Last data update: May 13, 2024. (Total: 46773 publications since 2009)
Records 1-10 (of 10 Records) |
Query Trace: Halse TA[original query] |
---|
The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis
Walker TM , Fowler PW , Knaggs J , Hunt M , Peto TE , Walker AS , Crook DW , Walker TM , Miotto P , Cirillo DM , Kser CU , Knaggs J , Iqbal Z , Hunt M , Chindelevitch L , Farhat MR , Comas I , Comas I , Posey J , Omar SV , Peto TE , Walker AS , Crook DW , Suresh A , Uplekar S , Laurent S , Colman RE , Rodwell TC , Nathanson CM , Zignol M , Ismail N , Rodwell TC , Walker AS , Steyn AJC , Lalvani A , Baulard A , Christoffels A , Mendoza-Ticona A , Trovato A , Skrahina A , Lachapelle AS , Brankin A , Piatek A , GibertoniCruz A , Koch A , Cabibbe AM , Spitaleri A , Brandao AP , Chaiprasert A , Suresh A , Barbova A , VanRie A , Ghodousi A , Bainomugisa A , Mandal A , Roohi A , Javid B , Zhu B , Letcher B , Rodrigues C , Nimmo C , Nathanson CM , Duncan C , Coulter C , Utpatel C , Liu C , Grazian C , Kong C , Kser CU , Wilson DJ , Cirillo DM , Matias D , Jorgensen D , Zimenkov D , Chetty D , Moore DA , Clifton DA , Crook DW , vanSoolingen D , Liu D , Kohlerschmidt D , Barreira D , Ngcamu D , SantosLazaro ED , Kelly E , Borroni E , Roycroft E , Andre E , Bttger EC , Robinson E , Menardo F , Mendes FF , Jamieson FB , Coll F , Gao GF , Kasule GW , Rossolini GM , Rodger G , Smith EG , Meintjes G , Thwaites G , Hoffmann H , Albert H , Cox H , Laurenson IF , Comas I , Arandjelovic I , Barilar I , Robledo J , Millard J , Johnston J , Posey J , Andrews JR , Knaggs J , Gardy J , Guthrie J , Taylor J , Werngren J , Metcalfe J , Coronel J , Shea J , Carter J , Pinhata JM , Kus JV , Todt K , Holt K , Nilgiriwala KS , Ghisi KT , Malone KM , Faksri K , Musser KA , Joseph L , Rigouts L , Chindelevitch L , Jarrett L , Grandjean L , Ferrazoli L , Rodrigues M , Farhat M , Schito M , Fitzgibbon MM , Loemb MM , Wijkander M , Ballif M , Rabodoarivelo MS , Mihalic M , Wilcox M , Hunt M , Zignol M , Merker M , Egger M , O'Donnell M , Caws M , Wu MH , Whitfield MG , Inouye M , Mansj M , DangThi MH , Joloba M , Kamal SM , Okozi N , Ismail N , Mistry N , Hoang NN , Rakotosamimanana N , Paton NI , Rancoita PMV , Miotto P , Lapierre P , Hall PJ , Tang P , Claxton P , Wintringer P , Keller PM , Thai PVK , Fowler PW , Supply P , Srilohasin P , Suriyaphol P , Rathod P , Kambli P , Groenheit R , Colman RE , Ong RTH , Warren RM , Wilkinson RJ , Diel R , Oliveira RS , Khot R , Jou R , Tahseen S , Laurent S , Gharbia S , Kouchaki S , Shah S , Plesnik S , Earle SG , Dunstan S , Hoosdally SJ , Mitarai S , Gagneux S , Omar SV , Yao SY , GrandjeanLapierre S , Battaglia S , Niemann S , Pandey S , Uplekar S , Halse TA , Cohen T , Cortes T , Prammananan T , Kohl TA , Thuong NTT , Teo TY , Peto TEA , Rodwell TC , William T , Walker TM , Rogers TR , Surve U , Mathys V , Furi V , Cook V , Vijay S , Escuyer V , Dreyer V , Sintchenko V , Saphonn V , Solano W , Lin WH , vanGemert W , He W , Yang Y , Zhao Y , Qin Y , Xiao YX , Hasan Z , Iqbal Z , Puyen ZM , CryPticConsortium theSeq , Treat Consortium . Lancet Microbe 2022 3 (4) e265-e273 Background: Molecular diagnostics are considered the most promising route to achievement of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC). We aimed to generate a WHO-endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. Methods: In this systematic analysis, we used a candidate gene approach to identify mutations associated with resistance or consistent with susceptibility for 13 WHO-endorsed antituberculosis drugs. We collected existing worldwide MTBC whole-genome sequencing data and phenotypic data from academic groups and consortia, reference laboratories, public health organisations, and published literature. We categorised phenotypes as follows: methods and critical concentrations currently endorsed by WHO (category 1); critical concentrations previously endorsed by WHO for those methods (category 2); methods or critical concentrations not currently endorsed by WHO (category 3). For each mutation, we used a contingency table of binary phenotypes and presence or absence of the