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Kumar T, Bryant M, Cantrell K, Song SJ, McDonald D, Tubb HM, Farmer S, Lewis A, Lukacz ES, Brubaker L, Knight R. Effects of variation in sample storage conditions and swab order on 16S vaginal microbiome analyses. Microbiol Spectr 2024; 12:e0371223. [PMID: 38095462 PMCID: PMC10783137 DOI: 10.1128/spectrum.03712-23] [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: 10/21/2023] [Accepted: 11/20/2023] [Indexed: 01/13/2024] Open
Abstract
IMPORTANCE The composition of the human vaginal microbiome has been linked to a variety of medical conditions including yeast infection, bacterial vaginosis, and sexually transmitted infection. The vaginal microbiome is becoming increasingly acknowledged as a key factor in personal health, and it is essential to establish methods to collect and process accurate samples with self-collection techniques to allow large, population-based studies. In this study, we investigate if using AssayAssure Genelock, a nucleic acid preservative, introduces microbial biases in self-collected vaginal samples. To our knowledge, we also contribute some of the first evidence regarding the impacts of multiple swabs taken at one time point. Vaginal samples have relatively low biomass, so the ability to collect multiple swabs from a unique participant at a single time would greatly improve the replicability and data available for future studies. This will hopefully lay the groundwork to gain a more complete and accurate understanding of the vaginal microbiome.
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Affiliation(s)
- Tanya Kumar
- Medical Scientist Training Program, University of California San Diego, La Jolla, California, USA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Kalen Cantrell
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Se Jin Song
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Helena M. Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Amanda Lewis
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, California, USA
| | - Emily S. Lukacz
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, California, USA
| | - Linda Brubaker
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, California, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
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Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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Shimano H, Shimizu Y, Shimoda H, Shin K, Shivashankar G, Shojima N, Silva R, Sim CSB, Simmons K, Sinha S, Sitter T, Sivanandam S, Skipper M, Sloan K, Sloan L, Smith R, Smyth J, Sobande T, Sobata M, Somalanka S, Song X, Sonntag F, Sood B, Sor SY, Soufer J, Sparks H, Spatoliatore G, Spinola T, Squyres S, Srivastava A, Stanfield J, Staplin N, Staylor K, Steele A, Steen O, Steffl D, Stegbauer J, Stellbrink C, Stellbrink E, Stevens W, Stevenson A, Stewart-Ray V, Stickley J, Stoffler D, Stratmann B, Streitenberger S, Strutz F, Stubbs J, Stumpf J, Suazo N, Suchinda P, Suckling R, Sudin A, Sugamori K, Sugawara H, Sugawara K, Sugimoto D, Sugiyama H, Sugiyama H, Sugiyama T, Sullivan M, Sumi M, Suresh N, Sutton D, Suzuki H, Suzuki R, Suzuki Y, Suzuki Y, Suzuki Y, Swanson E, Swift P, Syed S, Szerlip H, Taal M, Taddeo M, Tailor C, Tajima K, Takagi M, Takahashi K, Takahashi K, Takahashi M, Takahashi T, Takahira E, Takai T, Takaoka M, Takeoka J, Takesada A, Takezawa M, Talbot M, Taliercio J, Talsania T, Tamori Y, Tamura R, Tamura Y, Tan CHH, Tan EZZ, Tanabe A, Tanabe K, Tanaka A, Tanaka A, Tanaka N, Tang S, Tang Z, Tanigaki K, Tarlac M, Tatsuzawa A, Tay JF, Tay LL, Taylor J, Taylor K, Taylor K, Te A, Tenbusch L, Teng KS, Terakawa A, Terry J, Tham ZD, Tholl S, Thomas G, Thong KM, Tietjen D, Timadjer A, Tindall H, Tipper S, Tobin K, Toda N, Tokuyama A, Tolibas M, Tomita A, Tomita T, Tomlinson J, Tonks L, Topf J, Topping S, Torp A, Torres A, Totaro F, Toth P, Toyonaga Y, Tripodi F, Trivedi K, Tropman E, Tschope D, Tse J, Tsuji K, Tsunekawa S, Tsunoda R, Tucky B, Tufail S, Tuffaha A, Turan E, Turner H, Turner J, Turner M, Tuttle KR, Tye YL, Tyler A, Tyler J, Uchi H, Uchida H, Uchida T, Uchida T, Udagawa T, Ueda S, Ueda Y, Ueki K, Ugni S, Ugwu E, Umeno R, Unekawa C, Uozumi K, Urquia K, Valleteau A, Valletta C, van Erp R, Vanhoy C, Varad V, Varma R, Varughese A, Vasquez P, Vasseur A, Veelken R, Velagapudi C, Verdel K, Vettoretti S, Vezzoli G, Vielhauer V, Viera R, Vilar E, Villaruel S, Vinall L, Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Oles RE, Terrazas MC, Loomis LR, Hsu CY, Tribelhorn C, Ferre PB, Ea A, Bryant M, Young J, Carrow HC, Sandborn WJ, Dulai P, Sivagnanam M, Pride D, Knight R, Chu H. Pangenome comparison of Bacteroides fragilis genomospecies unveil genetic diversity and ecological insights. bioRxiv 2023:2023.12.20.572674. [PMID: 38187556 PMCID: PMC10769428 DOI: 10.1101/2023.12.20.572674] [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: 01/09/2024]
Abstract
Bacteroides fragilis is a Gram-negative commensal bacterium commonly found in the human colon that differentiates into two genomospecies termed division I and II. We leverage a comprehensive collection of 694 B. fragilis whole genome sequences and report differential gene abundance to further support the recent proposal that divisions I and II represent separate species. In division I strains, we identify an increased abundance of genes related to complex carbohydrate degradation, colonization, and host niche occupancy, confirming the role of division I strains as gut commensals. In contrast, division II strains display an increased prevalence of plant cell wall degradation genes and exhibit a distinct geographic distribution, primarily originating from Asian countries, suggesting dietary influences. Notably, division II strains have an increased abundance of genes linked to virulence, survival in toxic conditions, and antimicrobial resistance, consistent with a higher incidence of these strains in bloodstream infections. This study provides new evidence supporting a recent proposal for classifying divisions I and II B. fragilis strains as distinct species, and our comparative genomic analysis reveals their niche-specific roles.
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Affiliation(s)
- Renee E Oles
- Department of Pathology, University of California, San Diego, La Jolla, CA
- Department of Pediatrics, School of Medicine, University of California, La Jolla, CA
| | | | - Luke R Loomis
- Department of Pathology, University of California, San Diego, La Jolla, CA
| | - Chia-Yun Hsu
- Department of Pathology, University of California, San Diego, La Jolla, CA
| | - Caitlin Tribelhorn
- Department of Pediatrics, School of Medicine, University of California, La Jolla, CA
| | - Pedro Belda Ferre
- Department of Pediatrics, School of Medicine, University of California, La Jolla, CA
| | - Allison Ea
- Department of Pathology, University of California, San Diego, La Jolla, CA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California, La Jolla, CA
| | - Jocelyn Young
- Department of Pediatrics, School of Medicine, University of California, La Jolla, CA
- Rady Children's Hospital, San Diego, CA, United States
| | - Hannah C Carrow
- Department of Pathology, University of California, San Diego, La Jolla, CA
| | - William J Sandborn
- Division of Gastroenterology, University of California, San Diego, La Jolla, CA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA
| | - Parambir Dulai
- Division of Gastroenterology, University of California, San Diego, La Jolla, CA
- Division of Gastroenterology, Northwestern University, Chicago, Illinois
| | - Mamata Sivagnanam
- Department of Pediatrics, School of Medicine, University of California, La Jolla, CA
- Rady Children's Hospital, San Diego, CA, United States
| | - David Pride
- Department of Pathology, University of California, San Diego, La Jolla, CA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA
- Center for Innovative Phage Applications and Therapeutics (IPATH), University of California, San Diego, La Jolla, CA
- Center of Advanced Laboratory Medicine (CALM), University of California, San Diego, La Jolla, CA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California, La Jolla, CA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA
- Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA
| | - Hiutung Chu
- Department of Pathology, University of California, San Diego, La Jolla, CA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA
- Chiba University-UC San Diego Center for Mucosal Immunology, Allergy and Vaccines (cMAV), University of California, San Diego, La Jolla, CA
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Gauglitz JM, West KA, Bittremieux W, Williams CL, Weldon KC, Panitchpakdi M, Di Ottavio F, Aceves CM, Brown E, Sikora NC, Jarmusch AK, Martino C, Tripathi A, Meehan MJ, Dorrestein K, Shaffer JP, Coras R, Vargas F, Goldasich LD, Schwartz T, Bryant M, Humphrey G, Johnson AJ, Spengler K, Belda-Ferre P, Diaz E, McDonald D, Zhu Q, Elijah EO, Wang M, Marotz C, Sprecher KE, Vargas-Robles D, Withrow D, Ackermann G, Herrera L, Bradford BJ, Marques LMM, Amaral JG, Silva RM, Veras FP, Cunha TM, Oliveira RDR, Louzada-Junior P, Mills RH, Piotrowski PK, Servetas SL, Da Silva SM, Jones CM, Lin NJ, Lippa KA, Jackson SA, Daouk RK, Galasko D, Dulai PS, Kalashnikova TI, Wittenberg C, Terkeltaub R, Doty MM, Kim JH, Rhee KE, Beauchamp-Walters J, Wright KP, Dominguez-Bello MG, Manary M, Oliveira MF, Boland BS, Lopes NP, Guma M, Swafford AD, Dutton RJ, Knight R, Dorrestein PC. Author Correction: Enhancing untargeted metabolomics using metadata-based source annotation. Nat Biotechnol 2023; 41:1656. [PMID: 37853256 DOI: 10.1038/s41587-023-02025-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Affiliation(s)
- Julia M Gauglitz
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kiana A West
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Wout Bittremieux
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Candace L Williams
- Beckman Center for Conservation Research, San Diego Zoo Wildlife Alliance, Escondido, CA, USA
| | - Kelly C Weldon
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Morgan Panitchpakdi
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Francesca Di Ottavio
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth Brown
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Nicole C Sikora
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Anupriya Tripathi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Michael J Meehan
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kathleen Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Roxana Coras
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Fernando Vargas
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | | | - Tara Schwartz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gregory Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Abigail J Johnson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Katharina Spengler
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Edgar Diaz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Qiyun Zhu
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Emmanuel O Elijah
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Mingxun Wang
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kate E Sprecher
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Daniela Vargas-Robles
- Servicio Autónomo Centro Amazónico de Investigación y Control de Enfermedades Tropicales Simón Bolívar, Puerto Ayacucho, Amazonas, Venezuela
| | - Dana Withrow
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Lourdes Herrera
- Department of Pediatrics, Billings Clinic, Billings, MT, USA
| | - Barry J Bradford
- Department of Animal Science, Michigan State University, East Lansing, MI, USA
| | - Lucas Maciel Mauriz Marques
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Juliano Geraldo Amaral
- Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil
| | - Rodrigo Moreira Silva
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Flavio Protasio Veras
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Thiago Mattar Cunha
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Rene Donizeti Ribeiro Oliveira
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Paulo Louzada-Junior
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Robert H Mills
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Paulina K Piotrowski
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Stephanie L Servetas
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Sandra M Da Silva
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Christina M Jones
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Nancy J Lin
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Katrice A Lippa
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Scott A Jackson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Rima Kaddurah Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Parambir S Dulai
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | | | - Curt Wittenberg
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Robert Terkeltaub
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
- San Diego VA Healthcare System, San Diego, CA, USA
| | - Megan M Doty
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Division of Neonatology, Department of Pediatrics, Kapi'olani Medical Center for Women and Children, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Jae H Kim
- Division of Neonatology, Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kyung E Rhee
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Julia Beauchamp-Walters
- Division of Pediatric Hospital Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Kenneth P Wright
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Maria Gloria Dominguez-Bello
- Department of Biochemistry and Microbiology, School of Environmental and Biological Sciences; Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Mark Manary
- Department of Pediatrics, Washington University, St. Louis, MO, USA
| | - Michelli F Oliveira
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brigid S Boland
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Norberto Peporine Lopes
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Monica Guma
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rachel J Dutton
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Medicine, 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 Bioengineering, University of California San Diego, La Jolla, CA, USA.
| | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA.
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA.
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Brennan C, Salido RA, Belda-Ferre P, Bryant M, Cowart C, Tiu MD, González A, McDonald D, Tribelhorn C, Zarrinpar A, Knight R. Maximizing the potential of high-throughput next-generation sequencing through precise normalization based on read count distribution. mSystems 2023; 8:e0000623. [PMID: 37350611 PMCID: PMC10469589 DOI: 10.1128/msystems.00006-23] [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: 01/05/2023] [Accepted: 04/24/2023] [Indexed: 06/24/2023] Open
Abstract
Next-generation sequencing technologies have enabled many advances across diverse areas of biology, with many benefiting from increased sample size. Although the cost of running next-generation sequencing instruments has dropped substantially over time, the cost of sample preparation methods has lagged behind. To counter this, researchers have adapted library miniaturization protocols and large sample pools to maximize the number of samples that can be prepared by a certain amount of reagents and sequenced in a single run. However, due to high variability of sample quality, over and underrepresentation of samples in a sequencing run has become a major issue in high-throughput sequencing. This leads to misinterpretation of results due to increased noise, and additional time and cost rerunning underrepresented samples. To overcome this problem, we present a normalization method that uses shallow iSeq sequencing to accurately inform pooling volumes based on read distribution. This method is superior to the widely used fluorometry methods, which cannot specifically target adapter-ligated molecules that contribute to sequencing output. Our normalization method not only quantifies adapter-ligated molecules but also allows normalization of feature space; for example, we can normalize to reads of interest such as non-ribosomal reads. As a result, this normalization method improves the efficiency of high-throughput next-generation sequencing by reducing noise and producing higher average reads per sample with more even sequencing depth. IMPORTANCE High-throughput next generation sequencing (NGS) has significantly contributed to the field of genomics; however, further improvements can maximize the potential of this important tool. Uneven sequencing of samples in a multiplexed run is a common issue that leads to unexpected extra costs or low-quality data. To mitigate this problem, we introduce a normalization method based on read counts rather than library concentration. This method allows for an even distribution of features of interest across samples, improving the statistical power of data sets and preventing the financial loss associated with resequencing libraries. This method optimizes NGS, which already has huge importance across many areas of biology.
