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.

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 A simple,sensitive and rapid ultra high performance liquid chromatography tandem mass spectrometry(UPLC-MS/MS)method was developed and validated for the determination of ertapenem in human plasma.Methods Using ertapenem-D4 as internal standard,the protein in plasma was precipitated with acetonitrile;chromatographic column:ACQUITY HSS T3(2.1 mm × 50.0 mm,1.8 μm);the mobile phase was 0.1％formic acid aqueous solution(containing 2 mmol·L-1 ammonium formate)-acetonitrile(0.1％formic acid),using a gradient elution;flow rate:0.4 mL·min-1,injection volume:1 μL,column temperature:45 ℃,the analysis time was 4.5 min,the scanning mode is positive ion selective reaction monitoring mode(SRM)with an electric spray ion source(ESI).The specificity,standard curve and lower limit of quantification,precision and recovery,matrix effect,dilution effect and stability were investigated.Results Ertapenem had a good linearity within 0.5-80.0μg·mL-1,and the standard curve was y=4.25 × 10-1x-2.64× 10-2(r2=0.999 0),the lower limit of quantification was 0.5 μg·mL-1,the relative standard deviation within and between batches is 1.39％-4.15％.The extraction recovery rate was 58.36％-64.57％,and the relative standard deviation of dilution effect was 3.30％,and the matrix effect was 99.71％-103.23％.The relative standard deviation of room temperature,repeated freeze-thaw,4 ℃,and long-term stability are all less than 10％.Conclusion The method is sensitive,rapid and specific,which is suitable for clinical monitoring of Ertapenem.

Objective To quantitatively assess the influence of various factors on the pharmacokinetic parameters of propofol and to develop a propofol population pharmacokinetic model tailored for Chinese patients.Methods Thirty patients scheduled for selective abdominal surgeries received an anesthesia dose of propofol at 2.0 mg·kg-1.The concentration of propofol in collected venous blood samples was measured using liquid chromatography-tandem mass spectrometry.Polymorphisms in metabolizing enzyme genes were detected through Sanger sequencing technology.Pharmacokinetic parameters were computed,and models were constructed and evaluated using Phoenix Winnonlin software.Results Through software analysis,the drug's in vivo process was best described by a three-compartment model.The population mean values for the central compartment clearance rate(CL),shallow peripheral compartment clearance rate(Q2),deep peripheral compartment clearance rate(Q3),central compartment volume of distribution(V),shallow peripheral compartment volume of distribution(V2),and deep peripheral compartment volume of distribution(V3)were 1.71 L·min-1,1.31 L·min-1,1.51 L·min-1,5.92 L,19.86 L and 99.06 L,respectively.Body weight was identified as a significant covariate affecting CL and V,and was incorporated into the model.Conclusion The evaluation of the final model demonstrates its substantial predictive capability,offering directional guidance for the clinical administration of propofol.

As a microbial therapy method, fecal microbiota transplantation (FMT) has attracted the attention of researchers in recent years. As one of the most direct and effective methods to improve gut microbiota, FMT achieves therapeutic benefits by transplanting functional gut microbiota from healthy human feces into the intestines of patients to reconstruct new gut microbiota. FMT has been proven to be an effective treatment for gastrointestinal diseases such as Clostridium difficile infection, irritable bowel syndrome, and inflammatory bowel disease. In addition, the clinical and basic research of FMT outside the gastrointestinal system is also emerging. It is worth noting that there is bidirectional communication between the gut microbial community and the central nervous system (CNS) through the gut-brain axis. Some gut bacteria can synthesize and release neurotransmitters such as glutamate, gamma-aminobutyric acid (GABA) and dopamine. Imbalanced gut microbiota may interfere with the normal levels of these neurotransmitters, thereby affecting brain function. Gut microbiota can also produce metabolites that may cross the blood-brain barrier and affect CNS function. FMT may affect the occurrence and development of CNS and its related diseases by reshaping the gut microbiota of patients through a variety of pathways such as nerves, immunity, and metabolites. This article introduces the development of FMT and the research status of FMT in China, and reviews the basic and clinical research of FMT in neurodegenerative diseases (Alzheimer’s disease, Parkinson’s disease), neurotraumatic diseases (spinal cord injury, traumatic brain injury) and stroke from the characteristics of three types of nervous system diseases, the characteristics of intestinal flora, and the therapeutic effect and mechanism of fecal microbiota transplantation, summarize the common mechanism of fecal microbiota transplantation in the treatment of CNS diseases and the therapeutic targets. We found that the common mechanisms of FMT in the treatment of nervous system diseases may include the following 3 categories through summary and analysis. (1) Gut microbiota metabolites, such as SCFAs, TMAO and LPS. (2) Inflammatory factors and immune inflammatory pathways such as TLR-MyD88 and NF-κB. (3) Neurotransmitter 5-HT. In the process of reviewing the studies, we found the following problems. (1) In basic researches on the relationship between FMT and CNS diseases, there are relatively few studies involving the autonomic nervous system pathway. (2) Clinical trial studies have shown that FMT improves the severity of patients’ symptoms and may be a promising treatment for a variety of neurological diseases. (3) The improvement of clinical efficacy is closely related to the choice of donor, especially emphasizing that FMT from healthy and young donors may be the key to the improvement of neurological diseases. However, there are common challenges in current research on FMT, such as the scientific and rigorous design of FMT clinical trials, including whether antibiotics are used before transplantation or different antibiotics are used, as well as different FMT processes, different donors, different functional analysis methods of gut microbiota, and the duration of FMT effect. Besides, the safety of FMT should be better elucidated, especially weighing the relationship between the therapeutic benefits and potential risks of FMT carefully. It is worth mentioning that the clinical development of FMT even exceeds its basic research. Science and TIME rated FMT as one of the top 10 breakthroughs in the field of biomedicine in 2013. FMT therapy has great potential in the treatment of nervous system diseases, is expected to open up a new situation in the medical field, and may become an innovative weapon in the medical field.

