ObjectiveTo investigate the differences in efficacy and endogenous metabolic mechanisms of Anmeidan with combined use of raw and fried Ziziphi Spinosae Semen and its disassembled prescriptions in treating anxiety and cognitive impairment in insomnia rats. MethodsSixty rats were randomly divided into six groups （n=10 per group）： blank group， model group， suvorexant group （30 mg·kg^-1）， Anmeidan group （9.09 g·kg^-1）， Anmeidan with absence of raw Ziziphi Spinosae Semen group （7.38 g·kg^-1）， and Anmeidan with absence of fried Ziziphi Spinosae Semen group （7.38 g·kg^-1）. An insomnia model was constructed by intraperitoneal injection of para-chlorophenylalanine （PCPA）， followed by gavage administration of Anmeidan or its disassembled prescriptions. Anxiety levels were assessed using the open field test， while cognitive ability was evaluated via the novel object recognition test. The pathological morphology of hippocampal neurons was examined using electron microscopy. Serum samples were analyzed by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS） for principal component analysis， metabolic profiling， identification of differential metabolites， and metabolic pathway analysis. ResultsCompared with the blank group， the model group exhibited significantly increased exercise mileage， exercise time， and the ratio of the number of entries into the peripheral zone to the total number of entries into both the peripheral and central zones exhibited a marked increase （P<0.05， P<0.01）， while the novel object recognition index significantly decreased （P<0.05）. Compared with the model group， the Anmeidan and suvorexant groups showed significantly reduced exercise mileage and exercise time （P<0.01）. The ratio of the number of entries into the peripheral zone to the total number of entries into both the peripheral and central zones decreased （P<0.05）， and a significant increase in the novel object recognition index （P<0.01）. However， the disassembled prescription groups showed no significant improvement in open field test and novel object recognition test indices. Electron microscopy revealed that the Anmeidan group improved the pathological morphology of hippocampal neurons in insomnia rats. Metabolomics analysis identified 10 potential differential metabolites associated with Anmeidan's therapeutic effects， involving metabolic pathways related to phenylalanine and tryptophan biosynthesis and metabolism， as well as the serotonergic pathway. ConclusionThe combined use of raw and fried Ziziphi Spinosae Semen in Anmeidan is more effective than its disassembled prescriptions in alleviating anxiety and cognitive impairment in PCPA-induced insomnia rats. The underlying mechanism may be associated with metabolic pathways related to phenylalanine， tryptophan， and serotonin.

Sleep， skin， and health are closely interconnected. Clinically， insomnia has a high incidence and is often accompanied by or secondary to skin aging. The two conditions exhibit "different diseases with the same syndrome"， significantly affecting the physical and mental health of the Chinese population. Preventing and treating skin aging by improving insomnia is an important strategy， with the principle of "treating different diseases with the same approach" serving as a crucial therapeutic guideline. However， effective clinical prevention and treatment methods for both conditions remain lacking. Traditional Chinese medicine （TCM） has a profound theoretical foundation and notable efficacy in the concurrent treatment of insomnia and skin aging， yet there are few reports on the etiology， pathogenesis， therapeutic principles， and treatment methods of their shared treatment， warranting further exploration. Based on holistic view and syndrome differentiation and treatment in TCM， this study systematically investigates the theoretical origins of the shared manifestations of insomnia and skin aging from multiple dimensions， including etiology， pathological location， pathogenesis， disease nature， and prevention and treatment strategies. As early as Huangdi's Internal Classic （Huangdi Neijing）， it was recognized that mental clarity during the day， sound sleep at night， and firm， healthy skin are key indicators of external health， whereas daytime lethargy， poor sleep quality， and dry， withered skin are prominent signs of aging. Maintaining mental clarity during the day and restful sleep at night is essential for skin integrity and healthy aging. Later medical scholars proposed that the common etiology of insomnia and skin aging lies in "internal-external interactions"， with the pathological location involving "the five organ systems". The primary pathogenesis includes "deficiency， fire， stagnation， phlegm， and blood stasis"， while the disease nature is often characterized by "a combination of deficiency and excess". Treatment should be guided by syndrome differentiation， following the principle of balancing Yin and Yang. This theoretical exploration enriches and advances TCM understanding of disease onset and prevention， providing theoretical guidance for the clinical prevention and treatment of insomnia-associated skin aging and contributing to the realization of the "Healthy China" initiative.

