Evidence map›Paper›PMID 30909011›Full record

ArticleBiosensors & bioelectronics2019

Design of a multi-sensor platform for integrating extracellular acidification rate with multi-metabolite flux measurement for small biological samples.

Yusra M Obeidat, Ming-Hao Cheng, Giovana Catandi, Elaine Carnevale, Adam J Chicco, Thomas W Chen

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

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  13. Nicotinamide riboside, an NADLaboratory investigation; a journal of technical methods and pathology · 2021
    Article
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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

6 authors at 1 institution in 2 countries.

Yusra M ObeidatDepartment of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA; Electronic Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid P.O. Box 21163, Jordan.
Ming-Hao ChengDepartment of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Giovana CatandiDepartment of Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Elaine CarnevaleDepartment of Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Adam J ChiccoDepartment of Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA; School of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Thomas W ChenDepartment of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA; School of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA. Electronic address: thomas.chen@colostate.edu.
Colorado State University · US

Funding

Integrative metabolism of oocyte development and its modulation by maternal dietR21HD097601 · NICHD · COLORADO STATE UNIVERSITY · PI CHICCO, ADAM J · 2018 to 2019
$402k
NICHD NIH HHS R21 HD097601
6 · The paper itself

Abstract

Rates of cellular oxygen consumption (OCR) and extracellular acidification (ECAR) are widely used proxies for mitochondrial oxidative phosphorylation (OXPHOS) and glycolytic rate in cell metabolism studies. However, ECAR can result from both oxidative metabolism (carbonic acid formation) and glycolysis (lactate release), potentially leading to erroneous conclusions about metabolic substrate utilization. Co-measurement of extracellular glucose and lactate flux along with OCR and ECAR can improve the accuracy and provide better insight into cellular metabolic processes but is currently not feasible with any commercially available instrumentation. Herein, we present a miniaturized multi-sensor platform capable of real-time monitoring of OCR and ECAR along with extracellular lactate and glucose flux for small biological samples such as single equine embryos. This multiplexed approach enables validation of ECAR resulting from OXPHOS versus glycolysis, and expression of metabolic flux ratios that provide further insight into cellular substrate utilization. We demonstrate expected shifts in embryo metabolism during development and in response to OXPHOS inhibition as a model system for monitoring metabolic plasticity in very small biological samples. Furthermore, we also present a preliminary interference analysis of the multi-sensor platform to allow better understanding of sensor interference in the proposed multi-sensor platform. The capability of the platform is illustrated with measurements of multi-metabolites of single-cell equine embryos for assisted reproduction technologies. However, this platform has a wide potential utility for analyzing small biological samples such as single cells and tumor biopsies for immunology and cancer research applications.

Indexed as

Biosensing TechniquesEnergy MetabolismOxidative PhosphorylationOxygen ConsumptionAnimalsCell LineCell RespirationGlucoseGlycolysisHorsesHumansMitochondriaSingle-Cell AnalysisGlucoseAcidification rateClark oxygenEquine embryoGlucoseInterferenceLactateMulti-sensorsSensor

Identifiers

PMID30909011
PMCPMC6660976
OpenAlexW2922461522

What OpenQuestion holds

Textmetadata
LicenceTDM
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.