Sun Zhihong et al.: "Ocean Syndrome" is related to intestinal flora

① Seventy-seven Chinese male crew members were included, and the intestinal flora, physiological and psychological changes before and after 135 days of voyage were evaluated through questionnaires and sequencing; ② 55 crew members developed "sea-going syndrome" (SS) during the period, and the core symptoms were abnormal defecation frequency, Insomnia, poor sleep, nausea, and overeating; ③The gut microbiota was significantly associated with SS (rather than a single symptom), and SS crew members had different microbiome dynamics and characteristics from healthy crew members (19 species of bacteria and 26 gene families were different) ); ④The occurrence of SS was predicted with 84. 4% accuracy using a random forest model based on 28 markers from pre-voyage samples, and was validated in another sailing cohort with 83. 3% accuracy . Editor-in-chief's recommendation mildbreeze chronic disease is an important health problem today, and its association with intestinal flora imbalance has been widely reported and studied, but the relationship between sub-health status and intestinal flora remains to be elucidated . Microbiology spectrum recently published a study by Sun Zhihong and his team from Inner Mongolia Agricultural University, evaluating the health status of crew members on long-term ocean voyages, indicating that ocean voyages may cause different symptoms in different crew groups, but there is a group of high-incidence core symptoms. The state of health is named "Ocean Syndrome" . The study further sheds light on the relationship between pelagic syndrome and gut microbiota and identifies microbiota markers that predict its occurrence . This study provides a potential strategy for health management in extreme environments, and has reference value for predicting dysbiosis-related diseases . Microbiology spectrum [IF:7. 171] Interactions between Human Gut Microbiome Dynamics and Sub-Optimal Health Symptoms during Seafaring Expeditions 10. 1128 /spectrum. 00925-21 01-12, Article Abstract: During long ocean voyages, crew members are subject to complex pressures from their living and working environment, which lead to chronic diseases-like sub-optimal health status. Although the association between dysbiotic gut microbiome and chronic diseases has been broadly reported, the correlation between the sub-optimal health status and gut microbiome remains elusive. Here, the health status of 77 crew members (20-35 years old Chinese, male) during a 135-day sea expedition was evaluated using the shotgun metagenomics of stool samples and health questionnaires taken before and after the voyage. We found five core symptoms (eg, abnormal defecation frequency, insomnia, poor sleep quality, nausea, and overeating) in 55 out of 77 crew members suffering from sub-optimal health status, and this was termed " seafaring syndrome"(SS) in this study. Significant correlation was found between the gut microbiome and SS rather than any single symptom. For example, SS was proven to be associated with individual perturbation in the gut microbiome, and the microbial dynamics between SS and non-SS samples were different during the voyage. Moreover, the microbial signature for SS was identified using the variation of 19 bacterial species and 26 gene families. Furthermore, using a Random Forest model, SS was predicted with high accuracy (84. 4%, area under the concentration -time curve = 0. 91) based on 28 biomarkers from pre-voyage samples, and the prediction model was further validated by another 30-day voyage cohort (accuracy = 83. 3%). The findings in this study provide insights to help us discover potential predictors or even therapeutic targets for dysbiosis-related diseases. Systemic and chronic diseases are important health problems today and have been proven to be strongly associated with dysbiotic gut microbiome. Studying the association between the gut microbiome and sub-optimal health status of humans in extreme environments (such as ocean voyages) will give us a better understanding of the interactions between observable health signs and a stable versus dysbiotic gut microbiome states. In this paper, we illustrated that ocean voyages could trigger different symptoms for different crew member cohorts due to individual differences; however, the co-occurrence of high prevalence Symptoms indicated widespread perturbation of the gut microbiome. By investigating the microbial signature and gut microbiome dynamics, we demonstrated that such sub-optimal health status can be predicted even before the voyage. We termed this phenomenon as "seafaring syndrome. " This study not only provides the potential strategy for health management in extreme environments but also can assist the prediction of other dysbiosis-related diseases. First Authors: Zheng Sun,Meng Zhang,Min Li Correspondence Authors: Zhihong Sun All Authors: Zheng Sun,Meng Zhang,Min Li,Yogendra Bhaskar,Jinshan Zhao,Youran Ji,Hongbing Cui,Heping Zhang,Zhihong Sun   Disclaimer: This article only represents the author's personal opinion and has nothing to do with China Probiotics Network . Its originality and the text and content stated in the text have not been verified by this site, and this site does not make any guarantee or commitment to the authenticity, completeness and timeliness of this text and all or part of its content and text. Readers are only for reference and please Verify the relevant content yourself .   Copyright Notice 1. 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① Seventy-seven Chinese male crew members were included, and the intestinal flora, physiological and psychological changes before and after 135 days of voyage were evaluated through questionnaires and sequencing;

