Reply to letter: Reversibility of hypertension‐induced subclinical vascular changes: Do the new ACC/AHA 2017 blood pressure guidelines and heart rate changes make a difference?

Czuriga-Kovács, Katalin Réka; Czuriga, Dániel; Kardos, Lászĺo; Soltész, Pál; Csiba, László

doi:10.1111/jch.13601

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Hypertension was defined as systolic blood pressure (SBP) ≥ 140 mm Hg or diastolic blood pressure (DBP) ≥ 90 mm Hg or taking antihypertensive drugs for high blood pressure. We also defined hypertension as SBP > 130 mm Hg or DBP > 80mm Hg or taking antihypertension drugs (26) . Type 2 diabetes was defined as fasting blood glucose level ≥ 126 mg/dl or taking antidiabetic drugs.…”

Section: Methodsmentioning

confidence: 99%

Enhancing selection of alcohol consumption-associated genes by random forest

Lyu,

Joehanes,

Huan

et al. 2024

Br J Nutr

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Machine learning methods have been used in identifying omics markers for a variety of phenotypes. We aimed to examine whether a supervised machine learning algorithm can improve identification of alcohol-associated transcriptomic markers. In this study, we analyzed array-based, whole-blood derived expression data for 17,873 gene transcripts in 5,508 Framingham Heart Study participants. By using the Boruta algorithm, a supervised Random Forest (RF)-based feature selection method, we selected 25 alcohol-associated transcripts. In a testing set (30% of entire study participants), AUCs (area under the receiver operating characteristics curve) of these 25 transcripts were 0.73, 0.69, and 0.66 for nondrinkers vs. moderate drinkers, nondrinkers vs. heavy drinkers, and moderate drinkers vs. heavy drinkers, respectively. The AUCs of the selected transcripts by the Boruta method were comparable to those identified using conventional linear regression models, e.g., AUCs of 1,985 transcripts identified by conventional linear regression models (false discovery rate < 0.05) were 0.72, 0.68, and 0.68, respectively. With Bonferroni correction for the 25 Boruta method selected transcripts and three CVD risk factors (i.e., at P < 6.7e-4), we observed 13 transcripts were associated with obesity, 3 transcripts with type 2 diabetes, and 1 transcript with hypertension. For example, we observed that alcohol consumption was inversely associated with the expression of DOCK4, IL4R, and SORT1, and DOCK4 and SORT1 were positively associated with obesity and IL4R was inversely associated with hypertension. In conclusion, using a supervised machine learning method, the RF-based Boruta algorithm, we identified novel alcohol-associated gene transcripts.

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Section: Methodsmentioning

confidence: 99%

Enhancing selection of alcohol consumption-associated genes by random forest

Lyu,

Joehanes,

Huan

et al. 2024

Br J Nutr

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“…Worldwide, cardio- and cerebrovascular diseases are identified as leading causes of death, and are attributable to the common underlying mechanism of atherosclerosis. [1] Hypertension is one of the most important independent risk factors of atherosclerosis. [2] The vascular system is a predilection site of hypertension-related damage.…”

Section: Introductionmentioning

confidence: 99%

Influence of angiotensin-converting enzyme inhibition on reversibility of alterations in arterial wall and cognitive performance associated with early hypertension

et al. 2019

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The importance of optimal blood pressure control for preventing or reducing the impairment of vascular and cognitive functions is well known. However, the reversibility of early alterations in vascular and cognitive functions through antihypertensive agents is under-investigated. In this study, we evaluated the influence of 3 months of angiotensin-converting enzyme (ACE) inhibition treatment on the morphological and functional arterial wall and cognitive performance changes in 30 newly diagnosed primary hypertensive patients. Common carotid intima-media thickness (IMT) and brachial artery flow-mediated dilatation (FMD) were detected by ultrasonography. Arterial stiffness indicated by augmentation index (AIx) and pulse wave velocity (PWV) was assessed by arteriography. Cognitive functions were assessed by neuropsychological examination. The executive function overall score was significantly higher at 3-month follow-up than at baseline (median, 0.233 (IQR, 0.447) vs –0.038 (0.936); P = .001). Three-month ACE inhibition did not produce significant improvement in IMT, FMD, AIx and PWV values. Significant negative associations were revealed between IMT and complex attention ( r = –0.598, P = .0008), executive function ( r = –0.617, P = .0005), and immediate memory ( r = –0.420, P = .026) overall scores at follow-up. AIx had significant negative correlations with complex attention ( r = –0.568, P = .001), executive function ( r = –0.374, P = .046), and immediate memory ( r = –0.507, P = .005). PWV correlated significantly and negatively with complex attention ( r = –0.490, P = .007). Timely and effective antihypertensive therapy with ACE inhibitors has significant beneficial effects on cognitive performance in as few as 3 months. Early ACE inhibition may have an important role in the reversal of initial impairments of cognitive function associated with hypertension-induced vascular alterations.

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Reply to letter: Reversibility of hypertension‐induced subclinical vascular changes: Do the new ACC/AHA 2017 blood pressure guidelines and heart rate changes make a difference?

Cited by 2 publications

References 11 publications

Enhancing selection of alcohol consumption-associated genes by random forest

Enhancing selection of alcohol consumption-associated genes by random forest

Influence of angiotensin-converting enzyme inhibition on reversibility of alterations in arterial wall and cognitive performance associated with early hypertension

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