The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Clinical Metagenomic Sequencing for Diagnosis of Meningitis and Encephalitis
Open accessAbstract
BACKGROUND: Metagenomic next-generation sequencing (NGS) of cerebrospinal fluid (CSF) has the potential to identify a broad range of pathogens in a single test. METHODS: In a 1-year, multicenter, prospective study, we investigated the usefulness of metagenomic NGS of CSF for the diagnosis of infectious meningitis and encephalitis in hospitalized patients. All positive tests for pathogens on metagenomic NGS were confirmed by orthogonal laboratory testing. Physician feedback was elicited by teleconferences with a clinical microbial sequencing board and by surveys. Clinical effect was evaluated by retrospective chart review. RESULTS: We enrolled 204 pediatric and adult patients at eight hospitals. Patients were severely ill: 48.5% had been admitted to the intensive care unit, and the 30-day mortality among all study patients was 11.3%. A total of 58 infections of the nervous system were diagnosed in 57 patients (27.9%). Among these 58 infections, metagenomic NGS identified 13 (22%) that were not identified by clinical testing at the source hospital. Among the remaining 45 infections (78%), metagenomic NGS made concurrent diagnoses in 19. Of the 26 infections not identified by metagenomic NGS, 11 were diagnosed by serologic testing only, 7 were diagnosed from tissue samples other than CSF, and 8 were negative on metagenomic NGS owing to low titers of pathogens in CSF. A total of 8 of 13 diagnoses made solely by metagenomic NGS had a likely clinical effect, with 7 of 13 guiding treatment. CONCLUSIONS: Routine microbiologic testing is often insufficient to detect all neuroinvasive pathogens. In this study, metagenomic NGS of CSF obtained from patients with meningitis or encephalitis improved diagnosis of neurologic infections and provided actionable information in some cases. (Funded by the National Institutes of Health and others; PDAID ClinicalTrials.gov number, NCT02910037.).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Metagenomic next-generation sequencing (mNGS) to detect microbial cell-free DNA (mcfDNA) in plasma is a promising approach, potentially allowing earlier detection and diagnosis of fungal infections when other blood biomarkers/tests are still negative.23”
From Epidemiology of Invasive Candidiasis (2024) · cites this paper as [23]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In fact, mNGS was able to identify 16 pathogens that could not otherwise be detected by routine methods (35), attesting to its robustness and sensitivity.”
From Viruses Causing Aseptic Meningitis: A Tertiary Medical Center Experience With a Multiplex PCR Assay (2020) · cites this paper as [35]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A new emerging technique that might be very broad yet highly accurate at detection is the mNGS, which has been shown to detect more neuroinvasive viruses accurately (32, 35).”
From Viruses Causing Aseptic Meningitis: A Tertiary Medical Center Experience With a Multiplex PCR Assay (2020) · cites this paper as [35]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform
Katoh, K. (2002) · Nucleic Acids Research · doi:10.1093/nar/gkf436 · Cited by 17,027
A clinical approach to diagnosis of autoimmune encephalitis
Graus, F., Titulaer, M. J., Balu, R., Benseler, S. M., Bien, C. G., Cellucci, T., Cortese, I. C. M., Dale, R. C., Gelfand, J. M., Geschwind, M. D., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00401-9 · Cited by 4,580
Self-citationThe Comprehensive Antibiotic Resistance Database
McArthur, A. G., Waglechner, N., Nizam, F., Yan, A., Azad, M. A., Baylay, A. J., Bhullar, K., Canova, M. J., Pascale, G. D., Ejim, L. J., et al. (2013) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00419-13 · Cited by 2,287
Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer
