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Yousuf S, Choudhary S, Choudhary RK, Buragohain L, Barman NN, Kumar S, Malik YS. Development of a Novel Duplex qPCR-HRM Assay for Rapid Detection of African Swine Fever Virus in Pigs. Indian J Microbiol 2025. [DOI: 10.1007/s12088-025-01454-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Accepted: 01/13/2025] [Indexed: 03/03/2025] Open
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Modise-Tlotleng BM, Mpoloka SW, Settypalli TBK, Hyera J, Kgotlele T, Kumile K, Sechele ME, Raboloko OO, Marobela-Raborokgwe C, Viljoen GJ, Cattoli G, Lamien CE. Molecular Testing of Zoonotic Bacteria in Cattle, Sheep, and Goat Abortion Cases in Botswana. Microorganisms 2024; 12:2644. [PMID: 39770846 PMCID: PMC11728289 DOI: 10.3390/microorganisms12122644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 11/20/2024] [Accepted: 11/21/2024] [Indexed: 01/16/2025] Open
Abstract
Abortion is one of the major causes of economic losses in livestock production worldwide. Because several factors can lead to abortion in cattle, sheep and goats, laboratory diagnosis, including the molecular detection of pathogens causing abortion, is often necessary. Bacterial zoonotic diseases such as brucellosis, coxiellosis, leptospirosis, and listeriosis have been implicated in livestock abortion, but they are under diagnosed and under-reported in most developing countries, including Botswana. This study applied a recently developed multiplex high-resolution melting analysis technique, coupled with singleplex qPCR assays, to investigate abortions in livestock in Botswana, using 152 samples from cattle, sheep, and goat abortion cases. Brucella spp. were the most frequent pathogen detected, with an overall frequency of 21.1%, followed by Coxiella burnetii with 19.1%. Listeria monocytogenes and Leptospira spp. were not detected in any of specimens samples investigated. Mixed infections with Brucella spp. and C. burnetii were observed in 35% specimes examined. There was a good agreement between the multiplex qPCR-HRM and singleplex qPCR for detecting Brucella spp. and C. burnetii. This study is the first report on the syndromic testing of abortion-causing pathogens in Botswana. It shows the importance of molecular methods in the differential diagnosis of abortion-causing diseases in domestic ruminants.
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Affiliation(s)
- Boitumelo M. Modise-Tlotleng
- National Agricultural Research and Development Institute, Private Bag 0035, Gaborone, Botswana; (B.M.M.-T.); (T.K.); (K.K.)
- Department of Biological Sciences, University of Botswana, Private Bag 00704, Gaborone, Botswana;
| | - Sununguko W. Mpoloka
- Department of Biological Sciences, University of Botswana, Private Bag 00704, Gaborone, Botswana;
| | - Tirumala B. K. Settypalli
- Animal Production and Health Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Wagramer Strasse 5, P.O. Box 100, 1400 Vienna, Austria; (T.B.K.S.); (G.J.V.)
| | - Joseph Hyera
- Botswana Vaccine Institute, Private Bag 0031, Gaborone, Botswana;
| | - Tebogo Kgotlele
- National Agricultural Research and Development Institute, Private Bag 0035, Gaborone, Botswana; (B.M.M.-T.); (T.K.); (K.K.)
| | - Kago Kumile
- National Agricultural Research and Development Institute, Private Bag 0035, Gaborone, Botswana; (B.M.M.-T.); (T.K.); (K.K.)
| | - Mosarwa E. Sechele
- Department of Veterinary Services (DVS), Ministry of Agriculture, Private Bag 0032, Gaborone, Botswana; (M.E.S.); (O.O.R.); (C.M.-R.)
| | - Obuile O. Raboloko
- Department of Veterinary Services (DVS), Ministry of Agriculture, Private Bag 0032, Gaborone, Botswana; (M.E.S.); (O.O.R.); (C.M.-R.)
| | - Chandapiwa Marobela-Raborokgwe
- Department of Veterinary Services (DVS), Ministry of Agriculture, Private Bag 0032, Gaborone, Botswana; (M.E.S.); (O.O.R.); (C.M.-R.)
| | - Gerrit J. Viljoen
- Animal Production and Health Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Wagramer Strasse 5, P.O. Box 100, 1400 Vienna, Austria; (T.B.K.S.); (G.J.V.)
| | - Giovanni Cattoli
- Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell’Università 10, 35020 Legnaro, Italy;
| | - Charles E. Lamien
- Animal Production and Health Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Wagramer Strasse 5, P.O. Box 100, 1400 Vienna, Austria; (T.B.K.S.); (G.J.V.)
