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Record W2989690424 · doi:10.1186/s13036-019-0221-0

Real-time analysis of ATP concentration in acupoints during acupuncture: a new technique combining microdialysis with patch clamp

2019· article· en· W2989690424 on OpenAlexfundno aff
Yong Wu, Meng Huang, Ying Xia, Guanghong Ding

Bibliographic record

VenueJournal of Biological Engineering · 2019
Typearticle
Languageen
FieldNeuroscience
TopicVagus Nerve Stimulation Research
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaRWTH Aachen UniversityShanghai University of Traditional Chinese MedicineUniversité de MontréalFudan UniversityNational Natural Science Foundation of China
KeywordsMicrodialysisZusanliClampAcupunctureAdenosine triphosphatePatch clampBiomedical engineeringAnesthesiaPharmacologyChemistryMedicineReceptorComputer scienceExtracellularPathologyBiochemistryElectroacupuncture

Abstract

fetched live from OpenAlex

This paper introduces a new technique combining microdialysis with patch clamp to detect the changes in ATP (adenosine triphosphate) concentration in acupoints during acupuncture. The microdialysis probe was implanted into the Zusanli acupoint (ST 36) of adult SD (Sprague Dawley) rats to sample acupoint fluid containing ATP released during acupuncture. Then, the fluid with ATP was delivered in real time to 293 T cells overexpressing P2X3 receptors, with which we could carry out patch clamp experiments. The results showed that changes in membrane currents could reflect changes in the concentration of ATP. Thus, we can successfully detect ATP released in acupoints during acupuncture in real time. This technique provides us with a new way to study the mechanism of acupuncture signal initiation.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.267
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations8
Published2019
Admission routes1
Has abstractyes

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