scholarly journals The metagenomic next-generation sequencing in diagnosing central nervous system angiostrongyliasis: a case report

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Li Feng ◽  
Aiwu Zhang ◽  
Jiali Que ◽  
Hongyan Zhou ◽  
Haiyan Wang ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Next Generation Sequencing ◽  
Clinical Manifestations ◽  
Next Generation ◽  
Opening Pressure ◽  
Csf Analysis ◽  
Elevated Protein ◽  
The Central Nervous System ◽  
Generation Sequencing

Abstract Backgrounds The incidence of angiostrongyliasis is increasing in recent decades due to the expanding endemic areas all over the world. Clinicians face tremendous challenge of diagnosing angiostrongyliasis because of the lack of awareness of the disease and less effective definitive laboratory tests. Case presentation A 27-year-old man initially manifested skin itching, emesis, myalgia and quadriparesis. With progressive weakness of four limbs and elevated protein in the cerebrospinal fluid (CSF), he was diagnosed as Guillain-Barré syndrome and treated with intravenous methylprednisolone and immunoglobulin. However, the patient deteriorated with hyperpyrexia, headache and then persistent coma. The routine tests for Angiostrongylus cantonensis (A. cantonensis) with both the CSF and the serum were all negative. In contrast, the metagenomic next-generation sequencing (mNGS) was applied with the serum sample and the CSF sample in the middle phase. The central nervous system (CNS) angiostrongyliasis was diagnosed by mNGS with the mid-phase CSF, but not the mid-phase serum. At the same time, the CSF analysis revealed eosinophils ratio up to 67%. The discovery of A. cantonensis was confirmed by PCR with CSF later. Unfortunately, the patient died of severe angiostrongyliasis. During his hospitalization, mNGS was carried out repeatedly after definitive diagnosis and targeted treatment. The DNA strictly map reads number of A. cantonensis detected by mNGS was positively correlated with the CSF opening pressure and clinical manifestations. Conclusions The case of A. cantonensis infection highlights the benefit of mNGS as a target-free identification in disclosing the rare CNS angiostrongyliasis in the unusual season, while solid evidence from routine clinical testing was absent. The appropriate sample of mNGS should be chosen according to the life cycle of A. cantonensis. Besides, given the fact that the DNA reads number of A. cantonensis fluctuated with CSF opening pressure and clinical manifestations, whether mNGS could be applied as a marker of effectiveness of treatment is worth further exploration.

scholarly journals Metagenomic Next-Generation Sequencing for Pathogen Detection and Transcriptomic Analysis in Pediatric Central Nervous System Infections

2021 ◽  
Author(s):  
Nanda Ramchandar ◽  
Nicole G Coufal ◽  
Anna S Warden ◽  
Benjamin Briggs ◽  
Toni Schwarz ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Next Generation Sequencing ◽  
Usual Care ◽  
Transcriptomic Analysis ◽  
Cns Infection ◽  
Metagenomic Sequencing ◽  
Next Generation ◽  
Cns Infections ◽  
Generation Sequencing

Abstract Background Pediatric central nervous system (CNS) infections are potentially life-threatening and may incur significant morbidity. Identifying a pathogen is important, both in terms of guiding therapeutic management, but also in characterizing prognosis. Usual care testing by culture and PCR is often unable to identify a pathogen. We examined the systematic application of metagenomic next-generation sequencing (mNGS) for detecting organisms and transcriptomic analysis of cerebrospinal fluid (CSF) in children with CNS infections. Methods We conducted a prospective multi-site study that aimed to enroll all children with a CSF pleocytosis and suspected CNS infection admitted to one of three tertiary pediatric hospitals during the study timeframe. After usual care testing had been performed, the remaining CSF was sent for mNGS and transcriptomic analysis. Results We screened 221 and enrolled 70 subjects over a 12-month recruitment period. A putative organism was isolated from CSF in 25 (35.7%) subjects by any diagnostic modality. mNGS of the CSF samples identified a pathogen in 20 (28.6%) subjects, which were also all identified by usual care testing. The median time to result was 38 hours. Conclusion Metagenomic sequencing of CSF has the potential to rapidly identify pathogens in children with CNS infections.

