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.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

It has become an industry consensus that self-assembled nanoparticles (SAN) are formed by molecular recognition of chemical components in traditional Chinese medicine during the decoction process. The insoluble components in the decoction are mostly in the form of nanoparticles, which can improve the problem of poor water solubility. However, the transfer rate of these insoluble components in the decoction is still very low, which limits the efficacy of the drug. This study aimed to refine the traditional decoction self-assembly phenomenon. The self-assembled nanoparticles were constructed by micro-precipitation method (MP-SAN), and characterized by particle size, zeta potential, stability index and morphology. The formation of MP-SAN and alterations in related physicochemical properties were evaluated using modern spectroscopic and thermal analysis techniques. The quality value transmitting pattern of lignan components within the MP-SAN was assessed via high performance liquid chromatography (HPLC). The MP-SAN showed sphere-like structure with uniform morphology, particle size of (245.3 ± 3.2) nm, polydispersity index (PDI) of (0.13 ± 0.03), zeta potential of (-48.9 ± 5.9) mV and stability index (SI) of (86.05% ± 2.27%). Comprehensive analyses using ultraviolet visible spectroscopy, Fourier transform infrared spectroscopy, differential scanning calorimetry, and other techniques confirmed molecular recognition between the decoction and ethanol extraction, leading to electron rearrangement under the influence of non-covalent bonding. This resulted in the formation of nanoparticles possessing superior thermal stability. As determined by HPLC, the encapsulation rates of the index components in the MP-SAN were all greater than 75% (dehydrodiconiferyl alcohol: 77.00%; herpetolide A: 78.57%; herpetrione: 94.53%), and the transfer rates were all higher than 65% (dehydrodiconiferyl alcohol: 96.01%; herpetolide A: 67.86%; herpetrione: 65.55%), which were 1.34, 1.38 and 4.81 times compared with those of the traditional decoction. In summary, this study successfully constructed the MP-SAN based on micro-precipitation method to achieve high transfer rate and high encapsulation rate of insoluble components in docoction, which provides a pharmaceutics idea for the efficient utilization of pharmacodynamic substance basis of traditional Chinese medicine.

Objective To investigate the clinical value of Yishen Gujing Kangyan Prescription(with the actions of benefiting the kidneys,consolidating essence and anti-inflammatory,mainly composed of Imperatae Rhizoma,Codonopsis Radix,Corni Fructus,Moutan Cortex,Lycii Fructus,Cuscutae Semen,Dioscoreae Rhizoma,honey-roasted Astragali Radix,Poria,Rehmanniae Radix Praeparata,etc.)in the treatment of lupus nephritis(LN)of qi and yin deficiency type.Methods A total of 116 patients with LN of qi and yin deficiency type were randomly divided into observation group and control group,58 cases in each group.The control group was given conventional western medicine treatment,and the observation group was treated with the combination of Yishen Gujing Kangyan Prescription on the basis of treatment for the control group.Both groups were treated for a period of 6 months.The changes of traditional Chinese medicine(TCM)syndrome scores,renal function parameters,immune function indicators,serum interleukin 18(IL-18),homocysteine(Hcy),transforming growth factor β1(TGF-β1),cystatin C(Cys C)levels in the two groups were observed before and after the treatment.After treatment,the clinical efficacy and the negative-conversion of anti-double-stranded DNA(ds-DNA)antibody were compared between the two groups.Results(1)After 6 months of treatment,the total effective rate of the observation group was 94.83%(55/58),and that of the control group was 75.86%(44/58).The intergroup comparison showed that the therapeutic effect of the observation group was significantly superior to that of the control group(χ2 = 5.453,P＜0.05).(2)After treatment,the scores of primary symptoms(edema,fatigue)and secondary symptoms(lumbar and knee soreness,loose stools)in the two groups were lower than those before treatment(P＜0.05),and the effect on lowering the scores in the observation group was significantly superior to that in the control group(P＜0.01).(3)After treatment,the levels of renal function parameters of blood urea nitrogen(BUN),serum creatinine(Scr),and 24-hour urine protein quantification of the two groups were all lower than those before treatment(P＜0.05),and the effect on lowering renal function parameters in the observation group was significantly superior to that in the control group(P＜0.01).(4)After treatment,serum IL-18,TGF-β1,Hcy and Cys C levels of the two groups of patients were all reduced compared with those before treatment(P＜0.05),and the effect on lowering the levels of inflammatory factors and fibrosis parameters in the observation group was significantly superior to that in the control group(P＜0.01).(5)After treatment,the levels of immune function indicators of T cell subsets CD4+,CD4+/CD8+ and complement C3 in the two groups were increased compared with those before treatment(P＜0.05),and the increase in the observation group was significantly superior to that in the control group,and the differences were all statistically significant(P＜0.05 or P＜0.01).(6)The negative-conversion rate of anti-ds-DNA antibody in the observation group was 77.59%(45/58),which was significantly higher than that in the control group(55.17%,32/58),and the difference was statistically significant between the two groups(P＜0.05).Conclusion For the treatment of patients with LN of qi and yin deficiency type,Yishen Gujing Kangyan Prescription exerts synergistic effect on reducing inflammatory response,regulating immune function,promoting the recovery of renal function,and enhancing clinical efficacy.