mutation to compute positive predictive value, and we used Fisher's exact tests to generate odds ratios and Benjamini-Hochberg corrected p values. Mutations were graded as associated with resistance if present in at least five isolates, if the odds ratio was more than 1 with a statistically significant corrected p value, and if the lower bound of the 95% CI on the positive predictive value for phenotypic resistance was greater than 25%. A series of expert rules were applied for final confidence grading of each mutation. Findings: We analysed 41 137 MTBC isolates with phenotypic and whole-genome sequencing data from 45 countries. 38 215 MTBC isolates passed quality control steps and were included in the final analysis. 15 667 associations were computed for 13 211 unique mutations linked to one or more drugs. 1149 (73%) of 15 667 mutations were classified as associated with phenotypic resistance and 107 (07%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was more than 80%. Specificity was over 95% for all drugs except ethionamide (914%), moxifloxacin (916%) and ethambutol (933%). Only two resistance mutations were identified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. Interpretation: We present the first WHO-endorsed catalogue of molecular targets for MTBC drug susceptibility testing, which is intended to provide a global standard for resistance interpretation. The existence of this catalogue should encourage the implementation of molecular diagnostics by national tuberculosis programmes. Funding: Unitaid, Wellcome Trust, UK Medical Research Council, and Bill and Melinda Gates Foundation. 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license |
Towards Unified Data Exchange Formats for Reporting Molecular Drug Susceptibility Testing.
Bonney W , Price SF , Abhyankar S , Merrick R , Hampole V , Halse TA , DiDonato C , Dalton T , Metchock B , Starks AM , Miramontes R . Online J Public Health Inform 2020 12 (2) e14 BACKGROUND: With the rapid development of new advanced molecular detection methods, identification of new genetic mutations conferring pathogen resistance to an ever-growing variety of antimicrobial substances will generate massive genomic datasets for public health and clinical laboratories. Keeping up with specialized standard coding for these immense datasets will be extremely challenging. This challenge prompted our effort to create a common molecular resistance Logical Observation Identifiers Names and Codes (LOINC) panel that can be used to report any identified antimicrobial resistance pattern. OBJECTIVE: To develop and utilize a common molecular resistance LOINC panel for molecular drug susceptibility testing (DST) data exchange in the U.S. National Tuberculosis Surveillance System using California Department of Public Health (CDPH) and New York State Department of Health as pilot sites. METHODS: We developed an interface and mapped incoming molecular DST data to the common molecular resistance LOINC panel using Health Level Seven (HL7) v2.5.1 Electronic Laboratory Reporting (ELR) message specifications through the Orion Health™ Rhapsody Integration Engine v6.3.1. RESULTS: Both pilot sites were able to process and upload/import the standardized HL7 v2.5.1 ELR messages into their respective systems; albeit CDPH identified areas for system improvements and has focused efforts to streamline the message importation process. Specifically, CDPH is enhancing their system to better capture parent-child elements and ensure that the data collected can be accessed seamlessly by the U.S. Centers for Disease Control and Prevention. DISCUSSION: The common molecular resistance LOINC panel is designed to be generalizable across other resistance genes and ideally also applicable to other disease domains. CONCLUSION: The study demonstrates that it is possible to exchange molecular DST data across the continuum of disparate healthcare information systems in integrated public health environments using the common molecular resistance LOINC panel. |
Carriage of Neisseria meningitidis in men who have sex with men presenting to public sexual health clinics, New York City.
