Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

Child ; Humans ; Mpox (monkeypox)/prevention & control* ; Disease Outbreaks

Objective At present, the grading evaluation of patients with disorders of consciousness (DOC) is still a focus and difficulty in related fields. Electroencephalogram (EEG) can directly read and continuously reflect scalp electrical activity generated by brain tissue structure, with high temporal resolution. Auditory stimulation is easy to operate and has broad application prospects in clinical detection of DOC. The causal network can intuitively reflect the direction of information transmission through the causal relationship between time series, helping us better understand the information interaction between different regions of the brain of patients. This paper combines EEG and causal networks to explore the differences in brain functional connectivity between patients with unresponsive arousal syndrome (VS) and those with minimum state of consciousness (MCS) under auditory stimulation. MethodsA total of 23 DOC patients were included, including 11 MCS patients and 12 VS patients. Based on the Oddball paradigm, auditory naming stimulation was performed on DOC patients and EEG signals of DOC patients were synchronously collected. The brain functional networks were constructed using multivariate Granger causality method, and the differences in node degree, clustering coefficient, global efficiency, and causal flow of the brain networks between MCS patients and VS patients were calculated. The differences in network characteristics of patients with different levels of consciousness under auditory stimulation were compared from the perspective of cooperation between brain regions. ResultsThe causal connectivity between most brain regions in MCS patients was stronger than that in VS patients, and MCS patients had more brain network connectivity edges than VS patients. The average degree (P<0.05), average clustering coefficient, and global efficiency (P<0.05) of MCS patients under naming stimulation were higher than those of VS patients. The difference in out-degree between each node of VS patients was larger, and the difference in in-degree between each node of MCS patients was smaller. The difference in in-degree of MCS patients was more significant than that of VS patients, and the inflow and outflow of information in the brain functional network of MCS patients were stronger than those of VS patients. MCS and VS patients had differences of causal flow in the frontal and temporal lobes, the direction of information transmission in the parietal lobe and central region was not the same, and MCS patients had more electrodes as causal sources than VS patients. ConclusionThe information transmission ability of MCS patients is stronger than that of VS patients under auditory naming stimulation. Compared with VS patients, MCS patients have an increase in the number of electrode channels as the causal source, an increase in information output to other brain regions, and also an increase in the information output within brain regions, which may indicate a better state of consciousness in patients. MCS patients have more electrode channels for information output in the frontal lobe than VS patients, and the number of electrode channels for changing the direction of information transmission in the frontal lobe is the highest. The frontal lobe is closely related to the level of consciousness in patients with consciousness disorders. This study can provide a theoretical basis for the grading evaluation of consciousness levels in DOC patients.

The author analyzed the characteristics of phase Ⅰ clinical trials of macromolecular drugs,the characteristics of evaluation indicators of phase Ⅰ clinical trials of macromolecular drugs,such as safety evaluation,pharmacokinetic and pharmacodynamic evaluation,and efficacy evaluation.And the control points of subjects management,management of experimental macromolecule drugs,and identified and potential risk factors of macromolecule drugs in the implementation of risk management for phase Ⅰ clinical trials of macromolecule drugs were discussed in depth based on previous clinical trial research experience.Through discussion and analysis,the author suggests that each research center can formulate risk control strategies according to the actual situation,improve the efficiency of risk control,and facilitate the smooth implementation of clinical trials and improve the quality of clinical trials.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Objective:To explore if miR-133a is involved in the occurrence and development of hepatocellular carcinoma(HCC)via regulating G6PD.Methods:Bioinformatics analysis predicted the binding sites of miR-133a and G6PD;RT-PCR or western blot was used to assess the expres-sion of miR-133a and G6PD in HCC tissues and the adjacent normal tissues;CCK-8 and flow cy-tometry assays were performed to evaluate the effects of miR-133a/G6PD on cell proliferation,apop-tosis;Fluorescent reporter gene and western blot assays were used to assess the effect of miR-133a on G6PD expression.Results:miR-133a expression was decreased in HCC tissues while G6PD was increased(P0.01);Up-regulation of miR-133a significantly reduced G6PD expression(P＜0.01);up-reg-ulation of miR-133a inhibited cell growth and promoted cell apoptosis(P＜0.05),whereas these effects induced by miR-133a over-expression were all abolished when G6PD was up-regulated(P＜0.01).Conclusion:miR-133a represses the occurrence and development of HCC via targeting G6PD.

Background Intraseasonal variation in acute health effects of extreme heat remains insufficiently investigated. Emergency ambulance calls (EACs) may offer timely insights into the population's health during such extreme heat events. Objective To analyze intraseasonal variation in the association between extreme heat and hourly EACs during summer in Dezhou City, Shandong Province, China. Methods We collected data on all-cause hourly EACs in Dezhou City from 2021 to 2022 and assigned hourly temperature and humidity data (with a spatial resolution of 0.0625° × 0.0625°) to call addresses. Summer in this study was defined as from June to September each year, with June to July considered as early summer and August to September as late summer. Extreme heat was defined as the 99th percentile of the temperature range during the summer. We employed a time-stratified case-crossover design using conditional logistic regression integrating distributed-lag nonlinear models to compare the association between extreme heat and the risk of hourly EACs in both early and late summer periods. Results A total of 80389 EACs were recorded in Dezhou City during the study period. The analysis revealed a U-shaped association between hourly ambient temperature and EACs during summer, with the most significant effect observed at lag 0-30 h. Using the optimal temperature of 20.0°C as a reference, the cumulative odds ratio (OR) (lag 0-120 h) for extreme heat was 1.55 (95%CI: 1.40, 1.71) throughout summer. The cumulative effect of extreme heat was higher in late summer (OR=2.38, 95%CI: 1.91, 2.97) than in early summer (OR=1.37, 95%CI: 1.22, 1.54) (P<0.0001). Additionally, individuals aged 60 years and above had a higher risk throughout summer (OR=1.98, 95%CI: 1.70, 2.30) compared to those under 60 years (OR=1.23, 95%CI: 1.06, 1.42) (P<0.0001). Conclusion Intraseasonal variation is observed in the strength of association between extreme heat and hourly EACs during summer in Dezhou City. The higher risk observed in late summer than in early summer indicates that repeated exposures to heat may escalate health risks, and older adults are more vulnerable.