2-(4-Methylthiazol-5-yl) ethyl nitrate hydrochloride (W1302) is a nitro containing derivative of clomethiazole, which is a novel neuroprotective agent with both carbon monoxide (NO) donor and weak γ-aminobutyric acid type A (GABA_A) receptor allosteric regulatory excitatory effect. The current study used a rat model of transient middle cerebral arteryocclusion (tMCAO) brain injury to evaluate the therapeutic effect of W1302 on ischemic stroke and explore its potential mechanisms of action. This experiment has been reviewed and approved by the Laboratory Animal Management and Use Committee of the Institute of Materia Medica, Chinese Academy of Medical Sciences (ethical review forms No. 620, 632, 5013). The results showed that gavage administration of 1, 3, and 10 mg·kg^-1 of W1302 can significantly reduce the volume of cerebral infarction in rats with ischemia for 2 h and reperfusion for 24 h, and the therapeutic effect was better than that of 200 mg·kg^-1 of DL-3n-butylphthalide. W1302 significantly increased NO levels in blood and brain tissue. It increased cerebral blood flow and brain adenosine triphosphate (ATP) content after reperfusion, as well as, inhibited the expressions of inflammatory factors tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in brain tissue. The time window of W1302 was between 120-180 min after ischemia. These research results demonstrated that W1302 could increase NO release, dilate blood vessels, and increase cerebral blood flow, improve energy supply to brain tissue and increase ATP levels, and inhibit neuro-inflammation, which playing the protective roles in tMCAO stroke model rats. This provides theoretical support for the clinical application of W1302 in the treatment of ischemic stroke.

Objective To investigate the effect of astragaloside Ⅳ on high glucose-induced pyroptosis and invasive migration of human chorionic trophoblast cells(HTR-8/SVneo).Methods HTR-8/SVneo cells were divided into 4 groups:control group(untreated),high glucose group(high glucose stimulation)and astragaloside Ⅳ 50 and 100 μmol/L group(high glucose stimulation + astragaloside).Cell activity was detected by Cell Counting Kit 8(CCK-8),cell invasion and migration abilities were determined by Transwell assay and scratch assay,respectively,cell pyroptosis was assessed by Hoechst 33342/propidium iodide(PI)dual fluorescence staining.The protein expression levels of NOD-like receptor thermoprotein structural domain(NLRP3),cleaved-Caspase-1,GSDMD-NT,and IL-18 were detected by Western Blot.Results Compared with the control group,HTR-8/SVneo cell viability was significantly reduced in the high glucose group,the rate of cell migration was significantly reduced,the number of invasive cells was significantly reduced,the percentage of PI-positive cells was significantly increased,and the levels of NLRP3,cleaved-Caspase-1,GSDMD-NT and IL-18 protein expression levels were significantly increased(P<0.05 or P<0.01);compared with the high glucose group,cell viability was significantly higher in the astragaloside Ⅳ treated group,the rate of cell migration was significantly increased,the number of invasive cells was significantly increased,the percentage of PI-positive cells was significantly decreased,and the protein expressions of number of NLRP3,cleaved-Caspase-1,GSDMD-NT,IL-18 were significantly decreased(P<0.05 or P<0.01).Conclusion AstragalosideⅣcan inhibit high glucose-induced HTR-8/SVneo cell pyrolysis and improve cell invasion and migration ability.

