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Masilamani M, Jawa V, Dai Y, Das R, Park A, Lamba M, Wu F, Zheng X, Lu E, Gleason C, Mack T, Mora J, Surapaneni S. Bioanalytical Methods for Characterization of CAR-T Cellular Kinetics: Comparison of PCR Assays and Matrices. Clin Pharmacol Ther 2023; 114:664-672. [PMID: 37422675 DOI: 10.1002/cpt.2991] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/27/2023] [Indexed: 07/10/2023]
Abstract
Recently, multiple chimeric antigen receptor T-cell (CAR-T)-based therapies have been approved for treating hematological malignancies, targeting CD19 and B-cell maturation antigen. Unlike protein or antibody therapies, CAR-T therapies are "living cell" therapies whose pharmacokinetics are characterized by expansion, distribution, contraction, and persistence. Therefore, this unique modality requires a different approach for quantitation compared with conventional ligand binding assays implemented for most biologics. Cellular (flow cytometry) or molecular assays (polymerase chain reaction (PCR)) can be deployed with each having unique advantages and disadvantages. In this article, we describe the molecular assays utilized: quantitative PCR (qPCR), which was the initial platform used to estimate transgene copy numbers and more recently droplet digital PCR (ddPCR) which quantitates the absolute copy numbers of CAR transgene. The comparability of the two methods in patient samples and of each method across different matrices (isolated CD3+ T-cells or whole blood) was also performed. The results show a good correlation between qPCR and ddPCR for the amplification of same gene in clinical samples from a CAR-T therapy trial. In addition, our studies show that the qPCR-based amplification of transgene levels was well-correlated, independent of DNA sources (either CD3+ T-cells or whole blood). Our results also highlight that ddPCR can be a better platform for monitoring samples at the early phase of CAR-T dosing prior to expansion and during long-term monitoring as they can detect samples with very low copy numbers with high sensitivity, in addition to easier implementation and sample logistics.
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Affiliation(s)
- Madhan Masilamani
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Vibha Jawa
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Yanshan Dai
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Romita Das
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Alice Park
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Manisha Lamba
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Fan Wu
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Xirong Zheng
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Edwin Lu
- Global Biometrics and Data Sciences, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Carol Gleason
- Global Biometrics and Data Sciences, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Tim Mack
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Johanna Mora
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
| | - Sekhar Surapaneni
- Department of Clinical Pharmacology, Pharmacometrics, Disposition, and Bioanalysis, Bristol Myers Squibb, Lawrenceville, New Jersey, USA
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McMahon S, Sahasrabhojane P, Kim J, Franklin S, Chang CC, Jenq RR, Hillhouse AE, Shelburne SA, Galloway-Peña J. Contribution of the Oral and Gastrointestinal Microbiomes to Bloodstream Infections in Leukemia Patients. Microbiol Spectr 2023; 11:e0041523. [PMID: 37022173 PMCID: PMC10269818 DOI: 10.1128/spectrum.00415-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/20/2023] [Indexed: 04/07/2023] Open
Abstract
Bloodstream infections (BSIs) pose a significant mortality risk for acute myeloid leukemia (AML) patients. It has been previously reported that intestinal domination (>30% relative abundance [RA] attributed to a single taxon) with the infecting taxa often precedes BSI in stem cell transplant patients. Using 16S rRNA amplicon sequencing, we analyzed oral and stool samples from 63 AML patients with BSIs to determine the correlation between the infectious agent and microbiome composition. Whole-genome sequencing and antimicrobial susceptibilities were performed on all BSI isolates. Species-level detection of the infectious agent and presence of antibiotic resistance determinants in the stool (blaCTX-M-15, blaCTX-M-14, cfrA, and vanA) were confirmed via digital droplet PCR (ddPCR). Individuals with Escherichia coli (stool P < 0.001), Pseudomonas aeruginosa (oral P = 0.004, stool P < 0.001), and viridans group streptococci (VGS) (oral P = 0.001) bacteremia had a significantly higher relative abundance of those respective genera than other BSI patients, which appeared to be site specific. Although 78% of patients showed presence of the infectious genera in the stool and/or saliva, only 7 exhibited microbiome domination. ddPCR confirmed species specificity of the 16S data and detected the antibiotic resistance determinants found in the BSI isolates within concurrent stools. Although gastrointestinal (GI) domination by an infecting organism was not present at the time of most BSIs in AML, the pathogens, along with AMR elements, were detectable in the majority of patients. Thus, rapid genetic assessment of oral and stool samples for the presence of potential pathogens and AMR determinants might inform personalized therapeutic approaches in immunocompromised patients with suspected infection. IMPORTANCE A major cause of mortality in hematologic malignancy patients is BSI. Previous studies have demonstrated that bacterial translocation from the GI microbiome is a major source of BSIs and is often preceded by increased levels of the infectious taxa in the GI (>30% abundance by 16S rRNA sequencing). In this study, we sought to better understand how domination and abundance levels of the oral and gut microbiome relate to bacteremia occurrence in acute myeloid leukemia patients. We conclude that analyses of both oral and stool samples can help identify BSI and antimicrobial resistance determinants, thus potentially improving the timing and tailoring of antibiotic treatment strategies for high-risk patients.