INTRODUCTION: Lecanemab has shown promise in treating early Alzheimer's disease (AD), but its safety and efficacy in Chinese populations remain unexplored. This study aimed to evaluate the safety and 6-month clinical outcomes of lecanemab in Chinese patients with mild cognitive impairment (MCI) or mild AD. METHODS: In this single-arm, real-world study, participants with MCI due to AD or mild AD received biweekly intravenous lecanemab (10 mg/kg). The study was conducted at Hainan Branch, Ruijin Hospital Shanghai Jiao Tong University School of Medicine. Patient enrollment and baseline assessments commenced in November 2023. Safety assessments included monitoring for amyloid-related imaging abnormalities (ARIA) and other adverse events. Clinical and biomarker changes from baseline to 6 months were evaluated using cognitive scales (mini-mental state examination [MMSE], montreal cognitive assessment [MoCA], clinical dementia rating-sum of boxes [CDR-SB]), plasma biomarker analysis, and advanced neuroimaging. RESULTS: A total of 64 patients were enrolled in this ongoing real-world study. Safety analysis revealed predominantly mild adverse events, with infusion-related reactions (20.3%, 13/64) being the most common. Of these, 69.2% (9/13) occurred during the initial infusion and 84.6% (11/13) did not recur. ARIA-H (microhemorrhages/superficial siderosis) and ARIA-E (edema/effusion) were observed in 9.4% (6/64) and 3.1% (2/64) of participants, respectively, with only two symptomatic cases (one ARIA-E presenting with headache and one ARIA-H with visual disturbances). After 6 months of treatment, cognitive scores remained stable compared to baseline (MMSE: 22.33 ± 5.58 vs . 21.27 ± 4.30, P = 0.733; MoCA: 16.38 ± 6.67 vs . 15.90 ± 4.78, P = 0.785; CDR-SB: 2.30 ± 1.65 vs . 3.16 ± 1.72, P = 0.357), while significantly increasing plasma amyloid-β 42 (Aβ42) (+21.42%) and Aβ40 (+23.53%) levels compared to baseline. CONCLUSIONS: Lecanemab demonstrated a favorable safety profile in Chinese patients with early AD. Cognitive stability and biomarker changes over 6 months suggest potential efficacy, though high dropout rates and absence of a control group warrant cautious interpretation. These findings provide preliminary real-world evidence for lecanemab's use in China, supporting further investigation in larger controlled studies. REGISTRATION ClinicalTrials.gov , NCT07034222.
Humans ; Alzheimer Disease/drug therapy* ; Male ; Female ; Aged ; Middle Aged ; Cognitive Dysfunction/drug therapy* ; Aged, 80 and over ; Amyloid beta-Peptides/metabolism* ; Biomarkers ; East Asian People

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

Attention deficit hyperactivity disorder （ADHD）， also known as hyperactivity disorder in children， is a behavioral disorder commonly found in children， particularly preschool-aged children. This disorder can lead to cognitive impairment， learning difficulties， conduct disorders， and other mental health issues， severely impacting the quality of life for affected children. Moreover， the global prevalence of ADHD continues to rise. Establishing an animal model that closely aligns with clinical symptoms and the pathogenesis of the disease is crucial for advancing research on the prevention and treatment of ADHD. In recent years， research on animal models of ADHD has rapidly developed. Researchers have developed nearly 20 animal models from genetic and environmental perspectives. However， most of these models are still in the exploratory stage， and there is insufficient research to thoroughly investigate their pathogenesis， core characteristics， and drug effects. The spontaneously hypertensive rat （SHR） is currently the most commonly used animal model for ADHD because of its excellent face validity and developmental stage that better corresponds to childhood. In addition， dopamine transporter （DAT） knockout mice， LPHN3 knockout rats， and neonatal rat hypoxia models have also shown good face validity. Some researchers have injected SHRs with daily doses of levothyroxine sodium， which not only induces typical ADHD symptoms in the rats but also exhibits signs of Yin deficiency and Yang hyperactivity， which successfully simulates the Yin deficiency and Yang hyperactivity syndrome type of ADHD， providing a new approach for constructing and evaluating ADHD animal models that combine both traditional Chinese and western medicine. This article reviewed ADHD animal models reported in China and abroad over the past decade， summarized rodent models of ADHD into three major categories： genetic models， chemically induced models， and environmentally induced models， and analyzed each category to provide a reference for selecting and exploring appropriate models for experimental ADHD research.

