Last data update: Apr 22, 2024. (Total: 46599 publications since 2009)
Records 1-30 (of 77 Records) |
Query Trace: Xin X [original query] |
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MicroRNA-based discovery of biomarkers, therapeutic targets, and repositioning drugs for breast cancer
Ye Q , Raese RA , Luo D , Feng J , Xin W , Dong C , Qian Y , Guo NL . Cells 2023 12 (14) Breast cancer treatment can be improved with biomarkers for early detection and individualized therapy. A set of 86 microRNAs (miRNAs) were identified to separate breast cancer tumors from normal breast tissues (n = 52) with an overall accuracy of 90.4%. Six miRNAs had concordant expression in both tumors and breast cancer patient blood samples compared with the normal control samples. Twelve miRNAs showed concordant expression in tumors vs. normal breast tissues and patient survival (n = 1093), with seven as potential tumor suppressors and five as potential oncomiRs. From experimentally validated target genes of these 86 miRNAs, pan-sensitive and pan-resistant genes with concordant mRNA and protein expression associated with in-vitro drug response to 19 NCCN-recommended breast cancer drugs were selected. Combined with in-vitro proliferation assays using CRISPR-Cas9/RNAi and patient survival analysis, MEK inhibitors PD19830 and BRD-K12244279, pilocarpine, and tremorine were discovered as potential new drug options for treating breast cancer. Multi-omics biomarkers of response to the discovered drugs were identified using human breast cancer cell lines. This study presented an artificial intelligence pipeline of miRNA-based discovery of biomarkers, therapeutic targets, and repositioning drugs that can be applied to many cancer types. |
Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing.
Allix-Béguec C , Arandjelovic I , Bi L , Beckert P , Bonnet M , Bradley P , Cabibbe AM , Cancino-Muñoz I , Caulfield MJ , Chaiprasert A , Cirillo DM , Clifton DA , Comas I , Crook DW , De Filippo MR , de Neeling H , Diel R , Drobniewski FA , Faksri K , Farhat MR , Fleming J , Fowler P , Fowler TA , Gao Q , Gardy J , Gascoyne-Binzi D , Gibertoni-Cruz AL , Gil-Brusola A , Golubchik T , Gonzalo X , Grandjean L , He G , Guthrie JL , Hoosdally S , Hunt M , Iqbal Z , Ismail N , Johnston J , Khanzada FM , Khor CC , Kohl TA , Kong C , Lipworth S , Liu Q , Maphalala G , Martinez E , Mathys V , Merker M , Miotto P , Mistry N , Moore DAJ , Murray M , Niemann S , Omar SV , Ong RT , Peto TEA , Posey JE , Prammananan T , Pym A , Rodrigues C , Rodrigues M , Rodwell T , Rossolini GM , Sánchez Padilla E , Schito M , Shen X , Shendure J , Sintchenko V , Sloutsky A , Smith EG , Snyder M , Soetaert K , Starks AM , Supply P , Suriyapol P , Tahseen S , Tang P , Teo YY , Thuong TNT , Thwaites G , Tortoli E , van Soolingen D , Walker AS , Walker TM , Wilcox M , Wilson DJ , Wyllie D , Yang Y , Zhang H , Zhao Y , Zhu B . N Engl J Med 2018 379 (15) 1403-1415 BACKGROUND: The World Health Organization recommends drug-susceptibility testing of Mycobacterium tuberculosis complex for all patients with tuberculosis to guide treatment decisions and improve outcomes. Whether DNA sequencing can be used to accurately predict profiles of susceptibility to first-line antituberculosis drugs has not been clear. METHODS: We obtained whole-genome sequences and associated phenotypes of resistance or susceptibility to the first-line antituberculosis drugs isoniazid, rifampin, ethambutol, and pyrazinamide for isolates from 16 countries across six continents. For each isolate, mutations associated with drug resistance and drug susceptibility were identified across nine genes, and individual phenotypes were predicted unless mutations of unknown association were also present. To identify how whole-genome sequencing might direct first-line drug therapy, complete susceptibility profiles were predicted. These profiles were predicted to be susceptible to all four drugs (i.e., pansusceptible) if they were predicted to be susceptible to isoniazid and to the other drugs or if they contained mutations of unknown association in genes that affect susceptibility to the other drugs. We simulated the way in which the negative predictive value changed with the prevalence of drug resistance. RESULTS: A total of 10,209 isolates were analyzed. The largest proportion of phenotypes was predicted for rifampin (9660 [95.4%] of 10,130) and the smallest was predicted for ethambutol (8794 [89.8%] of 9794). Resistance to isoniazid, rifampin, ethambutol, and pyrazinamide was correctly predicted with 97.1%, 97.5%, 94.6%, and 91.3% sensitivity, respectively, and susceptibility to these drugs was correctly predicted with 99.0%, 98.8%, 93.6%, and 96.8% specificity. Of the 7516 isolates with complete phenotypic drug-susceptibility profiles, 5865 (78.0%) had complete genotypic predictions, among which 5250 profiles (89.5%) were correctly predicted. Among the 4037 phenotypic profiles that were predicted to be pansusceptible, 3952 (97.9%) were correctly predicted. CONCLUSIONS: Genotypic predictions of the susceptibility of M. tuberculosis to first-line drugs were found to be correlated with phenotypic susceptibility to these drugs. (Funded by the Bill and Melinda Gates Foundation and others.). |
Influence of impurities from manufacturing process on the toxicity profile of boron nitride nanotubes
Kodali V , Kim KS , Roberts JR , Bowers L , Wolfarth MG , Hubczak J , Xin X , Eye T , Friend S , Stefaniak AB , Leonard SS , Jakubinek M , Erdely A . Small 2022 18 (52) e2203259 The toxicity of boron nitride nanotubes (BNNTs) has been the subject of conflicting reports, likely due to differences in the residuals and impurities that can make up to 30-60% of the material produced based on the manufacturing processes and purification employed. Four BNNTs manufactured by induction thermal plasma process with a gradient of BNNT purity levels achieved through sequential gas purification, water and solvent washing, allowed assessing the influence of these residuals/impurities on the toxicity profile of BNNTs. Extensive characterization including infrared and X-ray spectroscopy, thermogravimetric analysis, size, charge, surface area, and density captured the alteration in physicochemical properties as the material went through sequential purification. The material from each step is screened using acellular and in vitro assays for evaluating general toxicity, mechanisms of toxicity, and macrophage function. As the material increased in purity, there are more high-aspect-ratio particulates and a corresponding distinct increase in cytotoxicity, nuclear factor-κB transcription, and inflammasome activation. There is no alteration in macrophage function after BNNT exposure with all purity grades. The cytotoxicity and mechanism of screening clustered with the purity grade of BNNTs, illustrating that greater purity of BNNT corresponds to greater toxicity. |
Using Neisseria meningitidis genomic diversity to inform outbreak strain identification.
Retchless AC , Chen A , Chang HY , Blain AE , McNamara LA , Mustapha MM , Harrison LH , Wang X . PLoS Pathog 2021 17 (5) e1009586 Meningococcal disease is a life-threatening illness caused by the human-restricted bacterium Neisseria meningitidis. Outbreaks in the USA involve at least two cases in an organization or community caused by the same serogroup within three months. Genome comparisons, including phylogenetic analysis and quantification of genome distances can provide confirmatory evidence of pathogen transmission during an outbreak. Interpreting genome distances depends on understanding their distribution both among isolates from outbreaks and among those not from outbreaks. Here, we identify outbreak strains based on phylogenetic relationships among 141 N. meningitidis isolates collected from 28 outbreaks in the USA during 2010-2017 and 1516 non-outbreak isolates collected through contemporaneous meningococcal surveillance. We show that genome distance thresholds based on the maximum SNPs and allele distances among isolates in the phylogenetically defined outbreak strains are sufficient to separate most pairs of non-outbreak isolates into separate strains. Non-outbreak isolate pairs that could not be distinguished from each other based on genetic distances were concentrated in the clonal complexes CC11, CC103, and CC32. Within each of these clonal complexes, phylodynamic analysis identified a group of isolates with extremely low diversity, collected over several years and multiple states. Clusters of isolates with low genetic diversity could indicate increased pathogen transmission, potentially resulting in local outbreaks or nationwide clonal expansions. |
Genetic Diversity of Meningococcal Serogroup B Vaccine Antigens among Carriage Isolates Collected from Students at Three Universities in the United States, 2015-2016.
