1
|
Hayes AMR, Lauer LT, Kao AE, Sun S, Klug ME, Tsan L, Rea JJ, Subramanian KS, Gu C, Tanios N, Ahuja A, Donohue KN, Décarie-Spain L, Fodor AA, Kanoski SE. Western diet consumption impairs memory function via dysregulated hippocampus acetylcholine signaling. Brain Behav Immun 2024; 118:408-422. [PMID: 38461956 PMCID: PMC11033683 DOI: 10.1016/j.bbi.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/16/2024] [Accepted: 03/07/2024] [Indexed: 03/12/2024] Open
Abstract
Western diet (WD) consumption during early life developmental periods is associated with impaired memory function, particularly for hippocampus (HPC)-dependent processes. We developed an early life WD rodent model associated with long-lasting HPC dysfunction to investigate the neurobiological mechanisms mediating these effects. Rats received either a cafeteria-style WD (ad libitum access to various high-fat/high-sugar foods; CAF) or standard healthy chow (CTL) during the juvenile and adolescent stages (postnatal days 26-56). Behavioral and metabolic assessments were performed both before and after a healthy diet intervention period beginning at early adulthood. Results revealed HPC-dependent contextual episodic memory impairments in CAF rats that persisted despite the healthy diet intervention. Given that dysregulated HPC acetylcholine (ACh) signaling is associated with memory impairments in humans and animal models, we examined protein markers of ACh tone in the dorsal HPC (HPCd) in CAF and CTL rats. Results revealed significantly lower protein levels of vesicular ACh transporter in the HPCd of CAF vs. CTL rats, indicating chronically reduced ACh tone. Using intensity-based ACh sensing fluorescent reporter (iAChSnFr) in vivo fiber photometry targeting the HPCd, we next revealed that ACh release during object-contextual novelty recognition was highly predictive of memory performance and was disrupted in CAF vs. CTL rats. Neuropharmacological results showed that alpha 7 nicotinic ACh receptor agonist infusion in the HPCd during training rescued memory deficits in CAF rats. Overall, these findings reveal a functional connection linking early life WD intake with long-lasting dysregulation of HPC ACh signaling, thereby identifying an underlying mechanism for WD-associated memory impairments.
Collapse
Affiliation(s)
- Anna M R Hayes
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Logan Tierno Lauer
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Alicia E Kao
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Molly E Klug
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Linda Tsan
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Jessica J Rea
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Keshav S Subramanian
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Cindy Gu
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Natalie Tanios
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Arun Ahuja
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Kristen N Donohue
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Léa Décarie-Spain
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Scott E Kanoski
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA.
| |
Collapse
|
2
|
Yerke A, Fry Brumit D, Fodor AA. Proportion-based normalizations outperform compositional data transformations in machine learning applications. Microbiome 2024; 12:45. [PMID: 38443997 PMCID: PMC10913632 DOI: 10.1186/s40168-023-01747-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 12/22/2023] [Indexed: 03/07/2024]
Abstract
BACKGROUND Normalization, as a pre-processing step, can significantly affect the resolution of machine learning analysis for microbiome studies. There are countless options for normalization scheme selection. In this study, we examined compositionally aware algorithms including the additive log ratio (alr), the centered log ratio (clr), and a recent evolution of the isometric log ratio (ilr) in the form of balance trees made with the PhILR R package. We also looked at compositionally naïve transformations such as raw counts tables and several transformations that are based on relative abundance, such as proportions, the Hellinger transformation, and a transformation based on the logarithm of proportions (which we call "lognorm"). RESULTS In our evaluation, we used 65 metadata variables culled from four publicly available datasets at the amplicon sequence variant (ASV) level with a random forest machine learning algorithm. We found that different common pre-processing steps in the creation of the balance trees made very little difference in overall performance. Overall, we found that the compositionally aware data transformations such as alr, clr, and ilr (PhILR) performed generally slightly worse or only as well as compositionally naïve transformations. However, relative abundance-based transformations outperformed most other transformations by a small but reliably statistically significant margin. CONCLUSIONS Our results suggest that minimizing the complexity of transformations while correcting for read depth may be a generally preferable strategy in preparing data for machine learning compared to more sophisticated, but more complex, transformations that attempt to better correct for compositionality. Video Abstract.
Collapse
Affiliation(s)
- Aaron Yerke
- Department of Bioinformatics and Genomics, Bioinformatics Building, UNC Charlotte, The University of North Carolina, Charlotte 9331 Robert D. Snyder Rd, Charlotte, USA
- Food Components and Health Laboratory, USDA, ARS, Beltsville Human Nutrition Research Center, Beltsville, USA
| | - Daisy Fry Brumit
- Department of Bioinformatics and Genomics, Bioinformatics Building, UNC Charlotte, The University of North Carolina, Charlotte 9331 Robert D. Snyder Rd, Charlotte, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, Bioinformatics Building, UNC Charlotte, The University of North Carolina, Charlotte 9331 Robert D. Snyder Rd, Charlotte, USA.
| |
Collapse
|
3
|
Zeng K, Brewster R, Kang JB, Tkachenko E, Brooks E, Bhatt AS, Fodor AA, Andermann TM. Acute Steroid-Refractory Gastrointestinal Graft-Versus-Host Disease Is Not Associated With Significant Differences in Gut Taxonomic Composition Compared to Steroid-Sensitive Gastrointestinal Graft-Versus-Host Disease Immediately Before Onset of Disease. Transplant Cell Ther 2024; 30:237.e1-237.e9. [PMID: 37944820 PMCID: PMC10872415 DOI: 10.1016/j.jtct.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 10/15/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
Taxonomic composition of the gut microbiota at the time of neutrophil engraftment is associated with the development of acute gastrointestinal graft-versus-host disease (GI GVHD) in patients undergoing allogeneic hematopoietic stem cell transplantation. However, less is known about the relationship between the gut microbiota and development of steroid-refractory GI GVHD immediately before the onset of disease. Markers of steroid-refractory GI GVHD are needed to identify patients who may benefit from the early initiation of non-corticosteroid-based GVHD treatment. Our aim was to identify differences in taxonomic composition in stool samples from patients without GVHD, with steroid-responsive GVHD and with steroid-refractory GI GVHD to identify predictive microbiome biomarkers of steroid-refractory GI GVHD. We conducted a retrospective case-control, single institution study, performing shotgun metagenomic sequencing on stool samples from patients with (n = 36) and without GVHD (n = 34) matched for time since transplantation. We compared the taxonomic composition of the gut microbiome in those with steroid-sensitive GI GVHD (n = 17) and steroid-refractory GI GVHD (n = 19) to each other and to those without GVHD. We also performed associations between steroid-refractory GI GVHD, gut taxonomic composition, and fecal calprotectin, a marker of GI GVHD to develop composite fecal markers of steroid-refractory GVHD before the onset of GI disease. We found that fecal samples within 30 days of GVHD onset from patients with and without GVHD or with and without steroid-refractory GI GVHD did not differ significantly in Shannon diversity (alpha-diversity) or in overall taxonomic composition (beta-diversity). Although those patients without GVHD had higher relative abundance of Clostridium spp., those with and without steroid-refractory GI GVHD did not significantly differ in taxonomic composition between one another. In our study, fecal calprotectin before disease onset was significantly higher in patients with GVHD compared to those without GVHD and higher in patients with steroid-refractory GI GVHD compared to steroid-sensitive GI GVHD. No taxa were significantly associated with higher levels of calprotectin.
Collapse
Affiliation(s)
- Ke Zeng
- Department of Bioinformatics and Genomics University of North Carolina at Charlotte Charlotte, North Carolina
| | - Ryan Brewster
- Department of Pediatrics Boston Children's Hospital Boston, Massachusetts
| | - Joyce B Kang
- School of Medicine Harvard Boston, Massachusetts
| | | | - Erin Brooks
- Department of Medicine Division of Hematology Stanford University, Stanford, California
| | - Ami S Bhatt
- Department of Genetics, Stanford University, Stanford, California; Department of Medicine, Division of Blood and Marrow Transplantation, Stanford University, Stanford, California
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics University of North Carolina at Charlotte Charlotte, North Carolina
| | - Tessa M Andermann
- Department of Medicine Division of Infectious Diseases University of North Carolina at Chapel Hill Chapel Hill, North Carolina.
| |
Collapse
|
4
|
Gray SM, Moss AD, Herzog JW, Kashiwagi S, Liu B, Young JB, Sun S, Bhatt A, Fodor AA, Balfour Sartor R. Mouse Adaptation of Human Inflammatory Bowel Diseases Microbiota Enhances Colonization Efficiency and Alters Microbiome Aggressiveness Depending on Recipient Colonic Inflammatory Environment. bioRxiv 2024:2024.01.23.576862. [PMID: 38328082 PMCID: PMC10849574 DOI: 10.1101/2024.01.23.576862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Understanding the cause vs consequence relationship of gut inflammation and microbial dysbiosis in inflammatory bowel diseases (IBD) requires a reproducible mouse model of human-microbiota-driven experimental colitis. Our study demonstrated that human fecal microbiota transplant (FMT) transfer efficiency is an underappreciated source of experimental variability in human microbiota associated (HMA) mice. Pooled human IBD patient fecal microbiota engrafted germ-free (GF) mice with low amplicon sequence variant (ASV)-level transfer efficiency, resulting in high recipient-to-recipient variation of microbiota composition and colitis severity in HMA Il-10-/- mice. In contrast, mouse-to-mouse transfer of mouse-adapted human IBD patient microbiota transferred with high efficiency and low compositional variability resulting in highly consistent and reproducible colitis phenotypes in recipient Il-10-/- mice. Human-to-mouse FMT caused a population bottleneck with reassembly of microbiota composition that was host inflammatory environment specific. Mouse-adaptation in the inflamed Il-10-/- host reassembled a more aggressive microbiota that induced more severe colitis in serial transplant to Il-10-/- mice than the distinct microbiota reassembled in non-inflamed WT hosts. Our findings support a model of IBD pathogenesis in which host inflammation promotes aggressive resident bacteria, which further drives a feed-forward process of dysbiosis exacerbated gut inflammation. This model implies that effective management of IBD requires treating both the dysregulated host immune response and aggressive inflammation-driven microbiota. We propose that our mouse-adapted human microbiota model is an optimized, reproducible, and rigorous system to study human microbiome-driven disease phenotypes, which may be generalized to mouse models of other human microbiota-modulated diseases, including metabolic syndrome/obesity, diabetes, autoimmune diseases, and cancer.
Collapse
Affiliation(s)
- Simon M. Gray
- These authors contributed equally to this work
- Center for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anh D. Moss
- These authors contributed equally to this work
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Jeremy W. Herzog
- Center for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Saori Kashiwagi
- Center for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Bo Liu
- Center for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jacqueline B. Young
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Aadra Bhatt
- Center for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anthony A. Fodor
- These authors contributed equally to this work
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - R. Balfour Sartor
- These authors contributed equally to this work
- Center for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- National Gnotobiotic Rodent Resource Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| |
Collapse
|
5
|
Bhatt AP, Arnold JW, Awoniyi M, Sun S, Santiago VF, Quintela PH, Walsh K, Ngobeni R, Hansen B, Gulati A, Carroll IM, Azcarate-Peril MA, Fodor AA, Swann J, Bartelt LA. Giardia Antagonizes Beneficial Functions of Indigenous and Therapeutic Intestinal Bacteria during Malnutrition. bioRxiv 2024:2024.01.22.575921. [PMID: 38328247 PMCID: PMC10849499 DOI: 10.1101/2024.01.22.575921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Undernutrition in children commonly disrupts the structure and function of the small intestinal microbial community, leading to enteropathies, compromised metabolic health, and impaired growth and development. The mechanisms by which diet and microbes mediate the balance between commensal and pathogenic intestinal flora remain elusive. In a murine model of undernutrition, we investigated the direct interactions Giardia lamblia, a prevalent small intestinal pathogen, on indigenous microbiota and specifically on Lactobacillus strains known for their mucosal and growth homeostatic properties. Our research reveals that Giardia colonization shifts the balance of lactic acid bacteria, causing a relative decrease in Lactobacillus spp . and an increase in Bifidobacterium spp . This alteration corresponds with a decrease in multiple indicators of mucosal and nutritional homeostasis. Additionally, protein-deficient conditions coupled with Giardia infection exacerbate the rise of primary bile acids and susceptibility to bile acid-induced intestinal barrier damage. In epithelial cell monolayers, Lactobacillus spp . mitigated bile acid-induced permeability, showing strain-dependent protective effects. In vivo, L. plantarum, either alone or within a Lactobacillus spp consortium, facilitated growth in protein-deficient mice, an effect attenuated by Giardia , despite not inhibiting Lactobacillus colonization. These results highlight Giardia's potential role as a disruptor of probiotic functional activity, underscoring the imperative for further research into the complex interactions between parasites and bacteria under conditions of nutritional deficiency.
Collapse
|
6
|
Bleich RM, Li C, Sun S, Ahn JH, Dogan B, Barlogio CJ, Broberg CA, Franks AR, Bulik-Sullivan E, Carroll IM, Simpson KW, Fodor AA, Arthur JC. A consortia of clinical E. coli strains with distinct in vitro adherent/invasive properties establish their own co-colonization niche and shape the intestinal microbiota in inflammation-susceptible mice. Microbiome 2023; 11:277. [PMID: 38124090 PMCID: PMC10731797 DOI: 10.1186/s40168-023-01710-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 10/26/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Inflammatory bowel disease (IBD) patients experience recurrent episodes of intestinal inflammation and often follow an unpredictable disease course. Mucosal colonization with adherent-invasive Escherichia coli (AIEC) are believed to perpetuate intestinal inflammation. However, it remains unclear if the 24-year-old AIEC in vitro definition fully predicts mucosal colonization in vivo. To fill this gap, we have developed a novel molecular barcoding approach to distinguish strain variants in the gut and have integrated this approach to explore mucosal colonization of distinct patient-derived E. coli isolates in gnotobiotic mouse models of colitis. RESULTS Germ-free inflammation-susceptible interleukin-10-deficient (Il10-/-) and inflammation-resistant WT mice were colonized with a consortium of AIEC and non-AIEC strains, then given a murine fecal transplant to provide niche competition. E. coli strains isolated from human intestinal tissue were each marked with a unique molecular barcode that permits identification and quantification by barcode-targeted sequencing. 16S rRNA sequencing was used to evaluate the microbiome response to E. coli colonization. Our data reveal that specific AIEC and non-AIEC strains reproducibly colonize the intestinal mucosa of WT and Il10-/- mice. These E. coli expand in Il10-/- mice during inflammation and induce compositional dysbiosis to the microbiome in an inflammation-dependent manner. In turn, specific microbes co-evolve in inflamed mice, potentially diversifying E. coli colonization patterns. We observed no selectivity in E. coli colonization patterns in the fecal contents, indicating minimal selective pressure in this niche from host-microbe and interbacterial interactions. Because select AIEC and non-AIEC strains colonize the mucosa, this suggests the in vitro AIEC definition may not fully predict in vivo colonization potential. Further comparison of seven E. coli genomes pinpointed unique genomic features contained only in highly colonizing strains (two AIEC and two non-AIEC). Those colonization-associated features may convey metabolic advantages (e.g., iron acquisition and carbohydrate consumption) to promote efficient mucosal colonization. CONCLUSIONS Our findings establish the in vivo mucosal colonizer, not necessarily AIEC, as a principal dysbiosis driver through crosstalk with host and associated microbes. Furthermore, we highlight the utility of high-throughput screens to decode the in vivo colonization dynamics of patient-derived bacteria in murine models. Video Abstract.
Collapse
Affiliation(s)
- Rachel M Bleich
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biology, Appalachian State University, Boone, NC, USA
| | - Chuang Li
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Shan Sun
- College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Ju-Hyun Ahn
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Belgin Dogan
- Department of Clinical Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Cassandra J Barlogio
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christopher A Broberg
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Adrienne R Franks
- Center for Gastrointestinal Biology & Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Emily Bulik-Sullivan
- Center for Gastrointestinal Biology & Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ian M Carroll
- Center for Gastrointestinal Biology & Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kenneth W Simpson
- Department of Clinical Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Anthony A Fodor
- College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Janelle C Arthur
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Center for Gastrointestinal Biology & Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| |
Collapse
|
7
|
Camp KK, Coleman MF, McFarlane TL, Doerstling SS, Khatib SA, Rezeli ET, Lewis AG, Pfeil AJ, Smith LA, Bowers LW, Fouladi F, Gong W, Glenny EM, Parker JS, Milne GL, Carroll IM, Fodor AA, Seeley RJ, Hursting SD. Calorie restriction outperforms bariatric surgery in a murine model of obesity and triple-negative breast cancer. JCI Insight 2023; 8:e172868. [PMID: 37698918 PMCID: PMC10629811 DOI: 10.1172/jci.insight.172868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/29/2023] [Indexed: 09/14/2023] Open
Abstract
Obesity promotes triple-negative breast cancer (TNBC), and effective interventions are urgently needed to break the obesity-TNBC link. Epidemiologic studies indicate that bariatric surgery reduces TNBC risk, while evidence is limited or conflicted for weight loss via low-fat diet (LFD) or calorie restriction (CR). Using a murine model of obesity-driven TNBC, we compared the antitumor effects of vertical sleeve gastrectomy (VSG) with LFD, chronic CR, and intermittent CR. Each intervention generated weight and fat loss and suppressed tumor growth relative to obese mice (greatest suppression with CR). VSG and CR regimens exerted both similar and unique effects, as assessed using multiomics approaches, in reversing obesity-associated transcript, epigenetics, secretome, and microbiota changes and restoring antitumor immunity. Thus, in a murine model of TNBC, bariatric surgery and CR each reverse obesity-driven tumor growth via shared and distinct antitumor mechanisms, and CR is superior to VSG in reversing obesity's procancer effects.