Objective To make an epidemiological investigation on traditional Chinese medicine(TCM)dampness syndrome manifestations in the population at risk of cerebrovascular diseases in Guangdong area.Methods A cross-sectional study was conducted to analyze the clinical data related to the risk of cerebrovascular diseases in 330 Guangdong permanent residents.The diagnosis of dampness syndrome,quantitative scoring of dampness syndrome and rating of the risk of stroke were performed for the investigation of the distribution pattern of dampness syndrome and its influencing factors.Results(1)A total of 306(92.73%)study subjects were diagnosed as dampness syndrome.The percentage of dampness syndrome in the risk group was 93.82%(258/275),which was slightly higher than that of the healthy group(48/55,87.27%),but the difference was not statistically significant(χ2 = 2.91,P = 0.112).The quantitative score of dampness syndrome in the risk group was higher than that of the healthy group,and the difference was statistically significance(Z =-2.24,P = 0.025).(2)Among the study subjects at risk of cerebrovascular disease,evaluation time(χ2 = 26.11,P = 0.001),stroke risk grading(χ2= 8.85,P = 0.031),and history of stroke or transient ischemic attack(TIA)(χ2 = 9.28,P = 0.015)were the factors influencing the grading of dampness syndrome in the population at risk of cerebrovascular disease.Conclusion Dampness syndrome is the common TCM syndrome in the population of Guangdong area.The manifestations of dampness syndrome are more obvious in the population with risk factors of cerebrovascular disease,especially in the population at high risk of stroke,and in the population with a history of stroke or TIA.The assessment and intervention of dampness syndrome should be taken into account for future project of stroke prevention in Guangdong.

Objective To observe the effect of multi-modal hand hygiene(HH)intervention on HH compliance,as well as the relationship between HH compliance and the healthcare-associated(HA)case infection incidence.Methods From 2014 to 2022,the infection control team in a tertiary first-class hospital implemented multi-modal HH intervention for health care workers(HCWs).The changing trend of HH monitoring data,the correlation be-tween HH compliance rate and HA case infection incidence were analyzed retrospectively.Results The consump-tion of HH products in the wards showed a stable upward trend;HH compliance rate increased from 64.98％in 2014 to 85.01％in 2022(P＜0.001),and HA case infection incidence decreased from 1.21％to 0.83％(P＜0.05).HH compliance rate was negatively correlated with HA case infection incidence(r=-0.369,P=0.027).HH compliance rates in different regions and job posts in each quarter were increased(P＜0.001).For 5 different HH moments in each quarter,HH compliance rate fluctuated slightly before sterile manipulation and after touching patient;presented rising trend after touching surroundings around patient,and decreased before touching patient and after touching patient's body fluid since 2020(P＜0.001).Conclusion Multi-modal HH intervention can im-prove the HH compliance of HCWs,improving their HH awareness is conducive to reducing HA case infection incidence.

To characterize human antibodies against low-calcium response V(LcrV)antigen of Yersinia pestis,the mono-clonal antibodies were screened and assayed.Antibody gene was derived from peripheral blood mononuclear cells of the vaccin-ees immunized by plague subunit vaccine in phase Ⅱb clinical trial.Human ScFv antibody library was constructed by phage dis-play.After panning library by using recombinant LcrV antigen,antibody variable genes were sequenced and converted into IgG1 format to evaluate its binding specificity and relevant parameters.An anti-plague human ScFv antibody library was estab-lished contained 7.54× 108 independent clones.After panning by LcrV antigen,3 human antibodies named as RV-B4,RV-D1 and RV-E8,respectively,were identified.Using indirect enzyme-linked immunosorbent assay(ELISA)and Western blot(WB),the specific bindings of the mAbs to LcrV antigen were confirmed.The dissociation constant(KD)of them to LcrV is 2.1 nmol/L,1.24 nmol/L and 42 nmol/L,respectively.Minor protective efficacy was found among 3 human antibodies in Y.pestis 141-infected mice.Three anti-LcrV monoclonal antibodies generated from immunized vaccinees were binding specific antibod-ies and could not block plague infection in mice.These antibodies are the potential candidate reagents for basic research of plague immunity and the application of plague diagnosis.