Marjuki H , Chang HY , Topaz N , Whaley MJ , Vuong J , Chen A , Jenkins LT , Hu F , Schmink S , Retchless AC , Thomas JD , Acosta AM , McNamara LA , Soeters HM , Mbaeyi S , Wang X . mBio 2021 12 (3) Carriage evaluations were conducted during 2015 to 2016 at two U.S. universities in conjunction with the response to disease outbreaks caused by Neisseria meningitidis serogroup B and at a university where outbreak and response activities had not occurred. All eligible students at the two universities received the serogroup B meningococcal factor H binding protein vaccine (MenB-FHbp); 5.2% of students (181/3,509) at one university received MenB-4C. A total of 1,514 meningococcal carriage isolates were obtained from 8,905 oropharyngeal swabs from 7,001 unique participants. Whole-genome sequencing data were analyzed to understand MenB-FHbp's impact on carriage and antigen genetic diversity and distribution. Of 1,422 isolates from carriers with known vaccination status (726 [51.0%] from MenB-FHbp-vaccinated, 42 [3.0%] from MenB-4C-vaccinated, and 654 [46.0%] from unvaccinated participants), 1,406 (98.9%) had intact fHbp alleles (716 from MenB-FHbp-vaccinated participants). Of 726 isolates from MenB-FHbp-vaccinated participants, 250 (34.4%) harbored FHbp peptides that may be covered by MenB-FHbp. Genogroup B was detected in 122/1,422 (8.6%) and 112/1,422 (7.9%) isolates from MenB-FHbp-vaccinated and unvaccinated participants, respectively. FHbp subfamily and peptide distributions between MenB-FHbp-vaccinated and unvaccinated participants were not statistically different. Eighteen of 161 MenB-FHbp-vaccinated repeat carriers (11.2%) acquired a new strain containing one or more new vaccine antigen peptides during multiple rounds of sample collection, which was not statistically different (P = 0.3176) from the unvaccinated repeat carriers (1/30; 3.3%). Our findings suggest that lack of MenB vaccine impact on carriage was not due to missing the intact fHbp gene; MenB-FHbp did not affect antigen genetic diversity and distribution during the study period.IMPORTANCE The impact of serogroup B meningococcal (MenB) vaccines on carriage is not completely understood. Using whole-genome sequencing data, we assessed the diversity and distribution of MenB vaccine antigens (particularly FHbp) among 1,514 meningococcal carriage isolates recovered from vaccinated and unvaccinated students at three U.S. universities, two of which underwent MenB-FHbp mass vaccination campaigns following meningococcal disease outbreaks. The majority of carriage isolates recovered from participants harbored intact fHbp genes, about half of which were recovered from MenB-FHbp-vaccinated participants. The distribution of vaccine antigen peptides was similar among carriage isolates recovered from vaccinated and unvaccinated participants, and almost all strains recovered from repeat carriers retained the same vaccine antigen profile, suggesting insignificant vaccine selective pressure on the carriage population in these universities. |
Acquisition of ciprofloxacin resistance among an expanding clade of β-lactamase positive, serogroup Y Neisseria meningitidis in the United States.
Potts CC , Retchless AC , McNamara LA , Marasini D , Reese N , Swint S , Hu F , Sharma S , Blain AE , Lonsway D , Karlsson M , Hariri S , Fox LM , Wang X . Clin Infect Dis 2021 73 (7) 1185-1193 BACKGROUND: Penicillin and ciprofloxacin are important for invasive meningococcal disease (IMD) management and prevention. IMD cases caused by penicillin- and ciprofloxacin-resistant Neisseria meningitidis containing a ROB-1 β-lactamase gene (blaROB-1) and a mutated DNA gyrase gene (gyrA), have been recently reported in the USA. METHODS: We examined 2097 meningococcal genomes collected through US population-based surveillance from January 2011-February 2020 to identify IMD cases caused by strains with blaROB-1 or gyrA-mediated resistance. Antimicrobial resistance was confirmed phenotypically. The US isolate genomes were compared to non-US isolate genomes containing blaROB-1. Interspecies transfer of ciprofloxacin resistance was assessed by comparing gyrA among Neisseria species. RESULTS: Eleven penicillin- and ciprofloxacin-resistant isolates were identified after December 2018; all were serogroup Y, sequence type 3587, clonal complex (CC) 23, and contained blaROB-1 and a T91I-containing gyrA allele. An additional 22 penicillin-resistant, blaROB-1-containing US isolates with wild-type gyrA were identified from 2013-2020. All 33 blaROB-1-containing isolates formed a single clade, along with 12 blaROB-1-containing isolates from six other countries. Two-thirds of blaROB-1-containing US isolates were from Hispanic individuals. Twelve additional ciprofloxacin-resistant isolates with gyrA T91 mutations were identified. Ciprofloxacin-resistant isolates belonged to six CCs and contained 10 unique gyrA alleles; seven were similar or identical to alleles from N. lactamica or N. gonorrhoeae. CONCLUSIONS: Recent IMD cases caused by a dual resistant serogroup Y suggest changing antimicrobial resistance patterns in the USA. The emerging dual-resistance is due to acquisition of ciprofloxacin resistance by β-lactamase-containing N. meningitidis. Routine antimicrobial resistance surveillance will effectively monitor resistance changes and spread. |
Molecular diagnostic assays for the detection of common bacterial meningitis pathogens: A narrative review.
Diallo K , Feteh VF , Ibe L , Antonio M , Caugant DA , du Plessis M , Deghmane AE , Feavers IM , Fernandez K , Fox LM , Rodrigues CMC , Ronveaux O , Taha MK , Wang X , Brueggemann AB , Maiden MCJ , Harrison OB . EBioMedicine 2021 65 103274 Bacterial meningitis is a major global cause of morbidity and mortality. Rapid identification of the aetiological agent of meningitis is essential for clinical and public health management and disease prevention given the wide range of pathogens that cause the clinical syndrome and the availability of vaccines that protect against some, but not all, of these. Since microbiological culture is complex, slow, and often impacted by prior antimicrobial treatment of the patient, molecular diagnostic assays have been developed for bacterial detection. Distinguishing between meningitis caused by Neisseria meningitidis (meningococcus), Streptococcus pneumoniae (pneumococcus), Haemophilus influenzae, and Streptococcus agalactiae and identifying their polysaccharide capsules is especially important. Here, we review methods used in the identification of these bacteria, providing an up-to-date account of available assays, allowing clinicians and diagnostic laboratories to make informed decisions about which assays to use. |
Benzene Derivatives from Ink Lead to False Positive Results in Neonatal Hyperphenylalaninemia Screening with Ninhydrin Fluorometric Method.
Feng Shuren, Mei Joanne, Yang Lu, Luo Ping, Wang Xiaonan, Wang Yuan, Yao Jingyi, Cui Lan, Pan Lei, Wang Zefang, Xin Li. International journal of neonatal screening 2020 Feb 6(1) . International journal of neonatal screening 2020 Feb 6(1) Feng Shuren, Mei Joanne, Yang Lu, Luo Ping, Wang Xiaonan, Wang Yuan, Yao Jingyi, Cui Lan, Pan Lei, Wang Zefang, Xin Li. International journal of neonatal screening 2020 Feb 6(1) |
Web-Based Genome Analysis of Bacterial Meningitis Pathogens for Public Health Applications Using the Bacterial Meningitis Genomic Analysis Platform (BMGAP).