Collapse
Affiliation(s)
- Kristina K. Camp
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Michael F. Coleman
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Tori L. McFarlane
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Steven S. Doerstling
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Subreen A. Khatib
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Erika T. Rezeli
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Alfor G. Lewis
- Department of Surgery, University of Michigan, Ann Arbor, Michigan, USA
| | - Alexander J. Pfeil
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Laura A. Smith
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Laura W. Bowers
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Farnaz Fouladi
- College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Weida Gong
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Elaine M. Glenny
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Joel S. Parker
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ginger L. Milne
- Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Ian M. Carroll
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Anthony A. Fodor
- College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Randy J. Seeley
- Department of Surgery, University of Michigan, Ann Arbor, Michigan, USA
| | - Stephen D. Hursting
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, North Carolina, USA
| |
Collapse
|
8
|
Busing JD, Fouladi F, Bulik-Sullivan EC, Carroll IM, Fodor AA, Thomsen KF, Gulati AS, Nicholson MR. Gut Microbial Changes Following Fecal Microbiota Transplantation for D-Lactic Acidosis in Two Children. JPGN Rep 2023; 4:e319. [PMID: 37600604 PMCID: PMC10435018 DOI: 10.1097/pg9.0000000000000319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 03/05/2023] [Indexed: 08/22/2023]
Abstract
D-lactic acidosis (D-LA) is an uncommon complication of short bowel syndrome characterized by elevated plasma D-lactate and encephalopathy. Treatments include rehydration, dietary carbohydrate restriction, and antibiotics to alter the gut microbiota. Fecal microbiota transplantation (FMT) has recently been used in children to successfully treat D-LA. We compared the clinical course and then utilized metagenomic shotgun sequencing to describe changes in the composition and function of the intestinal microbiome following FMT in 2 patients with recurrent D-LA. FMT altered the composition of the fecal microbiota in these 2 patients with recurrent D-LA, though not necessarily in a consistent manner. Importantly, microbial metabolic pathways were also impacted by FMT, which may be critical for achieving desired clinical outcomes. While sample size limits the generalizability of our results, these findings set the stage for further understanding of the role of microbes in the pathogenesis of recurrent D-LA.
Collapse
Affiliation(s)
- Jordan D. Busing
- From the Department of Pediatric Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, TN
| | - Farnaz Fouladi
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC
| | | | - Ian M. Carroll
- Department of Nutrition, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC
| | - Kelly F. Thomsen
- From the Department of Pediatric Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, TN
| | - Ajay S. Gulati
- Department of Pediatric Gastroenterology, Hepatology, and Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Maribeth R. Nicholson
- From the Department of Pediatric Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, TN
| |
Collapse
|
9
|
Sorgen AA, Fodor AA, Steffen KJ, Carroll IM, Bond DS, Crosby R, Heinberg LJ. Longer-Term Weight Loss Outcomes Are Not Primarily Driven by Diet Following Roux-en-Y Gastric Bypass and Sleeve Gastrectomy. Nutrients 2023; 15:3323. [PMID: 37571260 PMCID: PMC10420962 DOI: 10.3390/nu15153323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/11/2023] [Accepted: 07/19/2023] [Indexed: 08/13/2023] Open
Abstract
Metabolic and bariatric surgery (MBS) is the most effective long-term treatment for Class III obesity. Reduced dietary intake is considered a behavioral driver of post-surgical weight loss, but limited data have examined this association. Therefore, this study examined prospective, longitudinal relationships between dietary intake and weight loss over 24 months following Roux-en-Y Gastric Bypass and Sleeve Gastrectomy. Relationships between weight loss and dietary intake were examined using a validated 24-h dietary recall method. Associations between total energy/macronutrient intake and weight loss outcomes were assessed at 12-, 18-, and 24-months following MBS, defining patients as "responders" and "suboptimal responders". Consistent with previous literature, 12-month responders and suboptimal responders showed significant associations between weight loss and energy (p = 0.018), protein (p = 0.002), and total fat intake (p = 0.005). However, this study also revealed that many of these associations are no longer significant 24 months post-MBS (p > 0.05), despite consistent weight loss trends. This study suggests a short-term signal between these dietary factors and weight loss outcomes 12 months post-MBS; however, this signal does not persist beyond 12 months. These results are essential for interpreting and designing clinical studies measuring long-term post-surgical weight loss outcomes.
Collapse
Affiliation(s)
- Alicia A. Sorgen
- Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC 28223, USA; (A.A.S.); (A.A.F.)
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC 28223, USA; (A.A.S.); (A.A.F.)
| | - Kristine J. Steffen
- Department of Pharmaceutical Sciences, College of Health Professions, North Dakota State University, Fargo, ND 58103, USA;
- Sanford Center for Biobehavioral Research, Fargo, ND 58122, USA;
| | - Ian M. Carroll
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Dale S. Bond
- Departments of Surgery and Research, Hartford Hospital/Hartford Healthcare, Hartford, CT 06106, USA;
| | - Ross Crosby
- Sanford Center for Biobehavioral Research, Fargo, ND 58122, USA;
| | - Leslie J. Heinberg
- Department of Psychiatry and Psychology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH 44195, USA
| |
Collapse
|
10
|
Hayes AMR, Lauer LT, Kao AE, Sun S, Klug ME, Tsan L, Rea JJ, Subramanian KS, Gu C, Tanios N, Ahuja A, Donohue KN, Décarie-Spain L, Fodor AA, Kanoski SE. Western diet consumption impairs memory function via dysregulated hippocampus acetylcholine signaling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.21.550120. [PMID: 37546790 PMCID: PMC10401939 DOI: 10.1101/2023.07.21.550120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Western diet (WD) consumption during development yields long-lasting memory impairments, yet the underlying neurobiological mechanisms remain elusive. Here we developed an early life WD rodent model to evaluate whether dysregulated hippocampus (HPC) acetylcholine (ACh) signaling, a pathology associated with memory impairment in human dementia, is causally-related to WD-induced cognitive impairment. Rats received a cafeteria-style WD (access to various high-fat/high-sugar foods; CAF) or healthy chow (CTL) during the juvenile and adolescent periods (postnatal days 26-56). Behavioral, metabolic, and microbiome assessments were performed both before and after a 30-day healthy diet intervention beginning at early adulthood. Results revealed CAF-induced HPC-dependent contextual episodic memory impairments that persisted despite healthy diet intervention, whereas CAF was not associated with long-term changes in body weight, body composition, glucose tolerance, anxiety-like behavior, or gut microbiome. HPC immunoblot analyses after the healthy diet intervention identified reduced levels of vesicular ACh transporter in CAF vs. CTL rats, indicative of chronically reduced HPC ACh tone. To determine whether these changes were functionally related to memory impairments, we evaluated temporal HPC ACh binding via ACh-sensing fluorescent reporter in vivo fiber photometry during memory testing, as well as whether the memory impairments could be rescued pharmacologically. Results revealed dynamic HPC ACh binding during object-contextual novelty recognition was highly predictive of memory performance and was disrupted in CAF vs. CTL rats. Further, HPC alpha-7 nicotinic receptor agonist infusion during consolidation rescued memory deficits in CAF rats. Overall, these findings identify dysregulated HPC ACh signaling as a mechanism underlying early life WD-associated memory impairments.
Collapse
Affiliation(s)
- Anna M R Hayes
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Logan Tierno Lauer
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Alicia E Kao
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Molly E Klug
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Linda Tsan
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Jessica J Rea
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Keshav S Subramanian
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Cindy Gu
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Natalie Tanios
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Arun Ahuja
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Kristen N Donohue
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Léa Décarie-Spain
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Scott E Kanoski
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
11
|
Giallourou N, Arnold J, McQuade ETR, Awoniyi M, Becket RVT, Walsh K, Herzog J, Gulati AS, Carroll IM, Montgomery S, Quintela PH, Faust AM, Singer SM, Fodor AA, Ahmad T, Mahfuz M, Mduma E, Walongo T, Guerrant RL, Balfour Sartor R, Swann JR, Kosek MN, Bartelt LA. Giardia hinders growth by disrupting nutrient metabolism independent of inflammatory enteropathy. Nat Commun 2023; 14:2840. [PMID: 37202423 PMCID: PMC10195804 DOI: 10.1038/s41467-023-38363-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 04/27/2023] [Indexed: 05/20/2023] Open
Abstract
Giardia lamblia (Giardia) is among the most common intestinal pathogens in children in low- and middle-income countries (LMICs). Although Giardia associates with early-life linear growth restriction, mechanistic explanations for Giardia-associated growth impairments remain elusive. Unlike other intestinal pathogens associated with constrained linear growth that cause intestinal or systemic inflammation or both, Giardia seldom associates with chronic inflammation in these children. Here we leverage the MAL-ED longitudinal birth cohort and a model of Giardia mono-association in gnotobiotic and immunodeficient mice to propose an alternative pathogenesis of this parasite. In children, Giardia results in linear growth deficits and gut permeability that are dose-dependent and independent of intestinal markers of inflammation. The estimates of these findings vary between children in different MAL-ED sites. In a representative site, where Giardia associates with growth restriction, infected children demonstrate broad amino acid deficiencies, and overproduction of specific phenolic acids, byproducts of intestinal bacterial amino acid metabolism. Gnotobiotic mice require specific nutritional and environmental conditions to recapitulate these findings, and immunodeficient mice confirm a pathway independent of chronic T/B cell inflammation. Taken together, we propose a new paradigm that Giardia-mediated growth faltering is contingent upon a convergence of this intestinal protozoa with nutritional and intestinal bacterial factors.
Collapse
Affiliation(s)
- Natasa Giallourou
- Division of Digestive Diseases, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
- Centre of Excellence in Biobanking and Biomedical Research, Molecular Medicine Research Center, University of Cyprus, Nicosia, Cyprus.
| | - Jason Arnold
- Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Molecular Genetics and Microbiology, Duke Microbiome Center, Duke University School of Medicine, Durham, NC, 27710, USA
| | | | - Muyiwa Awoniyi
- Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rose Viguna Thomas Becket
- Departments of Pediatrics and Pathology and Laboratory Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kenneth Walsh
- Institute for Infectious Diseases and Global Health and the Division of Infectious Diseases, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jeremy Herzog
- Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ajay S Gulati
- Departments of Pediatrics and Pathology and Laboratory Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ian M Carroll
- Department of Nutrition, Gillings School of Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephanie Montgomery
- Department of Pathology and Laboratory Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Steven M Singer
- Department of Biology, Georgetown University, Washington, DC, USA
| | - Anthony A Fodor
- The University of North Carolina Charlotte, Department of Bioinformatics and Genomics, Charlotte, USA
| | - Tahmeed Ahmad
- International Center for Diarrheal Disease Research, Dhaka, Bangladesh
| | - Mustafa Mahfuz
- International Center for Diarrheal Disease Research, Dhaka, Bangladesh
| | - Esto Mduma
- Haydom Global Health Research Centre, Haydom Lutheran Hospital, Haydom, Tanzania
| | - Thomas Walongo
- Haydom Global Health Research Centre, Haydom Lutheran Hospital, Haydom, Tanzania
| | - Richard L Guerrant
- Division of Infectious Diseases and International Health, Department of Medicine, The University of Virginia Charlottesville, Charlottesville, VA, USA
| | - R Balfour Sartor
- Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jonathan R Swann
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Margaret N Kosek
- Division of Infectious Diseases and International Health, Department of Medicine, The University of Virginia Charlottesville, Charlottesville, VA, USA
| | - Luther A Bartelt
- Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Institute for Infectious Diseases and Global Health and the Division of Infectious Diseases, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Microbiology & Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| |
Collapse
|
12
|
Bleich RM, Li C, Sun S, Barlogio CJ, Broberg CA, Franks AR, Bulik-Sullivan E, Dogan B, Simpson KW, Carroll IM, Fodor AA, Arthur JC. A consortia of clinical E. coli strains with distinct in-vitro adherent/invasive properties establish their own co-colonization niche and shape the intestinal microbiota in inflammation-susceptible mice. Res Sq 2023:rs.3.rs-2899665. [PMID: 37214858 PMCID: PMC10197778 DOI: 10.21203/rs.3.rs-2899665/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Background Inflammatory bowel disease (IBD) patients experience recurrent episodes of intestinal inflammation and often follow an unpredictable disease course. Mucosal colonization with adherent-invasive Escherichia coli (AIEC) are believed to perpetuate intestinal inflammation. However, it remains unclear if the 24-year-old AIEC in-vitro definition fully predicts mucosal colonization in-vivo. To fill this gap, we have developed a novel molecular barcoding approach to distinguish strain variants in the gut and have integrated this approach to explore mucosal colonization of distinct patient-derived E. coli isolates in gnotobiotic mouse models of colitis. Results Germ-free inflammation-susceptible interleukin-10-deficient (Il10-/-) and inflammation-resistant WT mice were colonized with a consortia of AIEC and non-AIEC strains, then given a murine fecal transplant to provide niche competition. E. coli strains isolated from human intestinal tissue were each marked with a unique molecular barcode that permits identification and quantification by barcode-targeted sequencing. 16S rRNA sequencing was used to evaluate the microbiome response to E. coli colonization. Our data reveal that specific AIEC and non-AIEC strains reproducibly colonize the intestinal mucosa of WT and Il10-/- mice. These E. coli expand in Il10-/- mice during inflammation and induce compositional dysbiosis to the microbiome in an inflammation-dependent manner. In turn, specific microbes co-evolve in inflamed mice, potentially diversifying E. coli colonization patterns. We observed no selectivity in E. coli colonization patterns in the fecal contents, indicating minimal selective pressure in this niche from host-microbe and interbacterial interactions. Because select AIEC and non-AIEC strains colonize the mucosa, this suggests the in vitro AIEC definition may not fully predict in vivo colonization potential. Further comparison of seven E. coli genomes pinpointed unique genomic features contained only in highly colonizing strains (two AIEC and two non-AIEC). Those colonization-associated features may convey metabolic advantages (e.g., iron acquisition and carbohydrate consumption) to promote efficient mucosal colonization. Conclusions Our findings establish the in-vivo mucosal colonizer, not necessarily AIEC, as a principal dysbiosis driver through crosstalk with host and associated microbes. Furthermore, we highlight the utility of high-throughput screens to decode the in-vivo colonization dynamics of patient-derived bacteria in murine models.
Collapse
Affiliation(s)
| | - Chuang Li
- University of North Carolina at Chapel Hill
| | - Shan Sun
- University of North Carolina at Charlotte
| | | | | | | | | | - Belgin Dogan
- Cornell University College of Veterinary Medicine
| | | | | | | | | |
Collapse
|
13
|
Carter KA, Fodor AA, Balkus JE, Zhang A, Serrano MG, Buck GA, Engel SM, Wu MC, Sun S. Vaginal Microbiome Metagenome Inference Accuracy: Differential Measurement Error according to Community Composition. mSystems 2023; 8:e0100322. [PMID: 36975801 PMCID: PMC10134888 DOI: 10.1128/msystems.01003-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/21/2023] [Indexed: 03/29/2023] Open
Abstract
Several studies have compared metagenome inference performance in different human body sites; however, none specifically reported on the vaginal microbiome. Findings from other body sites cannot easily be generalized to the vaginal microbiome due to unique features of vaginal microbial ecology, and investigators seeking to use metagenome inference in vaginal microbiome research are "flying blind" with respect to potential bias these methods may introduce into analyses. We compared the performance of PICRUSt2 and Tax4Fun2 using paired 16S rRNA gene amplicon sequencing and whole-metagenome sequencing data from vaginal samples from 72 pregnant individuals enrolled in the Pregnancy, Infection, and Nutrition (PIN) cohort. Participants were selected from those with known birth outcomes and adequate 16S rRNA gene amplicon sequencing data in a case-control design. Cases experienced early preterm birth (<32 weeks of gestation), and controls experienced term birth (37 to 41 weeks of gestation). PICRUSt2 and Tax4Fun2 performed modestly overall (median Spearman correlation coefficients between observed and predicted KEGG ortholog [KO] relative abundances of 0.20 and 0.22, respectively). Both methods performed best among Lactobacillus crispatus-dominated vaginal microbiotas (median Spearman correlation coefficients of 0.24 and 0.25, respectively) and worst among Lactobacillus iners-dominated microbiotas (median Spearman correlation coefficients of 0.06 and 0.11, respectively). The same pattern was observed when evaluating correlations between univariable hypothesis test P values generated with observed and predicted metagenome data. Differential metagenome inference performance across vaginal microbiota community types can be considered differential measurement error, which often causes differential misclassification. As such, metagenome inference will introduce hard-to-predict bias (toward or away from the null) in vaginal microbiome research. IMPORTANCE Compared to taxonomic composition, the functional potential within a bacterial community is more relevant to establishing mechanistic understandings and causal relationships between the microbiome and health outcomes. Metagenome inference attempts to bridge the gap between 16S rRNA gene amplicon sequencing and whole-metagenome sequencing by predicting a microbiome's gene content based on its taxonomic composition and annotated genome sequences of its members. Metagenome inference methods have been evaluated primarily among gut samples, where they appear to perform fairly well. Here, we show that metagenome inference performance is markedly worse for the vaginal microbiome and that performance varies across common vaginal microbiome community types. Because these community types are associated with sexual and reproductive outcomes, differential metagenome inference performance will bias vaginal microbiome studies, obscuring relationships of interest. Results from such studies should be interpreted with substantial caution and the understanding that they may over- or underestimate associations with metagenome content.
