Next Article in Journal
Update of Natural Products and Their Derivatives Targeting Epstein–Barr Infection
Next Article in Special Issue
Hepatitis E Virus Infection in Voluntary Blood Donors in the Russian Federation
Previous Article in Journal
Comparing the Infectivity of Recent SARS-CoV-2 Omicron Sub-Variants in Syrian Hamsters
Previous Article in Special Issue
Serological and Molecular Characterization of Occult HBV Infection in Blood Donors from South Italy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Navigating Evolving Challenges in Blood Safety

by
Mahmoud Reza Pourkarim
1,2,3
1
Laboratory for Clinical and Epidemiological Virology, Rega Institute for Medical Research, Department of Microbiology, Immunology and Transplantation, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
2
Health Policy Research Centre, Institute of Health, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
3
Blood Transfusion Research Centre, High Institute for Research and Education in Transfusion, Tehran 14665-1157, Iran
Viruses 2024, 16(1), 123; https://doi.org/10.3390/v16010123
Submission received: 18 December 2023 / Revised: 11 January 2024 / Accepted: 14 January 2024 / Published: 15 January 2024
(This article belongs to the Special Issue Transfusion & Transplantation Transmitted Viral Infections)
Blood safety remains a paramount public health concern, and health authorities maintain a high level of vigilance to prevent transfusion-transmitted infections (TTIs) [1]. Rigorous policies, including healthy donor selection, pathogen detection, and pathogen reduction in donated blood, are crucial post-donation safety measures [2]. Historically, the universal implementation of enzyme immunoassays marked the first generation of blood screening tests in modern blood banks, significantly reducing the transmission of blood pathogens. This approach played a crucial role in revealing the prevalence of bloodborne pathogens in both general populations and high-risk groups [3]. However, the adoption of nucleic acid tests (NATs) in blood screening units has been transformative, markedly enhancing the specificity and sensitivity of pathogen detection tests [4]. Consequently, the identification of infected donors was dramatically elevated, and the risk of transfusion-transmitted infections (TTIs) significantly decreased [5]. Moreover, molecular techniques have aided in categorizing viral strains into distinct groups and subgroups, providing precise insights into the geographical distribution of circulating bloodborne pathogens [6,7,8,9]. Additionally, the application of these molecular techniques has facilitated the development and production of vaccines and antiviral medications, resulting in a significant decrease in the carrier population of bloodborne pathogens [10]. These improvements have also assisted health authorities in implementing tailored elimination programs for some of these pathogens, customized for each country [11,12,13,14].
In addition to implementing applied strategies for blood safety, it is crucial to have a comprehensive understanding of the epidemiology of bloodborne pathogens and the biotic and abiotic factors that influence it [15,16]. This understanding is essential for delineating the panel of blood screening tests in local blood banks based on the prevalence of bloodborne pathogens in a specific geographical region. It appears that recent global changes are likely to drive a series of challenges and disrupt the longstanding endemic boundaries [17].
Climate change has led to alterations in both temperature and precipitation averages at regional and global levels over the course of several years [18]. As a result of ambient events, such as droughts, flooding, and forest fires, ecosystem conditions and, consequently, their inhabitants have undergone modifications. Human and animal populations are relocating from regions affected by natural disasters and settling in industrialized or often newly deforested locations [19,20,21]. Following this, in the newly opened-up ecosystem, pathogens are adapting to new vectors and intermediate hosts, leading to the emergence of new outbreaks [17,22]. Additionally, travel to or from this newly emerged ecosystem may establish new epidemiological corridors and enhance the dispersal of bloodborne infections [23,24].
Indeed, higher temperatures and increased humidity frequently promote the abundance of vectors [25,26]. Furthermore, the intricate relationship between humidity and temperature, encompassing variations in their levels and durations (increase, decrease, prolongation, and shortening), significantly impacts the winter survival of arthropods [27], which directly speed up the vector–host interaction, the host biting rate, the frequency of pathogen proliferation, and, finally, the life cycle complementation of vector-borne blood pathogens [28,29].
A recent study examining the impact of climate change forecasts on West Nile Virus (WNV) expansion reveals a concerning fivefold increase in the risk of WNV infection in Europe over the coming decade. Remarkably, Western Europe could potentially face significant outbreaks, irrespective of the extent of climate change [30]. Additionally, the same modeling predicts more frequent outbreaks of the dengue virus in the future in Pakistan [31].
Public health interventions traditionally focus on vector control. However, natural disasters significantly impact these measures, exposing humans to vectors. To address this, it is crucial for blood bank authorities to establish an intelligent surveillance system that includes a risk assessment of bloodborne pathogens, accounting for local climate variables. This system, relying on environmental parameters, can assess the risk of bloodborne infections in specific geographical areas and accordingly update the blood screening assay panel. Drawing from lessons learned in recent pandemics, a preparedness program can assist in preventing or responding to pathogen outbreaks caused by climate change. An investigation of pathogen traces in sewage, a valuable lesson from the COVID-19 pandemic, has led to the establishment of a surveillance system for various threatening pathogens [32].
