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Negi P, Chadha J, Harjai K, Gondil VS, Kumari S, Raj K. Antimicrobial and Antibiofilm Potential of Green-Synthesized Graphene-Silver Nanocomposite against Multidrug-Resistant Nosocomial Pathogens. Biomedicines 2024; 12:1104. [PMID: 38791065 PMCID: PMC11117616 DOI: 10.3390/biomedicines12051104] [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: 03/15/2024] [Revised: 04/01/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
Hospital-acquired infections (HAIs) pose a significant risk to global health, impacting millions of individuals globally. These infections have increased rates of morbidity and mortality due to the prevalence of widespread antimicrobial resistance (AMR). Graphene-based nanoparticles (GBNs) are known to possess extensive antimicrobial properties by inflicting damage to the cell membrane, suppressing virulence, and inhibiting microbial biofilms. Developing alternative therapies for HAIs and addressing AMR can be made easier and more affordable by combining nanoparticles with medicinal plants harboring antimicrobial properties. Hence, this study was undertaken to develop a novel graphene-silver nanocomposite via green synthesis using Trillium govanianum plant extract as a reducing agent. The resulting nanocomposite comprised silver nanoparticles embedded in graphene sheets. The antibacterial and antifungal properties of graphene-silver nanocomposites were investigated against several nosocomial pathogens, namely, Candida auris, Candida glabrata, Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, and Pseudomonas aeruginosa. The nanocomposite displayed broad-range antimicrobial potential against the test pathogens, with minimum inhibitory concentrations (MICs) ranging between 31.25 and 125.0 µg/mL, and biofilm inhibition up to 80-96%. Moreover, nanocomposite-functionalized urinary catheters demonstrated hemocompatibility towards sheep erythrocytes and imparted anti-fouling activity to the biomaterial, while also displaying biocompatibility towards HEK 293 cells. Collectively, this investigation highlights the possible application of green-synthesized GBNs as an effective alternative to conventional antibiotics for combating multidrug-resistant pathogens.
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Affiliation(s)
- Preeti Negi
- Department of Microbiology, Basic Medical Sciences Block 1, South Campus, Panjab University, Sector-25, Chandigarh 160014, India
| | - Jatin Chadha
- Department of Microbiology, Basic Medical Sciences Block 1, South Campus, Panjab University, Sector-25, Chandigarh 160014, India
| | - Kusum Harjai
- Department of Microbiology, Basic Medical Sciences Block 1, South Campus, Panjab University, Sector-25, Chandigarh 160014, India
| | - Vijay Singh Gondil
- Department of Microbiology & Immunology, School of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA
| | - Seema Kumari
- Department of Microbiology, Basic Medical Sciences Block 1, South Campus, Panjab University, Sector-25, Chandigarh 160014, India
| | - Khem Raj
- Department of Microbiology, Basic Medical Sciences Block 1, South Campus, Panjab University, Sector-25, Chandigarh 160014, India
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Thirumugam G, Radhakrishnan Y, Ramamurthi S, Bhaskar JP, Krishnaswamy B. A systematic review on impact of SARS-CoV-2 infection. Microbiol Res 2023; 271:127364. [PMID: 36989761 PMCID: PMC10015779 DOI: 10.1016/j.micres.2023.127364] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/13/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023]
Abstract
Innumerable pathogens including RNA viruses have catastrophic pandemic propensity, in turn, SARS-CoV-2 infection is highly contagious. Emergence of SARS-CoV-2 variants with high mutation rate additionally codifies infectious ability of virus and arisen clinical imputations to human health. Although, our knowledge of mechanism of virus infection and its impact on host system has been substantially demystified, uncertainties about the emergence of virus are still not fully understood. To date, there are no potentially curative drugs are identified against the viral infection. Even though, drugs are repurposed in the initial period of infection, many are significantly negative in clinical trials. Moreover, the infection is dependent on organ status, co-morbid conditions, variant of virus and geographic region. This review article aims to comprehensively describe the SARS-CoV-2 infection and the impacts in the host cellular system. This review also briefly provides an overview of genome, proteome and metabolome associated risk to infection and the advancement of therapeutics in SARS-CoV-2 infection management.
