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      Rapid detection of an Ebola biomarker with optical microring resonators

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          Summary

          Ebola virus (EBOV) is a highly infectious pathogen, with a case mortality rate as high as 89%. Rapid therapeutic treatments and supportive measures can drastically improve patient outcome; however, the symptoms of EBOV disease (EVD) lack specificity from other endemic diseases. Given the high mortality and significant symptom overlap, there is a critical need for sensitive, rapid diagnostics for EVD. Facile diagnosis of EVD remains a challenge. Here, we describe a rapid and sensitive diagnostic for EVD through microring resonator sensors in conjunction with a unique biomarker of EBOV infection, soluble glycoprotein (sGP). Microring resonator sensors detected sGP in under 40 min with a limit of detection (LOD) as low as 1.00 ng/mL in serum. Furthermore, we validated our assay with the detection of sGP in serum from EBOV-infected non-human primates. Our results demonstrate the utility of a high-sensitivity diagnostic platform for detection of sGP for diagnosis of EVD.

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          Highlights

          • sGP is a unique diagnostic marker of Ebola virus infection

          • Microring resonators can detect EBOV and SUDV sGP at low ng/mL concentrations

          • Our sandwich immunoassay design enables the detection of antigens from serum

          • Multiplex chip has flexible design, technical replicates, and integrated controls

          Motivation

          Filoviruses, such as Ebola virus, are highly infectious pathogens with high mortality rates. Current diagnostics for filoviruses mainly rely on PCR-based techniques, ELISAs, or lateral flow assays. Disadvantages of these techniques include limited multiplexing capabilities, limited quantitative information, and lengthy assay times. We present a method for the detection of Ebola virus that addresses these concerns, with a total assay time of under 40 min.

          Abstract

          Qavi et al. describe a method using microring resonator sensors to detect Ebola virus (EBOV) soluble glycoprotein (sGP) in serum. sGP is a promising biomarker for the prognosis of EBOV infection and, coupled with this rapid detection method, could lead to a faster diagnosis.

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          Most cited references62

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          Global trends in emerging infectious diseases

          The next new disease Emerging infectious diseases are a major threat to health: AIDS, SARS, drug-resistant bacteria and Ebola virus are among the more recent examples. By identifying emerging disease 'hotspots', the thinking goes, it should be possible to spot health risks at an early stage and prepare containment strategies. An analysis of over 300 examples of disease emerging between 1940 and 2004 suggests that these hotspots can be accurately mapped based on socio-economic, environmental and ecological factors. The data show that the surveillance effort, and much current research spending, is concentrated in developed economies, yet the risk maps point to developing countries as the more likely source of new diseases. Supplementary information The online version of this article (doi:10.1038/nature06536) contains supplementary material, which is available to authorized users.
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            The challenge of emerging and re-emerging infectious diseases

            Infectious diseases have for centuries ranked with wars and famine as major challenges to human progress and survival. They remain among the leading causes of death and disability worldwide. Against a constant background of established infections, epidemics of new and old infectious diseases periodically emerge, greatly magnifying the global burden of infections. Studies of these emerging infections reveal the evolutionary properties of pathogenic microorganisms and the dynamic relationships between microorganisms, their hosts and the environment.
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              Host Range and Emerging and Reemerging Pathogens