Li, M. M., Datto, M., Duncavage, E. J., Kulkarni, S., Lindeman, N. I., Roy, S., Tsimberidou, A. M., Vnencak‐Jones, C. L., Wolff, D. J., Younes, A., et al. (2016) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2016.10.002 · Cited by 2,113
Granerod, J., Ambrose, H. E., Davies, N. W., Clewley, J. P., Walsh, A. L., Morgan, D., Cunningham, R., Zuckerman, M., Mutton, K. J., Solomon, T., et al. (2010) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(10)70222-x · Cited by 1,358
Hepatitis E Virus and Chronic Hepatitis in Organ-Transplant Recipients
Kamar, N., Sèlves, J., Mansuy, J., Ouezzani, L., Péron, J., Guitard, J., Cointault, O., Esposito, L., Abravanel, F., Danjoux, M., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0706992 · Cited by 1,342
Estimating Maximum Likelihood Phylogenies with PhyML
Guindon, S., Delsuc, F., Dufayard, J.-F., & Gascuel, O. (2009) · Methods in molecular biology · doi:10.1007/978-1-59745-251-9_6 · Cited by 843
Simner, P. J., Miller, S., & Carroll, K. C. (2018) · Clinical Infectious Diseases · doi:10.1093/cid/cix881 · Cited by 821
Self-citationBeyond Viruses: Clinical Profiles and Etiologies Associated with Encephalitis
Glaser, C. A., Honarmand, S., Anderson, L. J., Schnurr, D. P., Forghani, B., Cossen, C. K., Schuster, F. L., Christie, L. J., & Tureen, J. H. (2006) · Clinical Infectious Diseases · doi:10.1086/509330 · Cited by 649
Miller, S. A., Naccache, S. N., Samayoa, E., Messacar, K., Arevalo, S., Federman, S., Stryke, D., Pham, E., Fung, B., Bolosky, W. J., et al. (2019) · Genome Research · doi:10.1101/gr.238170.118 · Cited by 593
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 1,000
Niles, D. T., Wijetunge, D. S. S., Palazzi, D. L., Singh, I. R., & Revell, P. A. (2020) · Journal of Clinical Microbiology · doi:10.1128/jcm.00794-20 · Cited by 55
Central Nervous System Infections in Immunocompromised Patients
Pruitt, A. A. (2021) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-021-01119-w · Cited by 55
Infection prevention and control insights from a decade of pathogen whole-genome sequencing
Eyre, D. W. (2022) · Journal of Hospital Infection · doi:10.1016/j.jhin.2022.01.024 · Cited by 54
Two Years of Viral Metagenomics in a Tertiary Diagnostics Unit: Evaluation of the First 105 Cases
Kufner, V., Plate, A., Schmutz, S., Braun, D. L., Günthard, H. F., Capaul, R., Zbinden, A., Mueller, N. J., Trkola, A., & Huber, M. (2019) · Genes · doi:10.3390/genes10090661 · Cited by 54
Neurological diseases of unknown etiology: Brain-biopsy diagnostic yields and safety
Mathon, B., Joncour, A. L., Bielle, F., Mokhtari, K., Boch, A., Peyre, M., Amoura, Z., Cacoub, P., Younan, N., Demeret, S., et al. (2020) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2020.05.029 · Cited by 53
The Potential Role of Clinical Metagenomics in Infectious Diseases: Therapeutic Perspectives
d’Humières, C., Salmona, M., Dellière, S., Léo, S., Rodriguez, C., Angebault, C., Alanio, A., Fourati, S., Lazarević, V., Woerther, P., et al. (2021) · Drugs · doi:10.1007/s40265-021-01572-4 · Cited by 53
Enhanced DNA and RNA pathogen detection via metagenomic sequencing in patients with pneumonia
He, Y., Fang, K., Shi, X., Yang, D., Zhao, L., Yu, W., Zheng, Y., Xu, Y., Ma, X., Chen, L., et al. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03397-5 · Cited by 53
Sonneville, R., de Montmollin, É., Contou, D., Ferrer, R., Gurjar, M., Klouche, K., Sarton, B., Demeret, S., Bailly, P., Silva, D., et al. (2023) · Intensive Care Medicine · doi:10.1007/s00134-023-07032-9 · Cited by 53
Wright, W. F., Simner, P. J., Carroll, K. C., & Auwaerter, P. G. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab155 · Cited by 53
Diallo, K., Feteh, V. F., Ibe, L., Antonio, M., Caugant, D. A., du Plessis, M., Deghmane, A.-E., Feavers, I. M., Fernandez, K., Fox, L. M., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103274 · Cited by 51
Multicenter assessment of shotgun metagenomics for pathogen detection