Human mobility, animal trades, and migrations fall under the second category of challenges in the field of transfusion medicine. These activities have expedited the relocation and dissemination of pathogens and their associated vectors more rapidly and efficiently than in the past [33]. Historically, political or economic instabilities and, more recently, domestic conflicts, regional violence, and persecution, plus natural disasters, have served as “push factors”, compelling populations to immigrate and seek new opportunities in more developed countries. In many cases, immigrants originate from geographical areas that are endemic for certain communicable diseases or where the prevalence of infectious diseases is significantly higher than in the destination countries [34,35,36,37]. It is worth noting that, for various reasons, individuals in these populations have limited access to health services, including screening, vaccination, and appropriate treatment. Moreover, the prolonged process of immigration can heighten the risk of infectious disease outbreaks among these marginalized populations, potentially impacting the prevalence of specific infectious diseases in the destination areas [38,39,40,41]. Several studies have demonstrated a notable prevalence of bloodborne diseases, including neglected tropical diseases, within these communities. It is imperative to establish a healthcare system to provide essential healthcare amenities for these populations [42,43]. Establishing a protective system at immigrant reception camps, involving the identification of infected individuals, treatment, screenings, and subsequent vaccinations, could contribute significantly to mitigating potential threats to blood safety [44].
The third challenge to blood safety stands distinct from the two aforementioned challenges. Based on a provided list of bloodborne pathogens by the American Association of Blood Banks (AABB), a total of 68 microorganisms have been identified that can be transmitted through blood and blood products [45]. However, unexpected bloodborne pathogens and emerging infectious disease (EID) agents remain significant concerns for blood safety. Dengue virus, Chikungunya virus, and, most recently, Zika virus are examples of recently emerged infectious diseases [46]. This highlights an urgent need for innovative strategies or techniques in the surveillance and discovery of previously unforeseen and potentially harmful pathogens that could jeopardize blood transfusion safety. This urgency has been effectively addressed by the high-throughput sequencing technique (HTS).
The capacity of HTS, particularly next-generation sequencing (NGS), to sequence the complete metagenome of biological samples has revolutionized the diagnostic field. Furthermore, this technique, coupled with other advanced disciplines, such as proteomics, transcriptomics, and metabolomics, and integrated with computational methodologies, is applied to detect and investigate all microorganisms at their community levels [47,48]. This technique has been extensively employed to spotlight the microbiome, particularly the bacteriome, in various ecological niches of the human body, with a particular emphasis on the human gut. The discovery of numerous associations between gastrointestinal, skin, or vaginal bacteria (microbiome) and a variety of illnesses is a direct outcome of the deployment of this technique in clinical investigations [49]. Viral communities, referred to as the virome in these body compartments, exert an indirect influence on these associations by impacting bacterial populations, either increasing or decreasing them [50]. However, armed with NGS, the human microbiome project (HMP) has primarily focused on the bacteriome.
NGS has added significant value to diagnostic virology by identifying minor or major viral populations in various ecological niches of animals, insects, or human bodies. This has addressed the hidden threat of unanticipated viruses in different human illnesses. The introduction of astrovirus MLB2 as the cause of febrile disease and meningitis [51,52], the identification of a new Bunyavirales virus as the cause of thrombocytopenia and leukopenia illness in China [53], the association of novel rhabdoviruses with acute hemorrhagic fever [54], and the identification of polyomavirus as the etiologic agent for human Merkel cell carcinoma [55] are a few instances showcasing the remarkable impact of this technology in clinical virology. In light of these accomplishments, the identification and characterization of viral swarms present in the blood (blood virome) represent another intriguing facet of the application of NGS.
NGS allows for a comprehensive exploration of the entire viral landscape in blood. While we previously believed blood to be sterile, recent studies have estimated the presence of approximately 105 viral particles per milliliter [56]. By using NGS, Giant Blood Marseillevirus, human pegivirus 1 (HpgV-1), papillomavirus, and gemycircularvirus, as well as members of Picornaviridae, Circovirdae, and Astroviridae, could be detected in the blood stream [57,58,59,60,61]. Furthermore, through the application of this method, endogenous retroviruses, which are linked to several neurological, inflammatory, and infectious diseases, become detectable in the bloodstream [62,63,64,65]. Additionally, by relying on NGS, the translocation of prokaryotic viruses from the gut to the blood in certain pathological disorders has been traced [66]. The significance of the blood virome is underscored by the fact that, unlike other body compartments, blood is a systematically closed tissue. It lacks connections to the external environment and does not harbor commensal bacteria. Therefore, commensal viruses in the blood, such as HpgV and Anelloviruses, can directly interact with host cells. These viruses may influence the clinical outcomes of illnesses, and the clinical treatment of patients can, in turn, impact their population or evolution.