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Affiliation(s)
- Caitriona Brennan
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Rodolfo A. Salido
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Charles Cowart
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Maria D. Tiu
- Division of Gastroenterology, University of California San Diego, La Jolla, California, USA
| | - Antonio González
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Caitlin Tribelhorn
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Amir Zarrinpar
- Division of Gastroenterology, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- VA San Diego Health Sciences, La Jolla, California, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
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7
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Wang Z, Peters BA, Bryant M, Hanna DB, Schwartz T, Wang T, Sollecito CC, Usyk M, Grassi E, Wiek F, Peter LS, Post WS, Landay AL, Hodis HN, Weber KM, French A, Golub ET, Lazar J, Gustafson D, Sharma A, Anastos K, Clish CB, Burk RD, Kaplan RC, Knight R, Qi Q. Gut microbiota, circulating inflammatory markers and metabolites, and carotid artery atherosclerosis in HIV infection. Microbiome 2023; 11:119. [PMID: 37237391 PMCID: PMC10224225 DOI: 10.1186/s40168-023-01566-2] [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: 11/02/2022] [Accepted: 05/05/2023] [Indexed: 05/28/2023]
Abstract
BACKGROUND Alterations in gut microbiota have been implicated in HIV infection and cardiovascular disease. However, how gut microbial alterations relate to host inflammation and metabolite profiles, and their relationships with atherosclerosis, have not been well-studied, especially in the context of HIV infection. Here, we examined associations of gut microbial species and functional components measured by shotgun metagenomics with carotid artery plaque assessed by B-mode carotid artery ultrasound in 320 women with or at high risk of HIV (65% HIV +) from the Women's Interagency HIV Study. We further integrated plaque-associated microbial features with serum proteomics (74 inflammatory markers measured by the proximity extension assay) and plasma metabolomics (378 metabolites measured by liquid chromatography tandem mass spectrometry) in relation to carotid artery plaque in up to 433 women. RESULTS Fusobacterium nucleatum, a potentially pathogenic bacteria, was positively associated with carotid artery plaque, while five microbial species (Roseburia hominis, Roseburia inulinivorans, Johnsonella ignava, Odoribacter splanchnicus, Clostridium saccharolyticum) were inversely associated with plaque. Results were consistent between women with and without HIV. Fusobacterium nucleatum was positively associated with several serum proteomic inflammatory markers (e.g., CXCL9), and the other plaque-related species were inversely associated with proteomic inflammatory markers (e.g., CX3CL1). These microbial-associated proteomic inflammatory markers were also positively associated with plaque. Associations between bacterial species (especially Fusobacterium nucleatum) and plaque were attenuated after further adjustment for proteomic inflammatory markers. Plaque-associated species were correlated with several plasma metabolites, including the microbial metabolite imidazole-propionate (ImP), which was positively associated with plaque and several pro-inflammatory markers. Further analysis identified additional bacterial species and bacterial hutH gene (encoding enzyme histidine ammonia-lyase in ImP production) associated with plasma ImP levels. A gut microbiota score based on these ImP-associated species was positively associated with plaque and several pro-inflammatory markers. CONCLUSION Among women living with or at risk of HIV, we identified several gut bacterial species and a microbial metabolite ImP associated with carotid artery atherosclerosis, which might be related to host immune activation and inflammation. Video Abstract.
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Affiliation(s)
- Zheng Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Brandilyn A Peters
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California, La Jolla, San Diego, CA, USA
| | - David B Hanna
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Tara Schwartz
- Department of Pediatrics, University of California, La Jolla, San Diego, CA, USA
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Mykhaylo Usyk
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Evan Grassi
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Fanua Wiek
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lauren St Peter
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Wendy S Post
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Alan L Landay
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Howard N Hodis
- Atherosclerosis Research Unit, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Audrey French
- Department of Internal Medicine, Stroger Hospital of Cook County, Chicago, IL, USA
| | - Elizabeth T Golub
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jason Lazar
- Department of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Deborah Gustafson
- Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Anjali Sharma
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kathryn Anastos
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Obstetrics & Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Obstetrics & Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Rob Knight
- Department of Pediatrics, University of California, La Jolla, San Diego, CA, USA
- Department of Bioengineering, University of California, La Jolla, San Diego, CA, USA
- Department of Computer Science and Engineering, University of California, La Jolla, San Diego, CA, USA
- Center for Microbiome Innovation, University of California, La Jolla, San Diego, CA, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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8
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Pendergraft MA, Belda-Ferre P, Petras D, Morris CK, Mitts BA, Aron AT, Bryant M, Schwartz T, Ackermann G, Humphrey G, Kaandorp E, Dorrestein PC, Knight R, Prather KA. Bacterial and Chemical Evidence of Coastal Water Pollution from the Tijuana River in Sea Spray Aerosol. Environ Sci Technol 2023; 57:4071-4081. [PMID: 36862087 PMCID: PMC10018732 DOI: 10.1021/acs.est.2c02312] [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] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 06/18/2023]
Abstract
Roughly half of the human population lives near the coast, and coastal water pollution (CWP) is widespread. Coastal waters along Tijuana, Mexico, and Imperial Beach (IB), USA, are frequently polluted by millions of gallons of untreated sewage and stormwater runoff. Entering coastal waters causes over 100 million global annual illnesses, but CWP has the potential to reach many more people on land via transfer in sea spray aerosol (SSA). Using 16S rRNA gene amplicon sequencing, we found sewage-associated bacteria in the polluted Tijuana River flowing into coastal waters and returning to land in marine aerosol. Tentative chemical identification from non-targeted tandem mass spectrometry identified anthropogenic compounds as chemical indicators of aerosolized CWP, but they were ubiquitous and present at highest concentrations in continental aerosol. Bacteria were better tracers of airborne CWP, and 40 tracer bacteria comprised up to 76% of the bacteria community in IB air. These findings confirm that CWP transfers in SSA and exposes many people along the coast. Climate change may exacerbate CWP with more extreme storms, and our findings call for minimizing CWP and investigating the health effects of airborne exposure.
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Affiliation(s)
- Matthew A. Pendergraft
- Scripps
Institution of Oceanography, University
of California San Diego, San Diego, La Jolla, California 92037, United States
| | - Pedro Belda-Ferre
- Department
of Pediatrics, University of California, San Diego, La Jolla, California 92093, United States
| | - Daniel Petras
- Scripps
Institution of Oceanography, University
of California San Diego, San Diego, La Jolla, California 92037, United States
- Collaborative
Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and
Pharmaceutical Science, University of California, San Diego, La Jolla, California 92093, United States
- CMFI
Cluster of Excellence, Interfaculty Institute of Microbiology and
Medicine, University of Tuebingen, Tuebingen 72076, Germany
| | - Clare K. Morris
- Scripps
Institution of Oceanography, University
of California San Diego, San Diego, La Jolla, California 92037, United States
- Department
of Chemistry and Biochemistry, University
of California, San Diego, La Jolla, California 92093, United States
| | - Brock A. Mitts
- Department
of Chemistry and Biochemistry, University
of California, San Diego, La Jolla, California 92093, United States
| | - Allegra T. Aron
- Collaborative
Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and
Pharmaceutical Science, University of California, San Diego, La Jolla, California 92093, United States
- Department
of Chemistry and Biochemistry, University
of Denver, Denver, Colorado 80210, United
States
| | - MacKenzie Bryant
- Department
of Pediatrics, University of California, San Diego, La Jolla, California 92093, United States
| | - Tara Schwartz
- Department
of Pediatrics, University of California, San Diego, La Jolla, California 92093, United States
| | - Gail Ackermann
- Department
of Pediatrics, University of California, San Diego, La Jolla, California 92093, United States
| | - Greg Humphrey
- Department
of Pediatrics, University of California, San Diego, La Jolla, California 92093, United States
| | - Ethan Kaandorp
- Independent
Researcher, Darwin, California 93522, United States
| | - Pieter C. Dorrestein
- Department
of Pediatrics, University of California, San Diego, La Jolla, California 92093, United States
- Collaborative
Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and
Pharmaceutical Science, University of California, San Diego, La Jolla, California 92093, United States
- Center
for Microbiome Innovation, University of
California, San Diego, La Jolla, California 92093, United States
| | - Rob Knight
- Department
of Pediatrics, University of California, San Diego, La Jolla, California 92093, United States
- Center
for Microbiome Innovation, University of
California, San Diego, La Jolla, California 92093, United States
- Department
of Bioengineering, University of California, San Diego, La Jolla, California 92093, United States
- Department
of Computer Sciences and Engineering, University
of California, San Diego, La Jolla, California 92093, United States
| | - Kimberly A. Prather
- Scripps
Institution of Oceanography, University
of California San Diego, San Diego, La Jolla, California 92037, United States
- Department
of Chemistry and Biochemistry, University
of California, San Diego, La Jolla, California 92093, United States
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9
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Kumar T, Bryant M, Cantrell K, Song SJ, McDonald D, Tubb HM, Farmer S, Lukacz ES, Brubaker L, Knight R. Effects of Variation in Urine Sample Storage Conditions on 16S Urogenital Microbiome Analyses. mSystems 2023; 8:e0102922. [PMID: 36475896 PMCID: PMC9948722 DOI: 10.1128/msystems.01029-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 10/24/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022] Open
Abstract
Replicability is a well-established challenge in microbiome research with a variety of contributing factors at all stages, from sample collection to code execution. Here, we focus on voided urine sample storage conditions for urogenital microbiome analysis. Using urine samples collected from 10 adult females, we investigated the microbiome preservation efficacy of AssayAssure Genelock (Genelock), compared with no preservative, under different temperature conditions. We varied temperature over 48 h in order to examine the impact of conditions samples may experience with home voided urine collection and shipping to a central biorepository. The following common lab and shipping conditions were investigated: -20°C, ambient temperature, 4°C, freeze-thaw cycle, and heat cycle. At 48 h, all samples were stored at -80°C until processing. After generating 16S rRNA gene amplicon sequencing data using the highly sensitive KatharoSeq protocol, we observed individual variation in both alpha and beta diversity metrics below interhuman differences, corroborating reports of individual microbiome variability in other specimen types. While there was no significant difference in beta diversity when comparing Genelock versus no preservative, we did observe a higher concordance with Genelock samples shipped at colder temperatures (-20°C and 4°C) when compared with the samples shipped at -20°C without preservative. Our results indicate that Genelock does not introduce a significant amount of microbial bias when used on a range of temperatures and is most effective at colder temperatures. IMPORTANCE The urogenital microbiome is an understudied yet important human microbiome niche. Research has been stimulated by the relatively recent discovery that urine is not sterile; urinary tract microbes have been linked to health problems, including urinary infections, incontinence, and cancer. The quality of life and economic impact of UTIs and urgency incontinence alone are enormous, with $3.5 billion and $82.6 billion, respectively, spent in the United States. annually. Given the low biomass of urine, novelty of the field, and limited reproducibility evidence, it is critical to study urine sample storage conditions to optimize scientific rigor. Efficient and reliable preservation methods inform methods for home self-sample collection and shipping, increasing the potential use in larger-scale studies. Here, we examined both buffer and temperature variation effects on 16S rRNA gene amplicon sequencing results from urogenital samples, providing data on the consequences of common storage methods on urogenital microbiome results.
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Affiliation(s)
- Tanya Kumar
- Medical Scientist Training Program, University of California San Diego, La Jolla, California, USA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Kalen Cantrell
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Se Jin Song
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Helena M. Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Emily S. Lukacz
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, California, USA
| | - Linda Brubaker
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, California, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
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10
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Gauglitz JM, West KA, Bittremieux W, Williams CL, Weldon KC, Panitchpakdi M, Di Ottavio F, Aceves CM, Brown E, Sikora NC, Jarmusch AK, Martino C, Tripathi A, Meehan MJ, Dorrestein K, Shaffer JP, Coras R, Vargas F, Goldasich LD, Schwartz T, Bryant M, Humphrey G, Johnson AJ, Spengler K, Belda-Ferre P, Diaz E, McDonald D, Zhu Q, Elijah EO, Wang M, Marotz C, Sprecher KE, Vargas-Robles D, Withrow D, Ackermann G, Herrera L, Bradford BJ, Marques LMM, Amaral JG, Silva RM, Veras FP, Cunha TM, Oliveira RDR, Louzada-Junior P, Mills RH, Piotrowski PK, Servetas SL, Da Silva SM, Jones CM, Lin NJ, Lippa KA, Jackson SA, Daouk RK, Galasko D, Dulai PS, Kalashnikova TI, Wittenberg C, Terkeltaub R, Doty MM, Kim JH, Rhee KE, Beauchamp-Walters J, Wright KP, Dominguez-Bello MG, Manary M, Oliveira MF, Boland BS, Lopes NP, Guma M, Swafford AD, Dutton RJ, Knight R, Dorrestein PC. Enhancing untargeted metabolomics using metadata-based source annotation. Nat Biotechnol 2022; 40:1774-1779. [PMID: 35798960 PMCID: PMC10277029 DOI: 10.1038/s41587-022-01368-1] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 05/20/2022] [Indexed: 01/30/2023]
Abstract
Human untargeted metabolomics studies annotate only ~10% of molecular features. We introduce reference-data-driven analysis to match metabolomics tandem mass spectrometry (MS/MS) data against metadata-annotated source data as a pseudo-MS/MS reference library. Applying this approach to food source data, we show that it increases MS/MS spectral usage 5.1-fold over conventional structural MS/MS library matches and allows empirical assessment of dietary patterns from untargeted data.
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Affiliation(s)
- Julia M Gauglitz
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kiana A West
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Wout Bittremieux
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Candace L Williams
- Beckman Center for Conservation Research, San Diego Zoo Wildlife Alliance, Escondido, CA, USA
| | - Kelly C Weldon
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Morgan Panitchpakdi
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Francesca Di Ottavio
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth Brown
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Nicole C Sikora
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Anupriya Tripathi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Michael J Meehan
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kathleen Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Roxana Coras
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Fernando Vargas
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | | | - Tara Schwartz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gregory Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Abigail J Johnson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Katharina Spengler
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Edgar Diaz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Qiyun Zhu
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Emmanuel O Elijah
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Mingxun Wang
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kate E Sprecher
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Daniela Vargas-Robles
- Servicio Autónomo Centro Amazónico de Investigación y Control de Enfermedades Tropicales Simón Bolívar, Puerto Ayacucho, Amazonas, Venezuela
| | - Dana Withrow
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Lourdes Herrera
- Department of Pediatrics, Billings Clinic, Billings, MT, USA
| | - Barry J Bradford
- Department of Animal Science, Michigan State University, East Lansing, MI, USA
| | - Lucas Maciel Mauriz Marques
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Juliano Geraldo Amaral
- Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil
| | - Rodrigo Moreira Silva
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Flavio Protasio Veras
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Thiago Mattar Cunha
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Rene Donizeti Ribeiro Oliveira
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Paulo Louzada-Junior
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Robert H Mills
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Paulina K Piotrowski
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Stephanie L Servetas
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Sandra M Da Silva
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Christina M Jones
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Nancy J Lin
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Katrice A Lippa
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Scott A Jackson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Rima Kaddurah Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Parambir S Dulai
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | | | - Curt Wittenberg
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Robert Terkeltaub
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
- San Diego VA Healthcare System, San Diego, CA, USA
| | - Megan M Doty
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Division of Neonatology, Department of Pediatrics, Kapi'olani Medical Center for Women and Children, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Jae H Kim
- Division of Neonatology, Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kyung E Rhee
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Julia Beauchamp-Walters
- Division of Pediatric Hospital Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Kenneth P Wright
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Maria Gloria Dominguez-Bello
- Department of Biochemistry and Microbiology, School of Environmental and Biological Sciences; Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Mark Manary
- Department of Pediatrics, Washington University, St. Louis, MO, USA
| | - Michelli F Oliveira
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brigid S Boland
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Norberto Peporine Lopes
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Monica Guma
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rachel J Dutton
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Medicine, 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 Bioengineering, University of California San Diego, La Jolla, CA, USA.
| | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA.
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA.