Liu, D., Zhou, H., Xu, T., Yang, Q., Mo, X., Shi, D., Ai, J., Zhang, J., Tao, Y., Wen, D., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103649 · Cited by 51
Tao, Y., Yan, H., Liu, Y., Zhang, F., Luo, L., Zhou, Y., An, K., Yang, R., Yang, B., Xu, T., et al. (2022) · Clinical Chemistry · doi:10.1093/clinchem/hvac067 · Cited by 53
Successful Treatment of Balamuthia mandrillaris Granulomatous Amebic Encephalitis with Nitroxoline
Spottiswoode, N., Pet, D. B., Kim, A., Gruenberg, K., Shah, M. P., Ramachandran, A., Laurie, M. T., Zia, M., Fouassier, C., Boutros, C. L., et al. (2023) · Emerging infectious diseases · doi:10.3201/eid2901.221531 · Cited by 51
Self-citationAntibiotics in Necrotizing Soft Tissue Infections
Urbina, T., Razazi, K., Ourghanlian, C., Woerther, P., Chosidow, O., Lepeule, R., & de Prost, N. (2021) · Antibiotics · doi:10.3390/antibiotics10091104 · Cited by 52
Vaca, D. J., Dobler, G., Fischer, S. F., Keller, C. A., Konrad, M., von Loewenich, F. D., Orenga, S., Sapre, S. U., van Belkum, A., & Kempf, V. A. J. (2022) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuac013 · Cited by 50
Liu, J., Zhang, Q., Dong, Y., Yin, J., & Qiu, Y. (2022) · Scientific Reports · doi:10.1038/s41598-022-25314-y · Cited by 53
Chen, W., Liu, G., Cui, L., Tian, F., Zhang, J., Zhao, J., Lv, Y., Du, J., Huan, X., Wu, Y. H., et al. (2024) · Journal of Infection · doi:10.1016/j.jinf.2024.106143 · Cited by 50
Bohl, J. A., Lay, S., Chea, S., Ahyong, V., Parker, D. M., Gallagher, S., Fintzi, J., Man, S., Ponce, A., Sreng, S., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115285119 · Cited by 50
Self-citationMick, E., Tsitsiklis, A., Kamm, J., Kalantar, K., Caldera, S., Lyden, A., Tan, M., Detweiler, A. M., Neff, N. F., Osborne, C. M., et al. (2023) · Journal of Clinical Investigation · doi:10.1172/jci165904 · Cited by 56
Self-citationLi, Q., Ou, Z., Lin, J., Tang, D., He, B., Wu, Y., Huang, X., Huang, X., Ru, B., Wang, Q., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58676-8 · Cited by 49
Gan, M., Wu, B., Yan, G., Li, G., Sun, L., Lü, G., & Zhou, W. (2021) · BMC Genomics · doi:10.1186/s12864-021-08023-0 · Cited by 52
Sun, H., Wang, F., Zhang, M., Xu, X., Li, M., Gao, W., Wu, X., Han, H., Wang, Q., Yao, G., et al. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.872813 · Cited by 49
The discovery of segmented flaviviruses: implications for viral emergence
Zhang, X., Wang, N., Wang, Z., & Liu, Q. (2020) · Current Opinion in Virology · doi:10.1016/j.coviro.2020.02.001 · Cited by 48
Wang, H., Zhang, W., & Tang, Y. (2022) · Emerging Microbes & Infections · doi:10.1080/22221751.2022.2125345 · Cited by 51
Zhu, Y., Gan, M., Ge, M., Dong, X., Yan, G., Zhou, Q., Yu, H., Wang, X., Cao, Y., Lü, G., et al. (2023) · Journal of Clinical Microbiology · doi:10.1128/jcm.00115-23 · Cited by 46
Clinical Evaluation of a Metagenomics-Based Assay for Pneumonia Management
Zhan, Y., Xu, T., He, F., Guan, W., Li, Z., Li, S., Xie, M., Li, X., Chen, R., Cheng, L., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.751073 · Cited by 46
Artificial Intelligence in Differential Diagnostics of Meningitis: A Nationwide Study
Mentis, A. A., García, I., Jiménez, J. Q., Paparoupa, M., Xirogianni, A., Papandreou, A., & Tzanakaki, G. (2021) · Diagnostics · doi:10.3390/diagnostics11040602 · Cited by 45
Zanella, M.-C., Cordey, S., Laubscher, F., Docquier, M., Vieille, G., Delden, C. V., Braunersreuther, V., Mc Kee, T. A., Lobrinus, J. A., Masouridi‐Levrat, S., et al. (2021) · Microbiome · doi:10.1186/s40168-020-00953-3 · Cited by 45
Ge, M., Gan, M., Yan, K., Xiao, F., Yang, L., Wu, B., Xiao, M., Ba, Y., Zhang, R., Wang, J., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.671109 · Cited by 46
Kanaujia, R., Biswal, M., Angrup, A., & Ray, P. (2022) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-022-04445-0 · Cited by 46
Clinical metagenomics for infectious corneal ulcers: Rags to riches?
