MétaCan
Menu
Back to cohort
Record W4412506872 · doi:10.3389/fpls.2025.1631697

Transient expression of full-length and mature nattokinase in Nicotiana benthamiana reveals early necrosis from full-length form and functional activity of the mature enzyme

2025· article· en· W4412506872 on OpenAlexaff
Kevin Wang, Hugh S. Mason, Ethan Slone, Kylie Tackett, Nan Wang

Bibliographic record

VenueFrontiers in Plant Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsBiotechnology Research Institute
FundersNational Key Research and Development Program of ChinaNational Institutes of HealthNational Institute of General Medical SciencesKentucky IDeA Networks of Biomedical Research Excellence
KeywordsNicotiana benthamianaBiologyNattokinaseCell biologyGeneticsBiochemistryGene

Abstract

fetched live from OpenAlex

Nattokinase is a potent fibrinolytic enzyme widely used in the treatment of cardiovascular diseases for its ability to directly degrade fibrin and plasmin substrates, effectively dissolving blood clots. In this study, both full-length and mature forms of the nattokinase coding sequence were transiently expressed in Nicotiana benthamiana using a modified Bean Yellow Dwarf Virus (BeYDV) replicon system. Overexpression of the full-length (pre-pro) construct resulted in severe leaf necrosis within 2.5 days post-infiltration (dpi), with electrolyte leakage analysis indicating an 83.5% loss of membrane integrity by 3 dpi. In contrast, the mature form of nattokinase was successfully expressed without early cytotoxicity and exhibited strong caseinolytic and fibrinolytic activity, reaching 22,500 FU/g—comparable to commercial standards. These findings demonstrate the feasibility of producing biologically active nattokinase in plants and highlight the potential of plant-based expression systems as scalable, cost-effective platforms for therapeutic enzyme production.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.209
Teacher spread0.204 · 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

Explore more

Same venueFrontiers in Plant ScienceSame topicTransgenic Plants and ApplicationsFrench-language works237,207