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Affiliation(s)
- Stephanie McMahon
- Interdisciplinary Genetics Program, Texas A&M University, College Station, Texas, USA
| | - Pranoti Sahasrabhojane
- Department of Infectious Diseases, Infection Control, and Employee Health, MD Anderson Cancer Center, Houston, Texas, USA
| | - Jiwoong Kim
- Department of Bioinformatics and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Samantha Franklin
- Interdisciplinary Genetics Program, Texas A&M University, College Station, Texas, USA
| | - Chia-Chi Chang
- Department of Genomic Medicine, MD Anderson Cancer Center, Houston, Texas, USA
| | - Robert R. Jenq
- Department of Genomic Medicine, MD Anderson Cancer Center, Houston, Texas, USA
| | - Andrew E. Hillhouse
- Department of Veterinary Pathobiology, Texas A&M University, College Station, Texas, USA
- Texas A&M Institute for Genome Sciences & Society, Texas A&M University, College Station, Texas, USA
| | - Samuel A. Shelburne
- Department of Infectious Diseases, Infection Control, and Employee Health, MD Anderson Cancer Center, Houston, Texas, USA
- Department of Genomic Medicine, MD Anderson Cancer Center, Houston, Texas, USA
| | - Jessica Galloway-Peña
- Interdisciplinary Genetics Program, Texas A&M University, College Station, Texas, USA
- Department of Genomic Medicine, MD Anderson Cancer Center, Houston, Texas, USA
- Department of Veterinary Pathobiology, Texas A&M University, College Station, Texas, USA
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3
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Mahamad P, Dahlan W, Kahong S, So-audon S, Munaowaroh W, Nopponpunth V. Duplex droplet digital PCR (ddPCR) for simultaneous quantification of bovine and porcine gelatin in capsules. Food Sci Biotechnol 2023; 32:803-811. [PMID: 37041814 PMCID: PMC10082860 DOI: 10.1007/s10068-022-01204-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 10/14/2022] [Accepted: 11/01/2022] [Indexed: 12/23/2022] Open
Abstract
Detection of bovine and porcine in gelatin-based products is important as species fraud and product mislabeling may have a detrimental impact on customers who have health, ethical, and religious concerns about animal products. The duplex droplet digital PCR (ddPCR) assay using double-quenched probes has been developed for quantification and detection of porcine and bovine DNA in gelatin capsules. A DNA mixture derived from gelatin was found to have a limit of detection as low as 0.001 ng/µl for porcine samples and 0.01 ng/µl for bovine samples. DNA from 12 other distinct species was tested with the bovine and porcine probes, showing high specificity for this method. The test was validated using fifty-five commercial supplement and pharmaceutical capsules, of which 17 were positive for bovine and/or porcine DNA. This study shows that the duplex ddPCR is reliable for routine analysis in the identification of bovine and porcine origins for gelatin capsules. Supplementary Information The online version contains supplementary material available at 10.1007/s10068-022-01204-x.
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Affiliation(s)
- Pornpimol Mahamad
- The Halal Science Center, Chulalongkorn University, CU Research Building, 254 Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
| | - Winai Dahlan
- The Halal Science Center, Chulalongkorn University, CU Research Building, 254 Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
| | - Saveeyah Kahong
- The Halal Science Center, Chulalongkorn University, CU Research Building, 254 Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
| | - Sukanya So-audon
- The Halal Science Center, Chulalongkorn University, CU Research Building, 254 Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
| | - Wila Munaowaroh
- The Halal Science Center, Chulalongkorn University, CU Research Building, 254 Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
| | - Vanida Nopponpunth
- The Halal Science Center, Chulalongkorn University, CU Research Building, 254 Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
- Department of Clinical Chemistry, Faculty of Allied Health Science, Chulalongkorn University, 154 Rama I Road, Chula Soi 12, Pathumwan, Bangkok, 10330 Thailand
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Jauregi L, González A, Garbisu C, Epelde L. Organic amendment treatments for antimicrobial resistance and mobile element genes risk reduction in soil-crop systems. Sci Rep 2023; 13:863. [PMID: 36650207 PMCID: PMC9845208 DOI: 10.1038/s41598-023-27840-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 01/06/2023] [Indexed: 01/19/2023] Open
Abstract
Agricultural fertilization with organic amendments of animal origin often leads to antibiotic resistance dissemination. In this study, we evaluated the effect of different treatments (anaerobic digestion, biochar application, ozonation, zerovalent iron nanoparticle application, and spent mushroom substrate addition) on the resistome in dairy cow manure-derived amendments (slurry, manure, and compost). Anaerobic digestion and biochar application resulted in the highest reduction in antibiotic resistance gene (ARG) and mobile genetic element (MGE) gene abundance. These two treatments were applied to cow manure compost, which was then used to fertilize the soil for lettuce growth. After crop harvest, ARG and MGE gene absolute and relative abundances in the soil and lettuce samples were determined by droplet digital PCR and high-throughput qPCR, respectively. Prokaryotic diversity in cow manure-amended soils was determined using 16S rRNA metabarcoding. Compared to untreated compost, anaerobic digestion led to a 38% and 83% reduction in sul2 and intl1 absolute abundances in the soil, respectively, while biochar led to a 60% reduction in intl1 absolute abundance. No differences in lettuce gene abundances were observed among treatments. We conclude that amendment treatments can minimize the risk of antibiotic resistance in agroecosystems.
