Evidence map›Paper›PMID 28178278›Full record

ArticlePloS one2017

Advances in the quantification of mitochondrial function in primary human immune cells through extracellular flux analysis.

Dequina Nicholas, Elizabeth A Proctor, Forum M Raval, Blanche C Ip, Chloe Habib, Eleni Ritou, Tom N Grammatopoulos, Devin Steenkamp, Hans Dooms, Caroline M Apovian and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

53 citing papers in PubMed, 80 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

12 authors at 3 institutions in 1 country.

Dequina NicholasDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
Elizabeth A ProctorDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Forum M RavalDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
Blanche C IpDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
Chloe HabibDepartment of Medicine, Boston University School of Medicine, Boston, MA, United States of America.
Eleni RitouBioEnergetics LLC, Boston, MA, United States of America.
Tom N GrammatopoulosBioEnergetics LLC, Boston, MA, United States of America.
Devin SteenkampDepartment of Medicine, Boston University School of Medicine, Boston, MA, United States of America.
Hans DoomsDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
Caroline M ApovianDepartment of Medicine, Boston University School of Medicine, Boston, MA, United States of America.
Douglas A LauffenburgerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Barbara S NikolajczykDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.ORCID http://orcid.org/0000-0001-5647-5740
Boston University · USBioEnergetics (United States) · USMassachusetts Institute of Technology · US

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
TRAINING PROGRAM IN ENDOCRINE AND METABOLIC RESEARCHT32DK007201 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CORKEY, BARBARA E., KANDROR, KONSTANTIN V · 1986 to 2023
$6.4M
Uncoupling obesity from breast cancer in African American womenU01CA182898 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DENIS, GERALD V, PALMER, JULIE R · 2013 to 2017
$3.1M
Boston University Inflammatory Disorders Training GrantT32AI089673 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WETZLER, LEE MARK · 2011 to 2015
$1.4M
NCI NIH HHS U01 CA182898NIAID NIH HHS T32 AI089673NIDDK NIH HHS T32 DK007201
6 · The paper itself

Abstract

Numerous studies show that mitochondrial energy generation determines the effectiveness of immune responses. Furthermore, changes in mitochondrial function may regulate lymphocyte function in inflammatory diseases like type 2 diabetes. Analysis of lymphocyte mitochondrial function has been facilitated by introduction of 96-well format extracellular flux (XF96) analyzers, but the technology remains imperfect for analysis of human lymphocytes. Limitations in XF technology include the lack of practical protocols for analysis of archived human cells, and inadequate data analysis tools that require manual quality checks. Current analysis tools for XF outcomes are also unable to automatically assess data quality and delete untenable data from the relatively high number of biological replicates needed to power complex human cell studies. The objectives of work presented herein are to test the impact of common cellular manipulations on XF outcomes, and to develop and validate a new automated tool that objectively analyzes a virtually unlimited number of samples to quantitate mitochondrial function in immune cells. We present significant improvements on previous XF analyses of primary human cells that will be absolutely essential to test the prediction that changes in immune cell mitochondrial function and fuel sources support immune dysfunction in chronic inflammatory diseases like type 2 diabetes.

Indexed as

Energy MetabolismImmunityAlgorithmsBiomarkersDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Extracellular SpaceHumansLymphocytesMetabolomeMetabolomicsMitochondriaOxygen ConsumptionBiomarkers

Identifiers

PMID28178278
PMCPMC5298256
OpenAlexW2587210786

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.