Antimicrobial agent-34
Antimicrobial agent-34 (compound 4h) is an antibacterial agent (MIC = 1–4 μg/mL), with a clogP value of 9.14. Antimicrobial agent-34 has good plasma stability (HC50 of 131.1 μg/mL) and good membrane selectivity (HC50/MIC is 65.6), with rapid sterilization capability. Antimicrobial agent-34 destroys the integrity of bacterial cell membranes, induces an increase in intracellular reactive oxygen species, and leaks protein and DNA, ultimately leading to bacterial death. Antimicrobial agent-34 demonstrates significant in vivo antibacterial potency in a mouse sepsis model infected with Staphylococcus aureus ATCC43300.
For research use only. We do not sell to patients.
- CAS No.: 3055131-42-2
- Formula: C32H52N2O3
- Molecular Weight:512.77
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Storage:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biological Activity
Description
In Vitro
Antimicrobial agent-34 can be stably present in human serum, plasma and blood, with MBCs of 16, 16 and 32 μg/mL, respectively, without losing its antimicrobial effect[1].
Antimicrobial agent-34 has the strongest antibacterial activity against 6 Gram-positive bacteria, with a wide antibacterial spectrum and a MIC range of 1-4 μg/mL. It also has good antibacterial activity against Klebsiella pneumoniae ATCC10031, Unstable Bacteria ATCC19606, and Escherichia coli ATCC25922, with MICs of 4, 2, and 4 μg/mL, respectively[1].
Antimicrobial agent-34 (1×-16× MIC) shows rapid antibacterial activity against Staphylococcus aureus, and it is dose-dependent[1].
Antimicrobial agent-34 (2-16 mg/mL; 0-24 h) is difficult to induce resistance. The resistance test of Staphylococcus aureus ATCC43300 under sub-MIC (1/2 MIC) shows a MIC change of only 2-4 times[1].
Antimicrobial agent-34 (2-64 mg/mL, 0-20 days) has a strong ability to inhibit biofilm formation and destroy pre-formed biofilm, and it is dose-dependent[1].
Antimicrobial agent-34 (2-32 mg/mL, 0-20 min) disruptes the transmembrane potential of S. aureus, thereby increasing permeability and effectively increasing the levels of ROS, DNA, and protein in S. aureus[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
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Cell Line:Staphylococcus aureus ATCC43300
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Concentration:2, 4, 8, 16 mg/mL
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Incubation Time:0, 2, 4, 6, 8, 10, 12, 20, 24 h
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Result:Achieved a 8.35 log reduction (killing ≥99.9 % of S. aureus) in 4 h compared with the control, and the killing rate was 100 % after 8 h, while reference drug vancomycin exhibited a 8.55 log reduction of S. aureus within 8 h at the same concentration.
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Cell Line:Staphylococcus aureus ATCC43300
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Concentration:2, 4, 8, 16, 32, 64 mg/mL
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Incubation Time:20 days
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Result:Inhibited the formation of biofilm of Staphylococcus aureus, and the formation of biofilm was significantly reduced with the increase of concentration. 8 μg/mL eliminated 26.69% of the established biofilm of Staphylococcus aureus, and the eradication rate of biofilm at 64 μg/mL exceeded 40%.
In Vivo
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only.
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Animal Model:Mouse sepsis model infected by S. aureus ATCC43300[1].
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Dosage:5 and 10 mg/kg; continuously at 12-h intervals for 2 days
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Administration:Intraperitoneal injection (i.p.)
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Result:Achieved 1.10, 1.98, 2.00 and 2.09 log (91.8 %, 98.9 %, 99.0 % and 99.2 %) reductions in the number of surviving bacterial colonies in blood, liver, spleen and kidney by 5mg/mL.
Achieved, respectively, 1.46, 2.69, 2.24 and 2.84 log (95.9 %, 99.8 %, 99.4 % and 99.9 %) by 10mg/mL.
