Evidence map›Paper›PMID 32560675›Full record

ArticleBMC microbiology2020

Immune activation of murine RAW264.7 macrophages by sonicated and alkalized paramylon from Euglena gracilis.

Qingqing Guo, Decheng Bi, Mingcan Wu, Boming Yu, Lang Hu, Chenchen Liu, Liang Gu, Hui Zhu, Anping Lei, Xu Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Review
  3. SC2-3, a Marine Nutrient Glycopeptide fromFoods (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Fecal Microbiota Transplantation Attenuated Inflammation Through TGF-β1/Smad Signaling Pathway in Caco-2 and RAW264.7 Cells.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Nutrients · 2024
    Article
  10. Evaluation of the Effects ofJournal of microbiology and biotechnology · 2023
    Article
  11. Article
  12. Life (Basel, Switzerland) · 2022
    Review
  13. Immunoenhancing Effects ofJournal of microbiology and biotechnology · 2022
    Article
  14. Review
  15. Article
  16. Paramylon fromFrontiers in immunology · 2021
    Article
  17. Frontiers in bioengineering and biotechnology · 2021
    Article
  18. Metabolic Responses of a Model Green MicroalgaFrontiers in bioengineering and biotechnology · 2021
    Article
  19. 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 2 institutions in 1 country.

Qingqing GuoShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Decheng BiShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Mingcan WuShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Boming YuShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Lang HuShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Chenchen LiuShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Liang GuShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Hui ZhuCollege of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, 521041, China.
Anping LeiShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Xu XuShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China. xuxu@szu.edu.cn.
Jiangxin WangShenzhen Key Laboratory of Marine Bioresources and Eco-environmental Science, Shenzhen Engineering Laboratory for Marine Algal Biotechnology, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China. jxwang@szu.edu.cn.
Shenzhen University · CNHanshan Normal University · CN

Funding

National Natural Science Foundation of China 31670116National Natural Science Foundation of China 31871734
6 · The paper itself

Abstract

backgroundEuglena is a new super health food resource that is rich in the natural polysaccharide paramylon, a linear β-1,3-glucan with various biological activities including activity on the immune system in different cell lines and animals. Despite these reports, the immune regulation mechanism of paramylon is still unclear.

resultsWe investigate the signaling pathways paramylon impacts in immune macrophages. In RAW264.7 macrophages, sonicated and alkalized paramylon oligomers up-regulated inducible nitric oxide synthase (iNOS) and increased secretion of nitric oxide (NO), interleukin (IL)-6 and tumor necrosis factor (TNF)-α, in a concentration-dependent manner. In addition, paramylon activated the nuclear factor-κB(NF-κB) and mitogen-activated protein kinase (MAPK) signaling pathways and inhibiting these pathways attenuated the paramylon-induced secretion of the above immune-mediators.

conclusionsThese results demonstrate that Euglena gracilis paramylon modulates the immune system via activation of the NF-κB and MAPK signaling pathways and thus has potential therapeutic benefits.

Indexed as

AnimalsDose-Response Relationship, DrugEuglena gracilisGlucansInterleukin-6Macrophage ActivationMacrophagesMiceMitogen-Activated Protein KinasesNF-kappa BNitric Oxide Synthase Type IIRAW 264.7 CellsSignal TransductionSonicationTumor Necrosis Factor-alphaGlucansInterleukin-6interleukin-6, mouseMitogen-Activated Protein KinasesNF-kappa BNitric Oxide Synthase Type IINos2 protein, mouseparamylonTnf protein, mouseTumor Necrosis Factor-alphaEuglena gracilisImmune activationMacrophagesMitogen-activated protein kinaseNuclear factor-κBParamylon

Identifiers

PMID32560675
PMCPMC7304158
OpenAlexW3036965479

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.