Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 580

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

An insight into anti-inflammatory effects of natural polysaccharides

Hou, Chunyan, Chen, Lili, Yang, Liuzhi, Ji, Xiaolong·2020·International Journal of Biological Macromolecules

Abstract

Inflammation is the first response of the body's immune system to injury, infection and stress. Chronic inflammation has close relationship with many diseases, such as arthritis, atherosclerosis and cancer. The traditional therapy strategy of inflammation mainly involves steroid and non-steroid anti-inflammatory drugs, both of which have increasingly prominent side-effects which cannot be ignored. Polysaccharides extracted from natural sources have attracted extensive attention in recent years owing to their safety, accessibility and potent anti-inflammatory activities, but systematic introduction about their function in anti-inflammation is still absent. So here, we summarized the recent reports of natural polysaccharides with anti-inflammatory effects, mainly focusing on the various pharmacological mechanisms and targets involved. The structure-anti-inflammatory activity relationships are also discussed in detail. It is supposed that our review will benefit the understanding of the value of polysaccharides in anti-inflammation and further provide guidance for the development and application of novel anti-inflammatory agents in clinic.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ijbiomac.2020.02.315

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 55 references

Cited by

See all 580

Metadata

Authors
Hou, C., Chen, L., Yang, L., & Ji, X.
Venue
International Journal of Biological Macromolecules
Publisher
Elsevier BV
Published
2020-06
Volume
153
Pages
248-255
ISSN
0141-8130 (ISSN-L)
OpenAlex
W3007413348
Cited by
580
References
55
FWCI
32.32
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: An insight into anti-inflammatory effects of natural polysaccharides. https://app.cochat.ai/papers/10.1016/j.ijbiomac.2020.02.315
The paper
Hou, C., Chen, L., Yang, L., & Ji, X. (2020). An insight into anti-inflammatory effects of natural polysaccharides. International Journal of Biological Macromolecules. https://doi.org/10.1016/j.ijbiomac.2020.02.315

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.