However, similar to the virome composition of other body compartments, the blood virome is susceptible to interventions. It has been demonstrated that the virome plays a pivotal role in human health, and disturbing this community exerts a detrimental impact. Factors such as vaccination, infection, and the administration of therapeutic or immunomodulatory agents, as well as solid or hematopoietic transplantations, have the potential to disrupt the composition of the blood virome [66,67,68]. The modulations induced by these interventions could introduce permanent changes and might lead to various illnesses [69]. Our recent investigation on the most prevalent member of the blood virome, the Anellovirus family, shows that the administration of immunosuppressive agents to liver transplant recipients [70], antiviral therapy in HBV carriers [71], multiple blood transfusions in patients with blood disorder [72], and convalescent plasma therapy in COVID-19 patients [73] has an impact on the conformation of the blood virome. Notably, there is a trace of evidence indicating a potential detrimental effect of certain Anellovirus subgroups in specific conditions, both independently and in co-infection with certain pathogenic viruses [74,75,76]. Although we have not identified a driving role for Anelloviruses, they might not be merely considered bystanders.
To respond to the aforementioned three challenges, we need to establish a new paradigm in transfusion safety. These strategies should simultaneously tackle the challenges posed by global warming and human/animal immigration as potential sources of the emergence or re-emergence of bloodborne pathogens. An urgently needed component is a well-coordinated monitoring system of climate parameters linked to the favorability of pathogens and vectors. This real-time climate-based risk assessment can be complemented by deferring donations from individuals who have recently traveled to newly endemic regions. Additionally, to minimize the perturbations of personalized blood viromes, urging a more sparing use of prescriptions and blood products can be useful.

Funding

The author was funded by the C1 funding from KU Leuven (grant C14/20/109).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Thijssen, M.; Van Ranst, M.; Pourkarim, M.R. Elimination of viral hepatitis and an update on blood safety technology. Hepat. Mon. 2018, 18, e66577. [Google Scholar] [CrossRef]
  2. Jamal, S.; Mansoor, N.; Ali, A.; Nadeem, A.; Aijaz, J.; Meraj, F. Degree of blood safety of voluntary non-remunerated versus replacement blood donations: A multi-centre study of the large cohort of blood donors from two provinces of Pakistan. Vox Sang. 2023, 118, 1078–1085. [Google Scholar] [CrossRef] [PubMed]
  3. Pourkarim, M.; Hajiani, G.R.; Khamisipour, G.R.; Ardeshirdavani, N.; Tahmasebi, R. Seroepidemiological investigation of HTLV I, II infection among Busherian multi-transfused patients in 2003. Sci. J. Iran Blood Transfus Organ 2005, 2, 99–104. [Google Scholar]
  4. Schmidt, M.; Seifried, E. Improving blood donor screening by nucleic acid technology (NAT). ISBT Sci. Ser. 2010, 5, 219–229. [Google Scholar] [CrossRef]
  5. Haass, K.A.; Sapiano, M.R.; Savinkina, A.; Kuehnert, M.J.; Basavaraju, S.V. Transfusion-transmitted infections reported to the national healthcare safety network hemovigilance module. Transfus. Med. Rev. 2019, 33, 84–91. [Google Scholar] [CrossRef]
  6. Fakhr, A.E.; Pourkarim, M.R.; Maes, P.; Atta, A.H.; Marei, A.; Azab, M.; Van Ranst, M. Hepatitis C virus NS5B sequence-based genotyping analysis of patients from the Sharkia Governorate, Egypt. Hepat. Mon. 2013, 13, e12706. [Google Scholar]