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Gouvias I, Lysitsas M, Batsidis A, Malefaki S, Bitchava D, Tsara A, Nickovic E, Bouzalas I, Malissiova E, Guatteo R, Valiakos G. Molecular Investigation of Small Ruminant Abortions Using a 10-Plex HRM-qPCR Technique: A Novel Approach in Routine Diagnostics. Microorganisms 2024; 12:1675. [PMID: 39203517 PMCID: PMC11356958 DOI: 10.3390/microorganisms12081675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 08/04/2024] [Accepted: 08/13/2024] [Indexed: 09/03/2024] Open
Abstract
The objective of this study was to apply and preliminarily evaluate a High-Resolution Melting (HRM) analysis technique coupled with qPCR, that allows the simultaneous detection of 10 different ruminant abortogenic pathogens, for investigating abortions in sheep and goats throughout Greece. A total of 264 ovine and caprine vaginal swabs were obtained the week following the abortion from aborted females and analyzed using a commercially available kit (ID Gene™ Ruminant Abortion Multiplex HRM, Innovative Diagnostics). Results indicated a high prevalence of Coxiella burnetii and Chlamydophila spp., which were detected in 48.9% and 42.4% of the vaginal swabs, respectively. Results for these most commonly detected pathogens were compared with those of a well-established commercial qPCR kit, with near-perfect agreement. Toxoplasma gondii, Salmonella spp., Brucella spp., Anaplasma phagocytophilum, Campylobacter fetus, and Neospora caninum were also identified, the two latter reported for the first time in the country in small ruminants. Mixed infections occurred in 35.6% of the animals examined. This technique allows for the simultaneous detection of many abortogenic pathogens in an accurate and cost-effective assay. Detection of uncommon or not previously reported pathogens in various cases indicates that their role in ovine and caprine abortions may be underestimated.
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Affiliation(s)
- Ioannis Gouvias
- Faculty of Veterinary Science, University of Thessaly, 43100 Karditsa, Greece; (I.G.); (M.L.); (E.N.)
| | - Marios Lysitsas
- Faculty of Veterinary Science, University of Thessaly, 43100 Karditsa, Greece; (I.G.); (M.L.); (E.N.)
| | - Apostolos Batsidis
- Department of Mathematics, University of Ioannina, 45110 Ioannina, Greece;
| | - Sonia Malefaki
- Department of Mechanical Engineering and Aeronautics, University of Patras, 26500 Rion-Patras, Greece;
| | - Dimitra Bitchava
- Vet in Progress Plus, Veterinary Laboratories, 15343 Athens, Greece; (D.B.); (A.T.)
| | - Anna Tsara
- Vet in Progress Plus, Veterinary Laboratories, 15343 Athens, Greece; (D.B.); (A.T.)
| | - Emilija Nickovic
- Faculty of Veterinary Science, University of Thessaly, 43100 Karditsa, Greece; (I.G.); (M.L.); (E.N.)
- Faculty of Veterinary Medicine, University of Belgrade, Bul. Oslobodjenja 18, 11000 Belgrade, Serbia
| | - Ilias Bouzalas
- Veterinary Research Institute, Hellenic Agricultural Organization DIMITRA (ELGO-DIMITRA), Campus Thermi, 57001 Thessaloniki, Greece;
| | - Eleni Malissiova
- Food of Animal Origin Laboratory, Animal Science Department, University of Thessaly, 41500 Larissa, Greece;
| | | | - George Valiakos
- Faculty of Veterinary Science, University of Thessaly, 43100 Karditsa, Greece; (I.G.); (M.L.); (E.N.)
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Hu Y, Li X, Chen X, Wang S, Cao L, Zhang H, Zhang Y, Wang Z, Yu B, Tong P, Zhou Q, Niu F, Yang W, Zhang W, Chen S, Yang Q, Shen T, Zhang P, Zhang Y, Miao J, Lin H, Wang J, Wang L, Ma X, Liu H, Stambler I, Bai L, Liu H, Jing Y, Liu G, Wang X, Wang D, Shi Z, Zhao RC, Su J. Expert consensus on Prospective Precision Diagnosis and Treatment Strategies for Osteoporotic Fractures. Aging Dis 2024; 16:AD.2023.1223. [PMID: 38502589 PMCID: PMC11745450 DOI: 10.14336/ad.2023.1223] [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: 10/25/2023] [Accepted: 12/23/2023] [Indexed: 03/21/2024] Open
Abstract
Osteoporotic fractures are the most severe complications of osteoporosis, characterized by poor bone quality, difficult realignment and fixation, slow fracture healing, and a high risk of recurrence. Clinically managing these fractures is relatively challenging, and in the context of rapid aging, they pose significant social hazards. The rapid advancement of disciplines such as biophysics and biochemistry brings new opportunities for future medical diagnosis and treatment. However, there has been limited attention to precision diagnosis and treatment strategies for osteoporotic fractures both domestically and internationally. In response to this, the Chinese Medical Association Orthopaedic Branch Youth Osteoporosis Group, Chinese Geriatrics Society Geriatric Orthopaedics Committee, Chinese Medical Doctor Association Orthopaedic Physicians Branch Youth Committee Osteoporosis Group, and Shanghai Association of Integrated Traditional Chinese and Western Medicine Osteoporosis Professional Committee have collaborated to develop this consensus. It aims to elucidate emerging technologies that may play a pivotal role in both diagnosis and treatment, advocating for clinicians to embrace interdisciplinary approaches and incorporate these new technologies into their practice. Ultimately, the goal is to improve the prognosis and quality of life for elderly patients with osteoporotic fractures.
