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Genes2020; 11(4); 457; doi: 10.3390/genes11040457

Microfluidic Quantitative PCR Detection of 12 Transgenes from Horse Plasma for Gene Doping Control.

Abstract: Gene doping, an activity which abuses and misuses gene therapy, is a major concern in sports and horseracing industries. Effective methods capable of detecting and monitoring gene doping are urgently needed. Although several PCR-based methods that detect transgenes have been developed, many of them focus only on a single transgene. However, numerous genes associated with athletic ability may be potential gene-doping material. Here, we developed a detection method that targets multiple transgenes. We targeted 12 genes that may be associated with athletic performance and designed two TaqMan probe/primer sets for each one. A panel of 24 assays was prepared and detected via a microfluidic quantitative PCR (MFQPCR) system using integrated fluidic circuits (IFCs). The limit of detection of the panel was 6.25 copy/μL. Amplification-specificity was validated using several concentrations of reference materials and animal genomic DNA, leading to specific detection. In addition, target-specific detection was successfully achieved in a horse administered 20 mg of the transgene via MFQPCR. Therefore, MFQPCR may be considered a suitable method for multiple-target detection in gene-doping control. To our knowledge, this is the first application of microfluidic qPCR (MFQPCR) for gene-doping control in horseracing.
Publication Date: 2020-04-23 PubMed ID: 32340130PubMed Central: PMC7230449DOI: 10.3390/genes11040457Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research proposes a new method for detecting gene doping in horses, focusing on detecting 12 transgenes related to athletic performance using a microfluidic quantitative PCR (MFQPCR) system. Traditional methods usually target only a single transgene.

Use of Microfluidic Quantitative PCR for Detection of Gene Doping

  • The researchers aim to address the need for effective detection of gene doping, which involves abusing gene therapy to enhance athletic ability, in particular, in horseracing.
  • Existing PCR-based methods typically target only one transgene, but with various genes potentially linked to athletic performance, the researchers decided to design a method that targets multiple transgenes.
  • They used a microfluidic quantitative PCR system, which enables rapid quantitative PCR on a tiny scale, to build a detection method for multiple gene targets.

Selection of Target Genes and Assay Preparation

  • Twelve genes which potentially influence athletic performance were selected as targets. Then, two TaqMan probe/primer sets were designed for each of these genes. TaqMan probe is a kind of oligonucleotide used in real-time PCR for DNA sequence detection.
  • A panel of 24 assays was created to carry out the detection on an integrated fluidic circuits (IFCs) platform. IFCs allow for precise handling and control of fluids in micro scaled volumes around the nanoliter scale. This technology is instrumental for microfluidic devices.

Test Sensitivity and Validity

  • The proposed detection panel can identify up to 6.25 copies/μL, providing a sensitive method of detection.
  • Multiple concentrations of reference materials and animal genomic DNA were used to validate the amplification-specificity of the test panel, leading to specific detection of each targeted gene.

Practical Application and Potential

  • The MFQPCR method successfully detected specific genes in a horse that was administrated 20 mg of the transgene. This suggests that this method can be applied in real-world scenarios for gene doping control amongst horses.
  • This is reportedly the first time MFQPCR has been used for gene doping control in horse racing, opening up new possibilities for the control and detection of gene doping in this field.

Cite This Article

APA
Tozaki T, Ohnuma A, Kikuchi M, Ishige T, Kakoi H, Hirota KI, Kusano K, Nagata SI. (2020). Microfluidic Quantitative PCR Detection of 12 Transgenes from Horse Plasma for Gene Doping Control. Genes (Basel), 11(4), 457. https://doi.org/10.3390/genes11040457

Publication

ISSN: 2073-4425
NlmUniqueID: 101551097
Country: Switzerland
Language: English
Volume: 11
Issue: 4
PII: 457

Researcher Affiliations

Tozaki, Teruaki
  • Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi 320-0851, Japan.
Ohnuma, Aoi
  • Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi 320-0851, Japan.
Kikuchi, Mio
  • Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi 320-0851, Japan.
Ishige, Taichiro
  • Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi 320-0851, Japan.
Kakoi, Hironaga
  • Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi 320-0851, Japan.
Hirota, Kei-Ichi
  • Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi 320-0851, Japan.
Kusano, Kanichi
  • Equine Department, Japan Racing Association, 6-11-1 Roppongi, Minato, Tokyo 106-8401, Japan.
Nagata, Shun-Ichi
  • Genetic Analysis Department, Laboratory of Racing Chemistry, 1731-2 Tsurutamachi, Utsunomiya, Tochigi 320-0851, Japan.

