Case-control study on the associations between lifestyle-behavioral risk factors and phlegm-wetness constitution

Zhu, Yanbo; Wang, Qi; Dai, Zhaoyu; Origasa, Hideki; Di, Jie; Wang, Yangyang; Lin, Lin; Fan, Chunpok

doi:10.1016/s0254-6272(14)60092-3

Cited by 10 publications

(10 citation statements)

References 6 publications

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“…The hypomethylated genes (BCL11B, HLA-C, FOXP1, FOXP1) were mainly involved with immunological and inflammatory diseases [44]. It was noteworthy that these molecular features are consistent with previous publications and clinical observations in TCM [16, 44, 45]. In this experiment, the findings were limited by the relatively small numbers of samples.…”

Section: Discussionsupporting

confidence: 87%

Genome-Wide DNA Methylation Profiles of Phlegm-Dampness Constitution

Yao¹,

Mo²,

Wang³

et al. 2018

Cell Physiol Biochem

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Background/Aims: Metabolic diseases are leading health concerns in today’s global society. In traditional Chinese medicine (TCM), one body type studied is the phlegm-dampness constitution (PC), which predisposes individuals to complex metabolic disorders. Genomic studies have revealed the potential metabolic disorders and the molecular features of PC. The role of epigenetics in the regulation of PC, however, is unknown. Methods: We analyzed a genome-wide DNA methylation in 12 volunteers using Illumina Infinium Human Methylation450 BeadChip on peripheral blood mononuclear cells (PBMCs). Eight volunteers had PC and 4 had balanced constitutions. Results: Methylation data indicated a genome-scale hyper-methylation pattern in PC. We located 288 differentially methylated probes (DMPs). A total of 256 genes were mapped, and some of these were metabolic-related. SQSTM1, DLGAP2 and DAB1 indicated diabetes mellitus; HOXC4 and SMPD3, obesity; and GRWD1 and ATP10A, insulin resistance. According to Ingenuity Pathway Analysis (IPA), differentially methylated genes were abundant in multiple metabolic pathways. Conclusion: Our results suggest the potential risk for metabolic disorders in individuals with PC. We also explain the clinical characteristics of PC with DNA methylation features.

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Section: Discussionsupporting

confidence: 87%

Genome-Wide DNA Methylation Profiles of Phlegm-Dampness Constitution

Yao¹,

Mo²,

Wang³

et al. 2018

Cell Physiol Biochem

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“…Vascular damage appears to become worse with the accumulation of phlegm, which results in ischemic stroke. Furthermore, in our study, patients with PSIC syndrome were found to have a higher percentage of drinking history, which is concurrent with the study by Zhu et al [36], which stated that the risk factors of a phlegmwetness body type were caused by alcohol consumption.…”

Section: Discussionsupporting

confidence: 92%

The Discriminative Efficacy of Retinal Characteristics on Two Traditional Chinese Syndromes in Association with Ischemic Stroke

Zhuo

Kuang

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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We aimed to investigate the efficacy of an objective method using AI-based retinal characteristic analysis to automatically differentiate between two traditional Chinese syndromes that are associated with ischemic stroke. Inpatient clinical and retinal data were retrospectively retrieved from the archive of our hospital. Patients diagnosed with cerebral infarction in the department of acupuncture and moxibustion between 2014 and 2018 were examined. Of these, the patients with Qi deficiency blood stasis syndrome (QDBS) and phlegm stasis in channels (PSIC) syndrome were selected. Those without retinal photos were excluded. To measure and analyze the patients’ retinal vessel characteristics, we applied a patented AI-assisted automated retinal image analysis system developed by the Chinese University of Hong Kong. The demographic, clinical, and retinal information was compared between the QDBS and PSIC patients. The t-test and chi-squared test were used to analyze continuous data and categorical data, respectively. All the selected clinical information and retinal vessel measures were used to develop different discriminative models for QDBS and PSIC using logistic regression. Discriminative efficacy and model performances were evaluated by plotting a receiver operating characteristic curve. As compared to QDBS, the PSIC patients had a lower incidence of insomnia problems (46% versus 29% respectively, p=0.023) and a higher tortuosity index (0.45 ± 0.07 versus 0.47 ± 0.07, p=0.027). Moreover, the area under the curve of the logistic model showed that its discriminative efficacy based on both retinal and clinical characteristics was 86.7%, which was better than the model that employed retinal or clinical characteristics individually. Thus, the discriminative model using AI-assisted retinal characteristic analysis showed statistically significantly better performance in QDBS and PSIC syndrome differentiation among stroke patients. Therefore, we concluded that retinal characteristics added value to the clinical differentiation between QDBS and PSIC.

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“…Alcohol might also induce hypoglycemia. Tobacco and liquor consumption also indicate bad lifestyle behaviors, which lead to weight loss. Previous research has shown that individuals might be lean because of the chronic accumulation of metabolic, inflammatory and pathological conditions caused by long‐term exposure to smoking, drinking and unhealthy diets.…”

Section: Discussionmentioning

confidence: 99%

Lower body mass index is not of more benefit for diabetic complications

Zhang

Guo

Shen

et al. 2019

J of Diabetes Invest

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Aims/Introduction To investigate the relationship between different body mass index (BMI) levels and vascular complications in type 2 diabetes mellitus patients. Materials and Methods Data were collected from 3,224 individuals with type 2 diabetes mellitus (male/female: 1,635/1,589; age 61.31 ± 11.45 years), using a retrospective case study design. The association of BMI quintiles and diabetes mellitus vascular complications was assessed using multiple logistic regression models adjusting for age, sex, diabetes duration, smoking status, drinking and other confounders, using those with the lowest quintile of BMI as the reference group. Results With increasing BMI, the detection rate of diabetic peripheral neuropathy and peripheral arterial disease initially decreased and then it increased, whereas the detection rate of diabetic kidney disease and carotid atherosclerotic plaques showed an upward trend; however, diabetic retinopathy was irregular. The odds ratios of diabetic peripheral neuropathy decreased as BMI increased from the 21st percentile to the 80th percentile initially, and increased when BMI was in >80th percentile. The same result was shown in peripheral arterial disease. BMI >80th percentile showed a 1.426‐fold risk of diabetic kidney disease and a 1.336 ‐fold risk of carotid atherosclerotic plaque. Conclusions In patients with type 2 diabetes mellitus, the relationship between different BMIs and vascular complications varies. A U‐shaped relationship was observed between BMI and diabetic peripheral neuropathy, as well as BMI and peripheral arterial disease. BMI is positively correlated with diabetic kidney disease and carotid atherosclerotic plaque; however, it is not correlated with diabetic retinopathy.

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Case-control study on the associations between lifestyle-behavioral risk factors and phlegm-wetness constitution

Cited by 10 publications

References 6 publications

Genome-Wide DNA Methylation Profiles of Phlegm-Dampness Constitution

Genome-Wide DNA Methylation Profiles of Phlegm-Dampness Constitution

The Discriminative Efficacy of Retinal Characteristics on Two Traditional Chinese Syndromes in Association with Ischemic Stroke

Lower body mass index is not of more benefit for diabetic complications

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