<table class="infobox infobox-gene">
<tr>
<th class="infobox-header" colspan="2">Transdiagnostic Proteomic Changes in Neurodegeneration</th>
</tr>
<tr>
<td class="label">Protein</td>
<td>AD Change</td>
</tr>
<tr>
<td class="label">IL-6</td>
<td>↑</td>
</tr>
<tr>
<td class="label">TNF-α</td>
<td>↑</td>
</tr>
<tr>
<td class="label">C3</td>
<td>↑</td>
</tr>
<tr>
<td class="label">TREM2</td>
<td>↑ (variants)</td>
</tr>
<tr>
<td class="label">APOE</td>
<td>ε4: ↑</td>
</tr>
<tr>
<td class="label">Associated Diseases</td>
<td><a href="/wiki/als" style="color:#ef9a9a">ALS</a>, <a href="/wiki/aging" style="color:#ef9a9a">Aging</a>, <a href="/wiki/als" style="color:#ef9a9a">Als</a>, <a href="/wiki/breast-cancer" style="color:#ef9a9a">Breast Cancer</a>, <a href="/wiki/cancer" style="color:#ef9a9a">Cancer</a></td>
</tr>
<tr>
<td class="label">KG Connections</td>
<td><a href="/atlas" style="color:#4fc3f7">150 edges</a></td>
</tr>
</table>
<table class="infobox infobox-gene">
<tr>
<th class="infobox-header" colspan="2">Transdiagnostic Proteomic Changes in Neurodegeneration</th>
</tr>
<tr>
<td class="label">Protein</td>
<td>AD Change</td>
</tr>
<tr>
<td class="label">IL-6</td>
<td>↑</td>
</tr>
<tr>
<td class="label">TNF-α</td>
<td>↑</td>
</tr>
<tr>
<td class="label">C3</td>
<td>↑</td>
</tr>
<tr>
<td class="label">TREM2</td>
<td>↑ (variants)</td>
</tr>
<tr>
<td class="label">APOE</td>
<td>ε4: ↑</td>
</tr>
<tr>
<td class="label">Associated Diseases</td>
<td><a href="/wiki/als" style="color:#ef9a9a">ALS</a>, <a href="/wiki/aging" style="color:#ef9a9a">Aging</a>, <a href="/wiki/als" style="color:#ef9a9a">Als</a>, <a href="/wiki/breast-cancer" style="color:#ef9a9a">Breast Cancer</a>, <a href="/wiki/cancer" style="color:#ef9a9a">Cancer</a></td>
</tr>
<tr>
<td class="label">KG Connections</td>
<td><a href="/atlas" style="color:#4fc3f7">150 edges</a></td>
</tr>
</table>
Recent advances in proteomics have revealed remarkable convergence in protein alterations across distinct neurodegenerative diseases. While Alzheimer's disease (AD), Parkinson's disease (PD), and frontotemporal dementia (FTD) have traditionally been studied as separate entities, large-scale proteomic analyses demonstrate shared molecular signatures that transcend disease-specific classifications. These transdiagnostic patterns center particularly on immune-related pathways, with [APOE](/genes/apoe) ε4 carriers showing common proteomic signatures across multiple neurodegenerative conditions [1][2].
The recognition of transdiagnostic proteomic changes has profound implications for understanding disease mechanisms, developing biomarkers, and identifying therapeutic targets that may benefit multiple neurodegenerative conditions simultaneously.
[APOE](/genes/apoe) encodes apolipoprotein E, a lipid transport protein with critical roles in brain homeostasis. The three common alleles (ε2, ε3, ε4) encode proteins with differential effects on lipid metabolism, amyloid clearance, and neuroinflammation. The ε4 allele is the strongest genetic risk factor for late-onset AD and modifies risk in other neurodegenerative diseases.
APOE ε4 carriers demonstrate distinctive proteomic profiles:
APOE ε4 carriers with PD show:
APOE ε4 modifies FTD phenotypes:
The following immune-related proteins show altered levels across multiple neurodegenerative diseases:
Key shared immune proteins:
Proteostasis machinery shows transdiagnostic alterations:
Synaptic dysfunction represents a common endpoint:
Energy metabolism defects are shared:
While shared signatures exist, disease-specific patterns remain:
Shared proteomic signatures offer opportunities for:
Key shared pathways for drug development:
Transdiagnostic proteomic understanding enables:
Large consortia are characterizing transdiagnostic patterns:
Transdiagnostic proteomic analysis reveals that neurodegenerative diseases share fundamental molecular mechanisms, particularly in immune activation and proteostasis. APOE ε4 carriers demonstrate common proteomic signatures across AD, PD, and FTD, highlighting a shared genetic modifier of neurodegeneration. These findings challenge traditional disease boundaries and open new avenues for cross-diagnostic biomarkers and therapies.
The following diagram shows the key molecular relationships involving Transdiagnostic Proteomic Changes in Neurodegeneration discovered through SciDEX knowledge graph analysis:
Sources: [GTEx Portal v10](https://gtexportal.org/home/gene/pdk1) | [Allen Brain Atlas](https://www.brain-map.org/)
| Rank | Tissue | Median TPM |
|------|--------|------------|
| 1 | Cells EBV-transformed lymphocytes | 17.96 |
| 2 | Skin Not Sun Exposed Suprapubic | 11.67 |
| 3 | Skin Sun Exposed Lower leg | 11.63 |
| 4 | Ovary | 7.31 |
| 5 | Artery Tibial | 6.71 |
| 6 | Cells Cultured fibroblasts | 6.10 |
| 7 | Minor Salivary Gland | 5.60 |
| 8 | Spleen | 5.43 |
| 9 | Vagina | 4.80 |
| 10 | Cervix Ectocervix | 4.74 |
| 11 | Heart Atrial Appendage | 4.10 |
| 12 | Adipose Subcutaneous | 3.99 |
| 13 | Testis | 3.90 |
| 14 | Cervix Endocervix | 3.65 |
| 15 | Breast Mammary Tissue | 3.64 |
Highest expression outside brain: Cells EBV-transformed lymphocytes (17.96 TPM)