Evidence map›Paper›PMID 31500170›Full record

ArticleMolecules (Basel, Switzerland)2019

Carbon Nanoparticles Inhibit Α-Glucosidase Activity and Induce a Hypoglycemic Effect in Diabetic Mice.

Taili Shao, Pingchuan Yuan, Lei Zhu, Honggang Xu, Xichen Li, Shuguang He, Ping Li, Guodong Wang, Kaoshan Chen

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Food science & nutrition · 2026
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  7. Effects of NORSC advances · 2023
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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

9 authors at 1 institution in 1 country.

Taili ShaoAnhui Provincial Engineering Research Center for Polysaccharide Drugs, Wuhu 241002, China.
Pingchuan YuanAnhui Provincial Engineering Research Center for Polysaccharide Drugs, Wuhu 241002, China.
Lei ZhuAnhui Provincial Engineering Research Center for Polysaccharide Drugs, Wuhu 241002, China.
Honggang XuDrug Research & Development Center, School of Pharmacy, Wannan Medical College, Wuhu 241002, China.
Xichen LiDrug Research & Development Center, School of Pharmacy, Wannan Medical College, Wuhu 241002, China.
Shuguang HeAnhui Provincial Engineering Research Center for Polysaccharide Drugs, Wuhu 241002, China.
Ping LiAnhui Provincial Engineering Research Center for Polysaccharide Drugs, Wuhu 241002, China.
Guodong WangAnhui Provincial Engineering Research Center for Polysaccharide Drugs, Wuhu 241002, China. guodong201@csu.edu.cn.
Kaoshan ChenAnhui Provincial Engineering Research Center for Polysaccharide Drugs, Wuhu 241002, China. ksc313@126.com.
Wannan Medical College · CN

Funding

the Natural Science Foundation of Education Department of Anhui Province KJ2017A257, KJ2018ZD025 and KJ2018A0255
6 · The paper itself

Abstract

New, improved therapies to reduce blood glucose are required for treating diabetes mellitus (DM). Here, we investigated the use of a new nanomaterial candidate for DM treatment, carbon nanoparticles (CNPs). CNPs were prepared by carbonization using a polysaccharide from

Indexed as

alpha-GlucosidasesAnimalsBlood GlucoseCarbohydrate MetabolismCarbonDiabetes Mellitus, ExperimentalDisease Models, AnimalGlycoside Hydrolase InhibitorsHumansHypoglycemiaMiceMice, Inbred NODNanoparticlesSpectroscopy, Fourier Transform Infraredalpha-GlucosidasesBlood GlucoseCarbonGlycoside Hydrolase InhibitorsArctium lappa L. rootcarbon nanoparticlesdiabetes mellitushypoglycemiapolysaccharide

Identifiers

PMID31500170
PMCPMC6767295
OpenAlexW2972182444

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.