Evidence map›Paper›PMID 40606611›Full record

ArticleFrontiers in pharmacology2025

Modified Zexie decoction improves phlegm-dampness type stage I hypertension by regulating the gut-immune-kidney axis.

Zeqi Hu, Jiujie Jia, Yiyan Su, Yihao Gu, Bingbing Cheng, Ninghua Jiang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Zeqi HuCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, China.
Jiujie JiaCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, China.
Yiyan SuCollege of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yihao GuCollege of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Bingbing ChengCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, China.
Ninghua JiangDepartment of Pharmacy, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indroduction: Hypertension pathogenesis increasingly implicates gut microbiota-host crosstalk, where immune regulation bridges gut dysbiosis and renal dysfunction. Phlegm-dampness hypertension-a prevalent Traditional Chinese Medicine (TCM) syndrome typified by metabolic, immune, and renal anomalies-demands novel interventions. Modified Zexie Decoction (MZXD), a TCM formula with documented antihypertensive and anti-inflammatory properties, may target the gut-immune-kidney axis. This study investigated MZXD's efficacy in Stage I phlegm-dampness hypertension via this axis. Methods: Thirty Stage I phlegm-dampness hypertension patients received MZXD for 42 days. Pre- and post-treatment measurements included blood pressure, serum immune markers, renal function parameters, gut microbiota, and short-chain fatty acids (SCFAs). Results: MZXD significantly reduced systolic/diastolic blood pressure (P < 0.05). Gut microbiota diversity increased, shifting toward healthy profiles. SCFA levels rose markedly (P < 0.01). Immune markers (P < 0.05) and renal function improved (P < 0.05). Discussion: MZXD alleviates phlegm-dampness hypertension by modulating the gut-immune-kidney axis: enhancing microbial diversity, boosting SCFAs, attenuating inflammation, and improving renal function. This first systematic validation positions MZXD as a promising multi-target therapy. Future studies should explore clinical scalability and mechanistic depth.

Indexed as

gut-immune-kidney axisgut microbiotaimmuneMZXDphlegm-dampness type stage I hypertensionrenal function

Identifiers

PMID40606611
PMCPMC12215698

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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.