Trace elements (TEs), also known as micronutrients in biology, are trace components required by the human body, accounting for 0.005% to 0.01% of body weight. Although TEs are present in small quantities in the human body, they play significant roles in cellular metabolism, enzyme activity regulation, immune function, nerve conduction, and bone health. In this review, the effects of TEs (zinc, iron, magnesium, selenium, copper, chromium, and manganese) for modulating biological functions on organisms are comprehensively analyzed and summarized. The mechanisms of various TEs in immune system, enzymatic reaction, oxidative stress, physical growth, and blood glucose regulation are deeply discussed, emphasizing the indispensable role of TEs in maintaining normal physiological functions of body. In addition, the future research directions of TEs are also prospected, including the mechanism of action, intake, metabolism, and storage of TEs at the cellular level. This review will provide useful information to further understand the biological effects and the application of TEs.

Objective:To explore the drugs and clinical characteristics causing drug-induced liver injury (DILI) in recent years, as well as identify drug-induced liver failure, and chronic DILI risk factors, in order to better manage them timely.Methods:A retrospective investigation and analysis was conducted on 224 cases diagnosed with DILI and followed up for at least six months between January 2018 and December 2020. Univariate and multivariate logistic regression analyses were used to identify risk factors for drug-induced liver failure and chronic DILI.Results:Traditional Chinese medicine (accounting for 62.5%), herbal medicine (accounting for 84.3% of traditional Chinese medicine), and some Chinese patent medicines were the main causes of DILI found in this study. Severe and chronic DILI was associated with cholestatic type. Preexisting gallbladder disease, initial total bilirubin, initial prothrombin time, and initial antinuclear antibody titer were independent risk factors for DILI. Prolonged time interval between alkaline phosphatase (ALP) and alanine aminotransferase (ALT) falling from the peak to half of the peak (T 0.5ALP and T 0.5ALT) was an independent risk factor for chronic DILI [area under the receiver operating characteristic curve (AUC)?=?0.787, 95%CI: 0.697~0.878, P ?

Objective To explore the value of serum microRNAs-145(miR-145)and P53 antibody detection in the evaluation of therapeutic effect and prognosis in the treatment of breast cancer with Long Bei Xiaoyao Powder.Methods Ninety cases of breast cancer patients admitted to Beijing Aerospace General Hospital from January 2020 to January 2021 were selected as the study subjects.The patients were randomly divided into an observation group and a control group by random number table method,with 45 cases in each group.All of the patients in the two groups received individualized comprehensive treatment,and additionally the observation group was treated with Long Bei Xiaoyao Powder.The course of treatment covered three months.Real-time fluorescence quantitative polymerase chain reaction(PCR)method was used to detect serum miR-145 expression level,and enzyme-linked immunosorbent assay(ELISA)was used to detect serum P53 antibody expression level.The differences in the pre-and post-treatment expression levels of serum miR-145 and P53 antibodies in the two groups were compared,the relationship between the serum miR-145 and P53 antibody expression level and the poor prognosis of the patients in the observation group was explored by logistic regression analysis,and receiver operating characteristic curve(ROC)was drawn to analyze the value of the serum miR-145 and P53 antibody detection in the prediction of poor prognosis in the observation group.Results(1)After treatment,the detection value of serum miR-145 in the two groups of patients showed an increasing trend(P＜0.05),while that of the P53 antibody showed a decreasing trend(P＜0.05).The intergroup comparison showed that the detection value of serum miR-145 in the observation group was significantly higher than that of the control group,while the detection value of P53 antibody was significantly lower than that of the control group,the differences being all statistically significant(P＜0.05).(2)In the observation group,the detection value of serum miR-145 in the patients with good prognosis was significantly higher than that in the patients with poor prognosis,and the detection value of serum P53 antibody in the patients with good prognosis was significantly lower than that in the patients with poor prognosis,the differences being all statistically significant(P＜0.05).(3)Logistic regression analysis showed that high expression of miR-145 was a protective factor for the patients with poor prognosis in the observation group,and high expression of P53 antibody was a risk factor for the patients with poor prognosis in the observation group(P＜0.05).(4)The area under the ROC curve(AUC)for the prediction of prognosis of the patients in the observation group by the combination of serum miR-145 and P53 antibody was the largest(0.877,95%CI:0.769-0.985),and its sensitivity and specificity were 93.75%and 93.10%,respectively,with statistically significant differences(P＜0.05).Conclusion Low expression of serum miR-145 and high expression of serum P53 antibody are presented in the breast cancer patients with poor prognosis,and Long Bei Xiaoyao Powder exerts satisfactory therapeutic effect in treating breast cancer,which is conducive to enhancing the expression level of serum miR-145 and reducing the expression level of serum P53 antibody.