Evidence map›Paper›PMID 28848526›Full record

ArticleFrontiers in microbiology2017

Curcumin Quantum Dots Mediated Degradation of Bacterial Biofilms.

Ashish K Singh, Pradyot Prakash, Ranjana Singh, Nabarun Nandy, Zeba Firdaus, Monika Bansal, Ranjan K Singh, Anchal Srivastava, Jagat K Roy, Brahmeshwar Mishra and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Ashish K SinghBacterial Biofilm and Drug Resistance Research Group, Department of Microbiology, Institute of Medical Sciences, Banaras Hindu UniversityVaranasi, India.
Pradyot PrakashBacterial Biofilm and Drug Resistance Research Group, Department of Microbiology, Institute of Medical Sciences, Banaras Hindu UniversityVaranasi, India.
Ranjana SinghBiophysics Laboratory, Department of Physics, Institute of Science, Banaras Hindu UniversityVaranasi, India.
Nabarun NandyCytogenetics Laboratory, Department of Zoology, Institute of Science, Banaras Hindu UniversityVaranasi, India.
Zeba FirdausDepartment of Medicinal Chemistry, Institute of Medical Sciences, Banaras Hindu UniversityVaranasi, India.
Monika BansalFaculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu UniversityVaranasi, India.
Ranjan K SinghBiophysics Laboratory, Department of Physics, Institute of Science, Banaras Hindu UniversityVaranasi, India.
Anchal SrivastavaBiophysics Laboratory, Department of Physics, Institute of Science, Banaras Hindu UniversityVaranasi, India.
Jagat K RoyCytogenetics Laboratory, Department of Zoology, Institute of Science, Banaras Hindu UniversityVaranasi, India.
Brahmeshwar MishraDepartment of Pharmaceutics, Indian Institute of Technology, Banaras Hindu UniversityVaranasi, India.
Rakesh K SinghMolecular Immunology Laboratory, Department of Biochemistry, Institute of Science, Banaras Hindu UniversityVaranasi, India.
Banaras Hindu University · INInstitute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial biofilm has been reported to be associated with more than 80% of bacterial infections. Curcumin, a hydrophobic polyphenol compound, has anti-quorum sensing activity apart from having antimicrobial action. However, its use is limited by its poor aqueous solubility and rapid degradation. In this study, we attempted to prepare quantum dots of the drug curcumin in order to achieve enhanced solubility and stability and investigated for its antimicrobial and antibiofilm activity. We utilized a newer two-step bottom up wet milling approach to prepare Curcumin Quantum Dots (CurQDs) using acetone as a primary solvent. Minimum inhibitory concentration against select Gram-positive and Gram-negative bacteria was performed. The antibiofilm assay was performed at first using 96-well tissue culture plate and subsequently validated by Confocal Laser Scanning Microscopy. Further, biofilm matrix protein was isolated using formaldehyde sludge and TCA/Acetone precipitation method. Protein extracted was incubated with varying concentration of CurQDs for 4 h and was subjected to SDS-PAGE. Molecular docking study was performed to observe interaction between curcumin and phenol soluble modulins as well as curli proteins. The biophysical evidences obtained from TEM, SEM, UV-VIS, fluorescence, Raman spectroscopy, and zeta potential analysis confirmed the formation of curcumin quantum dots with increased stability and solubility. The MICs of curcumin quantum dots, as observed against both select gram positive and negative bacterial isolates, was observed to be significantly lower than native curcumin particles. On TCP assay, Curcumin observed to be having antibiofilm as well as biofilm degrading activity. Results of SDS-PAGE and molecular docking have shown interaction between biofilm matrix proteins and curcumin. The results indicate that aqueous solubility and stability of Curcumin can be achieved by preparing its quantum dots. The study also demonstrates that by sizing down the particle size has not only enhanced its antimicrobial properties but it has also shown its antibiofilm activities. Further, study is needed to elucidate the exact nature of interaction between curcumin and biofilm matrix proteins.

Indexed as

adhesionantimicrobial agentsbacterial biofilmcurcuminnano-curcuminquantum dots

Identifiers

PMID28848526
PMCPMC5552728
OpenAlexW2742311465

What OpenQuestion holds

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LicenceCC BY
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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.