Evidence map›Paper›PMID 35846842›Full record

ArticleBioactive materials2023

Facial amphiphilicity index correlating chemical structures with antimicrobial efficacy.

Leman Buzoglu Kurnaz, Yuanyuan Luo, Xiaoming Yang, Amjed Alabresm, Ryan Leighton, Rani Kumar, JiHyeon Hwang, Alan W Decho, Prakash Nagarkatti, Mitzi Nagarkatti and 1 more

Abstract read
In one paragraph

Article in Bioactive materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. An Adaptive Cholic Acid Dimer for Selective Encapsulation.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Leman Buzoglu KurnazDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, United States.
Yuanyuan LuoDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, United States.
Xiaoming YangDepartment of Pathology, Microbiology and Immunology, University of South Carolina, School of Medicine, Columbia, SC, 29209, United States.
Amjed AlabresmDepartment of Environmental Health Sciences, University of South Carolina, Columbia, SC, 29208, United States.
Ryan LeightonDepartment of Environmental Health Sciences, University of South Carolina, Columbia, SC, 29208, United States.
Rani KumarDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, United States.
JiHyeon HwangDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, United States.
Alan W DechoDepartment of Environmental Health Sciences, University of South Carolina, Columbia, SC, 29208, United States.
Prakash NagarkattiDepartment of Pathology, Microbiology and Immunology, University of South Carolina, School of Medicine, Columbia, SC, 29209, United States.
Mitzi NagarkattiDepartment of Pathology, Microbiology and Immunology, University of South Carolina, School of Medicine, Columbia, SC, 29209, United States.
Chuanbing TangDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, United States.

Funding

Control of Facial Amphiphilicity to Tune Macromolecular Interactions with BacteriaR01AI149810 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI TANG, CHUANBING · 2020 to 2024
$1.8M
6 · The paper itself

Abstract

Facial amphiphilicity is an extraordinary chemical structure feature of a variety of antimicrobial peptides and polymers. Vast efforts have been dedicated to small molecular, macromolecular and dendrimer-like systems to mimic this highly preferred structure or conformation, including local facial amphiphilicity and global amphiphilicity. This work conceptualizes Facial Amphiphilicity Index (FAI) as a numerical value to quantitatively characterize the measure of chemical compositions and structural features in dictating antimicrobial efficacy. FAI is a ratio of numbers of charges to rings, representing both compositions of hydrophilicity and hydrophobicity. Cationic derivatives of multicyclic compounds were evaluated as model systems for testing antimicrobial selectivity against Gram-negative and Gram-positive bacteria. Both monocyclic and bicyclic compounds are non-antimicrobial regardless of FAIs. Antimicrobial efficacy was observed with systems having larger cross-sectional areas including tricyclic abietic acid and tetracyclic bile acid. While low and high FAIs respectively lead to higher and lower antimicrobial efficacy, in consideration of cytotoxicity, the sweet spot is typically suited with intermediate FAIs for each specific system. This can be well explained by the synergistic hydrophobic-hydrophobic and electrostatic interactions with bacterial cell membranes and the difference between bacterial and mammalian cell membranes. The adoption of FAI would pave a new avenue toward the design of next-generation antimicrobial macromolecules and peptides.

Indexed as

AntimicrobialChemical structureFacial amphiphilicityPeptide

Identifiers

PMID35846842
PMCPMC9253162

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.