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11
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Cantú VJ, Salido RA, Huang S, Rahman G, Tsai R, Valentine H, Magallanes CG, Aigner S, Baer NA, Barber T, Belda-Ferre P, Betty M, Bryant M, Casas Maya M, Castro-Martínez A, Chacón M, Cheung W, Crescini ES, De Hoff P, Eisner E, Farmer S, Hakim A, Kohn L, Lastrella AL, Lawrence ES, Morgan SC, Ngo TT, Nouri A, Plascencia A, Ruiz CA, Sathe S, Seaver P, Shwartz T, Smoot EW, Ostrander RT, Valles T, Yeo GW, Laurent LC, Fielding-Miller R, Knight R. SARS-CoV-2 Distribution in Residential Housing Suggests Contact Deposition and Correlates with Rothia sp. mSystems 2022; 7:e0141121. [PMID: 35575492 PMCID: PMC9239251 DOI: 10.1128/msystems.01411-21] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/20/2022] [Indexed: 11/20/2022] Open
Abstract
Monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on surfaces is emerging as an important tool for identifying past exposure to individuals shedding viral RNA. Our past work demonstrated that SARS-CoV-2 reverse transcription-quantitative PCR (RT-qPCR) signals from surfaces can identify when infected individuals have touched surfaces and when they have been present in hospital rooms or schools. However, the sensitivity and specificity of surface sampling as a method for detecting the presence of a SARS-CoV-2 positive individual, as well as guidance about where to sample, has not been established. To address these questions and to test whether our past observations linking SARS-CoV-2 abundance to Rothia sp. in hospitals also hold in a residential setting, we performed a detailed spatial sampling of three isolation housing units, assessing each sample for SARS-CoV-2 abundance by RT-qPCR, linking the results to 16S rRNA gene amplicon sequences (to assess the bacterial community at each location), and to the Cq value of the contemporaneous clinical test. Our results showed that the highest SARS-CoV-2 load in this setting is on touched surfaces, such as light switches and faucets, but a detectable signal was present in many untouched surfaces (e.g., floors) that may be more relevant in settings, such as schools where mask-wearing is enforced. As in past studies, the bacterial community predicts which samples are positive for SARS-CoV-2, with Rothia sp. showing a positive association. IMPORTANCE Surface sampling for detecting SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is increasingly being used to locate infected individuals. We tested which indoor surfaces had high versus low viral loads by collecting 381 samples from three residential units where infected individuals resided, and interpreted the results in terms of whether SARS-CoV-2 was likely transmitted directly (e.g., touching a light switch) or indirectly (e.g., by droplets or aerosols settling). We found the highest loads where the subject touched the surface directly, although enough virus was detected on indirectly contacted surfaces to make such locations useful for sampling (e.g., in schools, where students did not touch the light switches and also wore masks such that they had no opportunity to touch their face and then the object). We also documented links between the bacteria present in a sample and the SARS-CoV-2 virus, consistent with earlier studies.
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Affiliation(s)
- Victor J Cantú
- Department of Bioengineering, University of California San Diegogrid.266100.3, La Jolla, CA, USA
| | - Rodolfo A Salido
- Department of Bioengineering, University of California San Diegogrid.266100.3, La Jolla, CA, USA
| | - Shi Huang
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Gibraan Rahman
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, USA
| | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Holly Valentine
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Celestine G Magallanes
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Maryann Betty
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Rady Children's Hospital, San Diego, CA, USA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Martín Casas Maya
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Anelizze Castro-Martínez
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Willi Cheung
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- San Diego State University, San Diego, CA, USA
| | - Evelyn S Crescini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Peter De Hoff
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Emily Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Laura Kohn
- Herbert Wertheim School of Public Health, University of California San Diegogrid.266100.3, La Jolla, CA, USA
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Sydney C Morgan
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Alhakam Nouri
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Christopher A Ruiz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tara Shwartz
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - R Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Thomas Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Gene W Yeo
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Louise C Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health, University of California San Diegogrid.266100.3, La Jolla, CA, USA
| | - Rob Knight
- Department of Bioengineering, University of California San Diegogrid.266100.3, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
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12
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Shaffer JP, Carpenter CS, Martino C, Salido RA, Minich JJ, Bryant M, Sanders K, Schwartz T, Humphrey G, Swafford AD, Knight R. A comparison of six DNA extraction protocols for 16S, ITS and shotgun metagenomic sequencing of microbial communities. Biotechniques 2022; 73:34-46. [PMID: 35713407 PMCID: PMC9361692 DOI: 10.2144/btn-2022-0032] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [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: 12/26/2022] Open
Abstract
Microbial communities contain a broad phylogenetic diversity of organisms; however, the majority of methods center on describing bacteria and archaea. Fungi are important symbionts in many ecosystems and are potentially important members of the human microbiome, beyond those that can cause disease. To expand our analysis of microbial communities to include data from the fungal internal transcribed spacer (ITS) region, five candidate DNA extraction kits were compared against our standardized protocol for describing bacteria and archaea using 16S rRNA gene amplicon- and shotgun metagenomics sequencing. The results are presented considering a diverse panel of host-associated and environmental sample types and comparing the cost, processing time, well-to-well contamination, DNA yield, limit of detection and microbial community composition among protocols. Across all criteria, the MagMAX Microbiome kit was found to perform best. The PowerSoil Pro kit performed comparably but with increased cost per sample and overall processing time. The Zymo MagBead, NucleoMag Food and Norgen Stool kits were included.
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Affiliation(s)
- Justin P Shaffer
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Carolina S Carpenter
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093, USA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA 92093, USA
| | - Cameron Martino
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA 92093, USA
- Bioinformatics & Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Rodolfo A Salido
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Jeremiah J Minich
- Marine Biology Research Division, University of California, San Diego, La Jolla, CA 92093, USA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Karenina Sanders
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Tara Schwartz
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Gregory Humphrey
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA 92093, USA
- InterOme, Inc. Carlsbad, CA 92008, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA 92093, USA
- Micronoma Inc. San Diego, CA 92121, USA
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
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13
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Mills RH, Dulai PS, Vázquez-Baeza Y, Sauceda C, Daniel N, Gerner RR, Batachari LE, Malfavon M, Zhu Q, Weldon K, Humphrey G, Carrillo-Terrazas M, Goldasich LD, Bryant M, Raffatellu M, Quinn RA, Gewirtz AT, Chassaing B, Chu H, Sandborn WJ, Dorrestein PC, Knight R, Gonzalez DJ. Multi-omics analyses of the ulcerative colitis gut microbiome link Bacteroides vulgatus proteases with disease severity. Nat Microbiol 2022; 7:262-276. [PMID: 35087228 PMCID: PMC8852248 DOI: 10.1038/s41564-021-01050-3] [Citation(s) in RCA: 91] [Impact Index Per Article: 45.5] [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: 09/15/2021] [Accepted: 12/15/2021] [Indexed: 12/19/2022]
Abstract
Ulcerative colitis (UC) is driven by disruptions in host-microbiota homoeostasis, but current treatments exclusively target host inflammatory pathways. To understand how host-microbiota interactions become disrupted in UC, we collected and analysed six faecal- or serum-based omic datasets (metaproteomic, metabolomic, metagenomic, metapeptidomic and amplicon sequencing profiles of faecal samples and proteomic profiles of serum samples) from 40 UC patients at a single inflammatory bowel disease centre, as well as various clinical, endoscopic and histologic measures of disease activity. A validation cohort of 210 samples (73 UC, 117 Crohn's disease, 20 healthy controls) was collected and analysed separately and independently. Data integration across both cohorts showed that a subset of the clinically active UC patients had an overabundance of proteases that originated from the bacterium Bacteroides vulgatus. To test whether B. vulgatus proteases contribute to UC disease activity, we first profiled B. vulgatus proteases found in patients and bacterial cultures. Use of a broad-spectrum protease inhibitor improved B. vulgatus-induced barrier dysfunction in vitro, and prevented colitis in B. vulgatus monocolonized, IL10-deficient mice. Furthermore, transplantation of faeces from UC patients with a high abundance of B. vulgatus proteases into germfree mice induced colitis dependent on protease activity. These results, stemming from a multi-omics approach, improve understanding of functional microbiota alterations that drive UC and provide a resource for identifying other pathways that could be inhibited as a strategy to treat this disease.
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Affiliation(s)
- Robert H Mills
- Department of Pharmacology, University of California, San Diego, CA, USA.,Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, USA.,Department of Pediatrics, University of California, San Diego, CA, USA
| | - Parambir S Dulai
- Division of Gastroenterology, University of California, San Diego, CA, USA
| | - Yoshiki Vázquez-Baeza
- Department of Pediatrics, University of California, San Diego, CA, USA.,Department of Computer Science and Engineering, University of California, San Diego, CA, USA.,Center for Microbiome Innovation, University of California, San Diego, CA, USA
| | - Consuelo Sauceda
- Department of Pharmacology, University of California, San Diego, CA, USA.,Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, USA
| | - Noëmie Daniel
- INSERM U1016, team Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France
| | - Romana R Gerner
- Department of Pediatrics, University of California, San Diego, CA, USA.,Division of Host-Microbe Systems and Therapeutics, University of California, San Diego, CA, USA
| | | | - Mario Malfavon
- Department of Pharmacology, University of California, San Diego, CA, USA
| | - Qiyun Zhu
- Department of Pediatrics, University of California, San Diego, CA, USA.,School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Kelly Weldon
- Center for Microbiome Innovation, University of California, San Diego, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Marvic Carrillo-Terrazas
- Department of Pharmacology, University of California, San Diego, CA, USA.,Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, USA.,Department of Pathology, University of California, San Diego, CA, USA
| | | | - MacKenzie Bryant
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Manuela Raffatellu
- Center for Microbiome Innovation, University of California, San Diego, CA, USA.,Division of Host-Microbe Systems and Therapeutics, University of California, San Diego, CA, USA
| | - Robert A Quinn
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA
| | - Andrew T Gewirtz
- Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA
| | - Benoit Chassaing
- INSERM U1016, team Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France
| | - Hiutung Chu
- Department of Pathology, University of California, San Diego, CA, USA
| | - William J Sandborn
- Division of Gastroenterology, University of California, San Diego, CA, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, USA.,Department of Pediatrics, University of California, San Diego, CA, USA.,Center for Microbiome Innovation, University of California, San Diego, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, CA, USA. .,Department of Computer Science and Engineering, University of California, San Diego, CA, USA. .,Center for Microbiome Innovation, University of California, San Diego, CA, USA.
| | - David J Gonzalez
- Department of Pharmacology, University of California, San Diego, CA, USA. .,Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, USA. .,Center for Microbiome Innovation, University of California, San Diego, CA, USA.
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14
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Cantú VJ, Salido RA, Huang S, Rahman G, Tsai R, Valentine H, Magallanes CG, Aigner S, Baer NA, Barber T, Belda-Ferre P, Betty M, Bryant M, Maya MC, Castro-Martínez A, Chacón M, Cheung W, Crescini ES, De Hoff P, Eisner E, Farmer S, Hakim A, Kohn L, Lastrella AL, Lawrence ES, Morgan SC, Ngo TT, Nouri A, Ostrander RT, Plascencia A, Ruiz CA, Sathe S, Seaver P, Shwartz T, Smoot EW, Valles T, Yeo GW, Laurent LC, Fielding-Miller R, Knight R. SARS-CoV-2 Distribution in Residential Housing Suggests Contact Deposition and Correlates with Rothia sp. medRxiv 2021. [PMID: 34909793 DOI: 10.1101/2021.03.16.21253743v1] [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] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
UNLABELLED Monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on surfaces is emerging as an important tool for identifying past exposure to individuals shedding viral RNA. Our past work has demonstrated that SARS-CoV-2 reverse transcription-quantitative PCR (RT-qPCR) signals from surfaces can identify when infected individuals have touched surfaces such as Halloween candy, and when they have been present in hospital rooms or schools. However, the sensitivity and specificity of surface sampling as a method for detecting the presence of a SARS-CoV-2 positive individual, as well as guidance about where to sample, has not been established. To address these questions, and to test whether our past observations linking SARS-CoV-2 abundance to Rothia spp. in hospitals also hold in a residential setting, we performed detailed spatial sampling of three isolation housing units, assessing each sample for SARS-CoV-2 abundance by RT-qPCR, linking the results to 16S rRNA gene amplicon sequences to assess the bacterial community at each location and to the Cq value of the contemporaneous clinical test. Our results show that the highest SARS-CoV-2 load in this setting is on touched surfaces such as light switches and faucets, but detectable signal is present in many non-touched surfaces that may be more relevant in settings such as schools where mask wearing is enforced. As in past studies, the bacterial community predicts which samples are positive for SARS-CoV-2, with Rothia sp. showing a positive association. IMPORTANCE Surface sampling for detecting SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is increasingly being used to locate infected individuals. We tested which indoor surfaces had high versus low viral loads by collecting 381 samples from three residential units where infected individuals resided, and interpreted the results in terms of whether SARS-CoV-2 was likely transmitted directly (e.g. touching a light switch) or indirectly (e.g. by droplets or aerosols settling). We found highest loads where the subject touched the surface directly, although enough virus was detected on indirectly contacted surfaces to make such locations useful for sampling (e.g. in schools, where students do not touch the light switches and also wear masks so they have no opportunity to touch their face and then the object). We also documented links between the bacteria present in a sample and the SARS-CoV-2 virus, consistent with earlier studies.
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Affiliation(s)
- Victor J Cantú
- These authors contributed equally.,Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Rodolfo A Salido
- These authors contributed equally.,Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Shi Huang
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Gibraan Rahman
- Department of Pediatrics, University of California San Diego, La Jolla, CA.,Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA
| | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Holly Valentine
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, USA.,Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Celestine G Magallanes
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, USA.,Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Stefan Aigner
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA.,Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA.,Dept of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Pedro Belda-Ferre
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Maryann Betty
- Department of Pediatrics, University of California San Diego, La Jolla, CA.,Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA.,Rady Children's Hospital, San Diego, CA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Martin Casas Maya
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Anelizze Castro-Martínez
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Willi Cheung
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA.,Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA.,San Diego State University, San Diego, CA
| | - Evelyn S Crescini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Peter De Hoff
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA.,Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, USA
| | - Emily Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Laura Kohn
- Herbert Wertheim School of Public Health, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Sydney C Morgan
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Alhakam Nouri
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - R Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Ashley Plascencia
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA.,Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA.,Dept of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Christopher A Ruiz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Shashank Sathe
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA.,Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA.,Dept of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Tara Shwartz
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Thomas Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Gene W Yeo
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA.,Dept of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Louise C Laurent
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093
| | - Rob Knight
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.,Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
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15
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Cantú VJ, Salido RA, Huang S, Rahman G, Tsai R, Valentine H, Magallanes CG, Aigner S, Baer NA, Barber T, Belda-Ferre P, Betty M, Bryant M, Maya MC, Castro-Martínez A, Chacón M, Cheung W, Crescini ES, De Hoff P, Eisner E, Farmer S, Hakim A, Kohn L, Lastrella AL, Lawrence ES, Morgan SC, Ngo TT, Nouri A, Ostrander RT, Plascencia A, Ruiz CA, Sathe S, Seaver P, Shwartz T, Smoot EW, Valles T, Yeo GW, Laurent LC, Fielding-Miller R, Knight R. SARS-CoV-2 Distribution in Residential Housing Suggests Contact Deposition and Correlates with Rothia sp. medRxiv 2021:2021.12.06.21267101. [PMID: 34909793 PMCID: PMC8669860 DOI: 10.1101/2021.12.06.21267101] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on surfaces is emerging as an important tool for identifying past exposure to individuals shedding viral RNA. Our past work has demonstrated that SARS-CoV-2 reverse transcription-quantitative PCR (RT-qPCR) signals from surfaces can identify when infected individuals have touched surfaces such as Halloween candy, and when they have been present in hospital rooms or schools. However, the sensitivity and specificity of surface sampling as a method for detecting the presence of a SARS-CoV-2 positive individual, as well as guidance about where to sample, has not been established. To address these questions, and to test whether our past observations linking SARS-CoV-2 abundance to Rothia spp. in hospitals also hold in a residential setting, we performed detailed spatial sampling of three isolation housing units, assessing each sample for SARS-CoV-2 abundance by RT-qPCR, linking the results to 16S rRNA gene amplicon sequences to assess the bacterial community at each location and to the Cq value of the contemporaneous clinical test. Our results show that the highest SARS-CoV-2 load in this setting is on touched surfaces such as light switches and faucets, but detectable signal is present in many non-touched surfaces that may be more relevant in settings such as schools where mask wearing is enforced. As in past studies, the bacterial community predicts which samples are positive for SARS-CoV-2, with Rothia sp. showing a positive association. IMPORTANCE Surface sampling for detecting SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is increasingly being used to locate infected individuals. We tested which indoor surfaces had high versus low viral loads by collecting 381 samples from three residential units where infected individuals resided, and interpreted the results in terms of whether SARS-CoV-2 was likely transmitted directly (e.g. touching a light switch) or indirectly (e.g. by droplets or aerosols settling). We found highest loads where the subject touched the surface directly, although enough virus was detected on indirectly contacted surfaces to make such locations useful for sampling (e.g. in schools, where students do not touch the light switches and also wear masks so they have no opportunity to touch their face and then the object). We also documented links between the bacteria present in a sample and the SARS-CoV-2 virus, consistent with earlier studies.