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Affiliation(s)
- Leire Jauregi
- NEIKER - Basque Institute of Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, P812, 48160, Derio, Spain.
| | - Aitor González
- NEIKER - Basque Institute of Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, P812, 48160, Derio, Spain
| | - Carlos Garbisu
- NEIKER - Basque Institute of Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, P812, 48160, Derio, Spain
| | - Lur Epelde
- NEIKER - Basque Institute of Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, P812, 48160, Derio, Spain
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5
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Lu C, Wang J, Pan L, Gu X, Lu W, Chen D, Zhang C, Ye Q, Xiao C, Liu P, Tang Y, Tang B, Huang G, Fang J, Jiang H. Rapid detection of multiple resistance genes to last-resort antibiotics in Enterobacteriaceae pathogens by recombinase polymerase amplification combined with lateral flow dipstick. Front Microbiol 2023; 13:1062577. [PMID: 36687650 PMCID: PMC9850091 DOI: 10.3389/fmicb.2022.1062577] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/12/2022] [Indexed: 01/07/2023] Open
Abstract
The worrying emergence of multiple resistance genes to last-resort antibiotics in food animals and human populations throughout the food chain and relevant environments has been increasingly reported worldwide. Enterobacteriaceae pathogens are considered the most common reservoirs of such antibiotic resistance genes (ARGs). Thus, a rapid, efficient and accurate detection method to simultaneously screen and monitor such ARGs in Enterobacteriaceae pathogens has become an urgent need. Our study developed a recombinase polymerase amplification (RPA) assay combined with a lateral flow dipstick (LFD) for simultaneously detecting predominant resistance genes to last-resort antibiotics of Enterobacteriaceae pathogens, including mcr-1, blaNDM-1 and tet(X4). It is allowed to complete the entire process, including crude DNA extraction, amplification as well as reading, within 40 min at 37°C, and the detection limit is 101 copies/μl for mcr-1, blaNDM-1 and tet(X4). Sensitivity analysis showed obvious association of color signals with the template concentrations of mcr-1, blaNDM-1 and tet(X4) genes in Enterobacteriaceae pathogens using a test strip reader (R 2 = 0.9881, R 2 = 0.9745, and R 2 = 0.9807, respectively), allowing for quantitative detection using multiplex RPA-LFD assays. Therefore, the RPA-LFD assay can suitably help to detect multiple resistance genes to last-resort antibiotics in foodborne pathogens and has potential applications in the field.
