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Journal Article Ppublish 15 citations

PubMed: 38879123 DOI: 10.1016/j.jare.2024.05.030

Associations between specific dietary patterns, gut microbiome composition, and incident subthreshold depression in Chinese young adults.

J Adv Res 65:183-195

Authors: Xiumin Jiang, Xiaotong Wang, Meng Zhang, Lin Yu, Jun He, Shengwei Wu, Jinglan Yan, Yuanjia Zheng, Yuanyuan Zhou, Yongjun Chen

Affiliations

  • Institute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China; South China Research Center for Acupuncture and Moxibustion, Clinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China; South China Research Center for Acupuncture and Moxibustion, Clinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Institute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Department of Traditional Chinese Medicine, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Sleep Research Institute of Integrative Medicine, the Affiliated TCM Hospital of Guangzhou Medical University, Guangzhou, China.
  • Rehabilitation Center, Counseling Department, the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Department of Traditional Chinese Medicine, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
  • Institute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China; South China Research Center for Acupuncture and Moxibustion, Clinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.

Abstract

INTRODUCTION

The interplay between influential factors and the incidence of subthreshold depression (SD) in young adults remains poorly understood.

OBJECTIVES

This study sought to understand the dietary habits, gut microbiota composition, etc. among individuals with SD in young adults and to investigate their association with SD occurrence.

METHODS

Employing a cross-sectional approach, 178 individuals with SD, aged 18-32 years, were matched with 114 healthy counterparts. SD status was evaluated using the Zung Self-rating Depression Scale (SDS), Zung Self-rating Anxiety Scale (SAS), Beck Depression Inventory 2nd version (BDI-II), the 17-item Hamilton Rating Scales of Depression (HAMD-17), and Pittsburgh Sleep Quality Index (PSQI). Metagenomic sequencing was utilized to identify fecal microbial profiles. Dietary patterns were discerned via factor analysis of a 25-item food frequency questionnaire (FFQ). Logistic regression analysis and mediation analysis were performed to explore the potential links between gut microbiota, dietary patterns, and incident SD.

RESULTS

Data on dietary habits were available for 292 participants (mean [SD] age, 22.1 [2.9] years; 216 [73.9 %] female). Logistic regression analysis revealed that dietary patterns Ⅰ (odds ratio [OR], 0.34; 95 % CI, 0.15-0.75) and IV (OR, 0.39; 95 % CI, 0.17-0.86 and OR, 0.39; 95 % CI, 0.18-0.84) were associated with reduced risk of SD. Distinct microbial profiles were observed in young adults with SD, marked by increased microbial diversity and taxonomic alterations. Moreover, mediation analysis suggested Veillonella atypica as a potential mediator linking SDS or BDI-II scores with a healthy dietary pattern rich in bean products, coarse grains, nuts, fruits, mushrooms, and potatoes (β = 0.25, 95 % CI: 0.02-0.78 and β = 0.18, 95 % CI: 0.01-0.54).

CONCLUSIONS

Our findings highlight the complex interplay between dietary patterns, gut microbiota, and the risk of developing SD in young adults, underscoring the potential for dietary interventions and microbiome modulation in mental health promotion.

MeSH

Depression, Regression Analysis, Feeding Behavior, Mediation Analysis, Gastrointestinal Microbiome, Negotiating, Microbiota, Dietary Patterns

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