Collapse
Affiliation(s)
- Kayla A. Carter
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Jennifer E. Balkus
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Angela Zhang
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Myrna G. Serrano
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Gregory A. Buck
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Computer Science, College of Engineering, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Stephanie M. Engel
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Michael C. Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| |
Collapse
|
14
|
Tsan L, Chometton S, Hayes AM, Klug ME, Zuo Y, Sun S, Bridi L, Lan R, Fodor AA, Noble EE, Yang X, Kanoski SE, Schier LA. Early-life low-calorie sweetener consumption disrupts glucose regulation, sugar-motivated behavior, and memory function in rats. JCI Insight 2022; 7:167266. [PMID: 36546482 PMCID: PMC9906965 DOI: 10.1172/jci.insight.167266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
|
15
|
Tsan L, Sun S, Hayes AMR, Bridi L, Chirala LS, Noble EE, Fodor AA, Kanoski SE. Early life Western diet-induced memory impairments and gut microbiome changes in female rats are long-lasting despite healthy dietary intervention. Nutr Neurosci 2022; 25:2490-2506. [PMID: 34565305 PMCID: PMC8957635 DOI: 10.1080/1028415x.2021.1980697] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Western diet consumption during adolescence results in hippocampus (HPC)-dependent memory impairments and gut microbiome dysbiosis. Whether these adverse outcomes persist in adulthood following healthy dietary intervention is unknown. Here we assessed the short- and long-term effects of adolescent consumption of a Western diet enriched with either sugar or both sugar and fat on metabolic outcomes, HPC function, and gut microbiota. METHODS Adolescent female rats (PN 26) were fed a standard chow diet (CHOW), chow with access to 11% sugar solution (SUG), or a junk food cafeteria-style diet (CAF) containing various foods high in fat and/or sugar. During adulthood (PN 65+), metabolic outcomes, HPC-dependent memory, and gut microbial populations were evaluated. In a subsequent experiment, these outcomes were evaluated following a 5-week dietary intervention where CAF and SUG groups were maintained on standard chow alone. RESULTS Both CAF and SUG groups demonstrated impaired HPC-dependent memory, increased adiposity, and altered gut microbial populations relative to the CHOW group. However, impaired peripheral glucose regulation was only observed in the SUG group. When examined following a healthy dietary intervention in a separate experiment, metabolic dysfunction was not observed in either the CAF or SUG group, whereas HPC-dependent memory impairments were observed in the CAF but not the SUG group. In both groups the composition of the gut microbiota remained distinct from CHOW rats after the dietary intervention. CONCLUSIONS While the metabolic impairments associated with adolescent junk food diet consumption are not present in adulthood following dietary intervention, the HPC-dependent memory impairments and the gut microbiome dysbiosis persist.
Collapse
Affiliation(s)
- Linda Tsan
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics at the University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Anna M. R. Hayes
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA, USA
| | - Lana Bridi
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA, USA
| | - Lekha S. Chirala
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA, USA
| | - Emily E. Noble
- Department of Foods and Nutrition, University of Georgia, Athens, GA, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics at the University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Scott E. Kanoski
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
16
|
Fan L, Zhu X, Sun S, Yu C, Huang X, Ness R, Dugan LL, Shu L, Seidner DL, Murff HJ, Fodor AA, Azcarate-Peril MA, Shrubsole MJ, Dai Q. Ca:Mg ratio, medium-chain fatty acids, and the gut microbiome. Clin Nutr 2022; 41:2490-2499. [PMID: 36223712 PMCID: PMC9588659 DOI: 10.1016/j.clnu.2022.08.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 08/04/2022] [Accepted: 08/31/2022] [Indexed: 12/26/2022]
Abstract
BACKGROUND & AIMS Ketogenic medium-chain fatty acids (MCFAs) with profound health benefits are commonly found in dairy products, palm kernel oil and coconut oil. We hypothesize that magnesium (Mg) supplementation leads to enhanced gut microbial production of MCFAs and, in turn, increased circulating MCFAs levels. METHODS We tested this hypothesis in the Personalized Prevention of Colorectal Cancer Trial (PPCCT) (NCT01105169), a double-blind 2 × 2 factorial randomized controlled trial enrolling 240 participants. Six 24-h dietary recalls were performed for all participants at the baseline and during the intervention period. Based on the baseline 24-h dietary recalls, the Mg treatment used a personalized dose of Mg supplementation that would reduce the calcium (Ca): Mg intake ratio to around 2.3. We measured plasma MCFAs, sugars, ketone bodies and tricarboxylic acid cycle (TCA cycle) metabolites using the Metabolon's global Precision Metabolomics™ LC-MS platform. Whole-genome shotgun metagenomics (WGS) sequencing was performed to assess microbiota in stool samples, rectal swabs, and rectal biopsies. RESULTS Personalized Mg treatment (mean dose 205.58 mg/day with a range from 77.25 to 389.55 mg/day) significantly increased the plasma levels of C7:0, C8:0, and combined C7:0 and C8:0 by 18.45%, 25.28%, and 24.20%, respectively, compared to 14.15%, 10.12%, and 12.62% decreases in the placebo arm. The effects remain significant after adjusting for age, sex, race and baseline level (P = 0.0126, P = 0.0162, and P = 0.0031, respectively) and FDR correction at 0.05 (q = 0.0324 for both C7:0 and C8:0). Mg treatment significantly reduced the plasma level of sucrose compared to the placebo arm (P = 0.0036 for multivariable-adjusted and P = 0.0216 for additional FDR correction model) whereas alterations in daily intakes of sucrose, fructose, glucose, maltose and C8:0 from baseline to the end of trial did not differ between two arms. Mediation analysis showed that combined C7:0 and C8:0 partially mediated the effects of Mg treatment on total and individual ketone bodies (P for indirect effect = 0.0045, 0.0043, and 0.03, respectively). The changes in plasma levels of C7:0 and C8:0 were significantly and positively correlated with the alterations in stool microbiome α diversity (r = 0.51, p = 0.0023 and r = 0.34, p = 0.0497, respectively) as well as in stool abundance for the signatures of MCFAs-related microbiota with acyl-ACP thioesterase gene producing C7:0 (r = 0.46, p = 0.0067) and C8:0 (r = 0.49, p = 0.003), respectively, following Mg treatment. CONCLUSIONS Optimizing Ca:Mg intake ratios to around 2.3 through 12-week personalized Mg supplementation leads to increased circulating levels of MCFAs (i.e. C7:0 and C8:0), which is attributed to enhanced production from gut microbial fermentation and, maybe, sucrose consumption.
Collapse
Affiliation(s)
- Lei Fan
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiangzhu Zhu
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Chang Yu
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Xiang Huang
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid Ness
- Department of Medicine, Division of Gastroenterology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Laura L Dugan
- Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA; Division of Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lihua Shu
- Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Douglas L Seidner
- Center for Human Nutrition, Department of Gastroenterology, Hepatology and Nutrition, Digestive Disease and Surgical Institute, Cleveland Clinic, OH, USA
| | - Harvey J Murff
- Veterans Health Administration-Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - M Andrea Azcarate-Peril
- Department of Medicine, Division of Gastroenterology and Hepatology, and UNC Microbiome Core, Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Martha J Shrubsole
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qi Dai
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
| |
Collapse
|
17
|
Tsan L, Chometton S, Hayes AM, Klug ME, Zuo Y, Sun S, Bridi L, Lan R, Fodor AA, Noble EE, Yang X, Kanoski SE, Schier LA. Early-life low-calorie sweetener consumption disrupts glucose regulation, sugar-motivated behavior, and memory function in rats. JCI Insight 2022; 7:e157714. [PMID: 36099052 PMCID: PMC9714783 DOI: 10.1172/jci.insight.157714] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 09/12/2022] [Indexed: 01/12/2023] Open
Abstract
Low-calorie sweetener (LCS) consumption in children has increased dramatically due to its widespread presence in the food environment and efforts to mitigate obesity through sugar replacement. However, mechanistic studies on the long-term impact of early-life LCS consumption on cognitive function and physiological processes are lacking. Here, we developed a rodent model to evaluate the effects of daily LCS consumption (acesulfame potassium, saccharin, or stevia) during adolescence on adult metabolic, behavioral, gut microbiome, and brain transcriptomic outcomes. Results reveal that habitual early-life LCS consumption impacts normal postoral glucose handling and impairs hippocampal-dependent memory in the absence of weight gain. Furthermore, adolescent LCS consumption yielded long-term reductions in lingual sweet taste receptor expression and brought about alterations in sugar-motivated appetitive and consummatory responses. While early-life LCS consumption did not produce robust changes in the gut microbiome, brain region-specific RNA-Seq analyses reveal LCS-induced changes in collagen- and synaptic signaling-related gene pathways in the hippocampus and nucleus accumbens, respectively, in a sex-dependent manner. Collectively, these results reveal that habitual early-life LCS consumption has long-lasting implications for glucoregulation, sugar-motivated behavior, and hippocampal-dependent memory in rats, which may be based in part on changes in nutrient transporter, sweet taste receptor, and central gene pathway expression.
Collapse
Affiliation(s)
- Linda Tsan
- Neuroscience Graduate Program and
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, California, USA
| | - Sandrine Chometton
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, California, USA
| | - Anna M.R. Hayes
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, California, USA
| | - Molly E. Klug
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, California, USA
| | - Yanning Zuo
- Department of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, California, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics at the University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Lana Bridi
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, California, USA
| | - Rae Lan
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, California, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics at the University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Emily E. Noble
- Department of Nutritional Sciences, University of Georgia, Athens, Georgia, USA
| | - Xia Yang
- Department of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, California, USA
| | - Scott E. Kanoski
- Neuroscience Graduate Program and
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, California, USA
| | - Lindsey A. Schier
- Neuroscience Graduate Program and
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, California, USA
| |
Collapse
|
18
|
Sun S, Blakley IC, Fodor AA, Keku TO, Woosley JT, Peery AF, Sandler RS. Microbial Associations With Microscopic Colitis. Clin Transl Gastroenterol 2022; 13:e00528. [PMID: 36094869 PMCID: PMC9624492 DOI: 10.14309/ctg.0000000000000528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 08/16/2022] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Microscopic colitis is a relatively common cause of chronic diarrhea and may be linked to luminal factors. Given the essential role of the microbiome in human gut health, analysis of microbiome changes associated with microscopic colitis could provide insights into the development of the disease. METHODS We enrolled patients who underwent colonoscopy for diarrhea. An experienced pathologist classified patients as having microscopic colitis (n = 52) or controls (n = 153). Research biopsies were taken from the ascending (ASC) and descending (DES) colon, and the microbiome was characterized with Illumina sequencing. We analyzed the associations between microscopic colitis and microbiome with a series of increasingly complex models adjusted for a range of demographic and health factors. RESULTS We found that alpha diversity was significantly lower in cases with microscopic colitis compared with that in controls in the DES colon microbiome. In the DES colon, a series of models that adjusted for an increasing number of covariates found taxa significantly associated with microscopic colitis, including Proteobacteria that was enriched in cases and Collinsella that was enriched in controls. While the alpha diversity and taxa were not significantly associated with microscopic colitis in the ASC colon microbiome, the inference P values based on ASC and DES microbiomes were highly correlated. DISCUSSION Our study demonstrates an altered microbiome in cases with microscopic colitis compared with that in controls. Because both the cases and controls experienced diarrhea, we have identified candidate taxa that could be mechanistically responsible for the development of microscopic colitis independent of changes to the microbial community caused by diarrhea.
Collapse
Affiliation(s)
- Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Ivory C. Blakley
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Temitope O. Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - John T. Woosley
- Department of Pathology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Anne F. Peery
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Robert S. Sandler
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| |
Collapse
|
19
|
Ling W, Lu J, Zhao N, Lulla A, Plantinga AM, Fu W, Zhang A, Liu H, Song H, Li Z, Chen J, Randolph TW, Koay WLA, White JR, Launer LJ, Fodor AA, Meyer KA, Wu MC. Batch effects removal for microbiome data via conditional quantile regression. Nat Commun 2022; 13:5418. [PMID: 36109499 PMCID: PMC9477887 DOI: 10.1038/s41467-022-33071-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 08/29/2022] [Indexed: 11/10/2022] Open
Abstract
Batch effects in microbiome data arise from differential processing of specimens and can lead to spurious findings and obscure true signals. Strategies designed for genomic data to mitigate batch effects usually fail to address the zero-inflated and over-dispersed microbiome data. Most strategies tailored for microbiome data are restricted to association testing or specialized study designs, failing to allow other analytic goals or general designs. Here, we develop the Conditional Quantile Regression (ConQuR) approach to remove microbiome batch effects using a two-part quantile regression model. ConQuR is a comprehensive method that accommodates the complex distributions of microbial read counts by non-parametric modeling, and it generates batch-removed zero-inflated read counts that can be used in and benefit usual subsequent analyses. We apply ConQuR to simulated and real microbiome datasets and demonstrate its advantages in removing batch effects while preserving the signals of interest.
Collapse
Affiliation(s)
- Wodan Ling
- Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA
| | - Jiuyao Lu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, 21205, Baltimore, USA
| | - Ni Zhao
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, 21205, Baltimore, USA.
| | - Anju Lulla
- Nutrition Research Institute and Department of Nutrition, University of North Carolina, 500 Laureate Way, 28081, Kannapolis, USA
| | - Anna M Plantinga
- Department of Mathematics and Statistics, Williams College, 18 Hoxsey St, 01267, Williamstown, USA
| | - Weijia Fu
- Department of Biostatistics, School of Public Health, University of Washington, 1705 NE Pacific St, 98195, Seattle, USA
| | - Angela Zhang
- Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA
- Department of Biostatistics, School of Public Health, University of Washington, 1705 NE Pacific St, 98195, Seattle, USA
| | - Hongjiao Liu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA
- Department of Biostatistics, School of Public Health, University of Washington, 1705 NE Pacific St, 98195, Seattle, USA
| | - Hoseung Song
- Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA
| | - Zhigang Li
- Department of Biostatistics, College of Public Health & Health Professions, College of Medicine, University of Florida, 2004 Mowry Rd, 32611, Gainesville, USA
| | - Jun Chen
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, 200 First St SW, 55905, Rochester, USA
| | - Timothy W Randolph
- Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA
| | - Wei Li A Koay
- Children's National Hospital, 111 Michigan Ave NW, 20010, Washington DC, USA
- Department of Pediatrics, George Washington University, Ross Hall 2300 Eye St NW, 20037, Washington DC, USA
| | - James R White
- Resphera Biosciences, 1529 Lancaster St, 21231, Baltimore, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, NIA, NIH, 7201 Wisconsin Ave, 20814, Bethesda, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, 28223, Charlotte, USA
| | - Katie A Meyer
- Nutrition Research Institute and Department of Nutrition, University of North Carolina, 500 Laureate Way, 28081, Kannapolis, USA
| | - Michael C Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA.
- Department of Biostatistics, School of Public Health, University of Washington, 1705 NE Pacific St, 98195, Seattle, USA.
| |
Collapse
|
20
|
Severyn CJ, Siranosian BA, Kong STJ, Moreno A, Li MM, Chen N, Duncan CN, Margossian SP, Lehmann LE, Sun S, Andermann TM, Birbrayer O, Silverstein S, Kim S, Banaei N, Ritz J, Fodor AA, London WB, Bhatt AS, Whangbo JS. Microbiota dynamics in a randomized trial of gut decontamination during allogeneic hematopoietic cell transplantation. JCI Insight 2022; 7:154344. [PMID: 35239511 PMCID: PMC9057614 DOI: 10.1172/jci.insight.154344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/02/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Gut decontamination (GD) can decrease the incidence and severity of acute graft-versus-host disease (aGVHD) in murine models of allogeneic hematopoietic cell transplantation (HCT). In this pilot study, we examined the impact of GD on gut microbiome composition and the incidence of aGVHD in HCT patients. METHODS We randomized 20 patients undergoing allogeneic HCT to receive (GD) or not receive (no-GD) oral vancomycin-polymyxin B from day –5 through neutrophil engraftment. We evaluated shotgun metagenomic sequencing of serial stool samples to compare the composition and diversity of the gut microbiome between study arms. We assessed clinical outcomes in the 2 arms and performed strain-specific analyses of pathogens that caused bloodstream infections (BSI). RESULTS The 2 arms did not differ in the predefined primary outcome of Shannon diversity of the gut microbiome at 2 weeks post-HCT (genus, P = 0.8; species, P = 0.44) or aGVHD incidence (P = 0.58). Immune reconstitution of T cell and B cell subsets was similar between groups. Five patients in the no-GD arm had 8 BSI episodes versus 1 episode in the GD arm (P = 0.09). The BSI-causing pathogens were traceable to the gut in 7 of 8 BSI episodes in the no-GD arm, including Staphylococcus species. CONCLUSION While GD did not differentially affect Shannon diversity or clinical outcomes, our findings suggest that GD may protect against gut-derived BSI in HCT patients by decreasing the prevalence or abundance of gut pathogens. TRIAL REGISTRATION ClinicalTrials.gov NCT02641236. FUNDING NIH, Damon Runyon Cancer Research Foundation, V Foundation, Sloan Foundation, Emerson Collective, and Stanford Maternal & Child Health Research Institute.
