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Li K, Li S, Hong J, Cheng W, Zhang Y, Liang Z, Tang Q, Shen B. Meningitis and sepsis caused by Streptococcus suis in an elderly woman: A CARE-compliant case report. Medicine (Baltimore) 2023; 102:e35780. [PMID: 37904422 PMCID: PMC10615554 DOI: 10.1097/md.0000000000035780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 10/04/2023] [Indexed: 11/01/2023] Open
Abstract
RATIONALE Streptococcus suis (S suis)-associated infections are uncommon but life-threatening diseases. The clinical manifestations vary from general symptoms of bacterial infection to fatal meningitis. The clinical manifestation and routine diagnostic testing is not specific enough to obtain well-time diagnosis. PATIENT CONCERNS AND DIAGNOSIS We report a case of meningitis and sepsis caused by S suis infection. A 70-year-old woman presented to our emergency department with generalized pain. After hospital admission, her condition rapidly deteriorated to fever, intracranial hypertension, and disturbance of consciousness. Examination of the blood and cerebrospinal fluid with metagenomic next-generation sequencing and bacterial cultures revealed S suis infection. INTERVENTIONS AND OUTCOMES After anti-infection therapy with meropenem and vancomycin, the patient recovered and was discharged from the hospital with no residual effects. LESSONS Human infections with S suis are extremely rare. If clinicians encounter a patient with fever, disturbance of consciousness, and intracranial hypertension, especially those who have been exposed to raw pork, S suis infection should be considered. Metagenomic next-generation sequencing can be a useful adjunct for the rapid diagnosis of S suis infection and aid in the planning of clinical treatment. Meanwhile, public health awareness is necessary to limit the risk of S suis infection.
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Affiliation(s)
- Kuangyi Li
- Department of Emergency Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan City, Guangdong Province, China
| | - Shilan Li
- The Eighth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Foshan City, Guangdong Province, China
| | - Jiana Hong
- The Eighth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Foshan City, Guangdong Province, China
| | - Weiyin Cheng
- Department of Clinical Nutrition, Foshan Hospital of Traditional Chinese Medicine, Foshan City, Guangdong Province, China
| | - Yingjian Zhang
- Department of Emergency Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan City, Guangdong Province, China
| | - Zhangrong Liang
- Department of Emergency Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan City, Guangdong Province, China
| | - Qi Tang
- Department of Emergency Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan City, Guangdong Province, China
| | - Bisheng Shen
- Department of Emergency Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan City, Guangdong Province, China
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Zhong J, Liu Y, Luo N, Wei Q, Su Q, Zou J, Wu X, Huang X, Jiang Y, Liang L, Li H, Lin J. Metagenomic next-generation sequencing for rapid detection of pulmonary infection in patients with acquired immunodeficiency syndrome. Ann Clin Microbiol Antimicrob 2023; 22:57. [PMID: 37430367 DOI: 10.1186/s12941-023-00608-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/05/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND Acquired immunodeficiency syndrome (AIDS) is associated with a high rate of pulmonary infections (bacteria, fungi, and viruses). To overcome the low sensitivity and long turnaround time of traditional laboratory-based diagnostic strategies, we adopted metagenomic next-generation sequencing (mNGS) technology to identify and classify pathogens. RESULTS This study enrolled 75 patients with AIDS and suspected pulmonary infections who were admitted to Nanning Fourth People's Hospital. Specimens were collected for traditional microbiological testing and mNGS-based diagnosis. The diagnostic yields of the two methods were compared to evaluate the diagnostic value (detection rate and turn around time) of mNGS for infections with unknown causative agent. Accordingly, 22 cases (29.3%) had a positive culture and 70 (93.3%) had positive valve mNGS results (P value < 0.0001, Chi-square test). Meanwhile, 15 patients with AIDS showed concordant results between the culture and mNGS, whereas only one 1 patient showed concordant results between Giemsa-stained smear screening and mNGS. In addition, mNGS identified multiple microbial infections (at least three pathogens) in almost 60.0% of patients with AIDS. More importantly, mNGS was able to detect a large variety of pathogens from patient tissue displaying potential infection and colonization, while culture results remained negative. There were 18 members of pathogens which were consistently detected in patients with and without AIDS. CONCLUSIONS In conclusion, mNGS analysis provides fast and precise pathogen detection and identification, contributing substantially to the accurate diagnosis, real-time monitoring, and treatment appropriateness of pulmonary infection in patients with AIDS.