              A recent, comprehensive literature survey of human pathogens listed >1,400 different species ( 1 ), more than half known to be zoonotic, i.e., able to infect other host species ( 1 , 2 ). The survey data showed that those pathogens regarded as emerging and reemerging were more likely to be zoonotic than those that are not ( 1 , 3 ), confirming an association between these characteristics which had long been suspected ( 4 , 5 ), but which could not be formally demonstrated without denominator data as well as numerator data. Here, we revisit these calculations, using updated information on the biology and epidemiology of recognized human pathogens. We pay close attention to possible differences between the major pathogen groups—viruses, bacteria, fungi, protozoa, and helminths. We also examine in detail the relationship between host range and pathogen emergence or reemergence, considering both the type and diversity of nonhuman hosts. We catalog the kinds of proximate factors or drivers that have been linked with pathogen emergence and reemergence and ask whether these differ between the major pathogen groups or between zoonotic and nonzoonotic pathogens. We focus mainly on pathogen diversity (as numbers of species) rather than on the effects of disease that they impose, noting that many diseases, e.g., infant diarrhea, can be caused by more than one species of pathogen. However, we comment on the transmissibility of pathogens once they have been introduced into the human population because transmissibility is an important determinant of the potential public health problem. Methods We obtained counts of pathogen species from an updated version of the previously published database ( 1 ). As before, we defined a human pathogen as "a species infectious to and capable of causing disease in humans under natural transmission conditions." We included pathogens that have only been reported as causing a single case of human disease and those that only cause disease in immunocompromised persons. We also included instances of accidental laboratory infection but excluded infections resulting from deliberate exposure in the laboratory. We added recently recognized pathogens listed online by the Centers for Disease Control and Prevention, the World Health Organization (WHO), ProMED, and elsewhere ( 6 – 9 ). We obtained taxonomic classifications online from the International Committee on Taxonomy of Viruses, the National Centre for Biotechnology Information, the CAB International Bioscience database of fungal names, and from standard texts ( 10 – 15 ). Pathogen species were categorized as emerging or reemerging based on previously published reviews of the literature ( 1 , 3 ), again updated from online sources ( 6 – 8 ). A species was regarded as emerging or reemerging if any recognized variant fell into this category (e.g., Escherichia coli O157, H5N1 influenza A). We considered the following pathogen groups: viruses (including prions), bacteria (including rickettsia), fungi (including microsporidia), protozoa, and helminths. We did not consider ectoparasites (ticks and lice). Each group was further divided into subgroups (families) to test whether biases existed in numbers of emerging and reemerging species at this level. The viruses were also divided according to genome type (e.g., negative single-stranded RNA viruses). We examined 3 aspects of host range, both for all pathogens combined and separately for each of the viruses, bacteria, fungi, protozoa, and helminths. First, we distinguished pathogen species according to whether they were known to be zoonotic, using the WHO definition "diseases or infections which are naturally transmitted between vertebrate animals and humans" ( 16 ). Note that this definition includes pathogens for which humans are the main host and other vertebrates are only occasional hosts, as well as the opposite, but excludes purely human pathogens that recently evolved from nonhuman pathogens, e.g., HIV. We then compared the fraction of emerging or reemerging species that were or were not zoonotic across the major pathogen groups and within each group by family. Second, for all zoonotic species we identified the types of nonhuman vertebrate host they are known to infect, using the following broad categories: bats, carnivores, primates, rodents, ungulates, and other mammals and nonmammals (including birds, reptiles, amphibians, and fish). We excluded vertebrate intermediate hosts of parasites with complex life cycles. Host types were ranked by the number of zoonotic pathogen species associated with them, and rankings were compared by using Spearman rank correlation coefficient. Third, we obtained a crude index of the breadth of host range by counting the number of the host types that each pathogen species is known to infect: 0 (i.e., not zoonotic), 1, 2, and 3 or more. We compared the fraction of emerging and reemerging species across these 4 classes. For the emerging and reemerging pathogen species, we identified the main factors believed to drive their increased incidence, geographic range, or both, by conducting a systematic review of the emerging diseases literature. We allocated these drivers to 1 or more broad categories (Table). Note that although we chose categories that we considered to be useful and informative for our immediate purposes, and which were similar to those listed elsewhere ( 5 ), this is inevitably a subjective procedure and alternative categorizations may be equally valid. We then ranked the drivers (by number of emerging and reemerging pathogen species associated with each) and compared the ranking of drivers for the major pathogen groups and for zoonotic versus nonzoonotic pathogens. Table Main categories of drivers associated with emergence and reemergence of human pathogens Rank* Driver 1 Changes in land use or agricultural practices 2 Changes in human demographics and society 3 Poor population health (e.g., HIV, malnutrition) 4 Hospitals and medical procedures 5 Pathogen evolution (e.g., antimicrobial drug resistance, increased virulence) 6 Contamination of food sources or water supplies 7 International travel 8 Failure of public health programs 9 International trade 10 Climate change *Ranked by the number of pathogen species associated with them (most to least). For the zoonotic species, we distinguished those known to be transmissible between humans, allowing that this might be through an indirect route (e.g., a vector or an intermediate host), from those for which humans can only acquire infection (directly or indirectly) from a nonhuman source. For the transmissible zoonotic species, we further distinguished those that are sufficiently transmissible to cause major epidemics in human populations from those that cause only relatively minor outbreaks. This classification was intended to distinguish between pathogens with R 0>1 in humans from those with R 0 1 host. A) All zoonotic species. B) Emerging and reemerging zoonotic species only. However, when the fraction of emerging and reemerging species is compared with the breadth of host range (as the number of host types other than humans), a pattern becomes apparent (Figure 2). Overall, the fraction tends to increase with host range: >40% of pathogens with the broadest host ranges (3 or more types of nonhuman host) are emerging or reemerging (exact p = 0.042). However, this trend does not hold for the protozoa and helminths (although the numbers for these groups are small). Figure 2 Relationship between breadth of host range (as number of nonhuman host types, as listed in Figure 1) and the fraction of pathogen species regarded as emerging or reemerging. A total of 122 zoonotic species (10 of them emerging or reemerging) for