Objective: To fabricate a hydrogel loaded with inositol hexaphosphate-zinc and preliminarily evaluate its performance in self-mineralization and osteoinduction, thereby providing a theoretical basis for the development of bone regeneration materials. Methods: The hydrogel framework (designated DF0) was formed by copolymerizing methacryloyloxyethyltrimethylammonium chloride and four-armed poly(ethylene glycol) acrylate, followed by sequentially loading inositol hexaphosphate anions via electrostatic interaction and zinc ions via chelation. The hydrogel loaded only with inositol hexaphosphate anions was named DF1, while the co-loaded hydrogel was named DF2. The self-mineralization efficacy of the DF0 , DF1 and DF2 hydrogels was characterized using scanning electron microscopy, transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), and selected area electron diffraction (SAED). The biocompatibility was assessed via live/dead cell staining and a CCK-8 assay. The osteoinductive capacity of the DF0 , DF1 and DF2 hydrogels on MC3T3-E1 cells was assessed via alkaline phosphatase (ALP) and Alizarin Red S (ARS) staining. In the aforementioned cell experiments, cells cultured in standard medium served as the control group Results: The DF0, DF1, and DF2 hydrogels were successfully synthesized. Notably, DF1 and DF2 exhibited distinct self-mineralization within 6 days. Results from TEM, EDS, and SAED confirmed that the mineralization products were amorphous calcium phosphate in group DF1, and amorphous calciumzinc phosphate in group DF2. Biocompatibility tests revealed that none of the hydrogels (DF0, DF1, and DF2) adversely affected cell viability or proliferation. In osteogenic induction experiments, both ALP and ARS staining were intensified in the DF1 and DF2 groups, with the most profound staining observed in the DF2 group. Conclusion The developed inositol hexaphosphate-zinc hydrogel (DF2) demonstrates the dual capacity to generate calcium-phosphate compounds through self-mineralization while exhibiting excellent osteoinductive properties. This biocompatible, dual-promoting osteogenic hydrogel presents a novel strategy for bone regeneration.

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

Objective To study the risk factors of preoperative deep vein thrombosis(DVT)in middle-aged and elderly patients with lower limb fractures,and establish and evaluate the constructed nomogram model.Methods A retrospective analysis was conducted on the clinical data of totally 240 middle-aged and elderly patients with lower limb fractures at Quanzhou First Hospital Affiliated to Fujian Medical University from July 2023 to June 2024.According to whether the patient had DVT before surgery,they were divided into a DVT group of 75 cases and a non DVT group of 165 cases.The differences in clinical data and some labora-tory indicators levels at the time of initial admission,including platelets(PLT),prothrombin time(PT),ac-tive partial thromboplastin time(APTT),fibrinogen(FIB),thrombin time(TT),D-dimer(D-D),total pro-tein(TP),albumin(ALB),triglycerides(TG),cholesterol(CHOL),high-density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)between two groups were compared.Logistic binary regression was used to analyze the risk factors of DVT and a nomogram model was constructed.Receiver oper-ating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of various risk factors and nomo-gram model in screening DVT.Results Compared age and D-D levels of the DVT group were significantly higher(P＜0.001),while the levels of APTT,TP and ALB were significantly lower(P＜0.05),and the pro-portion of DVT combined with internal diseases and the proportion of fractures in the femur were significantly higher(P＜0.001).The above-mentioned differential indicators were all single risk factors for DVT.ROC curve analysis showed that except for comorbidities of internal medicine,all other risk factors could effectively screen for DVT(P＜0.05),the area under the curve(AUC)was 0.573-0.706,and the constructed nomo-gram model could effectively improve AUC to 0.797.Conclusion The nomogram model constructed based on single risk factors for DVT in this study is helpful for clinical assessment of the risk of DVT occurrence in pa-tients at the early stage of admission,intuitively and effectively.

Objective To investigate the mechanism by which artesunate(ART)attenuates intestinal mucosal barrier damage in acute graft-versus-host disease(aGVHD)and the synergistic effect of ART in combination with dexamethasone(DXM)in the treatment of aGVHD mice.Methods The aGVHD mouse model was established by bone marrow haematopoietic stem cell transplantation.The mice were divided into 9 groups,including normal mice control(Ctrl),aGVHD mice(aGVHD),normal mice receiving ART[30 mg/(kg·d)],aGVHD mice receiving low-dose ART[10 mg/(kg·d)],aGVHD mice receiving medium-dose ART[30 mg/(kg·d)],aGVHD mice receiving high-dose ART[50 mg/(kg·d)],aGVHD mice receiving DXM[20 mg/(kg·d)],aGVHD mice receiving ART[30 mg/(kg·d)]and DXM[20 mg/(kg·d)],and aGVHD mice receiving ART[30 mg/(kg·d)]and halved DXM[10 mg/(kg·d)].Survival rate and clinical parameters were assessed.HE staining and Alcian blue-periodic acid-Schiff(AB-PAS)staining were used to observe the histopathological changes in the intestinal mucosa of the mice;Real-time PCR,Western blotting and immunohistochemistry were used to detect the structure of the intestinal mucosal barrier,the T cell differentiation related transcription factors and cytokines,and the key enzymes of energy metabolism.Flow cytometry was used to detect the T helper cell 17(Th17)and regulatory T cells(Treg).Results After 30 days of ART treatment,aGVHD mice showed significant relief of systemic symptoms and increase in survival rate.In aGVHD mice treated with ART,the intestinal mucosal barrier structure was restored,and the intestinal mucosal permeability was reduced.The activity of AMP-activated protein kinase(AMPK)/mTOR pathway was inhibited,and the energy metabolism pattern of T cells was dominated by fatty acid synthesis.The balance of Th17/Treg was restored due to the decrease of Th 17 and the increase of Treg.The effect of ART+DXM treatment on aGVHD mice was comparable to that of DXM treatment alone,and the survival rate of mice was higher.In particular,the recovery of the intestinal mucosal barrier function was most obvious in the mice treated with ART+half-dose DXM.Conclusion ART reduces the immune injury of allo-T cells to the intestinal mucosal barrier by recovering the Th17/Treg balance,thus maintaining the integrity of the intestinal mucosal barrier function.The synergistic effect of ART and DXM combination treatment in aGVHD mice can reduce the incidence of DXM side effects by decreasing the dosage of DXM.

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.

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.