Association of Coffee and Tea Consumption with Cardiovascular Disease, Chronic Respiratory Disease, and their Comorbidity

Chen, Yanchun; Zhang, Yuan; Yang, Hongxi; Ma, Yue; Zhou, Lihui; Lin, Jing; Hou, Yabing; Yu, Bin; Wang, Yaogang

doi:10.1002/mnfr.202200419

Cited by 7 publications

(3 citation statements)

References 39 publications

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“…are processed to make tea, a fragrant herbal beverage consumed worldwide for refreshment and health. Indeed, drinking 2–3 cups of tea per day has been shown to be associated with lower morbidity of chronic respiratory diseases (Chen et al 2022b ). Moreover, the main active compounds in tea, including polyphenols, saponins, polysaccharides, and theanine, have anti-allergic properties (Li et al 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Camellia sinensis L. alleviates OVA-induced allergic asthma through NF-κB and MMP-9 pathways

Pak,

Lee,

Kim

et al. 2024

Animal Cells and Systems

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Allergic asthma, a type of chronic airway inflammation, is a global health concern because of its increasing incidence and recurrence rates. Camellia sinensis L. yields a variety type of teas, which are also used as medicinal plants in East Asia and are known to have antioxidant, anti-inflammatory, and immune-potentiating properties. Here, we examined the constituents of C. sinensis L. extract (CSE) and evaluated the protective effects of CSE on allergic asthma by elucidating the underlying mechanism. To induce allergic asthma, we injected the sensitization solution (mixture of ovalbumin (OVA) and aluminum hydroxide) into mice intraperitoneally on days 0 and 14. Then, the mice were exposed to 1% OVA by a nebulizer on days 21 to 23, while intragastric administration of CSE (30 and 100 mg/kg) was performed each day on days 18 to 23. We detected five compounds in CSE, including (-)-epigallocatechin, caffeine, (-)-epicatechin, (-)-epigallocatechin gallate, and (-)-epicatechin gallate. Treatment with CSE remarkably decreased the airway hyperresponsiveness, OVA-specific immunoglobulin E level, and inflammatory cell and cytokine levels of mice, with a decrease in inflammatory cell infiltration and mucus production in lung tissue. Treatment with CSE also decreased the phosphorylation of nuclear factor-κB (NF-κB) and the expression of matrix-metalloproteinase (MMP)-9 in asthmatic mice. Our results demonstrated that CSE reduced allergic airway inflammation caused by OVA through inhibition of phosphorylated NF-κB and MMP-9 expression.

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Section: Discussionmentioning

confidence: 99%

Camellia sinensis L. alleviates OVA-induced allergic asthma through NF-κB and MMP-9 pathways

Pak,

Lee,

Kim

et al. 2024

Animal Cells and Systems

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“…On the other hand, the presence of the substantial amount of caffeine in tea may cause cardiac arrhythmia ( Voskoboinik et al, 2019 ). So far, several studies reported that habitual tea intake may reduce the risk of CVD ( Wang et al, 2020 ; Niu et al, 2021 ; Chen et al, 2022 ). However, other observational studies suggested that tea consumption may be associated with a higher risk of CVD ( Malasevskaia et al, 2020 ; Feng et al, 2021 ; Zheng et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

No causal association between tea consumption and 7 cardiovascular disorders: A two-sample Mendelian randomization study

Cai

Jiang

2022

Front. Genet.

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Background: Previous studies have reported inconsistent results on the causal association between habitual tea consumption and the risk of cardiovascular disease (CVD). This study is aim to determine the association between habitual tea intake and CVD using two-sample Mendelian randomization (MR) analysis.Methods: The genetically predicted causation between tea consumption and 7 common cardiovascular diseases (atrial fibrillation, hypertension, acute myocardial infarction, coronary atherosclerosis, peripheral vascular disease, angina, and heart failure) was evaluated using MR analysis model. We performed a total of 9 MR analysis methods to analyze the final results. The IVW methods was used as the primary outcome. The other MR analysis method (simple mode, weighted mode, simple median, weighted median, penalized weighted median, MR Egger, and MR-Egger (bootstrap)) were performed as the complement to IVW. Also, the robustness of the MR analysis results was assessed using a leave-one-out analysis.Results: The IVW analysis methods indicated that there is no causal association between tea consumption and risk of CVD (AF: OR, 0.997, 95% CI, 0.992–1.0001, p = 0.142; hypertension: OR, 0.976, 95% CI, 0.937–1.017, p = 0.242; AMI: OR, 0.996, 95% CI, 0.991–1.000, p = 0.077; CA: OR, 1.001, 95% CI, 0.993–1.009, p = 0.854; PVD: OR, 1.002, 95% CI, 1.000–1.005, p = 0.096; angina: OR, 0.999, 95% CI, 0.993–1.006, p = 0.818; HF: OR, 0.999, 95% CI, 0.996–1.002, p = 0.338). The other MR analysis method and further leave-one-out sensitivity analysis suggested the results were robust.Conclusion: This MR study indicated that there was no genetically predicted causal association between habitual tea intake and risk of CVD.

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“…Chronic conditions are illnesses that develop gradually and need extended treatment and recovery [2]. Medically, chronic conditions are diseases with signs that last for longer than six months to over one year-such as Chronic Respiratory Disease (CRD) resulting from industrialization as a contagious illness [3]. Due to the growing geriatric population, the amount of seniors with chronic diseases has risen.…”

mentioning

confidence: 99%

Integrative approach for modern health risk modeling and predicting in patients through artificial intelligence method

Ampavathi,

Tamilselvi,

Kumar Lingamallu

et al. 2024

MATEC Web Conf.

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This research suggests a modeling approach for health risk prediction that utilizes an ambient environment and Artificial Intelligence (AI). The proposed AI-based Health Risk Modeling and Predicting System (AI-HRMPS) included gathering medical records from chronic illness patients, including Electronic Health Records (EHR), Personal Health Records (PHR), medical records, and environmental variables from a health portal. Diverse data is combined via choosing, cleaning, modeling, and assessing raw data, followed by data production. Sensor data is standardized by converting the time-domain details to frequency-domain details. The standardized input is processed using an AI to provide an ambient environment. A health risk prediction system has been proposed to analyze specific health issues about environmental factors. The program utilizes ambient context patterns identified via metadata and AI. The risk prediction framework is integrated into a person's risk alert/prevention mechanism. The system might substantially influence healthcare and AI studies, ultimately enhancing the future society's standard of life.

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Association of Coffee and Tea Consumption with Cardiovascular Disease, Chronic Respiratory Disease, and their Comorbidity

Cited by 7 publications

References 39 publications

Camellia sinensis L. alleviates OVA-induced allergic asthma through NF-κB and MMP-9 pathways

Camellia sinensis L. alleviates OVA-induced allergic asthma through NF-κB and MMP-9 pathways

No causal association between tea consumption and 7 cardiovascular disorders: A two-sample Mendelian randomization study

Integrative approach for modern health risk modeling and predicting in patients through artificial intelligence method

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