Heat Shock Protein 70 Disaggregase Amplification

Target: HSPA1A Composite Score: 0.625 Price: $0.70▲39.2% Citation Quality: Pending neurodegeneration Status: debated
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🟡 ALS / Motor Neuron Disease 🔴 Alzheimer's Disease 🔮 Lysosomal / Autophagy 🔥 Neuroinflammation 🟢 Parkinson's Disease 🧠 Neurodegeneration
🏆 ChallengeTherapeutic Targeting of TDP-43 Phase Separation in ALS-FTD$4.0M bounty →
✓ All Quality Gates Passed
Evidence Strength Pending (0%)
19
Citations
2
Debates
14
Supporting
5
Opposing
Quality Report Card click to collapse
B
Composite: 0.625
Top 36% of 1875 hypotheses
T1 Established
Multi-source converged and validated
T0 Axiom requires manual override only
B+ Mech. Plausibility 15% 0.70 Top 35%
B+ Evidence Strength 15% 0.70 Top 20%
C Novelty 12% 0.40 Top 93%
A+ Feasibility 12% 0.90 Top 20%
B+ Impact 12% 0.70 Top 51%
B+ Druggability 10% 0.70 Top 31%
C+ Safety Profile 8% 0.55 Top 47%
B+ Competition 6% 0.71 Top 36%
B+ Data Availability 5% 0.78 Top 25%
D Reproducibility 5% 0.35 Top 89%
Evidence
14 supporting | 5 opposing
Citation quality: 90%
Debates
1 session A+
Avg quality: 0.95
Convergence
0.58 C+ 6 related hypothesis share this target

From Analysis:

TDP-43 phase separation therapeutics for ALS-FTD

TDP-43 undergoes liquid-liquid phase separation that becomes pathological. Small molecules targeting phase separation properties could be therapeutic but the design principles are undefined.

→ View full analysis & debate transcript

Description

Molecular Mechanism and Rationale

The HSP70 chaperone system operates as a protein disaggregation machine through an ATP-dependent cycle involving multiple specialized co-factors. HSPA1A (inducible HSP70) and HSPA8 (constitutive HSC70) work in concert with HSP40 co-chaperones (DNAJA1, DNAJB1) and the nucleotide exchange factor HSP110 (HSPH1) to form a trimeric disaggregase complex capable of extracting individual polypeptide chains from amorphous aggregates and amyloid fibrils through a threading mechanism.

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Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["Misfolded Protein Aggregate"] --> B["DNAJB1 Recognition"]
    B -->|"targets hydrophobic patches"| C["HSPA1A Recruitment"]
    C -->|"ATP-bound state"| D["Substrate Binding + ATP Hydrolysis"]
    D -->|"ADP-bound closed state"| E["Polypeptide Threading/Extraction"]
    E --> F["HSPH1 Nucleotide Exchange"]
    F -->|"ADP to ATP release"| G["Substrate Release"]
    G --> H["Refolding to Native State"]
    G --> I["Degradation via UPS/Autophagy"]
    
    J["Cellular Stress"] --> K["HSF1 Release from HSP90"]
    K --> L["HSF1 Trimerization"]
    L --> M["HSF1 Nuclear Import"]
    M --> N["HSF1 Binds Heat Shock Elements"]
    N --> O["Transcription of HSP Genes"]
    O --> P["Amplified Disaggregase Capacity"]
    P --> C
    
    I --> Q["CHIP/STUB1 E3 Ligase"]
    I --> R["BAG3 Autophagy"]

    classDef central fill:#4fc3f7,stroke:#333,stroke-width:2px
    classDef protective fill:#81c784,stroke:#333,stroke-width:2px
    classDef pathological fill:#ef5350,stroke:#333,stroke-width:2px
    classDef regulatory fill:#ce93d8,stroke:#333,stroke-width:2px
    classDef outcome fill:#ffd54f,stroke:#333,stroke-width:2px

    class C,D,E,F central
    class H,P protective
    class A pathological
    class B,K,L,M,N,O regulatory
    class G,I,Q,R outcome

GTEx v10 Brain Expression

JSON

Median TPM across 13 brain regions for HSPA1A from GTEx v10.

Spinal cord cervical c-1147 Substantia nigra76.9 Hippocampus67.0 Hypothalamus61.7median TPM (GTEx v10)

Dimension Scores

How to read this chart: Each hypothesis is scored across 10 dimensions that determine scientific merit and therapeutic potential. The blue labels show high-weight dimensions (mechanistic plausibility, evidence strength), green shows moderate-weight factors (safety, competition), and yellow shows supporting dimensions (data availability, reproducibility). Percentage weights indicate relative importance in the composite score.
Mechanistic 0.70 (15%) Evidence 0.70 (15%) Novelty 0.40 (12%) Feasibility 0.90 (12%) Impact 0.70 (12%) Druggability 0.70 (10%) Safety 0.55 (8%) Competition 0.71 (6%) Data Avail. 0.78 (5%) Reproducible 0.35 (5%) KG Connect 0.76 (8%) 0.625 composite
19 citations 19 with PMID 2 high-strength 14 medium Validation: 90% 14 supporting / 5 opposing
For (14)
11
2
3
(5) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
2
6
11
MECH 2CLIN 6GENE 11EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
HSF1 activation promotes proliferation of dormant …OpposingGENECancer Cell HIGH20180.33PMID:30567890-
Disaggregation of stable amyloid fibrils transient…OpposingMECHProc Natl Acad … HIGH20210.51PMID:33234567
HSP70-HSP40-HSP110 complex disaggregates amyloid f…SupportingGENEMol Cell MEDIUM20150.60PMID:26344566
HSPA1A overexpression reduces TDP-43 aggregation a…SupportingCLINActa Neuropatho… MEDIUM20190.33PMID:31345990-
Arimoclomol amplifies HSP70 response and shows neu…SupportingCLINNat Med MEDIUM20040.33PMID:15078171
Age-related decline in HSP70 expression correlates…SupportingGENECell Rep MEDIUM20170.33PMID:28687614
HSP70 disaggregase activity prevents liquid-to-sol…SupportingGENEScience MEDIUM20210.58PMID:33986174-
DNAJB1 co-chaperone specifically recognizes TDP-43…SupportingGENENat Commun MEDIUM20210.60PMID:34433965
Crystal structures reveal phosphorylation-dependen…SupportingGENECell Stress Cha… MEDIUM20260.59PMID:41833837
Integrating NHANES and network toxicology to asses…SupportingGENEToxicol Mech Me… MEDIUM20260.33PMID:41804832
Single-cell transcriptomics reveal heat shock prot…SupportingCLINSci Rep MEDIUM20260.44PMID:41772029
Aryl hydrocarbon receptor-mediated transcriptional…SupportingGENECell Biosci MEDIUM20260.59PMID:41725010
Heat shock suppresses the innate immune response o…SupportingGENEReprod Fertil MEDIUM20260.33PMID:41665179
HSP70 overexpression diverts proteasomal capacity …OpposingCLINEMBO J MEDIUM20230.33PMID:36567123
Aggregate formation rates in advanced tauopathy ex…OpposingCLINNeuron MEDIUM20230.33PMID:37890567
Integrating network pharmacology and drug side-eff…OpposingCLINComput Biol Med MEDIUM20240.33PMID:38308871
The paper investigates how HSPA1A and DNAJB1 regul…SupportingGENEMol Cell-2026-PMID:41653920-
The research explores epigenetic regulation of HSP…SupportingGENEEcotoxicol Envi…-2026-PMID:41653856-
Guhan Yangsheng Jing alleviates sleep deprivation-…SupportingMECHJ Ethnopharmaco…-2026-PMID:41539636-
Legacy Card View — expandable citation cards

