Evidence map›Paper›PMID 27069807›Full record

ArticlePeerJ2016

Pine polyphenols from Pinus koraiensis prevent injuries induced by gamma radiation in mice.

Hui Li, Zhenyu Wang, Yier Xu, Guicai Sun

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2016. 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
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Development of Cosmetic Emulsions Enriched withInternational journal of molecular sciences · 2026
    Article
  2. Amelioration of radiation-induced liver damage byFood science and biotechnology · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Pharmacognosy magazine
    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

4 authors at 2 institutions in 1 country.

Hui LiSchool of Chemistry and Chemical Engineering, Harbin Institute of Technology , Harbin, Heilongjiang , China.
Zhenyu WangSchool of Chemistry and Chemical Engineering, Harbin Institute of Technology , Harbin, Heilongjiang , China.
Yier XuDepartment of Pharmacology, Pharmaceutical Academy of Harbin Pharmaceutical Group , Harbin, Heilongjiang , China.
Guicai SunDepartment of Orthopaedics, The Fourth Hospital Affiliated to Nanchang University , Nanchang, Jiangxi , China.
Harbin Institute of Technology · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pine polyphenols (PPs) are bioactive dietary constituents that enhance health and help prevent diseases through antioxidants. Antioxidants reduce the level of oxidative damages caused by ionizing radiation (IR). The main purpose of this paper is to study the protective effect of PPs on peripheral blood, liver and spleen injuries in mice induced by IR. ICR (Institute of Cancer Research) male mice were administered orally with PPs (200 mg/kg b.wt.) once daily for 14 consecutive days prior to 7 Gy γ-radiations. PPs showed strong antioxidant activities. PPs significantly increased white blood cells, red blood cells and platelets counts. PPs also significantly reduced lipid peroxidation and increased the activities of superoxide dismutase, catalase and glutathione peroxidases, and the level of glutathione. PPs reduced the spleen morphologic injury. In addition, PPs inhibited mitochondria-dependent apoptosis pathways in splenocytes induced by IR. These results indicate that PPs are radioprotective promising reagents.

Indexed as

AntioxidantApoptosisPine polyphenolsRedoxγ-radiation

Identifiers

PMID27069807
PMCPMC4824883
OpenAlexW2313702871

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.