Evidence map›Paper›PMID 33004787›Full record

ArticleNature communications2020

Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California.

M Reza Sailani, Ahmed A Metwally, Wenyu Zhou, Sophia Miryam Schüssler-Fiorenza Rose, Sara Ahadi, Kevin Contrepois, Tejaswini Mishra, Martin Jinye Zhang, Łukasz Kidziński, Theodore J Chu and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Vitamins DFrontiers in immunology · 2022
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  19. Exploring human biology with N-of-1 clinical trials.Cambridge prisms. Precision medicine · 2023
    Article
  20. Article
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

11 authors.

M Reza Sailani *Department of Genetics, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0003-3054-8838
Ahmed A Metwally *Department of Genetics, Stanford University, Stanford, CA, 94305, USA.
Wenyu ZhouDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA.
Sophia Miryam Schüssler-Fiorenza RoseDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA.
Sara AhadiDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA.
Kevin ContrepoisDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0001-9678-5161
Tejaswini MishraDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0001-9931-1260
Martin Jinye ZhangDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0003-0006-2466
Łukasz KidzińskiDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0002-0986-3078
Theodore J ChuDepartment of Pediatrics, Division of Allergy and Immunology, Stanford University, Stanford, CA, 94305, USA.
Michael P SnyderDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA. mpsnyder@stanford.edu.ORCID http://orcid.org/0000-0003-0784-7987

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Longitudinal Multiomics Microbial Profiling in Healthy and Disease IndividualsU54DK102556 · NIDDK · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P., WEINSTOCK, GEORGE M · 2014 to 2015
$7.7M
Longitudinal Multi-Omic Profiles to Reveal Mechanisms of Obesity-Mediated Insulin ResistanceR01DK110186 · NIDDK · STANFORD UNIVERSITY · PI MCLAUGHLIN, TRACEY, SNYDER, MICHAEL P. · 2017 to 2021
$3.2M
Algorithms and Software for Provably Accurate De Novo RNA-Seq AssemblyR01HG008164 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI KANNAN, SREERAM, PACHTER, LIOR S · 2015 to 2017
$1.4M
Integrating the Exposome into Longitudinal Multiomics ProfilingK08ES028825 · NIEHS · STANFORD UNIVERSITY · PI ROSE, SOPHIA MIRYAM SCHÜSSLER-FIORENZA · 2018 to 2022
$1.0M
High-throughput sequencer for multi-scale genomic studiesS10OD020141 · OD · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2015 to 2015
$600k
NCATS NIH HHS UL1 TR001085NHGRI NIH HHS R01 HG008164NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK110186NIDDK NIH HHS U54 DK102556NIEHS NIH HHS K08 ES028825NIH HHS S10 OD020141
6 · The paper itself

Abstract

The influence of seasons on biological processes is poorly understood. In order to identify biological seasonal patterns based on diverse molecular data, rather than calendar dates, we performed a deep longitudinal multiomics profiling of 105 individuals over 4 years. Here, we report more than 1000 seasonal variations in omics analytes and clinical measures. The different molecules group into two major seasonal patterns which correlate with peaks in late spring and late fall/early winter in California. The two patterns are enriched for molecules involved in human biological processes such as inflammation, immunity, cardiovascular health, as well as neurological and psychiatric conditions. Lastly, we identify molecules and microbes that demonstrate different seasonal patterns in insulin sensitive and insulin resistant individuals. The results of our study have important implications in healthcare and highlight the value of considering seasonality when assessing population wide health risk and management.

Indexed as

Environmental ExposureSeasonsAdultAgedBlood GlucoseCaliforniaCluster AnalysisFemaleHealth StatusHumansInsulinInsulin ResistanceLongitudinal StudiesMaleMetabolic Networks and PathwaysMetabolomicsBlood GlucoseInsulin

Identifiers

PMID33004787
PMCPMC7529769

What OpenQuestion holds

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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.