Collapse
Affiliation(s)
- Christopher J Severyn
- Department of Pediatrics, Stanford University School of Medicine, Stanford, United States of America
| | - Benjamin A Siranosian
- Department of Genetics and Medicine, Stanford University School of Medicine, Stanford, United States of America
| | - Sandra Tian-Jiao Kong
- Department of Biology and Biomedical Informatics, Stanford University School of Medicine, Stanford, United States of America
| | - Angel Moreno
- Department of Pathology, Stanford University School of Medicine, Palo Alto, United States of America
| | - Michelle M Li
- Department of Biomedical Informatics, Harvard Medical School, Boston, United States of America
| | - Nan Chen
- Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Boston, United States of America
| | - Christine N Duncan
- Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Boston, United States of America
| | - Steven P Margossian
- Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Boston, United States of America
| | - Leslie E Lehmann
- Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Boston, United States of America
| | - Shan Sun
- Department of Bioinformatics and Genomics, UNC Charlotte, Charlotte, United States of America
| | - Tessa M Andermann
- Department of Medicine, UNC Chapel Hill, Chapel Hill, United States of America
| | - Olga Birbrayer
- Dana-Farber Cancer Institute, Dana-Farber Cancer Institute, Boston, United States of America
| | - Sophie Silverstein
- Dana-Farber Cancer Institute, Dana-Farber Cancer Institute, Boston, United States of America
| | - Soomin Kim
- Dana-Farber Cancer Institute, Dana-Farber Cancer Institute, Boston, United States of America
| | - Niaz Banaei
- Department of Medicine, Stanford University School of Medicine, Palo Alto, United States of America
| | - Jerome Ritz
- Dana-Farber Cancer Institute, Dana-Farber Cancer Institute, Boston, United States of America
| | | | - Wendy B London
- Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Dana-Farber/Boston Children's Cancer & Blood Disorders Center, Boston, United States of America
| | - Ami S Bhatt
- Department of Genetics and Medicine, Stanford University School of Medicine, Stanford, United States of America
| | - Jennifer S Whangbo
- Dana-Farber Cancer Institute, Dana-Farber Cancer Institute, Boston, United States of America
| |
Collapse
|
21
|
Rosen EM, Martin CL, Siega-Riz AM, Dole N, Basta PV, Serrano M, Fettweis J, Wu M, Sun S, Thorp JM, Buck G, Fodor AA, Engel SM. Is prenatal diet associated with the composition of the vaginal microbiome? Paediatr Perinat Epidemiol 2022; 36:243-253. [PMID: 34841560 PMCID: PMC8881389 DOI: 10.1111/ppe.12830] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND The vaginal microbiome has been associated with adverse pregnancy outcomes, but information on the impact of diet on microbiome composition is largely unexamined. OBJECTIVE To estimate the association between prenatal diet and vaginal microbiota composition overall and by race. METHODS We leveraged a racially diverse prenatal cohort of North Carolina women enrolled between 1995 and 2001 to conduct this analysis using cross-sectional data. Women completed food frequency questionnaires about diet in the previous 3 months and foods were categorised into subgroups: fruits, vegetables, nuts/seeds, whole grains, low-fat dairy, sweetened beverages and red meat. We additionally assessed dietary vitamin D, fibre and yogurt consumption. Stored vaginal swabs collected in mid-pregnancy were sequenced using 16S taxonomic profiling. Women were categorised into three groups based on predominance of species: Lactobacillus iners, Lactobacillus miscellaneous and Bacterial Vaginosis (BV)-associated bacteria. Adjusted Poisson models with robust variance estimators were run to assess the risk of being in a specific vagitype compared to the referent. Race-stratified models (Black/White) were also run. RESULTS In this study of 634 women, higher consumption of dairy was associated with increased likelihood of membership in the L. crispatus group compared to the L. iners group in a dose-dependent manner (risk ratio quartile 4 vs. 1: 2.01, 95% confidence interval 1.36, 2.95). Increased intake of fruit, vitamin D, fibre and yogurt was also associated with increased likelihood of membership in L. crispatus compared to L. iners, but only among black women. Statistical heterogeneity was only detected for fibre intake. There were no detected associations between any other food groups or risk of membership in the BV group. CONCLUSIONS Higher consumption of low-fat dairy was associated with increased likelihood of membership in a beneficial vagitype, potentially driven by probiotics.
Collapse
Affiliation(s)
- Emma M. Rosen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| | - Chantel L. Martin
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| | - Anna Maria Siega-Riz
- Departments of Nutrition and Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst MA 01003
| | - Nancy Dole
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516
| | - Patricia V. Basta
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| | - Myrna Serrano
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA 23284
| | - Jennifer Fettweis
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA 23284
| | - Michael Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
| | - Shan Sun
- Department of Bioinformatics, University of North Carolina at Charlotte, Charlotte, NC
| | - John M. Thorp
- Department of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| | - Gregory Buck
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA 23284
| | - Anthony A. Fodor
- Department of Bioinformatics, University of North Carolina at Charlotte, Charlotte, NC
| | - Stephanie M. Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
| |
Collapse
|
22
|
Loeser RF, Arbeeva L, Kelley K, Fodor AA, Sun S, Ulici V, Longobardi L, Cui Y, Stewart DA, Sumner SJ, Azcarate-Peril MA, Sartor RB, Carroll IM, Renner JB, Jordan JM, Nelson AE. Association of Increased Serum Lipopolysaccharide, But Not Microbial Dysbiosis, With Obesity-Related Osteoarthritis. Arthritis Rheumatol 2022; 74:227-236. [PMID: 34423918 PMCID: PMC8795472 DOI: 10.1002/art.41955] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 07/19/2021] [Accepted: 08/19/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To test the hypothesis that an altered gut microbiota (dysbiosis) plays a role in obesity-associated osteoarthritis (OA). METHODS Stool and blood samples were collected from 92 participants with a body mass index (BMI) ≥30 kg/m2 , recruited from the Johnston County Osteoarthritis Project. OA patients (n = 50) had hand and knee OA (Kellgren/Lawrence [K/L] grade ≥2 or arthroplasty). Controls (n = 42) had no hand OA and a K/L grade of 0-1 for the knees. Compositional analysis of stool samples was carried out by 16S ribosomal RNA amplicon sequencing. Alpha- and beta-diversity and differences in taxa relative abundances were determined. Blood samples were used for multiplex cytokine analysis and measures of lipopolysaccharide (LPS) and LPS binding protein. Germ-free mice were gavaged with patient- or control-pooled fecal samples and fed a 40% fat, high-sucrose diet for 40 weeks. Knee OA was evaluated histologically. RESULTS On average, OA patients were slightly older than the controls, consisted of more women, and had a higher mean BMI, higher mean Western Ontario and McMaster Universities Osteoarthritis Index pain score, and higher mean K/L grade. There were no significant differences in α- or β-diversity or genus level composition between patients and controls. Patients had higher plasma levels of osteopontin (P = 0.01) and serum LPS (P < 0.0001) compared to controls. Mice transplanted with patient or control microbiota exhibited a significant difference in α-diversity (P = 0.02) and β-diversity, but no differences in OA severity were observed. CONCLUSION The lack of differences in the gut microbiota, but increased serum LPS levels, suggest the possibility that increased intestinal permeability allowing for greater absorption of LPS, rather than a dysbiotic microbiota, may contribute to the development of OA associated with obesity.
Collapse
Affiliation(s)
- Richard F. Loeser
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina,Corresponding author: Richard F. Loeser, Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, 3300 Thurston Building, Campus Box 7280, University of North Carolina School of Medicine, Chapel Hill, North Carolina, 27599, USA, Phone: 919-966-7042;
| | - Liubov Arbeeva
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Kathryn Kelley
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Anthony A. Fodor
- Dept. of Bioinformatics and Genomics, University of North Carolina-Charlotte, North Carolina
| | - Shan Sun
- Dept. of Bioinformatics and Genomics, University of North Carolina-Charlotte, North Carolina
| | - Veronica Ulici
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Lara Longobardi
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Yang Cui
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | | | - Susan J. Sumner
- Department of Nutrition, University of North Carolina, Chapel Hill, NC
| | - M. Andrea Azcarate-Peril
- Division of Gastroenterology and Hepatology and UNC Microbiome Core, Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - R. Balfour Sartor
- Division of Gastroenterology and Hepatology and Center for Gastrointestinal Biology and Disease, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Ian M. Carroll
- Department of Nutrition, University of North Carolina, Chapel Hill, NC
| | - Jordan B. Renner
- Department of Radiology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Joanne M. Jordan
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Amanda E. Nelson
- Division of Rheumatology, Allergy and Immunology and the Thurston Arthritis Research Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| |
Collapse
|
23
|
Glenny EM, Fouladi F, Thomas SA, Bulik-Sullivan EC, Tang Q, Djukic Z, Trillo-Ordonez YS, Fodor AA, Tarantino LM, M. Bulik C, Carroll IM. Gut microbial communities from patients with anorexia nervosa do not influence body weight in recipient germ-free mice. Gut Microbes 2022; 13:1-15. [PMID: 33769200 PMCID: PMC8007138 DOI: 10.1080/19490976.2021.1897216] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Anorexia nervosa (AN) is a psychiatric disorder that presents with profound weight dysregulation, metabolic disturbances, and an abnormal composition of gut microbial communities. As the intestinal microbiota can influence host metabolism, the impact of enteric microbial communities from patients with AN on host weight and adiposity was investigated. Germ-free (GF) mice were colonized with fecal microbiotas from either patients with AN (n = 4) prior to inpatient treatment (AN T1, n = 50 recipient mice), the same 4 patients following clinical renourishment (AN T2, n = 53 recipient mice), or age- and sex-matched non-AN controls (n = 4 human donors; non-AN, n = 50 recipient mice). Biological and fecal microbiota data were analyzed with linear mixed-effects models. Body weight did not differ significantly between AN recipient mice (T1 and T2) and non-AN recipient mice following 4 weeks of colonization. Enteric microbiotas from recipient mice colonized with AN T1 and AN T2 fecal microbiotas were more similar to each other compared with enteric microbiotas from non-AN recipient mice. Specific bacterial families in the Actinobacteria, Bacteroidetes, and Firmicutes phyla were significantly associated with body weight, fat mass, and cecum weight irrespective of the donor group. These data suggest that body weight, fat mass, and cecum weight of colonized GF mice are associated with human fecal microbes and independent of donor AN status, although additional analyses with larger cohorts are warranted.
Collapse
Affiliation(s)
- Elaine M. Glenny
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,CONTACT Ian M. Carroll Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Farnaz Fouladi
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Stephanie A. Thomas
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Emily C. Bulik-Sullivan
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Quyen Tang
- Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA; Graduate School of Professional Psychology, Morrison Family College of Health, University of St. Thomas, Minneapolis, MN, USA
| | - Zorka Djukic
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yesel S. Trillo-Ordonez
- Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Lisa M. Tarantino
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Cynthia M. Bulik
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | |
Collapse
|
24
|
Fouladi F, Carroll IM, Sharpton TJ, Bulik-Sullivan E, Heinberg L, Steffen KJ, Fodor AA. A microbial signature following bariatric surgery is robustly consistent across multiple cohorts. Gut Microbes 2022; 13:1930872. [PMID: 34159880 PMCID: PMC8224199 DOI: 10.1080/19490976.2021.1930872] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Bariatric surgery induces significant shifts in the gut microbiota which could potentially contribute to weight loss and metabolic benefits. The aim of this study was to characterize a microbial signature following Roux-en-Y Gastric bypass (RYGB) surgery using novel and existing gut microbiota sequence data. We generated 16S rRNA gene and metagenomic sequences from fecal samples from patients undergoing RYGB surgery (n = 61 for 16S rRNA gene and n = 135 for metagenomics) at pre-surgical baseline and one, six, and twelve-month post-surgery. We compared these data with three smaller publicly available 16S rRNA gene and one metagenomic datasets from patients who also underwent RYGB surgery. Linear mixed models and machine learning approaches were used to examine the presence of a common microbial signature across studies. Comparison of our new sequences with previous longitudinal studies revealed strikingly similar profiles in both fecal microbiota composition (r = 0.41 ± 0.10; p < .05) and metabolic pathways (r = 0.70 ± 0.05; p < .001) early after surgery across multiple datasets. Notably, Veillonella, Streptococcus, Gemella, Fusobacterium, Escherichia/Shigella, and Akkermansia increased after surgery, while Blautia decreased. Machine learning approaches revealed that the replicable gut microbiota signature associated with RYGB surgery could be used to discriminate pre- and post-surgical samples. Opportunistic pathogen abundance also increased post-surgery in a consistent manner across cohorts. Our study reveals a robust microbial signature involving many commensal and pathogenic taxa and metabolic pathways early after RYGB surgery across different studies and sites. Characterization of the effects of this robust microbial signature on outcomes of bariatric surgery could provide insights into the development of microbiome-based interventions for predicting or improving outcomes following surgery.
Collapse
Affiliation(s)
- Farnaz Fouladi
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA,CONTACT Farnaz Fouladi Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC28223, USA
| | - Ian M. Carroll
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA,Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Thomas J. Sharpton
- Department of Microbiology, Department of Statistics, Center for Genome Research and Biocomputing, Oregon State University, Corvallis, USA
| | - Emily Bulik-Sullivan
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Leslie Heinberg
- Department of Psychiatry and Psychology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, USA
| | - Kristine J. Steffen
- School of Pharmacy, College of Health Professions, North Dakota State University, Fargo, USA,Director of Biomedical Research, Center for Biobehavioral Research/Sanford Research, Fargo, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA
| |
Collapse
|
25
|
Simpson JB, Sekela JJ, Graboski AL, Borlandelli VB, Bivins MM, Barker NK, Sorgen AA, Mordant AL, Johnson RL, Bhatt AP, Fodor AA, Herring LE, Overkleeft H, Lee JR, Redinbo MR. Metagenomics combined with activity-based proteomics point to gut bacterial enzymes that reactivate mycophenolate. Gut Microbes 2022; 14:2107289. [PMID: 35953888 PMCID: PMC9377255 DOI: 10.1080/19490976.2022.2107289] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/19/2022] [Indexed: 02/04/2023] Open
Abstract
Mycophenolate mofetil (MMF) is an important immunosuppressant prodrug prescribed to prevent organ transplant rejection and to treat autoimmune diseases. MMF usage, however, is limited by severe gastrointestinal toxicity that is observed in approximately 45% of MMF recipients. The active form of the drug, mycophenolic acid (MPA), undergoes extensive enterohepatic recirculation by bacterial β-glucuronidase (GUS) enzymes, which reactivate MPA from mycophenolate glucuronide (MPAG) within the gastrointestinal tract. GUS enzymes demonstrate distinct substrate preferences based on their structural features, and gut microbial GUS enzymes that reactivate MPA have not been identified. Here, we compare the fecal microbiomes of transplant recipients receiving MMF to healthy individuals using shotgun metagenomic sequencing. We find that neither microbial composition nor the presence of specific structural classes of GUS genes are sufficient to explain the differences in MPA reactivation measured between fecal samples from the two cohorts. We next employed a GUS-specific activity-based chemical probe and targeted metaproteomics to identify and quantify the GUS proteins present in the human fecal samples. The identification of specific GUS enzymes was improved by using the metagenomics data collected from the fecal samples. We found that the presence of GUS enzymes that bind the flavin mononucleotide (FMN) is significantly correlated with efficient MPA reactivation. Furthermore, structural analysis identified motifs unique to these FMN-binding GUS enzymes that provide molecular support for their ability to process this drug glucuronide. These results indicate that FMN-binding GUS enzymes may be responsible for reactivation of MPA and could be a driving force behind MPA-induced GI toxicity.
Collapse
Affiliation(s)
- Joshua B. Simpson
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Josh J. Sekela
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Amanda L. Graboski
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Valentina B. Borlandelli
- Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
| | - Marissa M. Bivins
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Natalie K. Barker
- UNC Proteomics Core Facility, Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alicia A. Sorgen
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Angie L. Mordant
- UNC Proteomics Core Facility, Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca L. Johnson
- Center for Integrative Chemical Biology and Drug Discovery, Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Aadra P. Bhatt
- Division of Gastroenterology and Hepatology, Department of Medicine, Center for Gastrointestinal Biology and Disease, and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Laura E. Herring
- UNC Proteomics Core Facility, Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hermen Overkleeft
- Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
| | - John R. Lee
- Department of Medicine, Division of Nephrology and Hypertension, New York, New York, USA
| | - Matthew. R. Redinbo
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biochemistry and Biophysics, Department of Microbiology and Immunology, and the Institute for Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| |
Collapse
|
26
|
Fouladi F, Bulik-Sullivan EC, Glenny EM, Thornton LM, Reed KK, Thomas S, Kleiman S, Watters A, Oakes J, Huh EY, Tang Q, Liu J, Djukic Z, Harper L, Trillo-Ordoñez Y, Sun S, Blakely I, Mehler PS, Fodor AA, Tarantino LM, Bulik CM, Carroll IM. Reproducible changes in the anorexia nervosa gut microbiota following inpatient therapy remain distinct from non-eating disorder controls. Gut Microbes 2022; 14:2143217. [PMID: 36398862 PMCID: PMC9678007 DOI: 10.1080/19490976.2022.2143217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
The composition of the gut microbiota in patients with anorexia nervosa (AN), and the ability of this microbial community to influence the host, remains uncertain. To achieve a broader understanding of the role of the intestinal microbiota in patients with AN, we collected fecal samples before and following clinical treatment at two geographically distinct eating disorder units (Center of Excellence for Eating Disorders [UNC-CH] and ACUTE Center for Eating Disorders [Denver Health]). Gut microbiotas were characterized in patients with AN, before and after inpatient treatment, and in non-eating disorder (non-ED) controls using shotgun metagenomic sequencing. The impact of inpatient treatment on the AN gut microbiota was remarkably consistent between eating disorder units. Although weight in patients with AN showed improvements, AN microbiotas post-treatment remained distinct from non-ED controls. Additionally, AN gut microbiotas prior to treatment exhibited more fermentation pathways and a lower ability to degrade carbohydrates than non-ED controls. As the intestinal microbiota can influence nutrient metabolism, our data highlight the complex microbial communities in patients with AN as an element needing further attention post inpatient treatment. Additionally, this study defines the effects of renourishment on the AN gut microbiota and serves as a platform to develop precision nutrition approaches to potentially mitigate impediments to recovery.