Ngai S , Weiss D , Bell JA , Majrud D , Zayas G , Crawley A , Kornblum J , Rodriguez-Rivera LD , Quinlan T , Halse TA , Retchless AC , MacNeil J , Pathela P . Sex Transm Dis 2020 47 (8) 541-548 BACKGROUND: We conducted a N. meningitidis (Nm) carriage study among men who have sex with men (MSM) to explore possible sexual transmission. METHODS: We paired information on patient characteristics with oropharyngeal, rectal, and urethral Nm culture results to assess associations with Nm carriage among 706 MSM at New York City sexual health clinics. Nm isolates were characterized by whole genome sequencing. RESULTS: Twenty-three percent (163/706) of MSM were Nm carriers. Oropharyngeal carriage was 22.6% (159/703), rectal 0.9% (6/695), and urethral 0.4% (3/696). Oropharyngeal carriage was associated with the following recent (past 30 days) exposures: >3 men kissed (adjusted relative risk (aRR) 1.38; 95% confidence interval [CI] 1.03-1.86), performing oral sex (aRR 1.81; 95% CI 1.04-3.18), and antibiotic use (aRR 0.33; 95% CI 0.19-0.57). Sixteen clonal complexes were identified; 27% belonged to invasive lineages. CONCLUSIONS: Our findings suggest that oral sex and the number of recent kissing partners contribute to Nm carriage in MSM. |
Neonatal conjunctivitis caused by Neisseria meningitidis US urethritis clade, New York, USA, August 2017
Kretz CB , Bergeron G , Aldrich M , Bloch D , Del Rosso PE , Halse TA , Ostrowsky B , Liu Q , Gonzalez E , Omoregie E , Chicaiza L , Zayas G , Tha B , Liang A , Wang JC , Levi M , Hughes S , Musser KA , Weiss D , Rakeman JL . Emerg Infect Dis 2019 25 (5) 972-975 We characterized a case of neonatal conjunctivitis in New York, USA, caused by Neisseria meningitidis by using whole-genome sequencing. The case was a rare occurrence, and the isolate obtained belonged to an emerging clade (N. meningitidis US nongroupable urethritis) associated with an increase in cases of urethritis since 2015. |
Lymphogranuloma venereum: an increasingly common anorectal infection among men who have sex with men attending New York City Sexual Health Clinics
Pathela P , Jamison K , Kornblum J , Quinlan T , Halse TA , Schillinger JA . Sex Transm Dis 2018 46 (2) e14-e17 Using Chlamydia trachomatis anorectal specimens routinely tested for LGV (2008-2011) and samples of archived specimens tested for LGV (2012-2015), we observed increased LGV positivity among men-who-have-sex-with-men attending NYC Sexual Health Clinics. Using clinical data, we determined predictors of anorectal LGV that may guide clinical management. |
Bordetella pertussis Strain Lacking Pertactin and Pertussis Toxin.
Williams MM , Sen K , Weigand MR , Skoff TH , Cunningham VA , Halse TA , Tondella ML . Emerg Infect Dis 2016 22 (2) 319-22 A Bordetella pertussis strain lacking 2 acellular vaccine immunogens, pertussis toxin and pertactin, was isolated from an unvaccinated infant in New York State in 2013. Comparison with a French strain that was pertussis toxin-deficient, pertactin wild-type showed that the strains carry the same 28-kb deletion in similar genomes. |
Comparative Analytical Evaluation of the Respiratory TaqMan Array Card with Real-Time PCR and Commercial Multi-Pathogen Assays.
