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The impact of Alzheimer's disease susceptibility loci on lateral ventricular surface morphology in older adults

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Abstract

The enlargement of ventricular volume is a general trend in the elderly, especially in patients with Alzheimer’s disease (AD). Multiple susceptibility loci have been reported to have an increased risk for AD and the morphology of brain structures are affected by the variations in the risk loci. Therefore, we hypothesized that genes contributed significantly to the ventricular surface, and the changes of ventricular surface were associated with the impairment of cognitive functions. After the quality controls (QC) and genotyping, a lateral ventricular segmentation method was employed to obtain the surface features of lateral ventricle. We evaluated the influence of 18 selected AD susceptibility loci on both volume and surface morphology across 410 subjects from Alzheimer’s Disease Neuroimaging Initiative (ADNI). Correlations were conducted between radial distance (RD) and Montreal Cognitive Assessment (MoCA) subscales. Only the C allele at the rs744373 loci in BIN1 gene significantly accelerated the atrophy of lateral ventricle, including the anterior horn, body, and temporal horn of left lateral ventricle. No significant effect on lateral ventricle was found at other loci. Our results revealed that most regions of the bilateral ventricular surface were significantly negatively correlated with cognitive scores, particularly in delayed recall. Besides, small areas of surface were negatively correlated with language, orientation, and visuospatial scores. Together, our results indicated that the genetic variation affected the localized areas of lateral ventricular surface, and supported that lateral ventricle was an important brain structure associated with cognition in the elderly.

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Availability of data and material

All data used are from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu).

Code availability

The code we used can be obtained by contacting the corresponding authors.

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Acknowledgements

This work was supported in part by the National Key Research and Development Program of China (Grant No. 2019YFA0706200), in part by the National Natural Science Foundation of China (Grant No.61632014, No.61627808), in part by the Fundamental Research Funds for the Central Universities(lzuxxxy-2019-tm09), in part by the Natural Science Foundation of Gansu Province of China (Grant No.20JR5RA292), and in part by the Department of Education of Gansu Province: "Innovation Star" Project for Excellent Postgraduates (2021CXZX-121).

Funding

Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California.

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Authors and Affiliations

  1. Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People’s Republic of China

    Shan Li, Na An, Nan Chen, Yin Wang, Lin Yang, Zhijun Yao & Bin Hu

  2. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

    Yalin Wang

  3. CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, ShangHai, China

    Bin Hu

  4. Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University and Institute of Semiconductors, Chinese Academy of Sciences, LanZhou, China

    Bin Hu

  5. Engineering Research Center of Open Source Software and Real-Time System, Ministry of Education, Lanzhou University, Lanzhou, China

    Bin Hu

Authors
  1. Shan Li
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  2. Na An
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  3. Nan Chen
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  4. Yin Wang
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  5. Lin Yang
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  6. Yalin Wang
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  7. Zhijun Yao
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  8. Bin Hu
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Contributions

SL: conceptualization, formal analysis, and writing—original draft. NA: methodology and visualization. NC: formal analysis and visualization. YW: writing—original draft and investigation. LY: writing—original draft and investigation. YW: methodology. ZY: conceptualization and supervision. BH: conceptualization and supervision.

Corresponding authors

Correspondence to Zhijun Yao or Bin Hu.

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Conflict of interest

There is no conflict of interest to disclose.

Ethics approval

Data involved in the study came from the publicly open Alzheimer’s disease neuroimaging initiative (ADNI) database. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the Helsinki Declaration of 1975.

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Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.

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Li, S., An, N., Chen, N. et al. The impact of Alzheimer's disease susceptibility loci on lateral ventricular surface morphology in older adults. Brain Struct Funct 227, 913–924 (2022). https://doi.org/10.1007/s00429-021-02429-y

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  • DOI: https://doi.org/10.1007/s00429-021-02429-y

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