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Affiliation(s)
- Victor J Cantú
- These authors contributed equally
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Rodolfo A Salido
- These authors contributed equally
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Shi Huang
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Gibraan Rahman
- Department of Pediatrics, University of California San Diego, La Jolla, CA
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA
| | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Holly Valentine
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Celestine G Magallanes
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Stefan Aigner
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
- Dept of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Pedro Belda-Ferre
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Maryann Betty
- Department of Pediatrics, University of California San Diego, La Jolla, CA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
- Rady Children's Hospital, San Diego, CA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Martin Casas Maya
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Anelizze Castro-Martínez
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Willi Cheung
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
- San Diego State University, San Diego, CA
| | - Evelyn S Crescini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Peter De Hoff
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, USA
| | - Emily Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Laura Kohn
- Herbert Wertheim School of Public Health, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Sydney C Morgan
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Alhakam Nouri
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - R Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Ashley Plascencia
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
- Dept of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Christopher A Ruiz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Shashank Sathe
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
- Dept of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Tara Shwartz
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Thomas Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Gene W Yeo
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Dept of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Louise C Laurent
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093
| | - Rob Knight
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
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16
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Shaffer JP, Marotz C, Belda-Ferre P, Martino C, Wandro S, Estaki M, Salido RA, Carpenter CS, Zaramela LS, Minich JJ, Bryant M, Sanders K, Fraraccio S, Ackermann G, Humphrey G, Swafford AD, Miller-Montgomery S, Knight R. A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities. Biotechniques 2021; 70:149-159. [PMID: 33512248 PMCID: PMC7931620 DOI: 10.2144/btn-2020-0153] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 01/04/2021] [Indexed: 11/23/2022] Open
Abstract
One goal of microbial ecology researchers is to capture the maximum amount of information from all organisms in a sample. The recent COVID-19 pandemic, caused by the RNA virus SARS-CoV-2, has highlighted a gap in traditional DNA-based protocols, including the high-throughput methods the authors previously established as field standards. To enable simultaneous SARS-CoV-2 and microbial community profiling, the authors compared the relative performance of two total nucleic acid extraction protocols with the authors' previously benchmarked protocol. The authors included a diverse panel of environmental and host-associated sample types, including body sites commonly swabbed for COVID-19 testing. Here the authors present results comparing the cost, processing time, DNA and RNA yield, microbial community composition, limit of detection and well-to-well contamination between these protocols.
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Affiliation(s)
- Justin P Shaffer
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
- Bioinformatics & Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Stephen Wandro
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
- Micronoma Inc., San Diego, CA, USA
| | - Mehrbod Estaki
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Carolina S Carpenter
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - Livia S Zaramela
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Jeremiah J Minich
- Marine Biology Research Division, University of California, San Diego, La Jolla, CA, USA
| | - MacKenzie Bryant
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Karenina Sanders
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Serena Fraraccio
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
- Micronoma Inc., San Diego, CA, USA
| | - Gail Ackermann
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Gregory Humphrey
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - Sandrine Miller-Montgomery
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
- Micronoma Inc., San Diego, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA, USA
- Micronoma Inc., San Diego, CA, USA
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17
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Marotz C, Belda-Ferre P, Ali F, Das P, Huang S, Cantrell K, Jiang L, Martino C, Diner RE, Rahman G, McDonald D, Armstrong G, Kodera S, Donato S, Ecklu-Mensah G, Gottel N, Garcia MCS, Chiang LY, Salido RA, Shaffer JP, Bryant M, Sanders K, Humphrey G, Ackermann G, Haiminen N, Beck KL, Kim HC, Carrieri AP, Parida L, Vázquez-Baeza Y, Torriani FJ, Knight R, Gilbert JA, Sweeney DA, Allard SM. Microbial context predicts SARS-CoV-2 prevalence in patients and the hospital built environment. medRxiv 2020:2020.11.19.20234229. [PMID: 33236030 PMCID: PMC7685343 DOI: 10.1101/2020.11.19.20234229] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Synergistic effects of bacteria on viral stability and transmission are widely documented but remain unclear in the context of SARS-CoV-2. We collected 972 samples from hospitalized ICU patients with coronavirus disease 2019 (COVID-19), their health care providers, and hospital surfaces before, during, and after admission. We screened for SARS-CoV-2 using RT-qPCR, characterized microbial communities using 16S rRNA gene amplicon sequencing, and contextualized the massive microbial diversity in this dataset in a meta-analysis of over 20,000 samples. Sixteen percent of surfaces from COVID-19 patient rooms were positive, with the highest prevalence in floor samples next to patient beds (39%) and directly outside their rooms (29%). Although bed rail samples increasingly resembled the patient microbiome throughout their stay, SARS-CoV-2 was less frequently detected there (11%). Despite surface contamination in almost all patient rooms, no health care workers providing COVID-19 patient care contracted the disease. SARS-CoV-2 positive samples had higher bacterial phylogenetic diversity across human and surface samples, and higher biomass in floor samples. 16S microbial community profiles allowed for high classifier accuracy for SARS-CoV-2 status in not only nares, but also forehead, stool and floor samples. Across these distinct microbial profiles, a single amplicon sequence variant from the genus Rothia was highly predictive of SARS-CoV-2 across sample types, and had higher prevalence in positive surface and human samples, even when comparing to samples from patients in another intensive care unit prior to the COVID-19 pandemic. These results suggest that bacterial communities contribute to viral prevalence both in the host and hospital environment.
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Affiliation(s)
- Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Farhana Ali
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Promi Das
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Shi Huang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Kalen Cantrell
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Lingjing Jiang
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Division of Biostatistics, University of California, San Diego, La Jolla, California, USA
| | - Cameron Martino
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Rachel E Diner
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Gibraan Rahman
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - George Armstrong
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Sho Kodera
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Sonya Donato
- Microbiome Core, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Gertrude Ecklu-Mensah
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Neil Gottel
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Mariana C Salas Garcia
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Leslie Y Chiang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Rodolfo A Salido
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Karenina Sanders
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Greg Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Niina Haiminen
- IBM, T.J Watson Research Center, Yorktown Heights, New York, USA
| | - Kristen L Beck
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | - Ho-Cheol Kim
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | | | - Laxmi Parida
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Francesca J Torriani
- Infection Prevention and Clinical Epidemiology Unit at UC San Diego Health, Division of Infectious Diseases and Global Public Health, Department of Medicine, UC San Diego, San Diego CA, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Jack A Gilbert
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel A Sweeney
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of California San Diego, La Jolla, California, USA
| | - Sarah M Allard
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
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18
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Shaffer JP, Marotz C, Belda-Ferre P, Martino C, Wandro S, Estaki M, Salido RA, Carpenter CS, Zaramela LS, Minich JJ, Bryant M, Sanders K, Fraraccio S, Ackermann G, Humphrey G, Swafford AD, Miller-Montgomery S, Knight R. A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities. bioRxiv 2020:2020.11.13.370387. [PMID: 33200135 PMCID: PMC7668742 DOI: 10.1101/2020.11.13.370387] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
One goal among microbial ecology researchers is to capture the maximum amount of information from all organisms in a sample. The recent COVID-19 pandemic, caused by the RNA virus SARS-CoV-2, has highlighted a gap in traditional DNA-based protocols, including the high-throughput methods we previously established as field standards. To enable simultaneous SARS-CoV-2 and microbial community profiling, we compare the relative performance of two total nucleic acid extraction protocols and our previously benchmarked protocol. We included a diverse panel of environmental and host-associated sample types, including body sites commonly swabbed for COVID-19 testing. Here we present results comparing the cost, processing time, DNA and RNA yield, microbial community composition, limit of detection, and well-to-well contamination, between these protocols. Accession numbers Raw sequence data were deposited at the European Nucleotide Archive (accession#: ERP124610) and raw and processed data are available at Qiita (Study ID: 12201). All processing and analysis code is available on GitHub ( github.com/justinshaffer/Extraction_test_MagMAX ). Methods summary To allow for downstream applications involving RNA-based organisms such as SARS-CoV-2, we compared the two extraction protocols designed to extract DNA and RNA against our previously established protocol for extracting only DNA for microbial community analyses. Across 10 diverse sample types, one of the two protocols was equivalent or better than our established DNA-based protocol. Our conclusion is based on per-sample comparisons of DNA and RNA yield, the number of quality sequences generated, microbial community alpha- and beta-diversity and taxonomic composition, the limit of detection, and extent of well-to-well contamination.
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Taylor BC, Weldon KC, Ellis RJ, Franklin D, McDonald D, Humphrey G, Bryant M, Toronczak J, Schwartz T, Iudicello J, Heaton R, Grant I, Gianella S, Letendre S, Swafford A, Dorrestein PC, Knight R. Reduced Independence in Daily Living Is Associated with the Gut Microbiome in People with HIV and HCV. mSystems 2020; 5:e00528-20. [PMID: 33051377 PMCID: PMC7567581 DOI: 10.1128/msystems.00528-20] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 09/24/2020] [Indexed: 11/20/2022] Open
Abstract
Alterations in the gut microbiome are associated with neurocognition and related disorders, including in the context of human immunodeficiency virus (HIV) and hepatitis C virus (HCV) infection. However, the connection between the gut microbiome and cognitive decline, gauged by increased dependence in instrumental activities of daily living (IADL), remains largely unexplored in the context of these diseases. Here we characterized the gut microbiome using 16S rRNA amplicon sequencing and untargeted metabolomics with liquid chromatography-mass spectrometry from 347 people with HIV, HIV and HCV, or neither, all of whom underwent a comprehensive neuropsychiatric assessment. We observed that IADL-dependent and -independent HIV-monoinfected (HIV-positive [HIV+]/HCV-negative [HCV-]) and coinfected (HIV+/HCV+) individuals have distinct gut microbiomes. Moreover, we found that dependent individuals with HIV or HIV and HCV were enriched in Bacteroides These results may have implications for the characterization of cognitive decline, as well as the development of potential prevention and treatment strategies for individuals infected with HIV and/or HCV. Of particular interest is the possibility that dietary interventions that are known to modify the microbiome could be used to shift the microbiome toward more favorable states for preserving independence.IMPORTANCE The microbes in the gut and the chemicals they produce by metabolism have been linked to brain function. In earlier work, we showed that infection with two viruses, HIV and HCV, changed the gut microbes and metabolism in ways that were associated with a lifetime history of major depressive disorder. Here, we extend this analysis looking at a measurement of independence in daily living. We find that in individuals with HIV, whether or not they also have HCV, those who reported reduced independence were enriched in a genus of bacteria called Bacteroides This result is interesting because Bacteroides is strongly associated with diets low in carbohydrates and high in animal protein, suggesting that diet changes may help preserve independent living in people living long-term with HIV (although clinical intervention trials would be needed in order to confirm this).
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Affiliation(s)
- Bryn C Taylor
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California, USA
| | - Kelly C Weldon
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
| | - Ronald J Ellis
- Department of Neurosciences, HIV Neurobehavioral Research Center, University of California San Diego, La Jolla, California, USA
- Department of Psychiatry, HIV Neurobehavioral Research Center, University of California San Diego, La Jolla, California, USA
| | - Donald Franklin
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Gregory Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Julia Toronczak
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Tara Schwartz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Jennifer Iudicello
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Robert Heaton
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Igor Grant
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Sara Gianella
- Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, California, USA
| | - Scott Letendre
- Department of Medicine, University of California San Diego, La Jolla, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Austin Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
| | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
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Taylor BC, Weldon KC, Ellis RJ, Franklin D, Groth T, Gentry EC, Tripathi A, McDonald D, Humphrey G, Bryant M, Toronczak J, Schwartz T, Oliveira MF, Heaton R, Grant I, Gianella S, Letendre S, Swafford A, Dorrestein PC, Knight R. Depression in Individuals Coinfected with HIV and HCV Is Associated with Systematic Differences in the Gut Microbiome and Metabolome. mSystems 2020; 5:e00465-20. [PMID: 32994287 PMCID: PMC7527136 DOI: 10.1128/msystems.00465-20] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 05/21/2020] [Accepted: 09/09/2020] [Indexed: 12/14/2022] Open
Abstract
Depression is influenced by the structure, diversity, and composition of the gut microbiome. Although depression has been described previously in human immunodeficiency virus (HIV) and hepatitis C virus (HCV) monoinfections, and to a lesser extent in HIV-HCV coinfection, research on the interplay between depression and the gut microbiome in these disease states is limited. Here, we characterized the gut microbiome using 16S rRNA amplicon sequencing of fecal samples from 373 participants who underwent a comprehensive neuropsychiatric assessment and the gut metabolome on a subset of these participants using untargeted metabolomics with liquid chromatography-mass spectrometry. We observed that the gut microbiome and metabolome were distinct between HIV-positive and -negative individuals. HCV infection had a large association with the microbiome that was not confounded by drug use. Therefore, we classified the participants by HIV and HCV infection status (HIV-monoinfected, HIV-HCV coinfected, or uninfected). The three groups significantly differed in their gut microbiome (unweighted UniFrac distances) and metabolome (Bray-Curtis distances). Coinfected individuals also had lower alpha diversity. Within each of the three groups, we evaluated lifetime major depressive disorder (MDD) and current Beck Depression Inventory-II. We found that the gut microbiome differed between depression states only in coinfected individuals. Coinfected individuals with a lifetime history of MDD were enriched in primary and secondary bile acids, as well as taxa previously identified in people with MDD. Collectively, we observe persistent signatures associated with depression only in coinfected individuals, suggesting that HCV itself, or interactions between HCV and HIV, may drive HIV-related neuropsychiatric differences.IMPORTANCE The human gut microbiome influences depression. Differences between the microbiomes of HIV-infected and uninfected individuals have been described, but it is not known whether these are due to HIV itself, or to common HIV comorbidities such as HCV coinfection. Limited research has explored the influence of the microbiome on depression within these groups. Here, we characterized the microbial community and metabolome in the stools from 373 people, noting the presence of current or lifetime depression as well as their HIV and HCV infection status. Our findings provide additional evidence that individuals with HIV have different microbiomes which are further altered by HCV coinfection. In individuals coinfected with both HIV and HCV, we identified microbes and molecules that were associated with depression. These results suggest that the interplay of HIV and HCV and the gut microbiome may contribute to the HIV-associated neuropsychiatric problems.
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Affiliation(s)
- Bryn C Taylor
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California, USA
| | - Kelly C Weldon
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
| | - Ronald J Ellis
- Department of Neuroscience, HIV Neurobehavioral Research Center, University of California San Diego, La Jolla, California, USA
- Department of Psychiatry, HIV Neurobehavioral Research Center, University of California San Diego, La Jolla, California, USA
| | - Donald Franklin
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Tobin Groth
- Division of Biological Sciences, University of California San Diego, La Jolla, California, USA
| | - Emily C Gentry
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA
| | - Anupriya Tripathi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, California, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Gregory Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Julia Toronczak
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Tara Schwartz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Michelli F Oliveira
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Robert Heaton
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Igor Grant
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Sara Gianella
- Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, California, USA
| | - Scott Letendre
- Department of Medicine, University of California San Diego, La Jolla, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Austin Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
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Le Brocq S, Clare K, Bryant M, Roberts K, Tahrani AA. Obesity and COVID-19: a call for action from people living with obesity. Lancet Diabetes Endocrinol 2020; 8:652-654. [PMID: 32653052 PMCID: PMC7836765 DOI: 10.1016/s2213-8587(20)30236-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/21/2020] [Accepted: 06/25/2020] [Indexed: 12/14/2022]
Affiliation(s)
- S Le Brocq
- Obesity UK, University of Leeds, Leeds, UK
| | - K Clare
- Obesity UK, University of Leeds, Leeds, UK; Obesity Empowerment Network, University of Leeds, Leeds, UK
| | - M Bryant
- Association for the Study of Obesity, University of Leeds, Leeds, UK; Clinical Trials Research Unit, University of Leeds, Leeds, UK; Department of Health Sciences and the Hull York Medical School, University of York, York, UK
| | - K Roberts
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - A A Tahrani
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, UK.