Ung, L., Bispo, P. J. M., Doan, T. A., Gelder, R. N. V., Gilmore, M. S., Lietman, T. M., Margolis, T. P., Zegans, M. E., Lee, C. S., & Chodosh, J. (2019) · The Ocular Surface · doi:10.1016/j.jtos.2019.10.007 · Cited by 45
Joe, J. T. X., Tseng, Y., Wu, J., & Lu, M.-W. (2021) · Life · doi:10.3390/life11020099 · Cited by 44
Viral Metagenomics in the Clinical Realm: Lessons Learned from a Swiss-Wide Ring Trial
Junier, T., Huber, M., Schmutz, S., Kufner, V., Zagordi, O., Neuenschwander, S. M., Ramette, A., Kubacki, J., Bachofen, C., Qi, W., et al. (2019) · Genes · doi:10.3390/genes10090655 · Cited by 44
Tang, W., Zhang, Y., Luo, C. T., Zhou, L., Zhang, Z., Tang, X., Zhao, X., & An, Y. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.696403 · Cited by 45
He, R., Wang, Q., Wang, J., Tang, J. L., Shen, H., & Zhang, X. (2021) · The Bone & Joint Journal · doi:10.1302/0301-620x.103b5.bjj-2020-0745.r1 · Cited by 43
The management of acute meningitis: an update
Carter, E., & McGill, F. (2022) · Clinical Medicine · doi:10.7861/clinmed.2022-cme-meningitis · Cited by 45
Recent Developments in Tuberculous Meningitis Pathogenesis and Diagnostics
Cresswell, F. V., Davis, A., Sharma, K., Roy, R. B., Ganiem, A. R., Kagimu, E., Solomons, R., Wilkinson, R. J., Bahr, N. C., & Thương, N. T. T. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15506.3 · Cited by 43
Li, M., Yang, F., Lu, Y., & Huang, W. (2020) · BMC Infectious Diseases · doi:10.1186/s12879-020-05179-0 · Cited by 44
Genomic Prediction of Antimicrobial Resistance: Ready or Not, Here It Comes!
Ransom, E. M., Potter, R. F., Dantas, G. A., & Burnham, C. D. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa172 · Cited by 43
Graff, K. E., Dominguez, S. R., & Messacar, K. (2021) · Journal of the Pediatric Infectious Diseases Society · doi:10.1093/jpids/piab067 · Cited by 44
Self-citationChen, H., Zhang, Y., Zheng, J., Shi, L., He, Y., Niu, Y., Lei, J., Zhao, Y., Xia, H., & Chen, T. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.741220 · Cited by 43
Perlejewski, K., Bukowska‐Ośko, I., Rydzanicz, M., Pawełczyk, A., Cortés, K. C., Osuch, S., Paciorek, M., Dzieciątkowski, T., Radkowski, M., & Laskus, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-73156-3 · Cited by 42
Plasma Microbial Cell-Free DNA Sequencing Technology for the Diagnosis of Sepsis in the ICU
Wang, L., Guo, W., Shen, H., Guo, J., Wen, D., Yu, Y., & Wu, W. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.659390 · Cited by 43
Pommier, J., Gorman, C., Crabol, Y., Kevin Bleakley, A., Heng, S., Santy, K., Tran, H. T. T., Nguyen, L. V., Bunnakea, E., Hlaing, C. S., et al. (2022) · The Lancet Global Health · doi:10.1016/s2214-109x(22)00174-7 · Cited by 42
Gould, C. V., Free, R. J., Bhatnagar, J., Soto, R. A., Royer, T. L., Maley, W. R., Moss, S., Berk, M. A., Craig‐Schapiro, R., Kodiyanplakkal, R. P., et al. (2023) · The Lancet Microbe · doi:10.1016/s2666-5247(23)00170-2 · Cited by 41
Self-citationHolmes, E. C., Krammer, F., & Goodrum, F. D. (2024) · Cell · doi:10.1016/j.cell.2024.07.025 · Cited by 46
Evaluation of Metagenomic Deep Sequencing as a Diagnostic Test for Infectious Keratitis
Lalitha, P., Prajna, N. V., Misra, S., Rameshkumar, G., Hinterwirth, A. J., Worden, L., Chen, C., Zhong, L., Liu, Z., Lietman, T. M., et al. (2020) · Ophthalmology · doi:10.1016/j.ophtha.2020.07.030 · Cited by 41
Casto, A. M., Fredricks, D. N., & Hill, J. A. (2021) · Blood Reviews · doi:10.1016/j.blre.2021.100906 · Cited by 41
Fu, Z., Zhang, H., Zhang, Y., Cui, P., Zhou, Y., Wang, H., Lin, K., Zhou, X., Wu, J. Q., Wu, H., et al. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.745156 · Cited by 41
Meningitis, meningoencephalitis and encephalitis in Bern: an observational study of 258 patients
