Evidence map›Paper›PMID 30386819›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2018

Synergism of antihypertensives and cholinesterase inhibitors in Alzheimer's disease.

Ziheng Hu, Lirong Wang, Shifan Ma, Levent Kirisci, Zhiwei Feng, Ying Xue, William E Klunk, M Ilyas Kamboh, Robert A Sweet, James Becker and 3 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 3 institutions in 3 countries.

Ziheng HuDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy; NIDA National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA, USA.
Lirong WangDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy; NIDA National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA, USA.
Shifan MaDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy; NIDA National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA, USA.
Levent KirisciDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy; NIDA National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA, USA.
Zhiwei FengDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy; NIDA National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA, USA.
Ying XueDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy; NIDA National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA, USA.
William E KlunkDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
M Ilyas KambohDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
Robert A SweetDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
James BeckerDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Qianzhou LvDepartment of Clinical Pharmacy, Zhongshan Hospital, Fudan University, Shanghai, China.
Oscar L LopezDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.
Xiang-Qun XieDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy; NIDA National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · USGenomics (United Kingdom) · GBThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Vascular Moderators of the Impact of Alzheimer's Pathology in the Young-OldP01AG025204 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Ann D. Cohen · 2005 to 2026
$56.5M
TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 1985 to 2019
$43.0M
NiAD Supplement WashU Start UpU01AG051406 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTIAN, BRADLEY T, HANDEN, BENJAMIN L · 2015 to 2019
$21.3M
Prediction of Psychosis in Alzheimer DiseaseR01AG027224 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 2007 to 2021
$10.8M
Roles of Gray Matter Brain Aging and Small Vessel Disease in AD PathophysiologyRF1AG025516 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, VILLEMAGNE, VICTOR LUIS · 2014 to 2021
$9.0M
Search for the Alzheimers GenesR01AG030653 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 2009 to 2019
$7.7M
NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
Deep Resequencing of Candidate Gene Regions in Late-onset Alzheimer's DiseaseR01AG041718 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 2012 to 2016
$3.0M
Structure/Function of the CB2 Receptor Binding and G-protein Recognition PocketsR01DA025612 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XIE, XIANG-QUN · 2010 to 2014
$1.7M
NIA NIH HHS P01 AG025204NIA NIH HHS P50 AG005133NIA NIH HHS R01 AG027224NIA NIH HHS R01 AG030653NIA NIH HHS R01 AG041718NIA NIH HHS RF1 AG025516NIA NIH HHS U01 AG051406NIA NIH HHS U24 AG021886NIDA NIH HHS P30 DA035778NIDA NIH HHS R01 DA025612
6 · The paper itself

Abstract

introductionWe investigated the effect of antihypertensive (aHTN) medications and cholinesterase inhibitors (ChEIs) on the cognitive decline in patients with Alzheimer's disease (AD) and analyzed synergism by chemogenomics systems pharmacology mapping.

methodsWe compared the effect of aHTN drugs on Mini-Mental State Examination scores in 617 AD patients with hypertension, and studied the synergistic effects.

resultsThe combination of diuretics, calcium channel blockers, and renin-angiotensin-aldosterone system blockers showed slower cognitive decline compared with other aHTN groups (Δβ = +1.46, DISCUSSION: aHTN and ChEI drugs showed synergistic effects. A combination of diuretics, renin-angiotensin-aldosterone system blockers, and calcium channel blockers had the slowest cognitive decline. The chemogenomics systems pharmacology-identified molecular targets provide system pharmacology interpretation of the synergism of the drugs in clinics. The results suggest that improving vascular health is essential for AD treatment and provide a novel direction for AD drug development.

Indexed as

Alzheimer's diseaseAntihypertensive medicationsCholinesterase inhibitorsClinical data miningCognitive declineCombination therapySystems pharmacology

Identifiers

PMID30386819
PMCPMC6205113
OpenAlexW2897842179

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.