MeSH Terms

  • Animals
  • Athletic Performance
  • Doping in Sports / methods
  • Doping in Sports / prevention & control
  • Erythropoietin / blood
  • Erythropoietin / genetics
  • Horses
  • Male
  • Microfluidics / methods
  • Real-Time Polymerase Chain Reaction / methods
  • Transgenes

Conflict of Interest Statement

There are no competing interests including patents, products in development or marketed products to declare in relationship to this work.

References

This article includes 34 references
  1. Wong JK, Wan TS. Doping control analyses in horseracing: a clinician's guide.. Vet J 2014 Apr;200(1):8-16.
    doi: 10.1016/j.tvjl.2014.01.006pubmed: 24485918google scholar: lookup
  2. Eenoo PV, Delbeke FT. Detection of inhaled salbutamol in equine urine by ELISA and GC/MS2.. Biomed Chromatogr 2002 Dec;16(8):513-6.
    doi: 10.1002/bmc.194pubmed: 12474214google scholar: lookup
  3. Wong CH, Leung DK, Tang FP, Wong JK, Yu NH, Wan TS. Rapid screening of anabolic steroids in horse urine with ultra-high-performance liquid chromatography/tandem mass spectrometry after chemical derivatisation.. J Chromatogr A 2012 Apr 6;1232:257-65.
    doi: 10.1016/j.chroma.2011.12.095pubmed: 22265177google scholar: lookup
  4. Kovac M, Litvin YA, Aliev RO, Zakirova EY, Rutland CS, Kiyasov AP, Rizvanov AA. Gene Therapy Using Plasmid DNA Encoding VEGF164 and FGF2 Genes: A Novel Treatment of Naturally Occurring Tendinitis and Desmitis in Horses.. Front Pharmacol 2018;9:978.
    doi: 10.3389/fphar.2018.00978pmc: PMC6127648pubmed: 30233367google scholar: lookup
  5. Ishihara A, Shields KM, Litsky AS, Mattoon JS, Weisbrode SE, Bartlett JS, Bertone AL. Osteogenic gene regulation and relative acceleration of healing by adenoviral-mediated transfer of human BMP-2 or -6 in equine osteotomy and ostectomy models.. J Orthop Res 2008 Jun;26(6):764-71.
    doi: 10.1002/jor.20585pubmed: 18241059google scholar: lookup
  6. Moss KL, Jiang Z, Dodson ME, Linardi RL, Haughan J, Gale AL, Grzybowski C, Engiles JE, Stefanovski D, Robinson MA, Ortved KF. Sustained Interleukin-10 Transgene Expression Following Intra-Articular AAV5-IL-10 Administration to Horses.. Hum Gene Ther 2020 Jan;31(1-2):110-118.
    doi: 10.1089/hum.2019.195pubmed: 31773987google scholar: lookup
  7. Nathwani AC, Davidoff AM, Tuddenham EGD. Gene Therapy for Hemophilia.. Hematol Oncol Clin North Am 2017 Oct;31(5):853-868.
    doi: 10.1016/j.hoc.2017.06.011pubmed: 28895852google scholar: lookup
  8. Kokkinos J, Ignacio RMC, Sharbeen G, Boyer C, Gonzales-Aloy E, Goldstein D, Australian Pancreatic Cancer Genome Initiative Apgi, McCarroll JA, Phillips PA. Targeting the undruggable in pancreatic cancer using nano-based gene silencing drugs.. Biomaterials 2020 May;240:119742.
  9. Skipper KA, Mikkelsen JG. Toward In Vivo Gene Therapy Using CRISPR.. Methods Mol Biol 2019;1961:293-306.
    pubmed: 30912053doi: 10.1007/978-1-4939-9170-9_18google scholar: lookup
  10. Wilkin T, Baoutina A, Hamilton N. Equine performance genes and the future of doping in horseracing.. Drug Test Anal 2017 Sep;9(9):1456-1471.
    doi: 10.1002/dta.2198pubmed: 28349656google scholar: lookup
  11. Tozaki T, Karasawa K, Minamijima Y, Ishii H, Kikuchi M, Kakoi H, Hirota KI, Kusano K, Nagata SI. Detection of phosphorothioated (PS) oligonucleotides in horse plasma using a product ion (m/z 94.9362) derived from the PS moiety for doping control.. BMC Res Notes 2018 Oct 29;11(1):770.