which the host range is unknown are omitted. Drivers of Emergence We identified 10 main categories of drivers of emergence and reemergence and ranked these by the total number of pathogen species associated with them (Table). The ranking of drivers across different categories of pathogen showed poor concordance (e.g., Spearman rank correlation for bacteria vs. viruses, rs = 0.41, n = 10, p = 0.24). The most striking discrepancies were as follows: 1) the marked association of emerging or reemerging fungi with hospitalization, poor population health, or both; 2) the greater importance of pathogen evolution and contaminated food and water and the lesser importance of international travel and changes in land use and agriculture for bacteria in comparison with viruses; 3) the greater importance of changing land use and agriculture for zoonoses than for nonzoonoses. Transmissibility Overall, most zoonotic pathogens are either not transmissible (directly or indirectly) between humans at all (i.e., humans are a dead-end host) or are only minimally transmissible. Examples include rabies virus, Rift Valley fever virus, and Borrelia burgdorferi (the agent of Lyme disease). A small minority (≈10%) of pathogen species that are technically zoonotic are, in fact, spread almost exclusively from person to person (e.g., Mycobacterium tuberculosis or measles virus) or can do so once successfully introduced from a nonhuman source (e.g., some strains of influenza A, Yersinia pestis, or severe acute respiratory syndrome (SARS) coronavirus). However, a substantial minority of zoonotic pathogens (about 25%, i.e., 200 species) are capable of some person-to-person transmission but do not persist without repeated reintroductions from a nonhuman reservoir (e.g., E. coli O157, Trypanosoma brucei rhodesiense, or Ebola virus). This pattern is fairly consistent across the major pathogen groups. Discussion Humans are affected by an impressive diversity of pathogens; 1,407 pathogenic species of viruses, bacteria, fungi, protozoa, and helminths are currently recognized. Of this total, 177 (13%) pathogen species are considered emerging or reemerging. This number must be viewed with some caution, given that these terms are still used somewhat subjectively. More rigorous definitions of emerging and reemerging have been proposed ( 5 , 17 , 18 ), but these are difficult to apply universally because they require long-term data on distributions and incidences which are available for only a small subset of infectious diseases (e.g., malaria [19] and tuberculosis [20]). Moreover, the counts of emerging and reemerging pathogen species reported here are subject to ascertainment bias. Despite these caveats, our results suggest that pathogens associated with emerging and reemerging diseases share some common features. First, emerging and reemerging pathogens are disproportionately viruses, although they are not disproportionately different kinds of viruses. Numerically, RNA viruses dominate, comprising 37% of all emerging and reemerging pathogens. RNA viruses are also prominent among the subset of emerging pathogens that have apparently entered the human population only in the past few decades, such as HIV or the SARS coronavirus ( 21 , 22 ). A possible explanation for this observation is that much higher nucleotide substitution rates for RNA viruses permit more rapid adaptation, greatly increasing the chances of successfully invading a new host population ( 21 , 22 ). Second, emerging and reemerging pathogens are not strongly associated with particular nonhuman host types, although emerging and reemerging pathogens more often are those with broad host ranges that often encompass several mammalian orders and even nonmammals. This pattern is consistent across the major pathogen groups. The determinants of host range in general remain poorly understood, but among viruses for which the cell receptor is known, an association exists between host range and whether the receptor is phylogenetically conserved (as measured by the homology of the human and mouse amino acid sequences) ( 23 ). Emerging and reemerging pathogens have been likened to weeds ( 24 ), and that the associations reported above are likely reflecting underlying "weediness," that is, a degree of biologic flexibility that makes certain pathogens adept at taking advantage of new epidemiologic opportunities. This characteristic seems to be reflected in the broad range of drivers of the emergence or reemergence of pathogens, ranging from changes in land use and agriculture, through hospitalization to international travel. Although some drivers are numerically more important than others, the overall impression is that pathogens are exploiting almost any change in human ecology that provides new opportunities for transmission, either between humans or to humans from a nonhuman source. Even if a pathogen is capable of infecting and causing disease in humans, most zoonotic pathogens are not highly transmissible within human populations and do not cause major epidemics. The possible magnitude of an infectious disease outbreak is related to the basic reproduction number, R 0 (Figure 3). For pathogens that are minimally transmissible within human populations (R 0 close to 0), outbreak size is determined largely by the number of introductions from the reservoir. For pathogens that are highly transmissible within human populations (R 0>>1), outbreak size is determined largely by the size of the susceptible population. For pathogens that are moderately transmissible within human populations (corresponding to R 0 ≈ 1), notable outbreaks are possible (especially if multiple introductions occur), but the scale of these outbreaks is very sensitive to small changes in R 0. In other words, small changes in the nature of the host-pathogen interaction can lead to large increases (or decreases) in the scale of the public health problem (Figure 3). Such pathogens may be likely sources of emerging infectious disease problems in the future. However, we currently have no way of predicting whether a novel human pathogen will behave like rabies (frequently introduced into the human population, but not capable of causing major epidemics) or HIV (probably rarely introduced, but capable of causing a global pandemic). Figure 3 Expected relationship between outbreak size (as fraction of the population affected) and 2 key epidemiologic parameters: I0 is the number of primary cases of infection introduced into the human population from an external source such as a zoonotic reservoir (increasing in the direction indicated); R0 is the basic reproduction number, a measure of the transmissibility of the infection with the human population (see text). The curves are obtained from a modified version of the Kermack-McKendrick equation and show that expected outbreak size is particularly sensitive to small changes in I0 or R0 when R0 is close to 1. Examples of zoonotic pathogens with R0>1, R0<1 and R0 close to 1 are shown. RIVF, Rift Valley fever virus. (Reprinted with permission from [23]). In conclusion, this study suggests that biologic and epidemiologic correlates of pathogen emergence or reemergence may be identified. However, the most striking feature of emerging and reemerging pathogens is their diversity (Appendix). For this reason, surveillance and monitoring of infectious disease trends may have to be broadly targeted to be most effective. Given that three-fourths of emerging and reemerging pathogens are zoonotic, in many cases this targeting might usefully be extended beyond at-risk human populations to include populations of potential animal reservoirs.
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                Author and article information

