Circulating choline pathway nutrients and risk of moyamoya disease

Ge, Peicong; Zhao, Yaobo; Zhai, Yuanren; Zhang, Qian; Ye, Xun; Wang, Jia; Wang, Rong; Zhang, Yan; Zhang, Dong; Zhao, Jizong

doi:10.3389/fnut.2022.953426

Cited by 3 publications

(7 citation statements)

References 42 publications

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“…Spearman correlation tests were used to assess the association between clinical characteristics and MetO quartiles. We have performed three logistic regression models to analyze the role of MetO in MMD and its subtypes, including Crude model, Model 1, and Model 2, which have been described in previous studies (Ge et al, 2022;Zeng et al, 2022) curves and area under curve (AUC) values were used to evaluate the predictive ability of the models for the risk of MMD and its subtypes.…”

Section: Discussionmentioning

confidence: 99%

Association between methionine sulfoxide and risk of moyamoya disease

et al. 2023

Front. Neurosci.

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ObjectiveMethionine sulfoxide (MetO) has been identified as a risk factor for vascular diseases and was considered as an important indicator of oxidative stress. However, the effects of MetO and its association with moyamoya disease (MMD) remained unclear. Therefore, we performed this study to evaluate the association between serum MetO levels and the risk of MMD and its subtypes.MethodsWe eventually included consecutive 353 MMD patients and 88 healthy controls (HCs) with complete data from September 2020 to December 2021 in our analyzes. Serum levels of MetO were quantified using liquid chromatography-mass spectrometry (LC–MS) analysis. We evaluated the role of MetO in MMD using logistic regression models and confirmed by receiver-operating characteristic (ROC) curves and area under curve (AUC) values.ResultsWe found that the levels of MetO were significantly higher in MMD and its subtypes than in HCs (p < 0.001 for all). After adjusting for traditional risk factors, serum MetO levels were significantly associated with the risk of MMD and its subtypes (p < 0.001 for all). We further divided the MetO levels into low and high groups, and the high MetO level was significantly associated with the risk of MMD and its subtypes (p < 0.05 for all). When MetO levels were assessed as quartiles, we found that the third (Q3) and fourth (Q4) MetO quartiles had a significantly increased risk of MMD compared with the lowest quartile (Q3, OR: 2.323, 95%CI: 1.088–4.959, p = 0.029; Q4, OR: 5.559, 95%CI: 2.088–14.805, p = 0.001).ConclusionIn this study, we found that a high level of serum MetO was associated with an increased risk of MMD and its subtypes. Our study raised a novel perspective on the pathogenesis of MMD and suggested potential therapeutic targets.

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Section: Discussionmentioning

confidence: 99%

Association between methionine sulfoxide and risk of moyamoya disease

et al. 2023

Front. Neurosci.

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“…The SPSS software (version 26.0) and R project (version 3.6. 18,20 The testing set was used for validation. Receiver-operating characteristic (ROC) curves and the area under ROC curve (AUC) were used to assess the predictive abilities of models for the risk of MMD and its subtypes.…”

Section: Discussionmentioning

confidence: 99%

“…In Model 1, age, gender, heart rate, SBP, DBP, and BMI were added to crude model. Then WBC count, LY count, monocyte count, neutrophil count, PLT count, GLU, ALB, Cr, UA, TG, TC, HDL, LDL, ApoA, ApoB, and eGFR were further included for Model 2 18,20 . The testing set was used for validation.…”

Section: Methodsmentioning

confidence: 99%

“…The correlation between homocysteine (Hcy) and MMD has been discussed in previous studies 16,17 . Furthermore, the association between decreased levels of choline and betaine and the risk of MMD has been recently identified 18 . It indicated the complex interactions between the Met cycle and the risk of MMD.…”

Section: Introductionmentioning

confidence: 98%

“…16,17 Furthermore, the association between decreased levels of choline and betaine and the risk of MMD has been recently identified. 18…”

Section: Introductionmentioning

confidence: 99%

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Integrated analysis of the association between methionine cycle and risk of moyamoya disease

Liu

et al. 2023

CNS Neurosci Ther

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ObjectiveThe role of methionine (Met) cycle in the pathogenesis and progression of cardiovascular and cerebrovascular diseases has been established, but its association with moyamoya disease (MMD) has rarely been studied. This study aimed to analyze the levels of Met cycle‐related metabolites and constructed a risk model to explore its association with the risk of MMD.MethodsIn this prospective study, a total of 302 adult MMD patients and 88 age‐matched healthy individuals were consecutively recruited. The serum levels of Met cycle‐related metabolites were quantified by liquid chromatography‐mass spectrometry (LC–MS). Participants were randomly divided into training set and testing set at a ratio of 1:1. The training set was used to construct the risk score model by LASSO regression. The association between Met cycle‐related risk score and the risk of MMD was analyzed using logistic regression and assessed by ROC curves. The testing set was used for validation.ResultsThe levels of methionine sulfoxide and homocysteine were significantly increased, while the levels of betaine and choline were significantly decreased in MMD and its subtypes compared to healthy controls (p < 0.05 for all). The training set was used to construct the risk model and the risk score of each participant has been calculated. After adjusting for potential confounders, the risk score was independently associated with the risk of MMD and its subtypes (p < 0.05 for all). We then divided the participants into low‐risk and high‐risk groups, the high‐risk score was significantly associated with the risk of MMD and its subtypes (p < 0.05 for all). The risk scores were further assessed as tertiles, the highest tertile was significantly associated with a higher risk of MMD and its subtypes compared to the lowest (p < 0.05 for all). The results were validated in the testing set.ConclusionThis study has constructed and validated a risk model based on Met cycle‐related metabolites, which was independently associated with the risk of MMD and its subtypes. The findings provided a new perspective on the risk evaluation and prevention of MMD.

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