Evidence map›Paper›PMID 30953258›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2019

KIBRA T allele influences memory performance and progression of cognitive decline: a 7-year follow-up study in subjective cognitive decline and mild cognitive impairment.

Salvatore Mazzeo, Valentina Bessi, Sonia Padiglioni, Silvia Bagnoli, Laura Bracco, Sandro Sorbi, Benedetta Nacmias

2 registry-linked trialsAbstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 37% 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.

NCT05569083 unknown statusnot on this mapstarted 2020, after this paper: background citation

PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer's Disease With Machine Learning

TypeobservationalSponsorAzienda Ospedaliero-Universitaria CareggiRan2020 to 2024Enrolled350ConditionsCognitive Decline, Mild Cognitive Impairment, Alzheimer DiseaseArmsGenetic analysis of APOE and BDNF genes., EEG recording, CSF collection and AD biomarker measurement, Neuropsychological evaluation, Assessment of cognitive reserve, depression, personality traits and leisure activities
NCT07402161 recruitingnot on this mapstarted 2025, after this paper: background citation

Unraveling the SIGNature of ALzheimer's Disease: Integrating Multimodal Biomarkers Through Machine Learning

TypeobservationalSponsorIRCCS Policlinico S. DonatoRan2025 to 2028Enrolled250ConditionsSubjective Cognitive Decline (SCD), Subjective Cognitive Complaints (SCCs), Subjective Cognitive Impairment, Subjective Cognitive Concerns
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  7. Dual Effect ofDiagnostics (Basel, Switzerland) · 2021
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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

7 authors at 2 institutions in 1 country.

Salvatore MazzeoDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Valentina BessiDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Sonia PadiglioniDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Silvia BagnoliDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Laura BraccoDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Sandro SorbiDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Benedetta NacmiasDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy. nacmias@unifi.it.
University of Florence · ITDon Carlo Gnocchi Foundation · IT

Funding

Ministero della Salute GR-2010-2316359Regione Toscana GR-2010-2316359Università degli Studi di Firenze Fondi Ricerca UNIFI 2018
6 · The paper itself

Abstract

KIBRA is a signal transducer protein, mainly expressed in the kidney and brain. A single-nucleotide polymorphism (SNP rs17070145, T → C exchange) has been linked to different cognitive function. In 2008, we studied 70 subjects who complained of subjective cognitive decline (SCD) and found that CT/TT carriers performed worse than CC carriers on a long-term memory test. We followed up the 70 SCD subjects and also 31 subjects affected by mild cognitive impairment (MCI) for a mean follow-up time of 7 years, during which 16 SCD subjects progressed to MCI and 14 MCI subjects progressed to Alzheimer's disease (AD). Carrying the T allele was associated with MCI and with a two times-higher risk of developing MCI than CC carriers. In the SCD sample, CT/TT carriers showed a greater worsening on Rivermead Behavioral Memory Test (RBMT) compared to CC carriers. In the MCI sample, CT/TT carriers performed worse than CC carriers on RBMT. There is a lack of consensus on the effect of KIBRA gene variants on cognitive performances in episodic memory and on the risk of AD. Our results confirm a role of T allele on progression of cognitive decline.

Indexed as

AgedAllelesCognitive DysfunctionDisease ProgressionFemaleFollow-Up StudiesGenotypeHeterozygoteHumansIntracellular Signaling Peptides and ProteinsMaleMemory, Long-TermMiddle AgedPolymorphism, Single NucleotideIntracellular Signaling Peptides and ProteinsWWC1 protein, humanAlzheimer’s diseaseApoEKIBRAMild cognitive impairmentNeuropsychologySubjective cognitive decline

Identifiers

PMID30953258
OpenAlexW2932678488

What OpenQuestion holds

Textmetadata
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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.