Espectroscopia no infravermelho próximo e métodos de calibração multivariada aplicados à determinação simultânea de parâmetros bioquímicos em plasma sanguíneo

In this work, the quantitative analysis of glucose, triglycerides and cholesterol (total and HDL) in both rat and human blood plasma was performed without any kind of pretreatment of samples, by using near infrared spectroscopy (NIR) combined with multivariate methods. For this purpose, different techniques and algorithms used to pre-process data, to select variables and to build multivariate regression models were compared between each other, such as partial least squares regression (PLS), non linear regression by artificial neural networks, interval partial least squares regression (iPLS), genetic algorithm (GA), successive projections algorithm (SPA), amongst others. Related to the determinations of rat blood plasma samples, the variables selection algorithms showed satisfactory results both for the correlation coefficients (R²) and for the values of root mean square error of prediction (RMSEP) for the three analytes, especially for triglycerides and cholesterol-HDL. The RMSEP values for glucose, triglycerides and cholesterol-HDL obtained through the best PLS model were 6.08, 16.07 e 2.03 mg dL-1, respectively. In the other case, for the determinations in human blood plasma, the predictions obtained by the PLS models provided unsatisfactory results with non linear tendency and presence of bias. Then, the ANN regression was applied as an alternative to PLS, considering its ability of modeling data from non linear systems. The root mean square error of monitoring (RMSEM) for glucose, triglycerides and total cholesterol, for the best ANN models, were 13.20, 10.31 e 12.35 mg dL-1, respectively. Statistical tests (F and t) suggest that NIR spectroscopy combined with multivariate regression methods (PLS and ANN) are capable to quantify the analytes (glucose, triglycerides and cholesterol) even when they are present in highly complex biological fluids, such as blood plasma

Associação do receptor toll-like 2 com o estado pró-inflamatório do diabetes tipo 1

Inflammation has been pointed out as an important factor in development of chronic diseases, as diabetes. Hyperglycemia condition would be responsible by toll-like receptors, TLR2 and TLR4, and, consequently by local and systemic inflammation induction. Thus, the objective of present study was to evaluate type 1 Diabetes mellitus (T1DM) pro-inflammatory state through mRNA expression of TLRs 2 and 4 and proinflammatory cytokines IL-1β, IL-6 and TNF-α correlating to diabetic nephropathy. In order to achieve this objective, 76 T1DM patients and 100 normoglycemic (NG) subjects aged between 6 and 20 years were evaluated. T1DM subjects were evaluated as a total group DM1, and considering glycemic control (good glycemic control DM1G, and poor glycemic control DM1P) and considering time of diagnosis (before achieving 5 years of diagnosis DM1< 5yrs, and after achieving 5 years of diagnosis DM1 <5yrs). Metabolic control was evaluated by glucose and glycated hemoglobin concentrations; to assess renal function serum urea, creatinine, albumin, total protein and urinary albumin-to-creatinine ratio were determined and to evaluate hepatic function, AST and ALT serum activities were measured. Pro-inflammatory status was assessed by mRNA expression of TLRs 2 and 4 and the inflammatory cytokines IL-1β, IL-6 and TNF-α. Except for DM1G group (18.4%), DM1NC patients (81.6%) showed a poor glycemic control, with glycated hemoglobin (11,2%) and serum glucose (225,5 md/dL) concentrations significantly increased in relation to NG group (glucose: 76,5mg/dL and glycated hemoglobin: 6,9%). Significantly enhanced values of urea (20%) and ACR (20,8%) and diminished concentrations of albumin (5,7%) and total protein (13,6%) were found in T1DM patients, mainly associated to a poor glycemic control (DM1P increased values of urea: 20% and ACR:49%, and diminished of albumin: 13,6% and total protein:13,6%) and longer disease duration (DM1 <5yrs - increased values of urea: 20% and ACR:20,8%, and diminished of albumin: 14,3% and total protein:13,6%). As regarding pro-inflammatory status evaluation, significantly increased mRNA expressions were presented for TLR2 (37,5%), IL-1β (43%), IL-6 (44,4%) and TNF-α (15,6%) in T1DM patients in comparison to NG, mainly associated to DM1P (poor glycemic control TLR2: 82%, IL-1β: 36,8% increase) and DM1 <5yrs (longer time of diagnosis TLR2: 85,4%, IL-1β: 46,5% increased) groups. Results support the existence of an inflammatory state mediated by an increased expression of TLR2 and pro-inflammatory cytokines IL-1β, IL-6 and TNF-α in T1DM