Literature DB >> 24299049

Drug susceptibility surveillance of influenza viruses circulating in the United States in 2011-2012: application of the WHO antiviral working group criteria.

Margaret Okomo-Adhiambo1, Ha T Nguyen, Anwar Abd Elal, Katrina Sleeman, Alicia M Fry, Larisa V Gubareva.   

Abstract

BACKGROUND: Assessing susceptibility of influenza viruses to neuraminidase (NA) inhibitors (NAIs) is primarily done in NA inhibition (NI) assays, supplemented by NA sequence analysis. However, two factors present challenges for NI assay data interpretation: lack of established IC50 values indicative of clinically relevant resistance and insufficient harmonization of NI testing methodologies among surveillance laboratories. In 2012, the WHO working group on influenza antiviral susceptibility (WHO-AVWG) developed criteria to facilitate consistent interpretation and reporting of NI assay data.
METHODS: The WHO-AVWG classification criteria were applied in interpreting NI assay data for two FDA-licensed NAIs, oseltamivir and zanamivir, for viruses collected in the United States during the 2011-2012 winter season.
RESULTS: All A (H1N1)pdm09 viruses (n = 449) exhibited normal inhibition by oseltamivir and zanamivir, with the exception of eight viruses (1·8%) with highly reduced inhibition by oseltamivir, which carried the H275Y marker of oseltamivir resistance. A (H3N2) viruses (n = 978) exhibited normal inhibition by both NAIs, except for one virus with highly reduced inhibition by zanamivir due to the cell culture-selected NA change, Q136K. Type B viruses (n = 343) exhibited normal inhibition by both drugs, except for an isolate with reduced inhibition by both NAIs that had the cell culture-selected A200T substitution.
CONCLUSIONS: WHO-AVWG classification criteria allowed the detection of viruses carrying the established oseltamivir resistance marker, as well as viruses whose susceptibility was altered during propagation. These criteria were consistent with statistical-based criteria for detecting outliers and will be useful in harmonizing NI assay data among surveillance laboratories worldwide and in establishing laboratory correlates of clinically relevant resistance.
© 2013 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Influenza; neuraminidase inhibition; oseltamivir; zanamivir

Mesh:

Substances:

Year:  2013        PMID: 24299049      PMCID: PMC4186475          DOI: 10.1111/irv.12215

Source DB:  PubMed          Journal:  Influenza Other Respir Viruses        ISSN: 1750-2640            Impact factor:   4.380


Introduction

Monitoring influenza antiviral susceptibility has become a vital part of virological surveillance within the WHO Global Influenza Surveillance and Response System (WHO-GISRS). The information gained is essential for making decisions with regard to drug-use recommendations, clinical care, outbreak management, and pandemic preparedness. Neuraminidase (NA) inhibitors (NAIs) are currently the only class of antiviral drugs effective against influenza infections.1 Orally administered oseltamivir and inhaled zanamivir are FDA-approved, while newer NAIs include intravenously administered peramivir,2 which is licensed in Japan, South Korea, and China, and the long-acting inhaled laninamivir (CS-8958), licensed in Japan.3 The unexpected emergence and global spread of oseltamivir-resistant A (H1N1) viruses carrying the H275Y mutation in the NA during 2007–2009 4–7 reinforced the importance of drug susceptibility surveillance. The oseltamivir-resistant A (H1N1) viruses were displaced by the A (H1N1) pdm09 viruses that emerged in April 2009.8 Resistance to oseltamivir has remained low among A (H1N1) pdm09 viruses circulating in the United States 9,10 and other countries.11–13 However, a worrisome trend was noticed when the majority of detected H275Y viruses were collected from patients with no known exposure to oseltamivir.9–11 Moreover, in 2011, a cluster of cases with oseltamivir resistance was detected in Australia.14,15 Such potential for emergence and spread of NAI-resistant viruses and the limited therapeutic options available highlight the need for sustained NAI susceptibility surveillance among globally circulating influenza viruses. For surveillance purposes, susceptibility to NAIs is assessed in either the fluorescent 16 or the chemiluminescent NA inhibition assay.17 However, the fifty percent inhibitory concentration (IC50) values generated in the NI assay are affected by variations in assay protocols,18–21 making it difficult to compare IC50 data generated in different laboratories.22 Moreover, there is no established cutoff IC50 value which discriminates between viruses susceptible to NAIs and viruses with clinically relevant resistance. The lack of standardization in NI assay methodologies and the resulting IC50 variability create challenges in sharing and interpreting IC50 data among surveillance laboratories within the WHO-GISRS. In June 2011, the WHO working group on surveillance of influenza antiviral susceptibility (WHO-AVWG) was created with the mandate to develop practical approaches for antiviral susceptibility surveillance, provide advice on appropriate surveillance strategy, and guide the interpretation of laboratory surveillance data.22 In an effort to harmonize and ensure consistency in reporting and data analysis, the WHO-AVWG agreed on criteria to define influenza viruses as exhibiting normal, reduced, or highly reduced NA inhibition, based on the fold change of their IC50 compared to reference IC50 values.22 Application of these criteria does not negate the need for NA sequence analysis, because viruses displaying reduced or highly reduced inhibition must be sequenced to identify any underlying amino acid residue changes in the NA. Subsequently, highly reduced inhibition in the NI assay coupled with the identification of an established marker of clinically relevant resistance (e.g., H275Y substitution) is interpreted as resistance, while in other instances the interpretation remains uncertain. Although it is unknown what reduced inhibition means clinically, it is important to monitor such viruses for public health purposes. The WHO-AVWG criteria list ranges of IC50 fold change specific to type A and type B viruses; however, they do not specify which reference IC50 should be used to calculate the fold change and thus remain ambiguous in this respect. In this study, we applied the WHO-AVWG criteria in interpreting the NAI susceptibility of influenza A and B viruses that circulated in the United States during the 2011–2012 winter influenza season. We examined different options for determining fold changes in IC50 of test viruses. All three approaches effectively enabled the detection of viruses carrying known markers of NAI resistance (e.g., H275Y), as well as viruses that acquired cell culture-selected changes (e.g., Q136K), and were consistent with the statistical-based criteria previously applied for detecting outliers.