    doi: 10.1186/s13104-018-3885-5pmc: PMC6206624pubmed: 30373660google scholar: lookup
  12. Neuberger EW, Perez I, Le Guiner C, Moser D, Ehlert T, Allais M, Moullier P, Simon P, Snyder RO. Establishment of two quantitative nested qPCR assays targeting the human EPO transgene.. Gene Ther 2016 Apr;23(4):330-9.
    doi: 10.1038/gt.2016.2pubmed: 26752352google scholar: lookup
  13. Perez IC, Le Guiner C, Ni W, Lyles J, Moullier P, Snyder RO. PCR-based detection of gene transfer vectors: application to gene doping surveillance.. Anal Bioanal Chem 2013 Dec;405(30):9641-53.
    doi: 10.1007/s00216-013-7264-8pubmed: 23912835google scholar: lookup
  14. Sugasawa T, Aoki K, Watanabe K, Yanazawa K, Natsume T, Takemasa T, Yamaguchi K, Takeuchi Y, Aita Y, Yahagi N, Yoshida Y, Tokinoya K, Sekine N, Takeuchi K, Ueda H, Kawakami Y, Shimizu S, Takekoshi K. Detection of Transgenes in Gene Delivery Model Mice by Adenoviral Vector Using ddPCR.. Genes (Basel) 2019 Jun 8;10(6).
    doi: 10.3390/genes10060436pmc: PMC6627169pubmed: 31181711google scholar: lookup
  15. Tozaki T, Gamo S, Takasu M, Kikuchi M, Kakoi H, Hirota KI, Kusano K, Nagata SI. Digital PCR detection of plasmid DNA administered to the skeletal muscle of a microminipig: a model case study for gene doping detection.. BMC Res Notes 2018 Oct 10;11(1):708.
    doi: 10.1186/s13104-018-3815-6pmc: PMC6180624pubmed: 30309394google scholar: lookup
  16. Tozaki T, Ohnuma A, Takasu M, Kikuchi M, Kakoi H, Hirota KI, Kusano K, Nagata SI. Droplet Digital PCR Detection of the Erythropoietin Transgene from Horse Plasma and Urine for Gene-Doping Control.. Genes (Basel) 2019 Mar 21;10(3).
    doi: 10.3390/genes10030243pmc: PMC6471249pubmed: 30901981google scholar: lookup
  17. Zhang JJ, Xu JF, Shen YW, Ma SJ, Zhang TT, Meng QL, Lan WJ, Zhang C, Liu XM. Detection of exogenous gene doping of IGF-I by a real-time quantitative PCR assay.. Biotechnol Appl Biochem 2017 Jul;64(4):549-554.
    doi: 10.1002/bab.1518pubmed: 27301870google scholar: lookup
  18. de Boer EN, van der Wouden PE, Johansson LF, van Diemen CC, Haisma HJ. A next-generation sequencing method for gene doping detection that distinguishes low levels of plasmid DNA against a background of genomic DNA.. Gene Ther 2019 Aug;26(7-8):338-346.
    doi: 10.1038/s41434-019-0091-6pmc: PMC6760532pubmed: 31296934google scholar: lookup
  19. Ishii S, Segawa T, Okabe S. Simultaneous quantification of multiple food- and waterborne pathogens by use of microfluidic quantitative PCR.. Appl Environ Microbiol 2013 May;79(9):2891-8.
    doi: 10.1128/AEM.00205-13pmc: PMC3623133pubmed: 23435884google scholar: lookup
  20. Echegaray M, Rivera MA. Role of creatine kinase isoenzymes on muscular and cardiorespiratory endurance: genetic and molecular evidence.. Sports Med 2001;31(13):919-34.
  21. Latorre-Muro P, Baeza J, Armstrong EA, Hurtado-Guerrero R, Corzana F, Wu LE, Sinclair DA, López-Buesa P, Carrodeguas JA, Denu JM. Dynamic Acetylation of Phosphoenolpyruvate Carboxykinase Toggles Enzyme Activity between Gluconeogenic and Anaplerotic Reactions.. Mol Cell 2018 Sep 6;71(5):718-732.e9.
  22. Connaughton S, Chowdhury F, Attia RR, Song S, Zhang Y, Elam MB, Cook GA, Park EA. Regulation of pyruvate dehydrogenase kinase isoform 4 (PDK4) gene expression by glucocorticoids and insulin.. Mol Cell Endocrinol 2010 Feb 5;315(1-2):159-67.
    doi: 10.1016/j.mce.2009.08.011pmc: PMC2815206pubmed: 19703515google scholar: lookup
