| Unique ID issued by UMIN | UMIN000056612 |
|---|---|
| Receipt number | R000063857 |
| Scientific Title | The effect of gut microbiota on malnutrition and sarcopenia in early stroke patients |
| Date of disclosure of the study information | 2026/04/01 |
| Last modified on | 2025/01/02 01:09:23 |
The effect of gut microbiota on malnutrition and sarcopenia in early stroke patients
The effect of gut microbiota on malnutrition and sarcopenia in early stroke patients
The effect of gut microbiota on malnutrition and sarcopenia in early stroke patients
The effect of gut microbiota on malnutrition and sarcopenia in early stroke patients
| Japan |
Stroke
| Rehabilitation medicine |
Others
NO
This study focuses on abnormalities in the gut microbiota (intestinal flora) as a visible indicator of changes in intestinal function associated with systemic inflammation. We hypothesized that intestinal dysfunction caused by systemic inflammation following stroke promotes abnormalities in the gut microbiota, leading to the development of malnutrition and, subsequently, sarcopenia. By verifying this hypothesis and elucidating the impact of temporal changes in the gut microbiota on malnutrition and sarcopenia, we aim to develop treatment strategies to prevent the complication of sarcopenia following stroke. This forms the basis of our research plan.
Others
In previous studies, we identified malnutrition as the most influential risk factor for sarcopenia during the early stages of stroke onset. This is attributed to several factors: stroke-induced brain cell death often triggers systemic inflammation; in cases where patients experience consciousness disorders or dysphagia secondary to stroke, fasting periods immediately after onset may lead to apoptosis in the intestinal mucosa, resulting in mucosal atrophy; and the predominance of sympathetic nervous system activity suppresses intestinal motility, making digestive and absorption disorders such as diarrhea and constipation more likely. These factors collectively predispose patients to malnutrition.
Metagenomic analysis information of gut microbiota
Body composition (body mass index, skeletal muscle mass, skeletal muscle index, muscle quality, body fat mass, etc.), grip strength on the non-paralyzed side, severity of dysphagia (Food Intake LEVEL Scale), Functional Independence Measure (FIM), dietary texture, dietary intake, nutritional risk indicators, and diagnostic results for malnutrition and sarcopenia (or obesity)
Observational
| 18 | years-old | <= |
| 90 | years-old | >= |
Male and Female
Patients who can provide written consent for research participation based on their free will.
Female patients who are pregnant or may be pregnant, patients with a cardiac pacemaker, patients with severe dementia, patients with foreign nationalities other than Japanese, and cases deemed inappropriate by the attending physician.
120
| 1st name | MOMOKO |
| Middle name | |
| Last name | SAKURAI |
Graduate School of Medical Science, Kyoto Prefectural University of Medicine
Department of Rehabilitation Medicine
602-8566
465 Kajii-cho, Kawaramachi-dori, Hirokoji-agaru, Kamigyo-ku, Kyoto-shi, Kyoto, Japan.
09070922198
momoima@koto.kpu-m.ac.jp
| 1st name | MOMOKO |
| Middle name | |
| Last name | SAKURAI |
Graduate School of Medical Science, Kyoto Prefectural University of Medicine
Department of Rehabilitation Medicine
602-8566
465 Kajii-cho, Kawaramachi-dori, Hirokoji-agaru, Kamigyo-ku, Kyoto-shi, Kyoto, Japan.
09070922198
momoima@koto.kpu-m.ac.jp
Graduate School of Medical Science, Kyoto Prefectural University of Medicine
SAKURAI MOMOKO
Graduate School of Medical Science, Kyoto Prefectural University of Medicine
Local Government
Graduate School of Medical Science, Kyoto Prefectural University of Medicine
465 Kajii-cho, Kawaramachi-dori, Hirokoji-agaru, Kamigyo-ku, Kyoto-shi, Kyoto, Japan.
09070922198
momoima@koto.kpu-m.ac.jp
NO
| 2026 | Year | 04 | Month | 01 | Day |
Unpublished
Preinitiation
| 2026 | Year | 04 | Month | 01 | Day |
| 2026 | Year | 04 | Month | 01 | Day |
| 2028 | Year | 03 | Month | 31 | Day |
Basic Patient Information: Age, gender, height, weight, diagnosis, affected side, date of onset, date of admission, date of discharge, medical history.
Primary Evaluation Item: Fecal samples will be collected at the time of admission and discharge from acute care hospitals and rehabilitation hospitals for evaluation.
Secondary Evaluation Item: Medical records will be extracted at the time of admission and discharge from acute care hospitals and rehabilitation hospitals.
| 2025 | Year | 01 | Month | 02 | Day |
| 2025 | Year | 01 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000063857