Ungureanu, A., van der Meer, J., Bicvic, A., Abbuehl, L. S., Chiffi, G., Jaques, L., Suter‐Riniker, F., Leib, S. L., Bassetti, C. L., & Dietmann, A. (2021) · BMC Neurology · doi:10.1186/s12883-021-02502-3 · Cited by 41
Sabatier, M., Bal, A., Destras, G., Regue, H., Quéromès, G., Cheynet, V., Lina, B., Bardel, C., Brengel‐Pesce, K., Navratil, V., et al. (2020) · Microorganisms · doi:10.3390/microorganisms8101539 · Cited by 40
Metabuli: sensitive and specific metagenomic classification via joint analysis of amino acid and DNA
Kim, J., & Steinegger, M. (2024) · Nature Methods · doi:10.1038/s41592-024-02273-y · Cited by 42
Lamoureux, C., Surgers, L., Fihman, V., Gricourt, G., Démontant, V., Trawinski, E., N’Debi, M., Gomart, C., Royer, G., Launay, N., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.761873 · Cited by 39
Aksamit, A. J. (2021) · New England Journal of Medicine · doi:10.1056/nejmra2032996 · Cited by 39
Gan, Z., Liu, J., Wang, Y., Yang, L., Lou, Z., Xia, H., Li, M., Chen, Z., Jiang, Y., & Peng, F. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.831959 · Cited by 39
Molecular diagnostics in cerebrospinal fluid for the diagnosis of central nervous system infections
Olie, S. E., Andersen, C. Ø., van de Beek, D., & Brouwer, M. C. (2024) · Clinical Microbiology Reviews · doi:10.1128/cmr.00021-24 · Cited by 38
“Another limitation of mNGS can be that some pathogens may go undetected due to low amount of DNA or RNA in the CSF (44, 310).”
Metagenomic pathogen sequencing in resource-scarce settings: Lessons learned and the road ahead
Yek, C., Pacheco, A. R., Vanaerschot, M., Bohl, J. A., Fahsbender, E., Aranda-Díaz, A., Lay, S., Chea, S., Oum, M. H., Lon, C., et al. (2022) · Frontiers in Epidemiology · doi:10.3389/fepid.2022.926695 · Cited by 40
A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification
Jia, X., Hu, L., Wu, M., Ling, Y., Wang, W., Lu, H., Yuan, Z., Yi, Z., & Zhang, X. (2021) · Scientific Reports · doi:10.1038/s41598-021-83812-x · Cited by 39
Azar, M. M., Turbett, S. E., Gaston, D. C., Gitman, M., Razonable, R. R., Koo, S., Hanson, K. E., Kotton, C. N., Silveira, F. P., Banach, D. B., et al. (2022) · American Journal of Transplantation · doi:10.1111/ajt.17147 · Cited by 38
Self-citationHasan, M. R., Sundararaju, S., Tang, P., Tsui, K.-M., Lopez, A. P., Janahi, M., Tan, R., & Tilley, P. (2020) · Scientific Reports · doi:10.1038/s41598-020-68159-z · Cited by 37
Lathe, R., Schultek, N. M., Balin, B. J., Ehrlich, G. D., Alberi, L. A., Perry, G. L., Breitschwerdt, E. B., Corry, D. B., Doty, R. L., Rissman, R. A., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13076 · Cited by 39
Rapid sequencing‐based diagnosis of infectious bacterial species from meningitis patients in Zambia
Nakagawa, S., Inoue, S., Kryukov, K. A., Yamagishi, J., Ohno, A., Hayashida, K., Nakazwe, R., Kalumbi, M., Mwenya, D., Asami, N., et al. (2019) · Clinical & Translational Immunology · doi:10.1002/cti2.1087 · Cited by 37
Hong, N. T. T., Anh, N. T., Hoang, N. T., Nghia, H. D. T., Nhu, L. N. T., Thanh, T. T., Phu, N. H., Deng, X., van Doorn, H. R., Châu, N. V. V., et al. (2020) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofaa046 · Cited by 37
Huang, H., Shi, J., Zheng, M., Su, S., Chen, W., Ming, J., Ren, T., & Qu, D. (2023) · European Spine Journal · doi:10.1007/s00586-023-07707-3 · Cited by 36
Clinical metagenomics for diagnosis and surveillance of viral pathogens
Montaguth, O. E. T., Buddle, S., Morfopoulou, S., & Breuer, J. (2025) · Nature Reviews Microbiology · doi:10.1038/s41579-025-01223-5 · Cited by 37
Kerkhoff, A. D., Rutishauser, R. L., Miller, S. A., & Babik, J. M. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciz1245 · Cited by 36
Self-citationA Sarcina bacterium linked to lethal disease in sanctuary chimpanzees in Sierra Leone
Owens, L. A., Colitti, B., Hirji, I., Pizarro, A. I., Jaffe, J. E., Moittié, S., Bishop‐Lilly, K. A., Estrella, L. A., Voegtly, L. J., Kuhn, J. H., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21012-x · Cited by 36
