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Shi J, Danesh-Meyer HV, Bhatti MT. Neuroretinitis: a comprehensive review on aetiologies, clinical manifestations, and treatment options. Eye (Lond) 2024:10.1038/s41433-024-03466-7. [PMID: 39537838 DOI: 10.1038/s41433-024-03466-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 10/01/2024] [Accepted: 11/05/2024] [Indexed: 11/16/2024] Open
Abstract
Neuroretinitis connotes a descriptive clinical entity of optic disc oedema in association with macular exudates in a star configuration. Accordingly, it does not indicate a specific aetiology, although cat scratch disease caused by Bartonella henselae is the most common cause. Historically, the recognition of neuroretinitis dates to the early 20th century with the eventual understanding that the optic disc is the primary target of disease with secondary macular involvement. Neuroretinitis can be broadly divided into four categories: infectious, inflammatory, autoimmune and mimickers. The intention of this article is to review the various aetiologies of neuroretinitis with a focus on the etiopathogenesis, clinical manifestations, and management of B. henselae associated neuroretinitis and recurrent idiopathic neuroretinitis.
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Affiliation(s)
- Jane Shi
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand
| | - Helen V Danesh-Meyer
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand
- Department of Ophthalmology, New Zealand National Eye Centre, University of Auckland, Auckland, New Zealand
| | - M Tariq Bhatti
- Department of Ophthalmology, The Permanente Medical Group, Kaiser Permanente- Northern California, Roseville, CA, USA.
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2
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Wang J, Chen T, Peng S, Li L, Wang L, Li J, He W. Multiple skin abscesses due to Nocardia neocaledoniensis: a case report and literature review. BMC Infect Dis 2024; 24:1259. [PMID: 39511490 PMCID: PMC11542391 DOI: 10.1186/s12879-024-10177-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 11/04/2024] [Indexed: 11/15/2024] Open
Abstract
N. neocaledoniensis is a very rare infectious pathogen that causes human disease, particularly in immunocompromised individuals. In this case report, we describe the successful diagnosis of N. neocaledoniensis in a patient confirmed by mNGS and the treatment of multiple skin abscesses due to N. neocaledoniensis infection. mNGS is an important diagnostic method complementary to routine bacterial culture and identification methods, especially for rare, novel, co-infected pathogens, and pathogens that are difficult to culture. This report may provide a reference for the clinical treatment and diagnosis of N. neocaledoniensis infection in humans.
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Affiliation(s)
- Jun Wang
- Affiliated Hospital of Panzhihua University, Panzhihua, China
| | - Taigui Chen
- Affiliated Hospital of Panzhihua University, Panzhihua, China.
| | - Shijie Peng
- Affiliated Hospital of Panzhihua University, Panzhihua, China
| | - Lianbao Li
- Panzhihua Central Hospital, Panzhihua, China
| | - Liling Wang
- Affiliated Hospital of Panzhihua University, Panzhihua, China
| | - Jun Li
- Affiliated Hospital of Panzhihua University, Panzhihua, China
| | - Wei He
- Affiliated Hospital of Panzhihua University, Panzhihua, China
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Yao QH, Xia XJ, Meng XC, Zhi HL, Xu Y, Ge LY, Liu ZH. A multivariable model of clinical features for distinguishing sporotrichosis and Mycobacterium marinum cutaneous infection. Diagn Microbiol Infect Dis 2024; 111:116590. [PMID: 39520774 DOI: 10.1016/j.diagmicrobio.2024.116590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Revised: 10/27/2024] [Accepted: 10/30/2024] [Indexed: 11/16/2024]
Abstract
To investigate differences in the clinical features of patients with sporotrichosis and cutaneous Mycobacterium marinum infection, and develop a prediction model for the initial identification. A total of 121 patients were selected based on the results from etiological culture. Logistic regression analyses were employed to identify the most valuable variables. In the multivariate logistic regression analysis, the following were finally considered independent predictors (OR = 3.650∼14.024, P<0.05) of cutaneous M. marinum infection: age<60 years (P = 0.031); female (P = 0.001); only the extremities involved (P = 0.031); clear triggers (P = 0.022); and presence of swelling (P = 0.024). A nomogram was developed based on these factors, and the area under the curve was 0.860. The model presented is based on clinical features and can help identify patients with sporotrichosis and cutaneous M. marinum infection. This may help increase the accuracy of doctors' initial examination and diagnostic outcomes.
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Affiliation(s)
- Qi-Hao Yao
- Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China; Zhejiang University School of Medicine, Hangzhou, China.
| | - Xiu-Jiao Xia
- Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.
| | - Xing-Chen Meng
- Department of Infection Control, Hangzhou Third People's Hospital, Hangzhou, China.
| | - Hui-Lin Zhi
- Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.
| | - Yuan Xu
- Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.
| | - Li-Yu Ge
- Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.
| | - Ze-Hu Liu
- Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.
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Yao QH, Zhi HL, Xia XJ, Liu ZH. Primary cutaneous infections with non-tuberculous mycobacteria: a report of 6 cases. BMC Infect Dis 2024; 24:1231. [PMID: 39488697 PMCID: PMC11531148 DOI: 10.1186/s12879-024-10134-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Accepted: 10/28/2024] [Indexed: 11/04/2024] Open
Abstract
BACKGROUND The incidence of non-tuberculous mycobacterium infection has shown a gradual increasing trend in recent years, among which cutaneous manifestations as an important aspect. This study aimed to describe the clinical features and microbiological findings in 6 cases of primary cutaneous nontuberculous mycobacterium infection. METHODS In this retrospective study from June 2021 to June 2022, the clinical data and microbiological results of six cases diagnosed with primary cutaneous non-tuberculous mycobacterium infection in department of dermatology, Hangzhou Third People's Hospital were analyzed. RESULTS All six cases were primary cutaneous non-tuberculous mycobacterium infections, four of which had a history of trauma or exposure, and two had an underlying disease that could lead to compromised immunity. All patients presented with erythema nodular skin lesions, four on the upper or lower extremities, one on the face, and one on the right hip. The histopathological findings of five patients who underwent biopsy were granulomatous inflammatory changes with mixed infiltration. Laboratory cultures using tissue or tissue fluid were all successful, including four Mycobacterium marinum, one Mycobacterium abscessus, and one Mycobacterium avium. Metagenomics next-generation sequencing detected results consistent with culture colonies in only two cases. With the exception of case 4, all patients responded well to oral medication, with a course of treatment ranging from 4 months to 1 year, and the prognosis was good. CONCLUSIONS The clinical features of primary cutaneous non-tuberculous mycobacterium infection are often lacking in specificity, and the identification of related strains is difficult for a variety of reasons. Although the results of metagenomics next-generation sequencing are useful for pathogen spectrum identification, its diagnostic value should be carefully reevaluated under certain circumstances. Patients with suspected triggers who do not respond well to conventional treatments should be suspected as atypical infection and potential immunosuppression. If diagnosed and treated promptly, the prognosis of primary cutaneous non-tuberculous mycobacterium infection is generally good.
