Evidence map›Paper›PMID 34600126›Full record

ArticleDrug discovery today2022

Manifold medicine: A schema that expands treatment dimensionality.

Choong Yong Ung, Taylor M Weiskittel, Cristina Correia, Scott H Kaufmann, Hu Li

Abstract read
In one paragraph

Article in Drug discovery today, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

5 authors.

Choong Yong UngDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
Taylor M WeiskittelDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
Cristina CorreiaDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
Scott H KaufmannDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
Hu LiDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA. Electronic address: li.hu@mayo.edu.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI ELLEN L. GOODE · 2009 to 2026
$37.0M
Medical Scientist Traning Program at Mayo ClinicT32GM065841 · NIGMS · MAYO CLINIC ROCHESTER · PI KAUFMANN, SCOTT H, SCHIMMENTI, LISA A · 2003 to 2022
$5.8M
Harnessing Molecular Networks of Resilience for Therapeutic Discoveries in ADR01AG061796 · NIA · MAYO CLINIC JACKSONVILLE · PI ERTEKIN-TANER, NILUFER · 2018 to 2022
$5.7M
Capturing the molecular complexity of Alzheimer's disease through the lens of RNA binding proteinsRF1AG056318 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LI, HU, WOLOZIN, BENJAMIN L · 2018 to 2020
$4.4M
Determinants of pancreatic cancer and malignant melanoma phenotypes in CDKN2A hereditary kindredsR01CA208517 · NCI · MAYO CLINIC ROCHESTER · PI FERNANDEZ-ZAPICO, MARTIN ERNESTO, LI, HU · 2016 to 2020
$2.9M
Uncovering therapeutic-associated biomarkers via machine learning and feature engineering approachesR03OD034496 · OD · MAYO CLINIC ROCHESTER · PI LI, HU · 2022 to 2022
$318k
NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA208517NIA NIH HHS R01 AG061796NIA NIH HHS RF1 AG056318NIGMS NIH HHS T32 GM065841NIH HHS R03 OD034496
6 · The paper itself

Abstract

Drug discovery currently focuses on identifying new druggable targets and drug repurposing. Here, we illustrate a third domain of drug discovery: the dimensionality of treatment regimens. We formulate a new schema called 'Manifold Medicine', in which disease states are described by vectorial positions on several body-wide axes. Thus, pathological states are represented by multidimensional 'vectors' that traverse the body-wide axes. We then delineate the manifold nature of drug action to provide a strategy for designing manifold drug cocktails by design using state-of-the-art biomedical and technological innovations. Manifold Medicine offers a roadmap for translating knowledge gained from next-generation technologies into individualized clinical practice.

Indexed as

DiseaseDrug DiscoveryDrug RepositioningHomeostasisDrug CombinationsHumansKnowledge BasesPharmacology, ClinicalPrecision MedicineSystems TheoryTranslational Science, BiomedicalDrug CombinationsCombinatorial therapeuticsIndividualized medicineManifold medicineSystems pharmacology

Identifiers

PMID34600126
PMCPMC8714694

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.