Collapse
Affiliation(s)
- Farnaz Fouladi
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC28223, USA
| | - Emily C. Bulik-Sullivan
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Elaine M. Glenny
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Laura M. Thornton
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Kylie K. Reed
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Stephanie Thomas
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Susan Kleiman
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Ashlie Watters
- ACUTE Center for Eating Disorders and Severe Malnutrition at Denver Health, University of Colorado School of Medicine, Denver, CO80204, USA
| | - Judy Oakes
- ACUTE Center for Eating Disorders and Severe Malnutrition at Denver Health, Department of Medicine, Medical Intensive Care Unit, Denver Health Hospital Authority, Denver, CO80204, USA
| | - Eun-Young Huh
- Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Quyen Tang
- Graduate School of Professional Psychology, Morrison Family College of Health, University of St. Thomas, Minneapolis, MN, USA
| | - Jintong Liu
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Zorka Djukic
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Lauren Harper
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Yesel Trillo-Ordoñez
- Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC28223, USA
| | - Ivory Blakely
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC28223, USA
| | - Philip S. Mehler
- ACUTE Center for Eating Disorders and Severe Malnutrition at Denver Health, University of Colorado School of Medicine, Denver, CO80204, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC28223, USA
| | - Lisa M. Tarantino
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA,Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| | - Cynthia M. Bulik
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA,Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ian M. Carroll
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA,Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA,CONTACT Ian M. Carroll Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA
| |
Collapse
|
27
|
Andermann TM, Fouladi F, Tamburini FB, Sahaf B, Tkachenko E, Greene C, Buckley MT, Brooks EF, Hedlin H, Arai S, Mackall CL, Miklos D, Negrin RS, Fodor AA, Rezvani AR, Bhatt AS. A Fructo-Oligosaccharide Prebiotic Is Well Tolerated in Adults Undergoing Allogeneic Hematopoietic Stem Cell Transplantation: A Phase I Dose-Escalation Trial. Transplant Cell Ther 2021; 27:932.e1-932.e11. [PMID: 34274493 PMCID: PMC8556222 DOI: 10.1016/j.jtct.2021.07.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/30/2021] [Accepted: 07/08/2021] [Indexed: 01/01/2023]
Abstract
Alterations of the gut microbiota after allogeneic hematopoietic cell transplantation (allo-HCT) are a key factor in the development of transplant-related complications such as graft-versus-host disease (GVHD). Interventions that preserve the gut microbiome hold promise to improve HCT-associated morbidity and mortality. Murine models demonstrate that prebiotics such as fructo-oligosaccharides (FOSs) may increase gut levels of short-chain fatty acids (SCFAs) such as butyrate and consequently induce proliferation of immunomodulatory FOXP3+CD4+ regulatory T cells (Tregs), which impact GVHD risk. We conducted a pilot phase I trial to investigate the maximum tolerated dose of FOS in patients undergoing reduced-intensity allo-HCT (n = 15) compared with concurrent controls (n = 16). We administered the FOS starting at pretransplant conditioning and continuing for a total of 21 days. We characterized the gut microbiome using shotgun metagenomic sequencing, measured stool short-chain fatty acids (SCFAs) using liquid chromatography-mass spectrometry, and determined peripheral T cell concentrations using cytometry by time-of-flight. We found that FOS was safe and well-tolerated at 10 g/d without significant adverse effects in patients undergoing allo-HCT. Community-level gut microbiota composition differed significantly on the day of transplant (day 0) between patients receiving FOS and concurrent controls; however, FOS-associated alterations of the gut microbiota were not sustained after transplant. Although the impact of FOS was fleeting, transplantation itself impacted a substantial number of taxa over time. In our small pilot trial, no significant differences were observed in gut microbial metabolic pathways, stool SCFAs, or peripheral Tregs, although Tregs trended higher in those patients who received FOS. A marker of CD4+ T cell activation (namely, CTLA4+) was significantly higher in patients receiving FOS, whereas a non-significant trend existed for FOP3+CD4+ Treg cells, which were higher in those receiving FOS compared with controls. FOS is well tolerated at 10 g/d in patients undergoing reduced-intensity allo-HCT. Although the alterations in gut microbiota and peripheral immune cell composition in those receiving FOS are intriguing, additional studies are required to investigate the use of prebiotics in HCT recipients.
Collapse
Affiliation(s)
- Tessa M Andermann
- Division of Infectious Diseases, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Farnaz Fouladi
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina
| | - Fiona B Tamburini
- Department of Genetics, Department of Medicine, Stanford University, Stanford, California
| | - Bita Sahaf
- Division of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, California
| | - Ekaterina Tkachenko
- Stanford University School of Medicine, Stanford University, Stanford, California
| | - Courtney Greene
- Division of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, California
| | - Matthew T Buckley
- Department of Genetics, Department of Medicine, Stanford University, Stanford, California
| | - Erin F Brooks
- Division of Hematology, Department of Medicine, Stanford University, Stanford, California
| | - Haley Hedlin
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, California
| | - Sally Arai
- Division of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, California
| | - Crystal L Mackall
- Division of Hematology/Oncology, Department of Pediatrics, Stanford University, Stanford, California
| | - David Miklos
- Division of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, California
| | - Robert S Negrin
- Division of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, California
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina.
| | - Andrew R Rezvani
- Division of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, California.
| | - Ami S Bhatt
- Department of Genetics, Department of Medicine, Stanford University, Stanford, California; Division of Blood and Marrow Transplantation and Cellular Therapy, Department of Medicine, Stanford University, Stanford, California.
| |
Collapse
|
28
|
Ling W, Zhao N, Plantinga AM, Launer LJ, Fodor AA, Meyer KA, Wu MC. Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ). Microbiome 2021; 9:181. [PMID: 34474689 PMCID: PMC8414689 DOI: 10.1186/s40168-021-01129-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/01/2021] [Indexed: 05/09/2023]
Abstract
BACKGROUND Identification of bacterial taxa associated with diseases, exposures, and other variables of interest offers a more comprehensive understanding of the role of microbes in many conditions. However, despite considerable research in statistical methods for association testing with microbiome data, approaches that are generally applicable remain elusive. Classical tests often do not accommodate the realities of microbiome data, leading to power loss. Approaches tailored for microbiome data depend highly upon the normalization strategies used to handle differential read depth and other data characteristics, and they often have unacceptably high false positive rates, generally due to unsatisfied distributional assumptions. On the other hand, many non-parametric tests suffer from loss of power and may also present difficulties in adjusting for potential covariates. Most extant approaches also fail in the presence of heterogeneous effects. The field needs new non-parametric approaches that are tailored to microbiome data, robust to distributional assumptions, and powerful under heterogeneous effects, while permitting adjustment for covariates. METHODS As an alternative to existing approaches, we propose a zero-inflated quantile approach (ZINQ), which uses a two-part quantile regression model to accommodate the zero inflation in microbiome data. For a given taxon, ZINQ consists of a valid test in logistic regression to model the zero counts, followed by a series of quantile rank-score based tests on multiple quantiles of the non-zero part with adjustment for the zero inflation. As a regression and quantile-based approach, the method is non-parametric and robust to irregular distributions, while providing an allowance for covariate adjustment. Since no distributional assumptions are made, ZINQ can be applied to data that has been processed under any normalization strategy. RESULTS Thorough simulations based on real data across a range of scenarios and application to real data sets show that ZINQ often has equivalent or higher power compared to existing tests even as it offers better control of false positives. CONCLUSIONS We present ZINQ, a quantile-based association test between microbiota and dichotomous or quantitative clinical variables, providing a powerful and robust alternative for the current microbiome differential abundance analysis. Video Abstract.
Collapse
Affiliation(s)
- Wodan Ling
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, 98109 USA
| | - Ni Zhao
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, 21205 USA
| | - Anna M. Plantinga
- Department of Mathematics and Statistics, Williams College, 18 Hoxsey St., Williamstown, 01267 USA
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Science, NIA, NIH, 7201 Wisconsin Ave, Bethesda, 20814 USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, 28223 USA
| | - Katie A. Meyer
- Nutrition Research Institute and Department of Nutrition, University of North Carolina, 500 Laureate Way, Kannapolis, 28081 USA
| | - Michael C. Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, 98109 USA
| |
Collapse
|
29
|
Sun S, Zhu X, Huang X, Murff HJ, Ness RM, Seidner DL, Sorgen AA, Blakley IC, Yu C, Dai Q, Azcarate-Peril MA, Shrubsole MJ, Fodor AA. On the robustness of inference of association with the gut microbiota in stool, rectal swab and mucosal tissue samples. Sci Rep 2021; 11:14828. [PMID: 34290321 PMCID: PMC8295290 DOI: 10.1038/s41598-021-94205-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 06/25/2021] [Indexed: 12/11/2022] Open
Abstract
The gut microbiota plays an important role in human health and disease. Stool, rectal swab and rectal mucosal tissue samples have been used in individual studies to survey the microbial community but the consequences of using these different sample types are not completely understood. In this study, we report differences in stool, rectal swab and rectal mucosal tissue microbial communities with shotgun metagenome sequencing of 1397 stool, swab and mucosal tissue samples from 240 participants. The taxonomic composition of stool and swab samples was distinct, but less different to each other than mucosal tissue samples. Functional profile differences between stool and swab samples are smaller, but mucosal tissue samples remained distinct from the other two types. When the taxonomic and functional profiles were used for inference in association with host phenotypes of age, sex, body mass index (BMI), antibiotics or non-steroidal anti-inflammatory drugs (NSAIDs) use, hypothesis testing using either stool or rectal swab gave broadly significantly correlated results, but inference performed on mucosal tissue samples gave results that were generally less consistent with either stool or swab. Our study represents an important resource for determination of how inference can change for taxa and pathways depending on the choice of where to sample within the human gut.
Collapse
Affiliation(s)
- Shan Sun
- grid.266859.60000 0000 8598 2218Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC USA
| | - Xiangzhu Zhu
- grid.412807.80000 0004 1936 9916Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | - Xiang Huang
- grid.412807.80000 0004 1936 9916Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | - Harvey J. Murff
- grid.412807.80000 0004 1936 9916Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | - Reid M. Ness
- grid.412807.80000 0004 1936 9916Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | - Douglas L. Seidner
- grid.239578.20000 0001 0675 4725Digestive Disease and Surgical Institute, Cleveland Clinic, Cleveland, OH USA
| | - Alicia A. Sorgen
- grid.266859.60000 0000 8598 2218Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC USA
| | - Ivory C. Blakley
- grid.266859.60000 0000 8598 2218Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC USA
| | - Chang Yu
- grid.412807.80000 0004 1936 9916Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN USA
| | - Qi Dai
- grid.412807.80000 0004 1936 9916Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | - M. Andrea Azcarate-Peril
- grid.410711.20000 0001 1034 1720Department of Medicine and Microbiome Core Facility, School of Medicine, University of North Carolina, Chapel Hill, NC USA
| | - Martha J. Shrubsole
- grid.412807.80000 0004 1936 9916Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | - Anthony A. Fodor
- grid.266859.60000 0000 8598 2218Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd, Room 361, Charlotte, NC 28223 USA
| |
Collapse
|
30
|
Wang P, Zhang S, Yerke A, Ohland CL, Gharaibeh RZ, Fouladi F, Fodor AA, Jobin C, Sang S. Avenanthramide Metabotype from Whole-Grain Oat Intake is Influenced by Faecalibacterium prausnitzii in Healthy Adults. J Nutr 2021; 151:1426-1435. [PMID: 33694368 DOI: 10.1093/jn/nxab006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/09/2020] [Accepted: 01/07/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Oat has been widely accepted as a key food for human health. It is becoming increasingly evident that individual differences in metabolism determine how different individuals benefit from diet. Both host genetics and the gut microbiota play important roles on the metabolism and function of dietary compounds. OBJECTIVES To investigate the mechanism of individual variations in response to whole-grain (WG) oat intake. METHODS We used the combination of in vitro incubation assays with human gut microbiota, mouse and human S9 fractions, chemical analyses, germ-free (GF) mice, 16S rRNA sequencing, gnotobiotic techniques, and a human feeding study. RESULTS Avenanthramides (AVAs), the signature bioactive polyphenols of WG oat, were not metabolized into their dihydro forms, dihydro-AVAs (DH-AVAs), by both human and mouse S9 fractions. DH-AVAs were detected in the colon and the distal regions but not in the proximal and middle regions of the perfused mouse intestine, and were in specific pathogen-free (SPF) mice but not in GF mice. A kinetic study of humans fed oat bran showed that DH-AVAs reached their maximal concentrations at much later time points than their corresponding AVAs (10.0-15.0 hours vs. 4.0-4.5 hours, respectively). We observed interindividual variations in the metabolism of AVAs to DH-AVAs in humans. Faecalibacterium prausnitzii was identified as the individual bacterium to metabolize AVAs to DH-AVAs by 16S rRNA sequencing analysis. Moreover, as opposed to GF mice, F. prausnitzii-monocolonized mice were able to metabolize AVAs to DH-AVAs. CONCLUSIONS These findings demonstrate that the presence of intestinal F. prausnitzii is indispensable for proper metabolism of AVAs in both humans and mice. We propose that the abundance of F. prausnitzii can be used to subcategorize individuals into AVA metabolizers and nonmetabolizers after WG oat intake. This study was registered at clinicaltrials.gov as NCT04335435.
Collapse
Affiliation(s)
- Pei Wang
- Laboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, North Carolina Research Campus, Kannapolis, NC, USA
| | - Shuwei Zhang
- Laboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, North Carolina Research Campus, Kannapolis, NC, USA
| | - Aaron Yerke
- Laboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, North Carolina Research Campus, Kannapolis, NC, USA.,Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | | | - Raad Z Gharaibeh
- Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Farnaz Fouladi
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Christian Jobin
- Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Shengmin Sang
- Laboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, North Carolina Research Campus, Kannapolis, NC, USA
| |
Collapse
|
31
|
Johnson J, Dellon ES, McCoy AN, Sun S, Jensen ET, Fodor AA, Keku TO. Lack of association of the esophageal microbiome in adults with eosinophilic esophagitis compared with non-EoE controls. J Gastrointestin Liver Dis 2021; 30:17-24. [PMID: 33723541 DOI: 10.15403/jgld-3049] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/22/2021] [Indexed: 11/01/2022]
Abstract
BACKGROUND AND AIMS Changes in the esophageal microbiome have been reported in children with eosinophilic esophagitis (EoE), but few data exist for adults. We aimed to determine whether the esophageal microbiome differs in adults with and without EoE. METHODS In a prospective cohort study, adults undergoing outpatient endoscopy were enrolled as incident EoE cases or non-EoE controls. Clinical, endoscopic, and histologic data were collected. An esophageal biopsy was utilized for microbiome analysis. Bacterial DNA was extracted and the V3-V4 region of the 16S rRNA gene was amplified and sequenced. Analyses were performed comparing microbiome features for cases and controls, and within cases for disease features, with correction for multiple hypothesis testing. RESULTS A total of 24 incident EoE cases (mean age 40 years; 63% male; 100% white; 97 eos/hpf) and 25 controls (mean age 48, 36% male; 76% white; 1 eos/hpf) were analyzed. Principal coordinate analysis ordination failed to distinguish cases from controls. There were no microbiome differences within EoE cases based on clinical phenotype, presence of atopy, or endoscopic features. Use of proton pump inhibitors (PPIs), however, was significantly associated with 5 taxa including SR1 at the phylum level and Burkholderia at the genus level. CONCLUSIONS There were no significant differences in the esophageal microbiome between newly diagnosed EoE cases and non-EoE controls in adults, or within EoE cases based on clinical features. However, given the strong rationale for the esophageal microbiome in EoE pathogenesis, future studies should explicitly consider the presence of PPIs as a confounding feature.
Collapse
Affiliation(s)
- James Johnson
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA. .
| | - Evan S Dellon
- Center for Esophageal Diseases and Swallowing, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina, Chapel Hill, NC; Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina, Chapel Hill, NC. .
| | - Amber N McCoy
- Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA.
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.
| | - Elizabeth T Jensen
- Center for Esophageal Diseases and Swallowing, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina, Chapel Hill, NC; Wake Forest University Public Health Sciences, Department of Epidemiology and Prevention, Winston- Salem, NC, USA.
