Evidence map›Paper›PMID 27091032›Full record

ArticlePharmaceutical research2016

Development and Characterization of the Paclitaxel loaded Riboflavin and Thiamine Conjugated Carbon Nanotubes for Cancer Treatment.

Swati Singh, Neelesh Kumar Mehra, N K Jain

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 60 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

3 authors at 1 institution in 1 country.

Swati SinghPharmaceutics Research Laboratory, Department of Pharmaceutical Sciences, Dr. H. S. Gour Central University, Sagar, 470 003, India.
Neelesh Kumar MehraPharmaceutics Research Laboratory, Department of Pharmaceutical Sciences, Dr. H. S. Gour Central University, Sagar, 470 003, India. neelesh81mph@gmail.com.
N K JainPharmaceutics Research Laboratory, Department of Pharmaceutical Sciences, Dr. H. S. Gour Central University, Sagar, 470 003, India.
Dr. Hari Singh Gour University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn the present investigation, we prepared and evaluated the paclitaxel loaded riboflavin and thiamine conjugated multi walled carbon nanotubes (PTX-Rf-MWCNTs and PTX-Tm-MWCNTs) for targeted delivery to cancer employing MCF-7 cancer cell lines.

methodsThe developed conjugates were characterized using FTIR, NMR spectroscopy, electron microscopy drug loading, release, stability, hemolytic, ex vivo and in vivo studies etc.

resultsThe percent entrapment efficiency was found to be 87.92 ± 0.48 and 82.75 ± 0.47% of PTX-Tm-MWCNTs, PTX-Rf-MWCNTs, respectively. The percent hemolysis of purified MWCNTs, PTX-MWCNTs, PTX-Tm-MWCNTs and PTX-Rf-MWCNTs was found to be 20.49 ± 0.97, 37.39 ± 0.78, 14.61 ± 0.84 and 11.17 ± 0.77% respectively. The PTX-Tm-MWCNTs and PTX-Rf-MWCNTs showed more cytotoxic effect as compared to PTX and PTX-MWCNTs with PTX-Rf-MWCNTs exhibiting the maximum cytotoxic potential.

conclusionThus in final outcome, we concluded that the riboflavin and thiamine conjugated MWCNTs shown great promising potential in the treatment of cancer, but more exhaustive data is needed in future.

Indexed as

Cell Line, TumorDrug CarriersDrug Delivery SystemsHumansMCF-7 CellsNanotubes, CarbonPaclitaxelRiboflavinThiamineDrug CarriersNanotubes, CarbonPaclitaxelRiboflavinThiaminecarbon nanotubesMCF-7 breast cancer cell linepaclitaxelriboflavinthiaminevitamins

Identifiers

PMID27091032
OpenAlexW2340777462

What OpenQuestion holds

Textmetadata
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.