Mohsin, F., Suleman, S., Anzar, N., Narang, J., & Wadhwa, S. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.07.027 · Cited by 35
Fang, M., Weng, X., Chen, L., Chen, Y., Chi, Y., Chen, W., & Hu, Z. (2020) · BMC Infectious Diseases · doi:10.1186/s12879-020-4872-8 · Cited by 35
Diagnosing Balamuthia mandrillaris encephalitis via next-generation sequencing in a 13-year-old girl
Xia, W., Yan, G., Han, S., Ye, Y., Cheng, X., Gong, H., & Yu, H. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1775130 · Cited by 35
Solomon, I. H., Ganesh, V. S., Yu, G., Deng, X. D., Wilson, M. R., Miller, S. A., Milligan, T. A., Mukerji, S. S., Mathewson, A. A., Linxweiler, J., et al. (2020) · Emerging infectious diseases · doi:10.3201/eid2701.203448 · Cited by 35
Self-citationBeyond the Gastrointestinal Tract: The Emerging and Diverse Tissue Tropisms of Astroviruses
Janowski, A. B. (2021) · Viruses · doi:10.3390/v13050732 · Cited by 35
Detection of cryptogenic malignancies from metagenomic whole genome sequencing of body fluids
Gu, W., Talevich, E., Hsu, E. D., Qi, Z., Urisman, A., Federman, S., Gopez, A., Arevalo, S., Gottschall, M., Liao, L., et al. (2021) · Genome Medicine · doi:10.1186/s13073-021-00912-z · Cited by 35
Self-citationProspective Evaluation of a Rapid Clinical Metagenomics Test for Bacterial Pneumonia
Mu, S., Hu, L., Zhang, Y., Liu, Y., Cui, X., Zou, X., Wang, Y., Lu, B., Zhou, S., Liang, X., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.2139/ssrn.3779202 · Cited by 36
Future potential of metagenomics in microbiology laboratories
Schuele, L., Cassidy, H., Peker, N., Rossen, J. W. A., & Couto, N. (2021) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2021.2001329 · Cited by 35
Minich, J. J., Ali, F., Marotz, C. A., Belda‐Ferre, P., Chiang, L., Shaffer, J. P., Carpenter, C. S., McDonald, D. T., Gilbert, J. A., Allard, S. M., et al. (2021) · Microbiome · doi:10.1186/s40168-020-00960-4 · Cited by 34
Clinical applications of metagenomics next-generation sequencing in infectious diseases
Liu, Y., & Ma, Y. (2024) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2300029 · Cited by 37
Russell, T., Formiconi, E., Casey, M., McElroy, M., Mallon, P. W. G., & Gautier, V. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26199831 · Cited by 40
Fatal Encephalitis Caused by Cristoli Virus, an Emerging Orthobunyavirus, France
Rodriguez, C., Gricourt, G., N’Debi, M., Démontant, V., Poiteau, L., Burrel, S., Boutolleau, D., Woerther, P., Cálvez, V., Ströer, S., et al. (2020) · Emerging infectious diseases · doi:10.3201/eid2606.191431 · Cited by 33
Kalyatanda, G., Rand, K. H., Lindner, M. S., Hong, D. K., Albayram, S., Gregory, J., Kresak, J. L., Ibne, K. M. A., Cope, J. R., Roy, S., et al. (2020) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofaa189 · Cited by 33
Ramchandar, N., Coufal, N. G., Warden, A. S., Briggs, B. J., Schwarz, T. M., Stinnett, R. C., Xie, H., Schlaberg, R., Foley, J., Clarke, C., et al. (2021) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofab104 · Cited by 33
Self-citationChen, J., Zhang, R., Liu, L., Qi, T., Wang, Z., Song, W., Tang, Y., Sun, J., Liu, D., Lin, Y., et al. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.04.057 · Cited by 33
Ramachandran, P., Wilson, M. R., Catho, G., Rohner, G. B., Schiess, N., Cohrs, R. J., Boutolleau, D., Burrel, S., Yoshikawa, T., Wapniarski, A. E., et al. (2021) · Viruses · doi:10.3390/v13112286 · Cited by 33
Self-citationGao, D., Hu, Y., Jiang, X., Pu, H., Guo, Z., & Zhang, Y. (2021) · Annals of Translational Medicine · doi:10.21037/atm-21-5488 · Cited by 33
Genomic and serologic characterization of enterovirus A71 brainstem encephalitis
