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Evidence shows that tropomodulin 1 (TMOD1) is a powerful diagnostic marker in the progression of several cancer types. However, the regulatory mechanism of TMOD1 in tumor progression is still unclear. Here, we showed that TMOD1 was highly expressed in acute myeloid leukemia (AML) specimens, and TMOD1-silencing inhibited cell proliferation by inducing autophagy in AML THP-1 and MOLM-13 cells. Mechanistically, the C-terminal region of TMOD1 directly bound to KPNA2, and TMOD1-overexpression promoted KPNA2 ubiquitylation and reduced KPNA2 levels. In contrast, TMOD1-silencing increased KPNA2 levels and facilitated the nuclear transfer of KPNA2, then subsequently induced autophagy and inhibited cell proliferation by increasing the nucleocytoplasmic transport of p53 and AMPK activation. KPNA2/p53 inhibitors attenuated autophagy induced by silencing TMOD1 in AML cells. Silencing TMOD1 also inhibited tumor growth by elevating KPNA2-mediated autophagy in nude mice bearing MOLM-13 xenografts. Collectively, our data demonstrated that TMOD1 could be a novel therapeutic target for AML treatment.

Electrocardiographic (ECG) signals have been successfully used in biometric recognition. However, the accuracy of ECG-based biometric systems is generally lower than systems based on other physiological traits. This study introduces a local feature learning method aimed at enhancing the performance of ECG-based biometric recognition systems. Specifically, we first extracted the multi-scale differential feature (MDF) for each point in the training ECG heartbeats using the difference between each point and its neighboring points. Second, we learn feature mapping to project these MDFs into low-dimensional descriptors in an unsupervised manner, where 1) the errors between the original MDF and reconstructed MDF are minimized. 2) The total variation in the reconstructed MDFs is minimized. Third, we represented each ECG heartbeat as a histogram feature using clustering and pooling descriptors. Finally, we adopted global feature learning methods to obtain a representation of an ECG heartbeat. Experiments on the MIT-BIH Arrhythmia, ECG-ID, and Physikalisch Technische Bundesanstalt databases verified the performance of the proposed method over existing ECG biometric recognition methods using within-session analysis. Moreover, we evaluated the performance of the proposed method using an across-session analysis of the ECG-ID database.

This study aimed to explore the use of Ulva lactuca polysaccharide (ULP) as a preservative for perch (Lateolabrax maculatus) fillets stored under refrigeration at 4 °C. Fresh perch fillets were treated with ULP (7–10 kDa) and potassium sorbate, respectively, to evaluate their effectiveness in inhibiting bacterial growth and maintain freshness. A 0.5% ULP solution significantly decreased the pH value, total volatile basic nitrogen value, thiobarbituric acid value, and total bacterial count of perch fillets. ULP solution delayed the changes in whiteness and texture of fillets, as well as protein degradation. The acute toxicity experiment further evaluates the safety and reliability of ULP. Simultaneously, utilizing 16S rRNA techniques, the ULP solution inhibited microorganisms known for their strong spoilage capabilities, such as Pseudomonas, Actinetobacter, and Shewanella. Microorganisms with a weaker ability to cause corruption became the dominant bacteria, such as Acetobacter, Lactobacillus, and Faecalibacterium, thereby exerting a degree of inhibition against spoilage.

ObjectiveHypertension is the most challenging public health problem worldwide and seriously affects human health. To date, there are no epidemiological studies on the prevalence of and risk factors for hypertension among older people in mainland China.MethodsWe conducted a meta-analysis of the prevalence and risk factors of hypertension among the older population in mainland China. We searched Chinese and English databases for Chinese and English literature on hypertension epidemiology published between 2000 and 2022, and hypertension data among the older population were extracted from the included literature. A meta-analysis was performed using a random-effects model (I2 > 50%) with 95% confidence intervals for the forest plots. Data were processed using RevMan 5.3. Forty-nine publications (with data from 84,429 samples) met the evaluation criteria and were included in this study.ResultsWe found that the total prevalence of hypertension was 47%. The total prevalence rate of the older population in China from 2000 to 2010 was 50%, and the prevalence rate from 2011 to 2021 was 45%, with no significant differences. The total prevalence in Central China was the highest (59%). There was no significant correlation between the prevalence rate of the older population, sex, and urban or rural areas.ConclusionHypertension is common among the older population in China, and its control rate is low. Therefore, effective prevention and treatment measures, as well as education, should be formulated to improve the diagnosis and treatment of hypertension in the older population.

Endothelial protein C receptor (EPCR) is a receptor for the natural anti-coagulant activated protein C (aPC). It mediates the anti-inflammatory and barrier-protective functions of aPC through the cleavage of protease-activated receptor (PAR)1/2. Allergic contact dermatitis is a common skin disease characterized by inflammation and defective skin barrier. This study investigated the effect of EPCR and 3K3A-aPC on allergic contact dermatitis using a contact hypersensitivity (CHS) model. CHS was induced using 1-Fluoro-2,4-dinitrobenzene in EPCR-deficient (KO) and matched wild-type mice and mice treated with 3K3A-aPC, a mutant form of aPC with diminished anti-coagulant activity. Changes in clinical and histological features, cytokines, and immune cells were examined. EPCRKO mice displayed more severe CHS, with increased immune cell infiltration in the skin and higher levels of inflammatory cytokines and IgE than wild-type mice. EPCR, aPC, and PAR1/2 were expressed by the skin epidermis, with EPCR presenting almost exclusively in the basal layer. EPCRKO increased the epidermal expression of aPC and PAR1, whereas in CHS, their expression was reduced compared to wild-type mice. 3K3A-aPC reduced CHS severity in wild-type and EPCRKO mice by suppressing immune cell infiltration/activation and inflammatory cytokines. In summary, EPCRKO exacerbated CHS, whereas 3K3A-aPC could reduce the severity of CHS in both EPCRKO and wild-type mice.