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Objectives: Proton pump inhibitors (PPI) used to suppress acid secretion in the stomach are among the most widely prescribed medications. There is emerging evidence of proton secretion elsewhere in the aerodigestive tract, and acidic microenvironments are integral to oral flora such as Lactobacillus. The hypothesis of this study is that the growth rate and morphology of oral Lactobacillus strains are effected by PPIs. Methods: Nineteen different strains of Lactobacilli were inoculated in microtiter plates at pH of 4.5 to 6.5 and exposed to twofold dilutions of pantoprazole at a range of 2.5 mg/mL to 2.5 μg/mL. Bacterial growth was monitored, and the minimum inhibitory concentration (MIC) of the drug was determined for the strains most sensitive to pantoprazole. Results: In the unexposed (control) group, nine Lactobacilli strains were affected by pH changes from 6.5 to 4.5. In the group exposed to pantoprazole, 9 of the 19 Lactobacilli strains were found to have an MIC below 625 μg/mL, with L. plantarum 14917 being the most sensitive (MIC = 20 μg/mL). In some strains, such as L. s. salivarius 11741, Gram-staining revealed conformational changes in the bacteria when grown in the presence of pantoprazole. Conclusion: Growth rates and morphology of oral Lactobacillus are affected by the pH of the environment. Pantoprazole at supraphysiologic doses further affects growth rates and conformation in some strains. Significance: The balance of oral flora and upper digestive tract homeostasis may be affected by unexpected targets of PPI pharmacotherapy, with possible unanticipated consequences.

Background The objective of this study was to investigate the use of novel surveillance tools in a malaria endemic region where prevalence information is limited. Specifically, online reporting for participatory epidemiology was used to gather information about malaria spread directly from the public. Individuals in India were incentivized to self-report their recent experience with malaria by micro-monetary payments. Methods Self-reports about malaria diagnosis status and related information were solicited online via Amazon's Mechanical Turk. Responders were paid $0.02 to answer survey questions regarding their recent experience with malaria. Timing of the peak volume of weekly self-reported malaria diagnosis in 2010 was compared to other available metrics such as the volume over time of and information about the epidemic from media sources. Distribution of Plasmodium species reports were compared with values from the literature. The study was conducted in summer 2010 during a malaria outbreak in Mumbai and expanded to other cities during summer 2011, and prevalence from self-reports in 2010 and 2011 was contrasted. Results Distribution of Plasmodium species diagnosis through self-report in 2010 revealed 59% for Plasmodium vivax, which is comparable to literature reports of the burden of P. vivax in India (between 50 and 69%). Self-reported Plasmodium falciparum diagnosis was 19% and during the 2010 outbreak and the estimated burden was between 10 and 15%. Prevalence between 2010 and 2011 via self-reports decreased significantly from 36.9% to 19.54% in Mumbai (p = 0.001), and official reports also confirmed a prevalence decrease in 2011. Conclusions With careful study design, micro-monetary incentives and online reporting are a rapid way to solicit malaria, and potentially other public health information. This methodology provides a cost-effective way of executing a field study that can act as a complement to traditional public health surveillance methods, offering an opportunity to obtain information about malaria activity, temporal progression, demographics affected or Plasmodium-specific diagnosis at a finer resolution than official reports can provide. The recent adoption of technologies, such as the Internet supports self-reporting mediums, and self-reporting should continue to be studied as it can foster preventative health behaviours., National Library of Medicine (U.S.) (5G08LM9776-2), National Library of Medicine (U.S.) (5R01LM010812-02), Google (Firm)