Decreased in the level of proinflammatory cytokines including TNF-α and IL-6.
Chemical Information
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CAS No. 3055131-42-2
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Molecular Weight 512.77
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Formula C32H52N2O3
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SMILES
CC(C=C1)(CC/C=C(C)\C)OC2=C1C(OCCCNCCCN(CCCC)CCCC)=C(C(C)=O)C=C2
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Shipping
Room temperature in continental US; may vary elsewhere.
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Storage
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocols
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Research Protocol for Infectious Diseases
Infectious-disease experiments test how pathogens interact with host barriers, innate immune receptors, inflammatory signaling, pathogen replication, and tissue injury; pattern-recognition receptors such as TLRs, RIG-I-like receptors, NOD-like receptors, and inflammasomes detect microbial molecules and activate NF-κB, interferon, and cytokine responses. The central hypothesis is that infection severity reflects the balance between pathogen burden and host response: protective inflammation restricts pathogen growth, whereas excessive or mislocalized inflammation contributes to tissue damage and disease phenotype. Unresolved questions include which host pathways are protective versus pathogenic, why some infection models fail to translate to human disease, and which combined readouts best predict clinically relevant infection outcomes.
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LPS-Induced Endotoxemia/Systemic Inflammation
Lipopolysaccharide (LPS)-induced endotoxemia is a widely used in vivo model of acute systemic inflammation in which LPS, a Gram-negative bacterial endotoxin, activates innate immune signaling primarily through TLR4, leading to rapid and transient induction of pro-inflammatory cytokines such as TNF-α, IL-6, and IL-1β in circulation and tissues. This cytokine surge is commonly used as a measurable readout of systemic inflammatory activation and immune dysregulation, and is typically assessed within hours after intraperitoneal LPS administration in mouse models of endotoxemia. The model captures key features of systemic inflammatory response syndrome, including cytokine release, immune cell activation, and downstream tissue responses, and has been used to evaluate anti-inflammatory interventions such as cytokine modulation, lipid mediators, and immune cell-targeting therapies.
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ROS/oxidative-stress fluorescent staining
ROS/oxidative-stress fluorescent staining uses cell-permeant fluorogenic probes that become fluorescent after oxidation inside cells or tissues; commonly used examples include DCFH-DA/DCFDA for broad cellular oxidant detection, DHE for superoxide-related signal detection, MitoSOX for mitochondrial superoxide-related signal detection, and CellROX probes for oxidative-stress-associated fluorescence readouts. The assay detects probe oxidation rather than a single ROS species unless the probe and analysis method have been chemically validated for that species. DCFH-DA enters cells, is deacetylated by intracellular esterases to DCFH, and produces fluorescent DCF after oxidation, so the readout is used as an operational measure of total cellular oxidative stress rather than a species-specific ROS measurement. DHE and MitoSOX can report superoxide-related oxidation, but red fluorescence alone can include non-specific ethidium-like oxidation products; HPLC or optimized spectral approaches are
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Bacterial live/dead nucleic-acid viability staining
The LIVE/DEAD bacterial viability staining method is based on differential permeability of nucleic-acid-binding fluorescent dyes, most commonly SYTO 9 and propidium iodide (PI), which enables discrimination of bacterial populations with intact versus compromised cytoplasmic membranes. SYTO 9 penetrates both intact and damaged bacterial membranes and binds nucleic acids to produce green fluorescence, whereas propidium iodide penetrates only cells with compromised membranes and fluoresces red while also reducing SYTO 9 signal through competitive binding and fluorescence interactions. The resulting fluorescence pattern is interpreted as a proxy for membrane integrity, which is widely used as an indicator of bacterial viability in microscopy, flow cytometry, and spectroscopic platforms. However, mechanistic studies show that SYTO 9 and PI interactions involve displacement and fluorescence resonance energy transfer effects, which can influence signal interpretation depending on dye ratios a
Purity & Documentation
References
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)