Evidence map›Paper›PMID 33650856›Full record

ArticleACS infectious diseases2021

Random Peptide Mixtures as Safe and Effective Antimicrobials against

Richard C Bennett, Myung Whan Oh, Shanny Hsuan Kuo, Yael Belo, Bar Maron, Einav Malach, Jingjun Lin, Zvi Hayouka, Gee W Lau

Open access · greenAbstract read
In one paragraph

Article in ACS infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Construction of Baicalein-Loaded Chitosan Nanoparticles forInternational journal of nanomedicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Antimicrobial Random Peptide Mixtures EradicateAntibiotics (Basel, Switzerland) · 2022
    Article
  12. Advances and perspectives for antimicrobial peptide and combinatory therapies.Frontiers in bioengineering and biotechnology · 2022
    Review
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

9 authors at 2 institutions in 2 countries.

Richard C BennettDepartment of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61802, United States.
Myung Whan OhDepartment of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61802, United States.
Shanny Hsuan KuoDepartment of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61802, United States.
Yael BeloInstitute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel.
Bar MaronInstitute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel.
Einav MalachInstitute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel.
Jingjun LinDepartment of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61802, United States.
Zvi HayoukaInstitute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel.
Gee W LauDepartment of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61802, United States.ORCID 0000-0002-7962-3950
University of Illinois Urbana-Champaign · USHebrew University of Jerusalem · IL

Funding

Role of PA4878 in biofilm antimicrobial resistanceR01AI080710 · NIAID · STATE UNIVERSITY OF NY,BINGHAMTON · PI LAU, GEE W, SAUER, KARIN · 2009 to 2020
$3.1M
Controlling bactermic pneumococcal pneumonia with synthetic dominant-negative competence peptidesR01HL142626 · NHLBI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LAU, GEE W, TALGAN, YIFTAH · 2019 to 2022
$2.0M
Mechanisms of Pseudomonas Resistance to Membrane Permeabilization by SP-AR01HL090699 · NHLBI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LAU, GEE W · 2009 to 2012
$1.6M
NHLBI NIH HHS R01 HL090699NHLBI NIH HHS R01 HL142626NIAID NIH HHS R01 AI080710
6 · The paper itself

Abstract

Antibiotic resistance is a daunting challenge in modern medicine, and novel approaches that minimize the emergence of resistant pathogens are desperately needed. Antimicrobial peptides are newer therapeutics that attempt to do this; however, they fall short because of low to moderate antimicrobial activity, low protease stability, susceptibility to resistance development, and high cost of production. The recently developed random peptide mixtures (RPMs) are promising alternatives. RPMs are synthesized by incorporating a defined proportion of two amino acids at each coupling step rather than just one, making them highly variable but still defined in their overall composition, chain length, and stereochemistry. Because RPMs have extreme diversity, it is unlikely that bacteria would be capable of rapidly evolving resistance. However, their efficacy against pathogens in animal models of human infectious diseases remained uncharacterized. Here, we demonstrated that RPMs have strong safety and pharmacokinetic profiles. RPMs rapidly killed both

Indexed as

Anti-Infective AgentsBacteremiaMethicillin-Resistant Staphylococcus aureusPneumoniaAnimalsMicePeptidesPseudomonas aeruginosaAnti-Infective AgentsPeptidesacute pneumoniaantibiotic resistancebacteremiaPseudomonas aeruginosaRandom peptide mixturesStaphylococcus aureus

Identifiers

PMID33650856
PMCPMC8880176
OpenAlexW3135350327

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.