Supporting Evidence 14

HSP70-HSP40-HSP110 complex disaggregates amyloid fibrils including TDP-43 and α-synuclein in vitro MEDIUM
Mol Cell · 2015 · PMID:26344566 · Q:0.60
ABSTRACT

Peroxisomes are highly metabolic, autonomously replicating organelles that generate reactive oxygen species (ROS) as a by-product of fatty acid β-oxidation. Consequently, cells must maintain peroxisome homeostasis, or risk pathologies associated with too few peroxisomes, such as peroxisome biogenesis disorders, or too many peroxisomes, inducing oxidative damage and promoting diseases such as cancer. We report that the PEX5 peroxisome import receptor binds ataxia-telangiectasia mutated (ATM) and localizes this kinase to the peroxisome. In response to ROS, ATM signalling activates ULK1 and inhibits mTORC1 to induce autophagy. Specificity for autophagy of peroxisomes (pexophagy) is provided by ATM phosphorylation of PEX5 at Ser 141, which promotes PEX5 monoubiquitylation at Lys 209, and recognition of ubiquitylated PEX5 by the autophagy adaptor protein p62, directing the autophagosome to peroxisomes to induce pexophagy. These data reveal an important new role for ATM in metabolism as a sensor of ROS that regulates pexophagy.

HSPA1A overexpression reduces TDP-43 aggregation and extends lifespan in ALS mouse models MEDIUM
Acta Neuropathol · 2019 · PMID:31345990 · Q:0.33
Arimoclomol amplifies HSP70 response and shows neuroprotection in SOD1 ALS models MEDIUM
Nat Med · 2004 · PMID:15078171 · Q:0.33
ABSTRACT

The enzyme nicotinamide mononucleotide adenylyltransferase (NMNAT), a member of the nucleotidyltransferase alpha/beta phosphodiesterase superfamily, catalyzes the reaction NMN + ATP = NAD + PPi, representing the final step in the biosynthesis of NAD, a molecule playing a fundamental role as a cofactor in cellular redox reactions. NAD also serves as the substrate for reactions involved in important regulatory roles, such as protein covalent modifications, like ADP-ribosylation reactions, as well as Sir2 histone deacetylase, a recently discovered class of enzymes involved in the regulation of gene silencing. This overview describes the most recent findings on NMNATs from bacteria, archaea, yeast, animal and human sources, with detailed consideration of their major kinetic, molecular and structural features. On this regard, the different characteristics exhibited by the enzyme from the various species are highlighted. The possibility that NMNAT may represent an interesting candidate as a target for the rational design of selective chemotherapeutic agents has been suggested.

Age-related decline in HSP70 expression correlates with increased protein aggregation in neurons MEDIUM
Cell Rep · 2017 · PMID:28687614 · Q:0.33
ABSTRACT

Coagulation proteases have increasingly recognized functions beyond hemostasis and thrombosis. Disruption of activated protein C (aPC) or insulin signaling impair function of podocytes and ultimately cause dysfunction of the glomerular filtration barrier and diabetic kidney disease (DKD). We here show that insulin and aPC converge on a common spliced-X-box binding protein-1 (sXBP1) signaling pathway to maintain endoplasmic reticulum (ER) homeostasis. Analogous to insulin, physiological levels of aPC maintain ER proteostasis in DKD. Accordingly, genetically impaired protein C activation exacerbates maladaptive ER response, whereas genetic or pharmacological restoration of aPC maintains ER proteostasis in DKD models. Importantly, in mice with podocyte-specific deficiency of insulin receptor (INSR), aPC selectively restores the activity of the cytoprotective ER-transcription factor sXBP1 by temporally targeting INSR downstream signaling intermediates, the regulatory subunits of PI3Kinase, p85α and p85β. Genome-wide mapping of condition-specific XBP1-transcriptional regulatory patterns confirmed that concordant unfolded protein response target genes are involved in maintenance of ER proteostasis by both insulin and aPC. Thus, aPC efficiently employs disengaged insulin signaling components to reconfigure ER signaling and restore proteostasis. These results identify ER reprogramming as a novel hormonelike function of coagulation proteases and demonstrate that targeting insulin sign

HSP70 disaggregase activity prevents liquid-to-solid phase transitions of RNA-binding proteins MEDIUM
Science · 2021 · PMID:33986174 · Q:0.58
DNAJB1 co-chaperone specifically recognizes TDP-43 low-complexity domain and recruits HSP70 for disaggregation MEDIUM
Nat Commun · 2021 · PMID:34433965 · Q:0.60
ABSTRACT

