Literature DB >> 29390184

Progress and Challenges in the Diagnosis of Dementia: A Critical Review.

Maria Paraskevaidi1, Pierre L Martin-Hirsch2, Francis L Martin1.   

Abstract

Longer life expectancies have led to an increased number of neurodegenerative disease cases globally. Accurate diagnosis of this devastating disorder is of crucial importance but is still feasible only by a brain biopsy after death. An enormous amount of attention and research has been in place over the years toward the better understanding of the mechanisms, as well as the early diagnosis, of neurodegeneration. However, numerous studies have been contradictory from time to time, while new diagnostic methods are constantly developed in a tireless effort to tackle the disease. Nonetheless, there is not yet a conclusive report covering a broader range of techniques for the diagnosis of different types of dementia. In this paper, we critically review current knowledge on the different hypotheses about the pathogenesis of distinct types of dementia, as well as risk factors and current diagnostic approaches in a clinical setting, including neuroimaging, cerebrospinal (CSF), and blood tests. Encouraging research results for the diagnosis and investigation of neurodegenerative disorders are also reported. Particular attention is given to the field of spectroscopy as an emerging tool to detect dementias, follow-up patients, and potentially monitor the patients' response to a therapeutic approach. Spectroscopic techniques, such as infrared and Raman spectroscopy, have facilitated numerous disease-related studies, including neurodegenerative disorders, and are currently undergoing trials for clinical implementation. This review constitutes a comprehensive report with an in-depth focus on promising imaging, molecular biomarker and spectroscopic tests in the field of dementive diseases.

Entities:  

Keywords:  Neurodegenerative disease; biomarkers; dementia; diagnostic methods; neuroimaging; spectroscopy

Mesh:

Substances:

Year:  2018        PMID: 29390184     DOI: 10.1021/acschemneuro.8b00007

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


  8 in total

1.  A case of an elderly patient with insulin-dependent diabetes and dementia receiving one basal insulin plus one bolus insulin injections a day for 6 months.

Authors:  Taichi Minami; Jun Shirakawa; Akiko Kameda; Yoichi Suzuki; Kaoru Watanabe; Taku Yamada; Hiroko Hiiragi; Soichiro Takeda; Mayuko Takahashi; Yasuo Terauchi
Journal:  Diabetol Int       Date:  2020-07-02

2.  Frontotemporal EEG as potential biomarker for early MCI: a case-control study.

Authors:  Yasue Mitsukura; Brian Sumali; Hideto Watanabe; Toshiharu Ikaga; Toshihiko Nishimura
Journal:  BMC Psychiatry       Date:  2022-04-22       Impact factor: 4.144

3.  Aβ and tau structure-based biomarkers for a blood- and CSF-based two-step recruitment strategy to identify patients with dementia due to Alzheimer's disease.

Authors:  Andreas Nabers; Henning Hafermann; Jens Wiltfang; Klaus Gerwert
Journal:  Alzheimers Dement (Amst)       Date:  2019-03-12

4.  Tear-Based Vibrational Spectroscopy Applied to Amyotrophic Lateral Sclerosis.

Authors:  Diletta Ami; Alessandro Duse; Paolo Mereghetti; Federica Cozza; Francesca Ambrosio; Erika Ponzini; Rita Grandori; Christian Lunetta; Silvia Tavazzi; Fabio Pezzoli; Antonino Natalello
Journal:  Anal Chem       Date:  2021-12-14       Impact factor: 6.986

Review 5.  Machine learning for the life-time risk prediction of Alzheimer's disease: a systematic review.

Authors:  Thomas W Rowe; Ioanna K Katzourou; Joshua O Stevenson-Hoare; Matthew R Bracher-Smith; Dobril K Ivanov; Valentina Escott-Price
Journal:  Brain Commun       Date:  2021-10-21

Review 6.  Non-Invasive Nasal Discharge Fluid and Other Body Fluid Biomarkers in Alzheimer's Disease.

Authors:  Da Hae Jung; Gowoon Son; Oh-Hoon Kwon; Keun-A Chang; Cheil Moon
Journal:  Pharmaceutics       Date:  2022-07-22       Impact factor: 6.525

7.  Development of a cognitive function marker based on D-amino acid proportions using new chiral tandem LC-MS/MS systems.

Authors:  Ren Kimura; Hisashi Tsujimura; Masaru Tsuchiya; Satoko Soga; Noriyasu Ota; Atsushi Tanaka; Hunkyung Kim
Journal:  Sci Rep       Date:  2020-01-21       Impact factor: 4.379

8.  Serum Raman spectroscopy as a diagnostic tool in patients with Huntington's disease.

Authors:  Anna Huefner; Wei-Li Kuan; Sarah L Mason; Sumeet Mahajan; Roger A Barker
Journal:  Chem Sci       Date:  2019-11-14       Impact factor: 9.825

  8 in total

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