Association between age and progression of carotid artery atherosclerosis: a serial high resolution magnetic resonance imaging study

Lu, Mingming; Peng, Peng; Qiao, Huiting; Cui, Yuanyuan; Ma, Lu; Cui, Bao; Cai, Jianming; Zhao, Xihai

doi:10.1007/s10554-019-01538-4

Cited by 10 publications

(6 citation statements)

References 26 publications

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“…To address sex- and age-specific differences noted in previous studies ( 42 , 43 ), this study analyzed the association between thyroid hormone sensitivity and diabetes by sex and age, respectively. The risk of carotid plaque in patients with CHD is higher in males than in females and continues to increase with age ( 5 , 13 ).…”

Section: Discussionmentioning

confidence: 99%

Impaired sensitivity to thyroid hormones and carotid plaque in patients with coronary heart disease: A RCSCD-TCM study in China

Liu

Yang

et al. 2022

Front. Endocrinol.

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ContextPrevious studies on the association between thyroid function and carotid plaque have shown contradictory results, which may be attributable to the sensitivity to thyroid hormone indices. This study aimed to analyze the association between thyroid hormone sensitivity and risk of carotid plaque in patients with coronary heart disease (CHD) and further explore this association according to sex, age, smoking, and drinking status.MethodsThis large-scale, multi-center, retrospective, cross-sectional study included 6679 patients with CHD (age 35–75). Central sensitivity to thyroid hormone was evaluated by the thyroid feedback quantile-based index (TFQI), parametric thyroid feedback quantile-based index (PTFQI), thyroid-stimulating hormone index (TSHI), and thyrotroph thyroxine resistance index (TT4RI). Peripheral sensitivity to thyroid hormone was assessed by free triiodothyronine/free thyroxine (FT3/FT4) ratio. Taking no carotid plaque as a reference, this study used logistic regression to analyze the association between central and peripheral thyroid hormone sensitivity and carotid plaque in patients with CHD.ResultsOf the 6679 patients with CHD, 4843 (72.50%) had carotid plaque. In the multi-adjusted models, the TFQI (odds ratio [OR]: 1.50; 95% confidence interval [CI]: 1.26–1.78; P < 0.001), PTFQI (OR: 1.76; 95% CI: 1.46–2.12; P < 0.001), TSHI (OR: 1.21; 95% CI: 1.10–1.33; P < 0.001), and TT4RI (OR: 1.00; 95% CI: 1.00–1.01; P = 0.003) were positively associated with the risk of carotid plaque. Compared with that in females and people > 60 years, the OR value for carotid plaque was higher in males and people ≤ 60 years. Similarly, smokers and drinkers had higher OR values for carotid plaque than non-smokers and non-drinkers. Conversely, FT3/FT4 ratio (OR: 0.75; 95% CI: 0.70–0.81; P < 0.001) was negatively associated with carotid plaque, and the OR value for carotid plaque was lower in males, patients ≤ 60 years, smokers, and drinkers.ConclusionThis study showed that thyroid hormone sensitivity is significantly associated with carotid plaque in patients with CHD. This association is more significant in males, patients ≤ 60 years, smokers, and drinkers.

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Section: Discussionmentioning

confidence: 99%

Impaired sensitivity to thyroid hormones and carotid plaque in patients with coronary heart disease: A RCSCD-TCM study in China

Liu

Yang

et al. 2022

Front. Endocrinol.

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“…The Tromsø Study conducted back in the 1970s demonstrated that the prevalence of carotid plaques increases with age, regardless of gender (Joakimsen et al, 1999). In recent years, a small-scale cohort study (Lu et al, 2019) utilizing high-resolution magnetic resonance imaging for diagnosing carotid plaques confirmed that compared to patients under 60 years old, those aged 60-75 and even above 75 exhibited a greater annual change in carotid artery wall volume and maximum wall area. Furthermore, it was established that age is independently associated with the progression of carotid plaques.…”

Section: Discussionmentioning

confidence: 99%

Utilizing machine learning algorithms for the prediction of carotid artery plaques in a Chinese population

Weng,

Chen,

Ding

et al. 2023

Front. Physiol.

