Evidence map›Paper›PMID 21164525›Full record

ReviewNature reviews. Genetics2011

Network medicine: a network-based approach to human disease.

Albert-László Barabási, Natali Gulbahce, Joseph Loscalzo

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04630132 (Renal Ageing-sarcopenia Network), which is not on this map. Cited by 2,342 papers.

0numbers the graph read from it
0cells of the map it votes in
2,342citing papers in PubMed
76.5field-weighted citation impact, top 1% 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.

NCT04630132 unknown statusnot on this mapstarted 2017, after this paper: background citation

Renal Ageing-sarcopenia Network: a Combined Genetic, Immunological and Psychological Approach to Dissect Frailty

TypeobservationalSponsorIRCCS San RaffaeleRan2017 to 2021Enrolled1,500ConditionsAging, Frailty, Hypertension, CKD
3 · Its place in the literature

Who cites it

2,342 citing papers in PubMed, 4,950 citations in OpenAlex.

  1. Article
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  7. Target discovery and drug design in the era of artificial intelligence.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
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  18. Isolation of synovial fluid exosomes using phospholipid molecular imprinting technology and discovery of early diagnostic markers for osteoarthritis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  19. Article
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2,282 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Albert-László BarabásiCenter for Complex Networks Research and Department of Physics, Northeastern University, 110 Forsyth Street, 111 Dana Research Center, Boston, Massachusetts 02115, USA. alb@neu.edu
Natali Gulbahce
Joseph Loscalzo
Brigham and Women's Hospital · USDana (United States) · USUniversity of California, San Francisco · US

Funding

Tissue AnalysesP01HL048743 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GLADYSHEV, VADIM N. · 1992 to 2014
$26.3M
Redox regulation in Endothelial Progenitor CellsP01HL081587 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALSH, KENNETH · 2005 to 2015
$21.5M
Single Molecule Analysis of Sickle Erythrocyte Adhesion in Sickle Cell DiseaseU54HL070819 · NHLBI · BOSTON MEDICAL CENTER · PI LEOPOLD, JANE A · 2003 to 2011
$12.5M
GPx-3 and Peroxide Flux in the Endothelial CellR37HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2007 to 2016
$4.3M
PLATELET DERIVED REACTIVE OXYGEN SPECIES AND PLAQUER01HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 1998 to 2006
$1.6M
Selenium, Glutathione Peroxidase-1, and Homocysteine-induced Cardiac RemodelingR21HL089734 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI JOSEPH, JACOB · 2008 to 2009
$413k
NHLBI NIH HHS HL061795NHLBI NIH HHS HL48743NHLBI NIH HHS HL70819NHLBI NIH HHS HL81587NHLBI NIH HHS P01 HL048743NHLBI NIH HHS P01 HL081587NHLBI NIH HHS R01 HL061795NHLBI NIH HHS R21 HL089734NHLBI NIH HHS R37 HL061795NHLBI NIH HHS U54 HL070819
6 · The paper itself

Abstract

Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue and organ systems. The emerging tools of network medicine offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also the molecular relationships among apparently distinct (patho)phenotypes. Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.

Indexed as

Metabolic Networks and PathwaysDatabases, GeneticDiseaseGene Expression ProfilingGene Regulatory NetworksGenome-Wide Association StudyHumans

Identifiers

PMID21164525
PMCPMC3140052
OpenAlexW2062533676

What OpenQuestion holds

Textmetadata
LicenceTDM
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.