ObjectiveTo study the differential expression of minichromosome maintenance protein (MCM) gene family in hepatocellular carcinoma (HCC) and to explore its survival predictive value.MethodsTranscriptome data, clinical data, and survival information of patients with HCC were extracted from The Cancer Genome Atlas (TCGA), and the differential expression of MCM gene was analyzed. The prognostic value of differentially expressed of MCM gene was studied by Cox proportional hazards regression model, the prognostic model and risk score system were constructed. On the basis of risk score, a number of indicators were included to construct a nomogram to predict the3- and 5-year survival probability of HCC patients, and to verify and evaluate their predictive ability and accuracy.ResultsThe expressions of MCM2, MCM3, MCM4, MCM5, MCM6, MCM7, MCM8, and MCM10 in HCC tissues were higher than those of normal liver tissues (P<0.05), and univariate analysis showed that they were all related to prognosis (P<0.05). Multivariate analysis showed that MCM6 and MCM10 were independent factors affecting survival of HCC patients (P<0.05). Through multivariate analysis, a prognostic model consisting of MCM6, MCM8, and MCM10 was constructed, and a risk scoring system was established. It had been verified that this risk score was an independent risk factor affecting the prognosis of patients with HCC, and the prognosis of patients with high scores were worse than those of patients with low scores (P<0.001). We used TNM stage, T stage, and risk score to construct a nomogram with a consistency index (C index) of 0.723 and draw a time-dependent receiver operating characteristic curve, the results showed that area under the curve of 3- and 5-year were 0.731 and 0.704, respectively.ConclusionsMCM6,MCM8, and MCM10 in the MCM gene family have important prognostic value in HCC. The nomogram constructed in this study can better predict the survival probability of HCC patients.
Circadian rhythm is a physiological regulation mechanism evolved by the body to adapt to the 24-hour fluctuations in the internal and external environment. It plays an important role in many physiological and pathological processes including the immune system. Neutrophils are the most important immune cells in the human circulation, and their numbers and phenotypes also show obvious circadian fluctuations. A growing number of studies have shown that the cellular and molecular mechanisms of neutrophil circadian rhythms are disease-related. Combining the latest research on neutrophil circadian rhythm, this article briefly introduces the recruitment of neutrophils in the bone marrow, the aging of neutrophils and their infiltration into various tissues of the body, and discusses the interventions. It also discusses the therapeutic prospects based on neutrophil circadian rhythm-related mechanisms from the perspectives of intervening neutrophil aging-related chemokines and chronotherapy.
Obesity, sleep disorders, psychological stress, sedentary are modifiable cardiovascular risk factors. There is growing evidence that these risk factors may accelerate the chronic inflammatory process of atherosclerosis and lead to myocardial infarction. Studies on the role of immune cells and their related immune mechanisms in atherosclerosis have shown that the above modifiable risk factors can affect the hematopoiesis of the bone marrow system, affect the production of immune cells and phenotypes, and then affect the progress of atherosclerosis. This review will focus on the effects of modifiable cardiovascular risk factors on the progression of atherosclerosis through the role of the innate immune system.
ObjectiveTo systematically review the detection rate of sub-health status of Chinese college students. MethodsThe CNKI, WanFang Data, CBM, VIP, PubMed, EMbase and Web of Science databases were searched to collect cross-sectional studies on the detection rate of sub-health among Chinese college students from inception to February 1, 2023. Two researchers independently screened the literature, extracted data and evaluated the risk of bias of the included studies. Meta-analysis was performed using Stata 17.0 software. At the same time, GIS technology was used to analyze the spatial distribution of the detection rate of sub-health status of college students in China. ResultsA total of 44 articles were included, with a total sample size of 63 435 cases, including 29 255 cases of sub-health status. The results of meta-analysis showed that the detection rate of sub-health status of Chinese college students was 51.2% (95%CI 44.1 to 58.4). The temporal distribution showed a gradual decrease in the detection rate of sub-health states among college students between 2016 and 2020, with a rebound after 2020. The detection rates of sub-health states among college students in different regions and survey instruments varied significantly, with 74.1%, 61.8%, 58.4%, 56.1%, 47.0%, 42.3% and 21.6% in Southwest, Northeast, South, North, Central, East and Northwest China, respectively. The detection rates of sub-health states among college students in Jilin, Sichuan and Hebei provinces were the top 3, and Shanxi province had the lowest detection rate. ConclusionThe detection rate of university sub-health status in China is high, and the detection rate decreased significantly from 2016 to 2020, with a rebound trend in recent years, and there are differences in the detection rate of university sub-health status in different regions and survey instruments. Due to the limitation of the quality and quantity of the included studies, the above findings need to be verified by more high-quality literature.
