Environment, Glucose Metabolism, Microbiome, Mood
Conditions
Brief summary
Little is known about the dynamic change of human microbiome in different body sites including skin, mouth and gut during sailing. The present study aims to reveal the change of human microbiome in response to the sailing environment in a 1-month period, and its implication for human health.
Detailed description
This study will recruit a number of participants who are going to sail for mariana trench from Shenzhen, China. Characteristics of the participants will be described by a series of index of stool, urine, skin microbiota and tongue coating. All the biospecimen will be collected before and during the voyage. Stool at the 2nd, the 4th and the 12th week after the voyage and blood sample at the baseline will also be collected. Participants' mood states, health-related quality of life, fatigue score and sleep quality will be investigated with questionnaires throughout the 1-month period. Participants are asked to record diseases and symptoms, if any, when sailing. All the data will be used to analyse how microbiota change and be involved in human health during a voyage.
Interventions
None listed
Sponsors
Westlake University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
* Willingness and capability to complete the study protocol
Exclusion criteria
* Inability or unwillingness to approved to provide informed consent. * Women who are pregnant or lactating.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Gut microbial abundant change | Day 1, day 10, day 16, day 23, day 28 | Gut microbial communities and their abundant features will be analysed based on shotgun metagenomic sequencing. |
| Tongue coating microbial abundant change | Day 1, day 10, day 16, day 23, day 28 | Tongue coating microbial communities and their abundant features will be analysed based on shotgun metagenomic sequencing. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Sleep quality change over the one-month sailing | Day 1, day 30 | The Pittsburgh Sleep Quality Index （PSQI）will be used to assess sleep quality. It comprises 19 items for self-reported sleep quality in the last month and five additional questions to be answered by roommates, if applicable. The 19 items are grouped into seven component scores: sleep quality, sleep latency, sleep duration, efficiency of habitual sleep, sleep disturbance, use of sleep medication, and diurnal dysfunction. These are then added to a global PSQI score. The PSQI score ranges from 0 to 21, with a higher score indicative of poorer sleep quality. |
| Short-chain fatty acids change | Day 1, day 10, day 16, day 23, day 28 | Short-chain fatty acids will be analysed by performing liquid chromatography/quadrupole time-of-flight mass spectrometry (LC/Q-TOF/MS). |
| Weight change | Day 1, day 10, day 16, day 23, day 28 | Weight will be described by kilogram. |
| Mood states change over 4 weeks | Day 1, day 10, day 16, day 23, day 30 | Transient, fluctuating feelings, and enduring affect states will be assessed by the Profile of Mood States-Short Form (POMS-SF) . POMS-SF contains 30 questions that assess the following seven different moods: anger-hostility (AH), confusion-bewilderment (CB), depression-dejection (DD), fatigue-inertia (FI), tension-anxiety (TA), vigoractivity (VA), and friendliness (F). Total mood disturbance (TMD) scores were calculated based on the previous seven factors. High scores for VA and F indicate a positive mood state, while high scores for AH, CB, DD, FI, TA, and TMD indicate a negative mood state. |
| Fatigue score change | Day 1, day 10, day 16, day 23, day 30 | The Multi-dimensional Fatigue Inventory (MFI-20) will be used to measure aspects of fatigue experienced during the previous days. It consists of five subscales of fatigue: general fatigue (GF), physical fatigue (PF), re-duced motivation (RM), reduced activity (RA), and mental fatigue (MF). The score ranges from 20 to 100. Higher scores indicate a higher degree of fatigue. |
| Skin microbial abundant change | Day 1, day 10, day 16, day 23, day 28 | Skin microbial communities and their abundant features will be analysed based on shotgun metagenomic sequencing. |
| Blood pressure change | Day 1, day 10, day 16, day 23, day 28 | Systolic pressure and diastolic pressure will be measured and described by mmHg. |
| Health-related quality of life change over the one-month sailing | Day 1, day 30 | Health-related quality of life will be assessed by the Short-Form 36 Health Status Questionnaire（SF-36). It contains eight subscales scoring from 0 to 100 points for each, with higher scores indicating better quality of life. |
Countries
China
Outcome results
None listed