  23. Liu Y, Colby JK, Zuo X, Jaoude J, Wei D, Shureiqi I. The Role of PPAR-δ in Metabolism, Inflammation, and Cancer: Many Characters of a Critical Transcription Factor.. Int J Mol Sci 2018 Oct 26;19(11).
    doi: 10.3390/ijms19113339pmc: PMC6275063pubmed: 30373124google scholar: lookup
  24. Rodriguez S, Gaunt TR, Day IN. Molecular genetics of human growth hormone, insulin-like growth factors and their pathways in common disease.. Hum Genet 2007 Aug;122(1):1-21.
    doi: 10.1007/s00439-007-0378-3pubmed: 17534663google scholar: lookup
  25. Juul S, Felderhoff-Mueser U. Epo and other hematopoietic factors.. Semin Fetal Neonatal Med 2007 Aug;12(4):250-8.
    doi: 10.1016/j.siny.2007.01.015pmc: PMC2018740pubmed: 17321813google scholar: lookup
  26. Moser DA, Neuberger EW, Simon P. A quick one-tube nested PCR-protocol for EPO transgene detection.. Drug Test Anal 2012 Nov;4(11):870-5.
    doi: 10.1002/dta.1348pubmed: 22539489google scholar: lookup
  27. Lee SJ, Lee YS, Zimmers TA, Soleimani A, Matzuk MM, Tsuchida K, Cohn RD, Barton ER. Regulation of muscle mass by follistatin and activins.. Mol Endocrinol 2010 Oct;24(10):1998-2008.
    doi: 10.1210/me.2010-0127pmc: PMC2954636pubmed: 20810712google scholar: lookup
  28. Tozaki T, Kikuchi M, Kakoi H, Hirota KI, Nagata SI. A genome-wide association study for body weight in Japanese Thoroughbred racehorses clarifies candidate regions on chromosomes 3, 9, 15, and 18.. J Equine Sci 2017;28(4):127-134.
    doi: 10.1294/jes.28.127pmc: PMC5735309pubmed: 29270069google scholar: lookup
  29. Gu J, MacHugh DE, McGivney BA, Park SD, Katz LM, Hill EW. Association of sequence variants in CKM (creatine kinase, muscle) and COX4I2 (cytochrome c oxidase, subunit 4, isoform 2) genes with racing performance in Thoroughbred horses.. Equine Vet J Suppl 2010 Nov;(38):569-75.
  30. Hill EW, Gu J, Eivers SS, Fonseca RG, McGivney BA, Govindarajan P, Orr N, Katz LM, MacHugh DE. A sequence polymorphism in MSTN predicts sprinting ability and racing stamina in thoroughbred horses.. PLoS One 2010 Jan 20;5(1):e8645.
  31. Tozaki T, Miyake T, Kakoi H, Gawahara H, Sugita S, Hasegawa T, Ishida N, Hirota K, Nakano Y. A genome-wide association study for racing performances in Thoroughbreds clarifies a candidate region near the MSTN gene.. Anim Genet 2010 Dec;41 Suppl 2:28-35.
  32. Tozaki T, Hill EW, Hirota K, Kakoi H, Gawahara H, Miyake T, Sugita S, Hasegawa T, Ishida N, Nakano Y, Kurosawa M. A cohort study of racing performance in Japanese Thoroughbred racehorses using genome information on ECA18.. Anim Genet 2012 Feb;43(1):42-52.
  33. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Blöcker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MC, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Røed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvänen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Lander ES, Lindblad-Toh K. Genome sequence, comparative analysis, and population genetics of the domestic horse.. Science 2009 Nov 6;326(5954):865-7.
    doi: 10.1126/science.1178158pmc: PMC3785132pubmed: 19892987google scholar: lookup
  34. Sarzynski MA, Loos RJ, Lucia A, Pérusse L, Roth SM, Wolfarth B, Rankinen T, Bouchard C. Advances in Exercise, Fitness, and Performance Genomics in 2015.. Med Sci Sports Exerc 2016 Oct;48(10):1906-16.
    doi: 10.1249/MSS.0000000000000982pubmed: 27183119google scholar: lookup