ObjectiveTo explore the predictive value of a simple prediction model for patients with acute myocardial infarction.MethodsClinical data of 280 patients with acute ST-segment elevation myocardial infarction (STEMI) in the Department of Emergence Medicine, West China Hospital of Sichuan University from January 2019 to January 2020 were retrospectively analyzed. The patients were divided into a death group (n=34) and a survival group (n=246).ResultsAge, heart rate, body mass index (BMI), global registry of acute coronary events (GRACE), thrombolysis in myocardial infarction trial (TIMI) score, blood urea nitrogen, serum cystatin C and D-dimer in the survival group were less or lower than those in the death group (P<0.05). Left ventricle ejection fraction and the level of albumin, triglyceride, total cholesterol and low density lipoprotein cholesterol were higher and the incidence of Killip class≥Ⅲ was lower in the survival group compared to the death group (P<0.05). Multivariate logistic regression analysis showed that age, BMI, heart rate, diastolic blood pressure, and systolic blood pressure were independent risk factors for all-cause death in STEMI patients. Receiver operating characteristic (ROC) curve analysis showed that the area under the curve of simple prediction model for predicting death was 0.802, and similar to that of GRACE (0.816). The H-L test showed that the simple model had high accuracy in predicting death (χ2=3.77, P=0.877). Pearson correlation analysis showed that the simple prediction model was significantly correlated with the GRACE (r=0.651, P<0.001) and coronary artery stenosis score (r=0.210, P=0.001).ConclusionThe simple prediction model may be used to predict the hospitalization and long-term outcomes of STEMI patients, which is helpful to stratify high risk patients and to guide treatment.
Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the "Artificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association" aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.
The management of middle-aged and youth hypertension has become a challenge in clinical practice. The hypertension group of the Chinese Society of Cardiology published the expert consensus on the management of hypertension in young and middle-aged Chinese population in 2019. This paper interprets the key contents of the consensus and provides references for management of young and middle-aged hypertension.
The American Heart Association and other six major associations jointly released AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain for the first report on October 28th, 2021. This guideline stresses the risk stratification and the diagnostic workup of acute chest pain, considers the cost-effectiveness of low-risk chest pain diagnosis and examination, and recommends sharing decisions with patients. This guideline mainly involves the initial evaluation of chest pain, choosing the right pathway with patient-centric algorithms for acute chest pain, and the evaluation of patients with stable chest pain. This review makes a detailed interpretation of the recommended points of the guideline through reviewing the literature.
The World Health Organization (WHO) released the WHO 2020 guidelines on physical activity and sedentary behaviour in November 2020. Compared with the 2010 WHO guidelines, this guideline has incorporated more extensive medical evidence and made targeted recommendations for special populations. The main content includes physical activity and sedentary behaviour advice for children and adolescents, adults, older adults, pregnant and postpartum women, people with chronic conditions, and disability. This review will interpret the 2020 WHO guidelines in detail.
ObjectiveTo analyze prognostic ability of inflammation-based Glasgow prognostic score (GPS) in patients with ST-segment elevation myocardial infarction (STEMI).MethodsWe retrospectively analyzed the clinical data of 289 patients with STEMI admitted to the Department of Emergency in West China Hospital from April 2015 to January 2016. All study subjects were divided into three groups: a group of GPS 0 (190 patients including 150 males and 40 females aged 62.63±12.98 years), a group of GPS 1 (78 patients including 58 males and 20 females aged 66.57±15.25 years), and a group of GPS 2 (21 patients including 16 males and 5 females aged 70.95±9.58 years). Cox regression analysis was conducted to analyze the independent risk factors of predicting long-term mortality of patients with STEMI.ResultsThere was a statistical difference in long-term mortality (9.5% vs. 23.1% vs. 61.9%, P<0.001) and in-hospital mortality (3.7% vs. 7.7% vs. 23.8%, P<0.001) among the three groups. The Global Registry of Acute Coronary Events (GRACE) scores and Gensini scores increased in patients with higher GPS scores, and the differences were statistically different (P<0.001). Multivariable Cox regression analysis showed that the GPS was independently associated with STEMI long-term all-cause mortality (1 vs. 0, HR: 2.212, P=0.037; 2 vs. 0, HR: 8.286, P<0.001).ConclusionGPS score is helpful in predicting the long-term and in-hospital prognosis of STEMI patients, and thus may guide clinical precise intervention by early risk stratification.