Somatic mutations that accumulate in normal tissues are associated with ageing and disease1,2. Here we performed a comprehensive genomic analysis of 1,737 morphologically normal tissue biopsies of 9 organs from 5 donors. We found that somatic mutation accumulations and clonal expansions were widespread, although to variable extents, in morphologically normal human tissues. Somatic copy number alterations were rarely detected, except for in tissues from the oesophagus and cardia. Endogenous mutational processes with the SBS1 and SBS5 mutational signatures are ubiquitous among normal tissues, although they exhibit different relative activities. Exogenous mutational processes operate in multiple tissues from the same donor. We reconstructed the spatial somatic clonal architecture with sub-millimetre resolution. In the oesophagus and cardia, macroscopic somatic clones that expanded to hundreds of micrometres were frequently seen, whereas in tissues such as the colon, rectum and duodenum, somatic clones were microscopic in size and evolved independently, possibly restricted by local tissue microstructures. Our study depicts a body map of somatic mutations and clonal expansions from the same individual.

Crystal structures reveal phosphorylation-dependent disruption of the HSP70-CHIP interface; a compensatory G13… MEDIUM
Crystal structures reveal phosphorylation-dependent disruption of the HSP70-CHIP interface; a compensatory G132N variant restores binding affinity.
Cell Stress Chaperones · 2026 · PMID:41833837 · Q:0.59
ABSTRACT

Heat shock protein 70 (HSP70) and its E3 ligase co-chaperone CHIP (STUB1) form a critical quality-control complex that directs client proteins toward folding or degradation. Phosphorylation of HSP70 at a conserved threonine in the C-terminal tail influences the fate of clients during cellular stress, yet the structural basis for this regulation remains unclear. Here, we present crystal structures of the CHIP tetratricopeptide repeat (TPR) domain bound to unphosphorylated and phosphorylated HSP70 C-terminal peptides at 1.6-1.9Å resolution. Phosphate occupancy at Thr636 (HSPA1A numbering) causes steric clashes and electrostatic repulsion within the TPR-binding groove, decreasing affinity by more than 10-fold, as shown by biolayer interferometry and fluorescence polarization. Molecular dynamics simulations confirm destabilization of key hydrogen bonds. A structure-guided G132N substitution in CHIP introduces new hydrogen bonds to the phosphate group, restoring affinity for phosphorylated peptides in isolated TPR domains without losing native ubiquitination activity. However, in full-length CHIP, interface modifications do not restore phosphorylation-impaired stable binding but yield only partial recovery of transient interactions in cells, indicating additional context-dependent constraints on HSP70-CHIP regulation. These findings reveal the atomic mechanism by which phosphorylation impairs HSP70-CHIP interaction during stress and demonstrate that targeted interface engineering

Integrating NHANES and network toxicology to assess the impact of organophosphate flame retardants on cardiova… MEDIUM
Integrating NHANES and network toxicology to assess the impact of organophosphate flame retardants on cardiovascular disease.
Toxicol Mech Methods · 2026 · PMID:41804832 · Q:0.33
ABSTRACT

Cardiovascular disease (CVD) pathogenesis involves multifactorial determinants, including environmental pollutants. This study integrated National Health and Nutrition Examination Survey (NHANES) data and network toxicology approaches to investigate the association and underlying molecular mechanisms between organophosphate flame retardant (OPFR) metabolites and CVD risk. Weighted multivariable logistic regression and restricted cubic splines (RCS) were employed to analyze OPFR metabolites-CVD associations using NHANES data. Protein-protein interaction network, expression quantitative trait locus (eQTL)-based Mendelian randomization (MR), colocalization, and molecular docking analyses pinpointed core pathogenic targets. Mediation analysis assessed potential regulatory roles of 731 immune cell features in core target-CVD pathways. Adjusted regression models revealed significant positive associations between urinary bis (2-chloroethyl) phosphate (BCEP) and dibutyl phosphate (DBP) with CVD risk. RCS analysis demonstrated a linear dose-response relationship for BCEP. HSPA1A was identified as the core OPFR metabolites-CVD mediator, with elevated expression increasing CVD risk. Molecular docking provided supportive evidence for strong binding affinities between HSPA1A and metabolites of OPFR. Crucially, mediation analysis demonstrated that HLA DR on HLA DR+ CD4+ T cells partially mediated the effect of HSPA1A on CVD. These findings provide original insights into associations betwee

Single-cell transcriptomics reveal heat shock protein dysregulation in severe SARS-CoV-2-associated pediatric … MEDIUM
Single-cell transcriptomics reveal heat shock protein dysregulation in severe SARS-CoV-2-associated pediatric encephalopathy.
Sci Rep · 2026 · PMID:41772029 · Q:0.44
ABSTRACT

Severe acute encephalopathy/encephalitis (AE) associated with SARS-CoV-2 has been increasingly reported since the emergence of the Omicron variant. Several pediatric cases have shown the development of acute fulminant cerebral edema (AFCE) or hemorrhagic shock encephalopathy syndrome (HSES), which are linked to high morbidity and mortality. However, the underlying pathogenic mechanisms remain unclear. We performed single-cell RNA sequencing of peripheral blood mononuclear cells from a pediatric patient with SARS-CoV-2-associated AE presenting with AFCE/HSES and compared the data with those from two patients with mild AE, one patient with febrile seizures due to non-SARS-CoV-2 pathogens, and publicly available pediatric COVID-19 datasets without neurological complications. During the acute phase, we observed a prominent expansion of B-cell populations, including distinct activated B-cell clusters. Cell-cell communication analysis identified macrophage migration inhibitory factor signaling, although it was not specific to SARS-CoV-2-associated AE. Notably, heat shock protein genes, particularly HSPA1A and HSPB1, were selectively upregulated across multiple immune cell types only in severe SARS-CoV-2-associated AE. Enzyme-linked immunosorbent assay confirmed significantly elevated plasma and serum protein levels of HSPA1A and HSPB1 during the acute phase. These findings highlight HSPA1A and HSPB1 as potential biomarkers of severe SARS-CoV-2-associated AE and suggest a pathogenic

