Nature Search

Compartmentalization of sickle-cell calcium in endocytic inside-out vesicles

Virgilio L. Lew
Austin Hockaday
Robert M. Bookchin
Research13 Jun 1985
Nature

Volume: 315, P: 586-589
How does a hypha grow? The biophysics of pressurized growth in fungi

Internal hydrostatic pressure (turgor) is a major force driving the growth of hyphae in filamentous fungi. Here, Lew reviews the complex interplay of turgor, calcium gradients, transport of secretory vesicles by molecular motors, and mass flow of cytoplasm during fungal growth.

Roger R. Lew
Reviews06 Jun 2011
Nature Reviews Microbiology

Volume: 9, P: 509-518
Successful kinetic impact into an asteroid for planetary defence

The impact of the DART spacecraft on the asteroid Dimorphos is reported and reconstructed, demonstrating that kinetic impactor technology is a viable technique to potentially defend Earth from asteroids.

R. Terik Daly
Carolyn M. Ernst
Yun Zhang
ResearchOpen Access01 Mar 2023
Nature

Volume: 616, P: 443-447
An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer’s disease

This study finds that sST2 is a disease-causing factor for Alzheimer’s disease. Higher sST2 levels impair microglial Aβ clearance in APOE4⁺ female individuals. A genetic variant, rs1921622, is associated with a reduction in sST2 level and protects against AD in APOE4⁺ female individuals.

Yuanbing Jiang
Xiaopu Zhou
Nancy Y. Ip
ResearchOpen Access15 Jul 2022
Nature Aging

Volume: 2, P: 616-634
The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory

The BIN1 SNP rs744373 is associated with higher CSF tau and phosphorylated tau levels. Here the authors show, using PET imaging, that this SNP is associated with tau accumulation in the brain as well as impaired memory in older individuals without dementia.

Nicolai Franzmeier
Anna Rubinski
Ansgar J. Furst
ResearchOpen Access16 Apr 2019
Nature Communications

Volume: 10, P: 1-12
FAM222A encodes a protein which accumulates in plaques in Alzheimer’s disease

In this study the authors identify a possible link between the gene FAM222A and brain atrophy. The protein it encodes is found to accumulate in plaques seen in Alzheimer’s disease, and functional analysis suggests it interacts with amyloid-beta.

Tingxiang Yan
Jingjing Liang
Xinglong Wang
ResearchOpen Access21 Jan 2020
Nature Communications

Volume: 11, P: 1-16
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology

Whether Alzheimer’s disease originates in basal forebrain or entorhinal cortex remains highly debated. Here the authors use structural magnetic resonance data from a longitudinal sample of participants stratified by cerebrospinal biomarker and clinical diagnosis to show that tissue volume changes appear earlier in the basal forebrain than in the entorhinal cortex.

Taylor W. Schmitz
R. Nathan Spreng
Ansgar J. Furst
ResearchOpen Access04 Nov 2016
Nature Communications

Volume: 7, P: 1-13
Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis

Late-onset Alzheimer's disease (LOAD) is a complex multi-factorial disorder. Here, the authors perform a data-driven analysis of LOAD progression, including multimodal brain imaging, plasma and CSF biomarkers, and find vascular dysfunction is among the earliest and strongest altered events.

Y. Iturria-Medina
R. C. Sotero
Ansgar J. Furst
ResearchOpen Access21 Jun 2016
Nature Communications

Volume: 7, P: 1-14
Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE

Brain-iron elevation is implicated in Alzheimer’s disease (AD), but the impact of the metal on disease outcomes has not been analysed in a longitudinal study. Here, the authors examine the association between the levels of ferritin, an iron storage protein, in the cerebrospinal fluid (CSF) of AD patients and show that CSF ferritin levels predict AD outcomes.

Scott Ayton
Noel G. Faux
Ansgar J. Furst
ResearchOpen Access19 May 2015
Nature Communications

Volume: 6, P: 1-9
Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Several studies show that APOE-ε4 coding variants are associated with Alzheimer’s disease (AD) risk. Here, Zhou et al. perform fine-mapping of the APOE region and find AD risk haplotypes with non-coding variants in the PVRL2 and APOC1 regions that are associated with relevant endophenotypes.

Xiaopu Zhou
Yu Chen
Nancy Y. Ip
ResearchOpen Access25 Jul 2019
Nature Communications

Volume: 10, P: 1-16
Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Progressive diseases tend to be heterogeneous in their underlying aetiology mechanism, disease manifestation, and disease time course. Here, Young and colleagues devise a computational method to account for both phenotypic heterogeneity and temporal heterogeneity, and demonstrate it using two neurodegenerative disease cohorts.

