ArticlebioRxiv : the preprint server for biology2024
Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments.
Tong Wang, Yuanqing Fu, Menglei Shuai, Ju-Sheng Zheng, Lu Zhu, Andrew T Chan, Qi Sun, Frank B Hu, Scott T Weiss, Yang-Yu Liu
Abstract readPreprint
In one paragraphArticle in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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2 · The registryThe trial behind it
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
10 authors.
Tong WangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-9900-0307 Yuanqing FuSchool of Life Sciences, Westlake University, Hangzhou, China.
Menglei ShuaiSchool of Life Sciences, Westlake University, Hangzhou, China.
Lu ZhuDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, IA 52242, USA.
Andrew T ChanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Qi SunChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Frank B HuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Scott T WeissChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-7196-303X Yang-Yu LiuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-2728-4907 Funding
Therapeutic Control of Aspirin-Exacerbated Respiratory DiseaseU19AI095219 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Joshua A Boyce · 2011 to 2026
$29.1MGenetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7MMulti-omic approaches to mechanisms of vitamin D, environmental influences, and the microbiome on asthmaUH3OD023268 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI LITONJUA, AUGUSTO A, WEISS, SCOTT T · 2018 to 2022
$13.5MProspective Study of the Gut Microbiome in AgingRF1AG067744 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2020 to 2020
$11.7MPrecision Prevention Research ProgramR35CA253185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Andrew T Chan · 2020 to 2026
$6.9MFunctional Redundancy of Human Microbiome and its Implication in Fecal Microbiota TransplantationR01AI141529 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LIU, YANG-YU · 2019 to 2023
$4.5MLong-term health consequences of birth by cesarean sectionR01HD093761 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO · 2018 to 2022
$3.3MNCI NIH HHS R35 CA253185NHLBI NIH HHS U01 HL089856NIAID NIH HHS R01 AI141529NIAID NIH HHS U19 AI095219NIA NIH HHS RF1 AG067744NICHD NIH HHS R01 HD093761NIH HHS UH3 OD023268
6 · The paper itselfAbstract
Since dietary intake is challenging to directly measure in large-scale cohort studies, we often rely on self-reported instruments (e.g., food frequency questionnaires, 24-hour recalls, and diet records) developed in nutritional epidemiology. Those self-reported instruments are prone to measurement errors, which can lead to inaccuracies in the calculation of nutrient profiles. Currently, few computational methods exist to address this problem. In the present study, we introduce a deep-learning approach ---
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PMID38045337
PMCPMC10690180
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