Harvey JJ , Chester S , Burke SA , Ansbro M , Aden T , Gose R , Sciulli R , Bai J , DesJardin L , Benfer JL , Hall J , Smole S , Doan K , Popowich MD , St George K , Quinlan T , Halse TA , Li Z , Perez-Osorio AC , Glover WA , Russell D , Reisdorf E , Whyte T Jr , Whitaker B , Hatcher C , Srinivasan V , Tatti K , Tondella ML , Wang X , Winchell JM , Mayer LW , Jernigan D , Mawle AC . J Virol Methods 2015 228 151-7 In this study, a multicenter evaluation of the Life Technologies TaqMan(R) Array Card (TAC) with 21 custom viral and bacterial respiratory assays was performed on the Applied Biosystems ViiA 7 Real-Time PCR System. The goal of the study was to demonstrate the analytical performance of this platform when compared to identical individual pathogen specific laboratory developed tests (LDTs) designed at the Centers for Disease Control and Prevention (CDC), equivalent LDTs provided by state public health laboratories, or to three different commercial multi-respiratory panels. CDC and Association of Public Health Laboratories (APHL) LDTs had similar analytical sensitivities for viral pathogens, while several of the bacterial pathogen APHL LDTs demonstrated sensitivities one log higher than the corresponding CDC LDT. When compared to CDC LDTs, TAC assays were generally one to two logs less sensitive depending on the site performing the analysis. Finally, TAC assays were generally more sensitive than their counterparts in three different commercial multi-respiratory panels. TAC technology allows users to spot customized assays and design TAC layout, simplify assay setup, conserve specimen, dramatically reduce contamination potential, and as demonstrated in this study, analyze multiple samples in parallel with good reproducibility between instruments and operators. |
Postmortem diagnosis of invasive meningococcal disease
Ridpath AD , Halse TA , Musser KA , Wroblewski D , Paddock CD , Shieh WJ , Pasquale-Styles M , Scordi-Bello I , Del Rosso PE , Weiss D . Emerg Infect Dis 2014 2014 (3) 453-5 We diagnosed invasive meningococcal disease by using immunohistochemical staining of embalmed tissue and PCR of vitreous humor from 2 men in New York City. Because vitreous humor is less subject than other body fluids to putrefaction, it is a good material for postmortem analysis. |
Enhanced identification and characterization of non-O157 shiga toxin-producing Escherichia coli: a six-year study
Mingle LA , Garcia DL , Root TP , Halse TA , Quinlan TM , Armstrong LR , Chiefari AK , Schoonmaker-Bopp DJ , Dumas NB , Limberger RJ , Musser KA . Foodborne Pathog Dis 2012 9 (11) 1028-36 Non-O157 Shiga toxin-producing Escherichia coli (STEC) are emerging pathogens with the potential to cause serious illness and impact public health due to diagnostic challenges. Between 2005 and 2010, the Wadsworth Center (WC), the public health laboratory of the New York State (NYS) Department of Health, requested that Shiga toxin enzyme immunoassay (EIA)-positive stool enrichment broths and/or stool specimens be submitted by clinical and commercial reference laboratories testing NYS patient specimens. A total of 798 EIA-positive specimens were received for confirmation and serotyping, and additionally a subset of STEC was assessed for the presence of six virulence genes (stx1, stx2, eaeA, hlyA, nleA, and nleB) by real-time polymerase chain reaction. We confirmed 591 specimens as STEC, 164 (28%) as O157 STEC, and 427 (72%) as non-O157 STEC. Of the non-O157 STEC serogroups identified, over 70% were O103, O26, O111, O45, O121, or O145. During this time period, WC identified and characterized a total of 1282 STEC received as E. coli isolates, stool specimens, or EIA broths. Overall, the STEC testing identified 59% as O157 STEC and 41% as non-O157 STEC; however, out of 600 isolates submitted to the WC as E. coli cultures, 543 (90%) were identified as O157 STEC. This report summarizes a 6-year study utilizing enhanced STEC testing that resulted in increased identification and characterization of non-O157 STEC in NYS. Continued utilization of enhanced STEC testing may lead to effective and timely outbreak response and improve monitoring of trends in STEC disease epidemiology. |
Public health approach to detection of non-O157 Shiga toxin-producing Escherichia coli: summary of two outbreaks and laboratory procedures
Schaffzin JK , Coronado F , Dumas NB , Root TP , Halse TA , Schoonmaker-Bopp DJ , Lurie MM , Nicholas D , Gerzonich B , Johnson GS , Wallace BJ , Musser KA . Epidemiol Infect 2011 140 (2) 1-7 SUMMARY: Routine laboratory testing may not detect non-O157 Shiga toxin-producing Escherichia coli (STEC) reliably. Active clinical, epidemiological, environmental health, and laboratory collaboration probably influence successful detection and study of non-O157 STEC infection. We summarized two outbreak investigations in which such coordinated efforts identified non-O157 STEC disease and led to effective control measures. Outbreak 1 involved illness associated with consuming unpasteurized apple cider from a local orchard. Public health personnel were notified by a local hospital; stool specimens from ill persons contained O111 STEC. Outbreak 2 involved bloody diarrhoea at a correctional facility. Public health personnel were notified by the facility infection control officer; O45 STEC was the implicated agent. These reports highlight the ability of non-O157 STEC to cause outbreaks and demonstrate that a coordinated effort by clinicians, infection-control practitioners, clinical diagnostic laboratorians, and public health personnel can lead to effective identification, investigation, and prevention of non-O157 STEC disease. |
- Page last reviewed:Feb 1, 2024
- Page last updated:May 13, 2024
- Content source:
- Powered by CDC PHGKB Infrastructure