Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

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.

Pregnancy complicated by aortic root aneurysm in patients with Marfan syndrome is one of the main causes of termination of pregnancy or even death in pregnant women. A very small number of pregnant women require cardiac surgery to preserve pregnancy under extracorporeal circulation, and all surgeries use aortic root replacement. We reported a 30-year-old patient with severe aortic regurgitation combined with giant aortic root aneurysm and Marfan syndrome in mid-pregnancy. Valve-sparing root replacement using reimplantation technology was performed via a multidisciplinary cooperation model. This not only achieved the patient’s desire to continue pregnancy but also avoided the anticoagulation and bleeding complications brought by mechanical valve replacement, reduced pregnancy risks and improved long-term quality of life. Postoperative echocardiography showed a small amount of aortic valve regurgitation, aortic valve coaptation height of 0.6 cm, effective height of 1.1 cm, maximum aortic flow velocity of 1.4 m/s, mean transvalvular pressure gradient of 4.4 mm Hg, and satisfactory clinical results.

With the completion of the "Human Genome Project" and the smooth progress of the "Herbal Genome Project", the research wave of RNAomics is gradually advancing, opening the research gateway for the modernization of traditional Chinese medicine (TCM) and initiating the post-genome era of medicinal plant RNA research. Therefore, this article proposes for the first time the concept of HerbRNomes, which involves constructing databases of medicinal plant, medicinal fungus, and medicinal animal RNA at different stages, from different origins, and in different organs. This research aims to explore the role of HerbRNA in self-genetic information transmission, functional regulation, as well as cross-species regulation functional mechanisms and key technologies. It also investigates application scenarios, providing a theoretical basis and research ideas for the resistance of TCM or medicinal plants to adversity and stress, molecular assistant breeding, and the development of small nucleic acid drugs. This article reviews recent research progress in elucidating the molecular mechanisms of the transmission and expression of genetic information, self-regulation and cross-species regulation of herbs at the RNA level, along with key technologies. It proposes a development strategy for small nucleic acid drugs based on HerbRNomes, providing theoretical support and guidance for the modernization of TCM based on HerbRNomes research.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Objective The Nuangong Waifu formula （NGWFF） is a traditional Chinese medicine prescription that has been used in gynecology of traditional Chinese medicine in our hospital for many years. It has a certain effect on preventing postoperative intrauterine re-adhesion. To further retrospectively analyze the clinical efficacy of NGWFF. Methods A total of 200 patients who were diagnosed with intrauterine adhesions and underwent intrauterine adhesion separation from January 2018 to December 2020 were retrospectively included. They were divided into control group and observation group according to different drug use for postoperative prevention of re-adhesion, with 100 cases in each group. All patients were given oral estrogen and progesterone （ethinyl estradiol tablets 0.037 5 mg, q12 h, or estradiol valerate tablets 3 mg, q12 h, a total of 21 days, 7 days after estrogen therapy plus dydrogesterone 20 mg, qd or progesterone capsules 200 mg, qd） to promote endometrial growth. In the control group, 100 patients only used estrogen and progesterone after operation. In the observation group, 100 patients were treated with NGWFF at Guanyuan acupoint （four fingers under the navel）, once a day. Both groups were evaluated for the degree of intrauterine adhesions under hysteroscopy and the effective rate after 3-5 menstrual cycles of drug treatment. Results Compared with using estrogen and progesterone alone, combination use of NGWFF significantly decreased in the scores of intrauterine adhesions under hysteroscopy （2.41±1.19 vs 3.31±1.18, P=0.00）, and the effective rate was also significantly higher than that in the control group （ 86 % vs 47 %, P<0.000）. Conclusion The combination use of NGWFF was more effective than using estrogen and progesterone alone in preventing re-adhesion after intrauterine adhesions， which provided a scientific basis for the clinical application of NGWFF.

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.

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.

AIM To study the chemical constituents from Ganoderma angustisporum J.H.Xing,B.K.Cui&Y.C.Dai and their α-glucosidase inhibitory activities.METHODS The ethyl acetate extract from G.angustisporum was isolated and purified by silica gel,ODS,TLC and HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.pNPG method was used to evaluate their α-glucosidase inhibitory activities.RESULTS Seven compounds were isolated and identified as N-acetyl-L-phenylalanine ethyl ester(1),N-acetyl-L-phenylalanine methyl ester(2),4-hydroxy-17R-methylincisterol(3),6,8-di-O-methylaverufin(4),aversin(5),methyl 2-(4-hydroxyphenyl)aceate(6),5-toluene-1,3-diol(7).Compounds 1-2,4-7 showed inhibitory activities of α-glucosidase with IC50 values being(33.80±0.47),(45.45±7.95),(48.80±5.86),(39.48±2.82),(41.47±6.68),(55.38±10.12)μmol/L,and compound 1 showed good inhibitory activity.CONCLUSION Compound 1 is a new natural product.Compounds 2-7 are isolated from genus Ganoderma for the first time.Compounds 1-2,4-7 have α-glucosidase inhibitory activities.

In recent years, nucleic acid therapy, as a revolutionary therapeutic tool, has shown great potential in the treatment of genetic diseases, infectious diseases and cancer. Lipid nanoparticles (LNPs) are currently the most advanced mRNA delivery carriers, and their emergence is an important reason for the rapid approval and use of COVID-19 mRNA vaccines and the development of mRNA therapy. Currently, mRNA therapeutics using LNP as a carrier have been widely used in protein replacement therapy, vaccines and gene editing. Conventional LNP is composed of four components: ionizable lipids, phospholipids, cholesterol, and polyethylene glycol (PEG) lipids, which can effectively load mRNA to improve the stability of mRNA and promote the delivery of mRNA to the cytoplasm. However, in the face of the complexity and diversity of clinical diseases, the structure, properties and functions of existing LNPs are too homogeneous, and the lack of targeted delivery capability may result in the risk of off-targeting. LNPs are flexibly designed and structurally stable vectors, and the adjustment of the types or proportions of their components can give them additional functions without affecting the ability of LNPs to deliver mRNAs. For example, by replacing and optimizing the basic components of LNP, introducing a fifth component, and modifying its surface, LNP can be made to have more precise targeting ability to reduce the side effects caused by treatment, or be given additional functions to synergistically enhance the efficacy of mRNA therapy to respond to the clinical demand for nucleic acid therapy. It is also possible to further improve the efficiency of LNP delivery of mRNA through machine learning-assisted LNP iteration. This review can provide a reference method for the rational design of engineered lipid nanoparticles delivering mRNA to treat diseases.