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Affiliation(s)
- Qi-Hao Yao
- Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China
- Zhejiang University School of Medicine, Hangzhou, China
| | - Hui-Lin Zhi
- Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China
| | - Xiu-Jiao Xia
- Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China
| | - Ze-Hu Liu
- Department of Dermatology, Hangzhou Third People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
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Wu KH, Wu PH, Wang HS, Shiau HM, Hsu YS, Lee CY, Lin YT, Hsiao CT, Lin LC, Chang CP, Chang PJ. Biochemical analysis of soft tissue infectious fluids and its diagnostic value in necrotizing soft tissue infections: a 5-year cohort study. Crit Care 2024; 28:354. [PMID: 39487543 PMCID: PMC11531168 DOI: 10.1186/s13054-024-05146-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Accepted: 10/24/2024] [Indexed: 11/04/2024] Open
Abstract
BACKGROUND Necrotizing soft tissue infections (NSTI) are rapidly progressing and life-threatening conditions that require prompt diagnosis. However, differentiating NSTI from other non-necrotizing skin and soft tissue infections (SSTIs) remains challenging. We aimed to evaluate the diagnostic value of the biochemical analysis of soft tissue infectious fluid in distinguishing NSTIs from non-necrotizing SSTIs. METHODS This cohort study prospectively enrolled adult patients between May 2023 and April 2024, and retrospectively included patients from April 2019 to April 2023. Patients with a clinical suspicion of NSTI in the limbs who underwent successful ultrasound-guided aspiration to obtain soft tissue infectious fluid for biochemical analysis were evaluated and classified into the NSTI and non-necrotizing SSTI groups based on their final discharge diagnosis. Common extravascular body fluid (EBF) criteria were applied. RESULTS Of the 72 patients who met the inclusion criteria, 10 patients with abscesses identified via ultrasound-guided aspiration were excluded. Based on discharge diagnoses, 39 and 23 patients were classified into the NSTI and non-necrotizing SSTI groups, respectively. Biochemical analysis revealed significantly higher albumin, lactate, lactate dehydrogenase (LDH), and total protein levels in the NSTI group than in the non-necrotizing SSTI group, and the NSTI group had significantly lower glucose levels and pH in soft tissue fluids. In the biochemical analysis, LDH demonstrated outstanding discrimination (area under the curve (AUC) = 0.955; p < 0.001) among the biochemical markers. Albumin (AUC = 0.884; p < 0.001), lactate (AUC = 0.891; p < 0.001), and total protein (AUC = 0.883; p < 0.001) levels also showed excellent discrimination. Glucose level (AUC = 0.774; p < 0.001) and pH (AUC = 0.780; p < 0.001) showed acceptable discrimination. When the EBF criteria were evaluated, the total scores of Light's criteria (AUC = 0.925; p < 0.001), fluid-to-serum LDH ratio (AUC = 0.929; p < 0.001), and fluid-to-serum total protein ratio (AUC = 0.927; p < 0.001) demonstrated outstanding discrimination. CONCLUSION Biochemical analysis and EBF criteria demonstrated diagnostic performances ranging from acceptable to outstanding for NSTI when analyzing soft tissue infectious fluid. These findings provide valuable diagnostic insights into the recognition of NSTI. Further research is required to validate these findings.
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Affiliation(s)
- Kai-Hsiang Wu
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
- Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi, 613, Taiwan
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
| | - Po-Han Wu
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
| | - Hung-Sheng Wang
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
| | - Hsiu-Mei Shiau
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
| | - Yung-Sung Hsu
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
| | - Chih-Yi Lee
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
| | - Yin-Ting Lin
- Division of Infectious Diseases, Department of Internal Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
| | - Cheng-Ting Hsiao
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
| | - Leng-Chieh Lin
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan
| | - Chia-Peng Chang
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan.
- Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi, 613, Taiwan.
| | - Pey-Jium Chang
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan.
- Department of Nephrology, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan.
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Liu R, Luo Z, Dai C, Wei Y, Yan S, Kuang X, Qi K, Fu A, Li Y, Fu S, Ma Z, Dai W, Xiao X, Wu Q, Zhou H, Rao Y, Yuan J, Shi T, Deng Z, Chen C, Liu T. Corynebacterium parakroppenstedtii secretes a novel glycolipid to promote the development of granulomatous lobular mastitis. Signal Transduct Target Ther 2024; 9:292. [PMID: 39428541 PMCID: PMC11491465 DOI: 10.1038/s41392-024-01984-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 09/05/2024] [Accepted: 09/18/2024] [Indexed: 10/22/2024] Open
Abstract
Granulomatous lobular mastitis (GLM) is a chronic idiopathic granulomatous mastitis of the mammary gland characterized by significant pain and a high propensity for recurrence, the incidence rate has gradually increased, and has become a serious breast disease that should not be ignored. GLM is highly suspected relative to microbial infections, especially those of Corynebacterium species; however, the mechanisms involved are unclear, and prevention and treatment are difficult. In this study, we demonstrated the pathogenicity of Corynebacterium parakroppenstedtii in GLM using Koch's postulates. Based on the drug sensitization results of C. parakroppenstedtii, and utilizing a retrospective study in conjunction with a comprehensive literature review, we suggested an efficacious, targeted antibiotic treatment strategy for GLM. Subsequently, we identified the pathogenic factor as a new type of glycolipid (named corynekropbactins) secreted by C. parakroppenstedtii. Corynekropbactins may chelate iron, cause the death of mammary cells and other mammary -gland-colonizing bacteria, and increase the levels of inflammatory cytokines. We further analyzed the prevalence of C. parakroppenstedtii infection in patients with GLM. Finally, we suggested that the lipophilicity of C. parakroppenstedtii may be associated with its infection route and proposed a possible model for the development of GLM. This research holds significant implications for the clinical diagnosis and therapeutic management of GLM, offering new insights into targeted treatment approaches.
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Affiliation(s)
- Ran Liu
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 200240, Shanghai, China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
| | - Zixuan Luo
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
| | - Chong Dai
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, 430072, Wuhan, China
| | - Yuchen Wei
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Shuqing Yan
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, 430072, Wuhan, China
| | - Xinwen Kuang
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
| | - Kuan Qi
- Zhongnan Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
| | - Aisi Fu
- Dgensee Co., Ltd, 430073, Wuhan, China
| | - Yinxin Li
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
| | - Shuai Fu
- Hesheng Tech, Co., Ltd, 430073, Wuhan, China
| | - Zhengning Ma
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, 430072, Wuhan, China
| | - Wen Dai
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
| | - Xiao Xiao
- Zhongnan Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
| | - Qing Wu
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
| | - Haokui Zhou
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
| | - Yan Rao
- Animal Biosafety Level III Laboratory at the Center for Animal Experiment, Wuhan University School of Medicine, Wuhan University, 430071, Wuhan, China
| | - Jingping Yuan
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China
| | - Ting Shi
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 200240, Shanghai, China
| | - Zixin Deng
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 200240, Shanghai, China.
| | - Chuang Chen
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China.
| | - Tiangang Liu
- Renmin Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China.
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 200240, Shanghai, China.
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, 430072, Wuhan, China.
- Zhongnan Hospital of Wuhan University, Wuhan University, 430071, Wuhan, China.
- Hesheng Tech, Co., Ltd, 430073, Wuhan, China.
- TaiKang Center for Life and Medical Sciences, Wuhan University, 430072, Wuhan, China.
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Liu H, Ran Q, Ma J, Zhang J, Tan N, Xi L, Li X, Zhang J, Lu S. Retrospective clinical and microbiologic analysis of metagenomic next-generation sequencing in the microbiological diagnosis of cutaneous infectious granulomas. Ann Clin Microbiol Antimicrob 2024; 23:84. [PMID: 39267031 PMCID: PMC11395180 DOI: 10.1186/s12941-024-00744-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 09/05/2024] [Indexed: 09/14/2024] Open
Abstract
BACKGROUND Cutaneous infectious granulomas (CIG) are localized and chronic skin infection caused by a variety of pathogens such as protozoans, bacteria, worms, viruses and fungi. The diagnosis of CIG is difficult because microbiological examination shows low sensitivity and the histomorphological findings of CIG caused by different pathogens are commonly difficult to be distinguished. OBJECTIVE The objective of this study is to explore the application of mNGS in tissue sample testing for CIG cases, and to compare mNGS with traditional microbiological methods by evaluating sensitivity and specificity. METHODS We conducted a retrospective study at the Department of Dermatology of Sun Yat-sen Memorial Hospital, Sun Yat-sen University from January 1st, 2020, to May 31st, 2024. Specimens from CIG patients with a clinical presentation of cutaneous infection that was supported by histological examination were retrospectively enrolled. Specimens were delivered to be tested for microbiological examinations and mNGS. RESULTS Our data show that mNGS detected Non-tuberculosis mycobacteria, Mycobacterium tuberculosis, fungi and bacteria in CIG. Compared to culture, mNGS showed a higher positive rate (80.77% vs. 57.7%) with high sensitivity rate (100%) and negative predictive value (100%). In addition, mNGS can detect more pathogens in one sample and can be used to detect variable samples including the samples of paraffin-embedded tissue with shorter detective time. Of the 21 patients who showed clinical improvement within a 30-day follow-up, eighteen had their treatments adjusted, including fifteen who continued treatment based on the results of mNGS. CONCLUSIONS mNGS could provide a potentially rapid and effective alternative detection method for diagnosis of cutaneous infectious granulomas and mNGS results may affect the clinical prognosis resulting from enabling the patients to initiate timely treatment.
