The effect of aperiodic components in distinguishing Alzheimer's disease from frontotemporal dementia.

Distinguishing between Alzheimer's disease (AD) and frontotemporal dementia (FTD) presents a clinical challenge. Inexpensive and accessible techniques such as electroencephalography (EEG) are increasingly being used to address this challenge. In particular, the potential relevance between aperiodic components of EEG activity and these disorders has gained interest as our understanding evolves. This study aims to determine the differences in aperiodic activity between AD and FTD and evaluate its potential for distinguishing between the two disorders. A total of 88 participants, including 36 patients with AD, 23 patients with FTD, and 29 healthy controls (CN) underwent cognitive assessment and scalp EEG acquisition. Neuronal power spectra were parameterized to decompose the EEG spectrum, enabling comparison of group differences in different components. A support vector machine was employed to assess the impact of aperiodic parameters on the differential diagnosis. Compared with the CN group, both the AD and FTD groups showed varying degrees of increased alpha power (both periodic and raw power) and theta alpha power ratio. At the channel level, theta power (both periodic and raw power) in the frontal regions was higher in the AD group compared to the FTD group, and aperiodic parameters (both exponents and offsets) in the frontal, temporal, central, and parietal regions were higher in the AD group than in the FTD group. Importantly, the inclusion of aperiodic parameters led to improved performance in distinguishing between the two disorders. These findings highlight the significance of aperiodic components in discriminating dementia-related diseases.

Self-detection remains a primary means of breast cancer detection in Beijing, China.

Background: Breast cancer in China is usually identified at a later-stage compared to developed countries, and efforts have been made to improve early detection over the past years. This cross-sectional study aimed to determine the current situation of breast cancer detection and screening in a cohort of Chinese breast cancer patients. Methods: Three hundred and ten consecutive female breast cancer patients newly diagnosed and treated in Beijing Tsinghua Changgung Hospital between 2015 and 2021 were recruited. Clinicopathological data were retrieved from the patient's medical records and every individual completed surveys assessing demographics, mode of detection, screening behavior and barriers to screening. Results: Among the 310 patients, 72.6% had self-detected diseases (mostly through identification of a breast lump), 24.5% were ultrasound screening-detected, 0.3% were mammographic screening-detected and others were identified through clinical breast examination (CBE) (1.0%) or chest computed tomography (CT)/magnetic resonance imaging (MRI) (1.6%). Detection by screening was associated with earlier stages of breast cancer compared to self-detection, yet, 32.2% of self-detected diseases were at stage 0-I. A total of 166 (53.5%) patients had a screening history, with ultrasonography being mostly used and provided by employers. Leading self-perceived barrier to breast cancer screening was lack of awareness, followed by lack of access. And screening participation was associated with a younger age, higher education, being currently working, residence in urban area, and a high family income. Conclusions: Self-detection still remains a major way of breast cancer detection in Beijing, but it is not necessarily associated with a late-stage disease. The suboptimal screening rate with disparity in screening behavior can be mostly attributed to lack of awareness of the public and insufficient screening providers.

Biochemical characterization and overexpression of an α-amylase (BmAmy) in silkworm, Bombyx mori.

Silkworm (Bombyx mori) is the only fully domesticated insect. As an economically important insect, nutrition utilization is important for its productivity. Hence, the present study investigated the expression pattern of BmAmy, an α-amylase, in B. mori. BmAmy protein purification and biochemical characterization were performed, and effects of BmAmy overexpression were assessed. Real-time quantitative reverse transcription polymerase chain reaction indicated that BmAmy transcription was positively correlated with the silkworm's food intate. Moreover, enzymatic activity assay results showed that BmAmy had significant α-amylase activity of about 1 mg/min/mg protein. Furthermore, treatment with mulberry amylase inhibitors MnAI1 and MnAI2 resulted to 89.92% and 93.67% inhibition in BmAmy activity, respectively, and the interaction between BmAmy and MnAI was also confirmed by protein docking analysis. A silkworm line that specifically overexpressed BmAmy in the midgut was generated through piggyBac-based transgenic technology, and compared to those of non-transgenic silkworms, the whole cocoon and cocoon shell weights of these transgenic silkworms increased by 10.13% and 18.32%, respectively, in the female group, and by 5.83% and 6.00%, respectively, in the male group. These results suggested that BmAmy may be a suitable target for breeding better silkworm varieties in the future.

Identification of key biomarkers for thyroid cancer by integrative gene expression profiles.

Thyroid cancer is a frequently diagnosed malignancy and the incidence has been increased rapidly in recent years. Despite the favorable prognosis of most thyroid cancer patients, advanced patients with metastasis and recurrence still have poor prognosis. Therefore, the molecular mechanisms of progression and targeted biomarkers were investigated for developing effective targets for treating thyroid cancer. Eight chip datasets from the gene expression omnibus database were selected and the inSilicoDb and inSilicoMerging R/Bioconductor packages were used to integrate and normalize them across platforms. After merging the eight gene expression omnibus datasets, we obtained one dataset that contained the expression profiles of 319 samples (188 tumor samples plus 131 normal thyroid tissue samples). After screening, we identified 594 significantly differentially expressed genes (277 up-regulated genes plus 317 down-regulated genes) between the tumor and normal tissue samples. The differentially expressed genes exhibited enrichment in multiple signaling pathways, such as p53 signaling. By building a protein-protein interaction network and module analysis, we confirmed seven hub genes, and they were all differentially expressed at all the clinical stages of thyroid cancer. A diagnostic seven-gene signature was established using a logistic regression model with the area under the receiver operating characteristic curve (AUC) of 0.967. Seven robust candidate biomarkers predictive of thyroid cancer were identified, and the obtained seven-gene signature may serve as a useful marker for thyroid cancer diagnosis and prognosis.

A Futile Redox Cycle Involving Neuroglobin Observed at Physiological Temperature.

Previous studies identifying the potential anti-apoptotic role of neuroglobin raise the question as to how cells might employ neuroglobin to avoid the apoptotic impact of acute hypoxia whilst also avoiding chronic enhancement of tumour formation. We show that under likely physiological conditions neuroglobin can take part in a futile redox cycle. Determination of the rate constants for each of the steps in the cycle allows us to mathematically model the steady state concentration of the active anti-apoptotic ferrous form of neuroglobin under various conditions. Under likely normal physiological conditions neuroglobin is shown to be present in the ferrous state at approximately 30% of its total cellular concentration. Under hypoxic conditions this rapidly rises to approximately 80%. Temporal analysis of this model indicates that the transition from low concentrations to high concentration of ferrous neuroglobin occurs on the seconds time scale. These findings indicate a potential control model for the anti-apoptotic activity of neuroglobin, under likely physiological conditions, whereby, in normoxic conditions, the anti-apoptotic activity of neuroglobin is maintained at a low level, whilst immediately a transition occurs to a hypoxic situation, as might arise during stroke, the anti-apoptotic activity is drastically increased. In this way the cell avoids unwanted increased oncogenic potential under normal conditions, but the rapid activation of neuroglobin provides anti-apoptotic protection in times of acute hypoxia.