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Pacheco D, Muetzel S, Lewis S, Dalley D, Bryant M, Waghorn GC. Rumen digesta and products of fermentation in cows fed varying proportions of fodder beet (Beta vulgaris) with fresh pasture or silage or straw. Anim Prod Sci 2020. [DOI: 10.1071/an18002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Context Fodder beet (FB) is a popular feed for dairy cows in temperate climates due to its high yields, high digestibility, low nitrogen (N) content in the dry matter (DM) and convenience of feeding (grazing in situ). However, the risk of ruminal acidosis requires research to design feeding regimes that capture these benefits without compromising animal health. Aims To understand aspects of rumen function when FB is offered in conditions representative of practical feeding in temperate pastoral systems. Methods Two indoor experiments were undertaken; one with cows in late lactation fed fresh perennial ryegrass with three proportions of FB (0, 0.23 and 0.45) and another with non-lactating cows fed pasture silage with 0.65 FB or barley straw with 0.86 FB. Measurements included rumen pH, short-chain fatty acid (SCFA) and ammonia concentrations determined at 2-h intervals, as well as daily individual cow intakes, estimates of microbial growth and rumen dynamics. Key results The inclusion of 0, 0.23 and 0.45 FB with fresh pasture in the did not affect daily DM intakes (~14.6 kg), milk yield (~10.7 kg), microbial synthesis (129 g of N/d) or fractional outflow rates of digesta (0.16/h; 11.2 L/h) of lactating cows. The non-lactating cow ration comprising 0.86 FB with straw was inappropriate and resulted in low intakes and insufficient dietary N. Microbial growth was approximately one-third of that in cows fed pasture silage with 0.65 FB. The ruminal pH reached lower values in all treatments where FB was offered. Rumen ammonia concentrations averaged 4.4 mmol/L in cows fed pasture but was sometimes undetectable in lactating cows fed 0.45 FB and in non-lactating cows. The amount of FB in the diet affected the extent of the circadian changes in molar proportions of SCFA. Conclusions Based on the results presented here, feeding fresh FB to dairy cows should not exceed ~0.4 of their DMI with pasture (late lactation), or ~0.6 of their intake with silage (non-lactating). Implications These findings could support evidence-based recommendations for FB use, considering its effects on aspects of rumen function, such as microbial protein synthesis and pH.
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Marco C, Bryant M, Landrum B, Drerup B, Weeman M, Petrosino M. 123 Refusal of Care in the Emergency Department Setting: Patient Perspectives. Ann Emerg Med 2019. [DOI: 10.1016/j.annemergmed.2019.08.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Bryant M, Dharni N, Dickerson J, Willan K, McEachan R, Duffy J, Howell M. Use of progression criteria to support monitoring and commissioning decision making of public health services: lessons from Better Start Bradford. BMC Public Health 2019; 19:835. [PMID: 31248396 PMCID: PMC6598271 DOI: 10.1186/s12889-019-7149-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [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: 10/23/2018] [Accepted: 06/10/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Commissioning and monitoring of community-based interventions is a challenge due to the complex nature of the environment and the lack of any explicit cut-offs to guide decision making. At what point, for example, is participant enrolment to interventions, course completion or satisfaction deemed to be acceptable or sufficient for continued funding? We aimed to identify and quantify key progression criteria for fourteen early years interventions by (1) agreeing the top three criteria for monitoring of successful implementation and progress; and (2) agreeing boundaries to categorise interventions as 'meeting anticipated target' (green); 'falling short of targets' (amber) and 'targets not being met' (red). METHODS We ran three workshops in partnership with the UK's Big Lottery Fund commissioned programme 'Better Start Bradford' (implementing more than 20 interventions to improve the health, wellbeing and development of children aged 0-3) to support decision making by agreeing progression criteria for the interventions being delivered. Workshops included 72 participants, representing a range of professional groups including intervention delivery teams, commissioners, intervention-monitoring teams, academics and community representatives. After discussion and activities, final decisions were submitted using electronic voting devices. All participants were invited to reconsider their responses via a post-workshop questionnaire. RESULTS Three key progression criteria were assigned to each of the 14 interventions. Overall, criteria that participants most commonly voted for were recruitment, implementation and reach, but these differed according to each intervention. Cut-off values used to indicate when an intervention moved to 'red' varied by criteria; the lowest being for recruitment, where participants agreed that meeting less than 65% of the targeted recruitment would be deemed as 'red' (falling short of target). CONCLUSIONS Our methodology for monitoring the progression of interventions has resulted in a clear pathway which will support commissioners and intervention teams in local decision making within the Better Start Bradford programme and beyond. This work can support others wishing to implement a formal system for monitoring the progression of public health interventions.
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Affiliation(s)
- M Bryant
- Clinical Trials Research Unit, University of Leeds, Leeds, LS29JT, UK.
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, UK.
| | - N Dharni
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, UK
| | - J Dickerson
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, UK
| | - K Willan
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, UK
| | - R McEachan
- Bradford Institute of Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, BD9 6RJ, UK
| | - J Duffy
- Bradford Trident Charity and Social Enterprise, Park Lane, Bradford, BD5 0LN, UK
| | - M Howell
- Bradford Trident Charity and Social Enterprise, Park Lane, Bradford, BD5 0LN, UK
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Waghorn GC, Law N, Bryant M, Pacheco D, Dalley D. Digestion and nitrogen excretion by Holstein–Friesian cows in late lactation offered ryegrass-based pasture supplemented with fodder beet. Anim Prod Sci 2019. [DOI: 10.1071/an18018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Recent changes in New Zealand dairying have included incorporation of fodder beet (FB) into rations. The present trial explored the impact of substituting different proportions of ryegrass-based pasture with FB for cows fed ad libitum in late lactation. The objective was to measure effects of FB on intake, digestion and urinary nitrogen (N) excretion using 16 Holstein–Friesian cows with a permanent rumen fistula. Before the 9-day indoor measurement period, cows were adapted to feeding 0%, 20%, 40% or 60% FB (bulbs and tops) with medium quality ryegrass-based pasture (191 g CP and 517 g neutral detergent fibre (aNDF)/kg DM; DM digestibility 0.634) over 2 weeks. However, it became apparent that a diet of 60% FB was detrimental to cow health, with two cows developing acidosis. The allocation of FB was reduced and the actual intakes were 23% and 45% of DM intake during the trial. Feeding FB substantially reduced N intake and urinary N excretion. The lower level (23%) of FB resulted in greater DM digestibility, albeit with a small reduction in N and aNDF digestibility. However, the higher level (45%) of FB reduced N and aNDF digestibility by 7.1 and 12.1 percentage units respectively, relative to pasture. Daily creatinine excretion was lower than published measurements from cattle fed dry diets, and circadian variation in urinary N:creatinine ratios suggests a need for caution when attempting to predict daily urinary N excretion from spot samples.
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Tuli R, Nissen N, Lo S, Osipov A, Bryant M, Tighiouart M, Hendifar A, Shiao S. DNA Repair Deficiency, Genomic Instability and Immune Profiling in a Phase 1 Study of Locally Advanced Pancreatic Cancer Patients Treated with Veliparib, Gemcitabine and Radiation Therapy. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.06.333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Cadena AM, Ma Y, Ding T, Bryant M, Maiello P, Geber A, Lin PL, Flynn JL, Ghedin E. Profiling the airway in the macaque model of tuberculosis reveals variable microbial dysbiosis and alteration of community structure. Microbiome 2018; 6:180. [PMID: 30301469 PMCID: PMC6178261 DOI: 10.1186/s40168-018-0560-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [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: 03/23/2018] [Accepted: 09/20/2018] [Indexed: 05/04/2023]
Abstract
BACKGROUND The specific interactions of Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB), and the lung microbiota in infection are entirely unexplored. Studies in cancer and other infectious diseases suggest that there are important exchanges occurring between host and microbiota that influence the immunological landscape. This can result in alterations in immune regulation and inflammation both locally and systemically. To assess whether Mtb infection modifies the lung microbiome, and identify changes in microbial abundance and diversity as a function of pulmonary inflammation, we compared infected and uninfected lung lobe washes collected serially from 26 macaques by bronchoalveolar lavage over the course of infection. RESULTS We found that Mtb induced an initial increase in lung microbial diversity at 1 month post infection that normalized by 5 months of infection across all macaques. Several core genera showed global shifts from baseline and throughout infection. Moreover, we identified several specific taxa normally associated with the oral microbiome that increased in relative abundance in the lung following Mtb infection, including SR1, Aggregatibacter, Leptotrichia, Prevotella, and Campylobacter. On an individual macaque level, we found significant heterogeneity in both the magnitude and duration of change within the lung microbial community that was unrelated to lung inflammation and lobe involvement as seen by positron emission tomography/computed tomography (PET/CT) imaging. By comparing microbial interaction networks pre- and post-infection using the predictive algorithm SPIEC-EASI, we observe that extra connections are gained by Actinomycetales, the order containing Mtb, in spite of an overall reduction in the number of interactions of the whole community post-infection, implicating Mtb-driven ecological reorganization within the lung. CONCLUSIONS This study is the first to probe the dynamic interplay between Mtb and host microbiota longitudinally and in the macaque lung. Our findings suggest that Mtb can alter the microbial landscape of infected lung lobes and that these interactions induce dysbiosis that can disrupt oral-airway boundaries, shift overall lung diversity, and modulate specific microbial relationships. We also provide evidence that this effect is heterogeneous across different macaques. Overall, however, the changes to the airway microbiota after Mtb infection were surprisingly modest, despite a range of Mtb-induced pulmonary inflammation in this cohort of macaques.
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Affiliation(s)
- Anthony M Cadena
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Present address: Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Yixuan Ma
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, USA
| | - Tao Ding
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, USA
| | - MacKenzie Bryant
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Present address: Department of Pediatrics, University of California, San Diego School of Medicine, La Jolla, California, USA
| | - Pauline Maiello
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Adam Geber
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, USA
| | - Philana Ling Lin
- Department of Pediatrics, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - JoAnne L Flynn
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Elodie Ghedin
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, USA.
- College of Global Public Health, New York University, New York, NY, USA.
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O'Shea C, Murphy CH, Loane D, Diettrich C, McTiernan E, Hyland E, Campbell M, Kinnarney G, Rowan T, Ferns M, Phelan P, Lee P, Bryant M, Glennon C. 10Weight Trends among Residents in HSE Residential Care Sites for Older Persons in CHO 8 (Midlands Area) – an Exploratory Study. Age Ageing 2018. [DOI: 10.1093/ageing/afy140.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- C O'Shea
- University College Dublin, Dublin, Ireland
| | - C H Murphy
- University College Dublin, Dublin, Ireland
| | - D Loane
- Community Nutrition & Dietetic Service, HSE CHO 8 (Midlands Area), Primary Care Centre, Mountmellick, Co. Laois, Ireland
| | - C Diettrich
- Community Nutrition & Dietetic Service, HSE CHO 8 (Midlands Area), St. Fintans Hospital, Portlaoise, Co. Laois, Ireland
| | - E McTiernan
- St. Joseph’s Care Centre, Dublin Road, Longford, Ireland
| | - E Hyland
- St. Joseph’s Care Centre, Dublin Road, Longford, Ireland
| | - M Campbell
- Cluain Lir Care Centre, Mullingar, Co. Westmeath, Ireland
| | - G Kinnarney
- Riada House Care Centre, Tullamore, Co. Offaly, Ireland
| | - T Rowan
- Ofalia House Care Centre, Edenderry, Co. Offaly, Ireland
| | - M Ferns
- St. Brigid’s Care Centre, Shaen, Co. Laois, Ireland
| | - P Phelan
- St. Vincent’s Care Centre, Mountmellick, Co. Laois, Ireland
| | - P Lee
- St. Vincent’s Care Centre, Athlone, Co. Westmeath, Ireland
| | - M Bryant
- Community Nursing Unit, Birr, Co. Offaly, Ireland
| | - C Glennon
- Community Nutrition & Dietetic Service, HSE CHO 8 (Midlands Area), Primary Care Unit, St. Loman’s Hospital, Mullingar, Co. Westmeath, Ireland
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Wright SE, Bryant M, Davey RJ, Cruz-Cabeza AJ. Is it usual to be unusual? An investigation into molecular conformations in organic crystals. Acta Crystallogr A Found Adv 2018. [DOI: 10.1107/s2053273318093518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Waghorn GC, Collier K, Bryant M, Dalley DE. Feeding fodder beet (Beta vulgaris L.) with either barley straw or pasture silage to non-lactating dairy cows. N Z Vet J 2018; 66:178-185. [DOI: 10.1080/00480169.2018.1465484] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- GC Waghorn
- DairyNZ, Cnr Ruakura and Morrinsville Roads, Hamilton 3240, New Zealand
- Current address: 6 Berkley Avenue, Hamilton, 3216, New Zealand
| | - K Collier
- DairyNZ, Cnr Ruakura and Morrinsville Roads, Hamilton 3240, New Zealand
| | - M Bryant
- DairyNZ, Cnr Ruakura and Morrinsville Roads, Hamilton 3240, New Zealand
| | - DE Dalley
- DairyNZ, PO Box 85066, Lincoln University, 7647, New Zealand
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Kelly B, Yang T, Truesdale K, Bryant M. 7.1-O7Discrepancy between measured and perceived weight in a multi-ethnic population in the UK: comparisons by ethnicity and migration. Eur J Public Health 2018. [DOI: 10.1093/eurpub/cky047.237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- B Kelly
- Bradford Institute for Health Research, United Kingdom
| | - T Yang
- Bradford Institute for Health Research, United Kingdom
| | - K Truesdale
- University of North Carolina Gillings School of Global Public Health, United States
| | - M Bryant
- University of Leeds, United Kingdom
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Yang TC, Sahota P, Pickett KE, Bryant M. Association of food security status with overweight and dietary intake: exploration of White British and Pakistani-origin families in the Born in Bradford cohort. Nutr J 2018; 17:48. [PMID: 29690871 PMCID: PMC5916586 DOI: 10.1186/s12937-018-0349-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [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: 11/29/2017] [Accepted: 03/22/2018] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Food insecurity has been associated with dietary intake and weight status in UK adults and children although results have been mixed and ethnicity has not been explored. We aimed to compare prevalence and trajectories of weight and dietary intakes among food secure and insecure White British and Pakistani-origin families. METHODS At 12 months postpartum, mothers in the Born in Bradford cohort completed a questionnaire on food security status and a food frequency questionnaire (FFQ) assessing their child's intake in the previous month; at 18 months postpartum, mothers completed a short-form FFQ assessing dietary intake in the previous 12 months. Weights and heights of mothers and infants were assessed at 12-, 24-, and 36-months postpartum, with an additional measurement of children taken at 4-5 years. Associations between food security status and dietary intakes were assessed using Wilcoxon-Mann-Whitney for continuous variables and χ2 or Fisher's exact tests for categorical variables. Quantile and logistic regression were used to determine dietary intakes adjusting for mother's age. Linear mixed effects models were used to assess longitudinal changes in body mass index (BMI) in mothers and BMI z-scores in children. RESULTS At 12 months postpartum, White British mothers reported more food insecurity than Pakistani-origin mothers (11% vs 7%; p < 0.01) and more food insecure mothers were overweight. Between 12 and 36 months postpartum, BMI increased more among food insecure Pakistani-origin mothers (β = 0.77 units, [95% Confidence Interval [CI]: 0.40, 1.10]) than food secure (β = 0.44 units, 95% CI: 0.33, 0.55). This was also found in Pakistani-origin children (BMI z-score: food insecure β = 0.40 units, 95% CI: 0.22, 0.59; food secure β = 0.25 units, 95% CI: 0.20, 0.29). No significant increases in BMI were observed for food secure or insecure White British mothers while BMI z-score increased by 0.17 (95% CI: 0.13, 0.21) for food secure White British children. Food insecure mothers and children had dietary intakes of poorer quality, with fewer vegetables and higher consumption of sugar-sweetened drinks. CONCLUSIONS Food security status is associated with body weight and dietary intakes differentially by ethnicity. These are important considerations for developing targeted interventions.