Materials and methods

Viruses

Seasonal influenza A and B viruses collected in the United States between October 01, 2011, and September 30, 2012, were submitted to the WHO Collaborating Center for Surveillance, Epidemiology and Control of Influenza at the CDC in Atlanta, Georgia, the United States. Variant influenza A (H3N2)v viruses collected in the United States during the 2011–2012 season were also included in the study. All viruses were propagated in MDCK cells (ATCC, Manassas, VA, USA) or eggs and antigenically characterized by the hemagglutination inhibition (HI) prior to antiviral susceptibility testing.

Neuraminidase inhibitors

Oseltamivir (carboxylate), the active compound of the ethyl ester prodrug oseltamivir phosphate, was supplied by Hoffmann-La Roche (Basel, Switzerland) and zanamivir by GlaxoSmithKline (Uxbridge, UK).

Neuraminidase inhibition assay

Susceptibility of virus isolates to oseltamivir and zanamivir was assessed in the fluorescent NI assay, using the NA-Fluor™ Influenza Neuraminidase Assay Kit (Applied Biosystems, Foster City, CA, USA) with modifications to the manufacturer's protocol.23

Data analysis

Raw fluorescent NI assay data (expressed as RFU) were plotted against drug concentration (nm) to determine IC50 values, using Jaspr v1.2 curve-fitting software (CDC, Atlanta, GA, USA).23 Box-and-whisker plots used to identify extreme IC50s (outliers) and to determine baseline IC50s were generated using sas 9.3 software (SAS Institute, Cary, NC, USA), as previously described.24

Interpretation of IC50 values for WHO-AVWG criteria

Fold changes in IC50 were determined by different approaches where IC50s of test viruses were divided with (i) the IC50 of an influenza type-specific, drug-susceptible reference virus tested in the same assay as the test virus (ii) the median IC50 among type-specific, drug-susceptible reference viruses obtained from different assays, and (iii) the median IC50 among test viruses or mean IC50 (outliers excluded) by respective drug and influenza type and subtype. The fold changes in IC50 were interpreted based on the WHO-AVWG criteria established for influenza A and B viruses.22 Influenza A viruses with <10-fold change in IC50 were characterized as exhibiting normal inhibition by the respective NAI, while those with 10- to 100-fold and >100-fold change as exhibiting reduced and highly reduced inhibition, respectively. The same criteria were applied to influenza B viruses, but using <5-fold, 5- to 50-fold, and >50-fold changes in IC50 to characterize viruses as exhibiting normal, reduced, and highly reduced inhibition, respectively. We compared the outcome of each approach to the results from the statistical-based method for the detection of outliers.24

Sequence analysis

Viruses showing reduced and highly reduced inhibition were assessed by genetic analysis, using pyrosequencing 25 and/or Sanger sequencing,26 to detect known and/or novel NA markers associated with reduced susceptibility to NAIs. Amino acid substitutions in the NA are listed according to straight numbering throughout the text.

