Five compounds were isolated and purified from the water extract of Elaeagnus oxycarpa Schlechtend leaf by multi-dimensional reversed-phase preparative liquid chromatographic system based on the separation and enrichment model. Their structures were identified by spectral analysis such as NMR, MS, UV, IR and by comparison with literature information as 2,4(1H,3H)-pyrimidinedione (1), elaeagnussugarester B (2), elaeagnussugarester A (3), elaeagnussugarester C (4), gallic acid (5). Compounds 2-4 are new compounds, compound 1 was isolated from Elaeagnus oxycarpa Schlechtend for the first time. The antioxidant and anti-tyrosinase activities of these compounds were evaluated by using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical method, the 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) free radical method, the potassium ferricyanide reduction method and the colorimetric method with L-tyrosine as substrate. The results showed that compounds 2-5 have good antioxidant activities and inhibitory effect on tyrosinase. Compound 4 exhibited the most strong antioxidant activities, with IC₅₀ = 3.59 ± 0.06 μmol·L^-1 for DPPH free radical scavenging ability, IC₅₀ = 10.04 ± 0.20 μmol·L^-1 for ABTS free radical scavenging ability, and total reduction capacity of compound 4 was better than vitamin C respectively. Compound 3 possessed better inhibitory effect on tyrosinase with IC₅₀ = 0.25 ± 0.06 mmol·L^-1.

ObjectiveThis paper used the AGREE Ⅱ guideline evaluation tool to evaluate the quality of 14 clinical guidelines for acute myocardial infarction，aiming to provide reference for the formulation and improvement of the guidelines. MethodsClinical guidelines and expert consensus related to acute myocardial infarction were searched by web search. The search period ranges from January 1，2019 to November 1，2024 in CNKI，VIP，Wanfang Data，SinoMed，Web of Science，OVID， the International Guidelines Collaboration Network （GIN），the UK National Institute for Health and Clinical Excellence （NICE），Yimaitong， and other platforms. Three researchers independently screened the literature and used AGREE Ⅱ to score the screening results. After ensuring that the researchers have a consistent understanding of each guideline，the quality of the guidelines was evaluated. After that，the ratings were analyzed by layer according to the issuing agency，category，method of formulation，and funding situation and compared longitudinally by rating time. The clinical guidelines and expert consensus were compared in terms of content and evidence. ResultsA total of 14 guidelines and consensus were included. The results of AGREE Ⅱ in the six areas in descending order were scope and purpose （62.82%±10.43%），rigor （62.40%±12.77%），editorial independence （62.11%±22.26%），participants （61.42%±11.65%），clarity of expression （59.98%±9.62%），and application （52.94%±16.90%） . Eleven of the guidelines were at level B， and three were at level A. In the stratified analysis，the score of the guideline formulated by the Chinese Medical Doctor Association was lower. There was little difference between the scores of Chinese/Western and Western medicine guidelines. The average score of the guidelines was higher than the consensus. Funded guidelines and consensus scores were higher. In the longitudinal comparison，the highest number of guidelines were developed in 2020 and 2021，while those developed in 2023 scored the highest. In the differential comparison analysis，the content of the guidelines was more comprehensive， and the evidence level was higher，while the content of the consensus was more novel， and the evidence was less. ConclusionThe AGREE Ⅱ score of the clinical guidelines for acute myocardial infarction is generally moderate，and there is room for improvement in terms of applicability. At the same time，the content quality of expert consensus should be improved，and more efforts should be made to develop and apply Chinese medicine guidelines for complications such as heart failure and microcirculatory obstruction after acute myocardial infarction.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

Objective: : Hemifacial spasm (HFS) is treated by a surgical procedure called microvascular decompression (MVD). However, HFS re-appearing phenomenon after surgery, presenting as early recurrence, is experienced by some patients after MVD. Dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging (MRI) and two analytical methods : receiver operating characteristic (ROC) curve and machine learning, were used to predict early recurrence in this study. Methods: : This study enrolled 60 patients who underwent MVD for HFS. They were divided into two groups : group A consisted of 32 patients who had early recurrence and group B consisted of 28 patients who had no early recurrence of HFS. DSC perfusion MRI was undergone by all patients before the surgery to obtain the several parameters. ROC curve and machine learning methods were used to predict early recurrence using these parameters. Results: : Group A had significantly lower relative cerebral blood flow than group B in most of the selected brain regions, as shown by the region-of-interest-based analysis. By combining three extraction fraction (EF) values at middle temporal gyrus, posterior cingulate, and brainstem, with age, using naive Bayes machine learning method, the best prediction model for early recurrence was obtained. This model had an area under the curve value of 0.845. Conclusion : By combining EF values with age or sex using machine learning methods, DSC perfusion MRI can be used to predict early recurrence before MVD surgery. This may help neurosurgeons to identify patients who are at risk of HFS recurrence and provide appropriate postoperative care.

