Article in Current Alzheimer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 42% 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
2 citing papers in PubMed, 4 citations in OpenAlex.
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 at 1 institution in 1 country.
Robert HwangTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York City, NY, 10032, USA.
Lam-Ha DangTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York City, NY, 10032, USA.
Jacinda ChenTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York City, NY, 10032, USA.
Joseph H LeeTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York City, NY, 10032, USA.
Catherine MarquerTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York City, NY, 10032, USA.
Columbia University Irving Medical Center · US
Funding
Project 3: Biomarkers for DS Clinical TrialsU19AG068054 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTIAN, BRADLEY T, HANDEN, BENJAMIN L · 2020 to 2025
$103.7M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
Biomarkers of Alzheimer's Disease in Adults with Down SyndromeU01AG051412 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LOTT, IRA T., SCHUPF, NICOLE · 2015 to 2019
$26.3M
Integrating the exposome and methylome to inform brain molecular changes in ADRD across established diverse cohorts.U01AG046139 · NIA · UNIVERSITY OF FLORIDA · PI ERTEKIN-TANER, NILUFER, FUNK, CORY · 2013 to 2022
$24.6M
Tox-AD: a new multi-institute tri-consortium data resource in the AD Knowledge PortalU24AG061340 · NIA · SAGE BIONETWORKS · PI Laura Michelle Heath, Susheel Varma · 2018 to 2026
$24.6M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
Protective genetic factors of Alzheimer disease in PSEN1 Mutation Carriers in Puerto RicoR01AG058918 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEE, JOSEPH HYUNGWOO · 2018 to 2022
$4.3M
Towards a comprehensive signaling pathway map of parahippocampal vulnerability in Alzheimers DiseaseRF1AG057440 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAROUTUNIAN, VAHRAM, NOGGLE, SCOTT ALLEN · 2017 to 2017
$3.5M
PLASMA A BETA AS A SURROGATE GENETIC MARKER FOR LOADR01AG018023 · NIA · MAYO CLINIC JACKSONVILLE · PI YOUNKIN, STEVEN G · 2001 to 2012
$3.3M
Exploring the Role of the Brain Transcriptome in Cognitive DeclineR01AG036836 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI DE JAGER, PHILIP L · 2011 to 2014
$2.9M
Gene discovery in PSP by transcriptome, neuropathology and sequence analysisR01NS080820 · NINDS · MAYO CLINIC JACKSONVILLE · PI ERTEKIN-TANER, NILUFER · 2013 to 2017
Down Syndrome (DS), caused by triplication of human chromosome 21 (Hsa21) is the most common form of intellectual disability worldwide. Recent progress in healthcare has resulted in a dramatic increase in the lifespan of individuals with DS. Unfortunately, most will develop Alzheimer's disease like dementia (DS-AD) as they age. Understanding similarities and differences between DSAD and the other forms of the disease - i.e., late-onset AD (LOAD) and autosomal dominant AD (ADAD) - will provide important clues for the treatment of DS-AD. In addition to the APP gene that codes the precursor of the main component of amyloid plaques found in the brain of AD patients, other genes on Hsa21 are likely to contribute to disease initiation and progression. This review focuses on SYNJ1, coding the phosphoinositide phosphatase synaptojanin 1 (SYNJ1). First, we highlight the function of SYNJ1 in the brain. We then summarize the involvement of SYNJ1 in the different forms of AD at the genetic, transcriptomic, proteomic and neuropathology levels in humans. We further examine whether results in humans correlate with what has been described in murine and cellular models of the disease and report possible mechanistic links between SYNJ1 and the progression of the disease. Finally, we propose a set of questions that would further strengthen and clarify the role of SYNJ1 in the different forms of AD.
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.