OBJECTIVE: Patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection frequently develop central nervous system damage, yet the mechanisms driving this pathology remain unclear. This study investigated the primary pathways and key factors underlying brain tissue damage induced by the SARS-CoV-2 beta variant (lineage B.1.351). METHODS: K18-hACE2 and C57BL/6 mice were intranasally infected with the SARS-CoV-2 beta variant. Viral replication, pathological phenotypes, and brain transcriptomes were analyzed. Gene Ontology (GO) analysis was performed to identify altered pathways. Expression changes of host genes were verified using reverse transcription-quantitative polymerase chain reaction and Western blot. RESULTS: Pathological alterations were observed in the lungs of both mouse strains. However, only K18-hACE2 mice exhibited elevated viral RNA loads and infectious titers in the brain at 3 days post-infection, accompanied by neuropathological injury and weight loss. GO analysis of infected K18-hACE2 brain tissue revealed significant dysregulation of genes associated with innate immunity and antiviral defense responses, including type I interferons, pro-inflammatory cytokines, Toll-like receptor signaling components, and interferon-stimulated genes. Neuroinflammation was evident, alongside activation of apoptotic and pyroptotic pathways. Furthermore, altered neural cell marker expression suggested viral-induced neuroglial activation, resulting in caspase 4 and lipocalin 2 release and disruption of neuronal molecular networks. CONCLUSION These findings elucidate mechanisms of neuropathogenicity associated with the SARS-CoV-2 beta variant and highlight therapeutic targets to mitigate COVID-19-related neurological dysfunction.
Animals ; COVID-19/genetics* ; Mice ; Brain/metabolism* ; Apoptosis ; Mice, Inbred C57BL ; SARS-CoV-2/physiology* ; Pyroptosis ; Gene Expression Profiling ; Transcriptome ; Male ; Female

The lack of clear definition and classification for “moderate ulcerative colitis (UC)” creates ambiguity regarding the suitability of step-up versus top-down treatment approaches. In this paper, experts address crucial gaps in assessing and managing moderate UC. The Asia-Pacific, Middle East, and Africa Inflammatory Bowel Disease Coalition comprised 24 experts who convened to share, discuss and vote electronically on management recommendations for moderate UC. Experts emphasized that the goal of treating UC is to attain clinical, biomarker, and endoscopic remission using cost-effective strategies such as 5-aminosalicylates (5-ASAs), well-tolerated therapy that can be optimized to improve outcomes. Experts agreed that 5-ASA therapy could be optimized by maximizing dosage (4 g/day for induction of remission), combining oral and topical administration, extending treatment duration beyond 8 weeks, and enhancing patient adherence through personalized counselling and reduced pill burden. Treatment escalation should ideally be reserved for patients with predictors of aggressive disease or those who do not respond to 5-ASA optimization. Premature treatment escalation to advanced therapies (including biologics and oral small molecules) may have long-term health and financial consequences. This paper provides consensus-based expert recommendations and a treatment algorithm, based on current evidence and practices, to assist decision-making in real-world settings.

The lack of clear definition and classification for “moderate ulcerative colitis (UC)” creates ambiguity regarding the suitability of step-up versus top-down treatment approaches. In this paper, experts address crucial gaps in assessing and managing moderate UC. The Asia-Pacific, Middle East, and Africa Inflammatory Bowel Disease Coalition comprised 24 experts who convened to share, discuss and vote electronically on management recommendations for moderate UC. Experts emphasized that the goal of treating UC is to attain clinical, biomarker, and endoscopic remission using cost-effective strategies such as 5-aminosalicylates (5-ASAs), well-tolerated therapy that can be optimized to improve outcomes. Experts agreed that 5-ASA therapy could be optimized by maximizing dosage (4 g/day for induction of remission), combining oral and topical administration, extending treatment duration beyond 8 weeks, and enhancing patient adherence through personalized counselling and reduced pill burden. Treatment escalation should ideally be reserved for patients with predictors of aggressive disease or those who do not respond to 5-ASA optimization. Premature treatment escalation to advanced therapies (including biologics and oral small molecules) may have long-term health and financial consequences. This paper provides consensus-based expert recommendations and a treatment algorithm, based on current evidence and practices, to assist decision-making in real-world settings.