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Affiliation(s)
- Hsingmei Liu
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China
| | - Qiao Ran
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China
- The Third People's Hospital of Zhuhai, Hezheng Road, Xiangzhou District, Zhuhai City, 519075, Guangdong, China
| | - Jianchi Ma
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China
| | - Jing Zhang
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China
| | - Ni Tan
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China
- Cellular and Molecular Diagnostics Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, Guangdong, China
| | - Liyan Xi
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China
| | - Xiqing Li
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China
| | - Junmin Zhang
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China
| | - Sha Lu
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
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8
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Li L, Zhang H, Liu C, Wan L, Liu M, Li R, Liu H, Yin J, Shang M, Luo Y, Wang M, Wu X. The bacterial and fungal profiles of patients hospitalized with non-COVID-19 lower respiratory tract infections in Wuhan, China, 2019-2021. J Appl Microbiol 2024; 135:lxae150. [PMID: 38982332 DOI: 10.1093/jambio/lxae150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/07/2024] [Accepted: 07/05/2024] [Indexed: 07/11/2024]
Abstract
AIMS A severe lockdown occurred in Wuhan during the COVID-19 pandemic, followed by a remission phase in the pandemic's aftermath. This study analyzed the bacterial and fungal profiles of respiratory pathogens in patients hospitalized with non-COVID-19 lower respiratory tract infections (LRTIs) during this period to determine the pathogen profile distributions in different age groups and hospital departments in Wuhan. METHODS AND RESULTS We collected reports of pathogen testing in the medical records of patients hospitalized with non-COVID-19 LRTI between 2019 and 2021. These cases were tested for bacterial and fungal pathogens using 16S and internal transcribed spacer sequencing methods on bronchoalveolar lavage fluid samples. The study included 1368 cases. The bacteria most commonly identified were Streptococcus pneumoniae (12.50%) and Mycoplasma pneumoniae (8.33%). The most commonly identified fungi were Aspergillus fumigatus (2.49%) and Pneumocystis jirovecii (1.75%). Compared to 2019, the S. pneumoniae detection rates increased significantly in 2021, and those of M. pneumoniae decreased. Streptococcus pneumoniae was detected mainly in children. The detection rates of almost all fungi were greater in the respiratory Intensive Care Unit compared to respiratory medicine. Streptococcus pneumoniae and M. pneumoniae were detected more frequently in the pediatric department. CONCLUSIONS Before and after the COVID-19 outbreak, a change in the common pathogen spectrum was detected in patients with non-COVID-19 in Wuhan, with the greatest change occurring among children. The major pathogens varied by the patient's age and the hospital department.
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Affiliation(s)
- Liangyu Li
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Haiyue Zhang
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Chan Liu
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine,Tongji University, Shanghai, 200433, China
- Institute of Respiratory Medicine, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Lu Wan
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Mengling Liu
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Ruiyun Li
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Hailing Liu
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Jing Yin
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Min Shang
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Yuchuan Luo
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Ming Wang
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
| | - Xiaojun Wu
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China
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9
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Koutsoumanis K, Allende A, Alvarez‐Ordóñez A, Bolton D, Bover‐Cid S, Chemaly M, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Nonno R, Peixe L, Ru G, Simmons M, Skandamis P, Baker‐Austin C, Hervio‐Heath D, Martinez‐Urtaza J, Caro ES, Strauch E, Thébault A, Guerra B, Messens W, Simon AC, Barcia‐Cruz R, Suffredini E. Public health aspects of Vibrio spp. related to the consumption of seafood in the EU. EFSA J 2024; 22:e8896. [PMID: 39045511 PMCID: PMC11263920 DOI: 10.2903/j.efsa.2024.8896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2024] Open
Abstract
Vibrio parahaemolyticus, Vibrio vulnificus and non-O1/non-O139 Vibrio cholerae are the Vibrio spp. of highest relevance for public health in the EU through seafood consumption. Infection with V. parahaemolyticus is associated with the haemolysins thermostable direct haemolysin (TDH) and TDH-related haemolysin (TRH) and mainly leads to acute gastroenteritis. V. vulnificus infections can lead to sepsis and death in susceptible individuals. V. cholerae non-O1/non-O139 can cause mild gastroenteritis or lead to severe infections, including sepsis, in susceptible individuals. The pooled prevalence estimate in seafood is 19.6% (95% CI 13.7-27.4), 6.1% (95% CI 3.0-11.8) and 4.1% (95% CI 2.4-6.9) for V. parahaemolyticus, V. vulnificus and non-choleragenic V. cholerae, respectively. Approximately one out of five V. parahaemolyticus-positive samples contain pathogenic strains. A large spectrum of antimicrobial resistances, some of which are intrinsic, has been found in vibrios isolated from seafood or food-borne infections in Europe. Genes conferring resistance to medically important antimicrobials and associated with mobile genetic elements are increasingly detected in vibrios. Temperature and salinity are the most relevant drivers for Vibrio abundance in the aquatic environment. It is anticipated that the occurrence and levels of the relevant Vibrio spp. in seafood will increase in response to coastal warming and extreme weather events, especially in low-salinity/brackish waters. While some measures, like high-pressure processing, irradiation or depuration reduce the levels of Vibrio spp. in seafood, maintaining the cold chain is important to prevent their growth. Available risk assessments addressed V. parahaemolyticus in various types of seafood and V. vulnificus in raw oysters and octopus. A quantitative microbiological risk assessment relevant in an EU context would be V. parahaemolyticus in bivalve molluscs (oysters), evaluating the effect of mitigations, especially in a climate change scenario. Knowledge gaps related to Vibrio spp. in seafood and aquatic environments are identified and future research needs are prioritised.
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Spatz S, Afonso CL. Non-Targeted RNA Sequencing: Towards the Development of Universal Clinical Diagnosis Methods for Human and Veterinary Infectious Diseases. Vet Sci 2024; 11:239. [PMID: 38921986 PMCID: PMC11209166 DOI: 10.3390/vetsci11060239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 06/27/2024] Open
Abstract
Metagenomics offers the potential to replace and simplify classical methods used in the clinical diagnosis of human and veterinary infectious diseases. Metagenomics boasts a high pathogen discovery rate and high specificity, advantages absent in most classical approaches. However, its widespread adoption in clinical settings is still pending, with a slow transition from research to routine use. While longer turnaround times and higher costs were once concerns, these issues are currently being addressed by automation, better chemistries, improved sequencing platforms, better databases, and automated bioinformatics analysis. However, many technical options and steps, each producing highly variable outcomes, have reduced the technology's operational value, discouraging its implementation in diagnostic labs. We present a case for utilizing non-targeted RNA sequencing (NT-RNA-seq) as an ideal metagenomics method for the detection of infectious disease-causing agents in humans and animals. Additionally, to create operational value, we propose to identify best practices for the "core" of steps that are invariably shared among many human and veterinary protocols. Reference materials, sequencing procedures, and bioinformatics standards should accelerate the validation processes necessary for the widespread adoption of this technology. Best practices could be determined through "implementation research" by a consortium of interested institutions working on common samples.
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Affiliation(s)
- Stephen Spatz
- Southeast Poultry Research Laboratory, Agricultural Research Service, United States Department of Agriculture, 934 College Station Road, Athens, GA 30605, USA;
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Li P, Qian Z, Tao Y. Application of metagenomic next-generation sequencing in the diagnosis of Bartonella neuroretinitis: a case report and literature review. J Ophthalmic Inflamm Infect 2024; 14:17. [PMID: 38637335 PMCID: PMC11026355 DOI: 10.1186/s12348-024-00387-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 01/13/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Cat-scratch disease (CSD) is caused by Bartonella henselae infection. In atypical cases of CSD, pathogen determination is challenging. We report a case of Bartonella neuroretinitis with neither a clear history of scratches nor typical general symptoms. The diagnosis was made using metagenomic next-generation sequencing (mNGS), a high-throughput sequencing technology. CASE PRESENTATION A female patient presented to the ophthalmologist with complaint of blurred vision in her right eye. Although with history of raising a cat, she reported no clear history of scratches or typical general symptoms, except a fever of unknown origin which resolved spontaneously. The best corrected visual acuity (BCVA) of the right eye was count fingers. Fundus examination showed optic disc oedema, macular exudates and inferior exudative retinal detachment. Laboratory examination results showed increased value of serum C-reactive protein and erythrocyte sedimentation rate. Ocular involvement of toxoplasmosis, syphilis and tuberculosis were excluded. To identify the possible causative pathogen of the disease, mNGS of aqueous humour sample was performed and 521 reads of B. henselae were identified. Serological test results further showed a positive immunoglobulin G (IgG) titre of 1:64. Taking the contact history, clinical manifestations, mNGS and serological results into consideration, the diagnosis of Bartonella neuroretinitis (ocular CSD) was made. After appropriate treatment, the BCVA of the right eye improved to 20/25 in the last follow-up. Fundus examination showed a normal optic disc and macula, and the exudates had reduced. CONCLUSION mNGS, a fast and unbiased method, can be used to detect B. henselae (if present) in intraocular fluid samples.; however, the results should be interpreted together with the clinical symptoms and other auxiliary test results.