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA.
| |
Collapse
|
32
|
Wang Y, Wang H, Howard AG, Tsilimigras MCB, Avery CL, Meyer KA, Sha W, Sun S, Zhang J, Su C, Wang Z, Fodor AA, Zhang B, Gordon-Larsen P. Gut Microbiota and Host Plasma Metabolites in Association with Blood Pressure in Chinese Adults. Hypertension 2020; 77:706-717. [PMID: 33342240 DOI: 10.1161/hypertensionaha.120.16154] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Animal studies have revealed gut microbial and metabolic pathways of blood pressure (BP) regulation, yet few epidemiological studies have collected microbiota and metabolomics data in the same individuals. In a population-based, Chinese cohort who did not report antihypertension medication use (30-69 years, 54% women), thus minimizing BP treatment effects, we examined multivariable-adjusted (eg, diet, physical activity, smoking, kidney function), cross-sectional associations between measures of gut microbiota (16S rRNA [ribosomal ribonucleic acid], N=1003), and plasma metabolome (liquid chromatography-mass spectrometry, N=434) with systolic (SBP, mean [SD]=126.0 [17.4] mm Hg) and diastolic BP (DBP [80.7 (10.7) mm Hg]). We found that the overall microbial community assessed by principal coordinate analysis varied by SBP and DBP (permutational multivariate ANOVA P<0.05). To account for strong correlations across metabolites, we first examined metabolite patterns derived from principal component analysis and found that a lipid pattern was positively associated with SBP (linear regression coefficient [95% CI] per 1 SD pattern score: 2.23 [0.72-3.74] mm Hg) and DBP (1.72 [0.81-2.63] mm Hg). Among 1104 individual metabolites, 34 and 39 metabolites were positively associated with SBP and DBP (false discovery rate-adjusted linear model P<0.05), respectively, including linoleate, palmitate, dihomolinolenate, 8 sphingomyelins, 4 acyl-carnitines, and 2 phosphatidylinositols. Subsequent pathway analysis showed that metabolic pathways of long-chain saturated acylcarnitine, phosphatidylinositol, and sphingomyelins were associated with SBP and DBP (false discovery rate-adjusted Fisher exact test P<0.05). Our results suggest potential roles of microbiota and metabolites in BP regulation to be followed up in prospective and clinical studies.
Collapse
Affiliation(s)
- Yiqing Wang
- From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Annie Green Howard
- Department of Biostatistics (A.G.H.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Gillings School of Global Public Health & School of Medicine, Carolina Population Center (A.G.H., M.C.B.T., C.L.A, P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Matthew C B Tsilimigras
- From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Department of Epidemiology (M.C.B.T., C.L.A.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Gillings School of Global Public Health & School of Medicine, Carolina Population Center (A.G.H., M.C.B.T., C.L.A, P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Christy L Avery
- Department of Epidemiology (M.C.B.T., C.L.A.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Gillings School of Global Public Health & School of Medicine, Carolina Population Center (A.G.H., M.C.B.T., C.L.A, P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Katie A Meyer
- From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Nutrition Research Institute (K.A.M.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| | - Wei Sha
- Department of Cancer Biostatistics, Levine Cancer Institute, Atrium Health, Charlotte, NC (W.S.).,Department of Bioinformatics and Genomics, University of North Carolina at Charlotte (W.S., S.S., A.A.F.)
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte (W.S., S.S., A.A.F.)
| | - Jiguo Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte (W.S., S.S., A.A.F.)
| | - Bing Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.)
| | - Penny Gordon-Larsen
- From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).,Gillings School of Global Public Health & School of Medicine, Carolina Population Center (A.G.H., M.C.B.T., C.L.A, P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill)
| |
Collapse
|
33
|
Wang Y, Wang H, Howard AG, Tsilimigras MCB, Avery CL, Meyer KA, Sha W, Sun S, Zhang J, Su C, Wang Z, Zhang B, Fodor AA, Gordon-Larsen P. Associations of sodium and potassium consumption with the gut microbiota and host metabolites in a population-based study in Chinese adults. Am J Clin Nutr 2020; 112:1599-1612. [PMID: 33022700 PMCID: PMC7727480 DOI: 10.1093/ajcn/nqaa263] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 08/24/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND There is increasing evidence that sodium consumption alters the gut microbiota and host metabolome in murine models and small studies in humans. However, there is a lack of population-based studies that capture large variations in sodium consumption as well as potassium consumption. OBJECTIVE We examined the associations of energy-adjusted dietary sodium (milligrams/kilocalorie), potassium, and sodium-to-potassium (Na/K) ratio with the microbiota and plasma metabolome in a well-characterized Chinese cohort with habitual excessive sodium and deficient potassium consumption. METHODS We estimated dietary intakes from 3 consecutive validated 24-h recalls and household inventories. In 2833 adults (18-80 y old, 51.2% females), we analyzed microbial (genus-level 16S ribosomal RNA) between-person diversity, using distance-based redundancy analysis (dbRDA), and within-person diversity and taxa abundance using linear regression, accounting for geographic variation in both. In a subsample (n = 392), we analyzed the overall metabolome (dbRDA) and individual metabolites (linear regression). P values for specific taxa and metabolites were false discovery rate adjusted (q-value). RESULTS Sodium, potassium, and Na/K ratio were associated with microbial between-person diversity (dbRDA P < 0.01) and several specific taxa with large geographic variation, including pathogenic Staphylococcus and Moraxellaceae, and SCFA-producing Phascolarctobacterium and Lachnospiraceae (q-value < 0.05). For example, sodium and Na/K ratio were positively associated with Staphylococcus and Moraxellaceae in Liaoning, whereas potassium was positively associated with 2 genera from Lachnospiraceae in Shanghai. Additionally, sodium, potassium, and Na/K ratio were associated with the overall metabolome (dbRDA P ≤ 0.01) and several individual metabolites, including butyrate/isobutyrate and gut-derived phenolics such as 1,2,3-benzenetriol sulfate, which was negatively associated with sodium in Guizhou (q-value < 0.05). CONCLUSIONS Our findings suggest that sodium and potassium consumption is associated with taxa and metabolites that have been implicated in cardiometabolic health, providing insights into the potential roles of gut microbiota and host metabolites in the pathogenesis of sodium- and potassium-associated diseases. More studies are needed to confirm our results.
Collapse
Affiliation(s)
- Yiqing Wang
- Department of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, NC, USA
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, NC, USA,Carolina Population Center, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Matthew C B Tsilimigras
- Department of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, NC, USA,Carolina Population Center, UNC-Chapel Hill, Chapel Hill, NC, USA,Department of Epidemiology, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Christy L Avery
- Carolina Population Center, UNC-Chapel Hill, Chapel Hill, NC, USA,Department of Epidemiology, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Katie A Meyer
- Department of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, NC, USA,Nutrition Research Institute, UNC-Chapel Hill, Kannapolis, NC, USA
| | - Wei Sha
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA,Department of Cancer Biostatistics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Jiguo Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bing Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | | |
Collapse
|
34
|
Wang Y, Sha W, Wang H, Howard AG, Tsilimigras MCB, Zhang J, Su C, Wang Z, Zhang B, Fodor AA, Gordon-Larsen P. Urbanization in China is associated with pronounced perturbation of plasma metabolites. Metabolomics 2020; 16:103. [PMID: 32951074 PMCID: PMC7707273 DOI: 10.1007/s11306-020-01724-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 09/12/2020] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Urbanization is associated with major changes in environmental and lifestyle exposures that may influence metabolic signatures. OBJECTIVES We investigated cross-sectional urban and rural differences in plasma metabolome analyzed by liquid chromatography/mass spectrometry platform in 500 Chinese adults aged 25-68 years from two neighboring southern Chinese provinces. METHODS We first examined the overall metabolome differences by urban and rural residential location, using Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) and random forest classification. We then tested the association between urbanization status and individual metabolites using a linear regression adjusting for age, sex, and province and conducted pathway analysis (Fisher's exact test) to identify metabolic pathways differed by urbanization status. RESULTS We observed distinct overall metabolome by urbanization status in OPLS-DA and random forest classification. Using linear regression, out of a total of 1108 unique metabolite features identified in this sample, we found that 266 metabolites were differed by urbanization status (positive false discovery rate-adjusted p-value, q-value < 0.05). For example, the following metabolites were positively associated with urbanization status: caffeine metabolites from xanthine metabolism, hazardous pollutants like 4-hydroxychlorothalonil and perfluorooctanesulfonate, and metabolites implicated in cardiometabolic diseases, such as branched-chain amino acids. In pathway analysis, we found that xanthine metabolism pathways differed by urbanization status (q-value = 1.64E-04). CONCLUSION We detected profound differences in host metabolites by urbanization status. Urban residents were characterized by metabolites signaling caffeine metabolism and toxic pollutants and metabolites on known pathways to cardiometabolic disease risks, compared to their rural counterparts. Our findings highlight the importance of considering urbanization in metabolomics analysis.
Collapse
Affiliation(s)
- Yiqing Wang
- Department of Nutrition, Gillings School of Global Public Health & School of Medicine, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, NC, USA
| | - Wei Sha
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
- Department of Cancer Biostatistics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
| | - Huijun Wang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
| | - Annie Green Howard
- Carolina Population Center, UNC-Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Matthew C B Tsilimigras
- Department of Nutrition, Gillings School of Global Public Health & School of Medicine, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, NC, USA
- Carolina Population Center, UNC-Chapel Hill, Chapel Hill, NC, USA
- Department of Epidemiology, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Jiguo Zhang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
| | - Chang Su
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
| | - Zhihong Wang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
| | - Bing Zhang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health & School of Medicine, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, NC, USA.
- Carolina Population Center, UNC-Chapel Hill, Chapel Hill, NC, USA.
| |
Collapse
|
35
|
Robles-Malagamba MJ, Walsh MT, Ahasan MS, Thompson P, Wells RS, Jobin C, Fodor AA, Winglee K, Waltzek TB. Characterization of the bacterial microbiome among free-ranging bottlenose dolphins ( Tursiops truncatus). Heliyon 2020; 6:e03944. [PMID: 32577542 PMCID: PMC7305398 DOI: 10.1016/j.heliyon.2020.e03944] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 02/07/2020] [Accepted: 05/05/2020] [Indexed: 12/11/2022] Open
Abstract
Marine animals represent a dynamic and complex habitat for diverse microbial communities. The microbiota associated with bottlenose dolphins (Tursiops truncatus) are believed to influence their health status, but it remains poorly understood. We therefore characterized and compared the bacterial microbiome of bottlenose dolphins from six different anatomical sites that represent four different body systems (respiratory, digestive, reproductive, and integumentary). In this study, a total of 14 free-ranging bottlenose dolphins were sampled during the 2015 Sarasota Bay Dolphin Health Assessment. Bacterial diversity and abundance were assessed by PCR amplification of the hypervariable V3-V4 regions of the bacterial 16S rRNA gene for each sample, followed by sequencing on an Illumina MiSeq platform. Analysis showed that bottlenose dolphins harbor diverse bacterial communities with a unique microbial community at each body system. Additionally, the bottlenose dolphin bacterial microbiome was clearly distinct to the aquatic microbiome from their surrounding habitat. These results are in close agreement with other cetacean microbiome studies, while our study is the first to explore what was found to be a diverse bottlenose dolphin genital microbiome. The core bacterial communities identified in this study in apparently healthy animals might be informative for future health monitoring of bottlenose dolphins.
Collapse
Affiliation(s)
- María José Robles-Malagamba
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
| | - Michael T. Walsh
- Department of Comparative, Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
| | - Mohammad Shamim Ahasan
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
- Department of Medicine, Surgery and Obstetrics, Faculty of Veterinary and Animal Sciences, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh
| | - Patrick Thompson
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
| | - Randall S. Wells
- Chicago Zoological Society's Sarasota Dolphin Research Program, Mote Marine Laboratory, Sarasota, Florida, USA
| | - Christian Jobin
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
- Division of Gastroenterology, Hepatology, and Nutrition, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, North Carolina, USA
| | - Kathryn Winglee
- Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, North Carolina, USA
| | - Thomas B. Waltzek
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
| |
Collapse
|
36
|
Dess NK, Chapman CD, Fouladi F, Fodor AA, Lyte M. "Us vs. Them" Pair Housing: Effects on Body Weight, Open Field Behavior, and Gut Microbiota in Rats Selectively Bred on a Taste Phenotype. Physiol Behav 2020; 223:112975. [PMID: 32492497 DOI: 10.1016/j.physbeh.2020.112975] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 04/25/2020] [Accepted: 05/19/2020] [Indexed: 01/04/2023]
Abstract
Taste is increasingly recognized as being related to reward, risk, and social processes beyond the ingestive domain. Occidental High (HiS) and Low (LoS) Saccharin Consuming rats have been selectively bred for more than 25 years to study those relationships. The present study examined LoS and HiS rats' sensitivity to a social partner's lineage. The role of gut microbiome transfer between lines was also explored as a possible mediating mechanism. Rats were pair-housed with a rat from either their own line (same-line condition) or the other line (other-line condition); weight gain, saccharin intake, acoustic startle, and open field behavior were measured. Results show for the first time that the lines express different behavioral strategies in a novel open field. In addition, weight gain and open field measures indicate that other-line housing was stressful. Saccharin intake, however, was unaffected by housing condition. A previous finding that the lines possess different gut microbiota was replicated. Although microbial transfer occurred between social partners, no clear evidence was obtained that housing-condition effects on weight gain or behavior were mediated by microbial transfer. Overall, these findings add to the characterization of non-gustatory correlates of a taste phenotype and suggest that rats differing strikingly on the taste phenotype and/or its correlates may be socially incompatible.
Collapse
|
37
|
Fouladi F, Bailey MJ, Patterson WB, Sioda M, Blakley IC, Fodor AA, Jones RB, Chen Z, Kim JS, Lurmann F, Martino C, Knight R, Gilliland FD, Alderete TL. Air pollution exposure is associated with the gut microbiome as revealed by shotgun metagenomic sequencing. Environ Int 2020; 138:105604. [PMID: 32135388 PMCID: PMC7181344 DOI: 10.1016/j.envint.2020.105604] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 05/17/2023]
Abstract
Animal work indicates exposure to air pollutants may alter the composition of the gut microbiota. This study examined relationships between air pollutants and the gut microbiome in young adults residing in Southern California. Our results demonstrate significant associations between exposure to air pollutants and the composition of the gut microbiome using whole-genome sequencing. Higher exposure to 24-hour O3 was associated with lower Shannon diversity index, higher Bacteroides caecimuris, and multiple gene pathways, including L-ornithine de novo biosynthesis as well as pantothenate and coenzyme A biosynthesis I. Among other pollutants, higher NO2 exposure was associated with fewer taxa, including higher Firmicutes. The percent variation in gut bacterial composition that was explained by air pollution exposure was up to 11.2% for O3 concentrations, which is large compared to the effect size for many other covariates reported in healthy populations. This study provides the first evidence of significant associations between exposure to air pollutants and the compositional and functional profile of the human gut microbiome. These results identify O3 as an important pollutant that may alter the human gut microbiome.
Collapse
Affiliation(s)
- Farnaz Fouladi
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | | | | | - Michael Sioda
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Ivory C Blakley
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Anthony A Fodor
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | | | - Zhanghua Chen
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Cameron Martino
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA; Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA; Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | | |
Collapse
|
38
|
Sun S, Jones RB, Fodor AA. Inference-based accuracy of metagenome prediction tools varies across sample types and functional categories. Microbiome 2020; 8:46. [PMID: 32241293 PMCID: PMC7118876 DOI: 10.1186/s40168-020-00815-y] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 03/02/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND Despite recent decreases in the cost of sequencing, shotgun metagenome sequencing remains more expensive compared with 16S rRNA amplicon sequencing. Methods have been developed to predict the functional profiles of microbial communities based on their taxonomic composition. In this study, we evaluated the performance of three commonly used metagenome prediction tools (PICRUSt, PICRUSt2, and Tax4Fun) by comparing the significance of the differential abundance of predicted functional gene profiles to those from shotgun metagenome sequencing across different environments. RESULTS We selected 7 datasets of human, non-human animal, and environmental (soil) samples that have publicly available 16S rRNA and shotgun metagenome sequences. As we would expect based on previous literature, strong Spearman correlations were observed between predicted gene compositions and gene relative abundance measured with shotgun metagenome sequencing. However, these strong correlations were preserved even when the abundance of genes were permuted across samples. This suggests that simple correlation coefficient is a highly unreliable measure for the performance of metagenome prediction tools. As an alternative, we compared the performance of genes predicted with PICRUSt, PICRUSt2, and Tax4Fun to sequenced metagenome genes in inference models associated with metadata within each dataset. With this approach, we found reasonable performance for human datasets, with the metagenome prediction tools performing better for inference on genes related to "housekeeping" functions. However, their performance degraded sharply outside of human datasets when used for inference. CONCLUSION We conclude that the utility of PICRUSt, PICRUSt2, and Tax4Fun for inference with the default database is likely limited outside of human samples and that development of tools for gene prediction specific to different non-human and environmental samples is warranted. Video abstract.