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Affiliation(s)
- T. C. Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, BD9 6RJ UK
| | - P. Sahota
- School of Clinical & Applied Sciences, Leeds Beckett University, Leeds, LS1 3HE UK
| | - K. E. Pickett
- Department of Health Sciences, University of York, York, YO10 5DD UK
| | - M. Bryant
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, LS2 9JT UK
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Judd A, Zangerle R, Touloumi G, Warszawski J, Meyer L, Dabis F, Mary Krause M, Ghosn J, Leport C, Wittkop L, Reiss P, Wit F, Prins M, Bucher H, Gibb D, Fätkenheuer G, Julia DA, Obel N, Thorne C, Mocroft A, Kirk O, Stephan C, Pérez-Hoyos S, Hamouda O, Bartmeyer B, Chkhartishvili N, Noguera-Julian A, Antinori A, d’Arminio Monforte A, Brockmeyer N, Prieto L, Rojo Conejo P, Soriano-Arandes A, Battegay M, Kouyos R, Mussini C, Tookey P, Casabona J, Miró JM, Castagna A, Konopnick D, Goetghebuer T, Sönnerborg A, Quiros-Roldan E, Sabin C, Teira R, Garrido M, Haerry D, de Wit S, Miró JM, Costagliola D, d’Arminio-Monforte A, Castagna A, del Amo J, Mocroft A, Raben D, Chêne G, Judd A, Pablo Rojo C, Barger D, Schwimmer C, Termote M, Wittkop L, Campbell M, Frederiksen CM, Friis-Møller N, Kjaer J, Raben D, Salbøl Brandt R, Berenguer J, Bohlius J, Bouteloup V, Bucher H, Cozzi-Lepri A, Dabis F, d’Arminio Monforte A, Davies MA, del Amo J, Dorrucci M, Dunn D, Egger M, Furrer H, Grabar S, Guiguet M, Judd A, Kirk O, Lambotte O, Leroy V, Lodi S, Matheron S, Meyer L, Miro JM, Mocroft A, Monge S, Nakagawa F, Paredes R, Phillips A, Puoti M, Rohner E, Schomaker M, Smit C, Sterne J, Thiebaut R, Thorne C, Torti C, van der Valk M, Wittkop L, Tanser F, Vinikoor M, Macete E, Wood R, Stinson K, Garone D, Fatti G, Giddy J, Malisita K, Eley B, Fritz C, Hobbins M, Kamenova K, Fox M, Prozesky H, Technau K, Sawry S, Benson CA, Bosch RJ, Kirk GD, Boswell S, Mayer KH, Grasso C, Hogg RS, Richard Harrigan P, Montaner JSG, Yip B, Zhu J, Salters K, Gabler K, Buchacz K, Brooks JT, Gebo KA, Moore RD, Moore RD, Rodriguez B, Horberg MA, Silverberg MJ, Thorne JE, Rabkin C, Margolick JB, Jacobson LP, D’Souza G, Klein MB, Rourke SB, Rachlis AR, Cupido P, Hunter-Mellado RF, Mayor AM, John Gill M, Deeks SG, Martin JN, Patel P, Brooks JT, Saag MS, Mugavero MJ, Willig J, Eron JJ, Napravnik S, Kitahata MM, Crane HM, Drozd DR, Sterling TR, Haas D, Rebeiro P, Turner M, Bebawy S, Rogers B, Justice AC, Dubrow R, Fiellin D, Gange SJ, Anastos K, Moore RD, Saag MS, Gange SJ, Kitahata MM, Althoff KN, Horberg MA, Klein MB, McKaig RG, Freeman AM, Moore RD, Freeman AM, Lent C, Kitahata MM, Van Rompaey SE, Crane HM, Drozd DR, Morton L, McReynolds J, Lober WB, Gange SJ, Althoff KN, Abraham AG, Lau B, Zhang J, Jing J, Modur S, Wong C, Hogan B, Desir F, Liu B, You B, Cahn P, Cesar C, Fink V, Sued O, Dell’Isola E, Perez H, Valiente J, Yamamoto C, Grinsztejn B, Veloso V, Luz P, de Boni R, Cardoso Wagner S, Friedman R, Moreira R, Pinto J, Ferreira F, Maia M, Célia de Menezes Succi R, Maria Machado D, de Fátima Barbosa Gouvêa A, Wolff M, Cortes C, Fernanda Rodriguez M, Allendes G, William Pape J, Rouzier V, Marcelin A, Perodin C, Tulio Luque M, Padgett D, Sierra Madero J, Crabtree Ramirez B, Belaunzaran P, Caro Vega Y, Gotuzzo E, Mejia F, Carriquiry G, McGowan CC, Shepherd BE, Sterling T, Jayathilake K, Person AK, Rebeiro PF, Giganti M, Castilho J, Duda SN, Maruri F, Vansell H, Ly PS, Khol V, Zhang FJ, Zhao HX, Han N, Lee MP, Li PCK, Lam W, Chan YT, Kumarasamy N, Saghayam S, Ezhilarasi C, Pujari S, Joshi K, Gaikwad S, Chitalikar A, Merati TP, Wirawan DN, Yuliana F, Yunihastuti E, Imran D, Widhani A, Tanuma J, Oka S, Nishijima T, Na S, Choi JY, Kim JM, Sim BLH, Gani YM, David R, Kamarulzaman A, Syed Omar SF, Ponnampalavanar S, Azwa I, Ditangco R, Uy E, Bantique R, Wong WW, Ku WW, Wu PC, Ng OT, Lim PL, Lee LS, Ohnmar PS, Avihingsanon A, Gatechompol S, Phanuphak P, Phadungphon C, Kiertiburanakul S, Sungkanuparph S, Chumla L, Sanmeema N, Chaiwarith R, Sirisanthana T, Kotarathititum W, Praparattanapan J, Kantipong P, Kambua P, Ratanasuwan W, Sriondee R, Nguyen KV, Bui HV, Nguyen DTH, Nguyen DT, Cuong DD, An NV, Luan NT, Sohn AH, Ross JL, Petersen B, Cooper DA, Law MG, Jiamsakul A, Boettiger DC, Ellis D, Bloch M, Agrawal S, Vincent T, Allen D, Smith D, Rankin A, Baker D, Templeton DJ, O’Connor CC, Thackeray O, Jackson E, McCallum K, Ryder N, Sweeney G, Cooper D, Carr A, Macrae K, Hesse K, Finlayson R, Gupta S, Langton-Lockton J, Shakeshaft J, Brown K, Idle S, Arvela N, Varma R, Lu H, Couldwell D, Eswarappa S, Smith DE, Furner V, Smith D, Cabrera G, Fernando S, Cogle A, Lawrence C, Mulhall B, Boyd M, Law M, Petoumenos K, Puhr R, Huang R, Han A, Gunathilake M, Payne R, O’Sullivan M, Croydon A, Russell D, Cashman C, Roberts C, Sowden D, Taing K, Marshall P, Orth D, Youds D, Rowling D, Latch N, Warzywoda E, Dickson B, Donohue W, Moore R, Edwards S, Boyd S, Roth NJ, Lau H, Read T, Silvers J, Zeng W, Hoy J, Watson K, Bryant M, Price S, Woolley I, Giles M, Korman T, Williams J, Nolan D, Allen A, Guelfi G, Mills G, Wharry C, Raymond N, Bargh K, Templeton D, Giles M, Brown K, Hoy J. Comparison of Kaposi Sarcoma Risk in Human Immunodeficiency Virus-Positive Adults Across 5 Continents: A Multiregional Multicohort Study. Clin Infect Dis 2017; 65:1316-1326. [PMID: 28531260 PMCID: PMC5850623 DOI: 10.1093/cid/cix480] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 05/19/2017] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND We compared Kaposi sarcoma (KS) risk in adults who started antiretroviral therapy (ART) across the Asia-Pacific, South Africa, Europe, Latin, and North America. METHODS We included cohort data of human immunodeficiency virus (HIV)-positive adults who started ART after 1995 within the framework of 2 large collaborations of observational HIV cohorts. We present incidence rates and adjusted hazard ratios (aHRs). RESULTS We included 208140 patients from 57 countries. Over a period of 1066572 person-years, 2046 KS cases were diagnosed. KS incidence rates per 100000 person-years were 52 in the Asia-Pacific and ranged between 180 and 280 in the other regions. KS risk was 5 times higher in South African women (aHR, 4.56; 95% confidence intervals [CI], 2.73-7.62) than in their European counterparts, and 2 times higher in South African men (2.21; 1.34-3.63). In Europe, Latin, and North America KS risk was 6 times higher in men who have sex with men (aHR, 5.95; 95% CI, 5.09-6.96) than in women. Comparing patients with current CD4 cell counts ≥700 cells/µL with those whose counts were <50 cells/µL, the KS risk was halved in South Africa (aHR, 0.53; 95% CI, .17-1.63) but reduced by ≥95% in other regions. CONCLUSIONS Despite important ART-related declines in KS incidence, men and women in South Africa and men who have sex with men remain at increased KS risk, likely due to high human herpesvirus 8 coinfection rates. Early ART initiation and maintenance of high CD4 cell counts are essential to further reducing KS incidence worldwide, but additional measures might be needed, especially in Southern Africa.
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Gitsioudis G, Kesselmann J, Missiou A, Atsiatorme E, Bryant M, Giannitsis E, Kauczor H, Katus H, Korosoglou G. P1071Unrecognized myocardial scar in areas of increased plaque burden in patients with suspected coronary artery disease. A clinical coronary CTA and CMR imaging study. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx502.p1071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Willis T, Roberts K, Berry T, Bryant M, Rudolf M. The impact of HENRY on parenting and family lifestyle: A national service evaluation of a preschool obesity prevention programme. Public Health 2016; 136:101-8. [DOI: 10.1016/j.puhe.2016.04.006] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Revised: 03/31/2016] [Accepted: 04/11/2016] [Indexed: 11/28/2022]
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Yang W, Fan Z, Deng Z, Pang J, Bi X, Fenchel M, Li D, Fraass B, Hakimian B, Reznik R, Bryant M, Sandler H, Tuli R. TH-EF-BRA-07: Evaluation of Internal Target Volume Derived From a Prototype 4D-MRI Sequence with 3D Radial Stack-Of-Stars Trajectory and K-Space Self-Gating. Med Phys 2016. [DOI: 10.1118/1.4958264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Pungsornruk K, Forbes MP, Hellier C, Bryant M. A renewed call for environmentally responsible anaesthesia. Anaesth Intensive Care 2015; 43:800-801. [PMID: 26603818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
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Tuli R, Nissen N, Lo S, Tighiouart M, Rogatko A, Osipov A, Bryant M, Sandler H, Hendifar A. Interim Analysis of a Phase I Study of Veliparib With Gemcitabine and IMRT in Patients With Borderline and Locally Advanced Unresectable Pancreatic Cancer. Int J Radiat Oncol Biol Phys 2015. [DOI: 10.1016/j.ijrobp.2015.07.1011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Sumkauskaite M, Bryant M, Kortes N, Stampfl U, Radeleff B. [Drug therapy in interventional radiology]. Radiologe 2015; 55:501-9; quiz 510. [PMID: 26063076 DOI: 10.1007/s00117-015-2808-x] [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: 10/23/2022]
Abstract
In the context of pre-interventional drug therapy, a premedication is given to patients who are known to have an allergy to contrast media, have renal impairment or hyperthyroidism. An already existing anticoagulation therapy, in anticipation of the planned intervention, must be reviewed and changed or even suspended as required. For peri-interventional drug therapy it is important to consider how strenuous the procedure will be as well as the general condition of the patient. Further discussion with anesthetists may be required for the planning of pain therapy or sedation during the procedure. These factors help to ensure maximum patient comfort as well as the success of the intervention. Post-interventional anticoagulation therapy, usually started peri-interventionally, plays an important role in minimizing the risk of acute thrombosis as well as in maintaining long-term functioning of the implanted material. The form of the anticoagulation therapy is set according to the type of intervention.
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Affiliation(s)
- M Sumkauskaite
- Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Deutschland,
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Bryant M, Santorelli G, Fairley L, Petherick ES, Bhopal R, Lawlor DA, Tilling K, Howe LD, Farrar D, Cameron N, Mohammed M, Wright J. Agreement between routine and research measurement of infant height and weight. Arch Dis Child 2015; 100:24-9. [PMID: 25266076 PMCID: PMC4283671 DOI: 10.1136/archdischild-2014-305970] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [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: 11/16/2022]
Abstract
UNLABELLED In many countries, routine data relating to growth of infants are collected as a means of tracking health and illness up to school age. These have potential to be used in research. For health monitoring and research, data should be accurate and reliable. This study aimed to determine the agreement between length/height and weight measurements from routine infant records and researcher-collected data. METHODS Height/length and weight at ages 6, 12 and 24 months from the longitudinal UK birth cohort (born in Bradford; n=836-1280) were compared with routine data collected by health visitors within 2 months of the research data (n=104-573 for different comparisons). Data were age adjusted and compared using Bland Altman plots. RESULTS There was agreement between data sources, albeit weaker for height than for weight. Routine data tended to underestimate length/height at 6 months (0.5 cm (95% CI -4.0 to 4.9)) and overestimate it at 12 (-0.3 cm (95% CI -0.5 to 4.0)) and 24 months (0.3 cm (95% CI -4.0 to 3.4)). Routine data slightly overestimated weight at all three ages (range -0.04 kg (95% CI -1.2 to 0.9) to -0.04 (95% CI -0.7 to 0.6)). Limits of agreement were wide, particularly for height. Differences were generally random, although routine data tended to underestimate length in taller infants and underestimate weight in lighter infants. CONCLUSIONS Routine data can provide an accurate and feasible method of data collection for research, though wide limits of agreement between data sources may be observed. Differences could be due to methodological issues; but may relate to variability in clinical practice. Continued provision of appropriate training and assessment is essential for health professionals responsible for collecting routine data.
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Affiliation(s)
- M Bryant
- Clinical Trials Research Unit, University of Leeds, Leeds, UK,Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK
| | - G Santorelli
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK
| | - L Fairley
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK
| | - E S Petherick
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK
| | - R Bhopal
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - D A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK,School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - K Tilling
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK,School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - L D Howe
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK,School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - D Farrar
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK
| | - N Cameron
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - M Mohammed
- School of Health Studies, University of Bradford, Bradford, UK
| | - J Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK
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Bryant M, Farrar R, Freeman R, Brummitt K, Nolan J, Neville A. Galvanically enhanced fretting-crevice corrosion of cemented femoral stems. J Mech Behav Biomed Mater 2014; 40:275-286. [DOI: 10.1016/j.jmbbm.2014.08.021] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2014] [Revised: 08/14/2014] [Accepted: 08/22/2014] [Indexed: 12/14/2022]
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Bryant M, Ashton L, Nixon J, Jebb S, Wright J, Roberts K, Brown J. Framework of outcome measures recommended for use in the evaluation of childhood obesity treatment interventions: the CoOR framework. Pediatr Obes 2014; 9:e116-31. [PMID: 24729517 DOI: 10.1111/j.2047-6310.2014.220.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [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: 09/26/2013] [Accepted: 12/03/2013] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Consensus is lacking in determining appropriate outcome measures for assessment of childhood obesity treatments. Inconsistency in the use and reporting of such measures impedes comparisons between treatments and limits consideration of effectiveness. This study aimed to produce a framework of recommended outcome measures: the Childhood obesity treatment evaluation Outcomes Review (CoOR) framework. METHODS A systematic review including two searches was conducted to identify (1) existing trial outcome measures and (2) manuscripts describing development/evaluation of outcome measures. Outcomes included anthropometry, diet, eating behaviours, physical activity, sedentary time/behaviour, fitness, physiology, environment, psychological well-being and health-related quality of life. Eligible measures were appraised by the internal team using a system developed from international guidelines, followed by appraisal from national external expert collaborators. RESULTS A total of 25,486 papers were identified through both searches. Eligible search 1 trial papers cited 417 additional papers linked to outcome measures, of which 56 were eligible. A further 297 outcome development/evaluation papers met eligibility criteria from search 2. Combined, these described 191 outcome measures. After internal and external appraisal, 52 measures across 10 outcomes were recommended for inclusion in the CoOR framework. CONCLUSION Application of the CoOR framework will ensure greater consistency in choosing robust outcome measures that are appropriate to population characteristics.