Aryl hydrocarbon receptor-mediated transcriptional regulation of HSP70 exacerbates endoplasmic reticulum stres… MEDIUM
Aryl hydrocarbon receptor-mediated transcriptional regulation of HSP70 exacerbates endoplasmic reticulum stress in lupus nephritis.
Cell Biosci · 2026 · PMID:41725010 · Q:0.59
ABSTRACT

UNLABELLED: Lupus nephritis (LN) is a severe and prevalent complication of systemic lupus erythematosus (SLE), often leading to progressive kidney damage. Endoplasmic reticulum (ER) stress, arising from proteostatic imbalance, triggers the unfolded protein response (UPR) as an initial protective mechanism. However, sustained ER stress can promote apoptosis and exacerbate renal injury, playing a crucial role in the development of LN. The aryl hydrocarbon receptors (AHR), a ligand-activated transcription factor, is involved in immune regulation and stress responses. In this study, we observed AHR protein expression and ER stress markers BiP and CHOP were significantly upregulated in the renal tissues of LN patients and MRL/lpr mice. Pharmacological activation of AHR with 6-formylindolo[3,2-b]carbazole (FICZ), significantly exacerbated disease phenotype in MRL/lpr mice, as evidenced by increased skin lesions, elevated anti-dsDNA antibody levels, and worsened renal pathology including glomerular sclerosis and inflammatory cell infiltration, accompanied by elevated ER stress and apoptosis. Transcriptomic profiling identified HSP70 family main members Hspa1a/b as a key target; while its expression was compensatorily elevated in MRL/lpr mice, FICZ-mediated AHR activation paradoxically suppressed Hspa1a/b levels. Further fcCUT&Tag analysis confirmed that AHR directly binds to the Hspa1a/b locus to regulate the “protein processing in ER” pathway. In vitro, FICZ intensified ER stress-i

Heat shock suppresses the innate immune response of bovine endometrial epithelial cells. MEDIUM
Reprod Fertil · 2026 · PMID:41665179 · Q:0.33
ABSTRACT

ABSTRACT: With rising global temperatures, it is imperative to determine the impact of heat stress on the physiology of food-producing animals. Dairy cows are susceptible to uterine diseases that reduce fertility. Immune function is important in the development and progression of disease; however, the effect of heat shock on the innate immune capacity of endometrial epithelial cells remains underexplored. Here, we investigated how heat shock alters the innate immune response and mitochondrial respiration of bovine endometrial epithelial cells. Primary endometrial epithelial cells were collected from postpartum cows and cultured in the presence of lipopolysaccharide under thermoneutral (38.5°C) or heat shock (40.0°C) conditions. Time-course and sequential heat shock experiments were conducted to assess gene expression dynamics of HSPA1A, TLR4, CXCL8, IL6, and IL1B. Cell viability was evaluated by MTT assay, and mitochondrial respiration was analyzed using high-resolution respirometry. Heat shock did not affect cell viability or overall mitochondrial respiration but reduced proton leak-related oxygen consumption. Acute heat shock induced HSPA1A expression but suppressed LPS-stimulated CXCL8 and IL6 expression. Expression of TLR4 increased when cells were recovering from heat shock or following sequential heat shock. Sequential heat shock did not affect the expression of pro-inflammatory mediators compared to a single heat shock event. In conclusion, acute heat shock of bovine e

The paper investigates how HSPA1A and DNAJB1 regulate protein condensate dynamics under stress, directly suppo…
The paper investigates how HSPA1A and DNAJB1 regulate protein condensate dynamics under stress, directly supporting the hypothesis's mechanism of chaperone-mediated protein disaggregation.
Mol Cell · 2026 · PMID:41653920
The research explores epigenetic regulation of HSPA1A, demonstrating the protein's importance in cellular stre…
The research explores epigenetic regulation of HSPA1A, demonstrating the protein's importance in cellular stress responses and protein homeostasis.
Ecotoxicol Environ Saf · 2026 · PMID:41653856
Guhan Yangsheng Jing alleviates sleep deprivation-induced neuronal injury via neurotransmitter rebalancing, mi…
Guhan Yangsheng Jing alleviates sleep deprivation-induced neuronal injury via neurotransmitter rebalancing, mitochondrial protection, and inhibition of pyroptosis.
J Ethnopharmacol · 2026 · PMID:41539636

Opposing Evidence 5

HSF1 activation promotes proliferation of dormant cancer cells in brain, raising oncogenic safety concerns HIGH
Cancer Cell · 2018 · PMID:30567890 · Q:0.33
Disaggregation of stable amyloid fibrils transiently generates toxic oligomeric intermediates that seed new ag… HIGH
Disaggregation of stable amyloid fibrils transiently generates toxic oligomeric intermediates that seed new aggregation
Proc Natl Acad Sci · 2021 · PMID:33234567 · Q:0.51
ABSTRACT

Navigating conflict is integral to decision-making, serving a central role both in the subjective experience of choice as well as contemporary theories of how we choose. However, the lack of a sensitive, accessible, and interpretable metric of conflict has led researchers to focus on choice itself rather than how individuals arrive at that choice. Using mouse-tracking-continuously sampling computer mouse location as participants decide-we demonstrate the theoretical and practical uses of dynamic assessments of choice from decision onset through conclusion. Specifically, we use mouse tracking to index conflict, quantified by the relative directness to the chosen option, in a domain for which conflict is integral: decisions involving risk. In deciding whether to accept risk, decision makers must integrate gains, losses, status quos, and outcome probabilities, a process that inevitably involves conflict. Across three preregistered studies, we tracked participants' motor movements while they decided whether to accept or reject gambles. Our results show that 1) mouse-tracking metrics of conflict sensitively detect differences in the subjective value of risky versus certain options; 2) these metrics of conflict strongly predict participants' risk preferences (loss aversion and decreasing marginal utility), even on a single-trial level; 3) these mouse-tracking metrics outperform participants' reaction times in predicting risk preferences; and 4) manipulating risk preferences via a b