Buono SA , Kelly RJ , Topaz N , Retchless AC , Silva H , Chen A , Ramos E , Doho G , Khan AN , Okomo-Adhiambo MA , Hu F , Marasini D , Wang X . Front Genet 2020 11 601870 Effective laboratory-based surveillance and public health response to bacterial meningitis depends on timely characterization of bacterial meningitis pathogens. Traditionally, characterizing bacterial meningitis pathogens such as Neisseria meningitidis (Nm) and Haemophilus influenzae (Hi) required several biochemical and molecular tests. Whole genome sequencing (WGS) has enabled the development of pipelines capable of characterizing the given pathogen with equivalent results to many of the traditional tests. Here, we present the Bacterial Meningitis Genomic Analysis Platform (BMGAP): a secure, web-accessible informatics platform that facilitates automated analysis of WGS data in public health laboratories. BMGAP is a pipeline comprised of several components, including both widely used, open-source third-party software and customized analysis modules for the specific target pathogens. BMGAP performs de novo draft genome assembly and identifies the bacterial species by whole-genome comparisons against a curated reference collection of 17 focal species including Nm, Hi, and other closely related species. Genomes identified as Nm or Hi undergo multi-locus sequence typing (MLST) and capsule characterization. Further typing information is captured from Nm genomes, such as peptides for the vaccine antigens FHbp, NadA, and NhbA. Assembled genomes are retained in the BMGAP database, serving as a repository for genomic comparisons. BMGAP's species identification and capsule characterization modules were validated using PCR and slide agglutination from 446 bacterial invasive isolates (273 Nm from nine different serogroups, 150 Hi from seven different serotypes, and 23 from nine other species) collected from 2017 to 2019 through surveillance programs. Among the validation isolates, BMGAP correctly identified the species for all 440 isolates (100% sensitivity and specificity) and accurately characterized all Nm serogroups (99% sensitivity and 98% specificity) and Hi serotypes (100% sensitivity and specificity). BMGAP provides an automated, multi-species analysis pipeline that can be extended to include additional analysis modules as needed. This provides easy-to-interpret and validated Nm and Hi genome analysis capacity to public health laboratories and collaborators. As the BMGAP database accumulates more genomic data, it grows as a valuable resource for rapid comparative genomic analyses during outbreak investigations. |
Molecular insights into meningococcal carriage isolates from Burkina Faso 7 years after introduction of a serogroup A meningococcal conjugate vaccine.
Topaz N , Kristiansen PA , Schmink S , Congo-Ouédraogo M , Kambiré D , Mbaeyi S , Paye M , Sanou M , Sangaré L , Ouédraogo R , Wang X . Microb Genom 2020 6 (12) In 2010, Burkina Faso completed the first nationwide mass-vaccination campaign of a meningococcal A conjugate vaccine, drastically reducing the incidence of disease caused by serogroup A meningococci. Since then, other strains, such as those belonging to serogroups W, X and C, have continued to cause outbreaks within the region. A carriage study was conducted in 2016 and 2017 in the country to characterize the meningococcal strains circulating among healthy individuals following the mass-vaccination campaign. Four cross-sectional carriage evaluation rounds were conducted in two districts of Burkina Faso, Kaya and Ouahigouya. Oropharyngeal swabs were collected for the detection of Neisseria meningitidis by culture. Confirmed N. meningitidis isolates underwent whole-genome sequencing for molecular characterization. Among 13 758 participants, 1035 (7.5 %) N. meningitidis isolates were recovered. Most isolates (934/1035; 90.2 %) were non-groupable and primarily belonged to clonal complex (CC) 192 (822/934; 88 %). Groupable isolates (101/1035; 9.8 %) primarily belonged to CCs associated with recent outbreaks in the region, such as CC11 (serogroup W) and CC10217 (serogroup C); carried serogroup A isolates were not detected. Phylogenetic analysis revealed several CC11 strains circulating within the country, several of which were closely related to invasive isolates. Three sequence types (STs) were identified among eleven CC10217 carriage isolates, two of which have caused recent outbreaks in the region (ST-10217 and ST-12446). Our results show the importance of carriage studies to track the outbreak-associated strains circulating within the population in order to inform future vaccination strategies and molecular surveillance programmes. |
Benzene Derivatives from Ink Lead to False Positive Results in Neonatal Hyperphenylalaninemia Screening with Ninhydrin Fluorometric Method.
Feng S , Mei J , Yang L , Luo P , Wang X , Wang Y , Yao J , Cui L , Pan L , Wang Z , Xin L . Int J Neonatal Screen 2020 6 (1) 14 Ninhydrin-based fluorometric quantification of phenylalanine is one of the most widely used methods for hyperphenylalaninemia (HPA) screening in neonates due to its high sensitivity, high accuracy, and low cost. Here we report an increase of false positive cases in neonatal HPA screening with this method, caused by contamination of blood specimen collection devices during the printing process. Through multiple steps of verification, the contaminants were identified from ink circles printed on the collection devices to indicate the positions and sizes of blood drops. Blood specimens from HPA-negative persons collected on these contaminated collection devices showed positive results in the fluorometric tests, but negative results in tandem mass spectroscopy (MS/MS) experiments. Contaminants on the collection devices could be extracted by 80% ethanol and showed an absorption peak around 245 nm, suggesting that these contaminants may contain benzene derivatives with similar structure to phenylalanine. High-performance liquid chromatography (HPLC) analysis of the ethanol extracts from contaminated collection devices identified two prominent peaks specifically from the devices. Methyl-2-benzoylbenzoate (MBB, CAS#606-28-0) was found as one of the major chemicals from contaminated collection devices. This report aims to remind colleagues in the field of this potential contamination and call for tighter regulation and quality control of specimen collection devices. |
Full Molecular Typing of Neisseria meningitidis Directly from Clinical Specimens for Outbreak Investigation.
Itsko M , Retchless AC , Joseph SJ , Turner AN , Bazan JA , Sadji AY , Ouédraogo-Traoré R , Wang X . J Clin Microbiol 2020 58 (12) Neisseria meningitidis (Nm) is a leading cause of bacterial meningitis and sepsis worldwide and an occasional cause of meningococcal urethritis. When isolates are unavailable for surveillance or outbreak investigations, molecular characterization of pathogens needs to be performed directly from clinical specimens such as cerebrospinal fluid (CSF), blood, or urine. However, genome sequencing of specimens is challenging because of low bacterial and high human DNA abundances. We developed selective whole genome amplification (SWGA), an isothermal multiple displacement amplification-based method, to efficiently enrich, sequence and de novo assemble Nm DNA from clinical specimens with low bacterial loads. SWGA was validated with 12 CSF specimens from invasive meningococcal disease cases and 12 urine specimens from meningococcal urethritis cases. SWGA increased the mean proportion of Nm reads by 2-3 orders of magnitude enabling identification of at least 90% of the 1605 Nm core genome loci for 50% of the specimens. The validated method was used to investigate two meningitis outbreaks recently reported in Togo and Burkina Faso. Twenty-seven specimens with low bacterial load were processed by SWGA before sequencing and 12 of 27 were successfully assembled to obtain the full molecular typing and vaccine antigen profile of the Nm pathogen, therefore enabling thorough characterization of outbreaks. This method is particularly important for enhancing molecular surveillance in regions with low culture rate. SWGA produces enough reads for phylogenetic and allelic analysis with a low cost. More importantly, the procedure can be extended to enrich other important human bacterial pathogens. |
2020 taxonomic update for phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales.
