Evidence map›Paper›PMID 36151774›Full record

ArticleBriefings in bioinformatics2022

Efficacy difference of antipsychotics in Alzheimer's disease and schizophrenia: explained with network efficiency and pathway analysis methods.

Peihao Fan, Julia Kofler, Ying Ding, Michael Marks, Robert A Sweet, Lirong Wang

Open access · greenAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

6 authors at 1 institution in 1 country.

Peihao FanSchool of Pharmacy, University of Pittsburgh.ORCID 0000-0002-9814-5085
Julia KoflerUniversity of Pittsburgh.
Ying DingDepartment of Biostatistics at the University of Pittsburgh.
Michael MarksCenter for Neuroscience at the University of Pittsburgh and the Department of Neurobiology.
Robert A SweetUPMC Endowed Professor of Psychiatric Neuroscience and Professor of Neurology at the University of Pittsburgh.
Lirong Wangdepartment of pharmaceutical sciences, school of pharmacy at University of Pittsburgh, USA.
University of Pittsburgh · US

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 1985 to 2019
$43.0M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI C. Elizabeth Shaaban · 2020 to 2026
$29.4M
Prediction of Psychosis in Alzheimer DiseaseR01AG027224 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 2007 to 2021
$10.8M
Predoctorial Training in Basic NeuroscienceT32NS007433 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MERINEY, STEPHEN D · 1998 to 2022
$8.0M
Synaptic Resilience to Psychosis in Alzheimer DiseaseR01MH116046 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Julia K Kofler, ROBERT A SWEET · 2018 to 2026
$6.6M
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
NIA NIH HHS P30 AG066468NIA NIH HHS P50 AG005133NIA NIH HHS R01 AG027224NIH HHS S10 OD028483NIMH NIH HHS R01 MH116046NINDS NIH HHS T32 NS007433
6 · The paper itself

Abstract

Approximately 50% of Alzheimer's disease (AD) patients will develop psychotic symptoms and these patients will experience severe rapid cognitive decline compared with those without psychosis (AD-P). Currently, no medication has been approved by the Food and Drug Administration for AD with psychosis (AD+P) specifically, although atypical antipsychotics are widely used in clinical practice. These drugs have demonstrated modest efficacy in managing psychosis in individuals with AD, with an increased frequency of adverse events, including excess mortality. We compared the differences between the genetic variations/genes associated with AD+P and schizophrenia from existing Genome-Wide Association Study and differentially expressed genes (DEGs). We also constructed disease-specific protein-protein interaction networks for AD+P and schizophrenia. Network efficiency was then calculated to characterize the topological structures of these two networks. The efficiency of antipsychotics in these two networks was calculated. A weight adjustment based on binding affinity to drug targets was later applied to refine our results, and 2013 and 2123 genes were identified as related to AD+P and schizophrenia, respectively, with only 115 genes shared. Antipsychotics showed a significantly lower efficiency in the AD+P network than in the schizophrenia network (P < 0.001) indicating that antipsychotics may have less impact in AD+P than in schizophrenia. AD+P may be caused by mechanisms distinct from those in schizophrenia which result in a decreased efficacy of antipsychotics in AD+P. In addition, the network analysis methods provided quantitative explanations of the lower efficacy of antipsychotics in AD+P.

Indexed as

Alzheimer DiseaseAntipsychotic AgentsPsychotic DisordersSchizophreniaGenome-Wide Association StudyHumansAntipsychotic AgentsAntipsychoticsNetwork analysisPsychosis in Alzheimer’s diseaseSystems pharmacology

Identifiers

PMID36151774
PMCPMC9677501
OpenAlexW4297183390

What OpenQuestion holds

Textmetadata
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.