Evidence map›Paper›PMID 33025359›Full record

ArticleNeurotoxicity research2021

A New Perspective on Ameliorating Depression-Like Behaviors: Suppressing Neuroinflammation by Upregulating PGC-1α.

Xinxin Fu, Jie Jiao, Tingting Qin, Jiayu Yu, Qiang Fu, Xueyang Deng, Shiping Ma, Zhanqiang Ma

Abstract read
PubMed Publisher
In one paragraph

Article in Neurotoxicity research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  12. Pharmacological Effects of Astragaloside IV: A Review.Molecules (Basel, Switzerland) · 2023
    Review
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  18. 5-HTFrontiers in pharmacology · 2022
    Article
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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

8 authors at 2 institutions in 1 country.

Xinxin FuDepartment of Pharmacology of Chinese Materia Medica, China Pharmaceutical University, 639, Longmian Road, Nanjing, 211198, People's Republic of China.
Jie JiaoDepartment of Pharmacology of Chinese Materia Medica, China Pharmaceutical University, 639, Longmian Road, Nanjing, 211198, People's Republic of China.
Tingting QinDepartment of Pharmacology of Chinese Materia Medica, China Pharmaceutical University, 639, Longmian Road, Nanjing, 211198, People's Republic of China.
Jiayu YuDepartment of Pharmacology of Chinese Materia Medica, China Pharmaceutical University, 639, Longmian Road, Nanjing, 211198, People's Republic of China.
Qiang FuDepartment of Pharmacology of Chinese Materia Medica, China Pharmaceutical University, 639, Longmian Road, Nanjing, 211198, People's Republic of China.
Xueyang DengDepartment of Pharmacology of Chinese Materia Medica, China Pharmaceutical University, 639, Longmian Road, Nanjing, 211198, People's Republic of China.
Shiping MaDepartment of Pharmacology of Chinese Materia Medica, China Pharmaceutical University, 639, Longmian Road, Nanjing, 211198, People's Republic of China. spma@cpu.edu.cn.
Zhanqiang MaDepartment of Pharmacology of Chinese Materia Medica, China Pharmaceutical University, 639, Longmian Road, Nanjing, 211198, People's Republic of China. mazhanqiang0427@163.com.
China Pharmaceutical University · CNAnkang University · CN

Funding

National Natural Science Foundation of China 81573701National Natural Science Foundation of China 81703735
6 · The paper itself

Abstract

Inflammation plays an important role in depression pathology, making it a promising target for ameliorating depression-like behaviors. The peroxisome proliferator-activated receptor gamma coactivator-1 alpha (PGC-1α) is a transcriptional coactivator being able to constrain inflammatory events through NF-κB signaling. However, the role of PGC-1α in depression is not yet clear. This study was designed to investigate the role of PGC-1α in depression and explore the underlying mechanisms. Mice modeled with chronic unpredictable mild stimulation (CUMS) were explored for the relationship between depression-like behaviors and PGC-1α. Baicalin was used to evaluate the effect regulating PGC-1α. Furthermore, the anti-neuroinflammatory effect of baicalin was investigated both in BV2-SH-SY5Y co-culture system and in mice by LPS challenge. The role of PGC-1α in neuroinflammation was explored in cell co-culture systems under gene silencing conditions targeting NF-κB signaling. We found that the expression of PGC-1α was inhibited in the hippocampus of mice exposed to CUMS or LPS, while baicalin could increase the expression of PGC-1α and alleviate the depression-like behaviors. Furthermore, baicalin attenuated neuroinflammation in the hippocampus of mice and BV2-SH-SY5Y co-culture system by LPS challenge via regulating NF-κB signaling; however, knockdown of the PGC-1α could reverse the effect of baicalin on neuroinflammation and NF-κB signaling. Our results revealed a vital role for PGC-1α in attenuating neuroinflammation in depression, indicating that PGC-1α might be a therapeutic target for depression.

Indexed as

AnimalsAnti-Inflammatory Agents, Non-SteroidalCell Line, TumorDepressionDose-Response Relationship, DrugFlavonoidsHindlimb SuspensionHippocampusHumansInflammationInflammation MediatorsMaleMiceMice, Inbred ICRPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaUp-RegulationAnti-Inflammatory Agents, Non-SteroidalbaicalinFlavonoidsInflammation MediatorsPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPpargc1a protein, mouseBaicalinDepressionNeuroinflammationPGC-1α/NF-κB pathway

Identifiers

PMID33025359
OpenAlexW3092305356

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.