Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT06373887 |
Other study ID # |
2023-09-005A |
Secondary ID |
|
Status |
Recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
April 10, 2024 |
Est. completion date |
December 31, 2024 |
Study information
Verified date |
April 2024 |
Source |
Taipei Veterans General Hospital, Taiwan |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
In recent years, the technology to detect the gut microbiome's function has become
increasingly developed. GMMs are tools (GitHub - raeslab/GMMs: A manually curated database of
human gut metabolic modules.) for describing metabolic pathways for linking microbial
metabolic function to species associated with a single metabolite, helping to analyze the
transcriptional characteristics and metabolic functions of each bacterium, and studying their
role of the food chain in the ecosystem. According to our previous research, the group with
good weight loss response (more than 10% body weight loss in 8 weeks) after low-carb diet
intervention has higher Shannon's diversity and carbohydrate degradation activity test by
GMMs, implying the deficiency of availability of energy sources may cause more weight
changes.
Based on the above research, we designed a low-carb diet (rich in monounsaturated fatty
acids) and a low-fat diet (whole grains) with the same calories as a means of weight loss.
The primary purpose of this study is to evaluate the pre-GMM test for determines the weight
loss benefit of the intervention diet. Furthermore, we try to found the possible mechanism of
whether metabolites of microbiota (e.g. SCFA) could affect the immune cell change which
modulates adipose tissue .
Description:
Many studies have shown that dysbiosis of gut microbiota is related to obesity and metabolic
diseases4. Since there are many clinical guidelines for weight loss dietary recommendations
that have been developed, successful long-term weight loss was still a challenge due to the
personal variation of multi-omics markers at baseline and distinct diet-host-microbiome
interaction1,2. A recent study2 related to successful long-term weight loss has found that
the baseline microbiota composition and energy utilized patterns are related to the efficacy
of long-term weight loss; The population with higher respiratory quotient (RQ) at baseline
had significantly more weight loss when participating in a low-carb weight loss diet,
suggesting that individuals with carbs as their main energy source had greater weight loss
benefits when reducing carb sources. In our previous study, we also found that after the
intervention of a low-carb diet (LCD), the groups with better weight loss results had higher
diversity at the baseline, and the groups with better weight loss showed more active
carbohydrate degradation using gut metabolic modules (GMMs) analysis. In contrast, one study5
showed an increased abundance of the genus (Dialister) encoding carbohydrate-active enzymes
gene was associated with unsuccessful body weight loss when intervening with a weight-loss
diet enriched with carbohydrates (Volumetric Diet). According to a recent study2 comparing a
low-carb diet (LCD) and low-fat diet (LFD) for long-term weight loss, the LCD with a higher
ratio of monounsaturated fatty acid (MUFA): saturated fatty acid (SFA) showed a better
weight-loss response, while LFD with whole grain carbohydrate had better weight-loss response
than refined grain carbohydrate. However, the weight loss efficacy between two diet arm
within people with different carb degradation activities at the baseline was still unclear.
So far, there are no studies that use microbiota GMMs analysis before deciding which diet to
intervene. Therefore, our study aims to investigate whether pre-examination and then
intervention can bring benefits to weight loss efficacy.
Before the two dietary interventions, fecal microbiota analysis will be conducted to
understand the metabolic activity of carbohydrates and then determine whether to enter the
low-carbohydrate group or the low-fat group. The participants in this study will be divided
into two groups: one group will have their gut microbiota measured before receiving dietary
treatment, while the other group will be randomly assigned to one of the two dietary groups.
Finally, the weight loss benefits and changes in gut microbiota and related biochemical data
between the two groups will be compared.