  7. Pourkarim, M.R.; Vergote, V.; Amini-Bavil-Olyaee, S.; Sharifi, Z.; Sijmons, S.; Lemey, P.; Maes, P.; Alavian, S.M.; Van Ranst, M. Molecular characterization of hepatitis B virus (HBV) strains circulating in the northern coast of the Persian Gulf and its comparison with worldwide distribution of HBV subgenotype D1. J. Med. Virol. 2014, 86, 745–757. [Google Scholar] [CrossRef]
  8. Amini-Bavil-Olyaee, S.; Pourkarim, M.R.; Schaefer, S.; Mahboudi, F.; Van Ranst, M.; Adeli, A.; Trautwein, C.; Tacke, F. Single-step real-time PCR to quantify hepatitis B virus and distinguish genotype D from non-D genotypes. J. Viral Hepat. 2011, 18, 300–304. [Google Scholar] [CrossRef]
  9. Osiowy, C.; Giles, E.; Lowe, C.F.; Matic, N.; Murphy, D.G.; Uzicanin, S.; Drews, S.J.; O’Brien, S.F. Hepatitis B virus genotype surveillance in Canadian blood donors and a referred patient population, 2016–2021. Vox Sang. 2023; online ahead of print. [Google Scholar]
  10. Sandoughdaran, S.; Alavian, S.M.; Sharafi, H.; Behnava, B.; Salimi, S.; Mehrnoush, L.; Elizee, P.K.; Keshvari, M. Efficacy of prolonged treatment with pegylated interferon (Peg-IFN) and ribavirin in thalassemic patients with hepatitis C who relapsed after previous Peg-IFN-based therapy. Hepat. Mon. 2015, 15, e23564. [Google Scholar] [CrossRef]
  11. World Health Organization. Interim Guidance for Country Validation of Viral Hepatitis Elimination; World Health Organization: Geneva, Switzerland, 2021. [Google Scholar]
  12. Smith, S.; Harmanci, H.; Hutin, Y.; Hess, S.; Bulterys, M.; Peck, R.; Rewari, B.; Mozalevskis, A.; Shibeshi, M.; Mumba, M. Global progress on the elimination of viral hepatitis as a major public health threat: An analysis of WHO Member State responses 2017. JHEP Rep. 2019, 1, 81–89. [Google Scholar] [CrossRef]
  13. Howell, J.; Pedrana, A.; Cowie, B.C.; Doyle, J.; Getahun, A.; Ward, J.; Gane, E.; Cunningham, C.; Wallace, J.; Lee, A. Aiming for the elimination of viral hepatitis in Australia, New Zealand, and the Pacific Islands and Territories: Where are we now and barriers to meeting World Health Organization targets by 2030. J. Gastroenterol. Hepatol. 2019, 34, 40–48. [Google Scholar] [CrossRef] [PubMed]
  14. Pourkarim, M.R.; Razavi, H.; Lemey, P.; Van Ranst, M. Iran’s hepatitis elimination programme is under threat. Lancet 2018, 392, 1009. [Google Scholar] [CrossRef]
  15. Renard, A.; Pérez Lombardini, F.; Pacheco Zapata, M.; Porphyre, T.; Bento, A.; Suzán, G.; Roiz, D.; Roche, B.; Arnal, A. Interaction of Human Behavioral Factors Shapes the Transmission of Arboviruses by Aedes and Culex Mosquitoes. Pathogens 2023, 12, 1421. [Google Scholar] [CrossRef] [PubMed]
  16. Mah, J.K.; Keck, M.; Chu, D.Y.; Sooryanarain, H.; Sahoo, M.K.; Lau, P.; Huang, C.; Weber, J.; Belanger, G.A.; Keck, Z. Hepatitis E virus seropositivity in an ethnically diverse community blood donor population. Vox Sang. 2023, 118, 674–680. [Google Scholar] [CrossRef]
  17. Čabanová, V.; Kerlik, J.; Kirschner, P.; Rosochová, J.; Klempa, B.; Sláviková, M.; Ličková, M. Co-Circulation of West Nile, Usutu, and Tick-Borne Encephalitis Viruses in the Same Area: A Great Challenge for Diagnostic and Blood and Organ Safety. Viruses 2023, 15, 366. [Google Scholar] [CrossRef]
  18. Silva, A.R.R.; Malheiro, C.; Loureiro, S.; González-Alcaraz, M.N. Toxicity of historically metal (loid)-contaminated soils to Folsomia candida under the influence of climate change alterations. Environ. Pollut. 2022, 305, 119256. [Google Scholar] [CrossRef] [PubMed]
  19. Fumian, T.M.; Malta, F.C.; Sarmento, S.K.; Fernandes, S.B.; Negri, C.M.; Belettini, S.A.d.A.; Machado, M.H.; Guimarães, M.A.A.M.; de Assis, R.M.S.; Baduy, G.A. Acute gastroenteritis outbreak associated with multiple and rare norovirus genotypes after storm events in Santa Catarina, Brazil. J. Med. Virol. 2023, 95, e29205. [Google Scholar] [CrossRef] [PubMed]
  20. Luo, P.-Y.; Chen, M.-X.; Kuang, W.-T.; Ni, H.; Zhao, J.; Dai, H.-Y.; Ren, X.; Yi, S.-H.; Hong, X.-Q.; Zha, W.-T. Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China. BMC Public Health 2023, 23, 1874. [Google Scholar] [CrossRef]