Results

The first approach to determine fold change in IC50 values compared IC50s of test viruses to those of influenza type-specific NAI-susceptible reference viruses, tested in the same NI assay run (Table 1). Compared to the A/California/07/2009 (H1N1)pdm09 reference virus, all A (H1N1) pdm09 viruses (n = 449) exhibited normal inhibition by oseltamivir and zanamivir, with exception of eight isolates exhibiting highly reduced inhibition by oseltamivir. NA sequence analysis of these eight viruses revealed the H275Y oseltamivir resistance conferring substitution. Pyrosequencing and single-nucleotide polymorphism (SNP) analysis revealed that all eight viruses comprised 100% H275Y viral populations, with exception of one virus, A/Delaware/03/2012, which was a mix of 40% wild-type virus (H275) and 60% mutant (H275Y). All A (H3N2) viruses (n = 978) exhibited normal inhibition by oseltamivir and zanamivir (Table 1), with exception of A/New York/02/2012, which exhibited highly reduced inhibition by zanamivir, and had a Q136Q/K mix in the NA comprising 44% wild-type virus (Q136) and 56% mutant (Q136K). The Q136K substitution was not detected in matching original clinical specimen and is therefore considered a cell culture artifact.
Table 1

NA inhibition of influenza A and B viruses based on fold change in IC50 of test viruses assessed in the NA-Fluor™ NI assay

TypeSubtypeNA inhibitorsNA inhibition*Fold change in IC50 of test viruses (No. of viruses):
Amino acid changes in the NA
Approach #1**Approach #2Approach #3††
Influenza A (n = 1583)H1N1pdm09 (n = 449)OseltamivirNormal0–6 (441)0–6 (441)1–7 (441)
Reduced
Highly reduced319–1474 (8)182–1403 (8)213–1637 (8)H275Y
ZanamivirNormal0–6 (449)1–6 (449)1–6 (449)
Reduced
Highly reduced
H3N2 (n = 978)OseltamivirNormal0–4 (978)0–4 (978)0–7 (978)
Reduced
Highly reduced
ZanamivirNormal1–6 (977)1–6 (977)0–5 (977)
Reduced91 (1)
Highly reduced132 (1)132 (1)Q136Q/K
H3N2v (n = 156)OseltamivirNormal0–2 (155)0–1 (155)0–1 (155)
Reduced29 (1)25 (1)35 (1)S245N + S247P
Highly reduced
ZanamivirNormal2–5 (155)2–4 (155)0–1 (155)
Reduced70 (1)S245N + S247P
Highly reduced223 (1)199 (1)S245N + S247N
Influenza B (n = 343†††)OseltamivirNormal1–2 (112)0–3 (341)0–4 (342)
Reduced5–8 (2)6 (1)A200A/T; G70R + T72A
Highly reduced
ZanamivirNormal1–2 (112)1–3 (342)0–2 (342)
Reduced7 (1)5 (1)A200A/T
Highly reduced

Influenza A viruses – normal inhibition: <10-fold change; reduced inhibition: 10- to 100-fold change; highly reduced inhibition: >100-fold change. Influenza B viruses – normal inhibition: <5-fold change; reduced inhibition: 5- to 50-fold change; highly reduced inhibition: >50-fold change.

Fold changes determined by dividing IC50s of test viruses by IC50s of NAI-susceptible type-specific reference viruses tested in same assay. Reference viruses – A/California/07/2009 (H1N1)pdm09 H275 wild-type and B/Rochester/02/2001 D198 wild-type viruses.

Fold changes determined by dividing IC50s of test viruses by median IC50s of type-specific reference viruses from various assays (70 assays for A/California/07/2009 and 11 assays for B/Rochester/02/2001).

Fold changes determined by dividing IC50s of test viruses by median IC50s for virus type/subtype.

Includes 112 isolates tested in assays where influenza B reference viruses were included, and 231 isolates tested in assays without influenza B reference viruses.