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Key Words
- sars-cov-2, severe acute respiratory syndrome coronavirus 2
- who, world health organization
- mers-cov-middle, east respiratory syndrome coronavirus
- ig, immunoglobulin
- rgd, arginine-glycine-aspartic
- nk-natural, killer cells
- s1 and s2, subunits of s protein
- nsp, non-structural proteins
- voi, varian of interest
- voc, variant of concern
- vum-variant, under monitoring
- ace2, angiotensin converting enzyme 2
- nsp-non-structural, proteins
- orf-open, reading frame
- sars-cov-2
- variants
- omics
- alternative medicines
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Affiliation(s)
- Gowripriya Thirumugam
- Department of Biotechnology, Science Campus, Alagappa University, Karaikudi 630 003, Tamil Nadu, India
| | - Yashwanth Radhakrishnan
- ITC - Life Sciences and Technology Centre, Peenya Industrial Area, 1(st) Phase, Bangalore 560058, Karnataka, India
| | - Suresh Ramamurthi
- ITC - Life Sciences and Technology Centre, Peenya Industrial Area, 1(st) Phase, Bangalore 560058, Karnataka, India
| | - James Prabhanand Bhaskar
- ITC - Life Sciences and Technology Centre, Peenya Industrial Area, 1(st) Phase, Bangalore 560058, Karnataka, India
| | - Balamurugan Krishnaswamy
- Department of Biotechnology, Science Campus, Alagappa University, Karaikudi 630 003, Tamil Nadu, India,Corresponding author
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Kariyawasam RM, Julien DA, Jelinski DC, Larose SL, Rennert-May E, Conly JM, Dingle TC, Chen JZ, Tyrrell GJ, Ronksley PE, Barkema HW. Antimicrobial resistance (AMR) in COVID-19 patients: a systematic review and meta-analysis (November 2019-June 2021). Antimicrob Resist Infect Control 2022; 11:45. [PMID: 35255988 PMCID: PMC8899460 DOI: 10.1186/s13756-022-01085-z] [Citation(s) in RCA: 88] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 02/20/2022] [Indexed: 12/23/2022] Open
Abstract
Background Pneumonia from SARS-CoV-2 is difficult to distinguish from other viral and bacterial etiologies. Broad-spectrum antimicrobials are frequently prescribed to patients hospitalized with COVID-19 which potentially acts as a catalyst for the development of antimicrobial resistance (AMR). Objectives We conducted a systematic review and meta-analysis during the first 18 months of the pandemic to quantify the prevalence and types of resistant co-infecting organisms in patients with COVID-19 and explore differences across hospital and geographic settings. Methods We searched MEDLINE, Embase, Web of Science (BioSIS), and Scopus from November 1, 2019 to May 28, 2021 to identify relevant articles pertaining to resistant co-infections in patients with laboratory confirmed SARS-CoV-2. Patient- and study-level analyses were conducted. We calculated pooled prevalence estimates of co-infection with resistant bacterial or fungal organisms using random effects models. Stratified meta-analysis by hospital and geographic setting was also performed to elucidate any differences. Results Of 1331 articles identified, 38 met inclusion criteria. A total of 1959 unique isolates were identified with 29% (569) resistant organisms identified. Co-infection with resistant bacterial or fungal organisms ranged from 0.2 to 100% among included studies. Pooled prevalence of co-infection with resistant bacterial and fungal organisms was 24% (95% CI 8–40%; n = 25 studies: I2 = 99%) and 0.3% (95% CI 0.1–0.6%; n = 8 studies: I2 = 78%), respectively. Among multi-drug resistant organisms, methicillin-resistant Staphylococcus aureus, carbapenem-resistant Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa and multi-drug resistant Candida auris were most commonly reported. Stratified analyses found higher proportions of AMR outside of Europe and in ICU settings, though these results were not statistically significant. Patient-level analysis demonstrated > 50% (n = 58) mortality, whereby all but 6 patients were infected with a resistant organism. Conclusions During the first 18 months of the pandemic, AMR prevalence was high in COVID-19 patients and varied by hospital and geography although there was substantial heterogeneity. Given the variation in patient populations within these studies, clinical settings, practice patterns, and definitions of AMR, further research is warranted to quantify AMR in COVID-19 patients to improve surveillance programs, infection prevention and control practices and antimicrobial stewardship programs globally. Supplementary Information The online version contains supplementary material available at 10.1186/s13756-022-01085-z.
