Significant impact of body mass index on the relationship between increased white blood cell count and new-onset diabetes.

An elevated white blood cell (WBC) count has been linked to incident diabetes. WBC count has been positively associated with body mass index (BMI), and elevated BMI has been reported to be a strong predictor of future diabetes. Hence, the association of increased WBC count with the subsequent development of diabetes may be mediated by increased BMI. This study was designed to address this issue. We selected subjects from the 104,451 participants enrolled from 2012 to 2018 in the Taiwan Biobank. We only included those with complete data at baseline and follow-up and those without diabetes at baseline. Finally, 24,514 participants were enrolled in this study. During an average 3.88 years of follow-up, 248 (1.0%) of the participants had new-onset diabetes. After adjusting for demographic, clinical, and biochemical parameters, increased WBC count was associated with new-onset diabetes in all of these participants (p ≤ 0.024). After further adjustment for BMI, the association became insignificant (p = 0.096). In addition, subgroup analysis of 23,430 subjects with a normal WBC count (range: 3500-10500/µl) demonstrated that increased WBC count was significantly associated with new-onset diabetes after adjusting for demographic, clinical, and biochemical parameters (p ≤ 0.016). After further adjustment for BMI, this association was attenuated (p = 0.050). In conclusion, our results showed that BMI had a significant impact on the relationship between increased WBC count and new-onset diabetes in all study participants, and BMI also attenuated the association in those with a normal WBC count. Hence, the association between increased WBC count and the future development of diabetes may be mediated by BMI.

Comparison of a novel lateral-flow device to galactomannan assay at different time periods for detections of invasive aspergillosis.

PURPOSE: To compare a lateral-flow device (LFD) method to the galactomannan assay (GM) for the diagnosis of invasive aspergillosis (IA). METHODS: First, 20 GM-positive serum samples stored for two years were retested with both the GM and LFD assays. Second, 153 serum samples from 91 immunocompromised patients suspected of having IA were tested prospectively, including 56 hematologic malignancies and 35 chronic illnesses with steroid therapy. RESULTS: For the twenty GM-positive stored samples, only ten were positive for the repeated GM assay and none were positive for IA according to the LFD test. The concordance of the LDF with the GM test was 79.81% (83/104) if both tests were performed on the sample collection day, with the rate reducing to 67.65% (23/34) (p < 0.05) if the LFD test was performed 2-7 days after the GM test. Furthermore, there was a significant difference in the discrepancy between the GM and LFD tests between previous and no anti-mold exposure subgroups (33.33% vs. 12.31%, p < 0.01). The sensitivity and specificity of the GM test were 89.65% and 98.66%, 68.96%, and 78.67% for the LFD assay. CONCLUSION: Serum samples that have been stored long term are not suitable for re-testing with the GM or LFD assay. There was a strong correlation between the LFD and GM assay results if the tests were performed on the same day, however, this decreased if the samples were stored for more than 2 days. Additionally, previous exposure to antibiotics and/or antifungal therapy could influence the LFD results, leading to discrepancies with the GM test results.

Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count.

The accumulation of heavy metals in the body has been associated with an elevated immune response. The aim of this study was to investigate the associations among heavy metals and white blood cell (WBC) and eosinophil count in the general population in southern Taiwan. We also explored the interactions and synergetic effects of heavy metals on WBC and eosinophil count. We conducted a health survey in the general population living in southern Taiwan between June 2016 and September 2018. Seven heavy metals were measured: blood lead (Pb), and urine cadmium (Cd), copper (Cu), nickel, arsenic (As), chromium and manganese (Mn). A total of 2,447 participants were enrolled. In multivariable analysis, high concentrations of Pb (log per 1 mg/L; coefficient ß, 0.332; p = 0.005) and Cu (log per 1 µg/dL; coefficient ß, 0.476; p < 0.001) were significantly associated with a high WBC count. In addition, high concentrations of Pb (log per 1 mg/L; coefficient ß, 0.732; p < 0.001), As (log per 1 µg/L; coefficient ß, 0.133; p = 0.015), Cu (log per 1 µg/dL; coefficient ß, 0.181; p = 0.018), and Cd (log per 1 µg/L; coefficient ß, 0.139; p = 0.002) were significantly associated with a high eosinophil count. Further, the effect of interactions between Pb and As (coefficient ß, 0.721; p = 0.029) and Mn and Cu (coefficient ß, 0.482; p = 0.018) on WBC count, and As and Cu (unstandardized coefficient ß, 0.558; p = 0.002) on eosinophil count were statistically significant. In conclusion, the heavy metals Pb, As, Cu, and Cd were associated with WBC and eosinophil count. In addition, synergistic effects of heavy metal poisoning on the association with WBC and eosinophil count were also observed.