  21. Khoja, A.; Ali, N.A.; Kazim, F. Flood in Pakistan and Infectious Diseases—The Way Forward. J. Coll. Physicians Surg.-Pak. JCPSP 2023, 33, 1080–1081. [Google Scholar]
  22. Gray, J.S.; Ogden, N.H. Ticks, human babesiosis and climate change. Pathogens 2021, 10, 1430. [Google Scholar] [CrossRef]
  23. Gomes, H.; de Jesus, A.G.; Quaresma, J.A.S. Identification of risk areas for arboviruses transmitted by Aedes aegypti in northern Brazil: A One Health analysis. One Health 2023, 16, 100499. [Google Scholar] [CrossRef]
  24. Stevens, L.; Monroy, M.C.; Rodas, A.G.; Dorn, P.L. Hunting, swimming, and worshiping: Human cultural practices illuminate the blood meal sources of cave dwelling Chagas vectors (Triatoma dimidiata) in Guatemala and Belize. PLoS Neglected Trop. Dis. 2014, 8, e3047. [Google Scholar] [CrossRef]
  25. Paz, S.; Semenza, J.C. Environmental drivers of West Nile fever epidemiology in Europe and Western Asia—A review. Int. J. Environ. Res. Public Health 2013, 10, 3543–3562. [Google Scholar] [CrossRef] [PubMed]
  26. Marcantonio, M.; Rizzoli, A.; Metz, M.; Rosà, R.; Marini, G.; Chadwick, E.; Neteler, M. Identifying the environmental conditions favouring West Nile virus outbreaks in Europe. PLoS ONE 2015, 10, e0121158. [Google Scholar] [CrossRef] [PubMed]
  27. Jiang, S.; Xing, D.; Li, C.; Dong, Y.; Zhao, T.; Guo, X. Replication and Transmission of West Nile Virus In Simulated Overwintering Adults of Culex Pipiens Pallens (Diptera: Culicidae) in China. Acta Trop. 2023, 237, 106720. [Google Scholar] [CrossRef] [PubMed]
  28. Ostfeld, R.S.; Brunner, J.L. Climate change and Ixodes tick-borne diseases of humans. Philos. Trans. R. Soc. B Biol. Sci. 2015, 370, 20140051. [Google Scholar] [CrossRef] [PubMed]
  29. Vogels, C.B.; Hartemink, N.; Koenraadt, C.J. Modelling West Nile virus transmission risk in Europe: Effect of temperature and mosquito biotypes on the basic reproduction number. Sci. Rep. 2017, 7, 5022. [Google Scholar] [CrossRef]
  30. Farooq, Z.; Sjödin, H.; Semenza, J.C.; Tozan, Y.; Sewe, M.O.; Wallin, J.; Rocklöv, J. European projections of West Nile virus transmission under climate change scenarios. One Health 2023, 16, 100509. [Google Scholar] [CrossRef]
  31. Saeed, A.; Ali, S.; Khan, F.; Muhammad, S.; Reboita, M.S.; Khan, A.W.; Goheer, M.A.; Khan, M.A.; Kumar, R.; Ikram, A. Modelling the impact of climate change on dengue outbreaks and future spatiotemporal shift in Pakistan. Environ. Geochem. Health 2023, 45, 3489–3505. [Google Scholar] [CrossRef]
  32. Rector, A.; Bloemen, M.; Thijssen, M.; Delang, L.; Raymenants, J.; Thibaut, J.; Pussig, B.; Fondu, L.; Aertgeerts, B.; Van Ranst, M. Monitoring of SARS-CoV-2 concentration and circulation of variants of concern in wastewater of Leuven, Belgium. J. Med. Virol. 2023, 95, e28587. [Google Scholar] [CrossRef]
  33. Hoffman, T.; Olsen, B.; Lundkvist, Å. The Biological and Ecological Features of Northbound Migratory Birds, Ticks, and Tick-Borne Microorganisms in the African–Western Palearctic. Microorganisms 2023, 11, 158. [Google Scholar] [CrossRef] [PubMed]
  34. Hampel, A.; Solbach, P.; Cornberg, M.; Schmidt, R.E.; Behrens, G.M.; Jablonka, A. Current seroprevalence, vaccination and predictive value of liver enzymes for hepatitis B among refugees in Germany. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz 2016, 59, 578–583. [Google Scholar] [CrossRef]
  35. Pottie, K.; Mayhew, A.D.; Morton, R.L.; Greenaway, C.; Akl, E.A.; Rahman, P.; Zenner, D.; Pareek, M.; Tugwell, P.; Welch, V. Prevention and assessment of infectious diseases among children and adult migrants arriving to the European Union/European Economic Association: A protocol for a suite of systematic reviews for public health and health systems. BMJ Open 2017, 7, e014608. [Google Scholar] [CrossRef]
