Back

Targeted Sortase A Inhibition by Novel Peptidomimetic Antivirulents against Staphylococcal Infections

Hintzen, J. C. J.; Rahimi, S.; Tietze, D.; Zhang, J.; Mijakovic, I.; Tietze, A. A.

2025-01-15 microbiology
10.1101/2025.01.14.632915 bioRxiv
Show abstract

Antibiotic resistance is a critical public health issue, causing resistant bacterial strains to be increasingly difficult to control. Antivirulence therapies, which target bacterial virulence factors rather than kill bacteria, present a promising approach. Sortase enzymes, particularly SrtA, are crucial for Gram-positive bacterial virulence by anchoring surface proteins essential for bacterial adhesion and biofilm formation to the bacterial outer cell wall. This study evaluates the selectivity of the peptidomimetic inhibitor BzLPRDSar towards various Gram-positive bacteria. The BzLPRDSar significantly inhibited biofilm formation in multidrug-resistant S. aureus and S. epidermidis. Conversely, it showed variable and generally lower selectivity to Gram-positive species such as E. faecalis, B. cereus and S. agalactiae. The selectivity towards Staphylococcus species is attributed to conserved structural elements in the SrtA enzyme, particularly the {beta}7/{beta}8 loop region with a key tryptophan, likely facilitating strong binding interactions with the inhibitor. ImportanceThis study addresses the pressing issue of antibiotic resistance by exploring antivirulence therapy as an innovative alternative to conventional antibiotics, focusing on inhibiting bacterial virulence rather than bacterial growth. By evaluating the selectivity of the peptidomimetic inhibitor BzLPRDSar against various Gram-positive bacteria, the study highlights its potent selectivity in inhibiting biofilm formation in multidrug-resistant S. aureus and S. epidermidis. The findings underscore the potential of targeting conserved structural elements in bacterial Sortase enzymes, particularly in Staphylococcal species, to develop more selective and effective antivirulence therapies.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
ACS Infectious Diseases
74 papers in training set
Top 0.1%
18.7%
2
Antibiotics
32 papers in training set
Top 0.1%
10.1%
3
Antimicrobial Agents and Chemotherapy
167 papers in training set
Top 0.2%
10.1%
4
mBio
750 papers in training set
Top 2%
6.8%
5
International Journal of Antimicrobial Agents
15 papers in training set
Top 0.1%
6.3%
50% of probability mass above
6
Microbiology Spectrum
435 papers in training set
Top 0.4%
4.9%
7
Frontiers in Microbiology
375 papers in training set
Top 2%
4.9%
8
Journal of Global Antimicrobial Resistance
15 papers in training set
Top 0.2%
3.6%
9
PLOS ONE
4510 papers in training set
Top 48%
2.1%
10
Scientific Reports
3102 papers in training set
Top 50%
2.1%
11
ACS Omega
90 papers in training set
Top 2%
1.7%
12
Toxins
14 papers in training set
Top 0.1%
1.7%
13
Nature Communications
4913 papers in training set
Top 53%
1.5%
14
Journal of Antimicrobial Chemotherapy
43 papers in training set
Top 0.3%
1.0%
15
Microbiology
57 papers in training set
Top 1.0%
0.9%
16
BMC Microbiology
35 papers in training set
Top 1%
0.8%
17
mSystems
361 papers in training set
Top 7%
0.8%
18
The Journal of Infectious Diseases
182 papers in training set
Top 5%
0.8%
19
ACS Chemical Biology
150 papers in training set
Top 2%
0.7%
20
Microorganisms
101 papers in training set
Top 2%
0.7%
21
Frontiers in Pharmacology
100 papers in training set
Top 5%
0.7%
22
International Journal of Biological Macromolecules
65 papers in training set
Top 4%
0.6%
23
Journal of Molecular Graphics and Modelling
16 papers in training set
Top 0.3%
0.6%