RESUMO
All-trans retinoic acid (ATRA), an active metabolite of vitamin A, exerts various effects on physiological processes such as cell growth, differentiation, apoptosis and inflammation. LMX1B, a developmental LIM-homeodomain transcription factor, is widely expressed in vertebrate embryos, and it takes part in the development of diverse structures such as limbs, kidneys, eyes, brains, etc. Renal tubular epithelial cell culture was performed, and mRNA and protein expression of some factors were detected. We recently demonstrated that ATRA up-regulated the LMX1B, and down-regulated the transforming growth factor-ß1, collagen IV and fibronectin in a hypoxia/reoxygenation (H-R) injury system in renal tubular epithelial cells (RTEC). In conclusion, ATRA acts as a positive regulator of LMX1B in H-R RTEC.
Assuntos
Hipóxia Celular/efeitos dos fármacos , Células Epiteliais/patologia , Túbulos Renais/patologia , Proteínas com Homeodomínio LIM/metabolismo , Fatores de Transcrição/metabolismo , Tretinoína/farmacologia , Animais , Antineoplásicos/farmacologia , Apoptose/efeitos dos fármacos , Western Blotting , Diferenciação Celular/efeitos dos fármacos , Proliferação de Células/efeitos dos fármacos , Células Cultivadas , Colágeno Tipo IV/genética , Colágeno Tipo IV/metabolismo , Células Epiteliais/efeitos dos fármacos , Células Epiteliais/metabolismo , Túbulos Renais/efeitos dos fármacos , Túbulos Renais/lesões , Túbulos Renais/metabolismo , Proteínas com Homeodomínio LIM/genética , Estresse Oxidativo/efeitos dos fármacos , RNA Mensageiro/genética , Ratos , Reação em Cadeia da Polimerase em Tempo Real , Reação em Cadeia da Polimerase Via Transcriptase Reversa , Transdução de Sinais/efeitos dos fármacos , Fatores de Transcrição/genética , Fator de Crescimento Transformador beta1/genética , Fator de Crescimento Transformador beta1/metabolismoRESUMO
This meta-analysis was conducted to assess the association of Megsin 2093C/T, 2180C/T, C25663G gene polymorphism with the risk of IgA nephropathy (IgAN). The association literatures were identified from PubMed, Embase, Cochrane Library and CBM-disc (China Biological Medicine Database) on 1 January 2014, and eligible reports were recruited and synthesized. Seven eligible reports were recruited into this meta-analysis for the association of Megsin 2093C/T, 2180C/T, C25663G gene polymorphism with IgAN risk. In this meta-analysis, the association of Megsin 2093C/T TT genotype with IgAN risk in Asians was found. Interestingly, Megsin C25663G G allele and GG genotype were associated with the risk of IgAN in Asian population. However, Megsin 2180C/T gene polymorphism was not associated with IgAN risk in Asians. In conclusion, Megsin 2093C/T TT genotype, and C25663G G allele and GG genotype were associated with the risk of IgAN in Asian population. However, more studies should be performed in the future to confirm this association.
Assuntos
Estudos de Associação Genética , Predisposição Genética para Doença , Glomerulonefrite por IGA/genética , Serpinas/genética , Alelos , Povo Asiático/genética , Genótipo , Glomerulonefrite por IGA/patologia , Humanos , Polimorfismo de Nucleotídeo ÚnicoRESUMO
Numerous epidemiological studies have shown a close relationship between outdoor air pollution and increased risks for cancer, infection, and cardiopulmonary diseases. However, very few studies have investigated the potential health effects of coexposure to airborne particulate matter (PM) and bioaerosols through the transmission of infectious agents, particularly under the current circumstances of the coronavirus disease 2019 pandemic. In this study, we aimed to identify urinary metabolite biomarkers that might serve as clinically predictive or diagnostic standards for relevant diseases in a real-time manner. We performed an unbiased gas/liquid chromatography-mass spectroscopy (GC/LC-MS) approach to detect urinary metabolites in 92 samples from young healthy individuals collected at three different time points after exposure to clean air, polluted ambient, or purified air, as well as two additional time points after air repollution or repurification. Subsequently, we compared the metabolomic profiles between the two time points using an integrated analysis, along with Kyoto Encyclopedia of Genes and Genomes-enriched pathway and time-series analysis. We identified 33 and 155 differential metabolites (DMs) associated with PM and bioaerosol exposure using GC/LC-MS and follow-up analyses, respectively. Our findings suggest that 16-dehydroprogesterone and 4-hydroxyphenylethanol in urine samples may serve as potential biomarkers to predict or diagnose PM- or bioaerosol-related diseases, respectively. The results indicated apparent differences between PM- and bioaerosol-associated DMs at five different time points and revealed dynamic alterations in the urinary metabolic profiles of young healthy humans with cyclic exposure to clean and polluted air environments. Our findings will help in investigating the detrimental health effects of short-term coexposure to airborne PM and bioaerosols in a real-time manner and improve clinically predictive or diagnostic strategies for preventing air pollution-related diseases.