Evidence map›Paper›PMID 24358207›Full record

ArticlePloS one2013

Nicotine-induced expression of low-density lipoprotein receptor in oral epithelial cells.

Satoshi Ito, Takahiro Gojoubori, Kou Tsunoda, Yoko Yamaguchi, Masatake Asano, Eiji Goke, Ryosuke Koshi, Naoyuki Sugano, Naoto Yoshinuma, Kazuo Komiyama and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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 at 1 institution in 1 country.

Satoshi ItoDivision of Applied Oral Sciences, Nihon University Graduate School of Dentistry, Tokyo, Japan.
Takahiro GojouboriDivision of Applied Oral Sciences, Nihon University Graduate School of Dentistry, Tokyo, Japan.
Kou TsunodaDivision of Applied Oral Sciences, Nihon University Graduate School of Dentistry, Tokyo, Japan.
Yoko YamaguchiDepartment of Biochemistry, Nihon University School of Dentistry, Tokyo, Japan ; Division of Functional Morphology, Nihon University School of Dentistry, Tokyo, Japan.
Masatake AsanoDepartment of Pathology, Nihon University School of Dentistry, Tokyo, Japan ; Division of Immunology and Pathobiology, Nihon University School of Dentistry, Tokyo, Japan.
Eiji GokeDepartment of Periodontology, Nihon University School of Dentistry, Tokyo, Japan.
Ryosuke KoshiDepartment of Periodontology, Nihon University School of Dentistry, Tokyo, Japan ; Division of Advanced Dental Treatment, Nihon University School of Dentistry, Tokyo, Japan.
Naoyuki SuganoDepartment of Periodontology, Nihon University School of Dentistry, Tokyo, Japan ; Division of Advanced Dental Treatment, Nihon University School of Dentistry, Tokyo, Japan.
Naoto YoshinumaDepartment of Periodontology, Nihon University School of Dentistry, Tokyo, Japan ; Division of Advanced Dental Treatment, Nihon University School of Dentistry, Tokyo, Japan.
Kazuo KomiyamaDepartment of Pathology, Nihon University School of Dentistry, Tokyo, Japan ; Division of Immunology and Pathobiology, Nihon University School of Dentistry, Tokyo, Japan.
Koichi ItoNihon University School of Dentistry, Tokyo, Japan.
Nihon University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNicotine use is one of the most important risk factors for the development of cardiovascular and periodontal diseases. Numerous reports have suggested the possible contribution of disturbed lipid metabolism for the development of both disease groups. Despite these observations, little is known about the relationship between tobacco smoking and the development of these diseases. Our previous microarray data revealed that nicotine induced low-density lipoprotein receptor (LDLR) expression in oral epithelial cells (OECs). The aim of the present study was to confirm nicotine-mediated LDLR induction and to elucidate the signaling mechanisms leading to the augmented expression of LDLR in OECs. METHODS AND

resultsLDLR and nicotinic acetylcholine receptor (nAChR) subunit expression was detected by real-time PCR. The production of LDLR was demonstrated by immunofluorescence staining. nAChR-mediated LDLR induction was examined by pre-incubation of the cells with its specific inhibitor, α-bungarotoxin (α-BTX). The functional importance of transcription factor specific protein 1 (Sp1) was examined by luciferase assay, mithramycin pre-incubation or by small interfering RNA (siRNA) transfection. The specific binding of Sp1 to R3 region of LDLR 5'-untranslated region was demonstrated with electrophoretic mobility shift assay (EMSA) and streptavidin-agarose precipitation assay followed by western blotting. The results confirmed that nicotine induced LDLR expression at the transcriptional level. Nicotine was sensed by nAChR and the signal was transduced by Sp1 which bound to the R3 region of LDLR gene. Augmented production of LDLR in the gingival epithelial cells was further demonstrated by immunofluorescence staining using the gingival tissues obtained from the smoking patients.

conclusionsTaken together, the results suggested that nicotine might contribute to the development of both cardiovascular and periodontal diseases by inducing the LDLR in OECs thereby disturbing lipid metabolism.

Indexed as

AdultAgedCell Line, TumorDose-Response Relationship, DrugEpithelial CellsFemaleHumansLipid MetabolismMaleMiddle AgedMouth MucosaNicotineReceptors, LDLUp-RegulationNicotineReceptors, LDL

Identifiers

PMID24358207
PMCPMC3864957
OpenAlexW2031624442

What OpenQuestion holds

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LicenceCC BY
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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.