  36. Gippet, J.M.; Bates, O.K.; Moulin, J.; Bertelsmeier, C. The global risk of infectious disease emergence from giant land snail invasion and pet trade. Parasites Vectors 2023, 16, 363. [Google Scholar] [CrossRef] [PubMed]
  37. Crits-Christoph, A.; Levy, J.I.; Pekar, J.; Goldstein, S.A.; Singh, R.; Hensel, Z.; Gangavarapu, K.; Rogers, M.B.; Moshiri, N.; Garry, R.F. Genetic tracing of market wildlife and viruses at the epicenter of the COVID-19 pandemic. bioRxiv 2023. [Google Scholar] [CrossRef]
  38. Pourkarim, M.R.; Zandi, K.; Davani, N.A.; Pourkarim, H.R.; Amini-Bavil-Olyaee, S. An aberrant high prevalence of hepatitis B infection among Afghans residing in one of the Bushehr refugee camps (Dalaki camp) in the southwest of Iran. Int. J. Infect. Dis. 2008, 12, 101–102. [Google Scholar] [CrossRef]
  39. Hsu, C.H.; Mahamud, A.; Safdar, R.M.; Ahmed, J.; Jorba, J.; Sharif, S.; Farag, N.; Martinez, M.; Tangermann, R.H.; Ehrhardt, D. Progress toward poliomyelitis eradication—Pakistan, January 2015–September 2016. Morb. Mortal. Wkly. Rep. 2016, 65, 1295–1299. [Google Scholar] [CrossRef] [PubMed]
  40. Schweitzer, A.; Horn, J.; Mikolajczyk, R.T.; Krause, G.; Ott, J.J. Estimations of worldwide prevalence of chronic hepatitis B virus infection: A systematic review of data published between 1965 and 2013. Lancet 2015, 386, 1546–1555. [Google Scholar] [CrossRef]
  41. Thijssen, M.; Lemey, P.; Amini-Bavil-Olyaee, S.; Dellicour, S.; Alavian, S.M.; Tacke, F.; Verslype, C.; Nevens, F.; Pourkarim, M.R. Mass migration to Europe: An opportunity for elimination of hepatitis B virus? Lancet Gastroenterol. Hepatol. 2019, 4, 315–323. [Google Scholar] [CrossRef]
  42. Marrone, R.; Mazzi, C.; Ouattara, H.; Cammilli, M.; Pontillo, D.; Perandin, F.; Bisoffi, Z. Screening for Neglected Tropical Diseases and other infections in African refugees and asylum seekers in Rome and Lazio region, Italy. Travel Med. Infect. Dis. 2023, 56, 102649. [Google Scholar] [CrossRef]
  43. Greenaway, C.; Castelli, F. Infectious diseases at different stages of migration: An expert review. J. Travel Med. 2019, 26, taz007. [Google Scholar] [CrossRef] [PubMed]
  44. Andersen, M.H.; Kruse, A.; Frederiksen, H.W.; Ahmadi, A.; Norredam, M. Health status of refugees newly resettled in Denmark. Dan. Med. J. 2020, 67, A08200567. [Google Scholar] [PubMed]
  45. Stramer, S.L.; Hollinger, F.B.; Katz, L.M.; Kleinman, S.; Metzel, P.S.; Gregory, K.R.; Dodd, R.Y. Emerging infectious disease agents and their potential threat to transfusion safety. Transfusion 2009, 49 (Suppl. S2), 1S–29S. [Google Scholar] [CrossRef] [PubMed]
  46. Sauvage, V.; Eloit, M. Viral metagenomics and blood safety. Transfus. Clin. Biol. J. Soc. Fr. Transfus. Sang. 2016, 23, 28–38. [Google Scholar] [CrossRef]
  47. Ramamurthy, M.; Sankar, S.; Kannangai, R.; Nandagopal, B.; Sridharan, G. Application of viromics: A new approach to the understanding of viral infections in humans. Virusdisease 2017, 28, 349–359. [Google Scholar] [CrossRef]
  48. Briese, T.; Kapoor, A.; Mishra, N.; Jain, K.; Kumar, A.; Jabado, O.J.; Lipkin, W.I. Virome Capture Sequencing Enables Sensitive Viral Diagnosis and Comprehensive Virome Analysis. mBio 2015, 6, e01491-15. [Google Scholar] [CrossRef] [PubMed]
  49. Bikel, S.; Valdez-Lara, A.; Cornejo-Granados, F.; Rico, K.; Canizales-Quinteros, S.; Soberon, X.; Del Pozo-Yauner, L.; Ochoa-Leyva, A. Combining metagenomics, metatranscriptomics and viromics to explore novel microbial interactions: Towards a systems-level understanding of human microbiome. Comput. Struct. Biotechnol. J. 2015, 13, 390–401. [Google Scholar] [CrossRef]
  50. Jansen, D.; Falony, G.; Vieira-Silva, S.; Simsek, C.; Marcelis, T.; Caenepeel, C.; Machiels, K.; Raes, J.; Vermeire, S.; Matthijnssens, J. Community types of the human gut virome are associated with endoscopic outcome in ulcerative colitis. J. Crohn’s Colitis 2023, 17, 1504–1513. [Google Scholar] [CrossRef]