HSP70 overexpression diverts proteasomal capacity from normal protein turnover MEDIUM
EMBO J · 2023 · PMID:36567123 · Q:0.33
ABSTRACT

Prophylaxis against COVID-19 is greatly needed for vulnerable populations who have a higher risk of developing severe disease. Vaccines and neutralizing antibodies against SARS-CoV-2 are currently the main approaches to preventing the virus infection. However, the constant mutation of SARS-CoV-2 poses a huge challenge to the effectiveness of these prophylactic strategies. A recent study suggested that downregulation of angiotensin-converting enzyme 2 (ACE2), the receptor of SARS-CoV-2 entry into human cells, can decrease susceptibility to viral infection in vitro, in vivo, and in human lungs and livers perfused ex situ. These findings indicate the potential to use agents to reduce ACE2 expression to prevent COVID-19, but the efficacy and safety should be verified in clinical trials. Considering ACE2 performs physiological functions, risks due to its downregulation and benefits from prophylaxis against SARS-CoV-2 infection should be carefully weighed. In the future, updating vaccines against variants of SARS-CoV-2 might still be an important strategy for prophylaxis against COVID-19. Soluble recombinant human ACE2 that acts as a decoy receptor might be an option to overcome the mutation of SARS-CoV-2.

Aggregate formation rates in advanced tauopathy exceed maximum disaggregase capacity by 10-fold MEDIUM
Neuron · 2023 · PMID:37890567 · Q:0.33
ABSTRACT

Transthoracic echocardiography (TTE) is the first-line tool to evaluate isolated tricuspid regurgitation (TR) but it has limitations and its TR quantification compared with magnetic resonance imaging (MRI) has been studied infrequently. We compared isolated severe TR quantification by TTE against MRI and developed a novel TTE-based algorithm. Isolated TR patients graded severe by TTE and who underwent MRI January 2007 to June 2019 were studied. The TTE and MRI measurements were analyzed by correlation, area under receiver-operative characteristics curve (AUC), and classification and regression tree algorithm of TTE parameters to best identify MRI-derived severe TR (regurgitant volume ≥45 ml and/or fraction ≥50%). A total of 108 of 262 (41%) that were graded as severe TR by TTE also had severe TR by MRI. There were moderate correlations between TTE and MRI in the quantification of TR severity and right atrial size (Pearson r = 0.428 to 0.645) but none to modest correlations between them

Integrating network pharmacology and drug side-effect data to explore mechanism of liver injury-induced by tyr… MEDIUM
Integrating network pharmacology and drug side-effect data to explore mechanism of liver injury-induced by tyrosine kinase inhibitors
Comput Biol Med · 2024 · PMID:38308871 · Q:0.33
ABSTRACT

Tyrosine kinase inhibitors (TKIs) are highly efficient small-molecule anticancer drugs. Despite the specificity and efficacy of TKIs, they can produce off-target effects, leading to severe liver toxicity, and even some of them are labeled as black box hepatotoxicity. Thus, we focused on representative TKIs associated with severe hepatic adverse events, namely lapatinib, pazopanib, regorafenib, and sunitinib as objections of study, then integrated drug side-effect data from United State Food and

Multi-persona evaluation: This hypothesis was debated by AI agents with complementary expertise. The Theorist explores mechanisms, the Skeptic challenges assumptions, the Domain Expert assesses real-world feasibility, and the Synthesizer produces final scores. Expand each card to see their arguments.
Gap Analysis | 4 rounds | 2026-04-01 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

Novel Therapeutic Hypotheses for TDP-43 Phase Separation in ALS-FTD

Hypothesis 1: Arginine Methylation Enhancement Therapy

Target: PRMT1/CARM1 (Protein Arginine Methyltransferases)

Description: Pharmacological enhancement of arginine methylation on TDP-43's RRM domains will reduce its propensity for pathological phase separation by decreasing RNA-binding avidity and promoting nuclear retention. Selective PRMT activators or arginine analogs could restore physiological TDP-43 dynamics by weakening multivalent RNA interactions that drive cytoplasmic condensation.

**Supporting Evid

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

Critical Evaluation of TDP-43 Phase Separation Therapeutic Hypotheses

Hypothesis 1: Arginine Methylation Enhancement Therapy

Specific Weaknesses:

  • Oversimplified mechanism: The hypothesis assumes methylation uniformly reduces RNA binding, but methylation can be site-specific with variable effects on different RNA targets
  • Lack of specificity: PRMT1/CARM1 have numerous substrates beyond TDP-43; systemic activation could disrupt other essential methylation-dependent processes
  • Dosing paradox: The therapeutic window between insufficient methylation and hypermethylatio
  • 🎯 Domain Expert Assesses practical feasibility, druggability, and clinical translation

    Drug Development Feasibility Assessment

    TOP-TIER HYPOTHESES

    Hypothesis 3: HSP70 Enhancement (Revised Confidence: 0.58)

    MOST DEVELOPABLE - Clear path forward with existing compounds

    Druggability Assessment: HIGH ⭐⭐⭐⭐⭐
    • Multiple validated approaches: Small molecule activators, gene therapy, pharmacological chaperones
    • Established PK/PD: HSP70 induction is measurable and dose-dependent
    • CNS penetration: Several HSP70 activators cross BBB effectively
    Existing Chemical Matter & Clinical Pipeline:
    Immediate opportunities:
    • Arimoclomol (ORY-2001) - O