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Affiliation(s)
- Ruwandi M Kariyawasam
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada.,Division of Diagnostic and Applied Microbiology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.,Alberta Precision Laboratories - Public Health Laboratory (ProvLab), Edmonton, AB, Canada
| | - Danielle A Julien
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada
| | - Dana C Jelinski
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada
| | - Samantha L Larose
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada
| | - Elissa Rennert-May
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada.,Departments of Medicine, Microbiology, Immunology and Infectious Diseases, and Community Health Sciences, O'Brien Institute for Public Health and Snyder Institute for Chronic Diseases, University of Calgary, Calgary, AB, Canada
| | - John M Conly
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada.,Departments of Medicine, Pathology and Laboratory Medicine, Microbiology, Immunology and Infectious Diseases, O'Brien Institute for Public Health, Snyder Institute for Chronic Diseases, University of Calgary and Alberta Health Services, Calgary, AB, Canada
| | - Tanis C Dingle
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada.,Division of Diagnostic and Applied Microbiology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.,Alberta Precision Laboratories - Public Health Laboratory (ProvLab), Edmonton, AB, Canada
| | - Justin Z Chen
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada.,Division of Infectious Diseases, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Gregory J Tyrrell
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada.,Division of Diagnostic and Applied Microbiology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.,Alberta Precision Laboratories - Public Health Laboratory (ProvLab), Edmonton, AB, Canada
| | - Paul E Ronksley
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada.,Department of Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Herman W Barkema
- Antimicrobial Resistance - One Health Consortium, Calgary, AB, Canada. .,Departments of Production Animal Health and Community Health Sciences,, One Health at UCalgary, University of Calgary, 3330 Hospital Drive NW, Calgary, T2N 4N1, Canada.
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Zhong H, Wang Y, Shi Z, Zhang L, Ren H, He W, Zhang Z, Zhu A, Zhao J, Xiao F, Yang F, Liang T, Ye F, Zhong B, Ruan S, Gan M, Zhu J, Li F, Li F, Wang D, Li J, Ren P, Zhu S, Yang H, Wang J, Kristiansen K, Tun HM, Chen W, Zhong N, Xu X, Li YM, Li J, Zhao J. Characterization of respiratory microbial dysbiosis in hospitalized COVID-19 patients. Cell Discov 2021; 7:23. [PMID: 33850111 PMCID: PMC8043102 DOI: 10.1038/s41421-021-00257-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 02/26/2021] [Indexed: 12/28/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic of Coronavirus disease 2019 (COVID-19). However, the microbial composition of the respiratory tract and other infected tissues as well as their possible pathogenic contributions to varying degrees of disease severity in COVID-19 patients remain unclear. Between 27 January and 26 February 2020, serial clinical specimens (sputum, nasal and throat swab, anal swab and feces) were collected from a cohort of hospitalized COVID-19 patients, including 8 mildly and 15 severely ill patients in Guangdong province, China. Total RNA was extracted and ultra-deep metatranscriptomic sequencing was performed in combination with laboratory diagnostic assays. We identified distinct signatures of microbial dysbiosis among severely ill COVID-19 patients on broad spectrum antimicrobial therapy. Co-detection of other human respiratory viruses (including human alphaherpesvirus 1, rhinovirus B, and human orthopneumovirus) was demonstrated in 30.8% (4/13) of the severely ill patients, but not in any of the mildly affected patients. Notably, the predominant respiratory microbial taxa of severely ill patients were Burkholderia cepacia complex (BCC), Staphylococcus epidermidis, or Mycoplasma spp. (including M. hominis and M. orale). The presence of the former two bacterial taxa was also confirmed by clinical cultures of respiratory specimens (expectorated sputum or nasal secretions) in 23.1% (3/13) of the severe cases. Finally, a time-dependent, secondary infection of B. cenocepacia with expressions of multiple virulence genes was demonstrated in one severely ill patient, which might accelerate his disease deterioration and death occurring one month after ICU admission. Our findings point to SARS-CoV-2-related microbial dysbiosis and various antibiotic-resistant respiratory microbes/pathogens in hospitalized COVID-19 patients in relation to disease severity. Detection and tracking strategies are needed to prevent the spread of antimicrobial resistance, improve the treatment regimen and clinical outcomes of hospitalized, severely ill COVID-19 patients.