Collapse
Affiliation(s)
- Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC USA
| | - Roshonda B. Jones
- The Saban Research Institute, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC USA
| |
Collapse
|
39
|
Fouladi F, Brooks AE, Fodor AA, Carroll IM, Bulik-Sullivan EC, Tsilimigras MCB, Sioda M, Steffen KJ. The Role of the Gut Microbiota in Sustained Weight Loss Following Roux-en-Y Gastric Bypass Surgery. Obes Surg 2020; 29:1259-1267. [PMID: 30604078 DOI: 10.1007/s11695-018-03653-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The aim of the study was to investigate the role of the gut microbiota in weight regain or suboptimal weight loss following Roux-en-Y gastric bypass (RYGB). MATERIALS AND METHODS The gut microbiota composition in post-RYGB patients who experienced successful weight loss (SWL, n = 6), post-RYGB patients who experienced poor weight loss (PWL, n = 6), and non-surgical controls (NSC, n = 6) who were age- and BMI-matched to the SWL group (NSC, n = 6) were characterized through 16S rRNA gene sequencing. To further investigate the impact of the gut microbiota on weight profile, human fecal samples were transplanted into antibiotic-treated mice. RESULTS Orders of Micrococcales and Lactobacillales were enriched in SWL and PWL groups compared to the NSC group. No significant difference was observed in the gut microbiota composition between PWL and SWL patients. However, transfer of the gut microbiota from human patients into antibiotic-treated mice resulted in significantly greater weight gain in PWL recipient mice compared to SWL recipient mice. A few genera that were effectively transferred from humans to mice were associated with weight gain in mice. Among them, Barnesiella was significantly higher in PWL recipient mice compared to SWL and NSC recipient mice. CONCLUSION These results indicate that the gut microbiota are at least functionally, if not compositionally, different between PWL and SWL patients. Some taxa may contribute to weight gain after surgery. Future studies will need to determine the molecular mechanisms behind the effects of the gut bacteria on weight regain after RYGB.
Collapse
Affiliation(s)
- Farnaz Fouladi
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Road, Charlotte, NC, 28223, USA.
| | - Amanda E Brooks
- Department of Pharmaceutical Sciences, North Dakota State University, 1401 Albrecht Blvd, Fargo, ND, 58102, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Road, Charlotte, NC, 28223, USA
| | - Ian M Carroll
- Department of Nutrition, School of Medicine, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA
- Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina at Chapel Hill, 130 Mason Farm Rd., Chapel Hill, NC, 27599, USA
| | - Emily C Bulik-Sullivan
- Department of Nutrition, School of Medicine, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA
| | - Matthew C B Tsilimigras
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Road, Charlotte, NC, 28223, USA
| | - Michael Sioda
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Road, Charlotte, NC, 28223, USA
| | - Kristine J Steffen
- Department of Pharmaceutical Sciences, North Dakota State University, 1401 Albrecht Blvd, Fargo, ND, 58102, USA
- Center for Biobehavioral Research/Sanford Research, 120 8th St. S., Fargo, ND, 58103, USA
| |
Collapse
|
40
|
Tomkovich S, Gharaibeh RZ, Dejea CM, Pope JL, Jiang J, Winglee K, Gauthier J, Newsome RC, Yang Y, Fodor AA, Schmittgen TD, Sears CL, Jobin C. Human Colon Mucosal Biofilms and Murine Host Communicate via Altered mRNA and microRNA Expression during Cancer. mSystems 2020; 5:e00451-19. [PMID: 31937674 PMCID: PMC6967385 DOI: 10.1128/msystems.00451-19] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 12/21/2019] [Indexed: 01/09/2023] Open
Abstract
Disrupted interactions between host and intestinal bacteria are implicated in colorectal cancer (CRC) development. However, activities derived from these bacteria and their interplay with the host are unclear. Here, we examine this interplay by performing mouse and microbiota RNA sequencing on colon tissues and 16S and small RNA sequencing on stools from germfree (GF) and gnotobiotic ApcMin Δ 850/+ ;Il10-/- mice associated with microbes from biofilm-positive human CRC tumor (BF+T) and biofilm-negative healthy (BF-bx) tissues. The bacteria in BF+T mice differentially expressed (DE) >2,900 genes, including genes related to bacterial secretion, virulence, and biofilms but affected only 62 host genes. Small RNA sequencing of stools from these cohorts revealed eight significant DE host microRNAs (miRNAs) based on biofilm status and several miRNAs that correlated with bacterial taxon abundances. Additionally, computational predictions suggest that some miRNAs preferentially target bacterial genes while others primarily target mouse genes. 16S rRNA sequencing of mice that were reassociated with mucosa-associated communities from the initial association revealed a set of 13 bacterial genera associated with cancer that were maintained regardless of whether the reassociation inoculums were initially obtained from murine proximal or distal colon tissues. Our findings suggest that complex interactions within bacterial communities affect host-derived miRNA, bacterial composition, and CRC development.IMPORTANCE Bacteria and bacterial biofilms have been implicated in colorectal cancer (CRC), but it is still unclear what genes these microbial communities express and how they influence the host. MicroRNAs regulate host gene expression and have been explored as potential biomarkers for CRC. An emerging area of research is the ability of microRNAs to impact growth and gene expression of members of the intestinal microbiota. This study examined the bacteria and bacterial transcriptome associated with microbes derived from biofilm-positive human cancers that promoted tumorigenesis in a murine model of CRC. The murine response to different microbial communities (derived from CRC patients or healthy people) was evaluated through RNA and microRNA sequencing. We identified a complex interplay between biofilm-associated bacteria and the host during CRC in mice. These findings may lead to the development of new biomarkers and therapeutics for identifying and treating biofilm-associated CRCs.
Collapse
Affiliation(s)
- Sarah Tomkovich
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Raad Z Gharaibeh
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Christine M Dejea
- Bloomberg-Kimmel Institute of Immunotherapy, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
- Department of Oncology and Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Jillian L Pope
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jinmai Jiang
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Kathryn Winglee
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Josee Gauthier
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Rachel C Newsome
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Ye Yang
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Thomas D Schmittgen
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Cynthia L Sears
- Bloomberg-Kimmel Institute of Immunotherapy, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
- Department of Oncology and Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Christian Jobin
- Department of Medicine, University of Florida, Gainesville, Florida, USA
- Department of Infectious Diseases and Immunology, University of Florida, Gainesville, Florida, USA
| |
Collapse
|
41
|
Ellermann M, Gharaibeh RZ, Maharshak N, Peréz-Chanona E, Jobin C, Carroll IM, Arthur JC, Plevy SE, Fodor AA, Brouwer CR, Sartor RB. Dietary iron variably modulates assembly of the intestinal microbiota in colitis-resistant and colitis-susceptible mice. Gut Microbes 2019; 11:32-50. [PMID: 31179826 PMCID: PMC6973310 DOI: 10.1080/19490976.2019.1599794] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Iron deficiency, a common comorbidity of gastrointestinal inflammatory disorders such as inflammatory bowel diseases (IBD), is often treated with oral iron supplementation. However, the safety of oral iron supplementation remains controversial because of its association with exacerbated disease activity in a subset of IBD patients. Because iron modulates bacterial growth and function, one possible mechanism by which iron may exacerbate inflammation in susceptible hosts is by modulating the intestinal microbiota. We, therefore, investigated the impact of dietary iron on the intestinal microbiota, utilizing the conventionalization of germ-free mice as a model of a microbial community in compositional flux to recapitulate the instability of the IBD-associated intestinal microbiota. Our findings demonstrate that altering intestinal iron availability during community assembly modulated the microbiota in non-inflamed wild type (WT) and colitis-susceptible interleukin-10-deficient (Il10-/-) mice. Depletion of luminal iron availability promoted luminal compositional changes associated with dysbiotic states irrespective of host genotype, including an expansion of Enterobacteriaceae such as Escherichia coli. Mechanistic in vitro growth competitions confirmed that high-affinity iron acquisition systems in E. coli enhance its abundance over other bacteria in iron-restricted conditions, thereby enabling pathobiont iron scavenging during dietary iron restriction. In contrast, distinct luminal community assembly was observed with dietary iron supplementation in WT versus Il10-/- mice, suggesting that the effects of increased iron on the microbiota differ with host inflammation status. Taken together, shifts in dietary iron intake during community assembly modulate the ecological structure of the intestinal microbiota and is dependent on host genotype and inflammation status.
Collapse
Affiliation(s)
- Melissa Ellermann
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, USA
| | - Raad Z. Gharaibeh
- Bioinformatics Services Division, Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Kannapolis, NC, USA,Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Nitsan Maharshak
- Department of Gastroenterology and Liver Diseases, Tel Aviv Medical Center, Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, USA
| | - Ernesto Peréz-Chanona
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, USA
| | - Christian Jobin
- Department of Medicine, University of Florida, Gainesville, FL, USA,Department of Infectious Diseases and Pathology, University of Florida, Gainesville, FL, USA
| | - Ian M. Carroll
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA,Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Janelle C. Arthur
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, USA,Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Scott E Plevy
- Immunology Research and Development, Janssen Pharmaceuticals, Spring House, PA, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Cory R. Brouwer
- Bioinformatics Services Division, Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Kannapolis, NC, USA,Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - R. Balfour Sartor
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, USA,Department of Medicine, University of North Carolina, Chapel Hill, NC, USA,Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA,CONTACT R. Balfour Sartor Department of Microbiology and Immunology, University of North Carolina, Room 7309A Biomolecular Building, CB# 7032, Chapel Hill, NC 27599-7032, USA
| |
Collapse
|
42
|
Sun S, Lulla A, Sioda M, Winglee K, Wu MC, Jacobs DR, Shikany JM, Lloyd-Jones DM, Launer LJ, Fodor AA, Meyer KA. Gut Microbiota Composition and Blood Pressure. Hypertension 2019; 73:998-1006. [PMID: 30905192 PMCID: PMC6458072 DOI: 10.1161/hypertensionaha.118.12109] [Citation(s) in RCA: 150] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Animal models support a role for the gut microbiota in the development of hypertension. There has been a lack of epidemiological cohort studies to confirm these findings in human populations. We examined cross-sectional associations between measures of gut microbial diversity and taxonomic composition and blood pressure (BP) in 529 participants of the biracial (black and white) CARDIA study (Coronary Artery Risk Development in Young Adults). We sequenced V3-V4 regions of the 16S ribosomal RNA marker gene using DNA extracted from stool samples collected at CARDIA's Year 30 follow-up examination (2015-2016; aged 48-60 years). We quantified associations between BP (hypertension [defined as systolic BP ≥140 mm Hg or diastolic BP ≥90 mm Hg or antihypertension medication use] and systolic BP) and within and between-person diversity measures. We conducted genera-specific multivariable-adjusted regression analysis, accounting for multiple comparisons using the false discovery rate. Hypertension and systolic BP were inversely associated with measures of α-diversity, including richness and the Shannon Diversity Index, and were distinguished with respect to principal coordinates based on a similarity matrix of genera abundance. Several specific genera were significantly associated with hypertension and systolic BP, though results were attenuated with adjustment for body mass index. Our findings support associations between within-person and between-person gut microbial community diversity and taxonomic composition and BP in a diverse population-based cohort of middle-aged adults. Future study is needed to define functional pathways that underlie observed associations and identify specific microbial targets for intervention.
Collapse
Affiliation(s)
- Shan Sun
- Department of Bioinformatics; University of North Carolina at Charlotte; Charlotte, NC
| | - Anju Lulla
- Nutrition Research Institute; University of North Carolina at Chapel Hill; Kannapolis, NC
| | - Michael Sioda
- Department of Bioinformatics; University of North Carolina at Charlotte; Charlotte, NC
| | - Kathryn Winglee
- Department of Bioinformatics; University of North Carolina at Charlotte; Charlotte, NC
| | - Michael C. Wu
- Public Health Sciences Division; Fred Hutchinson Cancer Research Center; Seattle, WA
| | - David R. Jacobs
- Division of Epidemiology and Community Health; University of Minnesota; Minneapolis, MN
| | - James M. Shikany
- Division of Preventive Medicine; University of Alabama at Birmingham; Birmingham, AL
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine; Northwestern University Feinberg School of Medicine; Chicago, IL
| | - Lenore J. Launer
- Neuroepidemiology Section; National Institute on Aging; Bethesda, MD
| | - Anthony A. Fodor
- Department of Bioinformatics; University of North Carolina at Charlotte; Charlotte, NC
| | - Katie A. Meyer
- Nutrition Research Institute; University of North Carolina at Chapel Hill; Kannapolis, NC.,Department of Nutrition; University of North Carolina at Chapel Hill; Chapel Hill, NC
| |
Collapse
|
43
|
Tomkovich S, Dejea CM, Winglee K, Drewes JL, Chung L, Housseau F, Pope JL, Gauthier J, Sun X, Mühlbauer M, Liu X, Fathi P, Anders RA, Besharati S, Perez-Chanona E, Yang Y, Ding H, Wu X, Wu S, White JR, Gharaibeh RZ, Fodor AA, Wang H, Pardoll DM, Jobin C, Sears CL. Human colon mucosal biofilms from healthy or colon cancer hosts are carcinogenic. J Clin Invest 2019; 129:1699-1712. [PMID: 30855275 DOI: 10.1172/jci124196] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 02/01/2019] [Indexed: 12/13/2022] Open
Abstract
Mucus-invasive bacterial biofilms are identified on the colon mucosa of approximately 50% of colorectal cancer (CRC) patients and approximately 13% of healthy subjects. Here, we test the hypothesis that human colon biofilms comprise microbial communities that are carcinogenic in CRC mouse models. Homogenates of human biofilm-positive colon mucosa were prepared from tumor patients (tumor and paired normal tissues from surgical resections) or biofilm-positive biopsies from healthy individuals undergoing screening colonoscopy; homogenates of biofilm-negative colon biopsies from healthy individuals undergoing screening colonoscopy served as controls. After 12 weeks, biofilm-positive, but not biofilm-negative, human colon mucosal homogenates induced colon tumor formation in 3 mouse colon tumor models (germ-free ApcMinΔ850/+;Il10-/- or ApcMinΔ850/+ and specific pathogen-free ApcMinΔ716/+ mice). Remarkably, biofilm-positive communities from healthy colonoscopy biopsies induced colon inflammation and tumors similarly to biofilm-positive tumor tissues. By 1 week, biofilm-positive human tumor homogenates, but not healthy biopsies, displayed consistent bacterial mucus invasion and biofilm formation in mouse colons. 16S rRNA gene sequencing and RNA-Seq analyses identified compositional and functional microbiota differences between mice colonized with biofilm-positive and biofilm-negative communities. These results suggest human colon mucosal biofilms, whether from tumor hosts or healthy individuals undergoing screening colonoscopy, are carcinogenic in murine models of CRC.
Collapse
Affiliation(s)
- Sarah Tomkovich
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Christine M Dejea
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Kathryn Winglee
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Julia L Drewes
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Liam Chung
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Franck Housseau
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Jillian L Pope
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Josee Gauthier
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Xiaolun Sun
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Marcus Mühlbauer
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Xiuli Liu
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
| | - Payam Fathi
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Robert A Anders
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Sepideh Besharati
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Ye Yang
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Hua Ding
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Xinqun Wu
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Shaoguang Wu
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | | | - Raad Z Gharaibeh
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Hao Wang
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Drew M Pardoll
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Christian Jobin
- Department of Medicine, University of Florida, Gainesville, Florida, USA.,Department of Infectious Diseases and Immunology, University of Florida, Gainesville, Florida, USA
| | - Cynthia L Sears
- Bloomberg-Kimmel Institute for Immunotherapy, Departments of Oncology and Medicine and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| |
Collapse
|
44
|
Spencer MD, Winglee K, Passaretti C, Earl AM, Manson AL, Mulder HP, Sautter RL, Fodor AA. Whole Genome Sequencing detects Inter-Facility Transmission of Carbapenem-resistant Klebsiella pneumoniae. J Infect 2018; 78:187-199. [PMID: 30503842 PMCID: PMC6408229 DOI: 10.1016/j.jinf.2018.11.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 11/03/2018] [Accepted: 11/19/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To identify transmission patterns of Carbapenem-resistant Klebsiella pneumoniae infection during an outbreak at a large, tertiary care hospital and to detect whether the outbreak organisms spread to other facilities in the integrated healthcare network. METHODS We analyzed 71 K. pneumoniae whole genome sequences collected from clinical specimens before, during and after the outbreak and reviewed corresponding patient medical records. Sequence and patient data were used to model probable transmissions and assess factors associated with the outbreak. RESULTS We identified close genetic relationships among carbapenem-resistant K. pneumoniae isolates sampled during the study period. Transmission tree analysis combined with patient records uncovered extended periods of silent colonization in many study patients and transmission routes that were likely the result of asymptomatic patients transitioning between facilities. CONCLUSIONS Detecting how and where Carbapenem-resistant K. pneumoniae infections spread is challenging in an environment of rising prevalence, asymptomatic carriage and mobility of patients. Whole genome sequencing improved the precision of investigating inter-facility transmissions. Our results emphasize that containment of Carbapenem-resistant K. pneumoniae infections requires coordinated efforts between healthcare networks and settings of care that acknowledge and mitigate transmission risk conferred by undetected carriage and by patient transfers between facilities.
Collapse
Affiliation(s)
- Melanie D Spencer
- Center for Outcomes Research and Evaluation, Atrium Health, Research Office Building, 1540 Garden Terrace, Charlotte, NC 28203, USA.
| | - Kathryn Winglee
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Road, Charlotte NC 28223, USA.
| | - Catherine Passaretti
- Departments of Internal Medicine and Infectious Disease, Atrium Health, 1616 Scott Avenue, Charlotte, NC 28203, USA.
| | - Ashlee M Earl
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA 02142, USA.
| | - Abigail L Manson
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA 02142, USA.
| | - Holly P Mulder
- Center for Outcomes Research and Evaluation, Atrium Health, Research Office Building, 1540 Garden Terrace, Charlotte, NC 28203, USA.
| | - Robert L Sautter
- Carolinas Pathology Group, P.O. Box 30637, Charlotte, NC 28230, USA.
