Evidence map›Paper›PMID 42420720›Full record

ReviewAdvances in experimental medicine and biology2026

The Convergence of Ancient Medical Wisdom and Modern Physiology: Sodium Ion Wave Propagation in Endothelial Cells, IL-1 Vascular Pathways, and the Six-Day Progression Pattern of Clinical Symptoms.

Yang Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Yang LiuThe Hong Kong Polytechnic University (Retired), Hung Hom, Kowloon, Hong Kong. yang.liu@connect.polyu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Yellow Emperor's Inner Canon (YEIC) stands as China's most significant ancient medical text, categorizing the human vascular system as a meridian network divided into six major functional categories. The discovery of mapping between Traditional Chinese Medicine (TCM) and signaling molecules enables us to explore the physiological and pathological processes revealed by this ancient medical classic using modern medical terminology-many of which remain incompletely understood by contemporary medicine. This chapter's analysis demonstrates that meridians should be understood not as singular anatomical structures but as functional networks of blood vessels sharing identical physiological properties. The traditional Chinese concept of "Qi flow" can be interpreted from a modern physiological perspective as the wave-like propagation of sodium ion concentration changes within vascular endothelial cells. This "Qi flow" model effectively explains pathological disruptions: when sodium ion concentrations in specific vascular segments become abnormally elevated or depleted, they create blockades in normal wave propagation, corresponding to pathological states described in TCM theory-abnormally elevated sodium concentrations correlate with "Upward Opposed Qi Flow" (), while abnormally decreased concentrations correspond to "Opposed Qi Flow" (), both representing interruptions in the normal directional flow of ionic waves. This model also perfectly elucidates the molecular mechanism of ginseng as the most renowned Qi-replenishing herb: its therapeutic mechanism involves inhibiting Na

Indexed as

Endothelial CellsInterleukin-1Medicine, Chinese TraditionalSodiumAnimalsHumansMeridiansSignal TransductionInterleukin-1SodiumEssential tremorIL-1MeridianQi flowSodiumSodium channelTraditional Chinese Medicine (TCM)Yellow Emperor’s Inner Canon (YEIC)

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.