Leon, K. E., Schubert, R. D., Casas-Alba, D., Hawes, I. A., Ramachandran, P. S., Ramesh, A., Pak, J. E., Wu, W., Cheung, C. K., Crawford, E. D., et al. (2020) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000703 · Cited by 32
Self-citationMourik, K., Sidorov, I. A., Carbo, E. C., van der Meer, D., Boot, A., Kroes, A. C. M., Claas, E. C. J., Boers, S. A., & de Vries, J. J. C. (2024) · Journal of Clinical Microbiology · doi:10.1128/jcm.00345-24 · Cited by 32
Gao, Q., Li, L., Su, T., Liu, J., Chen, L., Yi, Y., Huan, Y., He, J., & Song, C. (2024) · Respiratory Research · doi:10.1186/s12931-024-02887-y · Cited by 32
Li, C., Li, W., Zhou, J., Zhang, B., Feng, Y., Xu, C., Lu, Y.-Y., Holmes, E. C., & Shī, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-60992-6 · Cited by 34
Roy, R. B., Thee, S. A., Blázquez‐Gamero, D., Falcón-Neyra, L., Neth, O., Noguera‐Julián, A., Lillo, C., Galli, L., Venturini, E., Buonsenso, D., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.02004-2019 · Cited by 32
Liu, W., Fan, Z., Zhang, Y., Huang, F., Xu, N., Xuan, L., Liu, H., Shi, P., Wang, Z., Xu, J., et al. (2021) · Bone Marrow Transplantation · doi:10.1038/s41409-021-01243-8 · Cited by 31
Shu, H., Ding, M., Shang, P., Song, J. T., Lang, Y., & Cui, L. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.782490 · Cited by 31
Viruses Causing Aseptic Meningitis: A Tertiary Medical Center Experience With a Multiplex PCR Assay
Aldriweesh, M. A., Shafaay, E. A., Alwatban, S. M., Alkethami, O. M., Aljuraisi, F. N., Bosaeed, M., & Alharbi, N. K. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.602267 · Cited by 30
“In fact, mNGS was able to identify 16 pathogens that could not otherwise be detected by routine methods (35), attesting to its robustness and sensitivity.”
BackgroundMetagenomic analysis of a blood stain from the French revolutionary Jean-Paul Marat (1743–1793)
de-Dios, T., van Dorp, L., Charlier, P., Morfopoulou, S., Lizano, E., Bon, C., Bitouzé, C. L., Álvarez-Estapé, M., Marquès‐Bonet, T., Balloux, F., et al. (2020) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2020.104209 · Cited by 33
Al‐Qahtani, S. M., Shati, A. A., Alqahtani, Y. A., & Ali, A. S. (2022) · Frontiers in Pediatrics · doi:10.3389/fped.2022.923125 · Cited by 33
Sekyere, J. O. (2025) · MicrobiologyOpen · doi:10.1002/mbo3.70104 · Cited by 30
Bharucha, T., Gangadharan, B., Kumar, A., de Lamballerie, X. N., Newton, P. N., Winterberg, M., Dubot‐Pérès, A., & Zitzmann, N. (2019) · Journal of Infection · doi:10.1016/j.jinf.2019.08.005 · Cited by 34
Antiviral activity of ribavirin and favipiravir against human astroviruses
Janowski, A. B., Dudley, H. M., & Wang, D. (2019) · Journal of Clinical Virology · doi:10.1016/j.jcv.2019.104247 · Cited by 30
He, B., Gong, W., Yan, X., Zhao, Z., Yang, L., Tan, Z., Xu, L., Zhu, A., Zhang, J., Rao, J., et al. (2021) · mSystems · doi:10.1128/msystems.00420-21 · Cited by 30
Clinical Impact of Plasma Metagenomic Next-generation Sequencing in a Large Pediatric Cohort
Niles, D. T., Revell, P. A., Ruderfer, D., Marquez, L., McNeil, J. C., & Palazzi, D. L. (2021) · The Pediatric Infectious Disease Journal · doi:10.1097/inf.0000000000003395 · Cited by 30
Stefan, C. P., Hall, A. T., Graham, A. S., & Minogue, T. D. (2022) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2021.12.005 · Cited by 30
Metadata
- Authors
- Wilson, M. R., Sample, H. A., Zorn, K. C., Arevalo, S., Yu, G., Neuhaus, J., Federman, S., Stryke, D., Briggs, B., Langelier, C., Berger, A., Douglas, V., Josephson, S. A., Chow, F. C., Fulton, B. D., DeRisi, J. L., Gelfand, J. M., Naccache, S. N., Bender, J., Dien Bard, J., Murkey, J., Carlson, M., Vespa, P. M., Vijayan, T., Allyn, P. R., Campeau, S., Humphries, R. M., Klausner, J. D., Ganzon, C. D., Memar, F., Ocampo, N. A., Zimmermann, L. L., Cohen, S. H., Polage, C. R., DeBiasi, R. L., Haller, B., Dallas, R., Maron, G., Hayden, R., Messacar, K., Dominguez, S. R., Miller, S., & Chiu, C. Y.
