Realizar una búsqueda de nuevos posibles factores de riesgo, biomarcadores y nuevas asociaciones de los ya conocidos, investigados en poblaciones latinoamericanas, en los últimos 10 años. Material y métodos: Se realizó una búsqueda en repositorios en los que estuvieran involucrados países de Latinoamérica y que contuviera información sobre la retinopatía diabética (RD) y los factores implicados; además, una búsqueda bibliográfica en PubMed y SciELo de los últimos diez años enfocada específicamente a determinar los factores de riesgo asociados a RD en Latinoamérica. Resultados: En los repositorios encontramos información contenida en tesis que podría ser útil en investigación en nuestra región. Se encontraron 22 publicaciones originales en el periodo. Los factores de riesgo asociados se clasificaron en estrés oxidativo, hipertensión arterial, genéticos e inflamatorios. Interesantemente, los factores inflamatorios son los que muestran una frecuencia mayor de asociación con RD, mientras que los polimorfismos no muestran una asociación con RD. Conclusiones: Tomando estos datos en su conjunto sugieren que el fenómeno de RD en nuestra región es debido a un estado de inflamación subaguda asociado a la diabetes mellitus más que o asociado a un fenómeno vasculogénico; teniendo esto en cuenta hay que analizar la eficacia en el tratamiento con antiangiogénicos intravítreos en nuestra población.

show abstract

Genetic and epigenetic factors of arterial hypertension: a bibliometric- and in-silico-based analyses

Karabaeva,

Vochshenkova,

Zare

et al. 2023

Front. Mol. Biosci.

View full text Add to dashboard Cite

Introduction: Arterial hypertension (AH) is a pervasive global health concern with multifaceted origins encompassing both genetic and environmental components. Previous research has firmly established the association between AH and diverse genetic factors. Consequently, scientists have conducted extensive genetic investigations in recent years to unravel the intricate pathophysiology of AH.Methods: In this study, we conducted a comprehensive bibliometric analysis employing VOSviewer software to identify the most noteworthy genetic factors that have been the focal point of numerous investigations within the AH field in recent years. Our analysis revealed genes and microRNAs intricately linked to AH, underscoring their pivotal roles in this condition. Additionally, we performed molecular docking analyses to ascertain microRNAs with the highest binding affinity to these identified genes. Furthermore, we constructed a network to elucidate the in-silico-based functional interactions between the identified microRNAs and genes, shedding light on their potential roles in AH pathogenesis.Results: Notably, this pioneering in silico examination of genetic factors associated with AH promises novel insights into our understanding of this complex condition. Our findings prominently highlight miR-7110-5p, miR-7110-3p, miR-663, miR-328-3p, and miR-140-5p as microRNAs exhibiting a remarkable affinity for target genes. These microRNAs hold promise as valuable diagnostic and therapeutic factors, offering new avenues for the diagnosis and treatment of AH in the foreseeable future.Conclusion: In summary, this research underscores the critical importance of genetic factors in AH and, through in silico analyses, identifies specific microRNAs with significant potential for further investigation and clinical applications in AH management.

show abstract

The rs705708 A allele of the ERBB3 gene is associated with lower prevalence of diabetic retinopathy and arterial hypertension and with improved renal function in type 1 diabetic patients

Cited by 3 publications

References 48 publications

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis

Factores de riesgo en retinopatía diabética, una perspectiva latinoamericana

Genetic and epigenetic factors of arterial hypertension: a bibliometric- and in-silico-based analyses

Contact Info

Product

Resources

About