Evidence map›Paper›PMID 28741063›Full record

ArticleChinese journal of integrative medicine2018

Effects of Astragalus Polysaccharide on Mechanical Characterization of Liver Sinusoidal Endothelial Cells by Atomic Force Microscopy at Nanoscale.

Wen-Liang Lu, Juan-Mei Li, Jiao Yang, Chen-Guang Xu, Sha-Sha Zhang, Jie Yan, Ting-Ting Zhang, Hui-Hui Zhao

Abstract read
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In one paragraph

Article in Chinese journal of integrative medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Astragalus polysaccharide ameliorates diabetic retinopathy by inhibiting the SHH-Gli1-AQP1 signaling pathway in streptozotocin-induced type 2 diabetic rats.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Article
  2. Frontiers in pharmacology · 2022
    Review
  3. Review
  4. 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

8 authors at 5 institutions in 1 country.

Wen-Liang LuDepartment of Liver Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Juan-Mei LiDepartment of Liver Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China. juanmeili2012@126.com.
Jiao YangDepartment of Liver Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Chen-Guang XuDepartment of Traditional Chinese Medicine, The First People's Hospital of Huzhou, Huzhou, Zhejiang Province, 313000, China.
Sha-Sha ZhangDepartment of Traditional Chinese Medicine, The First People's Hospital of Yuhang District, Hangzhou, 311100, China.
Jie YanDepartment of Liver Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Ting-Ting ZhangDepartment of Liver Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Hui-Hui ZhaoDepartment of Traditional Chinese Medicine, Ningxia People's Hospital, Yinchuan, 750021, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNFirst People's Hospital of Yuhang District · CNGuang’anmen Hospital · CNNingxia Hui Autonomous Region Peoples Hospital · CNThird People's Hospital of Huzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the effects of Astragalus polysaccharide (APS), the primary effective component of the Chinese herb medicine Astragalus membranaceus (frequently used for its anti-hepatic fibrosis effects), on nanoscale mechanical properties of liver sinusoidal endothelial cells (SECs).

methodsUsing endothelial cell medium as the control, 5 experimental groups were established utilizing different concentrations of APS, i.e. 12.5, 25, 50, 100, and 200 μg/mL. By using atomic force microscopy along with a microcantilever modified with a silicon dioxide microsphere as powerful tools, the value of Young's modulus in each group was calculated. SAS 9.1 software was applied to analyze the values of Young's modulus at the pressed depth of 300 nm. Environmental scanning electron microscopy was performed to observe the surface microtopography of the SECs.

resultsThe value of Young's modulus in each APS experimental group was significantly greater than that of the control group: as APS concentration increased, the value of Young's modulus presented as an increasing trend. The difference between the low-concentration (12.5 and 25 μg/mL) and high-concentration (200 μg/mL) groups was statistically significant (P<0.05), but no significant differences were observed between moderateconcentration (50 and 100 μg/mL) groups versus low- or high-concentration groups (P>0.05). Surface topography demonstrated that APS was capable of increasing the total area of fenestrae.

conclusionsThe values of Young's modulus increased along with increasing concentrations of APS, suggesting that the stiffness of SECs increases gradually as a function of APS concentration. The observed changes in SEC mechanical properties may provide a new avenue for mechanistic research of anti-hepatic fibrosis treatments in Chinese medicine.

Indexed as

Microscopy, Atomic ForceNanotechnologyAnimalsAstragalus PlantBiomechanical PhenomenaElastic ModulusEndothelial CellsLiverMicrospheresPolysaccharidesRatsSilicon DioxideSurface PropertiesPolysaccharidesSilicon DioxideAstragalus polysaccharideatomic force microscopeChinese medicineliver sinusoidal endothelial cellnanoscaleYoung's modulus

Identifiers

PMID28741063
OpenAlexW2739238889

What OpenQuestion holds

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Registered trials

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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.