Objective To investigate the efficacy of Dingxuan Decoction combined with vestibular function rehabilitation training in the treatment of Meniere's disease and to observe its effect on clinical symptoms and blood flow of vertebral artery.Methods A total of 100 patients with Meniere's disease of liver-kidney yin deficiency complicated with wind-water upward stirring type were randomly divided into an observation group and a control group,with 50 patients in each group.The control group was given conventional treatment and vestibular function rehabilitation training,and the observation group was treated with Dingxuan Decoction on the basis of treatment for the control group.The two groups were treated for 4 weeks and then were followed up for 6 months.The changes of traditional Chinese medicine(TCM)syndrome score,Dizziness Handicap Inventory(DHI)score,Tinnitus Handicap Inventory(THI)score,hearing visual analogue scale(VAS)score and vertebral artery blood flow in the two groups were observed before and after the treatment.After treatment,the TCM syndrome efficacy,hearing improvement and follow-up results were compared between the two groups.Results(1)After 4 weeks of treatment,the total effective rate for TCM syndrome efficacy of the observation group was 86.00%(43/50),and that of the control group was 62.00%(31/50),and the intergroup comparison showed that the TCM syndrome efficacy in the observation group was significantly superior to that in the control group(P＜0.01).(2)After 4 weeks of treatment,the hearing of patients in both groups was improved,and the total effective rate for the efficacy of hearing improvement in the observation group was 76.00%(38/50),while that in the control group was 46.00%(23/50).The intergroup comparison showed that the efficacy of hearing improvement in the observation group was significantly superior to that in the control group(P＜0.01).(3)After treatment,the TCM syndrome scores,DHI score,THI score and hearing VAS scores in the two groups were all decreased compared with those before treatment(P＜0.05 or P＜0.01),and the decrease in the observation group was significantly superior to that in the control group(P＜0.01).(4)After treatment,the average blood flow velocity of the left vertebral artery(LVA)and the right vertebral artery(RVA)in the two groups were both increased compared with those before treatment(P＜0.05),and the increase in the observation group was significantly superior to that in the control group(P＜0.05 or P＜0.01).(5)The results of 6-month follow-up after treatment showed that the incidence of Meniere's disease and the frequency of attack in the observation group were significantly reduced compared with those in the control group,and the episode duration in the observation group was significantly shorter than that in the control group,the differences being all statistically significant(P＜0.05 or P＜0.01).Conclusion Dingxuan Decoction combined with vestibular function rehabilitation training exert certain effect in treating patients with Meniere's disease of liver-kidney yin deficiency complicated with wind-water upward stirring type,and the therapy is effective on improving patients'clinical symptoms and vertebral artery blood flow,reducing the risk of recurrence and improving the quality of life of the patients.

Objective To evaluate the value of high-throughput sequencing(HTS)data reanalysis that does not include ERBB2 copy number variation(CNV)analysis,in identifying ERBB2 amplification in patients with colorectal cancer.Methods The HTS data of 252 cases of colorectal cancer diagnosed by pathological biopsy who received peripheral blood cfDNA HTS detection samples were retrospectively analyzed.According to the HTS data of ERBB2 non-amplified samples judged by immunohistochemistry(IHC)and/or fluorescence in situ hybridization(FISH),the number of chromosome 17(Chr17)reads in the total number of reads was calculated the range of the ratio was initially determined as the threshold for prompting ERBB2 amplification.Suspected positive samples were screened according to thresholds and verified by digital PCR,IHC and FISH.Results The proportion of the number of Chr17 reads accounts for the number of total reads in the 89 cases of ERBB2 non-amplified samples determined by IHC and/or FISH ranged from 0.188 to 0.299(0.239±0.192).Using 0.298(1.25 times the mean)as the threshold indicating ERBB2 amplification,the data of 163 samples were analyzed,of which 7 cases were suspected to be positive,and the ratio ranged from 0.302 to 0.853.Among them,5 cases were determined to be positive by IHC and/or FISH,and 6 cases were confirmed to be positive by digital PCR.The ratio of the number of Chr17 reads to the number of total reads was positively correlated with the ratio of ERBB2/EIF2C1,and the correlation was good(r2=0.909).Conclusion The high-throughput sequencing data that does not cover the ERBB2 CNV analysis has a certain hint value for ERBB2 amplification in patients with colorectal cancer.