Citations

This article has been cited 8 times.
  1. Tozaki T, Ohnuma A, Kikuchi M, Ishige T, Kakoi H, Hirota KI, Takahashi Y, Nagata SI. Investigation of optimal procedures for storage and use of plasma samples suitable for gene doping tests.. J Equine Sci 2023 Jun;34(2):21-27.
    doi: 10.1294/jes.34.21pubmed: 37405066google scholar: lookup
  2. Tozaki T, Ohnuma A, Kikuchi M, Ishige T, Kakoi H, Hirota KI, Takahashi Y, Nagata SI. Short Insertion and Deletion Discoveries via Whole-Genome Sequencing of 101 Thoroughbred Racehorses.. Genes (Basel) 2023 Mar 3;14(3).
    doi: 10.3390/genes14030638pubmed: 36980910google scholar: lookup
  3. Tozaki T, Ohnuma A, Nakamura K, Hano K, Takasu M, Takahashi Y, Tamura N, Sato F, Shimizu K, Kikuchi M, Ishige T, Kakoi H, Hirota KI, Hamilton NA, Nagata SI. Detection of Indiscriminate Genetic Manipulation in Thoroughbred Racehorses by Targeted Resequencing for Gene-Doping Control.. Genes (Basel) 2022 Sep 4;13(9).
    doi: 10.3390/genes13091589pubmed: 36140757google scholar: lookup
  4. Tozaki T, Ohnuma A, Kikuchi M, Ishige T, Kakoi H, Hirota KI, Kusano K, Nagata SI. Design and storage stability of reference materials for microfluidic quantitative PCR-based equine gene doping tests.. J Equine Sci 2021 Dec;32(4):125-134.
    doi: 10.1294/jes.32.125pubmed: 35023990google scholar: lookup
  5. Dahlgren AR, Knych HK, Arthur RM, Durbin-Johnson BP, Finno CJ. Transcriptomic Markers of Recombinant Human Erythropoietin Micro-Dosing in Thoroughbred Horses.. Genes (Basel) 2021 Nov 24;12(12).
    doi: 10.3390/genes12121874pubmed: 34946824google scholar: lookup
  6. Tozaki T, Ohnuma A, Kikuchi M, Ishige T, Kakoi H, Hirota KI, Kusano K, Nagata SI. Rare and common variant discovery by whole-genome sequencing of 101 Thoroughbred racehorses.. Sci Rep 2021 Aug 6;11(1):16057.
    doi: 10.1038/s41598-021-95669-1pubmed: 34362995google scholar: lookup
  7. Tozaki T, Ohnuma A, Kikuchi M, Ishige T, Kakoi H, Hirota KI, Hamilton NA, Kusano K, Nagata SI. Whole-genome resequencing using genomic DNA extracted from horsehair roots for gene-doping control in horse sports.. J Equine Sci 2020;31(4):75-83.
    doi: 10.1294/jes.31.75pubmed: 33376443google scholar: lookup
  8. Sugasawa T, Aoki K, Yanazawa K, Takekoshi K. Detection of Multiple Transgene Fragments in a Mouse Model of Gene Doping Based on Plasmid Vector Using TaqMan-qPCR Assay.. Genes (Basel) 2020 Jul 6;11(7).
    doi: 10.3390/genes11070750pubmed: 32640671google scholar: lookup