relationship between salivary beta-2 microglobulin and uremia intensity in men with chronic renal failure

This study defines the relationship between salivary beta-2 microglobulin [beta 2-M] and intensity of uremia in male patients diagnosed with chronic renal failure [CRF]. In total of 42 males were enrolled in a case-control study. There were 21 cases of CRF and 21 control cases. We collected 10cc of saliva plus 5 cc of blood from all patients to determine beta 2-M, blood urea nitrogen [BUN] and creatinine [Cr] levels. There was a correlation between the level of serum BUN and salivary urea in controls and patients, which was statistically significant for controls [p=0.028].The correlation between serum and salivary Cr was 0.195 in controls [p=0.398] and 0.598 in patients [p=0.006], which was statistically significant in patients. The correlation between serum and saliva was 0.133 [p=0.566] in controls and 0.078 [p=0.737] in patients, which was not statistically significant. The correlation between serum BUN and beta 2-M was 0.168 [p=0.469] in the control group and 0.629 [p=0.002] in patients, which was statistically significant in patients. The correlation between serum Cr and beta 2-M was 0.110 [p=0.635] in the control group and 0.678 [p=0.001] in patients, which was statistically significant in patients. The correlation between serum BUN and salivary beta 2-M was 0.093 [p=0.0690] in controls and 0.152 [p=0.152] in patients, which was not statistically significant. The correlation between serum Cr and salivary beta 2-M was 0.072 [p=0.070] in the control group and 0.286 [p=0.209] in patients, which was not statistically significant in either group. The results of the study indicated that salivary beta 2-M cannot be used as a non-invasive indicator to detect the severity of renal failure

Bedside-Friendly Prediction for Presence of Post-Myocardial lnfarction Systolic Dysfunction Using Multimarker Panel: Integrating Salivary Diagnostics into Clinical Practice

BACKGROUND AND OBJECTIVES: We investigated if a combination of plasma or salivary interleukin-2 (IL-2), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), transforming growth factor-beta (TGF-beta), and troponin can improve estimation of the pretest probability of the left ventricular systolic dysfunction (LVSD). SUBJECTS AND METHODS: Eighty patients with newly-diagnosed myocardial infarction (MI) were echocardiographically examined for LVSD (ejection fraction < or =40%). Measurements included traditional MI risk factors, plasma and salivary concentrations of troponin, IL-2, IL-6, TNF-alpha, and TGF-beta. With the LVSD as the outcome variable, we developed logistic regression models, starting with a basic model incorporating traditional risk factors and consecutively adding salivary and plasma biomarkers. Models were compared using several criteria, including (but not limited to) C statistic (discrimination) and net reclassification improvement index (NRI). RESULTS: Apart from troponin, plasma, and salivary values of the biomarkers were correlated: spearman's rho was 0.19 (p=0.088) for troponin, 0.36 (p=0.001) for IL-2, 0.74 (p<0.001) for IL-6, 0.61 (p<0.001) for TNF-alpha, and 0.65 (p<0.001) for TGF-beta. The predictive performances of the basic model for estimating the pretest probability of the presence of LVSD considerably improved when cytokines were added (salivary added: C-statistic from 0.77 to 0.82 and NRI 77%; plasma added: C-statistic to 0.80 and NRI 134%). CONCLUSION: Multiple biomarkers added diagnostic value to the standard risk factors for predicting the presence of post-MI LVSD.