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Affiliation(s)
- M Bryant
- Clinical Trials Research Unit, University of Leeds, Leeds, UK
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Bhatia A, Demare E, Bryant M. Funding the “organization” in civil society organization: Measuring
organizational capacity in India and Ethiopia. Ann Glob Health 2014. [DOI: 10.1016/j.aogh.2014.08.194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Bryant M, Santorelli G, Lawlor DA, Farrar D, Tuffnell D, Bhopal R, Wright J. A comparison of South Asian specific and established BMI thresholds for determining obesity prevalence in pregnancy and predicting pregnancy complications: findings from the Born in Bradford cohort. Int J Obes (Lond) 2014; 38:444-50. [PMID: 23797188 PMCID: PMC3791414 DOI: 10.1038/ijo.2013.117] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [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: 01/25/2013] [Revised: 05/22/2013] [Accepted: 06/14/2013] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To describe how maternal obesity prevalence varies by established international and South Asian specific body mass index (BMI) cut-offs in women of Pakistani origin and investigate whether different BMI thresholds can help to identify women at risk of adverse pregnancy and birth outcomes. DESIGN Prospective bi-ethnic birth cohort study (the Born in Bradford (BiB) cohort). SETTING Bradford, a deprived city in the North of the UK. PARTICIPANTS A total of 8478 South Asian and White British pregnant women participated in the BiB cohort study. MAIN OUTCOME MEASURES Maternal obesity prevalence; prevalence of known obesity-related adverse pregnancy outcomes: mode of birth, hypertensive disorders of pregnancy (HDP), gestational diabetes, macrosomia and pre-term births. RESULTS Application of South Asian BMI cut-offs increased prevalence of obesity in Pakistani women from 18.8 (95% confidence interval (CI) 17.6-19.9) to 30.9% (95% CI 29.5-32.2). With the exception of pre-term births, there was a positive linear relationship between BMI and prevalence of adverse pregnancy and birth outcomes, across almost the whole BMI distribution. Risk of gestational diabetes and HDP increased more sharply in Pakistani women after a BMI threshold of at least 30 kg m(-2), but there was no evidence of a sharp increase in any risk factors at the new, lower thresholds suggested for use in South Asian women. BMI was a good single predictor of outcomes (area under the receiver operating curve: 0.596-0.685 for different outcomes); prediction was more discriminatory and accurate with BMI as a continuous variable than as a binary variable for any possible cut-off point. CONCLUSION Applying the new South Asian threshold to pregnant women would markedly increase those who were referred for monitoring and lifestyle advice. However, our results suggest that lowering the BMI threshold in South Asian women would not improve the predictive ability for identifying those who were at risk of adverse pregnancy outcomes.
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Affiliation(s)
- M Bryant
- 1] Clinical Trials Research Unit, University of Leeds, Leeds, UK [2] Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - G Santorelli
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - D A Lawlor
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - D Farrar
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - D Tuffnell
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - R Bhopal
- Edinburgh Ethnicity and Health Research Group, Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
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Bie L, Ju Y, Jin Z, Donovan L, Birks S, Grunewald L, Zmuda F, Pilkington G, Kaul A, Chen YH, Dahiya S, Emnett R, Gianino S, Gutmann D, Poschl J, Bianchi E, Bockstaller M, Neumann P, Schuller U, Gevorgian A, Morozova E, Kazantsev I, Iukhta T, Safonova S, Punanov Y, Zheludkova O, Afanasyev B, Buss M, Remke M, Gandhi K, Kool M, Northcott P, Pfister S, Taylor M, Castellino R, Thompson J, Margraf L, Donahue D, Head H, Murray J, Burger P, Wortham M, Reitman Z, He Y, Bigner D, Yan H, Lee C, Triscott J, Foster C, Manoranjan B, Pambid MR, Fotovati A, Berns R, Venugopal C, O'Halloran K, Narendran A, Northcott P, Taylor MD, Singh SK, Singhal A, Rassekh R, Maxwell CA, Dunham C, Dunn SE, Pambid MR, Berns R, Hu K, Adomat H, Moniri M, Chin MY, Hessein M, Zisman N, Maurer N, Dunham C, Guns E, Dunn S, Koks C, De Vleeschouwer S, Graf N, Van Gool S, D'Asti E, Huang A, Korshunov A, Pfister S, Rak J, Gump W, Moriarty T, Gump W, Skjei K, Karkare S, Castelo-Branco P, Choufani S, Mack S, Gallagher D, Zhang C, Merino D, Wasserman J, Kool M, Jones DT, Croul S, Kreitzer F, Largaespada D, Conklin B, Taylor M, Weiss W, Garzia L, Morrissy S, Zayne K, Wu X, Dirks P, Hawkins C, Dick J, Stein L, Collier L, Largaespada D, Dupuy A, Taylor M, Rampazzo G, Moraes L, Paniago M, Oliveira I, Hitzler J, Silva N, Cappellano A, Cavalheiro S, Alves MT, Cerutti J, Toledo S, Liu Z, Zhao X, Mao H, Baxter P, Wang JCY, Huang Y, Yu L, Su J, Adekunle A, Perlaky L, Hurwitz M, Hurwitz R, Lau C, Chintagumpala M, Blaney S, Baruchel S, Li XN, Zhang J, Hariono S, Hashizume R, Fan Q, James CD, Weiss WA, Nicolaides T, Madsen PJ, Slaunwhite ES, Dirks PB, Ma JF, Henn RE, Hanno AG, Boucher KL, Storm PB, Resnick AC, Lourdusamy A, Rogers H, Ward J, Rahman R, Malkin D, Gilbertson R, Grundy R, Lourdusamy A, Rogers H, Ward J, Rahman R, Gilbertson R, Grundy R, Karajannis M, Fisher M, Pfister S, Milla S, Cohen K, Legault G, Wisoff J, Harter D, Merkelson A, Bloom M, Dhall G, Jones D, Korshunov A, Taylor MD, Pfister S, Eberhart C, Sievert A, Resnick A, Zagzag D, Allen J, Hankinson T, Gump J, Serrano-Almeida C, Torok M, Weksberg R, Handler M, Liu A, Foreman N, Garancher A, Rocques N, Miquel C, Sainte-Rose C, Delattre O, Bourdeaut F, Eychene A, Tabori U, Pouponnot C, Danielpour M, Levy R, Antonuk CD, Rodriguez J, Aravena JM, Kim GB, Gate D, Bannykh S, Svendsen C, Huang X, Town T, Breunig J, Amakye D, Robinson D, Rose K, Cho YJ, Ligon KL, Sharp T, Ando Y, Geoerger B, He Y, Doz F, Ashley D, Hargrave D, Casanova M, Tawbi H, Heath J, Bouffet E, Brandes AA, Chisholm J, Rodon J, Dubuc AM, Thomas A, Mita A, MacDonald T, Kieran M, Eisenstat D, Song X, Danielpour M, Levy R, Antonuk CD, Rodriguez J, Hashizume R, Aravena JM, Kim GB, Gate D, Bannykh S, Svendsen C, Town T, Breunig J, Morrissy AS, Mayoh C, Lo A, Zhang W, Thiessen N, Tse K, Moore R, Mungall A, Wu X, Van Meter TE, Cho YJ, Collins VP, MacDonald TJ, Li XN, Stehbens S, Fernandez-Lopez A, Malkin D, Marra MA, Taylor MD, Karajannis M, Legault G, Hagiwara M, Vega E, Merkelson A, Wisoff J, Younger S, Golfinos J, Roland JT, Allen J, Antonuk CD, Levy R, Kim GB, Town T, Danielpour M, Breunig J, Pak E, Barshow S, Zhao X, Ponomaryov T, Segal R, Levy R, Antonuk CD, Aravena JM, Kim GB, Svendsen C, Town T, Danielpour M, Zhu S, Breunig J, Chi S, Cohen K, Fisher M, Biegel J, Bowers D, Fangusaro J, Manley P, Janss A, Zimmerman MA, Wu X, Kieran M, Sayour E, Pham C, Sanchez-Perez L, Snyder D, Flores C, Kemeny H, Xie W, Cui X, Bigner D, Taylor MD, Sampson J, Mitchell D, Bandopadhayay P, Nguyen B, Masoud S, Vue N, Gholamin S, Yu F, Schubert S, Bergthold G, Weiss WA, Mitra S, Qi J, Bradner J, Kieran M, Beroukhim R, Cho YJ, Reddick W, Glass J, Ji Q, Paulus E, James CD, Gajjar A, Ogg R, Vanner R, Remke M, Aviv T, Lee L, Zhu X, Clarke I, Taylor M, Dirks P, Shuman MA, Hamilton R, Pollack I, Calligaris D, Liu X, Feldman D, Thompson C, Ide J, Buhrlage S, Gray N, Kieran M, Jan YN, Stiles C, Agar N, Remke M, Cavalli FMG, Northcott PA, Kool M, Pfister SM, Taylor MD, Project MAGIC, Rakopoulos P, Jan LY, Pajovic S, Buczkowicz P, Morrison A, Bouffet E, Bartels U, Becher O, Hawkins C, Truffaux N, Puget S, Philippe C, Gump W, Castel D, Taylor K, Mackay A, Le Dret L, Saulnier P, Calmon R, Boddaert N, Blauwblomme T, Sainte-Rose C, Jones C, Mutchnick I, Grill J, Liu X, Ebling M, Ide J, Wang L, Davis E, Marchionni M, Stuart D, Alberta J, Kieran M, Li KKW, Stiles C, Agar N, Remke M, Cavalli FMG, Northcott PA, Kool M, Pfister SM, Taylor MD, Project MAGIC, Tien AC, Pang JCS, Griveau A, Rowitch D, Ramkissoon L, Horowitz P, Craig J, Ramkissoon S, Rich B, Bergthold G, Tabori U, Taha H, Ng HK, Bowers D, Hawkins C, Packer R, Eberhart C, Goumnerova L, Chan J, Santagata S, Pomeroy S, Ligon A, Kieran M, Jackson S, Beroukhim R, Ligon K, Kuan CT, Chandramohan V, Keir S, Pastan I, Bigner D, Zhou Z, Ho S, Voss H, Patay Z, Souweidane M, Salloum R, DeWire M, Fouladi M, Goldman S, Chow L, Hummel T, Dorris K, Miles L, Sutton M, Howarth R, Stevenson C, Leach J, Griesinger A, Donson A, Hoffman L, Birks D, Amani V, Handler M, Foreman N, Sangar MC, Pai A, Pedro K, Ditzler SH, Girard E, Olson J, Gustafson WC, Meyerowitz J, Nekritz E, Charron E, Matthay K, Hertz N, Onar-Thomas A, Shokat K, Weiss W, Hanaford A, Raabe E, Eberhart C, Griesinger A, Donson A, Hoffman L, Amani V, Birks D, Gajjar A, Handler M, Mulcahy-Levy J, Foreman N, Olow AK, Dasgupta T, Yang X, Mueller S, Hashizume R, Kolkowitz I, Weiss W, Broniscer A, Resnick AC, Sievert AJ, Nicolaides T, Prados MD, Berger MS, Gupta N, James CD, Haas-Kogan DA, Flores C, Pham C, Dietl SM, Snyder D, Sanchez-Perez L, Bigner D, Sampson J, Mitchell D, Prakash V, Batanian J, Guzman M, Geller T, Pham CD, Wolfl M, Pei Y, Flores C, Snyder D, Bigner DD, Sampson JH, Wechsler-Reya RJ, Mitchell DA, Van Ommeren R, Venugopal C, Manoranjan B, Beilhack A, McFarlane N, Hallett R, Hassell J, Dunn S, Singh S, Dasgupta T, Olow A, Yang X, Hashizume R, Mueller S, Riedel S, Nicolaides T, Kolkowitz I, Weiss W, Prados M, Gupta N, James CD, Haas-Kogan D, Zhao H, Li L, Picotte K, Monoranu C, Stewart R, Modzelewska K, Boer E, Picard D, Huang A, Radiloff D, Lee C, Dunn S, Hutt M, Nazarian J, Dietl S, Price A, Lim KJ, Warren K, Chang H, Eberhart CG, Raabe EH, Persson A, Huang M, Chandler-Militello D, Li N, Vince GH, Berger M, James D, Goldman S, Weiss W, Lindquist R, Tate M, Rowitch D, Alvarez-Buylla A, Hoffman L, Donson A, Eyrich M, Birks D, Griesinger A, Amani V, Handler M, Foreman N, Meijer L, Walker D, Grundy R, O'Dowd S, Jaspan T, Schlegel PG, Dineen R, Fotovati A, Radiloff D, Coute N, Triscott J, Chen J, Yip S, Louis D, Toyota B, Hukin J, Weitzel D, Rassekh SR, Singhal A, Dunham C, Dunn S, Ahsan S, Hanaford A, Taylor I, Eberhart C, Raabe E, Sun YG, Ashcraft K, Stiles C, Han L, Zhang K, Chen L, Shi Z, Pu P, Dong L, Kang C, Cordero F, Lewis P, Liu C, Hoeman C, Schroeder K, Allis CD, Becher O, Gururangan S, Grant G, Driscoll T, Archer G, Herndon J, Friedman H, Li W, Kurtzberg J, Bigner D, Sampson J, Mitchell D, Yadavilli S, Kambhampati M, Becher O, MacDonald T, Bellamkonds R, Packer R, Buckley A, Nazarian J, DeWire M, Fouladi M, Stewart C, Wetmore C, Hawkins C, Jacobs C, Yuan Y, Goldman S, Fisher P, Rodriguez R, Rytting M, Bouffet E, Khakoo Y, Hwang E, Foreman N, Gilbert M, Gilbertson R, Gajjar A, Saratsis A, Yadavilli S, Wetzel W, Snyder K, Kambhampati M, Hall J, Raabe E, Warren K, Packer R, Nazarian J, Thompson J, Griesinger A, Foreman N, Spazojevic I, Rush S, Levy JM, Hutt M, Karajannis MA, Shah S, Eberhart CG, Raabe E, Rodriguez FJ, Gump J, Donson A, Tovmasyan A, Birks D, Handler M, Foreman N, Hankinson T, Torchia J, Khuong-Quang DA, Ho KC, Picard D, Letourneau L, Chan T, Peters K, Golbourn B, Morrissy S, Birks D, Faria C, Foreman N, Taylor M, Rutka J, Pfister S, Bouffet E, Hawkins C, Batinic-Haberle I, Majewski J, Kim SK, Jabado N, Huang A, Ladner T, Tomycz L, Watchmaker J, Yang T, Kaufman L, Pearson M, Dewhirst M, Ogg RJ, Scoggins