Damp-heat constitution influences gut microbiota and urine metabolism of Chinese infants

Zhao, Haihong; Zong, Yuhan; Li, Wenle; Wang, Yaqi; Zhao, Weibo; Meng, Xianghe; Yang, Fan; Kong, Jingwei; Zhao, Xiaoshan; Wang, Ji

doi:10.1016/j.heliyon.2022.e12424

Cited by 7 publications

(7 citation statements)

References 48 publications

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“…Similarly, ‘Yang-deficiency’ which in TCM is associated with cold sensations and poor circulation, has been shown to affect sleep quality, particularly in the elderly population ( 35 ). ‘Damp-heat’, another TCM constitution classification, refers to a state of imbalance in the body often associated with inflammation ( 36 ). This imbalance has been linked to sleep disturbances in a study published in 2021 ( 37 ).…”

Section: Discussionmentioning

confidence: 99%

Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine

Li,

Zhu,

Cai

et al. 2023

Front. Med.

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ObjectiveThis study sought to explore the utility of machine learning models in predicting insomnia severity based on Traditional Chinese Medicine (TCM) constitution classifications, with an aim to discuss the potential applications of such models in the treatment and prevention of insomnia.MethodsWe analyzed a dataset of 165 insomnia patients from the Shanghai Minhang District Integrated Traditional Chinese and Western Medicine Hospital. TCM constitution was assessed using a standardized Constitution in Chinese Medicine (CCM) scale. Sleep quality, or insomnia severity, was evaluated using the Spiegel Sleep Questionnaire (SSQ). Machine learning models, including Random Forest Classifier (RFC), Support Vector Classifier (SVC), and K-Nearest Neighbors (KNN), were utilized. These models were optimized using Grid Search algorithm and were trained and tested on stratified patient data, with the TCM constitution classifications serving as primary predictors.ResultsThe RFC outperformed others, achieving a weighted average accuracy, precision, recall, and F1-score of 0.91, 0.94, 0.92, and 0.92 respectively, it also effectively classified the severity of insomnia with high area under receiver operating characteristic curve (AUC-ROC) values. Feature importance analysis demonstrated the Damp-heat constitution as the most influential predictor, followed by Yang-deficiency, Qi-depression, Qi-deficiency, and Blood-stasis constitutions.ConclusionThe results demonstrate the potent utility of machine learning, specifically RFC, coupled with TCM constitution classifications in predicting insomnia severity. Notably, the constitution classifications such as Damp-heat and Yang-deficiency emerged as crucial determinants, emphasizing its potential in guiding targeted insomnia treatments. This approach enables the development of more personalized and efficient interventions, thereby enhancing patient outcomes.

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Section: Discussionmentioning

confidence: 99%

Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine

Li,

Zhu,

Cai

et al. 2023

Front. Med.

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“…Previous studies have also shown that TCM constitution is closely related to the occurrence, development and prognosis of diseases. 7–12 , 22 Therefore, a balanced TCM constitution has important potential application value in preventing and alleviating clinical symptoms of COVID-19 patients and accelerating the negative nucleic acid transformation of COVID-19 patients.…”

Section: Discussionmentioning

confidence: 99%

“… 1–6 However, these indicators cannot fully reflect the general physical health status and prognosis of COVID-19 patients, while traditional Chinese medicine (TCM) constitution can reflect the general physical health status of patients and affect the occurrence, development and prognosis of the disease. 7–12 …”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4][5][6] However, these indicators cannot fully reflect the general physical health status and prognosis of COVID-19 patients, while traditional Chinese medicine (TCM) constitution can reflect the general physical health status of patients and affect the occurrence, development and prognosis of the disease. [7][8][9][10][11][12] Traditional Chinese Medicine (TCM) Constitution, proposed by Wang Qi in 1978, 13 refers to the comprehensive and relatively stable inherent characteristics of the human body's morphological structure, physiological function, and psychological state formed during life processes based on both innate endowments and acquired factors. 13 It could be classified into nine types, including balanced, qi-deficient, yang-deficient, yin-deficient, Phlegm-dampness, damp-heat, stagnant blood, stagnant qi, and inherited special constitution.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Different Traditional Chinese Medicine Constitutions on the Clinical Outcomes of COVID-19 Patients Infected with SARS-CoV-2 Omicron Variant: A Retrospective Observational Study

Feng,

Qiu,

Hong

et al. 2023

IDR

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Purpose Traditional Chinese Medicine (TCM) constitution and disease occurrence, development, and prognosis are interrelated. This study aimed to investigate the association between TCM constitution and the time to negative nucleic acid test results in patients with coronavirus disease 2019 (COVID-19) infected with the SARS-CoV-2 Omicron variant. Patients and Methods We identified COVID-19 patients (≥18 years) infected with the SARS-CoV-2 Omicron variant and collected clinical data, including clinical symptoms, time to negative nucleic acid test results, and TCM constitution. Linear and logistic regression analyses explored the relationship between TCM constitution and the time to negative nucleic acid test results in patients with the COVID-19 Omicron variant. Results We included 486 patients with COVID-19, with a mean age of 40.2 years; 321 (66.0%) men and 165 (34.0%) women. Balanced constitution accounted for 43.8%, and unbalanced constitution accounted for 56.2%. Chi-square test showed that different TCM constitutions had significant differences in the influence of clinical symptoms of COVID-19 patients (P < 0.01). After controlling for various factors, multiple linear regression analysis revealed that an unbalanced constitution was significantly positively correlated with time to negative nucleic acid test results (P < 0.05). After controlling for various factors, logistic regression analysis revealed that an unbalanced constitution was closely related to the 7-day nucleic acid test conversion rate (odds ratio (OR): 0.53, 95% confidence interval (CI): 0.36–0.80, P < 0.05). After dividing the unbalanced constitution into deficiency constitution and non-deficiency constitution, the non-deficiency constitution was closely associated with the 7-day nucleic acid test conversion rate (OR = 0.45, 95% CI: 0.28–0.74, P < 0.05). Further analysis revealed that damp-heat constitution in the non-deficiency constitution was associated with the 7-day nucleic acid test conversion rate (OR = 0.33, 95% CI: 0.18–0.60, P < 0.05). Conclusion In patients with COVID-19, an unbalanced constitution is associated with a longer time to negative nucleic acid test results and lower 7-day nucleic acid test conversion rates.

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“…12 Mounting evidence highlights the important impact of gut microbiota on the redox homeostasis of the host. 13 The abnormal intestinal flora dominated by harmful bacteria is a precipitating factor in eliciting oxidative stress, 14 and the structure and diversity of gut microbiota would be disturbed under the stimulation of oxidative stress. 15 It was demonstrated in previous research that probiotics supplementation could modulate the diversity and abundance of intestinal flora.…”

Section: Introductionmentioning

confidence: 99%

The ameliorative mechanism of Lactiplantibacillus plantarum NJAU-01 against d-galactose induced oxidative stress: a hepatic proteomics and gut microbiota analysis

Jin,

Jia,

Yang

et al. 2024

Food Funct.

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Damp-heat constitution influences gut microbiota and urine metabolism of Chinese infants

Cited by 7 publications

References 48 publications

Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine

Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine

Impact of Different Traditional Chinese Medicine Constitutions on the Clinical Outcomes of COVID-19 Patients Infected with SARS-CoV-2 Omicron Variant: A Retrospective Observational Study

The ameliorative mechanism of Lactiplantibacillus plantarum NJAU-01 against d-galactose induced oxidative stress: a hepatic proteomics and gut microbiota analysis

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