NA inhibition of influenza A and B viruses based on fold change in IC50 of test viruses assessed in the NA-Fluor™ NI assay Influenza A viruses – normal inhibition: <10-fold change; reduced inhibition: 10- to 100-fold change; highly reduced inhibition: >100-fold change. Influenza B viruses – normal inhibition: <5-fold change; reduced inhibition: 5- to 50-fold change; highly reduced inhibition: >50-fold change. Fold changes determined by dividing IC50s of test viruses by IC50s of NAI-susceptible type-specific reference viruses tested in same assay. Reference viruses – A/California/07/2009 (H1N1)pdm09 H275 wild-type and B/Rochester/02/2001 D198 wild-type viruses. Fold changes determined by dividing IC50s of test viruses by median IC50s of type-specific reference viruses from various assays (70 assays for A/California/07/2009 and 11 assays for B/Rochester/02/2001). Fold changes determined by dividing IC50s of test viruses by median IC50s for virus type/subtype. Includes 112 isolates tested in assays where influenza B reference viruses were included, and 231 isolates tested in assays without influenza B reference viruses. All influenza B viruses (n = 112) tested in the same assay run as B/Rochester/02/2001 reference virus exhibited normal inhibition by oseltamivir and zanamivir in the first approach for determining IC50 fold change (Table 1). Of note, only 112 of the 343 influenza B isolates analyzed in this study were tested in assays incorporating the type B reference virus. The remaining isolates (n = 231) were tested in assays incorporating only the type A reference virus, which was standard practice at the CDC prior to the publication of the WHO-AVWG criteria. The CDC's algorithm for antiviral testing has since been revised to incorporate both type A and B reference viruses whenever both virus types are tested in the same assay. In the second approach to determine IC50 fold change, IC50s of test viruses were divided by a common reference IC50 value – the median IC50 of influenza type-specific reference viruses, derived from different NI assays (Table 1). The NA inhibition profiles for influenza A viruses were similar to those obtained using the previous approach. However, for influenza B viruses (n = 393), the isolate B/Alabama/03/2012, earlier characterized as showing normal inhibition by oseltamivir, exhibited reduced inhibition by the drug in the second approach. This isolate possessed the substitutions, G70R and T72A that are located at the stalk region of the NA, and therefore not expected to influence NA enzyme inhibition. Another isolate, B/California/03/2012, not among viruses analyzed by the first approach, exhibited reduced inhibition by oseltamivir and zanamivir by the second approach. This isolate possessed an A200A/T mix in the NA, comprising 69% wild-type (A200) and 31% mutant (A200T) viruses. The matching clinical specimen comprised 95% and 5% wild-type and mutant viruses, respectively, indicating that the A200T substitution provided some growth advantage in MDCK cells. The third approach to determine IC50 fold change which compared IC50s of test viruses with the median IC50 determined for the entire set of viruses of the same type and subtype (Table 1) yielded results similar to those of the previous approaches. However, A/New York/02/2012 with the Q136Q/K mix, previously characterized by the first and second approaches as showing highly reduced inhibition by zanamivir, exhibited only reduced inhibition. The isolate, B/Alabama/03/2012, with G70R and T72A substitutions, which exhibited normal and reduced inhibition by oseltamivir in the first two approaches, respectively, demonstrated normal inhibition by the drug in the third approach. Variant influenza A (H3N2)v viruses collected from an outbreak in humans during the study period were also analyzed (Table 1). All (H3N2)v isolates (n = 156) were interpreted as showing normal inhibition by oseltamivir and zanamivir compared to the respective median IC50s for A/California/07/2009 (H1N1)pdm09 reference virus. The exception was A/Ohio/88/2012, which demonstrated reduced inhibition by oseltamivir and highly reduced inhibition by zanamivir and possessed the NA changes, S245N and S247P. However, compared to respective median IC50s for oseltamivir and zanamivir among A (H3N2)v viruses, A/Ohio/88/2012 exhibited reduced inhibition by both drugs. The results of the standard statistical method used at the CDC to determine baseline IC50s and detect outliers for oseltamivir and zanamivir, for each virus type/subtype (Table 2), were consistent with IC50 data interpretations based on the WHO-AVWG criteria (Table 3). All extreme outliers for oseltamivir (n = 8) among A (H1N1) pdm09 viruses had the H275Y substitution and exhibited highly reduced inhibition by the drug. However, all A (H1N1)pdm09 viruses that were mild outliers for oseltamivir (n = 4) and zanamivir (n = 2) exhibited normal inhibition by the respective drugs. There were no extreme outliers for oseltamivir among A (H3N2) viruses, but the only extreme outlier for zanamivir among this subtype, A/New York/02/2012 with Q136Q/K mix in the NA, exhibited highly reduced inhibition by the drug. All mild outliers for oseltamivir (n = 27) and zanamivir (n = 30) among A (H3N2) viruses exhibited normal inhibition by both drugs. There were no extreme outliers for oseltamivir or zanamivir among B viruses, but the detected mild outliers for oseltamivir (n = 5) exhibited normal inhibition by the drug. The exception was one virus, B/California/03/2012 with A200A/T mix in the NA, which also a mild outlier for zanamivir and exhibited reduced inhibition by both NAIs.
Table 2

Statistical analyses of neuraminidase inhibitor susceptibility data of influenza viruses, assessed in the NA-Fluor™ NI assay

Influenza type and subtypeNAIIC50, nm
All isolates (including outliers)
Isolates (excluding outliers)
No. of isolates (n)*Min–Max**Q1***MedianQ3††IQR†††Statistical cutoffNo. of isolates (n)‡‡Min–Max‡‡‡Mean (±SD)§Median§§
A (H1N1) pdm09Oseltamivir4490·10–294·720·150·180·220·070·434370·10–0·410·19 ± 0·050·18
Zanamivir4490·10–1·030·150·170·190·040·314470·10–0·310·17 ± 0·030·17
A (H3N2)Oseltamivir9780·03–0·760·100·110·130·030·229510·03–0·220·11 ± 0·030·11
Zanamivir9780·12–23·750·220·260·300·080·549470·12–0·540·26 ± 0·070·25
A (H3N2)vOseltamivir1560·08–5·300·130·150·170·040·291550·08–0·210·15 ± 0·030·15
Zanamivir1560·27–35·740·460·510·600·141·021550·27–0·740·52 ± 0·090·51
BOseltamivir3430·83–53·026·498·5410·393·9022·093380·83–21·738·77 ± 3·138·51
Zanamivir3430·40–5·110·931·111·320·392·493420·40–2·381·14 ± 0·321·11

Tested isolates, including outliers.