- Affiliations
- University of California, San Francisco (US)
- Children's Hospital Los Angeles (US)
- From the Departments of Neurology (M.R.W., V.D., S.A.J., F.C.C., J.M.G.), Biochemistry and Biophysics (H.A.S., K.C.Z., J.L.D.), Laboratory Medicine (S.A., G.Y., S.F., D.S., B.B., B.H., S.M., C.Y.C.), and Epidemiology and Biostatistics (J.N.), the Department of Medicine, Division of Infectious Diseases (C.L., C.Y.C.), the Department of Medicine, Division of Hospital Medicine (A.B.), and Weill Institute for Neurosciences (M.R.W., V.D., S.A.J., F.C.C., J.M.G.), University of California, San Francisco ...
- University of California, Los Angeles (US)
- Children's National (US)
- San Francisco General Hospital (US)
- St. Jude Children's Research Hospital (US)
- ORCID
- Wilson, Michael R.
- Sample, Hannah A.
- Zorn, Kelsey C.
- Yu, Guixia
- Neuhaus, John
- Federman, Scot
- Briggs, Benjamin
- Langelier, Charles
- Douglas, Vanja
- Josephson, S. Andrew
- Chow, Felicia C.
- Fulton, Brent D.
- DeRisi, Joseph L.
- Gelfand, Jeffrey M.
- Naccache, Samia N.
- Bender, Jeffrey
- Murkey, Jamie
- Vijayan, Tara
- Allyn, Paul R.
- Humphries, Romney M.
- Klausner, Jeffrey D.
- Cohen, Stuart H.
- Polage, Christopher R.
- DeBiasi, Roberta L.
- Dallas, Ronald
- Hayden, Randall
- Messacar, Kevin
- Dominguez, Samuel R.
- Miller, Steve
- Chiu, Charles Y.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2019-06-13
- Volume
- 380
- Issue
- 24
- Pages
- 2327-2340
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC6764751
- OpenAlex
- W2953017819
- Cited by
- 1,067
- References
- 27
- Citations by year
- 2026: 148 · 2025: 152 · 2024: 149 · 2023: 151 · 2022: 164 · 2021: 146 · 2020: 116 · 2019: 39
- FWCI
- 83.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (K08NS096117)
- National Heart, Lung, and Blood Institute (HL105704, U54HL119893)
- California Initiative to Advance Precision Medicine
- National Center for Advancing Translational Sciences (UL1TR000004)
- Bowes Foundation
- Charles and Helen Schwab Foundation
- Sandler Foundation
- Rachleff Family Endowment
- Chan Zuckerberg Biohub
- George and Judy Marcus Innovation Fund
- Topics
- Health Sciences › Medicine › Microbiology (medical) › Bacterial Identification and Susceptibility Testing
- Life Sciences › Immunology and Microbiology › Microbiology › Bacterial Infections and Vaccines
- Health Sciences › Medicine › Infectious Diseases › Infectious Encephalopathies and Encephalitis
- Keywords
- metagenomic sequencing, cerebrospinal fluid, infectious meningitis, encephalitis, neuroinvasive infection, pathogen detection, clinical microbiology, telemedicine, physician feedback, pediatric patients, intensive care unit admission
- MeSH terms
- Adolescent, Adult, Cerebrospinal Fluid, Child, Child, Preschool, Encephalitis, Female, Humans, Infant, Infections, Length of Stay, Male, Meningitis, Meningoencephalitis, Middle Aged, Myelitis, Prospective Studies, Sequence Analysis, DNA, Sequence Analysis, RNA, Young Adult, Metagenomics, High-Throughput Nucleotide Sequencing, Genome, Microbial
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review