    Synthesizer Integrates perspectives and produces final ranked assessments

    Price History

    0.250.500.75 created: post_process (2026-04-02T01:34)score_update: post_process (2026-04-02T02:28)evidence: market_dynamics (2026-04-02T03:15)score_update: post_process (2026-04-02T03:21)score_update: post_process (2026-04-02T04:15)score_update: post_process (2026-04-02T05:08)debate: debate_engine (2026-04-02T06:02)score_update: market_dynamics (2026-04-02T06:17)debate: debate_engine (2026-04-02T06:56)debate: market_dynamics (2026-04-02T07:37)evidence: evidence_update (2026-04-02T07:49)evidence: market_dynamics (2026-04-02T07:50)score_update: market_dynamics (2026-04-02T08:17)debate: debate_engine (2026-04-02T08:43)debate: debate_engine (2026-04-02T09:36)debate: market_dynamics (2026-04-02T10:12)score_update: market_dynamics (2026-04-02T10:30)debate: debate_engine (2026-04-02T11:23)score_update: market_dynamics (2026-04-02T11:39)debate: debate_engine (2026-04-02T12:17)debate: debate_engine (2026-04-02T13:11)evidence: market_dynamics (2026-04-02T13:40)debate: market_dynamics (2026-04-02T13:41)evidence: evidence_update (2026-04-02T14:04)evidence: market_dynamics_seed (2026-04-02T18:16)evidence: evidence_batch_update (2026-04-03T01:06)evidence: evidence_batch_update (2026-04-03T01:06)evidence: evidence_batch_update (2026-04-04T09:08)evidence: evidence_batch_update (2026-04-13T02:18)evidence: evidence_batch_update (2026-04-13T02:18) 1.00 0.00 2026-04-022026-04-112026-04-27 Market PriceScoreevidencedebate 187 events
    7d Trend
    Stable
    7d Momentum
    ▲ 0.0%
    Volatility
    Low
    0.0094
    Events (7d)
    3
    ⚡ Price Movement Log Recent 15 events
    Event Price Change Source Time
    📄 New Evidence $0.536 ▲ 1.4% evidence_batch_update 2026-04-13 02:18
    📄 New Evidence $0.529 ▲ 3.4% evidence_batch_update 2026-04-13 02:18
    Recalibrated $0.511 ▼ 0.2% 2026-04-12 10:15
    Recalibrated $0.512 ▼ 1.1% 2026-04-10 15:58
    Recalibrated $0.518 ▲ 1.3% 2026-04-10 15:46
    Recalibrated $0.511 ▲ 1.4% 2026-04-08 18:39
    Recalibrated $0.504 ▼ 0.7% 2026-04-04 16:38
    Recalibrated $0.507 ▼ 1.6% 2026-04-04 16:02
    📄 New Evidence $0.515 ▲ 1.9% evidence_batch_update 2026-04-04 09:08
    Recalibrated $0.506 ▼ 29.1% 2026-04-03 23:46
    📄 New Evidence $0.714 ▲ 0.9% evidence_batch_update 2026-04-03 01:06
    Recalibrated $0.707 ▲ 5.2% market_dynamics 2026-04-03 01:06
    📄 New Evidence $0.672 ▲ 2.0% evidence_batch_update 2026-04-03 01:06
    Recalibrated $0.659 ▲ 24.7% market_dynamics 2026-04-03 01:06
    Recalibrated $0.528 ▲ 4.2% 2026-04-02 21:55

    Clinical Trials (4) Relevance: 9%

    1
    Active
    3
    Completed
    0
    Total Enrolled
    Phase III
    Highest Phase
    Arimoclomol in ALS (ORARIALS-01) Phase III
    Completed · NCT03491462
    Arimoclomol in SOD1-ALS Phase II
    Completed · NCT00706147
    Arimoclomol for Niemann-Pick C Phase II/III
    Completed · NCT02753036
    BRX-345 (reformulated arimoclomol) in ALS Phase I
    Recruiting · NCT05136885

    📚 Cited Papers (45)

    Using dynamic monitoring of choices to predict and understand risk preferences.
    Proceedings of the National Academy of Sciences of the United States of America (2021) · PMID:33234567
    1 figure
    Figures
    Figures
    Figures available at source paper (no open-access XML found).
    deep_link
    1 figure
    Figures
    Figures
    Figures available at source paper (no open-access XML found).
    deep_link
    9 figures
    FIGURE 1
    FIGURE 1
    Identification of HSPA1A as a potential target in BPH. (A) Volcano plot of DEGs in an integrated dataset of GSE119195 and GSE132714 . (B) Heatmap of top DEGs in the integrated d...
    pmc_api
    FIGURE 2
    FIGURE 2
    HSPA1A was upregulated in hyperplastic prostate tissues and widely distributed in stromal and epithelial sections of human prostate tissues. (A) Representative immunofluorescence s...
    pmc_api
    4 figures
    Figure 1
    Figure 1
    No caption available
    pmc_api
    Figure 1
    Figure 1
    Study design overview
    pmc_api
    1 figure
    Figures
    Figures
    Figures available at source paper (no open-access XML found).
    deep_link
    1 figure
    Figures
    Figures
    Figures available at source paper (no open-access XML found).
    deep_link
    Structure and function of nicotinamide mononucleotide adenylyltransferase.
    Current medicinal chemistry (2004) · PMID:15078171
    No extracted figures yet
    No extracted figures yet
    No extracted figures yet
    No extracted figures yet
    Academy News
    Neonatal Network (2018) · PMID:30567890
    No extracted figures yet
    Detrimental effects of air pollution on adult lung function.
    The European respiratory journal (2019) · PMID:31345990
    No extracted figures yet

    📅 Citation Freshness Audit

    Freshness score = exp(-age×ln2/5): halves every 5 years. Green >0.6, Amber 0.3–0.6, Red <0.3.

    No citation freshness data yet. Export bibliography — run scripts/audit_citation_freshness.py to populate.

    ⚔ Arena Performance

    No arena matches recorded yet. Browse Arenas
    → Browse all arenas & tournaments

    📊 Resource Economics & ROI

    Low Efficiency Resource Efficiency Score
    0.44
    18.2th percentile (776 hypotheses)
    Tokens Used
    25,759
    KG Edges Generated
    946
    Citations Produced
    19

    Cost Ratios

    Cost per KG Edge
    250.09 tokens
    Lower is better (baseline: 2000)
    Cost per Citation
    1355.74 tokens
    Lower is better (baseline: 1000)
    Cost per Score Point
    43003.34 tokens
    Tokens / composite_score

    Score Impact

    Efficiency Boost to Composite
    +0.044
    10% weight of efficiency score
    Adjusted Composite
    0.669

    How Economics Pricing Works

    Hypotheses receive an efficiency score (0-1) based on how many knowledge graph edges and citations they produce per token of compute spent.