Minimum to maximum IC50 values, all viruses.

Q1: first quartile (25th percentile), all viruses.

Median (Q2): second quartile (50th percentile), all viruses.

Q3: Third quartile (75th percentile; X0·75), all viruses.

IQR: Interquartile range (IQR=Q3-Q1).

Statistical IC50 cutoff for NAI susceptibility, set at 3 interquartile ranges (3IQR) from the 75th percentile (=X0·75 + 3IQR). Outliers with IC50 above cutoff and >10-fold mean IC50 of drug were characterized as extreme outliers. Mild outliers were isolates with IC50 >X0·75 + 3IQR, but >2-fold <10-fold that of the mean IC50 of the drug.

Number of isolates analyzed to determine mean and median drug IC50s, outliers excluded.

Minimum to maximum IC50 values, outliers excluded.

Mean and standard deviation (SD) of IC50 values, outliers excluded.

Median of IC50 values, outliers excluded.

Table 3

Statistical detection of outliers compared to WHO-AVWG criteria

Virus type/subtypeNA inhibitorOutlier typeNo. of outliers (n)IC50, nm (fold change)*NA inhibition**Amino acid changes in the NA (No. of outliers)***
A (H1N1)pdm09 (n = 449)OseltamivirExtreme838-27-294·72 (213–1637)Highly reducedH275Y (8)
Mild40·49–1·22 (3–6)NormalS110F (1); T135N + D292N (1)
ZanamivirMild20·36–1·03 (2–6)NormalS110F (1)
A (H3N2) (n = 978)OseltamivirMild270·23–0·76 (2–7)NormalI222T + D151D/N (1)
ZanamivirExtreme123·75 (91)ReducedQ136Q/K (1)
Mild300·55–1·28 (2–5)NormalD151D/N (1); T148I + D251V (1); T148T/I (1); D151D/N (1); D151D/G + D251V (1)
A (H3N2)v (n = 156)OseltamivirExtreme15·30 (35)ReducedS245N + S247P (1)
ZanamivirExtreme135·74 (70)ReducedS245N + S247P (1)
B (n = 343)OseltamivirMild153·02 (6)ReducedA200A/T (1)
Mild423·50–32·27 (3–4)NormalG70R + T72A (2); K343E (1); K107N + K343E (1)
ZanamivirMild15·11 (5)ReducedA200A/T (1)

Compared to median IC50 for drug by virus type/subtype.

Based on fold change determined by comparing IC50 of test viruses to the median IC50 by virus type/subtype.

Number of outliers with amino acid changes in the NA, based on available sequence information.

Statistical analyses of neuraminidase inhibitor susceptibility data of influenza viruses, assessed in the NA-Fluor™ NI assay Tested isolates, including outliers. Minimum to maximum IC50 values, all viruses. Q1: first quartile (25th percentile), all viruses. Median (Q2): second quartile (50th percentile), all viruses. Q3: Third quartile (75th percentile; X0·75), all viruses. IQR: Interquartile range (IQR=Q3-Q1). Statistical IC50 cutoff for NAI susceptibility, set at 3 interquartile ranges (3IQR) from the 75th percentile (=X0·75 + 3IQR). Outliers with IC50 above cutoff and >10-fold mean IC50 of drug were characterized as extreme outliers. Mild outliers were isolates with IC50 >X0·75 + 3IQR, but >2-fold <10-fold that of the mean IC50 of the drug. Number of isolates analyzed to determine mean and median drug IC50s, outliers excluded. Minimum to maximum IC50 values, outliers excluded. Mean and standard deviation (SD) of IC50 values, outliers excluded. Median of IC50 values, outliers excluded. Statistical detection of outliers compared to WHO-AVWG criteria Compared to median IC50 for drug by virus type/subtype. Based on fold change determined by comparing IC50 of test viruses to the median IC50 by virus type/subtype. Number of outliers with amino acid changes in the NA, based on available sequence information.