Objective: : Hemifacial spasm (HFS) is treated by a surgical procedure called microvascular decompression (MVD). However, HFS re-appearing phenomenon after surgery, presenting as early recurrence, is experienced by some patients after MVD. Dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging (MRI) and two analytical methods : receiver operating characteristic (ROC) curve and machine learning, were used to predict early recurrence in this study. Methods: : This study enrolled 60 patients who underwent MVD for HFS. They were divided into two groups : group A consisted of 32 patients who had early recurrence and group B consisted of 28 patients who had no early recurrence of HFS. DSC perfusion MRI was undergone by all patients before the surgery to obtain the several parameters. ROC curve and machine learning methods were used to predict early recurrence using these parameters. Results: : Group A had significantly lower relative cerebral blood flow than group B in most of the selected brain regions, as shown by the region-of-interest-based analysis. By combining three extraction fraction (EF) values at middle temporal gyrus, posterior cingulate, and brainstem, with age, using naive Bayes machine learning method, the best prediction model for early recurrence was obtained. This model had an area under the curve value of 0.845. Conclusion : By combining EF values with age or sex using machine learning methods, DSC perfusion MRI can be used to predict early recurrence before MVD surgery. This may help neurosurgeons to identify patients who are at risk of HFS recurrence and provide appropriate postoperative care.

Objective: : Hemifacial spasm (HFS) is treated by a surgical procedure called microvascular decompression (MVD). However, HFS re-appearing phenomenon after surgery, presenting as early recurrence, is experienced by some patients after MVD. Dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging (MRI) and two analytical methods : receiver operating characteristic (ROC) curve and machine learning, were used to predict early recurrence in this study. Methods: : This study enrolled 60 patients who underwent MVD for HFS. They were divided into two groups : group A consisted of 32 patients who had early recurrence and group B consisted of 28 patients who had no early recurrence of HFS. DSC perfusion MRI was undergone by all patients before the surgery to obtain the several parameters. ROC curve and machine learning methods were used to predict early recurrence using these parameters. Results: : Group A had significantly lower relative cerebral blood flow than group B in most of the selected brain regions, as shown by the region-of-interest-based analysis. By combining three extraction fraction (EF) values at middle temporal gyrus, posterior cingulate, and brainstem, with age, using naive Bayes machine learning method, the best prediction model for early recurrence was obtained. This model had an area under the curve value of 0.845. Conclusion : By combining EF values with age or sex using machine learning methods, DSC perfusion MRI can be used to predict early recurrence before MVD surgery. This may help neurosurgeons to identify patients who are at risk of HFS recurrence and provide appropriate postoperative care.

Objective: : Hemifacial spasm (HFS) is treated by a surgical procedure called microvascular decompression (MVD). However, HFS re-appearing phenomenon after surgery, presenting as early recurrence, is experienced by some patients after MVD. Dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging (MRI) and two analytical methods : receiver operating characteristic (ROC) curve and machine learning, were used to predict early recurrence in this study. Methods: : This study enrolled 60 patients who underwent MVD for HFS. They were divided into two groups : group A consisted of 32 patients who had early recurrence and group B consisted of 28 patients who had no early recurrence of HFS. DSC perfusion MRI was undergone by all patients before the surgery to obtain the several parameters. ROC curve and machine learning methods were used to predict early recurrence using these parameters. Results: : Group A had significantly lower relative cerebral blood flow than group B in most of the selected brain regions, as shown by the region-of-interest-based analysis. By combining three extraction fraction (EF) values at middle temporal gyrus, posterior cingulate, and brainstem, with age, using naive Bayes machine learning method, the best prediction model for early recurrence was obtained. This model had an area under the curve value of 0.845. Conclusion : By combining EF values with age or sex using machine learning methods, DSC perfusion MRI can be used to predict early recurrence before MVD surgery. This may help neurosurgeons to identify patients who are at risk of HFS recurrence and provide appropriate postoperative care.