　　② 55 crew members developed "sea-going syndrome" (SS) during the period, and the core symptoms were abnormal defecation frequency, Insomnia, poor sleep, nausea, and overeating;

　　③The gut microbiota was significantly associated with SS (rather than a single symptom), and SS crew members had different microbiome dynamics and characteristics from healthy crew members (19 species of bacteria and 26 gene families were different) );

　　④The occurrence of SS was predicted with 84.
4% accuracy using a random forest model based on 28 markers from pre-voyage samples, and was validated in another sailing cohort with 83.
3% accuracy
.


Editor-in-chief's recommendation

　　mildbreeze

　　chronic disease is an important health problem today, and its association with intestinal flora imbalance has been widely reported and studied, but the relationship between sub-health status and intestinal flora remains to be elucidated
.
Microbiology spectrum recently published a study by Sun Zhihong and his team from Inner Mongolia Agricultural University, evaluating the health status of crew members on long-term ocean voyages, indicating that ocean voyages may cause different symptoms in different crew groups, but there is a group of high-incidence core symptoms.
The state of health is named "Ocean Syndrome"
.
The study further sheds light on the relationship between pelagic syndrome and gut microbiota and identifies microbiota markers that predict its occurrence
.
This study provides a potential strategy for health management in extreme environments, and has reference value for predicting dysbiosis-related diseases
.


Microbiology spectrumInteractions between Human Gut Microbiome Dynamics and Sub-Optimal Health Symptoms during Seafaring Expeditions

10.
1128

/spectrum.
00925-21

01-12, Article

Abstract:

During long ocean voyages, crew members are subject to complex pressures from their living and working environment, which lead to chronic diseases-like sub-optimal health status.
Although the association between dysbiotic gut microbiome and chronic diseases has been broadly reported, the correlation between the sub-optimal health status and gut microbiome remains elusive.
Here, the health status of 77 crew members (20-35 years old Chinese, male) during a 135-day sea expedition was evaluated using the shotgun metagenomics of stool samples and health questionnaires taken before and after the voyage.
We found five core symptoms (eg, abnormal defecation frequency, insomnia, poor sleep quality, nausea, and overeating) in 55 out of 77 crew members suffering from sub-optimal health status, and this was termed " seafaring syndrome"(SS) in this study.
Significant correlation was found between the gut microbiome and SS rather than any single symptom.
For example, SS was proven to be associated with individual perturbation in the gut microbiome, and the microbial dynamics between SS and non-SS samples were different during the voyage.
Moreover, the microbial signature for SS was identified using the variation of 19 bacterial species and 26 gene families.
Furthermore, using a Random Forest model, SS was predicted with high accuracy (84.
4%, area under the concentration -time curve = 0.
91) based on 28 biomarkers from pre-voyage samples, and the prediction model was further validated by another 30-day voyage cohort (accuracy = 83.
3%).
The findings in this study provide insights to help us discover potential predictors or even therapeutic targets for dysbiosis-related diseases.
Systemic and chronic diseases are important health problems today and have been proven to be strongly associated with dysbiotic gut microbiome.
Studying the association between the gut microbiome and sub-optimal health status of humans in extreme environments (such as ocean voyages) will give us a better understanding of the interactions between observable health signs and a stable versus dysbiotic gut microbiome states.
In this paper, we illustrated that ocean voyages could trigger different symptoms for different crew member cohorts due to individual differences; however, the co-occurrence of high prevalence Symptoms indicated widespread perturbation of the gut microbiome.
By investigating the microbial signature and gut microbiome dynamics, we demonstrated that such sub-optimal health status can be predicted even before the voyage.
We termed this phenomenon as "seafaring syndrome.
" This study not only provides the potential strategy for health management in extreme environments but also can assist the prediction of other dysbiosis-related diseases.