Discussion

Previously, the Global Neuraminidase Inhibitor Susceptibility Network (NISN), now known as the isirv Antiviral Group (isirv-AVG), set criteria for defining NAI resistance as either IC50 >3 standard deviations (SD) from the mean (or median) or IC50 >10-fold mean (or median) for the influenza type and subtype, and NAI.27 Various surveillance studies also set statistical criteria for the detection of outliers and interpretation of NAI susceptibility.20,24,26,28–30 In this study, the WHO-AVWG criteria were consistent with statistical methods we previously used 24 for detecting outliers among the influenza A and B viruses. The criteria enabled the detection of viruses carrying a well-characterized marker of oseltamivir resistance, H275Y, among eight influenza A (H1N1)pdm09 viruses, as well as viruses with cell culture-selected changes, such as Q136K, in one A (H3N2) virus. The WHO-AVWG criteria are beneficial for laboratory surveillance, because they facilitate sharing of phenotypic NAI susceptibility data globally in a simplified and overall reproducible way. However, translating the WHO-AVWG criteria from laboratory to national surveillance is not straightforward. At present, only those viruses that exhibit highly reduced inhibition in the NI assay and contain commonly detected molecular markers associated with laboratory resistance are reported as resistant in the CDC FluView weekly report on U.S. national influenza virological surveillance.31 Specifically, the substitutions H275Y in viruses of A (H1N1) and A (H1N1)pdm09 subtypes as well as E119V and R292K in A (H3N2) viruses are interpreted as molecular markers of oseltamivir resistance because such changes are repeatedly detected in viruses isolated from immunocompetent patients treated with oseltamivir.32 As more information is gained, viruses with other markers could be reported as resistant to oseltamivir and other NAIs. The WHO-AVWG criteria remain vague in that they do not specify the exact references to which test viruses should be compared to determine fold change in IC50. When a novel virus emerges, there is a need to assess and report its susceptibility to available antiviral medications. For atypical non-seasonal influenza A viruses, such as the A (H3N2)v that caused outbreaks of human illness in the United States in 2011–2012, there are no defined reference viruses susceptible to NAIs, against which their IC50s can be compared. The WHO-AVWG criteria do not address such situations. The A (H3N2)v virus with S245N and S247P substitutions, A/Ohio/88/2012, exhibited highly reduced inhibition by zanamivir when its IC50 for the drug was compared with that of the type A reference virus, but demonstrated reduced inhibition by the drug, when its IC50 was compared to the median IC50 for the A (H3N2)v subtype. Although desirable, using subtype-specific reference viruses, as opposed to type-specific viruses, may not be the optimal option because it increases the cost of testing and in certain instances only virus type, but not subtype, may be known at the time of testing. Determining baseline IC50s for atypical non-seasonal viruses may facilitate the assessment of NA inhibition against a mean/median IC50 for the virus subtype, but baseline IC50s may be difficult to accurately define for viruses that are rare in circulation due to small sample sizes. Comparing test virus IC50s to those of an influenza type-specific reference virus provides a streamlined option when reporting NI data to the GISRS.33 However, laboratories need to be aware that assay-to-assay fluctuation of IC50s for reference viruses may affect fold changes in IC50s for test viruses. However, using IC50s of reference viruses generated assay-by-assay is a good quality control measure that provides preliminary NA inhibition results and facilitates immediate detection of viruses that may need retesting in the NI assay, or further testing by genetic analysis. When analyzing a batch of viruses tested on different test dates, for example at the end of the surveillance period, it may be practical and prudent to use a common IC50 value for the NAI-susceptible reference viruses, such as the median IC50 or the mean (minus outliers) to determine fold changes in IC50. Of note, several A (H3N2) viruses characterized by the WHO-AVWG criteria as exhibiting normal inhibition by oseltamivir and zanamivir were detected as mild outliers for the respective NAIs based on the statistical-based method.24 These viruses had borderline IC50 fold changes just below 10-fold, the cutoff for normal inhibition. The available NA sequences for the mild outliers among A (H3N2) viruses revealed the presence of cell culture-selected changes at residue D151, which have been shown to increase IC50s in influenza A viruses.20,26,34 Nevertheless, by identifying outliers with NA changes, the statistical analysis provided additional insights, which may be relevant in certain instances. Therefore, it seems reasonable for the WHO Collaborating Centers that conduct high-throughput antiviral testing to continue performing statistical analyses in addition to applying the WHO-AVWG criteria. If experimental evidence supporting the significance of the NA changes detected in the mild outliers could be obtained, such changes would be added to the list of potential molecular markers of antiviral resistance,35 enabling the wider surveillance community to access this information, and include such markers in their monitoring algorithm. Although the WHO-AVWG criteria are expected to harmonize interpretation and reporting of IC50 data, there still remains a lack of consensus on the reference for determining IC50 fold changes in test viruses. Moreover, a clinically relevant IC50 cutoff value that would discriminate between clinically relevant NAI-susceptible and resistant viruses, regardless of the virus type/subtype or drug, is yet to be determined. Nevertheless, application of the WHO-AVWG criteria, coupled with NA sequence analysis of viruses characterized as having reduced and highly reduced inhibition by NAIs, provides a reliable approach to interpreting and reporting NI assay data across surveillance laboratories globally.