Objective To explore the construction of α-1,3-galactosyltransferase (GGTA1) gene-knockout (GTKO) Diannan miniature pigs and the kidney xenotransplantation from pigs to rhesus macaques, and to assess the effectiveness of GTKO pigs. Methods The GTKO Diannan miniature pigs were constructed using the CRISPR/Cas9 gene-editing system and somatic cell cloning technology. The phenotype of GTKO pigs was verified through polymerase chain reaction, Sanger sequencing and immunofluorescence staining. Flow cytometry was used to detect antigen-antibody (IgM) binding and complement-dependent cytotoxicity. Kidney xenotransplantation was performed from GTKO pigs to rhesus macaques. The humoral immunity, cellular immunity, coagulation and physiological indicators of the recipient monkeys were monitored. The function and pathological changes of the transplanted kidneys were analyzed using ultrasonography, hematoxylin-eosin staining, immunohistochemical staining and immunofluorescence staining. Results Single-guide RNA (sgRNA) targeting exon 4 of the GGTA1 gene in Diannan miniature pigs was designed. The pGL3-GGTA1-sgRNA1-GFP vector was transfected into fetal fibroblasts of Diannan miniature pigs. After puromycin selection, two cell clones, C59# and C89#, were identified as GGTA1 gene-knockout clones. These clones were expanded to form cell lines, which were used as donor cells for somatic cell nuclear transfer. The reconstructed embryos were transferred into the oviducts of trihybrid surrogate sows, resulting in 13 fetal pigs. Among them, fetuses F04 and F11 exhibited biallelic mutations in the GGTA1 gene, and F04 had a normal karyotype. Using this GTKO fetal pig for recloning and transferring the reconstructed embryos into the oviducts of trihybrid surrogate sows, seven surviving piglets were obtained, all of which did not express α-Gal epitope. The binding of IgM from the serum of rhesus monkey 20# to GTKO pig PBMC was reduced, and the survival rate of GTKO pig PBMC in the complement-dependent cytotoxicity assay was higher than that of wild-type pig. GTKO pig kidneys were harvested and perfused until completely white. After the left kidney of the recipient monkey was removed, the pig kidney was heterotopically transplanted. Following vascular anastomosis and blood flow restoration, the pig kidney rapidly turned pink without hyperacute rejection (HAR). Urine appeared in the ureter 6 minutes later, indicating successful kidney transplantation. The right kidney of the recipient was then removed. Seven days after transplantation, the transplanted kidney had good blood flow, the recipient monkey's serum creatinine level was stable, and serum potassium and cystatin C levels were effectively controlled, although they increased 10 days after transplantation. Seven days after transplantation, the levels of white blood cells, lymphocytes, monocytes and eosinophils in the recipient monkey increased, while platelet count and fibrinogen levels decreased. The activated partial thromboplastin time, thrombin time and prothrombin time remained relatively stable but later showed an upward trend. The recipient monkey survived for 10 days. At autopsy, the transplanted kidney was found to be congested, swollen and necrotic, with a small amount of IgG deposition in the renal tissue, and a large amount of IgM, complement C3c and C4d deposition, as well as CD68⁺ macrophage infiltration. Conclusions The kidneys of GTKO Diannan miniature pigs may maintain normal renal function for a certain period in rhesus macaques and effectively overcome HAR, confirming the effectiveness of GTKO pigs for xenotransplantation.

