Evidence map›Paper›PMID 32525922›Full record

ArticlePloS one2020

Determination of metformin bio-distribution by LC-MS/MS in mice treated with a clinically relevant paradigm.

Kiran Chaudhari, Jianmei Wang, Yong Xu, Ali Winters, Linshu Wang, Xiaowei Dong, Eric Y Cheng, Ran Liu, Shao-Hua Yang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 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

9 authors at 2 institutions in 1 country.

Kiran ChaudhariDepartment of Pharmacology and Neuroscience, Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Jianmei WangPharmaceutical analysis core lab, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Yong XuDepartment of Pharmacology and Neuroscience, Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Ali WintersDepartment of Pharmacology and Neuroscience, Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Linshu WangDepartment of Pharmacology and Neuroscience, Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Xiaowei DongPharmaceutical Sciences, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Eric Y ChengPharmaceutical Sciences, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Ran LiuDepartment of Pharmacology and Neuroscience, Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
Shao-Hua YangDepartment of Pharmacology and Neuroscience, Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, Texas, United States of America.
University of North Texas Health Science Center · USUniversity of North Texas · US

Funding

Post stroke cognitive impairment: mechanism and therapyRF1NS109583 · NINDS · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI YANG, SHAOHUA · 2019 to 2019
$2.2M
Neuroglobin: cell metabolism and neuroprotectionR01NS088596 · NINDS · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI YANG, SHAOHUA · 2014 to 2018
$1.6M
NINDS NIH HHS R01 NS088596NINDS NIH HHS RF1 NS109583
6 · The paper itself

Abstract

Metformin, an anti-diabetes drug, has been recently emerging as a potential "anti-aging" intervention based on its reported beneficial actions against aging in preclinical studies. Nonetheless, very few metformin studies using mice have determined metformin concentrations and many effects of metformin have been observed in preclinical studies using doses/concentrations that were not relevant to therapeutic levels in human. We developed a liquid chromatography-tandem mass spectrometry protocol for metformin measurement in plasma, liver, brain, kidney, and muscle of mice. Young adult male and female C57BL/6 mice were voluntarily treated with metformin of 4 mg/ml in drinking water which translated to the maximum dose of 2.5 g/day in humans. A clinically relevant steady-state plasma metformin concentrations were achieved at 7 and 30 days after treatment in male and female mice. Metformin concentrations were slightly higher in muscle than in plasma, while, ~3 and 6-fold higher in the liver and kidney than in plasma, respectively. Low metformin concentration was found in the brain at ~20% of the plasma level. Furthermore, gender difference in steady-state metformin bio-distribution was observed. Our study established steady-state metformin levels in plasma, liver, muscle, kidney, and brain of normoglycemic mice treated with a clinically relevant dose, providing insight into future metformin preclinical studies for potential clinical translation.

Indexed as

AnimalsBrainChromatography, LiquidFemaleKidneyLiverMaleMetforminMiceMice, Inbred C57BLMusclesTandem Mass SpectrometryTissue DistributionMetformin

Identifiers

PMID32525922
PMCPMC7289415
OpenAlexW3035093695

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.