Conclusion

The application of the WHO-AVWG criteria to the NI assay data of U.S. viruses circulating during the 2011–2012 winter season was successful. The criteria provide a good framework for interpreting IC50 data; however, there is need for more evidence to support the interpretations and for further refinement. Continuous review and evaluation of the WHO-AVWG recommendations on NI methodology and testing algorithms will be beneficial to ensure that the criteria remain relevant and appropriate to circulating influenza viruses as more information becomes available.
  31 in total

1.  Update: infections with a swine-origin influenza A (H1N1) virus--United States and other countries, April 28, 2009.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2009-05-01       Impact factor: 17.586

2.  Meetings of the WHO working group on surveillance of influenza antiviral susceptibility – Geneva, November 2011 and June 2012.

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  2012-09-28

3.  Assessment of pandemic and seasonal influenza A (H1N1) virus susceptibility to neuraminidase inhibitors in three enzyme activity inhibition assays.

Authors:  Ha T Nguyen; Tiffany G Sheu; Vasiliy P Mishin; Alexander I Klimov; Larisa V Gubareva
Journal:  Antimicrob Agents Chemother       Date:  2010-06-28       Impact factor: 5.191

4.  Comprehensive assessment of 2009 pandemic influenza A (H1N1) virus drug susceptibility in vitro.

Authors:  Larisa V Gubareva; A Angelica Trujillo; Margaret Okomo-Adhiambo; Vasiliy P Mishin; Varough M Deyde; Katrina Sleeman; Ha T Nguyen; Tiffany G Sheu; Rebecca J Garten; Michael W Shaw; Alicia M Fry; Alexander I Klimov
Journal:  Antivir Ther       Date:  2010

5.  Emergence of H274Y oseltamivir-resistant A(H1N1) influenza viruses in Japan during the 2008-2009 season.

Authors:  Tatiana Baranovich; Reiko Saito; Yasushi Suzuki; Hassan Zaraket; Clyde Dapat; Isolde Caperig-Dapat; Taeko Oguma; Iman Ibrahim Shabana; Takehiko Saito; Hiroshi Suzuki
Journal:  J Clin Virol       Date:  2009-12-03       Impact factor: 3.168

6.  Surveillance for neuraminidase inhibitor resistance among human influenza A and B viruses circulating worldwide from 2004 to 2008.

Authors:  Tiffany G Sheu; Varough M Deyde; Margaret Okomo-Adhiambo; Rebecca J Garten; Xiyan Xu; Rick A Bright; Eboneé N Butler; Teresa R Wallis; Alexander I Klimov; Larisa V Gubareva
Journal:  Antimicrob Agents Chemother       Date:  2008-07-14       Impact factor: 5.191

7.  Host cell selection of influenza neuraminidase variants: implications for drug resistance monitoring in A(H1N1) viruses.

Authors:  Margaret Okomo-Adhiambo; Ha T Nguyen; Katrina Sleeman; Tiffany G Sheu; Varough M Deyde; Rebecca J Garten; Xiyan Xu; Michael W Shaw; Alexander I Klimov; Larisa V Gubareva
Journal:  Antiviral Res       Date:  2009-11-13       Impact factor: 5.970

8.  Detection of influenza viruses resistant to neuraminidase inhibitors in global surveillance during the first 3 years of their use.

Authors:  Arnold S Monto; Jennifer L McKimm-Breschkin; Catherine Macken; Alan W Hampson; Alan Hay; Alexander Klimov; Masato Tashiro; Robert G Webster; Michelle Aymard; Frederick G Hayden; Maria Zambon
Journal:  Antimicrob Agents Chemother       Date:  2006-07       Impact factor: 5.191

9.  Monitoring and characterization of oseltamivir-resistant pandemic (H1N1) 2009 virus, Japan, 2009-2010.

Authors:  Makoto Ujike; Miho Ejima; Akane Anraku; Kozue Shimabukuro; Masatsugu Obuchi; Noriko Kishida; Xu Hong; Emi Takashita; Seiichiro Fujisaki; Kazuyo Yamashita; Hiroshi Horikawa; Yumiko Kato; Akio Oguchi; Nobuyuki Fujita; Masato Tashiro; Takato Odagiri
Journal:  Emerg Infect Dis       Date:  2011-03       Impact factor: 6.883

10.  Oseltamivir-resistant influenza viruses A (H1N1), Norway, 2007-08.

Authors:  Siri H Hauge; Susanne Dudman; Katrine Borgen; Angie Lackenby; Olav Hungnes
Journal:  Emerg Infect Dis       Date:  2009-02       Impact factor: 6.883

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  16 in total

1.  Highly pathogenic avian influenza H7N9 viruses with reduced susceptibility to neuraminidase inhibitors showed comparable replication capacity to their sensitive counterparts.

Authors:  Jing Tang; Jing Zhang; Jianfang Zhou; Wenfei Zhu; Lei Yang; Shumei Zou; Hejiang Wei; Li Xin; Weijuan Huang; Xiyan Li; Yanhui Cheng; Dayan Wang
Journal:  Virol J       Date:  2019-07-02       Impact factor: 4.099

2.  Influenza viral load and peramivir kinetics after single administration and proposal of regimens for peramivir administration against resistant variants.

