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Ma C, Sun Y, Huang Y, Gao Z, Huang Y, Pandey I, Jia C, Feng S, Zhao J. On-Chip Nucleic Acid Purification Followed by ddPCR for SARS-CoV-2 Detection. Biosensors (Basel) 2023; 13:bios13050517. [PMID: 37232879 DOI: 10.3390/bios13050517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 04/19/2023] [Accepted: 04/21/2023] [Indexed: 05/27/2023]
Abstract
We developed a microfluidic chip integrated with nucleic acid purification and droplet-based digital polymerase chain reaction (ddPCR) modules to realize a 'sample-in, result-out' infectious virus diagnosis. The whole process involved pulling magnetic beads through drops in an oil-enclosed environment. The purified nucleic acids were dispensed into microdroplets by a concentric-ring, oil-water-mixing, flow-focusing droplets generator driven under negative pressure conditions. Microdroplets were generated with good uniformity (CV = 5.8%), adjustable diameters (50-200 μm), and controllable flow rates (0-0.3 μL/s). Further verification was provided by quantitative detection of plasmids. We observed a linear correlation of R2 = 0.9998 in the concentration range from 10 to 105 copies/μL. Finally, this chip was applied to quantify the nucleic acid concentrations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The measured nucleic acid recovery rate of 75 ± 8.8% and detection limit of 10 copies/μL proved its on-chip purification and accurate detection abilities. This chip can potentially be a valuable tool in point-of-care testing.
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Affiliation(s)
- Cong Ma
- School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yimeng Sun
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuhang Huang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- School of Life Sciences, Shanghai Normal University, Shanghai 200235, China
| | - Zehang Gao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Department of Clinical Laboratory, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China
| | - Yaru Huang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- School of Life Sciences, Shanghai Normal University, Shanghai 200235, China
| | - Ikshu Pandey
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Chunping Jia
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shilun Feng
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianlong Zhao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- Xiangfu Laboratory, Jiaxing 314102, China
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Guo Z, Zhao N, Chung TD, Singh A, Pandey I, Wang L, Gu X, Ademola A, Linville RM, Pal U, Dumler JS, Searson PC. Visualization of the Dynamics of Invasion and Intravasation of the Bacterium That Causes Lyme Disease in a Tissue Engineered Dermal Microvessel Model. Adv Sci (Weinh) 2022; 9:e2204395. [PMID: 36156464 PMCID: PMC9762293 DOI: 10.1002/advs.202204395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/06/2022] [Indexed: 06/16/2023]
Abstract
Lyme disease is a tick-borne disease prevalent in North America, Europe, and Asia. Despite the accumulated knowledge from epidemiological, in vitro, and in animal studies, the understanding of dissemination of vector-borne pathogens, such as Borrelia burgdorferi (Bb), remains incomplete with several important knowledge gaps, especially related to invasion and intravasation into circulation. To elucidate the mechanistic details of these processes a tissue-engineered human dermal microvessel model is developed. Fluorescently labeled Bb are injected into the extracellular matrix (ECM) to mimic tick inoculation. High resolution, confocal imaging is performed to visualize the sub-acute phase of infection. From analysis of migration paths no evidence to support adhesin-mediated interactions between Bb and ECM components is found, suggesting that collagen fibers serve as inert obstacles to migration. Intravasation occurs at cell-cell junctions and is relatively fast, consistent with Bb swimming in ECM. In addition, it is found that Bb alone can induce endothelium activation, resulting in increased immune cell adhesion but no changes in global or local permeability. Together these results provide new insight into the minimum requirements for Bb dissemination and highlight how tissue-engineered models are complementary to animal models in visualizing dynamic processes associated with vector-borne pathogens.
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Affiliation(s)
- Zhaobin Guo
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
| | - Nan Zhao
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
| | - Tracy D. Chung
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
- Department of Biomedical EngineeringJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
| | - Anjan Singh
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
- Department of Biomedical EngineeringJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
| | - Ikshu Pandey
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
- Department of Materials Science and EngineeringJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
| | - Linus Wang
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
- Department of Biomedical EngineeringJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
| | - Xinyue Gu
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
- Department of Applied Mathematics and StatisticsJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
| | - Aisha Ademola
- Department of ChemistryUniversity of South Florida4202 E Fowler AveTampaFL33620USA
| | - Raleigh M. Linville
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
- Department of Biomedical EngineeringJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
| | - Utpal Pal
- Department of Veterinary MedicineThe University of Maryland, College Park8075 Greenmead DrCollege ParkMD20740USA
| | - J. Stephen Dumler
- Joint Department of PathologySchool of MedicineUniformed Services University of the Health Sciences4301 Jones Bridge RdBethesdaMD20814USA
| | - Peter C. Searson
- Institute for NanobiotechnologyJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
- Department of Biomedical EngineeringJohns Hopkins University3400 N Charles StBaltimoreMD21218USA
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Pandey I, Chauhan SS. Studies on production performance and toxin residues in tissues and eggs of layer chickens fed on diets with various concentrations of aflatoxin AFB1. Br Poult Sci 2008; 48:713-23. [PMID: 18085454 DOI: 10.1080/00071660701713534] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
1. An experiment on 1-week-old, White Leghorn female chicks was conducted to study the effect of aflatoxin AFB1 on weight gain, feed intake, feed gain ratio, age at sexual maturity, production and quality of eggs, retention of nutrients, pathoanatomical and histopathological parameters, and also on AFB1 residues in eggs and muscles of hens. The chicks were assigned to 4 dietary treatments: D1 (without AFB1), D2 (2.50 mg/kg AFB1), D3 (3.13 mg/kg AFB1), D4 (3.91 mg/kg AFB1) up to the age of 40 weeks. 2. At the end of the experiment, the mean body weight gain and feed intake were significantly lower in all aflatoxin-fed groups compared to control. The feed gain ratios were noted as 13.41, 13.59, 13.82 and 14.71, with the group fed the highest concentration of AFB1 showing a significantly poorer ratio than other groups. 3. Age at sexual maturity was also affected adversely by dietary AFB1: 193 d for D4 as compared to as early as 148 d for D1. Hen-d egg production was recorded as 96.92, 74.67, 65.98 and 50.75 in D1, D2, D3 and D4, respectively. 4. Average egg weights at the end of the experiment were 57.77, 57.49, 57.54 and 54.66 for D1, D2, D3 and D4, respectively. Shape index was significantly lower in D4 as compared to control. Contrary to this, albumen index was significantly higher in D4 as compared to D1. The values of yolk indices and eggshell thickness did not differ significantly among treatment groups. However, colour of yolk was reduced in all aflatoxin-fed groups compared to control. 5. Retentions of dry matter, crude protein, ether extract, calcium and metabolisable energy were adversely affected at various levels of AFB1 compared to control. 6. Pathoanatomical and histopathological studies showed various adverse changes in liver, kidney, heart, ovaries and bursa of Fabricius in AFB1-fed groups. 7. Different amounts of aflatoxin residues were detected in eggs and breast muscles of hen in all AFB1-fed groups.
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Affiliation(s)
- I Pandey
- Department of Animal Nutrition, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttaranchal, India.
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