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Affiliation(s)
- Chenze Lu
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China
| | - Jingwen Wang
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China
| | - Leiming Pan
- Zhejiang Hongzheng Testing Co., Ltd, Ningbo, Zhejiang, China
| | - Xiuying Gu
- Zhejiang Gongzheng Testing Center Co., Ltd, Hangzhou, Zhejiang, China
| | - Wenjing Lu
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Di Chen
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Cen Zhang
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Qin Ye
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Chaogeng Xiao
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Pengpeng Liu
- Key Laboratory of Biosafety Detection for Zhejiang Market Regulation, Zhejiang Fangyuan Testing Group LO.T, Hangzhou, Zhejiang, China
| | - Yulong Tang
- Hangzhou Tiannie Technology Co., Ltd, Hangzhou, Zhejiang, China
| | - Biao Tang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products and Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Guangrong Huang
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China
| | - Jiehong Fang
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China,*Correspondence: Jiehong Fang, ✉
| | - Han Jiang
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China,Han Jiang, ✉
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6
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Choi CH, Kim E, Yang SM, Kim DS, Suh SM, Lee GY, Kim HY. Comparison of Real-Time PCR and Droplet Digital PCR for the Quantitative Detection of Lactiplantibacillus plantarum subsp. plantarum. Foods 2022; 11:foods11091331. [PMID: 35564054 PMCID: PMC9105557 DOI: 10.3390/foods11091331] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/26/2022] [Accepted: 04/30/2022] [Indexed: 12/04/2022] Open
Abstract
Droplet digital polymerase chain reaction (ddPCR) is one of the newest and most promising tools providing absolute quantification of target DNA molecules. Despite its emerging applications in microorganisms, few studies reported its use for detecting lactic acid bacteria. This study evaluated the applicability of a ddPCR assay targeting molecular genes obtained from in silico analysis for detecting Lactiplantibacillus plantarum subsp. plantarum, a bacterium mainly used as a starter or responsible for fermentation in food. The performance characteristics of a ddPCR were compared to those of a quantitative real-time PCR (qPCR). To compare the linearity and sensitivity of a qPCR and ddPCR, the calibration curve for a qPCR and the regression curve for a ddPCR were obtained using genomic DNA [102−108 colony-forming units (CFU)/mL] extracted from a pure culture and spiked food sample. Both the qPCR and ddPCR assays exhibited good linearity with a high coefficient of determination in the pure culture and spiked food sample (R2 ≥ 0.996). The ddPCR showed a 10-fold lower limit of detection, suggesting that a ddPCR is more sensitive than a qPCR. However, a ddPCR has limitations in the absolute quantitation of high bacterial concentrations (>106 CFU/mL). In conclusion, a ddPCR can be a reliable method for detecting and quantifying lactic acid bacteria in food.
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Affiliation(s)
| | | | | | | | | | | | - Hae-Yeong Kim
- Correspondence: ; Tel.: +82-31-201-2600; Fax: +82-31-204-8116
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Barua VB, Juel MAI, Blackwood AD, Clerkin T, Ciesielski M, Sorinolu AJ, Holcomb DA, Young I, Kimble G, Sypolt S, Engel LS, Noble RT, Munir M. Tracking the temporal variation of COVID-19 surges through wastewater-based epidemiology during the peak of the pandemic: A six-month long study in Charlotte, North Carolina. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 814:152503. [PMID: 34954186 PMCID: PMC8697423 DOI: 10.1016/j.scitotenv.2021.152503] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 05/05/2023]
Abstract
The global spread of SARS-CoV-2 has continued to be a serious concern after WHO declared the virus to be the causative agent of the coronavirus disease 2019 (COVID-19) a global pandemic. Monitoring of wastewater is a useful tool for assessing community prevalence given that fecal shedding of SARS-CoV-2 occurs in high concentrations by infected individuals, regardless of whether they are asymptomatic or symptomatic. Using tools that are part of wastewater-based epidemiology (WBE) approach, combined with molecular analyses, wastewater monitoring becomes a key piece of information used to assess trends and quantify the scale and dynamics of COVID-19 infection in a specific community, municipality, or area of service. This study investigates a six-month long SARS-CoV-2 RNA quantification in influent wastewater from four municipal wastewater treatment plants (WWTP) serving the Charlotte region of North Carolina (NC) using both RT-qPCR and RT-ddPCR platforms. Influent wastewater was analyzed for the nucleocapsid (N) genes N1 and N2. Both RT-qPCR and RT-ddPCR performed well for detection and quantification of SARS-CoV-2 using the N1 target, while for the N2 target RT-ddPCR was more sensitive. SARS-CoV-2 concentration ranged from 103 to 105 copies/L for all four plants. Both RT-qPCR and RT-ddPCR showed a significant positive correlation between SARS-CoV-2 concentrations and the 7-day rolling average of clinically reported COVID-19 cases when lagging 5 to 12 days (ρ = 0.52-0.92, p < 0.001-0.02). A major finding of this study is that RT-qPCR and RT-ddPCR generated SARS-CoV-2 data that was positively correlated (ρ = 0.569, p < 0.0001) and can be successfully used to monitor SARS-CoV-2 signals across the WWTP of different sizes and metropolitan service functions without significant anomalies.
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Affiliation(s)
- Visva Bharati Barua
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA
| | - Md Ariful Islam Juel
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA
| | - A Denene Blackwood
- Institute of Marine Sciences, The University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Thomas Clerkin
- Institute of Marine Sciences, The University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Mark Ciesielski
- Institute of Marine Sciences, The University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Adeola Julian Sorinolu
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA
| | - David A Holcomb
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Isaiah Young
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA
| | - Gina Kimble
- Charlotte Water, 5100 Brookshire Blvd., Charlotte, NC 28216, USA
| | - Shannon Sypolt
- Charlotte Water, 5100 Brookshire Blvd., Charlotte, NC 28216, USA
| | - Lawrence S Engel
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rachel T Noble
- Institute of Marine Sciences, The University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Mariya Munir
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA.
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