Authors:  Masatoki Sato; Masaki Ito; Shigeo Suzuki; Hiroko Sakuma; Aya Takeyama; Shinichi Oda; Masahiro Watanabe; Koichi Hashimoto; Kyohei Miyazaki; Yukihiko Kawasaki; Mitsuaki Hosoya
Journal:  Antimicrob Agents Chemother       Date:  2014-12-29       Impact factor: 5.191

3.  Unique Determinants of Neuraminidase Inhibitor Resistance among N3, N7, and N9 Avian Influenza Viruses.

Authors:  Min-Suk Song; Bindumadhav M Marathe; Gyanendra Kumar; Sook-San Wong; Adam Rubrum; Mark Zanin; Young-Ki Choi; Robert G Webster; Elena A Govorkova; Richard J Webby
Journal:  J Virol       Date:  2015-08-19       Impact factor: 5.103

4.  Screening for Neuraminidase Inhibitor Resistance Markers among Avian Influenza Viruses of the N4, N5, N6, and N8 Neuraminidase Subtypes.

Authors:  Won-Suk Choi; Ju Hwan Jeong; Jin Jung Kwon; Su Jeong Ahn; Khristine Kaith S Lloren; Hyeok-Il Kwon; Hee Bok Chae; Jungwon Hwang; Myung Hee Kim; Chul-Joong Kim; Richard J Webby; Elena A Govorkova; Young Ki Choi; Yun Hee Baek; Min-Suk Song
Journal:  J Virol       Date:  2017-12-14       Impact factor: 5.103

5.  E119D Neuraminidase Mutation Conferring Pan-Resistance to Neuraminidase Inhibitors in an A(H1N1)pdm09 Isolate From a Stem-Cell Transplant Recipient.

Authors:  Arnaud G L'Huillier; Yacine Abed; Tom J Petty; Samuel Cordey; Yves Thomas; Xavier Bouhy; Manuel Schibler; Audrey Simon; Yves Chalandon; Christian van Delden; Evgeny Zdobnov; Patricia Boquete-Suter; Guy Boivin; Laurent Kaiser
Journal:  J Infect Dis       Date:  2015-05-17       Impact factor: 5.226

6.  Profiling and characterization of influenza virus N1 strains potentially resistant to multiple neuraminidase inhibitors.

Authors:  Yun Hee Baek; Min-Suk Song; Eun-Young Lee; Young-il Kim; Eun-Ha Kim; Su-Jin Park; Kuk Jin Park; Hyeok-il Kwon; Philippe Noriel Q Pascua; Gyo-Jin Lim; Semi Kim; Sun-Woo Yoon; Myung Hee Kim; Richard J Webby; Young-Ki Choi
Journal:  J Virol       Date:  2014-10-15       Impact factor: 5.103

7.  Replication-Competent Influenza Virus and Respiratory Syncytial Virus Luciferase Reporter Strains Engineered for Co-Infections Identify Antiviral Compounds in Combination Screens.

Authors:  Dan Yan; Marco Weisshaar; Kristen Lamb; Hokyung K Chung; Michael Z Lin; Richard K Plemper
Journal:  Biochemistry       Date:  2015-09-01       Impact factor: 3.162

8.  The Set3 Complex Antagonizes the MYST Acetyltransferase Esa1 in the DNA Damage Response.

Authors:  Ana Lilia Torres-Machorro; Lauren G Clark; Christie S Chang; Lorraine Pillus
Journal:  Mol Cell Biol       Date:  2015-08-24       Impact factor: 4.272

9.  In Vitro Profiling of Laninamivir-Resistant Substitutions in N3 to N9 Avian Influenza Virus Neuraminidase Subtypes and Their Association with In Vivo Susceptibility.

Authors:  Ju Hwan Jeong; Won-Suk Choi; Khristine Joy C Antigua; Young Ki Choi; Elena A Govorkova; Richard J Webby; Yun Hee Baek; Min-Suk Song
Journal:  J Virol       Date:  2020-12-09       Impact factor: 5.103

10.  Orally Efficacious Broad-Spectrum Ribonucleoside Analog Inhibitor of Influenza and Respiratory Syncytial Viruses.

Authors:  Jeong-Joong Yoon; Mart Toots; Sujin Lee; Myung-Eun Lee; Barbara Ludeke; Jasmina M Luczo; Ketaki Ganti; Robert M Cox; Zachary M Sticher; Vindya Edpuganti; Deborah G Mitchell; Mark A Lockwood; Alexander A Kolykhalov; Alexander L Greninger; Martin L Moore; George R Painter; Anice C Lowen; Stephen M Tompkins; Rachel Fearns; Michael G Natchus; Richard K Plemper
Journal:  Antimicrob Agents Chemother       Date:  2018-07-27       Impact factor: 5.191

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