                Contributors
                Journal
                Cell Rep Methods
                Cell Rep Methods
                Cell Reports Methods
                Elsevier
                2667-2375
                08 June 2022
                20 June 2022
                08 June 2022
                : 2
                : 6
                : 100234
                Affiliations
                [1 ]Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
                [2 ]Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
                [3 ]Integrated Biotherapeutics, Rockville, MD 20850, USA
                [4 ]Mapp Biopharmaceutical, Inc., San Diego, CA 92121, USA
                [5 ]United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, MD 21702, USA
                [6 ]United States Army Nuclear and Countering Weapons of Mass Destruction Agency, Fort Belvoir, VA 22060, USA
                [7 ]Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
                [8 ]Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
                Author notes
                []Corresponding author rick@ 123456integratedbiotherapeutics.com
                [∗∗ ]Corresponding author ryancb@ 123456umich.edu
                [∗∗∗ ]Corresponding author gamarasinghe@ 123456wustl.edu
                [9]

                These authors contributed equally

                [10]

                Lead contact

                Article
                S2667-2375(22)00103-5 100234
                10.1016/j.crmeth.2022.100234
                9243524
                35784644
                de0fb98d-ff9a-489f-bf05-cb9002270416
                © 2022 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 2 March 2022
                : 28 April 2022
                : 16 May 2022
                Categories
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                ebola virus,filoviruses,diagnostics,biosensors,photonics,immunoassay

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