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Affiliation(s)
- Juan Zhong
- Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China.
| | - Yanfen Liu
- The Fourth People's Hospital of Nanning, Nanning, China
| | - Na Luo
- NanNing Center for Disease Control and Prevention, Nanning, China
| | - Qiu Wei
- Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China
| | - Qisi Su
- The Fourth People's Hospital of Nanning, Nanning, China
| | - Jun Zou
- The Fourth People's Hospital of Nanning, Nanning, China
| | - Xiaozhong Wu
- Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China
| | | | - Yuting Jiang
- Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China
| | - Lijuan Liang
- Nanning Yunju Biotechnology Co., Ltd, Nanning, China
| | - Hongmian Li
- The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
| | - Jianyan Lin
- The First People's Hospital of Nanning, Nanning, China.
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Jiang S, Chen Y, Han S, Lv L, Li L. Next-Generation Sequencing Applications for the Study of Fungal Pathogens. Microorganisms 2022; 10:microorganisms10101882. [PMID: 36296159 PMCID: PMC9609632 DOI: 10.3390/microorganisms10101882] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 11/16/2022] Open
Abstract
Next-generation sequencing (NGS) has become a widely used technology in biological research. NGS applications for clinical pathogen detection have become vital technologies. It is increasingly common to perform fast, accurate, and specific detection of clinical specimens using NGS. Pathogenic fungi with high virulence and drug resistance cause life-threatening clinical infections. NGS has had a significant biotechnological impact on detecting bacteria and viruses but is not equally applicable to fungi. There is a particularly urgent clinical need to use NGS to help identify fungi causing infections and prevent negative impacts. This review summarizes current research on NGS applications for fungi and offers a visual method of fungal detection. With the development of NGS and solutions for overcoming sequencing limitations, we suggest clinicians test specimens as soon as possible when encountering infections of unknown cause, suspected infections in vital organs, or rapidly progressive disease.
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Affiliation(s)
- Shiman Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Yanfei Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Shengyi Han
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Longxian Lv
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250021, China
- Correspondence: ; Tel.: +86-0571-8723-6458
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Li X, Du H, Song Z, Wang H, Long X. Polymicrobial Anaerobic Meningitis Detected by Next-Generation Sequencing: Case Report and Review of the Literature. Front Med (Lausanne) 2022; 9:840910. [PMID: 35273982 PMCID: PMC8902384 DOI: 10.3389/fmed.2022.840910] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 01/31/2022] [Indexed: 12/28/2022] Open
Abstract
Background Anaerobic meningitis is a severe central nervous system infection associated with significant neurological sequelae and high mortality. However, the precise detection of causative pathogen(s) remains difficult because anaerobic bacteria are difficult to culture. Next-generation sequencing is a technology that was developed recently and has been applied in many fields. To the best of our knowledge, the use of next-generation sequencing for cerebrospinal fluid analysis in the diagnosis of anaerobic meningitis has been rarely reported. Case presentation Here, we report a case of polymicrobial anaerobic meningitis diagnosed using next-generation sequencing of cerebrospinal fluid in a 16-year-old girl. Five species of anaerobic bacteria (Porphyromonas gingivalis, Prevotella enoeca, Campylobacter rectus, Fusobacterium uncleatum, and Actinomyces israelii) were detected by next-generation sequencing and treated with antibacterial agents (ceftriaxone, vancomycin, and metronidazole). The patient responded well to antibacterial treatment. Further inspection revealed bone destruction at the base of the skull, which further confirmed that these bacteria had originated from the oral cavity. One month later, the patient's condition improved significantly. At the same time, we performed a literature review on anaerobic meningitis using studies published in the last 20 years. Conclusions This case emphasizes the importance of applying metagenomic next-generation sequencing to clinch the clinical diagnosis for patients with central nervous system infection. Metagenomic next-generation sequencing has been reported to be an important diagnostic modality for identifying uncommon pathogens.
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Affiliation(s)
- Xiaoqiang Li
- Department of Neurology, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China
| | - Hui Du
- Department of Clinical Laboratory Center, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China
| | - Zhibin Song
- Department of Neurology, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China
| | - Hui Wang
- Department of Neurology, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China
| | - Xiong Long
- Emergency Department, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China
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