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Affiliation(s)
- Pengcheng Li
- Department of Ophthalmology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, China.
| | - Zhuyun Qian
- Beijing GIANTMED Medical Diagnostics Lab, Beijing, China
- Department of Ophthalmology, Beijing Chaoyang Hospital, Capital Medical University, No. 8, South Road of Worker's Stadium Chaoyang District, Beijing, 100020, China
| | - Yong Tao
- Department of Ophthalmology, Beijing Chaoyang Hospital, Capital Medical University, No. 8, South Road of Worker's Stadium Chaoyang District, Beijing, 100020, China.
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Li H, Lu Y, Tian G, Wu Y, Chen T, Zhang J, Hu N, Wang X, Wang Y, Gao L, Yan J, Zhou L, Shi Q. A regimen based on the combination of trimethoprim/sulfamethoxazole with caspofungin and corticosteroids as a first-line therapy for patients with severe non-HIV-related pneumocystis jirovecii pneumonia: a retrospective study in a tertiary hospital. BMC Infect Dis 2024; 24:152. [PMID: 38297200 PMCID: PMC10829312 DOI: 10.1186/s12879-024-09031-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 01/18/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Pneumocystis jirovecii pneumonia (PJP) is a life-threatening and severe disease in immunocompromised hosts. A synergistic regimen based on the combination of sulfamethoxazole-trimethoprim (SMX-TMP) with caspofungin and glucocorticosteroids (GCSs) may be a potential first-line therapy for PJP. Therefore, it is important to explore the efficacy and safety of this synergistic therapy for treating non-HIV-related PJP patients. METHODS We retrospectively analysed the data of 38 patients with non-HIV-related PJP at the First Affiliated Hospital of Xi'an Jiaotong University. Patients were divided into two groups: the synergistic therapy group (ST group, n = 20) and the monotherapy group (MT group, n = 18). All patients were from the ICU and were diagnosed with severe PJP. In the ST group, all patients were treated with SMX-TMP (TMP 15-20 mg/kg per day) combined with caspofungin (70 mg as the loading dose and 50 mg/day as the maintenance dose) and a GCS (methylprednisolone 40-80 mg/day). Patients in the MT group were treated only with SMX-TMP (TMP 15-20 mg/kg per day). The clinical response, adverse events and mortality were compared between the two groups. RESULTS The percentage of patients with a positive clinical response in the ST group was significantly greater than that in the MT group (100.00% vs. 66.70%, P = 0.005). The incidence of adverse events in the MT group was greater than that in the ST group (50.00% vs. 15.00%, P = 0.022). Furthermore, the dose of TMP and duration of fever in the ST group were markedly lower than those in the MT group (15.71 mg/kg/day vs. 18.35 mg/kg/day (P = 0.001) and 7.00 days vs. 11.50 days (P = 0.029), respectively). However, there were no significant differences in all-cause mortality or duration of hospital stay between the MT group and the ST group. CONCLUSIONS Compared with SMZ/TMP monotherapy, synergistic therapy (SMZ-TMP combined with caspofungin and a GCS) for the treatment of non-HIV-related PJP can increase the clinical response rate, decrease the incidence of adverse events and shorten the duration of fever. These results indicate that synergistic therapy is effective and safe for treating severe non-HIV-related PJP.
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Affiliation(s)
- Hao Li
- Department of Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Sepsis in Critical Care Medicine, Xi'an, Shaanxi, China
| | - Yihe Lu
- Department of Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Sepsis in Critical Care Medicine, Xi'an, Shaanxi, China
| | - Guoxin Tian
- Department of Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Sepsis in Critical Care Medicine, Xi'an, Shaanxi, China
| | - Yongxing Wu
- Department of Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Sepsis in Critical Care Medicine, Xi'an, Shaanxi, China
| | - Tianjun Chen
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
| | - Jiangwei Zhang
- Department of Kideny Transplant, Hospital of Nephrology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
| | - Nan Hu
- Department of Rheumatology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
| | - Xiaoning Wang
- Department of Hematology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
| | - Yang Wang
- Department of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
| | - Lan Gao
- Department of Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Sepsis in Critical Care Medicine, Xi'an, Shaanxi, China
| | - Jinqi Yan
- Department of Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Sepsis in Critical Care Medicine, Xi'an, Shaanxi, China
| | - Linjing Zhou
- Department of Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Sepsis in Critical Care Medicine, Xi'an, Shaanxi, China
| | - Qindong Shi
- Department of Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, China.
- Shaanxi Provincial Key Laboratory of Sepsis in Critical Care Medicine, Xi'an, Shaanxi, China.
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Qu H, Wang Y, Diao H, Ren G, Wang Z, Shang J, Shangguan L, Wang H. Clinical characteristics of 15 patients with listeria meningitis in adult. Heliyon 2024; 10:e23755. [PMID: 38223708 PMCID: PMC10784154 DOI: 10.1016/j.heliyon.2023.e23755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 11/01/2023] [Accepted: 12/12/2023] [Indexed: 01/16/2024] Open
Abstract
Objective To report and analyze the clinical characteristics of 15 patients with Listeria meningitis in adult. Methods We reviewed the medical records of 15 patients with Listeria meningitis who were admitted to Shanxi Bethune Hospital between January 2017 and January 2023. Results The clinical manifestations was primarily characterized by fever, altered mental status, headache, neck stiffness, and vomiting. Blood or cerebrospinal fluid (CSF) cultures were performed in 15 cases, and pathogens were detected in 11 of them. Metagenomic next-generation sequencing (mNGS) detected pathogens in 10 cases, with four being negative by conventional methods and six being positive through traditional tests. The laboratory blood results presented leukocytosis. The CSF analysis upon admission showed elevated levels of white blood cells and proteins, as well as decreased chloride and glucose concentration. The brain computed tomography (CT) revealed ventricular enlargement in 3 patients. The brain magnetic resonance imaging (MRI) showed abnormalities in multiple areas of the brain. Despite 3 patients with decompensated hydrocephalus underwent lateral ventricle puncture and drainage,their neurological deterioration were increasingly deteriorating.7 patients were treated by mechanical ventilation due to respiratory insufficiency. After 3 months, there were 9 cases with excellent outcomes(modified Rankin Scale score of 0-2),2 cases with favorable outcomes(score of 3-5), and 4 deaths(score of 6). Conclusions This thesis found that the detection rate of Listeria monocytogenes has been on a rise over the past six years in our department, ranking second only to Streptococcus pneumoniae. Additionally, the detection rate achieved by mNGS surpasses that of other conventional methods. Among the patient cohort, 11 had underlying diseases such as systemic lupus erythematosus, tuberculosis, diabetes mellitus, pituitary neoplasms, leukemia and other related illnesses. Once listeriosis is early identified, the adequate antibiotic therapy should be promptly introduced in the course of empirical treatment.
