The role of inflammation in heart failure with preserved ejection fraction / 生理学报

Heart failure with preserved ejection fraction (HFpEF) is a type of heart failure characterized by left ventricular diastolic dysfunction with preserved ejection fraction. With the aging of the population and the increasing prevalence of metabolic diseases, such as hypertension, obesity and diabetes, the prevalence of HFpEF is increasing. Compared with heart failure with reduced ejection fraction (HFrEF), conventional anti-heart failure drugs failed to reduce the mortality in HFpEF due to the complex pathophysiological mechanism and multiple comorbidities of HFpEF. It is known that the main changes of cardiac structure of in HFpEF are cardiac hypertrophy, myocardial fibrosis and left ventricular hypertrophy, and HFpEF is commonly associated with obesity, diabetes, hypertension, renal dysfunction and other diseases, but how these comorbidities cause structural and functional damage to the heart is not completely clear. Recent studies have shown that immune inflammatory response plays a vital role in the progression of HFpEF. This review focuses on the latest research progress in the role of inflammation in the process of HFpEF and the potential application of anti-inflammatory therapy in HFpEF, hoping to provide new research ideas and theoretical basis for the clinical prevention and treatment in HFpEF.

Noise attenuation analysis on auditory evoked potential based on maximum length sequence / 生物医学工程学杂志

The maximum length sequence (m-sequence) has been successfully used to study the linear/nonlinear components of auditory evoked potential (AEP) with rapid stimulation. However, more study is needed to evaluate the effect of the m-sequence order in terms of the noise attenuation performance. This study aimed to address this issue using response-free electroencephalogram (EEG) and EEGs with nonlinear AEPs. We examined the noise attenuation ratios to evaluate the noise variation for the calculations of superimposed averaging and cross-correlation, respectively, which constitutes the main process in the deconvolution method using the dataset of spontaneous EEGs to simulate the cases of different orders (order 5 to 12) of m-sequences. And an experiment using m-sequences of order 7 and 9 was performed in true cases with substantial linear and nonlinear AEPs. The results demonstrate that the noise attenuation ratio is well agreed with the theoretical value derived from the properties of m-sequences on the random noise condition. The comparison of waveforms for AEP components from two m-sequences showed high similarity suggesting the insensitivity of AEP to the m-sequence order. This study provides a more comprehensive solution to the selection of m-sequences which will facilitate the feasible application on the nonlinear AEP with m-sequence method.