MA, Zou P, Taherbhoy S, Jones MM, Li Y, Glass JO, Merchant TE, Reddick WE, Conklin HM, Gholamin S, Gajjar A, Khan A, Kumar A, Tye GW, Broaddus WC, Van Meter TE, Shih DJH, Northcott PA, Remke M, Korshunov A, Mitra S, Jones DTW, Kool M, Pfister SM, Taylor MD, Mille F, Levesque M, Remke M, Korshunov A, Izzi L, Kool M, Richard C, Northcott PA, Taylor MD, Pfister SM, Charron F, Yu F, Masoud S, Nguyen B, Vue N, Schubert S, Tolliday N, Kong DS, Sengupta S, Weeraratne D, Schreiber S, Cho YJ, Birks D, Jones K, Griesinger A, Amani V, Handler M, Vibhakar R, Achrol A, Foreman N, Brown R, Rangan K, Finlay J, Olch A, Freyer D, Bluml S, Gate D, Danielpour M, Rodriguez J, Shae JJ, Kim GB, Levy R, Bannykh S, Breunig JJ, Town T, Monje-Deisseroth M, Cho YJ, Weissman I, Cheshier S, Buczkowicz P, Rakopoulos P, Bouffet E, Morrison A, Bartels U, Becher O, Hawkins C, Dey A, Kenney A, Van Gool S, Pauwels F, De Vleeschouwer S, Barszczyk M, Buczkowicz P, Castelo-Branco P, Mack S, Nethery-Brokx K, Morrison A, Taylor M, Dirks P, Tabori U, Hawkins C, Chandramohan V, Keir ST, Bao X, Pastan IH, Kuan CT, Bigner DD, Bender S, Jones D, Kool M, Sturm D, Korshunov A, Lichter P, Pfister SM, Chen M, Lu J, Wang J, Keir S, Zhang M, Zhao S, Mook R, Barak L, Lyerly HK, Chen W, Ramachandran C, Nair S, Escalon E, Khatib Z, Quirrin KW, Melnick S, Kievit F, Stephen Z, Wang K, Silber J, Ellenbogen R, Zhang M, Hutzen B, Studebaker A, Bratasz A, Powell K, Raffel C, Guo C, Chang CC, Wortham M, Chen L, Kernagis D, Qin X, Cho YW, Chi JT, Grant G, McLendon R, Yan H, Ge K, Papadopoulos N, Bigner D, He Y, Cristiano B, Venkataraman S, Birks DK, Alimova I, Harris PS, Dubuc A, Taylor MD, Foreman NK, Vibhakar R, Ichimura K, Fukushima S, Totoki Y, Suzuki T, Mukasa A, Saito N, Kumabe T, Tominaga T, Kobayashi K, Nagane M, Iuchi T, Mizoguchi M, Sasaki T, Tamura K, Sugiyama K, Narita Y, Shibui S, Matsutani M, Shibata T, Nishikawa R, Northcott P, Zichner T, Jones D, Kool M, Jager N, Feychting M, Lannering B, Tynes T, Wesenberg F, Hauser P, Ra YS, Zitterbart K, Jabado N, Chan J, Fults D, Mueller S, Grajkowska W, Lichter P, Korbel J, Pfister S, Kool M, Jones DTW, Jaeger N, Northcott PA, Pugh T, Hovestadt V, Markant SL, Esparza LA, Bourdeaut F, Remke M, Taylor MD, Cho YJ, Pomeroy SL, Schueller U, Korshunov A, Eils R, Wechsler-Reya RJ, Lichter P, Pfister SM, Keir S, Pegram C, Lipp E, Rasheed A, Chandramohan V, Kuan CT, Kwatra M, Yan H, Bigner D, Chornenkyy Y, Buczkowicz P, Agnihotri S, Becher O, Hawkins C, Rogers H, Mayne C, Kilday JP, Coyle B, Grundy R, Sun T, Warrington N, Luo J, Brooks M, Dahiya S, Sengupta R, Rubin J, Erdreich-Epstein A, Robison N, Ren X, Zhou H, Ji L, Margo A, Jones D, Pfister S, Kool M, Sposto R, Asgharzadeh S, Clifford S, Gustafsson G, Ellison D, Figarella-Branger D, Doz F, Rutkowski S, Lannering B, Pietsch T, Broniscer A, Tatevossian R, Sabin N, Klimo P, Dalton J, Lee R, Gajjar A, Ellison D, Garzia L, Dubuc A, Pitcher G, Northcott P, Mariampillai A, Chan T, Skowron P, Wu X, Yao Y, Hawkins C, Peacock J, Zayne K, Croul S, Rutka J, Kenney A, Huang A, Yang V, Baylin S, Salter M, Taylor M, Ward S, Sengupta R, Rubin J, Garzia L, Morrissy S, Skowron P, Jelveh S, Lindsay P, Largaespada D, Collier L, Dupuy A, Hill R, Taylor M, Lulla RR, Laskowski J, Fangusaro J, DiPatri AJ, Alden T, Vanin EF, Tomita T, Goldman S, Soares MB, Rajagopal MU, Lau LS, Hathout Y, Gordish-Dressman H, Rood B, Datar V, Bochare S, Singh A, Khatau S, Fangusaro J, Goldman S, Lulla R, Rajaram V, Gopalakrishnan V, Morfouace M, Shelat A, Jaccus M, Freeman B, Zindy F, Robinson G, Guy K, Stewart C, Gajjar A, Roussel M, Krebs S, Chow K, Yi Z, Brawley V, Ahmed N, Gottschalk S, Lerner R, Harness J, Yoshida Y, Santos R, Torre JDL, Nicolaides T, Ozawa T, James D, Petritsch C, Vitte J, Chareyre F, Stemmer-Rachamimov A, Giovannini M, Hashizume R, Yu-Jen L, Tom M, Ihara Y, Huang X, Waldman T, Mueller S, Gupta N, James D, Shevtsov M, Yakovleva L, Nikolaev B, Dobrodumov A, Onokhin K, Bychkova N, Mikhrina A, Khachatryan W, Guzhova I, Martynova M, Bystrova O, Ischenko A, Margulis B, Martin A, Nirschl C, Polanczyk M, Cohen K, Pardoll D, Drake C, Lim M, Crowther A, Chang S, Yuan H, Deshmukh M, Gershon T, Meyerowitz JG, Gustafson WC, Nekritz EA, Swartling F, Shokat KM, Ruggero D, Weiss WA, Bergthold G, Rich B, Bandopadhayay P, Chan J, Santaga S, Hoshida Y, Golub T, Tabak B, Ferrer-Luna R, Grill J, Wen PY, Stiles C, Kieran M, Ligon K, Beroukhim R, Lulla RR, Laskowski J, Gireud M, Fangusaro J, Goldman S, Gopalakrishnan V, Merino D, Shlien A, Pienkowska M, Tabori U, Gilbertson R, Malkin D, Mueller S, Hashizume R, Yang X, Kolkowitz I, Olow A, Phillips J, Smirnov I, Tom M, Prados M, Berger M, Gupta N, Haas-Kogan D, Beez T, Sarikaya-Seiwert S, Janssen G, Felsberg J, Steiger HJ, Hanggi D, Marino AM, Baryawno N, Johnsen JI, Ostman A, Wade A, Engler JR, Robinson AE, Phillips JJ, Witt H, Sill M, Mack SC, Wani KM, Lambert S, Tzaridis T, Bender S, Jones DT, Milde T, Northcott PA, Kool M, von Deimling A, Kulozik AE, Witt O, Lichter P, Collins VP, Aldape K, Taylor MD, Korshunov A, Pfister SM, Hatcher R, Das C, Datar V, Taylor P, Singh A, Lee D, Fuller G, Ji L, Fangusaro J, Rajaram V, Goldman S, Eberhart C, Gopalakrishnan V, Griveau A, Lerner R, Ihrie R, Sugiarto S, Ihara Y, Reichholf B, Huillard E, Mcmahon M, James D, Phillips J, Buylla AA, Rowitch D, Petritsch C, Snuderl M, Batista A, Kirkpatrick N, de Almodovar CR, Riedemann L, Knevels E, Schmidt T, Peterson T, Roberge S, Bais C, Yip S, Hasselblatt M, Rossig C, Ferrara N, Klagsbrun M, Duda D, Fukumura D, Xu L, Carmeliet P, Jain R, Nguyen A, Pencreach E, Lasthaus C, Lobstein V, Guerin E, Guenot D, Entz-Werle N, Diaz R, Golbourn B, Faria C, Shih D, MacKenzie D, Picard D, Bryant M, Smith C, Taylor M, Huang A, Rutka J, Gromeier M, Desjardins A, Sampson JH, Threatt SJE, Herndon JE, Friedman A, Friedman HS, Bigner DD, Cavalli FMG, Morrissy AS, Li Y, Chu A, Remke M, Thiessen N, Mungall AJ, Bader GD, Malkin D, Marra MA, Taylor MD, Manoranjan B, Wang X, Hallett R, Venugopal C, Mack S, McFarlane N, Nolte S, Scheinemann K, Gunnarsson T, Hassell J, Taylor M, Lee C, Triscott J, Foster C, Dunham C, Hawkins C, Dunn S, Singh S, McCrea HJ, Bander E, Venn RA, Reiner AS, Iorgulescu JB, Puchi LA, Schaefer PM, Cederquist G, Greenfield JP, Tsoli M, Luk P, Dilda P, Hogg P, Haber M, Ziegler D, Mack S, Agnihotri S, Witt H, Shih D, Wang X, Ramaswamy V, Zayne K, Bertrand K, Massimi L, Grajkowska W, Lach B, Gupta N, Weiss W, Guha A, Zadeh G, Rutka J, Korshunov A, Pfister S, Taylor M, Mack S, Witt H, Jager N, Zuyderduyn S, Nethery-Brokx K, Garzia L, Zayne K, Wang X, Barszczyk M, Wani K, Bouffet E, Weiss W, Hawkins C, Rutka J, Bader G, Aldape K, Dirks P, Pfister S, Korshunov A, Taylor M, Engler J, Robinson A, Wade A, Molinaro A, Phillips J, Ramaswamy V, Remke M, Bouffet E, Faria C, Shih D, Gururangan S, McLendon R, Schuller U, Ligon K, Pomeroy S, Jabado N, Dunn S, Fouladi M, Rutka J, Hawkins C, Tabori U, Packer R, Pfister S, Korshunov A, Taylor M, Faria C, Dubuc A, Golbourn B, Diaz R, Agnihotri S, Sabha N, Luck A, Leadly M, Reynaud D, Wu X, Remke M, Ramaswamy V, Northcott P, Pfister S, Croul S, Kool M, Korshunov A, Smith C, Taylor M, Rutka J, Pietsch T, Doerner E, Muehlen AZ, Velez-Char N, Warmuth-Metz M, Kortmann R, von Hoff K, Friedrich C, Rutkowski S, von Bueren A, Lu YJ, James CD, Hashizume R, Mueller S, Phillips J, Gupta N, Sturm D, Northcott PA, Jones DTW, Korshunov A, Picard D, Lichter P, Huang A, Pfister SM, Kool M, Ward J, Teague C, Shriyan B, Grundy R, Rahman R, Taylor K, Mackay A, Morozova O, Butterfield Y, Truffaux N, Philippe C, Vinci M, de Torres C, Cruz O, Mora J, Hargrave D, Puget S, Yip S, Jones C, Grill J, Smith S, Ward J, Tan C, Grundy R, Rahman R, Bjerke L, Mackay A, Nandhabalan M, Burford A, Jury A, Popov S, Bax D, Carvalho D, Taylor K, Vinci M, Bajrami I, McGonnell I, Lord C, Reis R, Hargrave D, Ashworth A, Workman P, Jones C, Carvalho D, Mackay A, Burford A, Bjerke L, Chen L, Kozarewa I, Lord C, Ashworth A, Hargrave D, Reis R, Jones C, Marigil M, Jauregui PJ, Alonso M, Chan TS, Hawkins C, Picard D, Henkin J, Huang A, Trubicka J, Kucharczyk M, Pelc M, Chrzanowska K, Ciara E, Perek-Polnik M, Grajkowska W, Piekutowska-Abramczuk D, Jurkiewicz D, Luczak S, Borucka-Mankiewicz M, Kowalski P, Krajewska-Walasek M, de Mola RML, Laskowski J, Fangusaro J, Costa FF, Vanin EF, Goldman S, Soares MB, Lulla RR, Mann A, Venugopal C, Vora P, Singh M, van Ommeren R, McFarlane N, Manoranjan B, Qazi M, Scheinemann K, MacDonald P, Delaney K, Whitton A, Dunn S, Singh S, Sievert A, Lang SS, Boucher K, Madsen P, Slaunwhite E, Choudhari N, Kellet M, Storm P, Resnick A, Agnihotri S, Burrell K, Fernandez N, Golbourn B, Clarke I, Barszczyk M, Sabha N, Dirks P, Jones C, Rutka J, Zadeh G, Hawkins C, Murphy B, Obad S, Bihannic L, Ayrault O, Zindy F, Kauppinen S, Roussel M, Golbourn B, Agnihotri S, Cairns R, Mischel P, Aldape K, Hawkins C, Zadeh G, Rutka J, Rush S, Donson A, Kleinschmidt-DeMasters B, Bemis L, Birks D, Chan M, Smith A, Handler M, Foreman N, Gronych J, Jones DTW, Zuckermann M, Hutter S, Korshunov A, Kool M, Ryzhova M, Reifenberger G, Pfister SM, Lichter P, Jones DTW, Hovestadt V, Picelli S, Wang W, Northcott PA, Kool M, Jager N, Reifenberger G, Rutkowski S, Pietsch T, Sultan M, Yaspo ML, Landgraf P, Eils R, Korshunov A, Zapatka M, Pfister SM, Radlwimmer B, Lichter P, Huang Y, Mao H, Wang Y, Kogiso M, Zhao X, Baxter P, Man C, Wang Z, Zhou Y, Li XN, Chung AH, Crabtree D, Schroeder K, Becher OJ, Panosyan E, Wang Y, Lasky J, Liu Z, Zhao X, Wang Y, Mao H, Huang Y, Kogiso M, Baxter P, Adesina A, Su J, Picard D, Huang A, Perlaky L, Chintagumpala M, Lau C, Blaney S, Li XN, Huang M, Persson A, Swartling F, Moriarity B. Abstracts. Neuro Oncol 2013. [DOI: 10.1093/neuonc/not047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Hou JG, Bryant M, Rintala D, Protas E. Reliability of the Overground Walk Test in Persons with Parkinson's Disease (P06.045). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.p06.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Dumoulin SO, Mullen KT, McMahon KL, Bryant M, de Zubicaray GI, Hess RF. A comparison of the BOLD fMRI response to achromatic, L/M opponent and S-cone opponent cardinal stimuli in human visual cortex: II. chromatic vs achromatic stimuli. J Vis 2010. [DOI: 10.1167/5.8.265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Rao S, Bryant M, Herbert R, Sullivan N, Murray C, Bacher J, Safdar N. Idiopathic chondrolysis condition in two young, wild-caught Cynomolgus monkeys (Macaca fascicularis) reared in captivity. Vet Pathol 2009; 46:509-13. [PMID: 19176502 DOI: 10.1354/vp.08-vp-0216-r-bc] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Idiopathic chondrolysis is a human clinical entity typically reported in adolescent individuals. In this brief communication, we report 2 cases of presumptive idiopathic chondrolysis of the femoral head in Cynomolgus macaques and discuss the clinical symptomatology and pathology of the disease. In detail, we describe the histomorphologic changes of idiopathic chondrolysis and compare these findings with those typically observed in the primary differential diagnoses of Legg-Calve-Perthes disease and nonspecific osteoarthritis. Consideration of this entity among differential diagnoses in young Cynomolgus macaques with unilateral osteoarthritis could be important both for laboratory animal veterinarians and pathologists.
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Affiliation(s)
- S Rao
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
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