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Affiliation(s)
- Haixia Qu
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
| | - Yanhong Wang
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
| | - Haiyan Diao
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
| | - Gang Ren
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
| | - Zhijun Wang
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
| | - Jing Shang
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
| | - Lijuan Shangguan
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
| | - Hailong Wang
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
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Li XX, Niu CZ, Zhao YC, Fu GW, Zhao H, Huang MJ, Li J. Clinical application of metagenomic next-generation sequencing in non-immunocompromised patients with severe pneumonia supported by veno-venous extracorporeal membrane oxygenation. Front Cell Infect Microbiol 2023; 13:1269853. [PMID: 37900317 PMCID: PMC10613042 DOI: 10.3389/fcimb.2023.1269853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/20/2023] [Indexed: 10/31/2023] Open
Abstract
Objectives This study aims to explore the pathogen-detected effect of mNGS technology and its clinical application in non-immunocompromised patients with severe pneumonia supported by vv-ECMO. Methods A retrospective analysis was conducted on a cohort of 50 non-immunocompromised patients who received vv-ECMO support for severe pneumonia between January 2016 and December 2022. These patients were divided into two groups based on their discharge outcomes: the deterioration group (Group D), which included 31 cases, and the improvement group (Group I), consisting of 19 cases. Baseline characteristics and clinical data were collected and analyzed. Results Among the 50 patients enrolled, Group D exhibited a higher prevalence of male patients (80.6% vs. 52.6%, p < 0.05), more smokers (54.8% vs. 21.1%, p < 0.05), and were older than those in Group I (55.16 ± 16.34 years vs. 42.32 ± 19.65 years, p < 0.05). Out of the 64 samples subjected to mNGS detection, 55 (85.9%) yielded positive results, with a positivity rate of 83.7% (36/43) in Group D and 90.5% (19/21) in Group I. By contrast, the positive rate through traditional culture stood at 64.9% (74/114). Among the 54 samples that underwent both culture and mNGS testing, 23 (42.6%) displayed consistent pathogen identification, 13 (24.1%) exhibited partial consistency, and 18 (33.3%) showed complete inconsistency. Among the last cases with complete inconsistency, 14 (77.8%) were culture-negative, while two (11.1%) were mNGS-negative, and the remaining two (11.1%) presented mismatches. Remarkably, mNGS surpassed traditional culture in pathogen identification (65 strains vs. 23 strains). Within these 65 strains, 56 were found in Group D, 26 in Group I, and 17 were overlapping strains. Interestingly, a diverse array of G+ bacteria, fungi, viruses, and special pathogens were exclusive to Group D. Furthermore, Acinetobacter baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae were more prevalent in Group D compared to Group I. Importantly, mNGS prompted antibiotic treatment adjustments in 26 patients (52.0%). Conclusions Compared with the conventional culture, mNGS demonstrated a higher positive rate, and emerges as a promising method for identifying mixed pathogens in non-immunodeficient patients with severe pneumonia supported by vv-ECMO. However, it is crucial to combine the interpretation of mNGS data with clinical information and traditional culture results for a comprehensive assessment.
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Affiliation(s)
- Xing-Xing Li
- Department of Extracorporeal Life Support Center, Department of Cardiac Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Cheng-Zhi Niu
- Information Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yang-Chao Zhao
- Department of Extracorporeal Life Support Center, Department of Cardiac Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Guo-Wei Fu
- Department of Extracorporeal Life Support Center, Department of Cardiac Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Zhao
- Department of Extracorporeal Life Support Center, Department of Cardiac Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ming-Jun Huang
- Department of Extracorporeal Life Support Center, Department of Cardiac Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jun Li
- Department of Extracorporeal Life Support Center, Department of Cardiac Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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[Chinese expert consensus on the application of metagenomic next-generation sequencing technology in the diagnosis of pathogens in hematological patients (2023)]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2023; 44:617-623. [PMID: 37803833 PMCID: PMC10520238 DOI: 10.3760/cma.j.issn.0253-2727.2023.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Indexed: 10/08/2023]
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钟 珊, 杨 明. [Value of metagenomic next-generation sequencing in children with hematological malignancies complicated with infections]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2023; 25:718-725. [PMID: 37529954 PMCID: PMC10414172 DOI: 10.7499/j.issn.1008-8830.2212059] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 04/02/2023] [Indexed: 08/03/2023]
Abstract
OBJECTIVES To explore the value of metagenomic next-generation sequencing (mNGS) in the pathogen identification in children with hematological malignancies complicated with infections. METHODS A retrospective analysis was conducted on clinical data and pathogenic test results of 43 children with hematological malignancies who underwent microbial culture and mNGS due to infections in the Third Xiangya Hospital of Central South University between June 2020 and July 2022. Differences in detection rates and characteristics of pathogenic microorganisms detected by mNGS and microbial culture were compared. RESULTS A total of 54 specimens were examined, and the overall detection rate of pathogen by mNGS (80%, 43/54) was significantly higher than that by microbial culture (30%, 16/54) (P<0.001). The most commonly detected infection type by mNGS was viral infection, followed by fungal infection combined viral infection, while that by microbial culture was bacterial infection, followed by fungal infection. The detection rate of fungi by mNGS (33%, 18/54) was higher than that by microbial culture (6%, 3/54) (P<0.001). The detection rate of two or more pathogenic microorganisms by mNGS was higher at 48% compared to microbial culture at 9% (P<0.05). The detection rate of two or more types of pathogenic microorganisms by mNGS was also significantly higher at 33% compared to microbial culture at 2% (P<0.05). The most commonly detected bacteria and fungi by mNGS were Pseudomonas aeruginosa and Candida tropicalis, respectively, in peripheral blood, while Streptococcus pneumoniae and Pneumocystis jirovecii were most commonly detected in bronchoalveolar lavage fluid. Treatment adjustments based on mNGS results were beneficial for 35% (15/43) of the cases. CONCLUSIONS mNGS has a higher detection rate than microbial culture and has obvious advantages in diagnosing mixed and fungal infections, making it a useful supplementary diagnostic method to microbial culture.
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Li Y, Xiong YZ, Fan HH, Jing LP, Li JP, Lin QS, Xu CH, Li Y, Ye L, Jiao M, Yang Y, Li Y, Yang WR, Peng GX, Zhou K, Zhao X, Zhang L, Zhang FK. [Metagenomic next-generation sequencing of plasma for the identification of bloodstream infectious pathogens in severe aplastic anemia]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2023; 44:236-241. [PMID: 37356986 PMCID: PMC10119722 DOI: 10.3760/cma.j.issn.0253-2727.2023.03.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Indexed: 06/27/2023]
Abstract
Objective: To analyze the diagnostic value of cell-free plasma metagenomic next-generation sequencing (mNGS) pathogen identification for severe aplastic anemia (SAA) bloodstream infection. Methods: From February 2021 to February 2022, mNGS and conventional detection methods (blood culture, etc.) were used to detect 33 samples from 29 consecutive AA patients admitted to the Anemia Diagnosis and Treatment Center of the Hematology Hospital of the Chinese Academy of Medical Sciences to assess the diagnostic consistency of mNGS and conventional detection, as well as the impact on clinical treatment benefits and clinical accuracy. Results: ①Among the 33 samples evaluated by mNGS and conventional detection methods, 25 cases (75.76%) carried potential pathogenic microorganisms. A total of 72 pathogenic microorganisms were identified from all cases, of which 65 (90.28%) were detected only by mNGS. ②All 33 cases were evaluated for diagnostic consistency, of which 2 cases (6.06%) were Composite, 18 cases (54.55%) were mNGS only, 2 cases (6.06%) were Conventional method only, 1 case (3.03%) was both common compliances (mNGS/Conventional testing) , and 10 cases (30.3%) were completely non-conforming (None) . ③All 33 cases were evaluated for clinical treatment benefit. Among them, 8 cases (24.24%) received Initiation of targeted treatment, 1 case (3.03%) received Treatment de-escalation, 13 cases (39.39%) received Confirmation, and the remaining 11 cases (33.33%) received No clinical benefit. ④ The sensitivity of 80.77%, specificity of 70.00%, positive predictive value of 63.64%, negative predictive value of 84.85%, positive likelihood ratio of 2.692, and negative likelihood ratio of 0.275 distinguished mNGS from conventional detection methods (21/12 vs 5/28, P<0.001) . Conclusion: mNGS can not only contribute to accurately diagnosing bloodstream infection in patients with aplastic anemia, but can also help to guide accurate anti-infection treatment, and the clinical accuracy is high.
