Evidence map›Paper›PMID 39319128›Full record

ArticleHeliyon2024

Mechanism of Mongolian mind-body interactive therapy in regulating essential hypertension through HTR2B: A metabolome- and transcriptome-based study.

Jun Fang, Wenfeng Bao, Haorile Chagan-Yasutan, Sarnai Arlud, Si Qin, Rihan Wu, Nagongbilige He

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

7 authors.

Jun FangInner Mongolia Traditional Chinese & Mongolian Medical Research Institute, Hohhot, 010010, China.
Wenfeng BaoInner Mongolia Traditional Chinese & Mongolian Medical Research Institute, Hohhot, 010010, China.
Haorile Chagan-YasutanMongolian Psychosomatic Medicine Department, Inner Mongolia International Mongolian Medicine Hospital, Hohhot, 010065, China.
Sarnai ArludMongolian Psychosomatic Medicine Department, Inner Mongolia International Mongolian Medicine Hospital, Hohhot, 010065, China.
Si QinMongolian Psychosomatic Medicine Department, Inner Mongolia International Mongolian Medicine Hospital, Hohhot, 010065, China.
Rihan WuOrdos Mongolia Medicine Hospital, Ordos, 017065, China.
Nagongbilige HeInner Mongolia Traditional Chinese & Mongolian Medical Research Institute, Hohhot, 010010, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Essential hypertension is a psychosomatic disease associated with emotions and behaviors. Although Mongolian mind-body interactive therapy can help patients with essential hypertension reduce their systolic blood pressure (SBP), the mechanism is unclear. We assigned patients who underwent Mongolian mind-body interactive therapy to groups that were treated with (DT) or without (NDT) antihypertensive drugs (Clinical registration no: ChiCTR2000034918). We screened differentially expressed genes (DEGs) using targeted metabolic and transcriptomic analyses of blood samples before and after intervention. Sequenced data were analyzed using quantitative polymerase chain reaction (qPCR) and validated using enzyme-linked immunosorbent assays (ELISAs). Small interfering (Si)-RNA interference on key DEGs in human umbilical vein endothelial cells (HUVECs) was experimentally verified. Omics analysis identified 187 DEGS, including human 5-hydroxytryptamine (5-HT) receptor 2B (5-

Indexed as

5-Hydroxytryptamine5-Hydroxytryptamine receptor 2BEssential hypertensionMongolian mind–body interactive therapyN-acetylserotonin

Identifiers

PMID39319128
PMCPMC11419866

What OpenQuestion holds

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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.