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Record W4401558986 · doi:10.1016/j.heliyon.2024.e36104

Study on the mechanisms and Pharmacodynamic substances of Lian-Gui-Ning-Xin-Tang on Arrhythmia Therapy based on Pharmacodynamic–Pharmacokinetic associations

2024· article· en· W4401558986 on OpenAlexaff
Liang Jiayu, Xiaofeng Li, Deng Fangjun, Fan Boya, Cong Zidong, Rui Tao, Lu Yu, Qian Shule, Wuxun Du

Bibliographic record

VenueHeliyon · 2024
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutions123 Certification (Canada)
FundersNational Natural Science Foundation of China
KeywordsPharmacodynamicsTraditional medicinePharmacokineticsPharmacologyMedicineTraditional Chinese medicineAlternative medicine

Abstract

fetched live from OpenAlex

Background The Chinese herbal compound Lian-Gui-Ning-Xin-Tang (LGNXT), composed of 9 herbs, has a significant antiarrhythmic effect. Previous studies have confirmed that preventing intracellular Ca 2+ overload and maintaining intracellular Ca 2+ homeostasis may be the important antiarrhythmic mechanisms of LGNXT. Recent studies are focused on elucidating the mechanisms and pharmacodynamic substances of LGNXT. Purpose 1) To investigate the antiarrhythmic mechanisms of LGNXT; 2) to explore the association of pharmacodynamics (PD) and pharmacokinetics (PK) of the potential pharmacodynamic substances in LGNXT to further verify the mechanisms of action. Methods First, pharmacodynamic studies were conducted to determine the effect of LGNXT in arrhythmia at the electrophysiological, molecular, and tissue levels, and the "effect–time" relationship of LGNXT was further proposed. Next, an HPLC-MS/MS method was established to identify the "dose–time" relationship of the 9 potential compounds. Combining the "effect–time" and "dose–time" curves, the active ingredients closely related to the inhibition of inflammation, oxidative stress, and energy metabolism were identified to further verify the mechanisms and pharmacodynamic substances of LGNXT. Results Pretreatment with LGNXT could delay the occurrence of arrhythmias and reduce their duration and severity. LGNXT exerted antiarrhythmic effects by inhibiting MDA, LPO, IL-6, and cAMP; restoring Cx43 coupling function; and upregulating SOD, Ca 2+ -ATPase, and Na + -K + -ATPase levels. PK-PD association showed that nobiletin, methylophiopogonanone A, trigonelline, cinnamic acid, liquiritin, dehydropolisic acid, berberine, and puerarin were the main pharmacodynamic substances responsible for inhibiting the inflammatory response in arrhythmia. Methylophiopogonanone A, dehydropalingic acid, nobiletin, trigonelline, berberine, and puerarin in LGNXT exerted antiarrhythmic effects by inhibiting oxidative stress. Dehydropalingic acid, berberine, cinnamic acid, liquiritin, puerarin, trigonelline, methylophiopogonanone A, nobiletin, and tetrahydropalmatine exerted antiarrhythmic effects by inhibiting the energy-metabolism process. Conclusions LGNXT had a positive intervention effect on arrhythmias, especially ventricular tachyarrhythmias, which could inhibit inflammation, oxidative stress, and energy metabolism; positively stabilize the structure, and remodify the function of myocardial cell membranes. Additionally, the PD–PK association study revealed that methylophiopogonanone A, berberine, trigonelline, liquiritin, puerarin, tetrahydropalmatine, nobiletin, dehydropachymic acid, and cinnamic acid directly targeted inflammation, oxidative stress, and energy metabolism, which could be considered the pharmacodynamic substances of LGNXT. Thus, the antiarrhythmic mechanisms of LGNXT were further elucidated.

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)0.001
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 score0.637
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.334
Teacher spread0.299 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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