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Record W4409059619 · doi:10.1021/acschemneuro.4c00560

Biophysical Characterization and Preformulation Studies of Human Mesencephalic Astrocyte-Derived Neurotropic Factor

2025· article· en· W4409059619 on OpenAlexaff
R. W. Payne, Tiansheng Li, Albert M. Li, Cynthia Li, Ryan R. Manning, G. Glenn Wilson, Charles S. Henry, Mark C. Manning

Bibliographic record

VenueACS Chemical Neuroscience · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsEmergent BioSolutions (Canada)
Fundersnot available
KeywordsNeuroscienceAstrocyteChemistryBiologyCentral nervous system

Abstract

fetched live from OpenAlex

A novel neurotrophic factor, human mesencephalic astrocyte-derived neurotrophic factor (hMANF), is being considered a therapeutic agent for a variety of diseases. However, little, if anything, has been reported about its stability. A preformulation study was conducted to assess the stability of hMANF as a function of pH and temperature. In addition, the effects of buffers and other excipients were evaluated as well. While the chemical and physical stability of hMANF decreases near pH 4, overall, the protein appears to be quite stable, especially near pH 6. Both histidine and phosphate appear to be suitable buffers in this pH range. Some loss of stability was noted above pH 6.5 as well. The stability profile of hMANF was comparable at 1 and 10 mg/mL. The decreased stability at acidic pH is correlated with the loss of the native α-helical conformation, as shown by FTIR spectroscopy. These studies indicate that hMANF is quite stable near pH 6, and formulations capable of exhibiting adequate long-term stability in aqueous solutions should be possible.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.081
GPT teacher head0.384
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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