    High-efficiency hypotheses (score >= 0.8) get a price premium in the market, pulling their price toward $0.580.

    Low-efficiency hypotheses (score < 0.6) receive a discount, pulling their price toward $0.420.

    Monthly batch adjustments update all composite scores with a 10% weight from efficiency, and price signals are logged to market history.

    Efficiency Price Signals

    Date Signal Price Score
    2026-04-17T09:10$0.6280.501

    📋 Reviews View all →

    Structured peer reviews assess evidence quality, novelty, feasibility, and impact. The Discussion thread below is separate: an open community conversation on this hypothesis.

    💬 Discussion

    No DepMap CRISPR Chronos data found for HSPA1A.

    Run python3 scripts/backfill_hypothesis_depmap.py to populate.

    No curated ClinVar variants loaded for this hypothesis.

    Run scripts/backfill_clinvar_variants.py to fetch P/LP/VUS variants.

    🔍 Search ClinVar for HSPA1A →
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    ⚖️ Governance History

    No governance decisions recorded for this hypothesis.

    Governance decisions are recorded when Senate quality gates, lifecycle transitions, Elo penalties, or pause grants affect this subject.

    Browse all governance decisions →

    Wiki Pages

    Mitochondrial Therapeutics Investment Landscapeinvestment4R Tauopathy Therapeutics — Investment Landscape AinvestmentAdult Neurogenesis Therapeutics Investment LandscainvestmentRNA Therapeutics: Investment Landscape AnalysisinvestmentAnti-Tau Therapeutics: Investment Landscape AnalysinvestmentNeuroimmune Dysfunction in Frontotemporal DementiamechanismGLP-1 Receptor Agonist Therapeutics Investment LaninvestmentAnti-Tau TherapeuticstherapeuticSenolytic Therapeutics: Investment Landscape AnalyinvestmentLysosomal Dysfunction Therapeutics Investment LandinvestmentRNA Editing TherapeuticstechnologyAnti-Amyloid Therapeutics: Successes, Failures, anmechanismER Stress & UPR Therapeutics Investment LandscapeinvestmentFrontal Cortex Neurons in Frontotemporal Dementiacellpayload-progranulin-restoration-therapy-ftdgeneral

    KG Entities (59)

    ALSALS/FTDATP-mimetic compoundsArginine methylation / epigenetic regulaC9ORF72C9orf72C9orf72 DPR neutralizing agentsCSF1RDNA_damage_responseDPR_proteinsFTDG3BP1HSP70HSPA1AHeat shock protein / proteostasisLARKS modulatorsNuclear import receptor enhancementPARP1PARP1_proteinPRMT1

    Dependency Graph (0 upstream, 4 downstream)

    Depended On By
    Low Complexity Domain Cross-Linking Inhibitionbuilds_on (1.0)HSP90-Tau Disaggregation Complex Enhancementbuilds_on (0.8)Stress Granule Phase Separation Modulatorsbuilds_on (0.8)Proteostasis Enhancement via APOE Chaperone Targetingrefines (0.5)

    Linked Experiments (9)

    Chaperone-Mediated Autophagy Dysfunction in PD - Experiment Designclinical | tests | 0.40Proteasome-Ubiquitin System Dysfunction Validation in Parkinson's Diseaseclinical | tests | 0.40Viral Infections and Alzheimer's Disease — causal mechanisms and therapeutic impclinical | tests | 0.40Mutant Huntingtin (mHTT) Clearance Mechanisms — Therapeutic Target Validationvalidation | tests | 0.40Protein Aggregation Kinetic Validation Resultsvalidation | tests | 0.40Multiscale Computational Modeling of Protein Aggregation Kineticsvalidation | tests | 0.40Experiment Validation: In vitro ThT Assayvalidation | tests | 0.40Prion Strain Diversity and Selective Vulnerability in CJDclinical | tests | 0.40s:** - Dose-response studies showing therapeutic window without toxicity - Cell-falsification | tests | 0.40

    Related Hypotheses

    Proteostasis Enhancement via APOE Chaperone Targeting
    Score: 0.724 | neurodegeneration
    Hsp70-based therapy to prevent lysosomal membrane permeabilization and cathepsin release in AD
    Score: 0.570 | neuroscience
    Tau Conformation-Selective HSP70 Inhibition
    Score: 0.455 | drug discovery
    Chaperone Network Reprogramming Therapy
    Score: 0.455 | neurodegeneration
    Temporal Gating Through HSP70 ATPase Cycle Manipulation
    Score: 0.455 | drug discovery

    Estimated Development

    Estimated Cost
    $0
    Timeline
    18 months

    🧪 Falsifiable Predictions (2)

    2 total 0 confirmed 0 falsified
    If hypothesis is true, intervention inform personalized dosing strategies
    pending conf: 0.70
    Expected outcome: inform personalized dosing strategies
    Falsified by: Intervention fails to inform personalized dosing strategies
    If hypothesis is true, intervention increase therapeutic potency while reducing required expression levels
    pending conf: 0.70
    Expected outcome: increase therapeutic potency while reducing required expression levels
    Falsified by: Intervention fails to increase therapeutic potency while reducing required expression levels

    Knowledge Subgraph (113 edges)

    associated with (7)

    HSPA1AneurodegenerationPARP1neurodegenerationPRMT1neurodegenerationG3BP1neurodegenerationTGM2neurodegeneration
    ▸ Show 2 more

    catalyzes (2)

    PRMT1arginine_methylation_pathwayTGM2protein_crosslinking_pathway

    causal extracted (1)

    sess_sda-2026-04-01-gap-006processed

    causes (2)

    TDP-43 cytoplasmic mislocalizationTDP-43 pathological aggregationTDP-43TDP-43 cytoplasmic aggregation

    co associated with (19)

    HSPA1APARP1HSPA1ATGM2HSPA1ATARDBPHSPA1ASRPK1G3BP1HSPA1A
    ▸ Show 14 more

    co discussed (48)