The working principle and development of flexible semiconductor devices based on organic field effect transistor(OFET)technology were introduced.The current research status of OFET-based wearable flexible monitoring devices were reviewed,including biomechanical monitoring devices,tattoo biomonitoring devices and cellular detection devices and etc.The deficiencies of OFET-based wearable flexible monitoring devices were analyzed,and it's pointed out that miniaturization,personalization and diversification were the directions for the development of the future OFET-based wearable flexible moni-toring devices.[Chinese Medical Equipment Journal,2024,45(1):93-100]

Objective To explore the efficacy and safety of ticagrelor de-escalation and nicorandil therapy in elderly patients with acute coronary syndrome(ACS)after percutaneous coronary intervention(PCI).Methods A total of 300 elderly patients with ACS were selected from the Sixth and Seventh Medical Center of Chinese PLA General Hospital and Beijing Chaoyang Integrative Medicine Emergency Rescue and First Aid Hospital from November 2016 to June 2019,including 153 males and 147 females,aged>65 years old.All the patients received PCI,and all had double antiplatelet therapy(DAPT)scores≥2 and a new DAPT(PRECISE-DAPT)score of≥25.All patients were divided into two groups by random number table method before operation:ticagrelor group(n=146,ticagrelor 180 mg load dose followed by PCI,and ticagrelor 90 mg bid after surgery)and ticagrelor de-escalation + nicorandil group(n=154,ticagrelor 180 mg load dose followed by PCI,ticagrelor 90 mg bid+nicorandil 5 mg tid after surgery,changed to ticagrelor 60 mg bid+ nicorandil 5 mg tid 6 months later).Follow-up was 12 months.The composite end points of cardiovascular death,myocardial infarction and stroke,the composite end points of mild hemorrhage,minor hemorrhage,other major hemorrhage and major fatal/life-threatening hemorrhage as defined by the PLATO study,and the composite end points of cardiovascular death,myocardial infarction,stroke and bleeding within 12 months in the two groups were observed.Results The comparison of general baseline data between the two groups showed no statistically significant difference(P>0.05).There was also no significant difference in the composite end points of cardiovascular death,myocardial infarction and stroke between the two groups(P>0.05).The cumulative incidence of bleeding events in ticagrelor de-escalation + nicorandil group was significantly lower than that in ticagrelor group(P<0.05),while the composite end points of cardiovascular death,myocardial infarction,stroke and bleeding were also significantly lower than those in tecagrelor group(P<0.05).Conclusion In elderly patients with ACS,the treatment of ticagrelor de-escalation + nicorandil after PCI may not increase the incidence of ischemic events such as cardiovascular death,myocardial infarction or stroke,and it may reduce the incidence of hemorrhagic events.

The development of animal early embryos commences with the reprogramming of terminally differentiated gametes into totipotent zygotes following fertilization. During the initial stages of embryonic development, the transcriptional levels of zygotic genome remain silent and maternal gene products dominate the regulation of development. As embryonic development progresses, the maternal gene products undergo phased degradation while the zygotic genome gradually activates transcription, marking the transition from the maternal regulation to the zygotic genome regulation in early embryonic development, which is also referred to as the maternal-zygotic transition (MZT). Zygotic genome activation (ZGA) is a critical turning process in this transition, and its accurate occurrence is crucial for early embryonic development and cell fate decisions. However, the regulatory factors and molecular mechanisms of ZGA remain poorly understood. Studies have shown that ZGA varies greatly among different species and may be affected by a variety of regulatory factors such as DNA methylation, histone modification, non-coding RNA, chromatin remodeling and ZGA related factors. Here, we review the research progress of the above regulatory factors affecting ZGA, which can provide valuable insights for further investigations into the ZGA related mechanisms of early embryos.

ObjectiveThe scale of microalgae farming industry is huge. During farming, it is easy for microalgae to be affected by miscellaneous bacteria and other contaminants. Because of that, periodic test is necessary to ensure the growth of microalgae. Present microscopy imaging and spectral analysis methods have higher requirements for experiment personnel, equipment and sites, for which it is unable to achieve real-time portable detection. For the purpose of real-time portable microalgae detection, a real-time microalgae detection system of low detection requirement and fast detection speed is needed. MethodsThis study has developed a microalgae detection system based on deep learning. A microscopy imaging device based on bright field was constructed. With imaged captured from the device, a neural network based on YOLOv3 was trained and deployed on microcomputer, thus realizing real-time portable microalgae detection. This study has also improved the feature extraction network by introducing cross-region residual connection and attention mechanism and replacing optimizer with Adam optimizer using multistage and multimethod strategy. ResultsWith cross-region residual connection, the mAP value reached 0.92. Compared with manual result, the detection error was 2.47%. ConclusionThe system could achieve real-time portable microalgae detection and provide relatively accurate detection result, so it can be applied to periodic test in microalgae farming.