Kuhn JH , Adkins S , Alioto D , Alkhovsky SV , Amarasinghe GK , Anthony SJ , Avšič-Županc T , Ayllón MA , Bahl J , Balkema-Buschmann A , Ballinger MJ , Bartonička T , Basler C , Bavari S , Beer M , Bente DA , Bergeron É , Bird BH , Blair C , Blasdell KR , Bradfute SB , Breyta R , Briese T , Brown PA , Buchholz UJ , Buchmeier MJ , Bukreyev A , Burt F , Buzkan N , Calisher CH , Cao M , Casas I , Chamberlain J , Chandran K , Charrel RN , Chen B , Chiumenti M , Choi IR , Clegg JCS , Crozier I , da Graça JV , Dal Bó E , Dávila AMR , de la Torre JC , de Lamballerie X , de Swart RL , Di Bello PL , Di Paola N , Di Serio F , Dietzgen RG , Digiaro M , Dolja VV , Dolnik O , Drebot MA , Drexler JF , Dürrwald R , Dufkova L , Dundon WG , Duprex WP , Dye JM , Easton AJ , Ebihara H , Elbeaino T , Ergünay K , Fernandes J , Fooks AR , Formenty PBH , Forth LF , Fouchier RAM , Freitas-Astúa J , Gago-Zachert S , Gāo GF , García ML , García-Sastre A , Garrison AR , Gbakima A , Goldstein T , Gonzalez JJ , Griffiths A , Groschup MH , Günther S , Guterres A , Hall RA , Hammond J , Hassan M , Hepojoki J , Hepojoki S , Hetzel U , Hewson R , Hoffmann B , Hongo S , Höper D , Horie M , Hughes HR , Hyndman TH , Jambai A , Jardim R , Jiāng D , Jin Q , Jonson GB , Junglen S , Karadağ S , Keller KE , Klempa B , Klingström J , Kobinger G , Kondō H , Koonin EV , Krupovic M , Kurath G , Kuzmin IV , Laenen L , Lamb RA , Lambert AJ , Langevin SL , Lee B , Lemos ERS , Leroy EM , Li D , Lǐ J , Liang M , Liú W , Liú Y , Lukashevich IS , Maes P , Marciel de Souza W , Marklewitz M , Marshall SH , Martelli GP , Martin RR , Marzano SL , Massart S , McCauley JW , Mielke-Ehret N , Minafra A , Minutolo M , Mirazimi A , Mühlbach HP , Mühlberger E , Naidu R , Natsuaki T , Navarro B , Navarro JA , Netesov SV , Neumann G , Nowotny N , Nunes MRT , Nylund A , Økland AL , Oliveira RC , Palacios G , Pallas V , Pályi B , Papa A , Parrish CR , Pauvolid-Corrêa A , Pawęska JT , Payne S , Pérez DR , Pfaff F , Radoshitzky SR , Rahman AU , Ramos-González PL , Resende RO , Reyes CA , Rima BK , Romanowski V , Robles Luna G , Rota P , Rubbenstroth D , Runstadler JA , Ruzek D , Sabanadzovic S , Salát J , Sall AA , Salvato MS , Sarpkaya K , Sasaya T , Schwemmle M , Shabbir MZ , Shí X , Shí Z , Shirako Y , Simmonds P , Širmarová J , Sironi M , Smither S , Smura T , Song JW , Spann KM , Spengler JR , Stenglein MD , Stone DM , Straková P , Takada A , Tesh RB , Thornburg NJ , Tomonaga K , Tordo N , Towner JS , Turina M , Tzanetakis I , Ulrich RG , Vaira AM , van den Hoogen B , Varsani A , Vasilakis N , Verbeek M , Wahl V , Walker PJ , Wang H , Wang J , Wang X , Wang LF , Wèi T , Wells H , Whitfield AE , Williams JV , Wolf YI , Wú Z , Yang X , Yáng X , Yu X , Yutin N , Zerbini FM , Zhang T , Zhang YZ , Zhou G , Zhou X . Arch Virol 2020 165 (12) 3023-3072 In March 2020, following the annual International Committee on Taxonomy of Viruses (ICTV) ratification vote on newly proposed taxa, the phylum Negarnaviricota was amended and emended. At the genus rank, 20 new genera were added, two were deleted, one was moved, and three were renamed. At the species rank, 160 species were added, four were deleted, ten were moved and renamed, and 30 species were renamed. This article presents the updated taxonomy of Negarnaviricota as now accepted by the ICTV. |
Toxicity evaluation following pulmonary exposure to an as-manufactured dispersed boron nitride nanotube (BNNT) material in vivo
Xin X , Barger M , Roach KA , Bowers L , Stefaniak AB , Kodali V , Glassford E , Dunn KL , Dunn KH , Wolfarth M , Friend S , Leonard SS , Kashon M , Porter DW , Erdely A , Roberts JR . NanoImpact 2020 19 Boron nitride nanotubes (BNNT) are multi-walled nanotubes composed of hexagonal B[sbnd]N bonds and possess many unique physical and chemical properties, creating a rapidly expanding market for this newly emerging nanomaterial which is still primarily in the research and development stage. The shape and high aspect ratio give rise to concern for the potential toxicity that may be associated with pulmonary exposure, especially in an occupational setting. The goal of this study was to assess lung toxicity using an in vivo time course model. The sample was manufactured to be 5 nm wide and up to 200 μm long, with ~50% purity covalently bound with hexagonal boron nitride (hBN) in the sample. Following preparation for in vivo studies, sonication of the material disrupted the longer tubes in the complex and the size distribution in dispersion medium (DM) of the structures was 13–23 nm in diameter and 0.6–1.6 μm in length. Male C57BL/6 J mice were exposed to 4 or 40 μg of BNNT or DM (vehicle control) by a single oropharyngeal aspiration. Pulmonary and systemic toxicity were investigated at 4 h, 1 d, 7 d, 1 mo and 2 mo post-exposure. Bronchoalveolar lavage (BAL) studies determined pulmonary inflammation (neutrophil influx) and cytotoxicity (lactate dehydrogenase activity) occurred at early time points and peaked at 7 d post-exposure in the high dose group. Histopathological analysis showed a minimal level of inflammatory cell infiltration in the high dose group with resolution over time and no fibrosis, and lung clearance analysis showed ~50% of the material cleared over the time course. The expression of inflammatory- and acute phase response-associated genes in the lung and liver were significantly increased by the high dose at 4 h and 1 d post-exposure. The increases in lung gene expression of Cxcl2, Ccl2, Il6, Ccl22, Ccl11, and Spp1 were significant up to 2 mo but decreased with time. The low dose exposure did not result in significant changes in any toxicological parameters measured. In summary, the BNNT-hBN sample used in this study caused acute pulmonary inflammation and injury at the higher dose, which peaked by 7 d post-exposure and showed resolution over time. Further studies are needed to determine if physicochemical properties and purity will impact the toxicity profile of BNNT and to investigate the underlying mechanisms of BNNT toxicity. |
Meningococcal carriage 7 years after introduction of a serogroup A meningococcal conjugate vaccine in Burkina Faso: results from four cross-sectional carriage surveys.
Mbaeyi S , Sampo E , Dinanibe K , Yameogo I , Congo-Ouedraogo M , Tamboura M , Sawadogo G , Ouattara K , Sanou M , Kiemtore T , Dioma G , Sanon B , Somlare H , Kyetega A , Ba AK , Ake F , Tarbangdo F , Aboua FA , Donnou Y , Kamate I , Patel JC , Schmink S , Spiller MW , Topaz N , Novak R , Wang X , Bicaba B , Sangare L , Ouedraogo-Traore R , Kristiansen PA . Lancet Infect Dis 2020 20 (12) 1418-1425 BACKGROUND: In the first 2 years after a nationwide mass vaccination campaign of 1-29-year-olds with a meningococcal serogroup A conjugate vaccine (MenAfriVac) in Burkina Faso, carriage and disease due to serogroup A Neisseria meningitidis were nearly eliminated. We aimed to assess the long-term effect of MenAfriVac vaccination on meningococcal carriage and herd immunity. METHODS: We did four cross-sectional studies of meningococcal carriage in people aged 9 months to 36 years in two districts of Burkina Faso between May 2, 2016, and Nov 6, 2017. Demographic information and oropharyngeal swabs were collected. Meningococcal isolates were characterised using whole-genome sequencing. FINDINGS: Of 14 295 eligible people, 13 758 consented and had specimens collected and laboratory results available, 1035 of whom were meningococcal carriers. Accounting for the complex survey design, prevalence of meningococcal carriage was 7.60% (95% CI 5.67-9.52), including 6.98% (4.86-9.11) non-groupable, 0.48% (0.01-0.95) serogroup W, 0.10% (0.01-0.18) serogroup C, 0.03% (0.00-0.80) serogroup E, and 0% serogroup A. Prevalence ranged from 5.44% (95% CI 4.18-6.69) to 9.14% (6.01-12.27) by district, from 4.67% (2.71-6.64) to 11.17% (6.75-15.59) by round, and from 3.39% (0.00-8.30) to 10.43% (8.08-12.79) by age group. By clonal complex, 822 (88%) of 934 non-groupable isolates were CC192, all 83 (100%) serogroup W isolates were CC11, and nine (69%) of 13 serogroup C isolates were CC10217. INTERPRETATION: Our results show the continued effect of MenAfriVac on serogroup A meningococcal carriage, for at least 7 years, among vaccinated and unvaccinated cohorts. Carriage prevalence of epidemic-prone serogroup C CC10217 and serogroup W CC11 was low. Continued monitoring of N meningitidis carriage will be crucial to further assess the effect of MenAfriVac and inform the vaccination strategy for future multivalent meningococcal vaccines. FUNDING: Bill & Melinda Gates Foundation and Gavi, the Vaccine Alliance. |
The Global Meningitis Genome Partnership.