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Affiliation(s)
- Huanzi Zhong
- BGI-Shenzhen, Shenzhen, 518083, China
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark
| | - Yanqun Wang
- 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, Guangdong, 510120, China
| | - Zhun Shi
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Lu Zhang
- Institute of Infectious disease, Guangzhou Eighth People's Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510060, China
- Guangzhou Customs District Technology Center, Guangzhou, 510700, China
| | - Huahui Ren
- BGI-Shenzhen, Shenzhen, 518083, China
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark
| | - Weiqun 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, Guangdong, 510120, China
| | - Zhaoyong 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, Guangdong, 510120, China
| | - Airu Zhu
- 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, Guangdong, 510120, China
| | - Jingxian Zhao
- 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, Guangdong, 510120, China
| | - Fei Xiao
- Department of Infectious Diseases, Guangdong Provincial Key Laboratory of Biomedical Imaging, Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong, 519000, China
| | - Fangming Yang
- BGI-Shenzhen, Shenzhen, 518083, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Tianzhu Liang
- BGI-Shenzhen, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen, 518083, China
| | - Feng Ye
- 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, Guangdong, 510120, China
| | - Bei Zhong
- The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, Guangdong, China
| | - Shicong Ruan
- Yangjiang People's Hospital, Yangjiang, Guangdong, China
| | - Mian Gan
- 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, Guangdong, 510120, China
| | - Jiahui Zhu
- BGI-Shenzhen, Shenzhen, 518083, China
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Fang Li
- 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, Guangdong, 510120, China
| | - Fuqiang Li
- BGI-Shenzhen, Shenzhen, 518083, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Daxi Wang
- BGI-Shenzhen, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen, 518083, China
| | - Jiandong Li
- BGI-Shenzhen, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen, 518083, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China
| | - Peidi Ren
- BGI-Shenzhen, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen, 518083, China
| | - Shida Zhu
- BGI-Shenzhen, Shenzhen, 518083, China
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI-Shenzhen, Shenzhen, 518120, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, 518083, China
- James D. Watson Institute of Genome Science, Hangzhou, 310008, China
- Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Shenzhen, 518120, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, 518083, China
- James D. Watson Institute of Genome Science, Hangzhou, 310008, China
| | - Karsten Kristiansen
- BGI-Shenzhen, Shenzhen, 518083, China
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark
| | - Hein Min Tun
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Weijun Chen
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China
- BGI PathoGenesis Pharmaceutical Technology Co., Ltd., BGI-Shenzhen, Shenzhen, 518083, China
| | - Nanshan Zhong
- 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, Guangdong, 510120, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, 518083, China.
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, 518120, China.
| | - Yi-Min Li
- 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, Guangdong, 510120, China.
| | - Junhua Li
- BGI-Shenzhen, Shenzhen, 518083, China.
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen, 518083, China.
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
| | - Jincun Zhao
- 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, Guangdong, 510120, China.
- Institute of Infectious disease, Guangzhou Eighth People's Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510060, China.
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