RESUMEN
Serum 1H NMR metabolomics has been used as a diagnostic tool for screening type 2 diabetes (T2D) with chronic kidney disease (CKD) as comorbidity. This work aimed to evaluate 1H NMR data to detect the initial kidney damage and CKD in T2D subjects, through multivariate statistical analysis. Clinical data and biochemical parameters were obtained for classifying five experimental groups using KDIGO guidelines: Control (healthy subjects), T2D, T2D-CKD-mild, T2D-CKD-moderate, and T2D-CKD-severe. Serum 1H NMR spectra were recorded to follow two strategies: one based on metabolite-to-creatinine (Met/Cr) ratios as targeted metabolomics, and the second one based on untargeted metabolomics from the 1H NMR profile. A prospective biomarkers panel of the early stage of T2D-CKD based in metabolite-to-creatinine ratio (ornithine/Cr, serine/Cr, mannose/Cr, acetate/Cr, acetoacetate/Cr, formate/Cr, and glutamate/Cr) was proposed. Later, a statistical model based on non-targeted metabolomics was used to predict initial CKD, and its metabolic pathway analysis allowed identifying the most affected pathways: phenylalanine, tyrosine, and tryptophan biosynthesis; valine, leucine, and isoleucine degradation; glyoxylate and dicarboxylate metabolism; glycine, serine, and threonine metabolism; and histidine metabolism. Nonetheless, further studies with a larger cohort are advised to precise ranges in metabolite-to-creatinine ratios and evaluate the prediction pertinency to detect initial CKD in T2D patients in both statistical models proposed.
Asunto(s)
Biomarcadores , Creatinina , Diabetes Mellitus Tipo 2 , Metabolómica , Insuficiencia Renal Crónica , Humanos , Metabolómica/métodos , Diabetes Mellitus Tipo 2/sangre , Diabetes Mellitus Tipo 2/metabolismo , Masculino , Insuficiencia Renal Crónica/sangre , Insuficiencia Renal Crónica/metabolismo , Persona de Mediana Edad , Biomarcadores/sangre , Femenino , Creatinina/sangre , Anciano , Nefropatías Diabéticas/sangre , Nefropatías Diabéticas/metabolismo , Nefropatías Diabéticas/diagnóstico , Espectroscopía de Resonancia Magnética/métodos , Adulto , Estudios Prospectivos , Espectroscopía de Protones por Resonancia Magnética/métodosRESUMEN
Type 2 diabetes mellitus (DM2) is a multimorbidity, long-term condition, and one of the worldwide leading causes of chronic kidney disease (CKD) -a silent disease, usually detected when non-reversible renal damage have already occurred. New strategies and more effective laboratory methods are needed for more opportune diagnosis of DM2-CKD. This study comprises clinical parameters and nuclear magnetic resonance (NMR)-based urine metabolomics data from 60 individuals (20-65 years old, 67.7% females), sorted in 5 experimental groups (healthy subjects; diabetic patients without any clinical sign of CKD; and patients with mild, moderate, and severe DM2-CKD), according to KDIGO. DM2-CKD produces a continuous variation of the urine metabolome, characterized by an increase/decrement of a group of metabolites that can be used to monitor CKD progression (trigonelline, hippurate, phenylalanine, glycolate, dimethylamine, alanine, 2-hydroxybutyrate, lactate, and citrate). NMR profiles were used to obtain a statistical model, based on partial least squares analysis (PLS-DA) to discriminate among groups. The PLS-DA model yielded good validation parameters (sensitivity, specificity, and area under the curve (AUC) of the receiver operating characteristic curve (ROC) plot: 0.692, 0.778 and 0.912, respectively) and, thus, it can differentiate between subjects with DM2-CKD in early stages, from subjects with a mild or severe condition. This metabolic signature exhibits a molecular variation associated to DM2-CKD, and data suggests it can be used to predict risk of DM2-CKD in patients without clinical signs of renal disease, offering a new alternative to current diagnosis methods.
Asunto(s)
Diabetes Mellitus Tipo 2 , Insuficiencia Renal Crónica , Adulto , Anciano , Diabetes Mellitus Tipo 2/complicaciones , Femenino , Humanos , Espectroscopía de Resonancia Magnética/métodos , Masculino , Metaboloma , Metabolómica/métodos , Persona de Mediana Edad , Insuficiencia Renal Crónica/diagnóstico , Insuficiencia Renal Crónica/metabolismo , Adulto JovenRESUMEN
The incidence of liver diseases, such as nonalcoholic fatty liver disease and drug-induced liver injury, continues to rise and is one of the leading causes of acute hepatitis. Current trends suggest that these types of conditions will increase in the coming years. There are few drugs available for the prevention or treatment of hepatic diseases, and there is a growing need for the development of safe hepatoprotective agents. The medicinal plant, Turnera diffusa, has many ethnopharmacological uses, one of which is the production of a flavonoid named hepatodamianol, which is the principal component responsible for this plant's hepatoprotective properties. In the present study, we describe the development and standardization of an active extract obtained from T. diffusa. We conducted nuclear magnetic resonance spectroscopy to identify hepatodamianol unambiguously in each sample. Using this extract, hepatoprotection could be demonstrated in vivo for the first time. The hepatoprotective effect did not display a significant difference in vivo when compared with silymarin used as a positive control at the same doses. Implementation of quality criteria used for standardization, such as flavonoid and hepatodamianol content, hepatoprotective activity, and absence of residual solvents, will allow future preclinical trials with this herbal drug.
RESUMEN
Con una prevalencia global reportada de entre 11-13%, la enfermedad renal crónica (ERC) ha sido reconocida como un gran desafío para los sistemas de salud por sus implicaciones económicas y sociales. Al tratarse de una enfermedad crónica e irreversible, el tratamiento está dirigido a disminuir su progresión. La cuantificación de creatinina sérica es el método de elección para su diagnóstico y clasificación; sin embargo, es conocido que esta prueba tiene una sensibilidad clínica limitada, lo que ha conducido a la búsqueda de nuevos marcadores que permitan un diagnóstico y monitoreo oportuno. Desde esta perspectiva, el empleo de la metabolómica y de modelos animales ha permitido la identificación y estudio de nuevos metabolitos, candidatos a ser utilizados como futuros biomarcadores en la práctica clínica. La presente revisión tuvo como objetivo hacer una análisis de los perfiles metabolómicos reportados para la ERC, tanto en modelos experimentales como en estudios realizados en seres humanos. De acuerdo a los datos obtenidos, los metabolitos implicados en las rutas metabólicas de aminas cuaternarias y aminoácidos como el TMNO, el indoxilsulfato y derivados de la dimetilarginina representan una alternativa prometedora para la identificación, clasificación y pronóstico de la ERC.
Chronic kidney disease (CKD) high global prevalence, estimated between 11 to 13%, has been recognized as a mayor health challenge for healthcare systems due to its relevant economic and social implications. Main medical intervention strategies are directed to delay the progression of CKD and prevent outcomes. Serum creatinine concentration has been used to classify CKD and define its progression stage; however, it is well known the low sensitivity shown by this test. This fact has conducted to the search for new markers in order to improve the disease diagnosis, monitoring and treatment. In this context, metabolomics science and animal models have allowed identification of new metabolites that can be used as future biomarkers into clinical practice. This review aims to summarize the metabolomics profiles reported in different experimental models and clinical research on CKD. According with the data obtained, metabolites related with quaternary amines and aminoacid metabolic pathways like TMNO, indoxyl sulfate and dimethylarginine, suggest a promising alternative for identification, classification and prognosis of CKD.