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Affiliation(s)
- Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Q S Lin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - C H Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Microbiology Laboratory Tianjin Union Precision Medical Diagnostic Co., Ltd, Tianjin 301617, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - M Jiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - G X Peng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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18
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Microbiology of Facial Skin Infections-Strains, Susceptibility, and Therapeutic Consequences. J Oral Maxillofac Surg 2023; 81:641-647. [PMID: 36682386 DOI: 10.1016/j.joms.2022.12.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 12/30/2022] [Accepted: 12/30/2022] [Indexed: 01/21/2023]
Abstract
BACKGROUND Skin and soft tissue infections (SSTIs) are common conditions with severe and potentially life-threatening outcomes. However, the use of antibiotics to treat these infections is controversial. PURPOSE This study was to identify the microorganisms responsible for facial SSTIs, their antibiotic sensitivities, and the therapeutic outcomes of treatment. STUDY DESIGN, SETTING, AND SAMPLE This was a retrospective, observational cohort study conducted at a single oral and maxillofacial plastic surgery department. The study sample included 103 patients with facial SSTIs (61 men, 42 women) with a mean age of 41.8 years (standard deviation ± 20.4). PREDICTOR/EXPOSURE/INDEPENDENT VARIABLES The predictor variables included patient characteristics, antibiotic use before the clinic visit, and the infection's site and origin. MAIN OUTCOME VARIABLE(S) The primary outcome variable was the presence of antibiotic resistance in the bacterial strains isolated from the infections. METHODS The data were collected by reviewing the results of microbiological swabs and patient records obtained from patients with facial SSTIs. Categorical variables were described using absolute and relative frequencies, and continuous variables were described using mean and standard deviation. The association between antibiotic resistance and the predictor variables was analyzed using Pearson's χ2 test and student's t test. RESULTS The most common cause of SSTI was an infected epidermal cyst (60.1%). Of all the microorganisms identified, 80.6% were Gram-positive, and 55.8% showed antibiotic resistance against one or more of the evaluated antibiotics, including several backup antibiotics. There were no identified risk factors that significantly influenced the probability of resistance, and there were no adverse events observed. CONCLUSION The results of this study suggest that surgery should be the primary approach for treating SSTIs, as antibiotic administration may not be effective due to the unknown susceptibility of the causative strains. Antibiotics should be reserved for severe cases and high-risk patients, and if deemed necessary for SSTI management, a broad-spectrum antibiotic should be administered to cover resistant organisms.
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Meng LN, Li G, Yuan HX, Feng XC, Liu F, Zhang SL. Utility of metagenomics next-generation sequencing in the diagnosis and treatment of severe infectious diseases in the intensive care unit. Technol Health Care 2023; 31:1887-1899. [PMID: 37302051 DOI: 10.3233/thc-220856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
BACKGROUND Metagenomic next-generation sequencing (mNGS) is a new method that combines high-throughput sequencing and bioinformatics analysis. However, it has not become as popular due to the limited testing equipment and high costs and lack of family awareness with not much relevant intensive care unit (ICU) research data. OBJECTIVE To explore the clinical use and value of metagenomics next-generation sequencing (mNGS) in patients with sepsis in the ICU. METHODS We conducted a retrospective analysis of 102 patients with sepsis admitted to the ICU of Peking University International Hospital from January 2018 to January 2022. Based on whether mNGS was performed, the identified patients were divided into the observation group (n= 51) and the control group (n= 51), respectively. Routine laboratory tests, including routine blood test, C-reactive protein, procalcitonin, and culture of suspicious lesion specimens were performed in both groups within 2 hours after admission to the ICU, while mNGS tests were performed in the observation group. Patients in both groups were routinely given initial anti-infective, anti-shock, and organ support treatment. Antibiotic regimens were optimized in a timely manner according to the etiological results. Relevant clinical data were collected. RESULTS The testing cycle of mNGS was shorter than that of the conventional culture (30.79 ± 4.01 h vs. 85.38 ± 9.94 h, P< 0.001), while the positive rate of mNGS was higher than that of the conventional culture (82.35% vs. 45.1%, P< 0.05), with obvious superiority in the detection of viruses and fungus. There were significant differences in the optimal time of antibiotics (48 h vs.100 h) and length of ICU stay (11 d vs. 16 d) between the observation group and control group (P< 0.01) respectively, with no difference in 28-day mortality (33.3% vs. 41.2%, P> 0.05). CONCLUSION mNGS is useful in the detection of sepsis-causing pathogens in the ICU with the advantages of short testing time and high positive rate. There was no difference in the 28-day outcome between the two groups, which may be related to other confounding factors such as small sample size. Additional studies with extended sample size are needed.
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Shi Y, Wu J, Liu T, Li Y, Liu Y, Gu Y, Qi Y. Analysis of Metagenomic Next-Generation Sequencing Results of 25 Pus Samples. Infect Drug Resist 2022; 15:6515-6524. [DOI: 10.2147/idr.s385925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/27/2022] [Indexed: 11/09/2022] Open
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21
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Li M, Yan K, Jia P, Wei E, Wang H. Metagenomic next-generation sequencing may assist diagnosis of cat-scratch disease. Front Cell Infect Microbiol 2022; 12:946849. [PMID: 36189365 PMCID: PMC9524480 DOI: 10.3389/fcimb.2022.946849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/26/2022] [Indexed: 11/28/2022] Open
Abstract
Bartonella henselae, the pathogen that causes cat-scratch disease (CSD), is relatively rare in the clinic. CSD usually causes mild clinical manifestations, which self-heal in a matter of weeks. However, in immunocompromised patients, CSD may cause systemic disorders that can lead to critical illness. Due to the diversity of symptom signs and the lack of a golden standard for diagnosis, identifying atypical CSD in a timely manner presents a challenge. Metagenomic next-generation sequencing (mNGS), is a promising technology that has been widely used in the detection of pathogens in clinical infectious diseases in recent years. mNGS can detect multiple pathogens quickly and accurately from any given source. Here, we present a case of atypical CSD, which was diagnosed using mNGS. The patient manifested a fever of unknown infectious origin, and routine antibiotic treatment was ineffective. mNGS was employed to test the patient’s peripheral blood, which led to the detection of B. henselae. This was rarely seen in previous CSD reports. We surmised that the patient presented with atypical CSD and thus a targeted therapy was recommended. Crucially, the patient recovered rapidly. Based on this case study findings, we recommend that CSD should be included in the differential diagnosis for fever of unknown origin and that mNGS may be helpful in the diagnosis of CSD.
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22
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Liang M, Fan Y, Zhang D, Yang L, Wang X, Wang S, Xu J, Zhang J. Metagenomic next-generation sequencing for accurate diagnosis and management of lower respiratory tract infections. Int J Infect Dis 2022; 122:921-929. [PMID: 35908723 DOI: 10.1016/j.ijid.2022.07.060] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/07/2022] [Accepted: 07/23/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES This study aimed to evaluate the clinical value of metagenomic next-generation sequencing (mNGS) in patients with suspected lower respiratory tract infections (LRTIs). METHODS This retrospective study reviewed patients with suspected LRTIs in Wuhan Union Hospital. Data including demographic, laboratory, and radiological profiles; treatment; and outcomes were recorded and analyzed. RESULTS mNGS identified pathogenic microbes in 100/140 (71.4%) patients, although 135 (96.4%) had received empiric antibiotic treatment before the mNGS tests. Single bacterial infection (35/100, 35%) was the most common type of infection in patients with positive mNGS results, followed by single fungal infection (14/100, 14%), bacterial-viral co-infection (14/100, 14%), single viral infection (12/100, 12%), bacterial-fungal co-infection (9/100, 9%), fungal-viral co-infection (9/100, 9%), and bacterial-fungal-viral co-infection (7/100, 7%). Moreover, compared with culture test, mNGS showed higher sensitivity (63/85, 74.1% vs. 22/85, 25.9% P=0.001) and lower processing time (24 h vs 48 h). Antibiotic treatment was adjusted or confirmed based on the mNGS results in 123 (87.9%) patients, including 5 (3.6%), 33 (23.6%) and 85 (60.7%) patients in whom treatment was downgraded, upgraded and unchanged, respectively, and almost all patients, regardless of escalation, de-escalation, or no change in treatment, showed significant improvement in clinical symptoms and inflammatory indicators. Additionally, 17 (12.1%) patients were referred to Wuhan Pulmonary Hospital for further treatment because of confirmed or suspected tuberculosis. CONCLUSIONS mNGS could be a promising technique for microbiological diagnosis and antibiotic management, potentially improving outcomes of patients.
