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Molecular Pathological Classification of Neurodegenerative Diseases: Turning towards Precision Medicine
Kovacs GG.. International journal of molecular sciences, 2016-02-02
Topic: Brain proteins, microglia and lab models
Neurodegenerative diseases (NDDs) are characterized by selective dysfunction and loss of neurons associated with pathologically altered proteins that deposit in the human brain but also in peripheral organs. These proteins and their biochemical modifications can be potentially targeted for therapy or used as biomarkers. Despite a plethora of modifications demonstrated for different neurodegeneration-related proteins, such as amyloid-β, prion protein, tau, α-synuclein, TAR DNA-binding protein 43 (TDP-43), or fused in sarcoma protein (FUS), molecular classification of NDDs relies on detailed morphological evaluation of protein deposits, their distribution in the brain, and their correlation to clinical symptoms together with specific genetic alterations.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Kovacs, G. G. (2016). Molecular Pathological Classification of Neurodegenerative Diseases: Turning towards Precision Medicine. International journal of molecular sciences. https://doi.org/10.3390/ijms17020189
Vancouver
Kovacs GG. Molecular Pathological Classification of Neurodegenerative Diseases: Turning towards Precision Medicine. International journal of molecular sciences. 2016. doi:10.3390/ijms17020189. PMID: 26848654.
BibTeX
@article{kovacs2016-26848654,
author = {Kovacs, G. G.},
title = {{Molecular Pathological Classification of Neurodegenerative Diseases: Turning towards Precision Medicine}},
journal = {International journal of molecular sciences},
year = {2016},
doi = {10.3390/ijms17020189},
pmid = {26848654},
url = {https://doi.org/10.3390/ijms17020189}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- These proteins and their biochemical modifications can be potentially targeted for therapy or used as biomarkers.
- Despite a plethora of modifications demonstrated for different neurodegeneration-related proteins, such as amyloid-β, prion protein, tau, α-synuclein, TAR DNA-binding protein 43 (TDP-43), or fused in sarcoma protein (FUS), molecular classification of NDDs relies on detailed morphological evaluation of protein deposits, their distribution in the brain, and their correlation to clinical symptoms together with specific genetic alterations.
- A further facet of the neuropathology-based classification is the fact that many protein deposits show a hierarchical involvement of brain regions.
- This has been shown for Alzheimer and Parkinson disease and some forms of tauopathies and TDP-43 proteinopathies.
Why it matters
This review discusses molecular pathological classification of neurodegenerative diseases based on morphological evaluation of protein deposits and their distribution. It notes that proteins and their modifications can potentially be targeted for therapy or used as biomarkers, but it does not test any treatment, cure, or prevention.
Study details
- Evidence strengthLow
How this study scored 51/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (International journal of molecular sciences) |
| Journal's citation record | 3 / 4 | International Journal of Molecular Sciences: journal h-index 426 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2016 — within 20 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 6 / 7 | Cited 321 times (OpenAlex, 2026-10-10) |
| Citations per year | 4 / 5 | 26.8 citations a year over 12 year(s) since 2016 |
| Impact for its field and year | 5 / 6 | Cited 25.9× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 7 other studies in this library |
| Still being cited | 3 / 4 | Cited 81 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Gábor Géza Kovács: h-index 90 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Medical University of Vienna: institution h-index 818 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 26848654) |
| Free to read | 2 / 2 | Free to read |
| Total | 51 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.3390/ijms17020189
- PubMed: 26848654
- Original source →
- Free full text: International Journal of Molecular Sciences →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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