Evidence map›Paper›PMID 35087085›Full record

ArticleScientific reports2022

Effects of Acanthus ebracteatus Vahl. extract and verbascoside on human dermal papilla and murine macrophage.

Vanuchawan Wisuitiprot, Kornkanok Ingkaninan, Panlop Chakkavittumrong, Wudtichai Wisuitiprot, Nitra Neungchamnong, Ruttanaporn Chantakul, Neti Waranuch

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
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  4. Effects ofAnimals : an open access journal from MDPI · 2026
    Article
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  14. Article
  15. Molecules (Basel, Switzerland) · 2022
    Article
  16. New Insights onMolecules (Basel, Switzerland) · 2022
    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

7 authors at 3 institutions in 1 country.

Vanuchawan WisuitiprotDepartment of Pharmaceutical Technology, Faculty of Pharmaceutical Sciences and Center of Excellence for Innovation in Chemistry, Naresuan University, Phitsanulok, 65000, Thailand.
Kornkanok IngkaninanDepartment of Pharmaceutical Chemistry and Pharmacognosy, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, 65000, Thailand.
Panlop ChakkavittumrongDivision of Dermatology, Department of Medicine, Faculty of Medicine, Thammasat University, Khlong Luang, Pathumthani, 12121, Thailand.
Wudtichai WisuitiprotDepartment of Thai Traditional Medicine, Sirindhorn College of Public Health, Phitsanulok, 65130, Thailand.
Nitra NeungchamnongScience Laboratory Centre, Faculty of Science, Naresuan University, Mueang, Phitsanulok, 65000, Thailand.
Ruttanaporn ChantakulBioscreening Unit, Department of Pharmaceutical Chemistry and Pharmacognosy, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, 65000, Thailand.
Neti WaranuchDepartment of Pharmaceutical Technology, Faculty of Pharmaceutical Sciences and Center of Excellence for Innovation in Chemistry, Naresuan University, Phitsanulok, 65000, Thailand. netiw@nu.ac.th.
Naresuan University · THSirindhorn College of Public Health · THThammasat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Androgenic alopecia is a common type of hair loss, usually caused by testosterone metabolism generating dihydrotestosterone and hair follicular micro-inflammation. These processes induce dermal papilla cells to undergo apoptosis. Currently approved effective medications for alopecia are Finasteride, an oral 5α-reductase inhibitor, Minoxidil, a topical hair growth promoter, and Diclofenac, an anti-inflammatory agent, all of which, however, have several adverse side effects. In our study, we showed the bioactivity of Acanthus ebracteatus Vahl. (AE) extract performed by 95% ethanol, and verbascoside (VB), a biomarker of AE extract. Both AE extract and VB were studied for their effects on dermal papilla cell viability and the cell cycle by using MTT assay and flow cytometry. The effect of an anti-inflammatory activity of AE extract and VB on IL-1β, NO, and TNF-α, released from LPS induced RAW 264.7 cells, and IL-1α and IL-6 released from irradiated dermal papilla cells were detected using ELISA technique. The preventive effect on dermal papilla cell apoptosis induced by testosterone was determined by MTT assay. In controlled in vitro assays it was found that AE extract and VB at various concentrations induced dermal papilla cell proliferation which was indicated by an increase in the number of cells in the S and G2/M phases of the cell cycle. AE extract at 250 µg/mL concentration or VB at 62.50 µg/mL concentration prevented cell apoptosis induced by testosterone at a statistically significant level. In addition, both AE extract and VB greatly inhibited the release of pro-inflammatory cytokines from RAW 264.7 and dermal papilla cells. The release of IL-1β, TNF-α, and NO from RAW 264.7 cells, as well as IL-1α and IL-6 from dermal papilla cells, was also diminished by AE extract 250 µg/mL and VB 125 µg/mL. Our results indicate that AE extract and VB are promising ingredients for anti-hair loss applications. However, further clinical study is necessary to evaluate the effectiveness of AE extract and VB as treatment for actual hair loss.

Indexed as

AcanthaceaeAlopeciaAnimalsCell ProliferationDrug Evaluation, PreclinicalGlucosidesHair FollicleHumansMacrophagesMicePhenolsPlant ExtractsPolyphenolsRAW 264.7 CellsacteosideGlucosidesPhenolsPlant ExtractsPolyphenols

Identifiers

PMID35087085
PMCPMC8795396
OpenAlexW4210657793

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.