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Road, Charlotte NC 28223, USA.
| |
Collapse
|
45
|
Bajorek S, Parker L, Li N, Winglee K, Weaver M, Johnson J, Sioda M, Gauthier J, Lemas DJ, Jobin C, Lorca G, Neu J, Fodor AA. Initial microbial community of the neonatal stomach immediately after birth. Gut Microbes 2018; 10:289-297. [PMID: 30404568 PMCID: PMC6546338 DOI: 10.1080/19490976.2018.1520578] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
The purpose of this prospective cross-sectional cohort pilot study is to explore the initial microbial community of gastric aspirate fluid as collected immediately after birth and its relationships with mode of delivery and preterm birth. Twenty-nine gastric aspirate samples collected immediately after birth from infants born between 24-40 weeks gestation were analyzed for microbial composition. Total microbial content was low in many samples, with a substantial number sharing taxonomic composition with negative controls. qPCR targeting the 16S rRNA gene showed that infants delivered vaginally had a higher microbial load than infants delivered by C-section. Some pre-term samples showed high relative abundance of genus Ureaplasma, consistent with previous literature that has implicated infections with this taxon as a potential cause of pre-term birth. Vaginally born term infant samples, by contrast, had significantly higher levels of genus Lactobacillus with Lactobacillus crispatus the most dominant species. Microbial evaluation showed that vaginally born term infant gastric aspirate samples had higher levels of lactobacilli than pre-terms. Samples from many infants had low microbial load near the edge of the detection limit.
Collapse
Affiliation(s)
- Sarah Bajorek
- Department of Pediatrics, Division of Neonatology, University of Florida, Gainesville, USA
| | - Leslie Parker
- College of Nursing, University of Florida, Gainesville, USA
| | - Nan Li
- Department of Pediatrics, Division of Neonatology, University of Florida, Gainesville, USA
| | - Kathryn Winglee
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA
| | - Michael Weaver
- College of Nursing, University of Florida, Gainesville, USA
| | - James Johnson
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA
| | - Michael Sioda
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA
| | - Josee Gauthier
- Department of Medicine and Division of Gastroenterology, Hepatology, and Nutrition, University of Florida, Gainesville, USA
| | - Dominick J. Lemas
- Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, USA
| | - Christian Jobin
- Department of Medicine and Division of Gastroenterology, Hepatology, and Nutrition, University of Florida, Gainesville, USA
| | - Graciela Lorca
- Department of Microbiology and Cell Science, University of Florida, Gainesville, USA
| | - Josef Neu
- Department of Pediatrics, Division of Neonatology, University of Florida, Gainesville, USA,CONTACT Josef Neu
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA
| |
Collapse
|
46
|
Fan TJ, Tchaptchet SY, Arsene D, Mishima Y, Liu B, Sartor RB, Carroll IM, Miao EA, Fodor AA, Hansen JJ. Environmental Factors Modify the Severity of Acute DSS Colitis in Caspase-11-Deficient Mice. Inflamm Bowel Dis 2018; 24:2394-2403. [PMID: 30312415 PMCID: PMC6185382 DOI: 10.1093/ibd/izy244] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 06/28/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND Human and mouse studies implicate the inflammasome in the pathogenesis of inflammatory bowel diseases, though the effects in mice are variable. The noncanonical inflammasome activator caspase-11 (Casp11) reportedly attenuates acute dextran sodium sulfate (DSS) colitis in mice. However, the effects of Casp11 on chronic experimental colitis and factors that influence the impact of Casp11 on acute DSS colitis are unknown. METHODS We studied the role of Casp11 in Il10-/- mice and acute and chronic DSS colitis mouse models. We quantified colonic Casp11 mRNA using quantative polymerase chain reaction and colitis using weight loss, blinded histological scoring, IL-12/23p40 secretion by colonic explants, and fecal lipocalin-2. We determined fecal microbial composition using 16S amplicon sequencing. RESULTS We detected increased colonic Casp11 mRNA in Il10-/- mice with chronic colitis, but not in mice with DSS colitis. The presence of Casp11 did not alter the severity of chronic colitis in DSS-treated or Il10-/- mice. Contrary to prior reports, we initially observed that Casp11 exacerbates acute DSS colitis. Subsequent experiments in the same animal facility revealed no effect of Casp11 on acute DSS colitis. There were pronounced stochastic changes in the fecal microbiome over this time. The majority of bacterial taxa that changed over time in wild-type vs Casp11-/- mice belong to the Clostridiales. CONCLUSIONS Casp11 does not impact chronic experimental colitis, and its effects on acute DSS colitis vary with environmental factors including the microbiota, particularly Clostridiales. Stochastic drifts in intestinal microbiota composition, even in mice in the same housing facility, should be considered when interpreting studies of acute DSS colitis models.
Collapse
Affiliation(s)
- Ting-Jia Fan
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Sandrine Y Tchaptchet
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Diana Arsene
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Yoshiyuki Mishima
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Department of Internal Medicine II, Shimane University Faculty of Medicine, Izumo, Shimane, Japan
| | - Bo Liu
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - R Balfour Sartor
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Ian M Carroll
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Edward A Miao
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina
| | - Jonathan J Hansen
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Division of Gastroenterology and Hepatology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Address correspondence to: Jonathan J. Hansen, MD, PhD, Internal Medicine, Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, 7341 MBRB, CB 7032, Chapel Hill, NC 27599-7032 ()
| |
Collapse
|
47
|
Thomas RM, Gharaibeh RZ, Gauthier J, Beveridge M, Pope JL, Guijarro MV, Yu Q, He Z, Ohland C, Newsome R, Trevino J, Hughes SJ, Reinhard M, Winglee K, Fodor AA, Zajac-Kaye M, Jobin C. Intestinal microbiota enhances pancreatic carcinogenesis in preclinical models. Carcinogenesis 2018; 39:1068-1078. [PMID: 29846515 PMCID: PMC6067127 DOI: 10.1093/carcin/bgy073] [Citation(s) in RCA: 126] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 04/12/2018] [Accepted: 05/25/2018] [Indexed: 01/18/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer death in the United States yet data are scant regarding host factors influencing pancreatic carcinogenesis. Increasing evidence support the role of the host microbiota in carcinogenesis but its role in PDAC is not well established. Herein, we report that antibiotic-mediated microbial depletion of KrasG12D/PTENlox/+ mice showed a decreased proportion of poorly differentiated tumors compared to microbiota-intact KrasG12D/PTENlox/+ mice. Subsequent 16S rRNA PCR showed that ~50% of KrasG12D/PTENlox/+ mice with PDAC harbored intrapancreatic bacteria. To determine if a similar observation in humans correlates with presence of PDAC, benign and malignant human pancreatic surgical specimens demonstrated a microbiota by 16S bacterial sequencing and culture confirmation. However, the microbial composition did not differentiate PDAC from non-PDAC tissue. Furthermore, murine pancreas did not naturally acquire a pancreatic microbiota, as germ-free mice transferred to specific pathogen-free housing failed to acquire intrapancreatic bacteria over time, which was not augmented by a murine model of colitis. Finally, antibiotic-mediated microbial depletion of Nod-SCID mice, compared to microbiota-intact, showed increased time to PDAC xenograft formation, smaller tumors, and attenuated growth. Interestingly, both xenograft cohorts were devoid of intratumoral bacteria by 16S rRNA PCR, suggesting that intrapancreatic/intratumoral microbiota is not the sole driver of PDAC acceleration. Xenografts from microbiota-intact mice demonstrated innate immune suppression by immunohistochemistry and differential regulation of oncogenic pathways as determined by RNA sequencing. Our work supports a long-distance role of the intestinal microbiota on PDAC progression and opens new research avenues regarding pancreatic carcinogenesis.
Collapse
Affiliation(s)
- Ryan M Thomas
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA
- Department of Surgery, North Florida/South Georgia Veterans Health System, Gainesville, FL, USA
| | - Raad Z Gharaibeh
- Department of Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Josee Gauthier
- Department of Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Mark Beveridge
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Jillian L Pope
- Department of Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Maria V Guijarro
- Department of Anatomy and Cell Biology, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Qin Yu
- Department of Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Zhen He
- Department of Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Christina Ohland
- Department of Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Rachel Newsome
- Department of Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Jose Trevino
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Steven J Hughes
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Mary Reinhard
- Laboratory of Comparative Pathology, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Kathryn Winglee
- Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte College of Computing and Informatics, Charlotte, NC, USA
| | - Anthony A Fodor
- Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte College of Computing and Informatics, Charlotte, NC, USA
| | - Maria Zajac-Kaye
- Department of Anatomy and Cell Biology, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
| | - Christian Jobin
- Department of Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
- Department of Anatomy and Cell Biology, University of Florida College of Veterinary Medicine, Gainesville, FL, USA
- Department of Infectious Disease and Immunology, University of Florida College of Medicine, Gainesville, FL 32610, USA
| |
Collapse
|
48
|
Wilson QN, Wells M, Davis AT, Sherrill C, Tsilimigras MCB, Jones RB, Fodor AA, Kavanagh K. Greater Microbial Translocation and Vulnerability to Metabolic Disease in Healthy Aged Female Monkeys. Sci Rep 2018; 8:11373. [PMID: 30054517 PMCID: PMC6063974 DOI: 10.1038/s41598-018-29473-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 07/06/2018] [Indexed: 12/14/2022] Open
Abstract
Monkeys demonstrate gastrointestinal barrier dysfunction (leaky gut) as evidenced by higher biomarkers of microbial translocation (MT) and inflammation with ageing despite equivalent health status, and lifelong diet and environmental conditions. We evaluated colonic structural, microbiomic and functional changes in old female vervet monkeys (Chlorocebus aethiops sabeus) and how age-related leaky gut alters responses to Western diet. We additionally assessed serum bovine immunoglobulin therapy to lower MT burden. MT was increased in old monkeys despite comparable histological appearance of the ascending colon. Microbiome profiles from 16S sequencing did not show large differences by age grouping, but there was evidence for higher mucosal bacterial loads using qPCR. Innate immune responses were increased in old monkeys consistent with higher MT burdens. Western diet challenge led to elevations in glycemic and hepatic biochemistry values only in old monkeys, and immunoglobulin therapy was not effective in reducing MT markers or improving metabolic health. We interpret these findings to suggest that ageing may lead to lower control over colonization at the mucosal surface, and reduced clearance of pathogens resulting in MT and inflammation. Leaky gut in ageing, which is not readily rescued by innate immune support with immunoglobulin, primes the liver for negative consequences of high fat, high sugar diets.
Collapse
Affiliation(s)
- Quentin N Wilson
- Wake Forest School of Medicine, Department of Pathology, Winston-Salem, USA
| | - Magan Wells
- Wake Forest School of Medicine, Department of Pathology, Winston-Salem, USA
| | - Ashley T Davis
- Wake Forest School of Medicine, Department of Pathology, Winston-Salem, USA
| | - Christina Sherrill
- Wake Forest School of Medicine, Department of Pathology, Winston-Salem, USA
| | - Matthew C B Tsilimigras
- University of North Carolina at Charlotte, Department of Bioinformatics and Genomics, Charlotte, USA
| | - Roshonda B Jones
- University of North Carolina at Charlotte, Department of Bioinformatics and Genomics, Charlotte, USA
| | - Anthony A Fodor
- University of North Carolina at Charlotte, Department of Bioinformatics and Genomics, Charlotte, USA
| | - Kylie Kavanagh
- Wake Forest School of Medicine, Department of Pathology, Winston-Salem, USA.
| |
Collapse
|
49
|
Fodor AA, Pimentel M, Chey WD, Lembo A, Golden PL, Israel RJ, Carroll IM. Rifaximin is associated with modest, transient decreases in multiple taxa in the gut microbiota of patients with diarrhoea-predominant irritable bowel syndrome. Gut Microbes 2018; 10:22-33. [PMID: 29708822 PMCID: PMC6363070 DOI: 10.1080/19490976.2018.1460013] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 02/28/2018] [Accepted: 03/28/2018] [Indexed: 02/03/2023] Open
Abstract
Rifaximin, a non-systemic antibiotic, is efficacious for the treatment of diarrhoea-predominant irritable bowel syndrome (IBS-D). Given the emerging association between the gut microbiota and IBS, this study examined potential effects of rifaximin on the gastrointestinal microbial community in patients with IBS-D. TARGET 3 was a randomised, double-blind, placebo-controlled, phase 3 study. Patients with IBS-D initially received open-label rifaximin 550 mg 3 times daily (TID) for 2 weeks. Patients who responded to the initial treatment and then relapsed were randomised to receive 2 repeat courses of rifaximin 550 mg TID or placebo for 2 weeks, with each course separated by 10 weeks. Stool samples were collected at the beginning and end of open-label treatment, at the beginning and end of the first double-blind treatment, and at the end of the study. As a secondary analysis to the TARGET 3 trial, the composition and diversity of the gut microbiota were assessed, from a random subset of patients, using variable 4 hypervariable region 16S ribosomal RNA gene sequencing. Samples from 103 patients were included. After open-label rifaximin treatment for 2 weeks, 7 taxa (e.g. Peptostreptococcaceae, Verrucomicrobiaceae, Enterobacteriaceae) had significantly lower relative abundance at a 10% false discovery rate threshold. The effects of rifaximin were generally short-term, as there was little evidence of significantly different changes in taxa relative abundance at the end of the study (up to 46 weeks) versus baseline. The results suggest that rifaximin has a modest, largely transient effect across a broad range of stool microbes. Future research may determine whether the taxa affected by rifaximin are causally linked to IBS-D. ClinicalTrials.gov identifier number: NCT01543178.
Collapse
Affiliation(s)
- Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Mark Pimentel
- Division of Gastroenterology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - William D. Chey
- Division of Gastroenterology, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Anthony Lembo
- Division of Gastroenterology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Pamela L. Golden
- Nonclinical and Clinical Pharmacology, Clinical and Medical Affairs, Salix Pharmaceuticals, Bridgewater, New Jersey, USA**
| | - Robert J. Israel
- Nonclinical and Clinical Pharmacology, Clinical and Medical Affairs, Salix Pharmaceuticals, Bridgewater, New Jersey, USA**
| | - Ian M. Carroll
- Department of Nutrition and Division of Gastroenterology and Hepatology, University of North Carolina, Chapel Hill, North Carolina, USA
| |
Collapse
|
50
|
Jones RB, Zhu X, Moan E, Murff HJ, Dai Q, Shrubsole MJ, Fodor AA, Azcarate-Peril MA, Ness RM, Seidner DL. Abstract 3266: Measurement and comparison of the gut microbial communities in fecal, rectal swab, and mucosal samples. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-3266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Studies evaluating the gut microbiome frequently use stool. However, stool, which is predominantly composed of luminal bacteria, may not adequately reflect mucosally adherent bacteria. The purpose of this study is to evaluate similarities and differences in gut bacterial measurements and stability in the microbial communities of three different types of samples that could be used to assess different niches of the gut microbiome: rectal swab, stool, and normal rectal mucosa samples.
Design: Sixty-eight participants were selected from a personalized chemoprevention trial population of individuals with previous colorectal adenomas who had donated stool, swab, and mucosal samples at baseline and three months later. 16S rRNA amplicon sequencing was conducted for 60 participants at two time points (n=120 stool and 120 swab). Whole-genome shotgun metagenomics DNA sequencing was conducted for 50 participants at two time points (n=100 stool, 28 swab, and 16 mucosal).
Results: In swab-stool comparisons, there were substantial taxa differences with some taxa varying largely by sample type (e.g., Thermaceae) while other taxa were predominantly associated with interindividual subject variation (e.g., Desulfovibrionaceae) or by both sample type and participant (e.g., Enterobacteriaceae). At species-level resolution (with WGS sequences) we observed that bacteria associated with colorectal tumors (Escherichia coli and Fusobacterium nucleatum) were of higher relative abundance in swab than stool. There were also statistically significant differences in other bacteria according to the sample type (e.g., Bifidobacterium longum, Bacteroides fragilis). Comparing all three sample types with whole-genome metagenome shotgun sequencing, swab samples were much closer to stool samples than mucosa samples, although all KEGG functional Level 1 and Level 2 pathways were significantly different across all sample types (e.g., transcription and environmental adaptation). However, the individual signature of participants was also observed and was largely stable between two time points. Thus, we found that while the distribution of some taxa was associated with these different sampling techniques, other taxa largely reflected individual differences in the microbial community that were insensitive to sampling technique.
Conclusion: There is substantial variability in the assessment of the gut microbial community according to the type of sample.
Citation Format: Roshonda B Jones, Xiangzhu Zhu, Emili Moan, Harvey J. Murff, Qi Dai, Martha J. Shrubsole, Anthony A. Fodor, M. Andrea Azcarate-Peril, Reid M. Ness, Douglas L. Seidner. Measurement and comparison of the gut microbial communities in fecal, rectal swab, and mucosal samples [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3266.
Collapse
Affiliation(s)
| | | | - Emili Moan
- 3North Carolina State University, Raleigh, NC
| | | | - Qi Dai
- 2Vanderbilt-Ingram Cancer Ctr., Nashville, TN
| | | | | | | | - Reid M. Ness
- 5Vanderbilt University Medical Center, Nashville, TN
| | | |
Collapse
|