First Authors:
Zheng Sun,Meng Zhang,Min Li

Correspondence Authors:
Zhihong Sun

All Authors:
Zheng Sun,Meng Zhang,Min Li,Yogendra Bhaskar,Jinshan Zhao,Youran Ji,Hongbing Cui,Heping Zhang,Zhihong Sun

---

① Seventy-seven Chinese male crew members were included, and the intestinal flora, physiological and psychological changes before and after 135 days of voyage were evaluated through questionnaires and sequencing;

　　② 55 crew members developed "sea-going syndrome" (SS) during the period, and the core symptoms were abnormal defecation frequency, Insomnia, poor sleep, nausea, and overeating;

　　③The gut microbiota was significantly associated with SS (rather than a single symptom), and SS crew members had different microbiome dynamics and characteristics from healthy crew members (19 species of bacteria and 26 gene families were different) );

　　④The occurrence of SS was predicted with 84.
4% accuracy using a random forest model based on 28 markers from pre-voyage samples, and was validated in another sailing cohort with 83.
3% accuracy
.


Editor-in-chief's recommendation

　　mildbreeze

　　chronic disease is an important health problem today, and its association with intestinal flora imbalance has been widely reported and studied, but the relationship between sub-health status and intestinal flora remains to be elucidated
.
Microbiology spectrum recently published a study by Sun Zhihong and his team from Inner Mongolia Agricultural University, evaluating the health status of crew members on long-term ocean voyages, indicating that ocean voyages may cause different symptoms in different crew groups, but there is a group of high-incidence core symptoms.
The state of health is named "Ocean Syndrome"
.
The study further sheds light on the relationship between pelagic syndrome and gut microbiota and identifies microbiota markers that predict its occurrence
.
This study provides a potential strategy for health management in extreme environments, and has reference value for predicting dysbiosis-related diseases
.


Microbiology spectrumInteractions between Human Gut Microbiome Dynamics and Sub-Optimal Health Symptoms during Seafaring Expeditions

10.
1128

/spectrum.
00925-21

01-12, Article

Abstract:

During long ocean voyages, crew members are subject to complex pressures from their living and working environment, which lead to chronic diseases-like sub-optimal health status.
Although the association between dysbiotic gut microbiome and chronic diseases has been broadly reported, the correlation between the sub-optimal health status and gut microbiome remains elusive.
Here, the health status of 77 crew members (20-35 years old Chinese, male) during a 135-day sea expedition was evaluated using the shotgun metagenomics of stool samples and health questionnaires taken before and after the voyage.
We found five core symptoms (eg, abnormal defecation frequency, insomnia, poor sleep quality, nausea, and overeating) in 55 out of 77 crew members suffering from sub-optimal health status, and this was termed " seafaring syndrome"(SS) in this study.
Significant correlation was found between the gut microbiome and SS rather than any single symptom.
For example, SS was proven to be associated with individual perturbation in the gut microbiome, and the microbial dynamics between SS and non-SS samples were different during the voyage.
Moreover, the microbial signature for SS was identified using the variation of 19 bacterial species and 26 gene families.
Furthermore, using a Random Forest model, SS was predicted with high accuracy (84.
4%, area under the concentration -time curve = 0.
91) based on 28 biomarkers from pre-voyage samples, and the prediction model was further validated by another 30-day voyage cohort (accuracy = 83.
3%).
The findings in this study provide insights to help us discover potential predictors or even therapeutic targets for dysbiosis-related diseases.
Systemic and chronic diseases are important health problems today and have been proven to be strongly associated with dysbiotic gut microbiome.
Studying the association between the gut microbiome and sub-optimal health status of humans in extreme environments (such as ocean voyages) will give us a better understanding of the interactions between observable health signs and a stable versus dysbiotic gut microbiome states.
In this paper, we illustrated that ocean voyages could trigger different symptoms for different crew member cohorts due to individual differences; however, the co-occurrence of high prevalence Symptoms indicated widespread perturbation of the gut microbiome.
By investigating the microbial signature and gut microbiome dynamics, we demonstrated that such sub-optimal health status can be predicted even before the voyage.
We termed this phenomenon as "seafaring syndrome.
" This study not only provides the potential strategy for health management in extreme environments but also can assist the prediction of other dysbiosis-related diseases.