Rodgers E , Bentley SD , Borrow R , Bratcher HB , Brisse S , Brueggemann AB , Caugant DA , Findlow J , Fox L , Glennie L , Harrison LH , Harrison OB , Heyderman RS , van Rensburg MJ , Jolley KA , Kwambana-Adams B , Ladhani S , LaForce M , Levin M , Lucidarme J , MacAlasdair N , Maclennan J , Maiden MCJ , Maynard-Smith L , Muzzi A , Oster P , Rodrigues CMC , Serino ORL , Smith V , van der Ende A , Vazquez J , Wang X , Yezli S , Stuart JM . J Infect 2020 81 (4) 510-520 Genomic surveillance of bacterial meningitis pathogens is essential for effective disease control globally, enabling identification of emerging and expanding strains and consequent public health interventions. While there has been a rise in the use of whole genome sequencing, this has been driven predominately by a subset of countries with adequate capacity and resources. Global capacity to participate in surveillance needs to be expanded, particularly in low and middle-income countries with high disease burdens. In light of this, the WHO-led collaboration, Defeating Meningitis by 2030 Global Roadmap, has called for the establishment of a Global Meningitis Genome Partnership that links resources for: N. meningitidis (Nm), S. pneumoniae (Sp), H. influenzae (Hi) and S. agalactiae (Sa) to improve worldwide co-ordination of strain identification and tracking. Existing platforms containing relevant genomes include: PubMLST: Nm (31,622), Sp (15,132), Hi (1,935), Sa (9,026); The Wellcome Sanger Institute: Nm (13,711), Sp (>24,000), Sa (6,200), Hi (1738); and BMGAP: Nm (8,785), Hi (2,030). A steering group is being established to coordinate the initiative and encourage high-quality data curation. Next steps include: developing guidelines on open-access sharing of genomic data; defining a core set of metadata; and facilitating development of user-friendly interfaces that represent publicly available data. |
Detection of Ciprofloxacin-Resistant, β-Lactamase-Producing Neisseria meningitidis Serogroup Y Isolates - United States, 2019-2020.
McNamara LA , Potts C , Blain AE , Retchless AC , Reese N , Swint S , Lonsway D , Karlsson M , Lunquest K , Sweitzer JJ , Wang X , Hariri S , Fox LM . MMWR Morb Mortal Wkly Rep 2020 69 (24) 735-739 Meningococcal disease is a sudden-onset, life-threatening illness caused by the bacterium Neisseria meningitidis. Prompt empiric antibiotic treatment can reduce morbidity and mortality among patients, and antibiotic prophylaxis can prevent secondary disease in close contacts. Historically, N. meningitidis isolates in the United States have largely been susceptible to the antibiotics recommended for treatment and prophylaxis, including penicillin and ciprofloxacin. This report describes detection of penicillin-resistant and ciprofloxacin-resistant N. meningitidis serogroup Y (NmY) isolates in the United States. NmY isolates containing a blaROB-1 beta-lactamase enzyme gene conferring resistance to penicillins (1) were recovered from 33 cases reported during 2013-2020. Isolates from 11 of these cases, reported during 2019-2020, harbored a ciprofloxacin resistance-associated mutation in a chromosomal gene (gyrA). Cases were reported from 12 geographically disparate states; a majority of cases (22 of 33, 67%) occurred in Hispanic persons. These cases represent a substantial increase in penicillin-resistant and ciprofloxacin-resistant meningococci in the United States since 2013. Ceftriaxone and cefotaxime, the recommended first-line agents for empiric bacterial meningitis treatment, can continue to be used for treatment, but health care providers should ascertain susceptibility of meningococcal isolates to penicillin before switching to penicillin or ampicillin. Ongoing monitoring for antimicrobial resistance among meningococcal isolates and prophylaxis failures will be important to inform treatment and prophylaxis recommendations. |
Insights on Population Structure and Within-Host Genetic Changes among Meningococcal Carriage Isolates from U.S. Universities.
Joseph SJ , Topaz N , Chang HY , Whaley MJ , Vuong JT , Chen A , Hu F , Schmink SE , Jenkins LT , Rodriguez-Rivera LD , Thomas JD , Acosta AM , McNamara L , Soeters HM , Mbaeyi S , Wang X . mSphere 2020 5 (2) In 2015 and 2016, meningococcal carriage evaluations were conducted at two universities in the United States following mass vaccination campaigns in response to Neisseria meningitidis serogroup B (NmB) disease outbreaks. A simultaneous carriage evaluation was also conducted at a university near one of the outbreaks, where no NmB cases were reported and no mass vaccination occurred. A total of ten cross-sectional carriage evaluation rounds were conducted, resulting in 1,514 meningococcal carriage isolates collected from 7,001 unique participants; 1,587 individuals were swabbed at multiple time points (repeat participants). All isolates underwent whole-genome sequencing. The most frequently observed clonal complexes (CC) were CC198 (27.3%), followed by CC1157 (17.4%), CC41/44 (9.8%), CC35 (7.4%), and CC32 (5.6%). Phylogenetic analysis identified carriage isolates that were highly similar to the NmB outbreak strains; comparative genomics between these outbreak and carriage isolates revealed genetic changes in virulence genes. Among repeat participants, 348 individuals carried meningococcal bacteria during at least one carriage evaluation round; 50.3% retained N. meningitidis carriage of a strain with the same sequence type (ST) and CC across rounds, 44.3% only carried N. meningitidis in one round, and 5.4% acquired a new N. meningitidis strain between rounds. Recombination, point mutations, deletions, and simple sequence repeats were the most frequent genetic mechanisms found in isolates collected from hosts carrying a strain of the same ST and CC across rounds. Our findings provide insight on the dynamics of meningococcal carriage among a population that is at higher risk for invasive meningococcal disease than the general population.IMPORTANCE U.S. university students are at a higher risk of invasive meningococcal disease than the general population. The responsible pathogen, Neisseria meningitidis, can be carried asymptomatically in the oropharynx; the dynamics of meningococcal carriage and the genetic features that distinguish carriage versus disease states are not completely understood. Through our analyses, we aimed to provide data to address these topics. We whole-genome sequenced 1,514 meningococcal carriage isolates from individuals at three U.S. universities, two of which underwent mass vaccination campaigns following recent meningococcal outbreaks. We describe the within-host genetic changes among individuals carrying a strain with the same molecular type over time, the primary strains being carried in this population, and the genetic differences between closely related outbreak and carriage strains. Our results provide detailed information on the dynamics of meningococcal carriage and the genetic differences in carriage and outbreak strains, which can inform future efforts to reduce the incidence of invasive meningococcal disease. |
Meningococcal carriage in young adults six years after meningococcal C conjugate (MCC) vaccine catch-up campaign in Salvador, Brazil.