  51. Cordey, S.; Vu, D.L.; Schibler, M.; L’Huillier, A.G.; Brito, F.; Docquier, M.; Posfay-Barbe, K.M.; Petty, T.J.; Turin, L.; Zdobnov, E.M.; et al. Astrovirus MLB2, a New Gastroenteric Virus Associated with Meningitis and Disseminated Infection. Emerg. Infect. Dis. 2016, 22, 846–853. [Google Scholar] [CrossRef]
  52. Holtz, L.R.; Wylie, K.M.; Sodergren, E.; Jiang, Y.; Franz, C.J.; Weinstock, G.M.; Storch, G.A.; Wang, D. Astrovirus MLB2 viremia in febrile child. Emerg. Infect. Dis. 2011, 17, 2050–2052. [Google Scholar] [CrossRef]
  53. Sobral, P.M.; Barros, A.E.; Gomes, A.M.; do Bonfim, C.V. Viral inactivation in hemotherapy: Systematic review on inactivators with action on nucleic acids. Rev. Bras. Hematol. E Hemoter. 2012, 34, 231–235. [Google Scholar] [CrossRef] [PubMed]
  54. Grard, G.; Fair, J.N.; Lee, D.; Slikas, E.; Steffen, I.; Muyembe, J.J.; Sittler, T.; Veeraraghavan, N.; Ruby, J.G.; Wang, C.; et al. A novel rhabdovirus associated with acute hemorrhagic fever in central Africa. PLoS Pathog. 2012, 8, e1002924. [Google Scholar] [CrossRef]
  55. Feng, H.; Shuda, M.; Chang, Y.; Moore, P.S. Clonal integration of a polyomavirus in human Merkel cell carcinoma. Science 2008, 319, 1096–1100. [Google Scholar] [CrossRef] [PubMed]
  56. Zarate, S.; Taboada, B.; Yocupicio-Monroy, M.; Arias, C.F. The Human Virome. Arch. Med. Res. 2018, 48, 701–716. [Google Scholar] [CrossRef]
  57. Gorski, A.; Miedzybrodzki, R.; Borysowski, J.; Dabrowska, K.; Wierzbicki, P.; Ohams, M.; Korczak-Kowalska, G.; Olszowska-Zaremba, N.; Lusiak-Szelachowska, M.; Klak, M.; et al. Phage as a modulator of immune responses: Practical implications for phage therapy. Adv. Virus Res. 2012, 83, 41–71. [Google Scholar] [CrossRef] [PubMed]
  58. Popgeorgiev, N.; Colson, P.; Thuret, I.; Chiarioni, J.; Gallian, P.; Raoult, D.; Desnues, C. Marseillevirus prevalence in multitransfused patients suggests blood transmission. J. Clin. Virol. Off. Publ. Pan Am. Soc. Clin. Virol. 2013, 58, 722–725. [Google Scholar] [CrossRef] [PubMed]
  59. Furuta, R.A.; Sakamoto, H.; Kuroishi, A.; Yasiui, K.; Matsukura, H.; Hirayama, F. Metagenomic profiling of the viromes of plasma collected from blood donors with elevated serum alanine aminotransferase levels. Transfusion 2015, 55, 1889–1899. [Google Scholar] [CrossRef]
  60. Zhang, W.; Li, L.; Deng, X.; Blümel, J.; Nübling, C.M.; Hunfeld, A.; Baylis, S.A.; Delwart, E. Viral nucleic acids in human plasma pools. Transfusion 2016, 56, 2248–2255. [Google Scholar] [CrossRef]
  61. Lau, P.; Cordey, S.; Brito, F.; Tirefort, D.; Petty, T.J.; Turin, L.; Guichebaron, A.; Docquier, M.; Zdobnov, E.M.; Waldvogel-Abramowski, S. Metagenomics analysis of red blood cell and fresh-frozen plasma units. Transfusion 2017, 57, 1787–1800. [Google Scholar] [CrossRef]
  62. Christensen, T. Human endogenous retroviruses in neurologic disease. APMIS Acta Pathol. Microbiol. Immunol. Scand. 2016, 124, 116–126. [Google Scholar] [CrossRef]
  63. Arora, A.; Kolberg, J.E.; Srinivasachar Badarinarayan, S.; Savytska, N.; Munot, D.; Müller, M.; Krchlíková, V.; Sauter, D.; Bansal, V. SARS-CoV-2 infection induces epigenetic changes in the LTR69 subfamily of endogenous retroviruses. Mob. DNA 2023, 14, 11. [Google Scholar] [CrossRef] [PubMed]
  64. Tamouza, R.; Meyer, U.; Lucas, A.; Richard, J.R.; Nkam, I.; Pinot, A.; Djonouma, N.; Boukouaci, W.; Charvet, B.; Pierquin, J. Patients with psychosis spectrum disorders hospitalized during the COVID-19 pandemic unravel overlooked SARS-CoV-2 past infection clustering with HERV-W ENV expression and chronic inflammation. Transl. Psychiatry 2023, 13, 272. [Google Scholar] [CrossRef]