Alexandra L Young
Razvan V Marinescu
Ansgar J Furst
ResearchOpen Access15 Oct 2018
Nature Communications

Volume: 9, P: 1-16
Estimation of reference curves for brain atrophy and analysis of robustness to machine effects

Elodie Piot
Félix Renard
Maria Luisa Mandelli
ResearchOpen Access03 Oct 2025
Scientific Reports

Volume: 15, P: 1-21
Author Correction: FAM222A encodes a protein which accumulates in plaques in Alzheimer’s disease

Tingxiang Yan
Jingjing Liang
Xinglong Wang
Amendments and CorrectionsOpen Access11 Jul 2022
Nature Communications

Volume: 13, P: 1-2
A study of dopant incorporation in Te-doped GaAsSb nanowires using a combination of XPS/UPS, and C-AFM/SKPM

Priyanka Ramaswamy
Shisir Devkota
Shanthi Iyer
ResearchOpen Access15 Apr 2021
Scientific Reports

Volume: 11, P: 1-14
Doping Dependent Magnetic Behavior in MBE Grown GaAs_1-xSb_x Nanowires

Raj Kumar
Yang Liu
Lewis Reynolds
ResearchOpen Access02 Jun 2020
Scientific Reports

Volume: 10, P: 1-9
Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction

Zhou et al. utilise deep learning to improve polygenic risk analysis for Alzheimer’s disease. Their computational approach outperforms existing statistical methods and helps to identify potential biological mechanisms of Alzheimer’s disease risk.

Xiaopu Zhou
Yu Chen
Nancy Y. Ip
ResearchOpen Access06 Apr 2023
Communications Medicine

Volume: 3, P: 1-20
The trend of disruption in the functional brain network topology of Alzheimer’s disease

Alireza Fathian
Yousef Jamali
Ansgar J. Furst
ResearchOpen Access02 Sept 2022
Scientific Reports

Volume: 12, P: 1-17
Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization

Yeonwoo Chung
Hyunju Lee
Kristin Fargher
ResearchOpen Access27 Jul 2021
Scientific Reports

Volume: 11, P: 1-14
Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Kilian Hett
Vinh-Thong Ta
Kristin Fargher
ResearchOpen Access25 Sept 2019
Scientific Reports

Volume: 9, P: 1-16
Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Garam Lee
Kwangsik Nho
Kristin Fargher
ResearchOpen Access13 Feb 2019
Scientific Reports

Volume: 9, P: 1-12
A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data

Suprateek Kundu
Joshua Lukemire
Ansgar J. Furst
ResearchOpen Access20 Dec 2019
Scientific Reports

Volume: 9, P: 1-18
A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease

Margherita Squillario
Giulia Abate
Kristin Fargher
ResearchOpen Access21 Jul 2020
Scientific Reports

Volume: 10, P: 1-12
Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

Yogatheesan Varatharajah
Vijay K. Ramanan
Kristin Fargher
ResearchOpen Access19 Feb 2019
Scientific Reports

Volume: 9, P: 1-15
Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Xinpeng Shen
Sisi Ma
Kristin Fargher
ResearchOpen Access19 Feb 2020
Scientific Reports

Volume: 10, P: 1-12
Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Yuetiva Deming
Jian Xia
Carlos Cruchaga
ResearchOpen Access04 Jan 2016
Scientific Reports

Volume: 6, P: 1-17
Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty

Lei Du
Kefei Liu
Kristin Fargher
ResearchOpen Access25 Oct 2017
Scientific Reports

Volume: 7, P: 1-14
A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease

Haochen Liu
Xiaoting Zhou
Kristin Fargher
ResearchOpen Access07 Jun 2016
Scientific Reports

Volume: 6, P: 1-12
Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Garam Lee
Kwangsik Nho
Kristin Fargher
Amendments and CorrectionsOpen Access01 Aug 2023
Scientific Reports

Volume: 13, P: 1
Author Correction: Multimodal hippocampal subfield grading for Alzheimer’s disease classification

Kilian Hett
Vinh-Thong Ta
Kristin Fargher
Amendments and CorrectionsOpen Access30 Jun 2020
Scientific Reports

Volume: 10, P: 1

Search

Compartmentalization of sickle-cell calcium in endocytic inside-out vesicles

How does a hypha grow? The biophysics of pressurized growth in fungi

Successful kinetic impact into an asteroid for planetary defence

An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer’s disease

The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory

FAM222A encodes a protein which accumulates in plaques in Alzheimer’s disease

Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology

Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis

Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE

Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Estimation of reference curves for brain atrophy and analysis of robustness to machine effects

Author Correction: FAM222A encodes a protein which accumulates in plaques in Alzheimer’s disease

A study of dopant incorporation in Te-doped GaAsSb nanowires using a combination of XPS/UPS, and C-AFM/SKPM

Doping Dependent Magnetic Behavior in MBE Grown GaAs_1-xSb_x Nanowires

Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction

The trend of disruption in the functional brain network topology of Alzheimer’s disease

Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data

A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty

A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease

Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Author Correction: Multimodal hippocampal subfield grading for Alzheimer’s disease classification

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