Ferreira VM , Ferreira IE , Chang HY , Nunes Ampb , Topaz N , Pimentel ER , Moura Arss , Ribeiro GS , Feitosa CA , Reis MG , Wang X , Campos LC . Vaccine 2020 38 (14) 2995-3002 Meningococcal carriage studies are important to improve the knowledge of disease epidemiology as well as to support appropriate vaccination strategies. We conducted a cross-sectional study to determine the prevalence and genotypic characteristics of meningococci collected from young adults in Salvador, Brazil six years after a meningococcal C conjugate vaccine catch-up campaign. From August through November 2016, oropharyngeal swabs were collected from 407 students aged 1824 years attending a private college in Salvador, Brazil. Neisseria meningitidis was identified by standard microbiology methods and real time PCR. Genetic characteristics of meningococci were assessed by rt-PCR and/or whole genome sequencing. We also investigated potential factors associated with carriage. N. meningitidis was detectable in 50 students, 39 by both culture and rt-PCR, 7 by culture alone and 4 by rt-PCR alone, resulting in an overall meningococcal carriage prevalence of 12.3% (50/407). Carriage was independently associated with male sex (adjusted PR: 1.97; 95% CI: 1.12-3.46; p = 0.018) and attending bars or parties at least once per month (aPR: 3.31; 95% CI: 1.49-7.38; p = 0.003). Molecular tests identified 92% (46/50) N. meningitidis as non-groupable, of which 63% (29/46) had the capsule null genotype; 14 NG isolates contained disrupted capsule backbones and belonged to the following genogroups: 7 B, 3 Z, 3 E and 1 W. One isolate belonged to genogroup C tested only by PCR; 3 isolates contained a complete B capsule backbones, 2 of which were determined to be NG by slide agglutination serogrouping. While most meningococcal carriage isolates were non-groupable, there was a high degree of genetic diversity present in the collection, as evidenced by 25 unique STs being detected. The carriage prevalence of meningococcal serogroup C was low among young adults. Continuous vaccination is important to maintain reduced meningococcal carriage and transmission, inducing herd protection. |
CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity.
Mansouri K , Kleinstreuer N , Abdelaziz AM , Alberga D , Alves VM , Andersson PL , Andrade CH , Bai F , Balabin I , Ballabio D , Benfenati E , Bhhatarai B , Boyer S , Chen J , Consonni V , Farag S , Fourches D , Garcia-Sosa AT , Gramatica P , Grisoni F , Grulke CM , Hong H , Horvath D , Hu X , Huang R , Jeliazkova N , Li J , Li X , Liu H , Manganelli S , Mangiatordi GF , Maran U , Marcou G , Martin T , Muratov E , Nguyen DT , Nicolotti O , Nikolov NG , Norinder U , Papa E , Petitjean M , Piir G , Pogodin P , Poroikov V , Qiao X , Richard AM , Roncaglioni A , Ruiz P , Rupakheti C , Sakkiah S , Sangion A , Schramm KW , Selvaraj C , Shah I , Sild S , Sun L , Taboureau O , Tang Y , Tetko IV , Todeschini R , Tong W , Trisciuzzi D , Tropsha A , Van Den Driessche G , Varnek A , Wang Z , Wedebye EB , Williams AJ , Xie H , Zakharov AV , Zheng Z , Judson RS . Environ Health Perspect 2020 128 (2) 27002 BACKGROUND: Endocrine disrupting chemicals (EDCs) are xenobiotics that mimic the interaction of natural hormones and alter synthesis, transport, or metabolic pathways. The prospect of EDCs causing adverse health effects in humans and wildlife has led to the development of scientific and regulatory approaches for evaluating bioactivity. This need is being addressed using high-throughput screening (HTS) in vitro approaches and computational modeling. OBJECTIVES: In support of the Endocrine Disruptor Screening Program, the U.S. Environmental Protection Agency (EPA) led two worldwide consortiums to virtually screen chemicals for their potential estrogenic and androgenic activities. Here, we describe the Collaborative Modeling Project for Androgen Receptor Activity (CoMPARA) efforts, which follows the steps of the Collaborative Estrogen Receptor Activity Prediction Project (CERAPP). METHODS: The CoMPARA list of screened chemicals built on CERAPP's list of 32,464 chemicals to include additional chemicals of interest, as well as simulated ToxCast metabolites, totaling 55,450 chemical structures. Computational toxicology scientists from 25 international groups contributed 91 predictive models for binding, agonist, and antagonist activity predictions. Models were underpinned by a common training set of 1,746 chemicals compiled from a combined data set of 11 ToxCast/Tox21 HTS in vitro assays. RESULTS: The resulting models were evaluated using curated literature data extracted from different sources. To overcome the limitations of single-model approaches, CoMPARA predictions were combined into consensus models that provided averaged predictive accuracy of approximately 80% for the evaluation set. DISCUSSION: The strengths and limitations of the consensus predictions were discussed with example chemicals; then, the models were implemented into the free and open-source OPERA application to enable screening of new chemicals with a defined applicability domain and accuracy assessment. This implementation was used to screen the entire EPA DSSTox database of approximately 875,000 chemicals, and their predicted AR activities have been made available on the EPA CompTox Chemicals dashboard and National Toxicology Program's Integrated Chemical Environment. https://doi.org/10.1289/EHP5580. |
An Isothermal, Multiplex Amplification Assay for Detection and Genotyping of Human Papillomaviruses in Formalin-Fixed, Paraffin-Embedded Tissues.
Tang YW , Lozano L , Chen X , Querec TD , Katabi N , Moreno-Docon A , Wang H , Fix D , De Brot L , McMillen TA , Yoon JY , Torroba A , Wang Y , Unger ER , Park KJ . J Mol Diagn 2020 22 (3) 419-428 Rapid and accurate identification of human papillomavirus (HPV) is important for both clinical management and population screening. We performed analytic validation of Atila AmpFire Multiplex HPV assays on formalin-fixed, paraffin-embedded (FFPE) cervix/vulva and oropharynx diagnostic tissue samples. The AmpFire assay incorporates a novel isothermal multiplex amplification coupled with real-time fluorescent detection to detect and genotype 15 high-risk (HR) HPV genotypes. Limits of detection determined by plasmids cloned with HPV genotype-specific sequences were 2 copies/reaction for HPV16, HPV18, and some HR HPV genotypes, and 20 copies/reaction for the remaining HR HPV genotypes. The performance of the AmpFire assays in clinical samples was evaluated using 214 FFPE specimens. The AmpFire assay failed in one clinical specimen for an invalid rate of 0.5%. The AmpFire assay detected HPV in clinical samples with positive percent agreements of 100.0% for HPV16, 100.0% for HPV18, and 94.7% for non-16/18 HR-HPV, and 100% negative percent agreements for HPV16, HPV18, and non-16/18 HR-HPV. Qualitative detection agreement was obtained in the reproducibility study. In summary, the Atila AmpFire HPV assay demonstrated excellent analytic sensitivity and specificity for detection and genotyping of 15 HR HPV genotypes. Assay parameters of simple specimen processing, small sample size requirement, rapid turnaround time, and being near instrument-free render it well suited for HPV detection and genotyping in FFPE specimens. |
Burden of viral gastroenteritis in children living in rural China: population-based surveillance.
