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.
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.
Study Type
OBSERVATIONAL
Enrollment
17
Westlake University
Hangzhou, Zhejiang, China
Gut microbial abundant change
Gut microbial communities and their abundant features will be analysed based on shotgun metagenomic sequencing.
Time frame: Day 1, day 10, day 16, day 23, day 28
Tongue coating microbial abundant change
Tongue coating microbial communities and their abundant features will be analysed based on shotgun metagenomic sequencing.
Time frame: Day 1, day 10, day 16, day 23, day 28
Mood states change over 4 weeks
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.
Time frame: Day 1, day 10, day 16, day 23, day 30
Health-related quality of life change over the one-month sailing
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.
Time frame: Day 1, day 30
Sleep quality change over the one-month sailing
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.
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Time frame: Day 1, day 30
Short-chain fatty acids change
Short-chain fatty acids will be analysed by performing liquid chromatography/quadrupole time-of-flight mass spectrometry (LC/Q-TOF/MS).
Time frame: Day 1, day 10, day 16, day 23, day 28
Weight change
Weight will be described by kilogram.
Time frame: Day 1, day 10, day 16, day 23, day 28
Blood pressure change
Systolic pressure and diastolic pressure will be measured and described by mmHg.
Time frame: Day 1, day 10, day 16, day 23, day 28
Fatigue score change
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.
Time frame: Day 1, day 10, day 16, day 23, day 30
Skin microbial abundant change
Skin microbial communities and their abundant features will be analysed based on shotgun metagenomic sequencing.
Time frame: Day 1, day 10, day 16, day 23, day 28