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Background: Ischemic stroke is a significant global health issue, imposing substantial social and economic burdens. Carotid artery plaques (CAP) serve as an important risk factor for stroke, and early screening can effectively reduce stroke incidence. However, China lacks nationwide data on carotid artery plaques. Machine learning (ML) can offer an economically efficient screening method. This study aimed to develop ML models using routine health examinations and blood markers to predict the occurrence of carotid artery plaques.Methods: This study included data from 5,211 participants aged 18–70, encompassing health check-ups and biochemical indicators. Among them, 1,164 participants were diagnosed with carotid artery plaques through carotid ultrasound. We constructed six ML models by employing feature selection with elastic net regression, selecting 13 indicators. Model performance was evaluated using accuracy, sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), F1 score, kappa value, and Area Under the Curve (AUC) value. Feature importance was assessed by calculating the root mean square error (RMSE) loss after permutations for each variable in every model.Results: Among all six ML models, LightGBM achieved the highest accuracy at 91.8%. Feature importance analysis revealed that age, Low-Density Lipoprotein Cholesterol (LDL-c), and systolic blood pressure were important predictive factors in the models.Conclusion: LightGBM can effectively predict the occurrence of carotid artery plaques using demographic information, physical examination data and biochemistry data.

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“…Комплексное изображение, полученное при использовании оптической когерентной томографии, или молекулярная визуализация с использованием целевых индикаторов, позволяет анализировать морфологию бляшки, состав и степень воспаления. Использование визуализации в кардиологии может быть предложено для оценки фенотипа бляшек высокого риска [1,2]. Определение предшествующих белкам транскриптов является информативным показателем изменений при патологических процессах и позволяет оценить степень выраженности заболевания до возникновения его фенотипических проявлений.…”

Section: сибирский журнал клинической и экспериментальной медициныunclassified

Analysis of differential expression of lipid metabolism genes in atherosclerotic plaques in patients with coronary atherosclerosis

Shakhtshneider

Ivanoshchuk

Ragino

et al. 2022

SJCEM

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Aim. The goal of the study was to analyze the differential expression of lipid metabolism-related genes in the atherosclerotic plaques of different types in patients with coronary atherosclerosis.Material and Methods. The study was performed on the specimens of atherosclerotic plaques in 45–65-year-old patients with coronary atherosclerosis with stable exertional angina functional class II-IV without acute coronary syndrome. Coronary atherosclerosis was verified by coronary angiography. Atherosclerotic plaque tissue was sampled intraoperatively when indicated. Whole-genome sequencing of ribonucleic acid (RNA) was performed using the TruSeq RNA Sample Preparation Kit (Illumina, USA).Results. We analyzed the differences in the expression of 12 genes including LDLR, APOB, PCSK9, LDLRAP1, LIPA, STAP1, ABCA1, APOA1, APOE, LPL, SCARB1, and SREBF2 depending on the type of atherosclerotic plaques. The expression level of APOE gene was eight times higher in unstable atherosclerotic plaques of dystrophic-necrotic type (p < 0.0001). The expression levels of LDLR and APOB genes were eight times higher in stable atherosclerotic plaques (p < 0.0001). We did not find differences in the expression levels of the ABCG5, ABCG8, APOC3, CETP, CLPS, CYP7A1, and PNPLA5 genes.Conclusion. The study showed the differences in the activity of individual metabolism-related genes in the atherosclerotic plaques of different types in patients with coronary atherosclerosis. Obtained data may become the basis for the development of test systems aimed at predicting the development of atherosclerotic process and its complications.

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Association between age and progression of carotid artery atherosclerosis: a serial high resolution magnetic resonance imaging study

Cited by 10 publications

References 26 publications

Impaired sensitivity to thyroid hormones and carotid plaque in patients with coronary heart disease: A RCSCD-TCM study in China

Impaired sensitivity to thyroid hormones and carotid plaque in patients with coronary heart disease: A RCSCD-TCM study in China

Utilizing machine learning algorithms for the prediction of carotid artery plaques in a Chinese population

Analysis of differential expression of lipid metabolism genes in atherosclerotic plaques in patients with coronary atherosclerosis

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