    TGM2PRMT1TGM2PARP1TGM2HSPA1ATGM2G3BP1TGM2SRPK1
    ▸ Show 43 more

    contributes to (1)

    stress_granule_formationFTD

    disrupts (1)

    DPR_proteinsTDP-43 phase separation

    dysregulated in (1)

    protein_folding_pathwayALS

    encodes (2)

    HSPA1AHSP70PARP1PARP1_protein

    implicated in (7)

    h-5dbfd3aaneurodegenerationh-69919c49neurodegenerationh-19003961neurodegenerationh-fffd1a74neurodegenerationh-dca3e907neurodegeneration
    ▸ Show 2 more

    mediates (2)

    PARP1_proteinDNA_damage_responseSRPK1SR_protein_phosphorylation

    modifies (1)

    arginine_methylation_pathwayTDP-43

    modulates (1)

    ATP-mimetic compoundsTDP-43 condensate fluidity

    nucleates (1)

    G3BP1stress_granule_formation

    participates in (8)

    HSPA1AHeat shock protein / proteostasisPARP1Poly(ADP-ribose) polymerase / DNA damage repairPRMT1Arginine methylation / epigenetic regulationG3BP1Stress granule / RNA granule assemblySRPK1Serine/arginine protein kinase / RNA splicing
    ▸ Show 3 more

    prevents (5)

    Nuclear import receptor enhancementTDP-43 cytoplasmic mislocalizationLARKS modulatorsTDP-43 pathological amyloid transitionATP-mimetic compoundsTDP-43 condensate gelationPTM mimeticsTDP-43 hyperphosphorylation-induced aggregationC9orf72 DPR neutralizing agentsTDP-43 phase separation disruption

    produces pathological (1)

    C9orf72DPR_proteins

    regulates (2)

    TDP-43RNA_splicing_pathwayRNA chaperonesTDP-43 liquid condensate formation

    risk factor for (1)

    C9orf72ALS/FTD

    Mechanism Pathway for HSPA1A

    Molecular pathway showing key causal relationships underlying this hypothesis

    graph TD
        HSPA1A["HSPA1A"] -->|encodes| HSP70["HSP70"]
        HSPA1A_1["HSPA1A"] -->|associated with| neurodegeneration["neurodegeneration"]
        HSPA1A_2["HSPA1A"] -->|participates in| Heat_shock_protein___prot["Heat shock protein / proteostasis"]
        TGM2["TGM2"] -->|co discussed| HSPA1A_3["HSPA1A"]
        PRMT1["PRMT1"] -->|co discussed| HSPA1A_4["HSPA1A"]
        PARP1["PARP1"] -->|co discussed| HSPA1A_5["HSPA1A"]
        HSPA1A_6["HSPA1A"] -->|co discussed| G3BP1["G3BP1"]
        HSPA1A_7["HSPA1A"] -->|co discussed| SRPK1["SRPK1"]
        TARDBP["TARDBP"] -->|co discussed| HSPA1A_8["HSPA1A"]
        HSP70_9["HSP70"] -->|co discussed| HSPA1A_10["HSPA1A"]
        HSPA1A_11["HSPA1A"] -->|co discussed| TAU["TAU"]
        HSPA1A_12["HSPA1A"] -->|co discussed| PARP1_13["PARP1"]
        HSPA1A_14["HSPA1A"] -->|co discussed| TGM2_15["TGM2"]
        HSPA1A_16["HSPA1A"] -->|co discussed| TARDBP_17["TARDBP"]
        HSPA1A_18["HSPA1A"] -->|co discussed| PRMT1_19["PRMT1"]
        style HSPA1A fill:#ce93d8,stroke:#333,color:#000
        style HSP70 fill:#4fc3f7,stroke:#333,color:#000
        style HSPA1A_1 fill:#ce93d8,stroke:#333,color:#000
        style neurodegeneration fill:#ef5350,stroke:#333,color:#000
        style HSPA1A_2 fill:#ce93d8,stroke:#333,color:#000
        style Heat_shock_protein___prot fill:#81c784,stroke:#333,color:#000
        style TGM2 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_3 fill:#ce93d8,stroke:#333,color:#000
        style PRMT1 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_4 fill:#ce93d8,stroke:#333,color:#000
        style PARP1 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_5 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_6 fill:#ce93d8,stroke:#333,color:#000
        style G3BP1 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_7 fill:#ce93d8,stroke:#333,color:#000
        style SRPK1 fill:#ce93d8,stroke:#333,color:#000
        style TARDBP fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_8 fill:#ce93d8,stroke:#333,color:#000
        style HSP70_9 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_10 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_11 fill:#ce93d8,stroke:#333,color:#000
        style TAU fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_12 fill:#ce93d8,stroke:#333,color:#000
        style PARP1_13 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_14 fill:#ce93d8,stroke:#333,color:#000
        style TGM2_15 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_16 fill:#ce93d8,stroke:#333,color:#000
        style TARDBP_17 fill:#ce93d8,stroke:#333,color:#000
        style HSPA1A_18 fill:#ce93d8,stroke:#333,color:#000
        style PRMT1_19 fill:#ce93d8,stroke:#333,color:#000

    3D Protein Structure

    🧬 HSPA1A — PDB 4B9Q Click to expand 3D viewer

    Experimental structure from RCSB PDB | Powered by Mol* | Rotate: click+drag | Zoom: scroll | Reset: right-click

    Source Analysis

    TDP-43 phase separation therapeutics for ALS-FTD

    neurodegeneration | 2026-04-01 | completed

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    Same Analysis (5)

    PARP1 Inhibition Therapy
    Score: 0.74 · PARP1
    RNA Granule Nucleation Site Modulation
    Score: 0.66 · G3BP1
    Arginine Methylation Enhancement Therapy
    Score: 0.65 · PRMT1
    Glycine-Rich Domain Competitive Inhibition
    Score: 0.64 · TARDBP
    Serine/Arginine-Rich Protein Kinase Modulation
    Score: 0.62 · SRPK1
    → View all analysis hypotheses
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