Evidence map›Paper›PMID 27472375›Full record

ArticleMetabolites2016

Deciphering the Duality of Clock and Growth Metabolism in a Cell Autonomous System Using NMR Profiling of the Secretome.

Arjun Sengupta, Saikumari Y Krishnaiah, Seth Rhoades, Jacqueline Growe, Barry Slaff, Anand Venkataraman, Anthony O Olarerin-George, Chi Van Dang, John B Hogenesch, Aalim M Weljie

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Metabolites, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04572269 (Metabolomics of Obstructive Sleep Apnea), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 31% 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.

NCT04572269 completednot on this mapstarted 2020, after this paper: background citation

Metabolomics of Obstructive Sleep Apnea

TypeobservationalSponsorUniversity of PennsylvaniaRan2020 to 2025Enrolled388ConditionsObstructive Sleep ApneaArmsNo Intervention
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Circadian and Sleep Metabolomics Across Species.Journal of molecular biology · 2020
    Review
  3. NMR Spectroscopy-Based Metabolic Profiling of Biospecimens.Current protocols in protein science · 2019
    Article
  4. ContinuousFrontiers in molecular biosciences · 2019
    Article
  5. Time is ripe: maturation of metabolomics in chronobiology.Current opinion in biotechnology · 2017
    Review
  6. Review
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

10 authors at 2 institutions in 1 country.

Arjun SenguptaDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. arjunsen@upenn.edu.
Saikumari Y KrishnaiahDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. yksaikumari@gmail.com.
Seth RhoadesDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. srhoades@mail.med.upenn.edu.
Jacqueline GroweDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. jgrowe0923@gmail.com.
Barry SlaffDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. barry.slaff@gmail.com.
Anand VenkataramanDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. anandven22@gmail.com.
Anthony O Olarerin-GeorgeDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. olarerin@gmail.com.
Chi Van DangAbramson Family Cancer Research Institute, Perelman Schol of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. dangvchi@exchange.upenn.edu.
John B HogeneschDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. hogenesch@gmail.com.
Aalim M WeljieDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. aalim@upenn.edu.
Translational Therapeutics (United States) · USCancer Research Institute · US

Funding

Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Molecular, Cellular and Physiological Mechanisms of the Mammalian Circadian ClockR01NS054794 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI HOGENESCH, JOHN B, LIU, ANDREW C. · 2007 to 2022
$8.1M
MYC--TRANSCRIPTION AND INTERACTION WITH P107R01CA051497 · NCI · WISTAR INSTITUTE · PI DANG, CHI V. · 1995 to 2025
$5.3M
NCI NIH HHS R01 CA051497NHGRI NIH HHS T32 HG000046NINDS NIH HHS R01 NS054794
6 · The paper itself

Abstract

Oscillations in circadian metabolism are crucial to the well being of organism. Our understanding of metabolic rhythms has been greatly enhanced by recent advances in high-throughput systems biology experimental techniques and data analysis. In an in vitro setting, metabolite rhythms can be measured by time-dependent sampling over an experimental period spanning one or more days at sufficent resolution to elucidate rhythms. We hypothesized that cellular metabolic effects over such a time course would be influenced by both oscillatory and circadian-independent cell metabolic effects. Here we use nuclear magnetic resonance (NMR) spectroscopy-based metabolic profiling of mammalian cell culture media of synchronized U2 OS cells containing an intact transcriptional clock. The experiment was conducted over 48 h, typical for circadian biology studies, and samples collected at 2 h resolution to unravel such non-oscillatory effects. Our data suggest specific metabolic activities exist that change continuously over time in this settting and we demonstrate that the non-oscillatory effects are generally monotonic and possible to model with multivariate regression. Deconvolution of such non-circadian persistent changes are of paramount importance to consider while studying circadian metabolic oscillations.

Indexed as

circadian oscillationsdetrendingmetabolomicsNMR spectroscopyU2 OS

Identifiers

PMID27472375
PMCPMC5041122
OpenAlexW2481160439

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.