scholarly journals Detection of Listeria monocytogenes in a patient with meningoencephalitis using next-generation sequencing: a case report

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zi-Wei Lan ◽  
Min-Jia Xiao ◽  
Yuan-lin Guan ◽  
Ya-Jing Zhan ◽  
Xiang-Qi Tang
Keyword(s):  
Listeria Monocytogenes ◽  
Next Generation Sequencing ◽  
Mammalian Cells ◽  
Clinical Manifestations ◽  
Bacterial Pathogen ◽  
Next Generation ◽  
Accurate Treatment ◽  
The Central Nervous System ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

Abstract Background Listeria monocytogenes (L. monocytogenes) is a facultative intracellular bacterial pathogen which can invade different mammalian cells and reach to the central nervous system (CNS), leading to meningoencephalitis and brain abscesses. In the diagnosis of L. monocytogenes meningoencephalitis (LMM), the traditional test often reports negative owing to the antibiotic treatment or a low number of bacteria in the cerebrospinal fluid. To date, timely diagnosis and accurate treatment remains a challenge for patients with listeria infections. Case presentation We present the case of a 66-year-old woman whose clinical manifestations were suspected as tuberculous meningoencephalitis, but the case was finally properly diagnosed as LMM by next-generation sequencing (NGS). The patient was successfully treated using a combined antibacterial therapy, comprising ampicillin and trimethoprim-sulfamethoxazole. Conclusion To improve the sensitivity of LMM diagnosis, we used NGS for the detection of L. monocytogenes. Hence, the clinical utility of this approach can be very helpful since it provides quickly and trust results.

scholarly journals 342. Clinical Utility of a Next Generation Sequencing Test for Pathogen Detection in Pediatric Central Nervous System Infections

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S241-S241
Author(s):  
Nanda Ramchandar ◽  
Jennifer Foley ◽  
Claudia Enriquez ◽  
Stephanie Osborne ◽  
Antonio Arrieta ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Next Generation Sequencing ◽  
Standard Care ◽  
Cns Infection ◽  
Next Generation ◽  
Diagnostic Modality ◽  
Cns Infections ◽  
Pcr Multiplex ◽  
Generation Sequencing

Abstract Background Pediatric central nervous system (CNS) infections are potentially life-threatening and may incur significant morbidity. Identifying a pathogen is important, both in terms of guiding therapeutic management, but also in characterizing prognosis. However, standard care testing by culture, serology, and PCR is often unable to identify a pathogen. We examined use of next generation sequencing (NGS) of cerebrospinal fluid (CSF) in detecting an organism in children with CNS infections. Methods We prospectively enrolled children with CSF pleocytosis and suspected CNS infection admitted to 3 tertiary pediatric hospitals. After standard care testing had been performed, the remaining CSF was submitted for analysis by NGS. Results We enrolled 70 subjects over a 12-month recruitment period. A putative organism was isolated from CSF in 24 (34.3%) subjects by any diagnostic modality. NGS of the CSF samples identified a pathogen in 20 (28.6%) subjects. False positive results by NGS were identified in 2 patients. There were no cases in which NGS alone identified a pathogen. In 4 cases, a putative organism was recovered by standard care testing of the CSF, but not by CSF NGS. CSF culture recovered a putative organism in 12 cases (12.1%). A CSF PCR multiplex panel was utilized for 51 subjects. An organism was detected in 15 of these (29.4%). Using a reference composite of standard care testing, we determined the sensitivity and specificity of CSF NGS to be 83.3% (95% CI, 62.6–95.3%) and 91.3% (95% CI, 79.2–97.6%) respectively. Conclusion Sequencing of CSF has the potential to rapidly and comprehensively identify infection with a single test. Further studies are needed to determine the optimal use of NGS for diagnosis of CNS infections. Disclosures All Authors: No reported disclosures

scholarly journals Metagenomic Next-generation Sequencing of Cerebrospinal Fluid for the Diagnosis of Central Nervous System infections in HIV-infected patients