Wang JX , Zhou HL , Mo ZJ , Wang SM , Hao ZY , Li Y , Zhen SS , Zhang CJ , Zhang XJ , Ma JC , Qiu C , Zhao G , Jiang B , Jiang X , Li RC , Zhao YL , Wang XY . Int J Infect Dis 2019 90 151-160 BACKGROUND: Despite the considerable disease burden caused by the disease, rotavirus vaccine has not been introduced into routine national immunization schedule, and norovirus vaccines are being developed without a comprehensive understanding of gastroenteritis epidemiology. To bridge this knowledge gap, we investigated the disease burden of viral gastroenteritis in rural China. METHODS: Between October 2011 and December 2013, population-based surveillance was conducted in Zhengding and Sanjiang counties in China. Stool samples were collected from children <5 years of age with diarrhea. All specimens were tested for rotaviruses, noroviruses, sapoviruses, enteric adenoviruses, and astroviruses. RESULTS: The most common pathogen causing diarrhea was rotavirus (54.7 vs 45.6 cases/1,000 children/year in Zhengding and Sanjiang, respectively), followed by norovirus (28.4 vs 19.3 cases/1,000 children/year in Zhengding and Sanjiang, respectively). The highest incidence of these viruses was observed in children 6-18 months of age. Among the 5 viral pathogens, rotaviruses caused the most severe illness, followed by noroviruses. CONCLUSION: Rotavirus and norovirus are the 2 most important viral pathogens causing childhood diarrhea in both northern and southern China; they should be the major targets for viral gastroenteritis prevention strategies among children in China. |
A New Sequence Type of Neisseria meningitidis Serogroup C Associated With a 2016 Meningitis Outbreak in Mali.
Sanogo YO , Guindo I , Diarra S , Retchless AC , Abdou M , Coulibaly S , Maiga MF , Coumare M , Diarra B , Chen A , Chang HY , Vuong JT , Acosta AM , Sow S , Novak RT , Wang X . J Infect Dis 2019 220 S190-s197 In 2016, Mali reported a bacterial meningitis outbreak consisting of 39 suspected cases between epidemiologic weeks 9 and 17 with 15% case fatality ratio in the health district of Ouelessebougou, 80 kilometers from the capital Bamako. Cerebrospinal fluid specimens from 29 cases were tested by culture and real-time polymerase chain reaction; 22 (76%) were positive for bacterial meningitis pathogens, 16 (73%) of which were Neisseria meningitidis (Nm). Of the Nm-positive specimens, 14 (88%) were N meningitidis serogroup C (NmC), 1 was NmW, and 1 was nongroupable. Eight NmC isolates recovered by culture from the outbreak were characterized using whole genome sequencing. Genomics analysis revealed that all 8 isolates belonged to a new sequence type (ST) 12446 of clonal complex 10217 that formed a distinct clade genetically similar to ST-10217, a NmC strain that recently caused large epidemics of meningitis in Niger and Nigeria. The emergence of a new ST of NmC associated with an outbreak in the African meningitis belt further highlights the need for continued molecular surveillance in the region. |
Toward a Global Genomic Epidemiology of Meningococcal Disease.
Retchless AC , Fox LM , Maiden MCJ , Smith V , Harrison LH , Glennie L , Harrison OB , Wang X . J Infect Dis 2019 220 S266-s273 Whole-genome sequencing (WGS) is invaluable for studying the epidemiology of meningococcal disease. Here we provide a perspective on the use of WGS for meningococcal molecular surveillance and outbreak investigation, where it helps to characterize pathogens, predict pathogen traits, identify emerging pathogens, and investigate pathogen transmission during outbreaks. Standardization of WGS workflows has facilitated their implementation by clinical and public health laboratories (PHLs), but further development is required for metagenomic shotgun sequencing and targeted sequencing to be widely available for culture-free characterization of bacterial meningitis pathogens. Internet-accessible servers are being established to support bioinformatics analysis, data management, and data sharing among PHLs. However, establishing WGS capacity requires investments in laboratory infrastructure and technical knowledge, which is particularly challenging in resource-limited regions, including the African meningitis belt. Strategic WGS implementation is necessary to monitor the molecular epidemiology of meningococcal disease in these regions and construct a global view of meningococcal disease epidemiology. |
Epidemiology of Bacterial Meningitis in the Nine Years Since Meningococcal Serogroup A Conjugate Vaccine Introduction, Niger, 2010-2018.
Sidikou F , Potts CC , Zaneidou M , Mbaeyi S , Kadade G , Paye MF , Ousmane S , Issaka B , Chen A , Chang HY , Issifou D , Lingani C , Sakande S , Bienvenu B , Mahamane AE , Diallo AO , Moussa A , Seidou I , Abdou M , Sidiki A , Garba O , Haladou S , Testa J , Obama Nse R , Mainassara HB , Wang X . J Infect Dis 2019 220 S206-s215 BACKGROUND: In 2010, Niger and other meningitis belt countries introduced a meningococcal serogroup A conjugate vaccine (MACV). We describe the epidemiology of bacterial meningitis in Niger from 2010 to 2018. METHODS: Suspected and confirmed meningitis cases from January 1, 2010 to July 15, 2018 were obtained from national aggregate and laboratory surveillance. Cerebrospinal fluid specimens were analyzed by culture and/or polymerase chain reaction. Annual incidence was calculated as cases per 100 000 population. Selected isolates obtained during 2016-2017 were characterized by whole-genome sequencing. RESULTS: Of the 21 142 suspected cases of meningitis, 5590 were confirmed: Neisseria meningitidis ([Nm] 85%), Streptococcus pneumoniae ([Sp] 13%), and Haemophilus influenzae ([Hi] 2%). No NmA cases occurred after 2011. Annual incidence per 100 000 population was more dynamic for Nm (0.06-7.71) than for Sp (0.18-0.70) and Hi (0.01-0.23). The predominant Nm serogroups varied over time (NmW in 2010-2011, NmC in 2015-2018, and both NmC and NmX in 2017-2018). Meningococcal meningitis incidence was highest in the regions of Niamey, Tillabery, Dosso, Tahoua, and Maradi. The NmW isolates were clonal complex (CC)11, NmX were CC181, and NmC were CC10217. CONCLUSIONS: After MACV introduction, we observed an absence of NmA, the emergence and continuing burden of NmC, and an increase in NmX. Niger's dynamic Nm serogroup distribution highlights the need for strong surveillance programs to inform vaccine policy. |
Genomic characterization of Haemophilus influenzae: a focus on the capsule locus.
Potts CC , Topaz N , Rodriguez-Rivera LD , Hu F , Chang HY , Whaley MJ , Schmink S , Retchless AC , Chen A , Ramos E , Doho GH , Wang X . BMC Genomics 2019 20 (1) 733 BACKGROUND: Haemophilus influenzae (Hi) can cause invasive diseases such as meningitis, pneumonia, or sepsis. Typeable Hi includes six serotypes (a through f), each expressing a unique capsular polysaccharide. The capsule, encoded by the genes within the capsule locus, is a major virulence factor of typeable Hi. Non-typeable (NTHi) does not express capsule and is associated with invasive and non-invasive diseases. METHODS: A total of 395 typeable and 293 NTHi isolates were characterized by whole genome sequencing (WGS). Phylogenetic analysis and multilocus sequence typing were used to characterize the overall genetic diversity. Pair-wise comparisons were used to evaluate the capsule loci. A WGS serotyping method was developed to predict the Hi serotype. WGS serotyping results were compared to slide agglutination (SAST) or real-time PCR (rt-PCR) serotyping. RESULTS: Isolates of each Hi serotype clustered into one or two subclades, with each subclade being associated with a distinct sequence type (ST). NTHi isolates were genetically diverse, with seven subclades and 125 STs being detected. Regions I and III of the capsule locus were conserved among the six serotypes (>/=82% nucleotide identity). In contrast, genes in Region II were less conserved, with only six gene pairs from all serotypes showing >/=56% nucleotide identity. The WGS serotyping method was 99.9% concordant with SAST and 100% concordant with rt-PCR in determining the Hi serotype. CONCLUSIONS: Genomic analysis revealed a higher degree of genetic diversity among NTHi compared to typeable Hi. The WGS serotyping method accurately predicted the Hi capsule type and can serve as an alternative method for Hi serotyping. |
Genetic Similarity of Gonococcal Homologs to Meningococcal Outer Membrane Proteins of Serogroup B Vaccine.
