@article {106, title = {Reduction of Coronavirus Burden With Mass Azithromycin Distribution.}, journal = {Clin Infect Dis}, volume = {71}, year = {2020}, month = {2020 11 19}, pages = {2282-2284}, abstract = {

We evaluated the potential antiviral effects of azithromycin on the nasopharyngeal virome of Nigerien children who had received multiple rounds of mass drug administration. We found that the respiratory burden of non-severe acute respiratory syndrome coronaviruses was decreased with azithromycin distributions. Clinical Trials Registration. NCT02047981.

}, keywords = {Administration, Oral, Antiviral Agents, Azithromycin, Child, Preschool, Coronavirus, Coronavirus Infections, Humans, Infant, Infant, Newborn, Mass Drug Administration, Nasopharynx, Nigeria, Viral Load}, issn = {1537-6591}, doi = {10.1093/cid/ciaa606}, author = {Doan, Thuy and Hinterwirth, Armin and Arzika, Ahmed M and Worden, Lee and Chen, Cindi and Zhong, Lina and Oldenburg, Catherine E and Keenan, Jeremy D and Lietman, Thomas M} } @article {151, title = {High-throughput sequencing of pooled samples to determine community-level microbiome diversity.}, journal = {Ann Epidemiol}, volume = {39}, year = {2019}, month = {2019 11}, pages = {63-68}, abstract = {

PURPOSE: Community-level interventions in cluster randomized controlled trials may alter the gut microbiome of individuals. The current method of estimating community diversities uses microbiome data obtained from multiple individual{\textquoteright}s specimens. Here we propose randomly pooling a number of microbiome samples from the same community into one sample before sequencing to estimate community-level microbiome diversity.

METHODS: We design and analyze an experiment to compare community microbiome diversity (gamma-diversity) estimates derived from 16S rRNA gene sequencing of 1) individually sequenced specimens vs. 2) pooled specimens collected from a community. Pool sizes of 10, 20, and 40 are considered. We then compare the gamma-estimates using Pearson{\textquoteright}s correlation as well as using Bland and Altman agreement analysis for three established diversity indices including richness, Simpson{\textquoteright}s and Shannon{\textquoteright}s.

RESULTS: The gamma-diversity estimates are highly correlated, with most being statistically significant. All correlations between all three diversity estimates are significant in the 10-pooled data. Pools comprising 40 specimens are closest to the line of agreement, but all pooled samples and individual samples fall within the 95\% limits of agreement.

CONCLUSIONS: Pooling microbiome samples before DNA amplification and metagenomics sequencing to estimate community-level diversity is a viable measure to consider in population-level association research studies.

}, keywords = {Administration, Oral, Anti-Bacterial Agents, Azithromycin, Bacteria, Biodiversity, Child, Preschool, Female, Gastrointestinal Microbiome, Gastrointestinal Tract, High-Throughput Nucleotide Sequencing, Humans, Infant, Infant, Newborn, Male, Metagenomics, Microbiota, Niger, Placebos, RNA, Ribosomal, 16S, Sequence Analysis, DNA}, issn = {1873-2585}, doi = {10.1016/j.annepidem.2019.09.002}, author = {Ray, Kathryn J and Cotter, Sun Y and Arzika, Ahmed M and Kim, Jessica and Boubacar, Nameywa and Zhou, Zhaoxia and Zhong, Lina and Porco, Travis C and Keenan, Jeremy D and Lietman, Thomas M and Doan, Thuy} } @article {136, title = {Macrolide Resistance in MORDOR I - A Cluster-Randomized Trial in Niger.}, journal = {N Engl J Med}, volume = {380}, year = {2019}, month = {2019 Jun 06}, pages = {2271-2273}, keywords = {Administration, Oral, Anti-Bacterial Agents, Azithromycin, Child, Preschool, Drug Resistance, Bacterial, Humans, Infant, Macrolides, Niger, Pneumococcal Infections, Streptococcus pneumoniae}, issn = {1533-4406}, doi = {10.1056/NEJMc1901535}, author = {Doan, Thuy and Arzika, Ahmed M and Hinterwirth, Armin and Maliki, Ramatou and Zhong, Lina and Cummings, Susie and Sarkar, Samarpita and Chen, Cindi and Porco, Travis C and Keenan, Jeremy D and Lietman, Thomas M} } @article {276, title = {Gut Microbial Diversity in Antibiotic-Naive Children After Systemic Antibiotic Exposure: A Randomized Controlled Trial.}, journal = {Clin Infect Dis}, volume = {64}, year = {2017}, month = {2017 05 01}, pages = {1147-1153}, abstract = {

Background: Antibiotic exposure can alter the gut microbiome. We evaluate the effects of azithromycin on the gut microbiome diversity of children from an antibiotic-naive community in Niger.

Methods: A population-based sample of 80 children aged 1-60 months in the Dosso region of Niger was randomized to receive a single dose of either oral azithromycin or placebo. Fecal samples were collected immediately before treatment and 5 days after treatment for 16S rRNA gene sequencing. The prespecified outcome was α-diversity (inverse Simpson{\textquoteright}s α-diversity index), with secondary outcomes of β and γ Simpson{\textquoteright}s and Shannon{\textquoteright}s diversities.

Results: At 5 days after treatment, 40 children aged 1-60 months were analyzed in the azithromycin-treated group and 40 children in the placebo-treated group. Diversity of the gut microbiome was significantly lower in the treated group (inverse Simpson{\textquoteright}s α-diversity, 5.03; 95\% confidence interval [CI], 4.08-6.14) than in the placebo group (6.91; 95\% CI, 5.82-8.21; P = .03). Similarly, the Shannon{\textquoteright}s α-diversity was lower in the treated group (10.60; 95\% CI, 8.82-12.36) than the placebo group (15.42; 95\% CI, 13.24-17.80; P = .004). Simpson{\textquoteright}s community-level (γ) diversity decreased with azithromycin exposure from 17.72 (95\% CI, 13.80-20.21) to 10.10 (95\% CI, 7.80-11.40; P = .00008), although β-diversity was not significantly reduced (2.56, 95\% CI, 1.88-3.12; to 2.01, 95\% CI, 1.46-2.51; P = .26).

Conclusions: Oral administration of azithromycin definitively decreases the diversity of the gut microbiome of children in an antibiotic-naive community.

Clinical Trials Registration: NCT02048007.

}, keywords = {Administration, Oral, Anti-Bacterial Agents, Azithromycin, Bacteria, Biodiversity, Child, Preschool, Cluster Analysis, DNA, Ribosomal, Female, Gastrointestinal Microbiome, Gastrointestinal Tract, Humans, Infant, Male, Niger, Phylogeny, Placebos, RNA, Ribosomal, 16S, Sequence Analysis, DNA}, issn = {1537-6591}, doi = {10.1093/cid/cix141}, author = {Doan, Thuy and Arzika, Ahmed M and Ray, Kathryn J and Cotter, Sun Y and Kim, Jessica and Maliki, Ramatou and Zhong, Lina and Zhou, Zhaoxia and Porco, Travis C and Vanderschelden, Benjamin and Keenan, Jeremy D and Lietman, Thomas M} }