Evidence map›Paper›PMID 28665131›Full record

ArticleMolecular pharmaceutics2018

A Comprehensive Database and Analysis Framework To Incorporate Multiscale Data Types and Enable Integrated Analysis of Bioactive Polyphenols.

Lap Ho, Haoxiang Cheng, Jun Wang, James E Simon, Qingli Wu, Danyue Zhao, Eileen Carry, Mario G Ferruzzi, Jeremiah Faith, Breanna Valcarcel and 2 more

Open access · greenAbstract read
In one paragraph

Article in Molecular pharmaceutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

12 authors at 4 institutions in 1 country.

Lap HoDepartment of Neurology , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.
Haoxiang ChengDepartment of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.
Jun WangDepartment of Neurology , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.
James E SimonNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology , Rutgers University , New Brunswick , New Jersey 08901 , United States.
Qingli WuNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology , Rutgers University , New Brunswick , New Jersey 08901 , United States.
Danyue ZhaoNew Use Agriculture and Natural Plant Products Program, Department of Plant Biology , Rutgers University , New Brunswick , New Jersey 08901 , United States.
Eileen CarryDepartment of Medicinal Chemistry , Ernest Mario School of Pharmacy , Piscataway , New Jersey 08854 , United States.
Mario G FerruzziPlants for Human Health Institute , North Carolina State University , Kannapolis , North Carolina 27695 , United States.ORCID 0000-0003-1384-2672
Jeremiah FaithDepartment of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.
Breanna ValcarcelDepartment of Neurology , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.
Ke HaoDepartment of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.
Giulio M PasinettiDepartment of Neurology , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.ORCID 0000-0002-1524-5196
Icahn School of Medicine at Mount Sinai · USRutgers, The State University of New Jersey · USGeriatric Research Education and Clinical Center · USNorth Carolina State University · US

Funding

Pasinetti: Project 3; Role of Microbiome in Promotion of Cognitive and Psychological Resilience (Faith)P50AT008661 · NCCIH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PASINETTI, GIULIO MARIA · 2015 to 2019
$11.2M
NCCIH NIH HHS P50 AT008661
6 · The paper itself

Abstract

The development of a given botanical preparation for eventual clinical application requires extensive, detailed characterizations of the chemical composition, as well as the biological availability, biological activity, and safety profiles of the botanical. These issues are typically addressed using diverse experimental protocols and model systems. Based on this consideration, in this study we established a comprehensive database and analysis framework for the collection, collation, and integrative analysis of diverse, multiscale data sets. Using this framework, we conducted an integrative analysis of heterogeneous data from in vivo and in vitro investigation of a complex bioactive dietary polyphenol-rich preparation (BDPP) and built an integrated network linking data sets generated from this multitude of diverse experimental paradigms. We established a comprehensive database and analysis framework as well as a systematic and logical means to catalogue and collate the diverse array of information gathered, which is securely stored and added to in a standardized manner to enable fast query. We demonstrated the utility of the database in (1) a statistical ranking scheme to prioritize response to treatments and (2) in depth reconstruction of functionality studies. By examination of these data sets, the system allows analytical querying of heterogeneous data and the access of information related to interactions, mechanism of actions, functions, etc., which ultimately provide a global overview of complex biological responses. Collectively, we present an integrative analysis framework that leads to novel insights on the biological activities of a complex botanical such as BDPP that is based on data-driven characterizations of interactions between BDPP-derived phenolic metabolites and their mechanisms of action, as well as synergism and/or potential cancellation of biological functions. Out integrative analytical approach provides novel means for a systematic integrative analysis of heterogeneous data types in the development of complex botanicals such as polyphenols for eventual clinical and translational applications.

Indexed as

Data AnalysisDatasets as TopicDatabases, FactualDrug DevelopmentPhytochemicalsPolyphenolsPhytochemicalsPolyphenolsdietary botanicals and polyphenol metabolitesdirectional networksintegrated analysismultiple scale data set

Identifiers

PMID28665131
PMCPMC6016761
OpenAlexW2725119379

What OpenQuestion holds

Textmetadata
LicenceTDM
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.