Evidence map›Paper›PMID 30723253›Full record

ArticleScientific reports2019

Pharmacokinetic-Pharmacodynamic Modeling for Coptisine Challenge of Inflammation in LPS-Stimulated Rats.

Yingfan Hu, Li Wang, Li Xiang, Jiasi Wu, Wen'ge Huang, Chensi Xu, Xianli Meng, Ping Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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 1 institution in 1 country.

Yingfan HuCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, China.
Li WangCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, China.
Li XiangCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, China.
Jiasi WuCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, China.
Wen'ge HuangCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, China.
Chensi XuChengdu Pharmoko Tech Corp., Ltd., Chengdu, 610041, China.
Xianli MengCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, China.
Ping WangCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, China. viviansector@aliyun.com.
Chengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pro-inflammatory factors are important indicators for assessing inflammation severity and drug efficacy. Coptisine has been reported to inhibit LPS-induced TNF-α and NO production. In this study, we aim to build a pharmacokinetic-pharmacodynamic model to quantify the coptisine time course and potency of its anti-inflammatory effect in LPS-stimulated rats. The plasma and lung coptisine concentrations, plasma and lung TNF-α concentrations, plasma NO concentration, and lung iNOS expression were measured in LPS-stimulated rats after intravenous injection of three coptisine doses. The coptisine disposition kinetics were described by a two-compartment model. The coptisine distribution process from the plasma to the lung was described by first-order dynamics. The dynamics of plasma TNF-α generation and elimination followed zero-order kinetics and the Michaelis-Menten equation. A first-order kinetic model described the TNF-α diffusion process from the plasma to the lung. A precursor-pool indirect response model was used to describe the iNOS and NO generation induced by TNF-α. The inhibition rates of TNF-α production by coptisine (54.73%, 26.49%, and 13.25%) calculated from the simulation model were close to the decline rates of the plasma TNF-α AUC (57.27%, 40.33%, and 24.98%, respectively). Coptisine suppressed plasma TNF-α generation in a linear manner, resulting in a cascading reduction of iNOS and NO. The early term TNF-α response to stimulation is a key factor in the subsequent inflammatory cascade. In conclusion, this comprehensive PK-PD model provided a rational explanation for the interlocking relationship among TNF-α, iNOS and NO production triggered by LPS and a quantitative evaluation method for inhibition of TNF-α production by coptisine.

Indexed as

AnimalsAnti-Inflammatory AgentsBerberineLipopolysaccharidesLungMaleModels, BiologicalNitric OxideNitric Oxide Synthase Type IIRatsRats, Sprague-DawleyTumor Necrosis Factor-alphaAnti-Inflammatory AgentsBerberinecoptisineLipopolysaccharidesNitric OxideNitric Oxide Synthase Type IITumor Necrosis Factor-alpha

Identifiers

PMID30723253
PMCPMC6363730
OpenAlexW2913735185

What OpenQuestion holds

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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.