Marjuki H , Topaz N , Joseph SJ , Gernert KM , Kersh EN , Wang X . mBio 2019 10 (5) The human pathogens Neisseria gonorrhoeae and Neisseria meningitidis share high genome identity. Retrospective analysis of surveillance data from New Zealand indicates the potential cross-protective effect of outer membrane vesicle (OMV) meningococcal serogroup B vaccine (MeNZB) against N. gonorrhoeae A licensed OMV-based MenB vaccine, MenB-4C, consists of a recombinant FHbp, NhbA, NadA, and the MeNZB OMV. Previous work has identified several abundantly expressed outer membrane proteins (OMPs) as major components of the MenB-4C OMV with high sequence similarity between N. gonorrhoeae and N. meningitidis, suggesting a mechanism for cross-protection. To build off these findings, we performed comparative genomic analysis on 970 recent N. gonorrhoeae isolates collected through a U.S surveillance system against N. meningitidis serogroup B (NmB) reference sequences. We identified 1,525 proteins that were common to both Neisseria species, of which 57 proteins were predicted to be OMPs using in silico methods. Among the MenB-4C antigens, NhbA showed moderate sequence identity (73%) to the respective gonococcal homolog, was highly conserved within N. gonorrhoeae, and was predicted to be surface expressed. In contrast, the gonococcal FHbp was predicted not to be surface expressed, while NadA was absent in all N. gonorrhoeae isolates. Our work confirmed recent observations (E. A. Semchenko, A. Tan, R. Borrow, and K. L. Seib, Clin Infect Dis, 2018, https://doi.org/10.1093/cid/ciy1061) and describes homologous OMPs from a large panel of epidemiologically relevant N. gonorrhoeae strains in the United States against NmB reference strains. Based on our results, we report a set of OMPs that may contribute to the previously observed cross-protection and provide potential antigen targets to guide the next steps in gonorrhea vaccine development.IMPORTANCE Gonorrhea, a sexually transmitted disease, causes substantial global morbidity and economic burden. New prevention and control measures for this disease are urgently needed, as strains resistant to almost all classes of antibiotics available for treatment have emerged. Previous reports demonstrate that cross-protection from gonococcal infections may be conferred by meningococcal serogroup B (MenB) outer membrane vesicle (OMV)-based vaccines. Among 1,525 common proteins shared across the genomes of both N. gonorrhoeae and N. meningitidis, 57 proteins were predicted to be surface expressed (outer membrane proteins [OMPs]) and thus preferred targets for vaccine development. The majority of these OMPs showed high sequence identity between the 2 bacterial species. Our results provide valuable insight into the meningococcal antigens present in the current OMV-containing MenB-4C vaccine that may contribute to cross-protection against gonorrhea and may inform next steps in gonorrhea vaccine development. |
Distribution of Neisseria meningitidis serogroup B (NmB) vaccine antigens in meningococcal disease causing isolates in the United States during 2009-2014, prior to NmB vaccine licensure.
Chang HY , Vuong J , Hu F , Liberator P , Chen A , Kretz CB , Blain A , Hao L , Retchless AC , Whaley MJ , Anderson AS , Wang X . J Infect 2019 79 (5) 426-434 OBJECTIVES: Two Neisseria meningitidis serogroup B (NmB) vaccines are licensed in the United States. To estimate their potential coverage, we examined the vaccine antigen diversity among meningococcal isolates prior to vaccine licensure. METHODS: NmB vaccine antigen genes of invasive isolates collected in the U.S. from 2009-2014 were characterized by Sanger or whole-genome sequencing. RESULTS: During 2009-2014, the predominant antigen types have remained similar to those reported in 2000-2008 for NmB and 2006-2008 for NmC, NmY, with the emergence of a few new types. FHbp of subfamily B or variant 1 (B/v1) remained prevalent among NmB whereas FHbp of subfamily A or variant 2 and 3 (A/v2-3) were more prevalent among non-NmB. FHbp peptide 1 (B24/1.1) remains the most prevalent type in NmB. Full-length NadA peptide was detected in 26% of isolates, primarily in NmB and NmW. The greatest diversity of NhbA peptides was detected among NmB, with p0005 as the most prevalent type. CONCLUSIONS: The prevalence and diversity of the NmB vaccine antigens have remained stable with common antigen types persisting over time. The data collected prior to NmB vaccine licensure provide the baseline to understand the potential impact of NmB vaccines on antigen diversity and strain coverage. |
Heteroresistance to the model antimicrobial peptide polymyxin B in the emerging Neisseria meningitidis linage11.2 urethritis clade: mutations in the pilMNOPQ operon.
Tzeng YL , Berman Z , Toh E , Bazan JA , Turner AN , Retchless AC , Wang X , Nelson DE , Stephens DS . Mol Microbiol 2019 111 (1) 254-268 Clusters of Neisseria meningitidis (Nm) urethritis among primarily heterosexual males in multiple US cities have been attributed to a unique non-encapsulated meningococcal clade (the US Nm urethritis clade, US_NmUC) within the hypervirulent clonal complex 11. Resistance to antimicrobial peptides (AMPs) is a key feature of urogenital pathogenesis of the closely related species, Neisseria gonorrhoeae. The US_NmUC isolates were found to be highly resistant to the model AMP, polymyxin B (PmB, MICs 64-256 microg ml(-1) ). The isolates also demonstrated stable subpopulations of heteroresistant colonies that showed near total resistant to PmB (MICs 384-1024 microg ml(-1) ) and colistin (MIC 256 microg ml(-1) ) as well as enhanced LL-37 resistance. This is the first observation of heteroresistance in N. meningitidis. Consistent with previous findings, overall PmB resistance in US_NmUC isolates was due to active Mtr efflux and LptA-mediated lipid A modification. However, whole genome sequencing, variant analyses and directed mutagenesis revealed that the heteroresistance phenotypes and very high-level AMP resistance were the result of point mutations and IS1655 element movement in the pilMNOPQ operon, encoding the type IV pilin biogenesis apparatus. Cross-resistance to other classes of antibiotics was also observed in the heteroresistant colonies. High-level resistance to AMPs may contribute to the pathogenesis of US_NmUC. |
A ten-year China-US laboratory collaboration: improving response to influenza threats in China and the world, 2004-2014.
Shu Y , Song Y , Wang D , Greene CM , Moen A , Lee CK , Chen Y , Xu X , McFarland J , Xin L , Bresee J , Zhou S , Chen T , Zhang R , Cox N . BMC Public Health 2019 19 520 The emergence of severe acute respiratory syndrome (SARS) underscored the importance of influenza detection and response in China. From 2004, the Chinese National Influenza Center (CNIC) and the United States Centers for Disease Control and Prevention (USCDC) initiated Cooperative Agreements to build capacity in influenza surveillance in China. From 2004 to 2014, CNIC and USCDC collaborated on the following activities: 1) developing human technical expertise in virology and epidemiology in China; 2) developing a comprehensive influenza surveillance system by enhancing influenza-like illness (ILI) reporting and virological characterization; 3) strengthening analysis, utilization and dissemination of surveillance data; and 4) improving early response to influenza viruses with pandemic potential. Since 2004, CNIC expanded its national influenza surveillance and response system which, as of 2014, included 408 laboratories and 554 sentinel hospitals. With support from USCDC, more than 2500 public health staff from China received virology and epidemiology training, enabling > 98% network laboratories to establish virus isolation and/or nucleic acid detection techniques. CNIC established viral drug resistance surveillance and platforms for gene sequencing, reverse genetics, serologic detection, and vaccine strains development. CNIC also built a bioinformatics platform to strengthen data analysis and utilization, publishing weekly on-line influenza surveillance reports in English and Chinese. The surveillance system collects 200,000-400,000 specimens and tests more than 20,000 influenza viruses annually, which provides valuable information for World Health Organization (WHO) influenza vaccine strain recommendations. In 2010, CNIC became the sixth WHO Collaborating Centre for Influenza. CNIC has strengthened virus and data sharing, and has provided training and reagents for other countries to improve global capacity for influenza control and prevention. The collaboration's successes were built upon shared mission and values, emphasis on long-term capacity development and sustainability, and leadership commitment. |
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