Publications

Viral infection represents a common and problematic health care issue, particularly in younger and senior populations. The respiratory tract is a major portal for microbial exposure, where viral infection can result in nonsymptomatic, mild, and self-limiting or severe and sometimes fatal infection. Although it is well established that virus-specific properties, such as longevity and replication kinetics, impact clinical manifestations, it is less well understood why distinct infectious outcomes may occur across a population of individuals infected with the same strain of virus. Emerging evidence points to interpersonal variation in pulmonary and gastrointestinal microbiome composition, and specifically to members of the Lactobacillus genus, as key components in defining respiratory viral infection outcomes. Moreover, human studies of airway microbiota after pH1N1 demonstrate that the composition of the respiratory microbiome can be modified by viral infection in a manner that enriches for pathogens associated with secondary bacterial infection. In this article, current knowledge in the field of human microbiome research, particularly as it pertains to respiratory viral infection, is reviewed.

AIM

Determination of piperaquine (PQ) in pediatric plasma requires a method with a small sample volume.

RESULTS

We report a sensitive LC-MS/MS method for quantitation of PQ with only 25 µl human plasma. Using a deuterated internal standard (PQ-d6), an analytical PFP column, APCI(+) as the ion source and MRM (535/288 for PQ and 541/294 for the IS) for detection, the method has a linear calibration range of 1.5-250 ng/ml with a runtime of 3.0 min per sample. The method was applied to plasma samples from children.

CONCLUSION

The developed LC-MS/MS method is suitable for pediatric studies with small volume plasma samples collected via capillary tubes. One limitation was the performance of PFP columns varied among different brands.

Ergonomic risks from agricultural tasks can compromise musculoskeletal health of workers. This study estimated prevalence of musculoskeletal symptoms in a sample representing almost 2 million US agricultural industry workers. This study used National Health Interview Survey data from 2004 to 2008. Weighted prevalence was calculated by demographic and employment factors. Prevalence ratios were calculated using generalized linear models with the Poisson distribution assumption. Prevalence rates of low back and neck pain in the previous 3 months were 24.3% and 10.5%, respectively, among agricultural workers. Monthly prevalence of joint pain was 17.0% for hips/knees, 9.8% for shoulders, 9.5% for wrists/hands, 5.4% for elbows, and 4.7% for ankles/toes. Agricultural workers had a significantly higher prevalence of shoulder pain than all other industry workers (prevalence ratios [PR] = 1.28, 95% confidence interval [CI]: 1.02-1.61). This study provides detailed national estimates of musculoskeletal symptom prevalence to understand the burden and the need for intervention among agricultural workers.

To estimate prevalence of multidrug-resistant tuberculosis (MDR TB) in Harare, Zimbabwe, in 2012, we performed microbiologic testing on acid-fast bacilli smear-positive sputum samples from patients previously treated for TB. Twenty (24%) of 84 specimens were consistent with MDR TB. A national drug-resistance survey is needed to determine MDR TB prevalence in Zimbabwe.

Identification and treatment of latent tuberculosis infection (LTBI) can substantially reduce the risk of developing active disease. However, there is no diagnostic gold standard for LTBI. Two tests are available for identification of LTBI: the tuberculin skin test (TST) and the gamma interferon (IFN-γ) release assay (IGRA). Evidence suggests that both TST and IGRA are acceptable but imperfect tests. They represent indirect markers of Mycobacterium tuberculosis exposure and indicate a cellular immune response to M. tuberculosis. Neither test can accurately differentiate between LTBI and active TB, distinguish reactivation from reinfection, or resolve the various stages within the spectrum of M. tuberculosis infection. Both TST and IGRA have reduced sensitivity in immunocompromised patients and have low predictive value for progression to active TB. To maximize the positive predictive value of existing tests, LTBI screening should be reserved for those who are at sufficiently high risk of progressing to disease. Such high-risk individuals may be identifiable by using multivariable risk prediction models that incorporate test results with risk factors and using serial testing to resolve underlying phenotypes. In the longer term, basic research is necessary to identify highly predictive biomarkers.

In the Comparative Risk Assessment (CRA) done as part of the Global Burden of Disease project (GBD-2010), the global and regional burdens of household air pollution (HAP) due to the use of solid cookfuels, were estimated along with 60+ other risk factors. This article describes how the HAP CRA was framed; how global HAP exposures were modeled; how diseases were judged to have sufficient evidence for inclusion; and how meta-analyses and exposure-response modeling were done to estimate relative risks. We explore relationships with the other air pollution risk factors: ambient air pollution, smoking, and secondhand smoke. We conclude with sensitivity analyses to illustrate some of the major uncertainties and recommendations for future work. We estimate that in 2010 HAP was responsible for 3.9 million premature deaths and ∼4.8% of lost healthy life years (DALYs), ranking it highest among environmental risk factors examined and one of the major risk factors of any type globally.