Evidence map›Paper›PMID 32656864›Full record

ReviewMedicinal research reviews2020

Harnessing endophenotypes and network medicine for Alzheimer's drug repurposing.

Jiansong Fang, Andrew A Pieper, Ruth Nussinov, Garam Lee, Lynn Bekris, James B Leverenz, Jeffrey Cummings, Feixiong Cheng

Open access · greenAbstract readReview
In one paragraph

Review in Medicinal research reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% 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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Network-based prediction and real-world patient data observation identify doxycycline as a repurposable drug in Alzheimer's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  8. Review
  9. Review
  10. Review
  11. Alzheimer Combination Therapies: Overview and Scenarios.The journal of prevention of Alzheimer's disease · 2025
    Review
  12. AΙ-Driven Drug Repurposing: Applications and Challenges.Medicines (Basel, Switzerland) · 2025
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Network Medicine: A Potential Approach for Virtual Drug Screening.Pharmaceuticals (Basel, Switzerland) · 2024
    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

8 authors at 5 institutions in 3 countries.

Jiansong FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Andrew A PieperHarrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Ruth NussinovCancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, Maryland, USA.
Garam LeeCleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
Lynn BekrisGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
James B LeverenzLou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Jeffrey CummingsCleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA.
Feixiong ChengGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-1736-2847
Cleveland Clinic · USCleveland Clinic Lerner College of Medicine · USCornell University · USGuangzhou University of Chinese Medicine · CNLeidos (United States) · US

Funding

Translational and Therapeutics CoreP30AG072959 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Mark Lloyd Cohen · 2021 to 2026
$23.9M
Renewal of Centers of Biomedical Research Excellence (COBRE) (Phase 2) CNTN - ResubmissionP20GM109025 · NIGMS · CLEVELAND CLINIC FOUNDATION · PI JESSICA KIRKLAND CALDWELL · 2015 to 2026
$22.8M
Translational Therapeutics CoreP30AG062428 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN · 2019 to 2020
$5.0M
Endophenotype Network-based Approaches to Prediction and Population-based Validation of In Silico Drug Repurposing for Alzheimer's DiseaseR01AG066707 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng · 2020 to 2026
$4.9M
Peripheral TREM2 Epigenetics and the Immune Response in Neurodegenerative DisordersR56AG063870 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN · 2019 to 2019
$738k
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENIA NIH HHS P30 AG062428NIA NIH HHS P30 AG072959NIA NIH HHS R01 AG066707NIA NIH HHS R56 AG063870NIGMS NIH HHS P20 GM109025
6 · The paper itself

Abstract

Following two decades of more than 400 clinical trials centered on the "one drug, one target, one disease" paradigm, there is still no effective disease-modifying therapy for Alzheimer's disease (AD). The inherent complexity of AD may challenge this reductionist strategy. Recent observations and advances in network medicine further indicate that AD likely shares common underlying mechanisms and intermediate pathophenotypes, or endophenotypes, with other diseases. In this review, we consider AD pathobiology, disease comorbidity, pleiotropy, and therapeutic development, and construct relevant endophenotype networks to guide future therapeutic development. Specifically, we discuss six main endophenotype hypotheses in AD: amyloidosis, tauopathy, neuroinflammation, mitochondrial dysfunction, vascular dysfunction, and lysosomal dysfunction. We further consider how this endophenotype network framework can provide advances in computational and experimental strategies for drug-repurposing and identification of new candidate therapeutic strategies for patients suffering from or at risk for AD. We highlight new opportunities for endophenotype-informed, drug discovery in AD, by exploiting multi-omics data. Integration of genomics, transcriptomics, radiomics, pharmacogenomics, and interactomics (protein-protein interactions) are essential for successful drug discovery. We describe experimental technologies for AD drug discovery including human induced pluripotent stem cells, transgenic mouse/rat models, and population-based retrospective case-control studies that may be integrated with multi-omics in a network medicine methodology. In summary, endophenotype-based network medicine methodologies will promote AD therapeutic development that will optimize the usefulness of available data and support deep phenotyping of the patient heterogeneity for personalized medicine in AD.

Indexed as

Alzheimer DiseaseInduced Pluripotent Stem CellsAnimalsDrug RepositioningEndophenotypesHumansMiceRatsRetrospective StudiesAlzheimer's diseaseamyloidosisdrug repurposingendophenotypenetwork medicineomicspathobiologysystems biologytauopathy

Identifiers

PMID32656864
PMCPMC7561446
OpenAlexW3041781301

What Socratic 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 Socratic graph.