Evidence map›Paper›PMID 36711938›Full record

ArticlebioRxiv : the preprint server for biology2023

MitoQuicLy: a high-throughput method for quantifying cell-free DNA from human plasma, serum, and saliva.

Jeremy Michelson, Shannon Rausser, Amanda Peng, Temmie Yu, Gabriel Sturm, Caroline Trumpff, Brett A Kaufman, Alex J Rai, Martin Picard

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Jeremy MichelsonDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA.
Shannon RausserDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA.
Amanda PengDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA.
Temmie YuDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA.
Gabriel SturmDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, USA.
Caroline TrumpffDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA.
Brett A KaufmanCenter for Metabolism and Mitochondrial Medicine and the Vascular Medicine Institute, Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine.
Alex J RaiDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA.
Martin PicardDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA.
Columbia University Irving Medical Center · USUniversity of California, San Francisco · USUniversity of Pittsburgh · US

Funding

Transduction of Psychological Stress into Systematic Inflammation by Mitochondrial DNA SignalingR01MH119336 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI KAUFMAN, BRETT A, MARSLAND, ANNA L · 2019 to 2023
$3.4M
NIMH NIH HHS R01 MH119336
6 · The paper itself

Abstract

Circulating cell-free mitochondrial DNA (cf-mtDNA) is an emerging biomarker of psychobiological stress and disease which predicts mortality and is associated with various disease states. To evaluate the contribution of cf-mtDNA to health and disease states, standardized high-throughput procedures are needed to quantify cf-mtDNA in relevant biofluids. Here, we describe MitoQuicLy: Mito chondrial DNA Qu antification in c ell-free samples by Ly sis. We demonstrate high agreement between MitoQuicLy and the commonly used column-based method, although MitoQuicLy is faster, cheaper, and requires a smaller input sample volume. Using 10 µL of input volume with MitoQuicLy, we quantify cf-mtDNA levels from three commonly used plasma tube types, two serum tube types, and saliva. We detect, as expected, significant inter-individual differences in cf-mtDNA across different biofluids. However, cf-mtDNA levels between concurrently collected plasma, serum, and saliva from the same individual differ on average by up to two orders of magnitude and are poorly correlated with one another, pointing to different cf-mtDNA biology or regulation between commonly used biofluids in clinical and research settings. Moreover, in a small sample of healthy women and men (n=34), we show that blood and saliva cf-mtDNAs correlate with clinical biomarkers differently depending on the sample used. The biological divergences revealed between biofluids, together with the lysis-based, cost-effective, and scalable MitoQuicLy protocol for biofluid cf-mtDNA quantification, provide a foundation to examine the biological origin and significance of cf-mtDNA to human health.

Identifiers

PMID36711938
PMCPMC9882007
OpenAlexW4313490302

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.