Evidence map›Paper›PMID 38322161›Full record

ArticleIranian journal of medical sciences2024

Mona Soltani, Reza Fotovat, Mohsen Sharifi, Najmeh Ahmadian Chashmi, Mehrdad Behmanesh

Abstract read
In one paragraph

Article in Iranian journal of medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

5 authors.

Mona SoltaniDepartment of Plant Production and Genetics, School of Agriculture, University of Zanjan, Zanjan, Iran.
Reza FotovatDepartment of Plant Production and Genetics, School of Agriculture, University of Zanjan, Zanjan, Iran.
Mohsen SharifiDepartment of Plant Biology, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Najmeh Ahmadian ChashmiInterfaculty Institute of Biochemistry, Hoppe-Seyler-Str. 4, 72076, Tübingen, Germany.
Mehrdad BehmaneshDepartment of Genetics, School of Biological Sciences, Tarbiat Modares University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Herbal medicines are the preferred anticancer agents due to their lower cytotoxic effects on healthy cells. Plant lignans play an important role in treating various diseases, especially cancer. The present study aimed to evaluate the effect of podophyllotoxin, pinoresinol, and lariciresinol on cellular toxicity and inducing apoptosis in fibroblasts, HEK-293, and SkBr3 cell lines. Methods: An Results: Podophyllotoxin significantly increased apoptosis in fibroblast cells compared to pinoresinol and lariciresinol (P<0.001). The percentage of cell viability of fibroblast cells treated for 48 hours with pinoresinol, lariciresinol, and podophyllotoxin was reduced by 49%, 47%, and 36%, respectively. Treatment with pinoresinol and lariciresinol significantly overexpressed pro-apoptotic genes and underexpressed anti-apoptotic genes in SkBr3 cells (P<0.001). SkBr3 cells treated with lariciresinol significantly reduced gene expression (P<0.001). Conclusion: Pinoresinol and lariciresinol can potentially be used as new therapeutic agents for the treatment of breast cancer.

Indexed as

Antineoplastic AgentsBreast NeoplasmsFuransLignansFemaleHEK293 CellsHumansIranOxidoreductasesPodophyllotoxinAntineoplastic AgentsFuranslariciresinolLignansOxidoreductasespinoresinolPodophyllotoxinApoptosisBreast neoplasmsCell viabilityLignansNatural products

Identifiers

PMID38322161
PMCPMC10839140

What Socratic holds

Textmetadata
LicenceCC BY-ND
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 Socratic graph.