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Affiliation(s)
- Mengyuan Liang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical Collage, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China
| | - Yamin Fan
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical Collage, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China
| | - Dongmei Zhang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical Collage, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China
| | - Lian Yang
- Department of Radiology, Union Hospital, Tongji Medical Collage, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China
| | - Xiaorong Wang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical Collage, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China
| | - Sufei Wang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical Collage, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China
| | - Juanjuan Xu
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical Collage, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
| | - Jianchu Zhang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical Collage, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
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Yang WT, Chiang I, Tseng CH, Cheng C, Lin JH, Liu PY, Huang YT. Metagenomic Sequencing and Histology on a Chronic Wound Identified Epstein-Barr Virus-Associated Lymphoma. Evol Bioinform Online 2022; 18:11769343221110663. [PMID: 35874624 PMCID: PMC9297456 DOI: 10.1177/11769343221110663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 06/02/2022] [Indexed: 11/22/2022] Open
Abstract
Accurate diagnosis of chronic, non-healing wounds is challenging and time-consuming because it can be caused by a variety of etiologies. This brief report presents an unusual case of a chronic wound lasting for 10 months investigated by deep metagenomic sequencing. Epstein-Barr virus (EBV) was identified in the wound and subsequently validated by in situ hybridization. Histopathologic examination eventually revealed that the non-healing wound was due to an EBV-associated NK/T cell lymphoma. By identifying mutations across the viral genome, the virus was classified as Type I EBV and clustered with others of geographic proximity. Our results suggest that metagenomic shotgun sequencing can not only rapidly and accurately identify the presence of underlying pathogens but also provide strain-level resolution for the surveillance of viral epidemiology.
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Affiliation(s)
- Wan-Ting Yang
- Department of Infectious Diseases, Taichung Veterans General Hospital, Taichung, Taiwan
| | - I Chiang
- Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chien-Hao Tseng
- Department of Infectious Diseases, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chun Cheng
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan
| | - Jyun-Hong Lin
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan
| | - Po-Yu Liu
- Department of Infectious Diseases, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yao-Ting Huang
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan
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Miller S, Chiu C. The Role of Metagenomics and Next-Generation Sequencing in Infectious Disease Diagnosis. Clin Chem 2021; 68:115-124. [PMID: 34969106 DOI: 10.1093/clinchem/hvab173] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/06/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Metagenomic next-generation sequencing (mNGS) for pathogen detection is becoming increasingly available as a method to identify pathogens in cases of suspected infection. mNGS analyzes the nucleic acid content of patient samples with high-throughput sequencing technologies to detect and characterize microorganism DNA and/or RNA. This unbiased approach to organism detection enables diagnosis of a broad spectrum of infection types and can identify more potential pathogens than any single conventional test. This can lead to improved ability to diagnose patients, although there remains concern regarding contamination and detection of nonclinically significant organisms. CONTENT We describe the laboratory approach to mNGS testing and highlight multiple considerations that affect diagnostic performance. We also summarize recent literature investigating the diagnostic performance of mNGS assays for a variety of infection types and recommend further studies to evaluate the improvement in clinical outcomes and cost-effectiveness of mNGS testing. SUMMARY The majority of studies demonstrate that mNGS has sensitivity similar to specific PCR assays and will identify more potential pathogens than conventional methods. While many of these additional organism detections correlate with the expected pathogen spectrum based on patient presentations, there are relatively few formal studies demonstrating whether these are true-positive infections and benefits to clinical outcomes. Reduced specificity due to contamination and clinically nonsignificant organism detections remains a major concern, emphasizing the importance of careful interpretation of the organism pathogenicity and potential association with the clinical syndrome. Further research is needed to determine the possible improvement in clinical outcomes and cost-effectiveness of mNGS testing.
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Affiliation(s)
- Steve Miller
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Charles Chiu
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, USA
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Chen H, Bai X, Gao Y, Liu W, Yao X, Wang J. Profile of Bacteria with ARGs Among Real-World Samples from ICU Admission Patients with Pulmonary Infection Revealed by Metagenomic NGS. Infect Drug Resist 2021; 14:4993-5004. [PMID: 34866919 PMCID: PMC8636693 DOI: 10.2147/idr.s335864] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 11/16/2021] [Indexed: 12/27/2022] Open
Abstract
Background Treatment of pulmonary infections in the intensive care unit (ICU) represents a great challenge, especially infections caused by antibiotic resistance pathogens. A thorough and up-to-date knowledge of the local spectrum of antibiotic resistant bacteria can improve the antibiotic treatment efficiency. In this study, we aimed to reveal the profile of bacteria with antibiotic resistance genes (ARGs) in real-world samples from ICU admission patients with pulmonary infection in Mainland, China, by metagenomic next-generation sequencing (mNGS). Methods A total of 504 different types of clinical samples from 452 ICU admission patients with pulmonary infection were detected by mNGS analysis. Results A total of 485 samples from 434 patients got successful mNGS results. Among 434 patients, one or more bacteria with ARGs were detected in 192 patients (44.24%, 192/434), and ≥2 bacteria with ARGs were detected in 85 (19.59%, 85/434) patients. The predominant detected bacteria were Corynebacterium striatum (C. striatum) (11.76%, 51/434), Acinetobacter baumannii (A. baumannii) (11.52%, 50/434) and Enterococcus faecium (E. faecium) (8.99%, 39/434). ermX conferred resistance to MSLB and cmx to phenicol were the only two ARGs detected in C. striatum; in A. baumannii, most of ARGs were resistance-nodulation-division (RND)-type efflux pumps genes, which conferred resistance to multi-drug; ermB conferred resistance to MSLB and efmA to multi-drug were the predominant ARGs in E. faecium. Bacteria with ARGs were detected in 50% (140/280) bronchoalveolar lavage fluid (BALF) and 50.5% (48/95) sputum samples, which were significantly higher than in blood and cerebrospinal fluid (CSF) samples. Conclusion High level of bacteria with ARGs was observed in clinical samples, especially BALF and sputum samples from ICU admission patients with pulmonary infection in Mainland, China. And C. striatum resistant to MSLB and/or phenicol, multi-drug resistance A. baumannii and E. faecium were the lead bacteria.
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Affiliation(s)
- Huijuan Chen
- Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, People's Republic of China
| | - Xinhua Bai
- Department of Clinical Laboratory, Beijing Capitalbio Medlab, Beijing, People's Republic of China
| | - Yang Gao
- Department of Clinical Laboratory, Beijing Capitalbio Medlab, Beijing, People's Republic of China
| | - Wenxuan Liu
- Department of Clinical Laboratory, Beijing Capitalbio Medlab, Beijing, People's Republic of China
| | - Xuena Yao
- Department of Clinical Laboratory, Beijing Capitalbio Medlab, Beijing, People's Republic of China
| | - Jing Wang
- Department of Clinical Laboratory, Beijing Capitalbio Medlab, Beijing, People's Republic of China
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Cai S, Yang Y, Pan J, Miao Q, Jin W, Ma Y, Zhou C, Gao X, Wang C, Hu B. The clinical value of valve metagenomic next-generation sequencing when applied to the etiological diagnosis of infective endocarditis. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1490. [PMID: 34805352 PMCID: PMC8573444 DOI: 10.21037/atm-21-2488] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/04/2021] [Indexed: 12/22/2022]
Abstract
Background Metagenomic next-generation sequencing (mNGS) is widely applied in the etiological diagnosis of infectious diseases. However, the clinical practice of mNGS in infective endocarditis (IE) is relatively less studied. This research aimed to assess the etiological diagnostic value of valve mNGS in IE. Methods We retrospectively analyzed 49 IE patients who underwent cardiac valve surgery in Zhongshan Hospital, Fudan University, Shanghai from 1 June 2018 to 30 November 2020. Among these IE patients, 28 were culture positive and 21 were culture negative. The culture results of the culture-positive IE patients were set as gold standard to assess the sensitivity and specificity of valve mNGS in the etiological diagnosis of IE. We studied the positive detection rate of pathogens by valve mNGS among the culture-negative IE patients. During the same period, we also collected the resected valves of 8 patients with non-infective valvular diseases for mNGS as negative controls. Results The valve mNGS results of the culture-positive IE patients were the exact same as their culture results. Both the sensitivity and specificity of valve mNGS were 100%. The positive detection rate of pathogens by valve mNGS was 100% among the culture-negative IE patients. The stringent mapped reads number of genera (SMRNG), relative abundance of genera, stringent mapped reads number of species (SMRN), relative abundance of species, and coverage rate of valve mNGS results were significantly higher in culture-positive IE participants than in culture-negative IE participants. The valve mNGS results of the 8 participants with non-infective valvular diseases were all negative. Conclusions Valve mNGS is a promising technology for the etiological diagnosis of IE, especially culture-negative IE, and it may be used to guide precise antibiotic treatment after surgery.