  65. Grandi, N.; Erbì, M.C.; Scognamiglio, S.; Tramontano, E. Human Endogenous Retrovirus (HERV) Transcriptome Is Dynamically Modulated during SARS-CoV-2 Infection and Allows Discrimination of COVID-19 Clinical Stages. Microbiol. Spectr. 2023, 11, e02516–e02522. [Google Scholar] [CrossRef]
  66. De Vlaminck, I.; Khush, K.K.; Strehl, C.; Kohli, B.; Luikart, H.; Neff, N.F.; Okamoto, J.; Snyder, T.M.; Cornfield, D.N.; Nicolls, M.R.; et al. Temporal response of the human virome to immunosuppression and antiviral therapy. Cell 2013, 155, 1178–1187. [Google Scholar] [CrossRef] [PubMed]
  67. Jamieson, A.M. Influence of the microbiome on response to vaccination. Hum. Vaccines Immunother. 2015, 11, 2329–2331. [Google Scholar] [CrossRef]
  68. Legoff, J.; Resche-Rigon, M.; Bouquet, J.; Robin, M.; Naccache, S.N.; Mercier-Delarue, S.; Federman, S.; Samayoa, E.; Rousseau, C.; Piron, P. The eukaryotic gut virome in hematopoietic stem cell transplantation: New clues in enteric graft-versus-host disease. Nat. Med. 2017, 23, 1080–1085. [Google Scholar] [CrossRef] [PubMed]
  69. Chu, Y.; Jiang, M.Z.; Xu, B.; Wang, W.J.; Chen, D.; Li, X.W.; Zhang, Y.J.; Liang, J. Specific changes of enteric mycobiota and virome in inflammatory bowel disease. J. Dig. Dis. 2018, 19, 2–7. [Google Scholar] [CrossRef]
  70. Thijssen, M.; Tacke, F.; Beller, L.; Deboutte, W.; Yinda, K.; Nevens, F.; Laleman, W.; Van Ranst, M.; Pourkarim, M. Clinical relevance of plasma virome dynamics in liver transplant recipients. EBioMedicine 2020, 60, 103009. [Google Scholar] [CrossRef]
  71. Thijssen, M.; Tacke, F.; Van Espen, L.; Cassiman, D.; Naser Aldine, M.; Nevens, F.; Van Ranst, M.; Matthijnssens, J.; Pourkarim, M.R. Plasma virome dynamics in chronic hepatitis B virus infected patients. Front. Microbiol. 2023, 14, 1172574. [Google Scholar] [CrossRef]
  72. Thijssen, M.; Khamisipour, G.; Maleki, M.; Devos, T.; Li, G.; Van Ranst, M.; Matthijnssens, J.; Pourkarim, M.R. Characterization of the Human Blood Virome in Iranian Multiple Transfused Patients. Viruses 2023, 15, 1425. [Google Scholar] [CrossRef]
  73. Thijssen, M.; Devos, T.; Meyfroidt, G.; Van Ranst, M.; Pourkarim, M.R. Exploring the relationship between anellovirus load and clinical variables in hospitalized COVID-19 patients: Implications for immune activation and inflammation. IJID Reg. 2023, 9, 49–54. [Google Scholar] [CrossRef] [PubMed]
  74. Widder, S.; Görzer, I.; Friedel, B.; Rahimi, N.; Schwarz, S.; Jaksch, P.; Knapp, S.; Puchhammer-Stöckl, E. Metagenomic sequencing reveals time, host, and body compartment-specific viral dynamics after lung transplantation. Microbiome 2022, 10, 66. [Google Scholar]
  75. Maggi, F.; Pifferi, M.; Fornai, C.; Andreoli, E.; Tempestini, E.; Vatteroni, M.; Presciuttini, S.; Marchi, S.; Pietrobelli, A.; Boner, A. TT virus in the nasal secretions of children with acute respiratory diseases: Relations to viremia and disease severity. J. Virol. 2003, 77, 2418–2425. [Google Scholar] [CrossRef] [PubMed]
  76. Maggi, F.; Andreoli, E.; Lanini, L.; Fornai, C.; Vatteroni, M.; Pistello, M.; Presciuttini, S.; Bendinelli, M. Relationships between total plasma load of torquetenovirus (TTV) and TTV genogroups carried. J. Clin. Microbiol. 2005, 43, 4807–4810. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Pourkarim, M.R. Navigating Evolving Challenges in Blood Safety. Viruses 2024, 16, 123. https://doi.org/10.3390/v16010123

AMA Style

Pourkarim MR. Navigating Evolving Challenges in Blood Safety. Viruses. 2024; 16(1):123. https://doi.org/10.3390/v16010123

Chicago/Turabian Style

Pourkarim, Mahmoud Reza. 2024. "Navigating Evolving Challenges in Blood Safety" Viruses 16, no. 1: 123. https://doi.org/10.3390/v16010123

APA Style

Pourkarim, M. R. (2024). Navigating Evolving Challenges in Blood Safety. Viruses, 16(1), 123. https://doi.org/10.3390/v16010123

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop