Evidence map›Paper›PMID 42027669›Full record

ArticleJournal of pharmaceutical analysis2026

Metabolic difference of potentially toxic components from Psoraleae Fructus and Euodiae Fructus in Sishen formula by different compatibilities and physiologies.

Lili Hong, Yijin Yang, Lianxing Wang, Yiqing Yao, Yadan Zou, Hongda Wang, Xue Li, Yuan Li, Lingli Ma, Xiaoying Wang and 2 more

Abstract read
In one paragraph

Article in Journal of pharmaceutical analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Lili HongState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Yijin YangState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Lianxing WangState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Yiqing YaoState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Yadan ZouState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Hongda WangState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Xue LiState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Yuan LiState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Lingli MaState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Xiaoying WangState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Xiumei GaoState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Wenzhi YangState Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compatibility attenuation is an effective strategy to ensure the safety of traditional Chinese medicine (TCM). Mechanistic elucidation is essential, however, no consensus reaches on the scientific connotation of compatibility attenuation in Sishen formula (SSF). Given TCM metabolism is closely associated with its toxicological consequences, this study was designed to systematically decipher and compare the holistic metabolic differences of potential toxicants derived from Psoraleae Fructus (PF) and Euodiae Fructus (EF) within SSF. In total, 23 potential toxicants from PF and EF were identified through a comprehensive literature review. Using ultra-high performance liquid chromatography/ion-mobility quadrupole time-of-flight mass spectrometry and ultra-high performance liquid chromatography/triple quadrupole-linear ion trap mass spectrometry, the metabolic difference of target components among differentiated compatibility and physiological state was elucidated by integrating serum metabolomics and poly-pharmacokinetics analyses. Holistically, the compatibility could suppress the transformation of potential toxicants, whereas irritable bowel syndrome (IBS) state exhibited a promoting effect. Myristicae Semen (MyS) or Schisandrae Chinensis Fructus (SCF) increased the exposure of toxicants from PF, while EF demonstrated an opposing effect. SCF promoted the exposure of toxicants from EF, which could be mitigated by Ershen formula. The IBS mice exhibited greater exposure to potential toxicants and their metabolites from PF (compared to the sham operation group), yet SSF alleviated this effect. Furthermore, potential toxicants in the SSF group tended to exhibit reduced metabolic transformation, decreased exposure, enhanced tissue distribution, and facilitated excretion. Collectively, these findings provide novel insights into the metabolic mechanisms underlying SSF detoxification and offer valuable safety recommendation in clinical use.

Indexed as

Irritable bowel syndromeMetabolismTraditional Chinese medicine compatibilityUltra-high performance liquid chromatography/ion-mobility quadrupole time-of-flight mass spectrometryUltra-high performance liquid chromatography/triple quadrupole-linear ion trap mass spectrometry

Identifiers

PMID42027669
PMCPMC13100281

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Registered trials

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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.