Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Gut microbial abundant change | Gut microbial communities and their abundant features will be analysed based on shotgun metagenomic sequencing. | 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. | Day 1, day 10, day 16, day 23, day 28 |
| Measure | Description | Time Frame |
|---|---|---|
| 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. |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Individuals who will sail by Shenkuo, a scientific research ship, December 2020.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Ju-Sheng Zheng | Westlake University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Westlake University | Hangzhou | Zhejiang | 310024 | China |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
serum, plasma, white cells, urine, faeces, tongue coating, skin microbiome
| 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. | 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. | 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). | Day 1, day 10, day 16, day 23, day 28 |
| Weight change | Weight will be described by kilogram. | 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. | 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. | 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. | Day 1, day 10, day 16, day 23, day 28 |