Molecular insights into flavone-mediated quorum sensing interference: A novel strategy against Serratia marcescens biofilm-induced antibiotic resistance"

被引:1
作者
Pandey, Pooja [1 ]
Rao, Lawanya [1 ]
Shekhar, Bipin R. [2 ]
Das, Dhanjit K. [2 ]
Vavilala, Sirisha L. [1 ]
机构
[1] Univ Mumbai, UM DAE Ctr Excellence Basic Sci, Sch Biol Sci, Kalina Campus, Mumbai 400098, India
[2] ICMR Natl Inst Res Reprod & Child Hlth, Stem Cell Biol, Jahangir Merwanji St, Mumbai, India
关键词
Flavone; Antibacterial; Antibiofilm; Anti-Quorum sensing; Flow cytometry; Phytochemicals; INFECTIONS;
D O I
10.1016/j.cbi.2024.111027
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Antibiotic resistance poses a significant challenge in modern medicine, urging the exploration of innovative approaches to combat bacterial infections. Biofilms, complex bacterial communities encased in a protective matrix, contribute to resistance by impeding antibiotic efficacy and promoting genetic exchange. Understanding biofilm dynamics is crucial for developing effective antimicrobial therapies against antibiotic resistance. This study explores the potential of flavone to combat biofilm-induced antibiotic resistance by employing in-vitro biochemical, cell biology, and In silico (MD simulation), approaches. Flavone exhibited potent antibacterial effects with a low minimum inhibitory concentration by inducing intracellular reactive oxygen species. Flavones further inhibited the formation of biofilms by 50-60 % and disrupted the pre-formed biofilms by reducing the extracellular polysaccharide substance protective layer formed on the biofilm by 80 %. Quorum sensing (QS) plays a crucial role in bacterial pathogenicity and flavone significantly attenuated the production of QS-induced virulence factors like urease, protease, lipase, hemolysin and prodigiosin pigment in a dose-dependent manner. Further In silico molecular docking studies along with molecular dynamic simulations run for 100 ns proved the stable binding affinity of flavone with QS-specific proteins which are crucial for biofilm formation. This study demonstrates the therapeutic potential of flavone to target QS-signaling pathway to combat S. marcescens biofilms.
引用
收藏
页码: 400098 / India; Stem Cell Biology
页数:17
相关论文
共 70 条
  • [1] Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
    Abraham, Mark James
    Murtola, Teemu
    Schulz, Roland
    Páll, Szilárd
    Smith, Jeremy C.
    Hess, Berk
    Lindah, Erik
    [J]. SoftwareX, 2015, 1-2 : 19 - 25
  • [2] PLIP 2021: expanding the scope of the protein-ligand interaction profiler to DNA and RNA
    Adasme, Melissa F.
    Linnemann, Katja L.
    Bolz, Sarah Naomi
    Kaiser, Florian
    Salentin, Sebastian
    Haupt, V. Joachim
    Schroeder, Michael
    [J]. NUCLEIC ACIDS RESEARCH, 2021, 49 (W1) : W530 - W534
  • [3] [Anonymous], 2019, M100 CLIN LAB STAND, V29
  • [4] Antibiofilm efficacy of silver nanoparticles against biofilm of extended spectrum β-lactamase isolates of Escherichia coli and Klebsiella pneumoniae
    Ansari, Mohammad Azam
    Khan, Haris M.
    Khan, Aijaz A.
    Cameotra, Swaranjit Singh
    Pal, Ruchita
    [J]. APPLIED NANOSCIENCE, 2014, 4 (07) : 859 - 868
  • [5] Antibiofilm activity of essential oils and plant extracts against Staphylococcus aureus and Escherichia coli biofilms
    Bazargani, Mitra Mohammadi
    Rohloff, Jens
    [J]. FOOD CONTROL, 2016, 61 : 156 - 164
  • [6] Biovia D. S., 2000, J CHEM PHYS, V10, P21, DOI DOI 10.1016/0021-9991(74)90010-2.2016
  • [7] Canonical sampling through velocity rescaling
    Bussi, Giovanni
    Donadio, Davide
    Parrinello, Michele
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2007, 126 (01)
  • [8] Butt Sania Safdar, 2020, JMIR Bioinform Biotechnol, V1, pe14232, DOI 10.2196/14232
  • [9] EFFECT OF 3( HYDROGEN PEROXIDE ON VIABILITY OF SERRATIA MARCESCENS
    CAMPBELL, JE
    DIMMICK, RL
    [J]. JOURNAL OF BACTERIOLOGY, 1966, 91 (03) : 925 - &
  • [10] Improved protein-ligand binding affinity prediction by using a curvature-dependent surface-area model
    Cao, Yang
    Li, Lei
    [J]. BIOINFORMATICS, 2014, 30 (12) : 1674 - 1680