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The Component and Functional Pathways of Gut Microbiota Are Altered in Populations with Poor Sleep Quality – A Preliminary Report

Jianghui Zhang

Jianghui Zhang

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Zhang, Jianghui
, 
Xueqing Zhang

Xueqing Zhang

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Zhang, Xueqing
, 
Kexin Zhang

Kexin Zhang

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Zhang, Kexin
, 
Xiaoyan Lu

Xiaoyan Lu

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Lu, Xiaoyan
, 
Guojing Yuan

Guojing Yuan

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Yuan, Guojing
, 
Huayu Yang

Huayu Yang

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Yang, Huayu
, 
Haiyun Guo

Haiyun Guo

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Guo, Haiyun
, 
Zhihui Zhu

Zhihui Zhu

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Zhu, Zhihui
, 
Tianli Wang

Tianli Wang

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Wang, Tianli
, 
Jiahu Hao

Jiahu Hao

Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical UniversityHefei, China
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Hao, Jiahu
, 
Ying Sun

Ying Sun

Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical UniversityHefei, China
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Sun, Ying
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Puyu Su

Puyu Su

Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical UniversityHefei, China
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Su, Puyu
 and 
Zhihua Zhang

Zhihua Zhang

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical UniversityHefei, China
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Zhang, Zhihua
  
Jun 19, 2022
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Article Category: Original Paper
Published Online: Jun 19, 2022
Page range: 241 - 250
Received: Dec 14, 2021
Accepted: Apr 05, 2022
DOI: https://doi.org/10.33073/pjm-2022-021
Keywords
© 2022 Jianghui Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1

Comparison of gut microbiota’s alpha diversity indices between the SD and HC groups, including Observed, Chao 1, ACE, Shannon, Simpson, and Coverage. Plotted in the graphics are the interquartile ranges and boxes, medians (lines in the box), and the lowest and highest values for the first and third quartiles. The abscissa represents a different group; the ordinate represents the value of each diversity index. Different colors distinguish different groups.
Comparison of gut microbiota’s alpha diversity indices between the SD and HC groups, including Observed, Chao 1, ACE, Shannon, Simpson, and Coverage. Plotted in the graphics are the interquartile ranges and boxes, medians (lines in the box), and the lowest and highest values for the first and third quartiles. The abscissa represents a different group; the ordinate represents the value of each diversity index. Different colors distinguish different groups.

Fig. 2

The boxplot chart shows the beta diversity of the bacterial communities from the two groups, based on the Jaccard (A) and Bray-Curtis (B) distances, respectively. The interquartile ranges and boxes, medians (lines in the box), and the lowest and highest values for the first and third quartiles are plotted in the graph. Colors identify each group, and a black dot represents each sample.
The boxplot chart shows the beta diversity of the bacterial communities from the two groups, based on the Jaccard (A) and Bray-Curtis (B) distances, respectively. The interquartile ranges and boxes, medians (lines in the box), and the lowest and highest values for the first and third quartiles are plotted in the graph. Colors identify each group, and a black dot represents each sample.

Fig. 3

Different color dots represent different groups; the horizontal and vertical axis scale is the relative distance without a practical significance; X-variable 1 and variable 2 represent the putative factors influencing changes in the microbial composition of two groups of samples, respectively. The plot is based on the weighted Unifrac distance.
Different color dots represent different groups; the horizontal and vertical axis scale is the relative distance without a practical significance; X-variable 1 and variable 2 represent the putative factors influencing changes in the microbial composition of two groups of samples, respectively. The plot is based on the weighted Unifrac distance.

Fig. 4

The bacterial taxa’s linear discriminant analysis (LDA) effect size (LEfSe). LEfSe plot shows the top ten species with the smallest p-value for each group. Ten bacterial taxa were enriched in the SD group (green), and six bacterial taxa were enriched in the HC group (blue).
The bacterial taxa’s linear discriminant analysis (LDA) effect size (LEfSe). LEfSe plot shows the top ten species with the smallest p-value for each group. Ten bacterial taxa were enriched in the SD group (green), and six bacterial taxa were enriched in the HC group (blue).

Fig. 5

Each point represents a sample and the 95% confidence intervals of the correlation coefficients are shown by grey areas. The relative abundances of genus Holdemanella in the samples were 0.
Each point represents a sample and the 95% confidence intervals of the correlation coefficients are shown by grey areas. The relative abundances of genus Holdemanella in the samples were 0.

Fig. 6

Functional prediction analysis of the gut microbiota in the SD and HC groups. Each color represents one group. The bar graph represents the pathways with a significant difference in relative abundance between the two groups. The figure on the right shows 95.0% confidence intervals and p-value.
Functional prediction analysis of the gut microbiota in the SD and HC groups. Each color represents one group. The bar graph represents the pathways with a significant difference in relative abundance between the two groups. The figure on the right shows 95.0% confidence intervals and p-value.

Correlation analysis of the selected bacterial species with the PSQI score_

Level Taxon name Relative abundance (%) q-value r
Phylum Elusimicrobia 0.171 ± 0.995 0.007* –0.108
Phylum Tenericutes 0.123 ± 0.631 0.030* –0.183
Class Elusimicrobia 0.171 ± 0.995 0.023* –0.108
Class Mollicutes 0.123 ± 0.631 0.069 –0.183
Class Erysipelotrichia 2.606 ± 2.604 0.276   0.384*
Order Elusimicrobiales 0.171 ± 0.995 0.014* –0.108
Order Anaeroplasmatales 0.123 ± 0.631 0.058 –0.183
Order Desulfovibrionales 0.303 ± 0.259 0.188   0.328
Order Erysipelotrichales 2.606 ± 2.604 0.208   0.384
Family Elusimicrobiaceae 0.171 ± 0.995 0.027* –0.108
Family Anaeroplasmataceae 0.123 ± 0.631 0.110 –0.183
Family Desulfovibrionaceae 0.303 ± 0.259 0.286   0.328
Family Erysipelotrichaceae 2.606 ± 2.604 0.339   0.384*
Genus Holdemanella 0.647 ± 1.490 0.033*   0.601**
Genus Elusimicrobium 0.171 ± 0.995 0.033* –0.108
Genus Asteroleplasma 0.123 ± 0.631 0.159 –0.183
Species uncultured_proteobacterium 0.128 ± 0.748 0.035* –0.183
Species uncultured_bacterium 3.700 ± 2.810 0.707   0.323

Demographic characteristics of the participants_

Characteristics SD (n = 17) HC (n = 17) t / χ 2 $\mathrm{t} / \chi^{2}$ p-value
Male/Female 10/7 7/10 0.159 0.303
Age (years) 20.059 ± 0.785 19.662 ± 0.611 1.646 0.109
BMI (kg/m2) 21.229 ± 2.194 20.167 ± 2.172 1.419 0.166
PSQI score   9.059 ± 1.144   5.118 ± 1.576 8.342 < 0.001
Language:
English
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Journal Subjects:
Life Sciences, Microbiology and Virology
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