ObjectiveTo investigate the incidence rate of primary liver cancer （PLC） and the progression of liver fibrosis in chronic hepatitis B （CHB） patients with low-level viremia （LLV） （HBV DNA<2 000 IU/mL but ≥20 IU/mL） after treatment adjustment， and to provide more robust evidence for clinical practice. MethodsA retrospective analysis was performed for the clinical data of LLV patients who initially received nucleos（t）ide analogue （NAs） for at least 48 weeks at the Fifth Medical Center of PLA General Hospital from August 2007 to April 2017 and subsequently underwent NAs adjustment due to LLV， and according to the virologic response after 48 weeks of treatment adjustment， the patients were divided into LLV group and complete virological response （CVR） group （HBV DNA<20 IU/mL）. The patients were followed up once every 3‍ ‍—‍ ‍6 months till the primary endpoint event of PLC or October 2024. The incidence rate of PLC and the progression of liver fibrosis were observed， and the progression of liver fibrosis was defined as an increase of ≥1 grade in fibrosis-4 （FIB-4） index. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups； the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to calculate the cumulative incidence rate of PLC， and the Log-rank test was used for comparison between groups； the Cox regression analysis was used to investigate the risk factors for PLC， and the Logistic regression analysis was used to investigate the influencing factors for the progression of liver fibrosis. ResultsA total of 307 patients were enrolled， with a mean age of 50.0 years， and the male patients accounted for 80.5%. After 48 weeks of treatment with the adjusted NAs regimen， 254 patients （82.7%） achieved CVR， and 53 patients （17.3%） still had LLV. For the LLV group， the incidence rate of PLC was 30.2% and the rate of liver fibrosis progression was 22.6%， while for the CVR group， the incidence rate of PLC was only 13.4%， and the rate of liver fibrosis progression was 7.5%. The multivariate regression analyses showed that LLV was an independent risk factor for the onset of PLC （hazard ratio=2.623， 95% confidence interval ［CI］： 1.315‍ ‍—‍ ‍5.234， P=0.006） and the progression of liver fibrosis （odds ratio=3.213， 95%CI： 1.385‍ ‍—‍ ‍7.455， P=0.007）. ConclusionActive adjustment of treatment is needed immediately after the diagnosis of LLV to improve CVR， and if LLV persists after treatment adjustment， it is necessary to enhance the monitoring of liver fibrosis progression and PLC， so as to facilitate early diagnosis and treatment.

Objective To analyze the short-term survival and prognostic quality of life of patients with liver cirrhosis complicated by bacterial infection. Methods This study collected and analyzed 300 patients with liver cirrhosis complicated with infection who were hospitalized in the First Affiliated Hospital of Hebei North University, and followed up to discuss their survival and quality of life. Results In this study, the top two causes of infection were spontaneous bacterial peritonitis (60.67% of patients) and pneumonia (50.67% of patients). The second causes were urinary tract infections (15.33%), gastrointestinal infections (12.33%), and other causes. There was no statistically significant difference between male and female patients (P>0.05). In addition, the proportion of hospital infections was 71.00%, and there was no statistically significant difference between male and female patients (P>0.05). A total of 353 strains of pathogenic bacteria were isolated in this study (73.37% of patients with hospital infections). The distribution analysis of pathogenic bacteria showed that the highest proportion of ECO was 35.98%, followed by Klebsiella pneumoniae (18.98%). The distribution trend of 259 strains of pathogenic bacteria among hospital patients was consistent with that of all strains, and the difference was not statistically significant (P>0.05). Gram negative bacteria accounted for 79.60% (281/353) of all detected strains, of which Escherichia coli was mostly detected in patients with spontaneous bacterial peritonitis, Klebsiella Pneumoniae (KPN) and Pseudomonas aeruginosa (PAE) were mostly detected in patients with pneumonia, and Enterococcus (ENF) was mostly detected in patients with urinary tract infection; Among gram-negative bacteria, Staphylococcus epidermidis (SEP) and Staphylococcus aureus (SAU) are mostly found in patients with other infectious causes (blood flow infection, etc.) , and Streptococcus (STR) accounts for a high proportion in patients with Spontaneous bacterial peritonitis. In this study, 9 cases of death prognosis were detected during follow-up, and there was no statistically significant difference in the detection of death prognosis between different bacterial strains in both genders, as well as the difference in detection of death prognosis between hospital infections and out of hospital infections in both genders (P>0.05). There was no statistically significant difference in the detection of death prognosis between males and females due to different causes of infection, P>0.05. The quality of life scores of 291 surviving patients were compared between baseline and follow-up, indicating an increase in follow-up scores, especially in the dimensions of physiological function and physical pain. There was no statistically significant difference between different bacterial strains, infection causes, and hospital/non hospital infections (P>0.05) . Conclusion Spontaneous bacterial peritonitis and pneumonia are the main causes of infection that deserve special attention, and the main pathogens of infection are Gram negative bacteria. Targeted treatment and rehabilitation should be provided for patients with liver cirrhosis complicated by infection. At the same time, the proportion of hospital infections is relatively high, and attention should be paid to, prevention and control measures should be implemented as well.