ObjectiveSerum metabolomics of acute lung injury（ALI） in rats was conducted using ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） to explore the similarities and differences in the mechanism of Qingqiao（harvested when the fruits of Forsythiae Fructus were initially ripe and still green in color） and Laoqiao（harvested when the fruits of Forsythiae Fructus were ripe） in the treatment of ALI. MethodA total of 24 SD male rats were acclimatized and fed for 1 week， 6 of them were randomly selected for the blank group and 18 for the experimental group. The ALI model was induced in the experimental group by tracheal intubation with lipopolysaccharide（LPS）. After successfully constructing the ALI model， these rats was randomly divided into model group， Qingqiao group and Laoqiao group， with 6 rats in each group. The Qingqiao and Laoqiao groups were administered orally once a day at a dose of 1.5 g·kg^-1， while the blank and model groups received an equivalent volume of saline for 3 consecutive days. The pathological conditions of rat lung tissues were comprehensively assessed by hematoxylin-eosin（HE） staining， wet-to-dry mass ratio（W/D） of lung tissues， and protein concentration in rat bronchoalveolar lavage fluid（BALF）. The levels of interleukin（IL）-6， IL-1β and tumor necrosis factor（TNF）-α in BALF were quantified using enzyme-linked immunosorbent assay（ELISA）. UPLC-Q-TOF-MS was used to identify and analyze the chemical compositions of Qingqiao and Laoqiao， and serum metabolomics of rats in each group was analyzed， combined with multivariate statistical analysis with variable importance in the projection（VIP） value>1， P<0.05 from t-test， and fold change（FC）≥1.5 or FC≤0.5 to screen the differential metabolites Qingqiao and Laoqiao for the treatment of ALI. The Kyoto Encyclopedia of Genes and Genomes（KEGG） database was used in combination with MetaboAnalyst for the metabolic pathway analysis of the screened differential metabolites. ResultCompared with the blank group， rats in the model group exhibited enlarged alveolar lumen， ruptured alveoli， interstitial hemorrhage， bronchial exudation of a large number of neutrophils and erythrocytes， and a significant increase in the protein concentration in the BALF and the W/D value of the lung tissues（P<0.01）. In contrast， compared with the model group， rats in the Qingqiao group and the Laoqiao group showed reduced bronchial hemorrhage in the lungs， and the protein concentration in the BALF and the W/D value of the lung tissues were significantly decreased（P<0.01）， the lung injury was significantly alleviated， but more obvious in the Qingqiao group. Compared with the blank group， the expression levels of IL-6， IL-1β and TNF-α in the BALF of the model group were significantly higher（P<0.01）. Additionally， compared with the model group， the expression levels of IL-6， IL-1β and TNF-α in the Qingqiao and Laoqiao groups were significantly lower（P<0.01）. The chemical composition analysis of Qingqiao and Laoqiao revealed that 63 components were detected in Qingqiao and 55 components were detected in Laoqiao， with 47 common components， 16 components unique to Qingqiao and 8 components unique to Laoqiao. Characterizing the differences in serum metabolomics in rats， 19 and 12 metabolites were called back by Qingqiao and Laoqiao， respectively. The metabolic pathway enrichment analysis showed that Qingqiao exerted its therapeutic effects by affecting 6 key metabolic pathways， including linoleic acid metabolism， phenylalanine metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， glycerophospholipid metabolism， α-linolenic acid metabolism， and arachidonic acid metabolism， and Laoqiao exerted therapeutic effects by affecting 6 key metabolic pathways， including linoleic acid metabolism， arachidonic acid metabolism， sphingolipid metabolism， phenylalanine metabolism， ascorbate and aldarate metabolism， and glycerophospholipid metabolism. ConclusionQingqiao and Laoqiao have therapeutic effects on ALI， and Qingqiao is more effective. Both of them can play a therapeutic role in ALI by regulating amino acid metabolism and lipid metabolism， but the metabolic pathways affected by them are different.

