2024 VCP International Conference: Exploring multi-disciplinary approaches from basic science of valosin containing protein, an AAA+ ATPase protein, to the therapeutic advancement for VCP-associated multisystem proteinopathy
Bibliographic record
Abstract
Valosin-containing protein (VCP/p97) is a ubiquitously expressed AAA+ ATPase associated with numerous protein-protein interactions and critical cellular functions including protein degradation and clearance, mitochondrial homeostasis, DNA repair and replication, cell cycle regulation, endoplasmic reticulum-associated degradation, and lysosomal functions including autophagy and apoptosis. Autosomal-dominant missense mutations in the VCP gene may result in VCP-associated multisystem proteinopathy (VCP-MSP), a rare degenerative disorder linked to heterogeneous phenotypes including inclusion body myopathy (IBM) with Paget's disease of bone (PDB) and frontotemporal dementia (FTD) or IBMPFD, amyotrophic lateral sclerosis (ALS), Alzheimer's disease (AD), parkinsonism, Charcot-Marie Tooth disease (CMT), and spastic paraplegia. The complexity of VCP-MSP makes collaboration among stakeholders essential and necessitates a multi-disciplinary approach. The 2024 VCP International Conference was hosted at Caltech between February 22 and 25. Co-organized by Cure VCP Disease and Dr. Tsui-Fen Chou, the meeting aimed to center the patient as a research partner, harmonize diverse stakeholder engagement, and bridge the gap between basic and clinical neuroscience as it relates to VCP-MSP. Over 100 multi-disciplinary experts attended, ranging from basic scientists to clinicians to patient advocates. Attendees discussed genetics and clinical presentation, cellular and molecular mechanisms underlying disease, therapeutic approaches, and strategies for future VCP research. The conference included three roundtable discussions, 29 scientific presentations, 32 scientific posters, nine patient and caregiver posters, and a closing discussion forum. The following conference proceedings summarize these sessions, highlighting both the identified gaps in knowledge and the significant strides made towards understanding and treating VCP diseases. • This multidisciplinary conference triggered key discussions across all VCP stakeholders. • Scientific sessions and roundtables integrated patients and caregivers. • Participants collaboratively shaped future strategies for translational research. • Unique structure facilitated paradigm shift to focus on protein-protein interactions. • Priorities include standardizing protocols and creating shared research tools.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.048 | 0.011 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".