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Affiliation(s)
- Yan Hu
- Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Xiaoqun Li
- First Affiliated Hospital of Naval Medical University, Shanghai, China.
| | - Xiao Chen
- Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | | | - Liehu Cao
- Luodian Hospital, Baoshan District, Shanghai, China.
| | - Hao Zhang
- Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Yunfei Zhang
- Tangdu Hospital Air Force Medical University, Xi’an, China.
| | - Zhiwei Wang
- Eastern Hepatobiliary Surgery Hospital, Shanghai, China.
| | - Baoqing Yu
- Shanghai Pudong New Area People’s Hospital, Shanghai, China.
| | - Peijian Tong
- Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, China.
| | - Qiang Zhou
- Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Feng Niu
- First Bethune Hospital of Jilin University, Changchun, China.
| | - Weiguo Yang
- HKU Li Ka Shing Faculty of Medicine, Hongkong, China.
| | - Wencai Zhang
- First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Shijie Chen
- Third Xiangya Hospital of Central South University, Changsha, China.
| | | | - Tao Shen
- Shengjing Hospital of Chinese Medical University, Shenyang, China.
| | - Peng Zhang
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
| | - Yong Zhang
- Tangdu Hospital Air Force Medical University, Xi’an, China.
| | - Jun Miao
- Tianjin Hospital, Tianjin, China.
| | | | - Jinwu Wang
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Lei Wang
- Ruijin Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xin Ma
- Sixth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China.
| | - Hongjian Liu
- First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Ilia Stambler
- Department of Science, Technology and Society, Bar Ilan University, Ramat Gan, Israel.
- International Society on Aging and Disease, Bryan, TX, USA.
| | - Long Bai
- Institute of Translational Medicine, Shanghai University, Shanghai, China.
| | - Han Liu
- Institute of Translational Medicine, Shanghai University, Shanghai, China.
| | - Yingying Jing
- Institute of Translational Medicine, Shanghai University, Shanghai, China.
| | - Guohui Liu
- Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Xinglong Wang
- Department of Pharmacology & Toxicology, University of Arizona, Tucson, USA.
| | - Dongliang Wang
- Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Zhongmin Shi
- Sixth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China.
| | - Robert Chunhua Zhao
- International Society on Aging and Disease, Bryan, TX, USA.
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
| | - Jiacan Su
- Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Institute of Translational Medicine, Shanghai University, Shanghai, China.
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Zhang L, Guo W, Lv C. Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases. SCIENCE IN ONE HEALTH 2023; 3:100061. [PMID: 39077381 PMCID: PMC11262286 DOI: 10.1016/j.soh.2023.100061] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/29/2023] [Indexed: 07/31/2024]
Abstract
Background Zoonotic diseases originating in animals pose a significant threat to global public health. Recent outbreaks, such as coronavirus disease 2019 (COVID-19), have caused widespread illness, death, and socioeconomic disruptions worldwide. To cope with these diseases effectively, it is crucial to strengthen surveillance capabilities and establish rapid response systems. Aim The aim of this review to examine the modern technologies and solutions that have the potential to enhance zoonotic disease surveillance and outbreak responses and provide valuable insights into how cutting-edge innovations could be leveraged to prevent, detect, and control emerging zoonotic disease outbreaks. Herein, we discuss advanced tools including big data analytics, artificial intelligence, the Internet of Things, geographic information systems, remote sensing, molecular diagnostics, point-of-care testing, telemedicine, digital contact tracing, and early warning systems. Results These technologies enable real-time monitoring, the prediction of outbreak risks, early anomaly detection, rapid diagnosis, and targeted interventions during outbreaks. When integrated through collaborative partnerships, these strategies can significantly improve the speed and effectiveness of zoonotic disease control. However, several challenges persist, particularly in resource-limited settings, such as infrastructure limitations, costs, data integration and training requirements, and ethical implementation. Conclusion With strategic planning and coordinated efforts, modern technologies and solutions offer immense potential to bolster surveillance and outbreak responses, and serve as a critical resource against emerging zoonotic disease threats worldwide.
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Affiliation(s)
- Li Zhang
- Huazhong Agricultural University, Wuhan 430070, China
| | - Wenqiang Guo
- Huazhong Agricultural University, Wuhan 430070, China
| | - Chenrui Lv
- Huazhong Agricultural University, Wuhan 430070, China
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