2019 ◽  
Author(s):  
Nai qing Zheng ◽  
Pengle Guo ◽  
Xiejie Chen ◽  
Haolan He ◽  
Yueping Li ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Next Generation Sequencing ◽  
Clinical Diagnosis ◽  
Central Nervous System Infection ◽  
Next Generation ◽  
Central Nervous System Infections ◽  
Cns Infections ◽  
Conventional Methods ◽  
Generation Sequencing

Abstract Background HIV-infected patients have extremely low immunity and various opportunistic infections. Early diagnosis and treatment of these pathogens is critical for patients with HIV infection, especially those with central nervous system (CNS) infections. Metagenomic next generation sequencing (mNGS) has the advantage of identifying a broad range of pathogens and was suggested as a promising tool in the clinical diagnosis for infectious diseases. The clinical application of mNGS in the diagnosis of CNS infections in patients infected with HIV remains inadequately characterized.Methods We retrospectively analyzed data from 22 patients with suspected central nervous system infections who underwent both mNGS and conventional methods including culture, PCR, X-pert/RIF and antigen testing to explored the utility of mNGS in clinical diagnostic microbiology of CNS infections in HIV-infected patients.Results A total of 22 patients participated in the study between June 2018 and May 2019. The consistency of positive percentage of mNGS compared to clinical diagnosis was significantly higher than that of conventional methods (86.36% vs. 45.21%). The proportion of co-infections in mNGS positive samples was significantly higher than that in traditional methods (40.91% vs. 14.39%). Sixteen Extra Pathogens in 14 cases identified by metagenomic NGS only, 6 pathogens affected clinical reasoning and 7 pathogens guided antimicrobial therapy.Conclusions MNGS is a powerful diagnostic method for identifying pathogens in central nervous system infections and provide actionable information in some cases. MNGS technology has positive significance for the diagnosis and clinical treatment of central nervous system infection in HIV-infected patients.

scholarly journals Metagenomic Next-generation Sequencing of Cerebrospinal Fluid for the Diagnosis of Central Nervous System Infections: A Multicentre Prospective Study

2019 ◽  
Author(s):  
Siyuan Fan ◽  
Xiaojuan Wang ◽  
Yafang Hu ◽  
Jingping Shi ◽  
Yueli Zou ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Cerebrospinal Fluid ◽  
Nervous System ◽  
Next Generation Sequencing ◽  
Bacterial Infections ◽  
Bacterial Species ◽  
Next Generation ◽  
Central Nervous System Infections ◽  
Varicella Zoster ◽  
Generation Sequencing

ABSTRACTBackgroundInfectious encephalitis and meningitis are often treated empirically without identification of the causative pathogen. Metagenomic next-generation sequencing (mNGS) is a high throughput technology that enables the detection of pathogens independent of prior clinical or laboratory information.MethodsThe present study was a multicentre prospective evaluation of mNGS of cerebrospinal fluid (CSF) for the diagnosis of suspected central nervous system infections.ResultsA total of 276 patients were enrolled in this study between Jan 1, 2017 and Jan 1, 2018. Identification of an etiologic pathogen in CSF by mNGS was achieved in 101 patients (36.6%). mNGS detected 11 bacterial species, 7 viral species, 2 fungal species, and 2 parasitic species. The five leading positive detections were varicella-zoster virus (17), Mycobacterium tuberculosis (14), herpes simplex virus 1 (12), Epstein-Barr virus (12), and Cryptococcus neoformans (7). False positives occurred in 12 (4.3%) patients with bacterial infections known to be widespread in hospital environments. False negatives occurred in 16 (5.8%) patients and included bacterial, viral and fungal aetiologies.ConclusionsmNGS of CSF is a powerful diagnostic method to identify the pathogen for many central nervous system infections.

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