First Authors:
Zheng Sun,Meng Zhang,Min Li

Correspondence Authors:
Zhihong Sun

All Authors:
Zheng Sun,Meng Zhang,Min Li,Yogendra Bhaskar,Jinshan Zhao,Youran Ji,Hongbing Cui,Heping Zhang,Zhihong Sun

---

① Seventy-seven Chinese male crew members were included, and the intestinal flora, physiological and psychological changes before and after 135 days of voyage were evaluated through questionnaires and sequencing; ② 55 crew members developed "sea-going syndrome" (SS) during the period, and the core symptoms were abnormal defecation frequency, Insomnia, poor sleep, nausea, and overeating; ③The gut microbiota was significantly associated with SS (rather than a single symptom), and SS crew members had different microbiome dynamics and characteristics from healthy crew members (19 species of bacteria and 26 gene families were different) ); ④The occurrence of SS was predicted with 84.
4% accuracy using a random forest model based on 28 markers from pre-voyage samples, and was validated in another sailing cohort with 83.
3% accuracy
.
Editor-in-chief's recommendation mildbreeze chronic disease is an important health problem today, and its association with intestinal flora imbalance has been widely reported and studied, but the relationship between sub-health status and intestinal flora remains to be elucidated
.
Microbiology spectrum recently published a study by Sun Zhihong and his team from Inner Mongolia Agricultural University, evaluating the health status of crew members on long-term ocean voyages, indicating that ocean voyages may cause different symptoms in different crew groups, but there is a group of high-incidence core symptoms.
The state of health is named "Ocean Syndrome"
.
The study further sheds light on the relationship between pelagic syndrome and gut microbiota and identifies microbiota markers that predict its occurrence
.
This study provides a potential strategy for health management in extreme environments, and has reference value for predicting dysbiosis-related diseases
.


Microbiology spectrum[IF:7.
171] Interactions between Human Gut Microbiome Dynamics and Sub-Optimal Health Symptoms during Seafaring Expeditions

10.
1128

/spectrum.
00925-21

01-12 , Article

Abstract:

During long ocean voyages, crew members are subject to complex pressures from their living and working environment, which lead to chronic diseases-like sub-optimal health status.
Although the association between dysbiotic gut microbiome and chronic diseases has been broadly reported, the correlation between the sub-optimal health status and gut microbiome remains elusive.
Here, the health status of 77 crew members (20-35 years old Chinese, male) during a 135-day sea expedition was evaluated using the shotgun metagenomics of stool samples and health questionnaires taken before and after the voyage.
We found five core symptoms (eg, abnormal defecation frequency, insomnia, poor sleep quality, nausea, and overeating) in 55 out of 77 crew members suffering from sub-optimal health status, and this was termed " seafaring syndrome"(SS) in this study.
Significant correlation was found between the gut microbiome and SS rather than any single symptom.
For example, SS was proven to be associated with individual perturbation in the gut microbiome, and the microbial dynamics between SS and non-SS samples were different during the voyage.
Moreover, the microbial signature for SS was identified using the variation of 19 bacterial species and 26 gene families.
Furthermore, using a Random Forest model, SS was predicted with high accuracy (84.
4%, area under the concentration -time curve = 0.
91) based on 28 biomarkers from pre-voyage samples, and the prediction model was further validated by another 30-day voyage cohort (accuracy = 83.
3%).
The findings in this study provide insights to help us discover potential predictors or even therapeutic targets for dysbiosis-related diseases.
Systemic and chronic diseases are important health problems today and have been proven to be strongly associated with dysbiotic gut microbiome.
Studying the association between the gut microbiome and sub-optimal health status of humans in extreme environments (such as ocean voyages) will give us a better understanding of the interactions between observable health signs and a stable versus dysbiotic gut microbiome states.
In this paper, we illustrated that ocean voyages could trigger different symptoms for different crew member cohorts due to individual differences; however, the co-occurrence of high prevalence Symptoms indicated widespread perturbation of the gut microbiome.
By investigating the microbial signature and gut microbiome dynamics, we demonstrated that such sub-optimal health status can be predicted even before the voyage.
We termed this phenomenon as "seafaring syndrome.
" This study not only provides the potential strategy for health management in extreme environments but also can assist the prediction of other dysbiosis-related diseases.


First Authors:
Zheng Sun,Meng Zhang,Min Li

Correspondence Authors:
Zhihong Sun

All Authors:
Zheng Sun,Meng Zhang,Min Li,Yogendra Bhaskar,Jinshan Zhao,Youran Ji,Hongbing Cui,Heping Zhang,Zhihong Sun

---