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Affiliation(s)
- Sishi Cai
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ye Yang
- Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jue Pan
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qing Miao
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wenting Jin
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuyan Ma
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chunmei Zhou
- Department of Microbiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaodong Gao
- Department of Hospital Infection Management, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chunsheng Wang
- Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bijie Hu
- Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.,Department of Hospital Infection Management, Zhongshan Hospital, Fudan University, Shanghai, China
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Lian QY, Chen A, Zhang JH, Guan WJ, Xu X, Wei B, Huang DX, He JX, Ju CR. High-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation. BMC Pulm Med 2021; 21:348. [PMID: 34742287 PMCID: PMC8572506 DOI: 10.1186/s12890-021-01723-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 10/31/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND High-throughput next-generation sequencing (HT-NGS) has the potential to detect a large variety of pathogens; however, the application of HT-NGS in lung transplant (LTx) recipients remains limited. We aimed to evaluate the value of HT-NGS for pathogen detection and diagnosis of pulmonary infection during early-stage post-lung transplantation. METHODS In this retrospective study, we enrolled 51 LTx recipients who underwent lung transplantation between January 2020 and December 2020. Bronchoalveolar lavage fluid (BALF) samples were collected for the detection of pathogens using both HT-NGS and conventional microbiological testing. The detection of pathogens and diagnostic performance of HT-NGS were compared with that of conventional methods. RESULTS HT-NGS provided a higher positive rate of pathogen detection than conventional microbiological testing (88.24% vs. 76.47%). The most common bacteria detected via HT-NGS during early-stage post-lung transplantation were Enterococcus, Staphylococcus, Pseudomonas and Klebsiella, while all fungi were Candida and all viruses were Herpesvirus. Uncommon pathogens, including Strongyloides, Legionella, and Mycobacterium abscesses were identified by HT-NGS. The sensitivity of HT-NGS for diagnosing pulmonary infection was significantly higher than that of conventional microbiological testing (97.14% vs. 68.57%; P < 0.001). For three LTx recipients, treatment regimens were adjusted according to the results of HT-NGS, leading to a complete recovery. CONCLUSION HT-NGS is a highly sensitive technique for pathogen detection, which may provide diagnostic advantages, especially in LTx recipients, contributing to the optimization of treatment regimens against pulmonary infection during early-stage post-lung transplantation.
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Affiliation(s)
- Qiao-Yan Lian
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ao Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jian-Heng Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wei-Jie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xin Xu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bing Wei
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Dan-Xia Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jian-Xing He
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Chun-Rong Ju
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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Brumfield KD, Usmani M, Chen KM, Gangwar M, Jutla AS, Huq A, Colwell RR. Environmental parameters associated with incidence and transmission of pathogenic Vibrio spp. Environ Microbiol 2021; 23:7314-7340. [PMID: 34390611 DOI: 10.1111/1462-2920.15716] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 07/27/2021] [Accepted: 08/10/2021] [Indexed: 12/17/2022]
Abstract
Vibrio spp. thrive in warm water and moderate salinity, and they are associated with aquatic invertebrates, notably crustaceans and zooplankton. At least 12 Vibrio spp. are known to cause infection in humans, and Vibrio cholerae is well documented as the etiological agent of pandemic cholera. Pathogenic non-cholera Vibrio spp., e.g., Vibrio parahaemolyticus and Vibrio vulnificus, cause gastroenteritis, septicemia, and other extra-intestinal infections. Incidence of vibriosis is rising globally, with evidence that anthropogenic factors, primarily emissions of carbon dioxide associated with atmospheric warming and more frequent and intense heatwaves, significantly influence environmental parameters, e.g., temperature, salinity, and nutrients, all of which can enhance growth of Vibrio spp. in aquatic ecosystems. It is not possible to eliminate Vibrio spp., as they are autochthonous to the aquatic environment and many play a critical role in carbon and nitrogen cycling. Risk prediction models provide an early warning that is essential for safeguarding public health. This is especially important for regions of the world vulnerable to infrastructure instability, including lack of 'water, sanitation, and hygiene' (WASH), and a less resilient infrastructure that is vulnerable to natural calamity, e.g., hurricanes, floods, and earthquakes, and/or social disruption and civil unrest, arising from war, coups, political crisis, and economic recession. Incorporating environmental, social, and behavioural parameters into such models allows improved prediction, particularly of cholera epidemics. We have reported that damage to WASH infrastructure, coupled with elevated air temperatures and followed by above average rainfall, promotes exposure of a population to contaminated water and increases the risk of an outbreak of cholera. Interestingly, global predictive risk models successful for cholera have the potential, with modification, to predict diseases caused by other clinically relevant Vibrio spp. In the research reported here, the focus was on environmental parameters associated with incidence and distribution of clinically relevant Vibrio spp. and their role in disease transmission. In addition, molecular methods designed for detection and enumeration proved useful for predictive modelling and are described, namely in the context of prediction of environmental conditions favourable to Vibrio spp., hence human health risk.
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Affiliation(s)
- Kyle D Brumfield
- Maryland Pathogen Research Institute, University of Maryland, College Park, MD, USA.,University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA
| | - Moiz Usmani
- Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA
| | - Kristine M Chen
- Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA
| | - Mayank Gangwar
- Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA
| | - Antarpreet S Jutla
- Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA
| | - Anwar Huq
- Maryland Pathogen Research Institute, University of Maryland, College Park, MD, USA
| | - Rita R Colwell
- Maryland Pathogen Research Institute, University of Maryland, College Park, MD, USA.,University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA
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The triad of nanotechnology, cell signalling, and scaffold implantation for the successful repair of damaged organs: An overview on soft-tissue engineering. J Control Release 2021; 332:460-492. [DOI: 10.1016/j.jconrel.2021.02.036] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 02/26/2021] [Accepted: 02/28/2021] [Indexed: 12/11/2022]
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30
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Li N, Cai Q, Miao Q, Song Z, Fang Y, Hu B. High-Throughput Metagenomics for Identification of Pathogens in the Clinical Settings. SMALL METHODS 2021; 5:2000792. [PMID: 33614906 PMCID: PMC7883231 DOI: 10.1002/smtd.202000792] [Citation(s) in RCA: 107] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/24/2020] [Indexed: 05/25/2023]
Abstract
The application of sequencing technology is shifting from research to clinical laboratories owing to rapid technological developments and substantially reduced costs. However, although thousands of microorganisms are known to infect humans, identification of the etiological agents for many diseases remains challenging as only a small proportion of pathogens are identifiable by the current diagnostic methods. These challenges are compounded by the emergence of new pathogens. Hence, metagenomic next-generation sequencing (mNGS), an agnostic, unbiased, and comprehensive method for detection, and taxonomic characterization of microorganisms, has become an attractive strategy. Although many studies, and cases reports, have confirmed the success of mNGS in improving the diagnosis, treatment, and tracking of infectious diseases, several hurdles must still be overcome. It is, therefore, imperative that practitioners and clinicians understand both the benefits and limitations of mNGS when applying it to clinical practice. Interestingly, the emerging third-generation sequencing technologies may partially offset the disadvantages of mNGS. In this review, mainly: a) the history of sequencing technology; b) various NGS technologies, common platforms, and workflows for clinical applications; c) the application of NGS in pathogen identification; d) the global expert consensus on NGS-related methods in clinical applications; and e) challenges associated with diagnostic metagenomics are described.
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Affiliation(s)
- Na Li
- Department of Infectious DiseasesZhongshan HospitalFudan UniversityShanghai200032China
| | - Qingqing Cai
- Genoxor Medical Science and Technology Inc.Zhejiang317317China
| | - Qing Miao
- Department of Infectious DiseasesZhongshan HospitalFudan UniversityShanghai200032China
| | - Zeshi Song
- Genoxor Medical Science and Technology Inc.Zhejiang317317China
| | - Yuan Fang
- Genoxor Medical Science and Technology Inc.Zhejiang317317China
| | - Bijie Hu
- Department of Infectious DiseasesZhongshan HospitalFudan UniversityShanghai200032China
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