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Browsing by Author "Frank, Daniel N."
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Item Infection and inflammation in chronic rhinosinusitis: Gene ontology/pathway analysis perspective(Wiley, 2022) Ramakrishnan, Vijay R.; Larson, Eric; Holt, Justin; Frank, Daniel N.; Otolaryngology -- Head and Neck Surgery, School of MedicineItem Iron in Micronutrient Powder Promotes an Unfavorable Gut Microbiota in Kenyan Infants(MDPI, 2017-07-19) Tang, Minghua; Frank, Daniel N.; Hendricks, Audrey E.; Ir, Diana; Esamai, Fabian; Liechty, Edward; Hambidge, K. Michael; Krebs, Nancy F.; Pediatrics, School of MedicineIron supplementation may have adverse health effects in infants, probably through manipulation of the gut microbiome. Previous research in low-resource settings have focused primarily on anemic infants. This was a double blind, randomized, controlled trial of home fortification comparing multiple micronutrient powder (MNP) with and without iron. Six-month-old, non- or mildly anemic, predominantly-breastfed Kenyan infants in a rural malaria-endemic area were randomized to consume: (1) MNP containing 12.5 mg iron (MNP+Fe, n = 13); (2) MNP containing no iron (MNP−Fe, n = 13); or (3) Placebo (CONTROL, n = 7), from 6–9 months of age. Fecal microbiota were profiled by high-throughput bacterial 16S rRNA gene sequencing. Markers of inflammation in serum and stool samples were also measured. At baseline, the most abundant phylum was Proteobacteria (37.6% of rRNA sequences). The proteobacterial genus Escherichia was the most abundant genus across all phyla (30.1% of sequences). At the end of the intervention, the relative abundance of Escherichia significantly decreased in MNP−Fe (−16.05 ± 6.9%, p = 0.05) and CONTROL (−19.75 ± 4.5%, p = 0.01), but not in the MNP+Fe group (−6.23 ± 9%, p = 0.41). The second most abundant genus at baseline was Bifidobacterium (17.3%), the relative abundance of which significantly decreased in MNP+Fe (−6.38 ± 2.5%, p = 0.02) and CONTROL (−8.05 ± 1.46%, p = 0.01), but not in MNP-Fe (−4.27 ± 5%, p = 0.4445). Clostridium increased in MNP-Fe only (1.9 ± 0.5%, p = 0.02). No significant differences were observed in inflammation markers, except for IL-8, which decreased in CONTROL. MNP fortification over three months in non- or mildly anemic Kenyan infants can potentially alter the gut microbiome. Consistent with previous research, addition of iron to the MNP may adversely affect the colonization of potential beneficial microbes and attenuate the decrease of potential pathogens.Item Multi-level analysis of the gut–brain axis shows autism spectrum disorder-associated molecular and microbial profiles(Springer Nature, 2023) Morton, James T.; Jin, Dong-Min; Mills, Robert H.; Shao, Yan; Rahman, Gibraan; McDonald, Daniel; Zhu, Qiyun; Balaban, Metin; Jiang, Yueyu; Cantrell, Kalen; Gonzalez, Antonio; Carmel, Julie; Frankiensztajn, Linoy Mia; Martin-Brevet, Sandra; Berding, Kirsten; Needham, Brittany D.; Zurita, María Fernanda; David, Maude; Averina, Olga V.; Kovtun, Alexey S.; Noto, Antonio; Mussap, Michele; Wang, Mingbang; Frank, Daniel N.; Li, Ellen; Zhou, Wenhao; Fanos, Vassilios; Danilenko, Valery N.; Wall, Dennis P.; Cárdenas, Paúl; Baldeón, Manuel E.; Jacquemont, Sébastien; Koren, Omry; Elliott, Evan; Xavier, Ramnik J.; Mazmanian, Sarkis K.; Knight, Rob; Gilbert, Jack A.; Donovan, Sharon M.; Lawley, Trevor D.; Carpenter, Bob; Bonneau, Richard; Taroncher-Oldenburg, Gaspar; Anatomy, Cell Biology and Physiology, School of MedicineAutism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by heterogeneous cognitive, behavioral and communication impairments. Disruption of the gut–brain axis (GBA) has been implicated in ASD although with limited reproducibility across studies. In this study, we developed a Bayesian differential ranking algorithm to identify ASD-associated molecular and taxa profiles across 10 cross-sectional microbiome datasets and 15 other datasets, including dietary patterns, metabolomics, cytokine profiles and human brain gene expression profiles. We found a functional architecture along the GBA that correlates with heterogeneity of ASD phenotypes, and it is characterized by ASD-associated amino acid, carbohydrate and lipid profiles predominantly encoded by microbial species in the genera Prevotella, Bifidobacterium, Desulfovibrio and Bacteroides and correlates with brain gene expression changes, restrictive dietary patterns and pro-inflammatory cytokine profiles. The functional architecture revealed in age-matched and sex-matched cohorts is not present in sibling-matched cohorts. We also show a strong association between temporal changes in microbiome composition and ASD phenotypes. In summary, we propose a framework to leverage multi-omic datasets from well-defined cohorts and investigate how the GBA influences ASD.