DNA genetic markers have always played important roles in individual identification, kinship analysis, ancestry inference and phenotype characterization in the field of forensic medicine. DNA methylation has unique advantages in biological age inference, body fluid identification and prediction of phenotypes. The majority of current studies independently examine DNA and DNA methylation markers using various workflows, and they use various analytical procedures to interpret the biological information these two markers present. Integrated methods detect DNA and DNA methylation markers simultaneously through a single experimental workflow using the same preparation of sample. Therefore, they can effectively reduce consumption of time and cost, streamline experimental procedures, and preserve valuable DNA samples taken from crime scenes. In this paper, the integrated detection approaches of DNA and DNA methylation markers on different detection platforms were reviewed. In order to convert methylation modifications to detectable forms, several options were available for pretreatment of genomic DNA, including digestion with methylation-sensitive restriction enzyme, affinity enrichment of methylated fragments, conversion of methylated or unmethylated cytosine. Multiplexed primers can be designed for DNA markers and converted DNA methylation markers for co-amplification. The schemes of using capillary electrophoresis platform for integrated detection add the pretreatment of genomic DNA on the basis of detecting DNA genetic markers. DNA and DNA methylation markers are then integrated by co-amplification. But the limited number of fluorescent options available and the length of amplicons restrict the type and quantity of markers that can be integrated into a panel. Pyrophosphate sequencing also supports integrated detection of DNA and DNA methylation markers. On this platform, due to the conversion of unmethylated cytosine to thymine after treatment with bisulfite, the methylation level of CpG site can be directly calculated using the peak height ratio of cytosine bases and thymine bases. Therefore, the methylation levels and SNP typing can be simultaneously obtained. However, due to the limited read length of sequencing, the detection of markers with longer amplicons is restricted. It is not conducive to fully interpret the complete information of the target sequence. Next-generation sequencing also supports integrated detection of DNA and DNA methylation markers. A preliminary experimental process including DNA extraction, pretreatment of genomic DNA, co-preparation of DNA and DNA methylation library and co-sequencing, has been formed based on the next-generation sequencing platform. It confirmed the feasibility of next-generation sequencing technology for integrated detection of DNA and DNA methylation markers. In field of biomedicine, various integrated detection schemes and corresponding data analysis approaches of DNA and DNA genetic markers developed based on the above detection process.Co-analysis can simultaneously obtain the genomic genetic and epigenetic information through a single analytic process. These schemes suggest that next-generation sequencing may be an effective method for achieving more accurate and highly integrated detection, helping to explore the potential for application in forensic biological samples. We finally explore the impact of interactions between sites and different pretreatment methods on the integrated detection of DNA and DNA methylation markers, and also propose the challenge of applying third-generation sequencing for integrated detection in forensic samples.

Matrine has various pharmacological effects,including antitumor,anti-inflammatory,and antibacterial effects,which is an adjuvant drug widely used in clinical cancer chemotherapy.However,due to the fact that matrine is both an active and toxic component of Chinese materia medica,its clinical safety is particularly important.This article reviewed the research progress in the pharmacological effects of matrine from the aspects of anti-inflammatory,anticancer,antibacterial and antiviral,cardiovascular protection,neuroprotection,liver and kidney protection,and detoxification.It also summarized its toxicity and clinical application research,aiming to provide reference for the rational use of matrine.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.