The lack of clear definition and classification for “moderate ulcerative colitis (UC)” creates ambiguity regarding the suitability of step-up versus top-down treatment approaches. In this paper, experts address crucial gaps in assessing and managing moderate UC. The Asia-Pacific, Middle East, and Africa Inflammatory Bowel Disease Coalition comprised 24 experts who convened to share, discuss and vote electronically on management recommendations for moderate UC. Experts emphasized that the goal of treating UC is to attain clinical, biomarker, and endoscopic remission using cost-effective strategies such as 5-aminosalicylates (5-ASAs), well-tolerated therapy that can be optimized to improve outcomes. Experts agreed that 5-ASA therapy could be optimized by maximizing dosage (4 g/day for induction of remission), combining oral and topical administration, extending treatment duration beyond 8 weeks, and enhancing patient adherence through personalized counselling and reduced pill burden. Treatment escalation should ideally be reserved for patients with predictors of aggressive disease or those who do not respond to 5-ASA optimization. Premature treatment escalation to advanced therapies (including biologics and oral small molecules) may have long-term health and financial consequences. This paper provides consensus-based expert recommendations and a treatment algorithm, based on current evidence and practices, to assist decision-making in real-world settings.

Objective To explore the predictive value of dose surface histogram(DSH)in image guided radiotherapy(IGRT)for radiotherapy-induced acute radiation proctitis(ARP)in cervical cancer(CCA).Methods Totally 380 patients with CCA IGRT admitted to some hospital from May 2019 to May 2023 were selected prospectively and randomly divided into a control group(n=1 80)and an experimental group(n=200).The patients in the 2 groups were followed up and the incidence rates of ARP were counted,and rectal dose distribution was evaluated using dose volume histogram(DVH)in the control group and DSH in the experimental group.The predictive values of DVH and DSH for ARP were evaluated and compared using ROC curves.Statistical analysis was performed using SPSS 21.0 software.Results The two groups did not have statistically significant difference in the incidence rate of ARP(P＞0.05),while there were significant differences in the evaluation indicators of the rectal dose distribution(P＜0.05).V40,V50,S40 and S50 proved to have low predictive values for grade Ⅰ-Ⅳ ARP with AUC 0.700(P＜0.05);V60 and S60 had moderate predictive values for grade Ⅰ-Ⅳ ARP with AUC greater than 0.700 and less than or equal to 0.900(P＜0.05);V70,V78,S70 and S7s showed high predictive values for grade Ⅰ-Ⅳ ARP with AUC higher than 0.900(P＜0.05).Delong's test results indicated that DVH and DSH had no significant differences in AUC when used to predict gradeⅠ-Ⅳ ARP(allP＞0.05).Conclusion DSH is essentially the same as DVH when used for the prediction of grade Ⅰ-Ⅳ ARP due to CCA IGRT,and thus can be used for the supplementation and optimization of radiotherapy planning systems.[Chinese Medical Equipment Journal,2025,46(3):48-53]

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Aim To construct an mBSA/IL-1 β-induced inflam-matory monoarthritis model,and to explore the differences in the inflammatory monoarthritis mouse model induced by recombinant human IL-1 β and recombinant mouse IL-1 β combined with mB-SA,providing experimental evidence for the study of the patho-genesis and drug treatment of arthritis.Methods Twenty C57BL/6 mice were randomly divided into two groups,with the left knee joints as the model joints.One group was the mBSA+recombinant human IL-1β group(n=10),and the other was the mBSA+recombinant mouse IL-1β group(n=10).The de-gree of knee joint swelling and body weight changes in mice were observed.HE staining was used to detect the pathological chan-ges in the knee joints,and safranin O staining for the cartilage damage in the knee joints,and immunohistochemistry for the ex-pression of macrophages in the synovial tissue of the knee joints.Results Compared with the control joints(right knee joints),joint swelling occurred in the left knee joints of both groups of mice.Compared with the recombinant mouse IL-1β group,body weight of the mice in the recombinant human IL-1 β group de-creased more significantly,the pathology and cartilage damage of the knee joints were significantly higher,and the number of macrophages in the synovial tissue of the left knee joints in-creased significantly.Conclusion Recombinant human IL-1 βand recombinant mouse IL-1 β combined with mBSA induce in-flammatory monoarthritis in C57BL/6 mice.Compared with re-combinant mouse IL-1β,the arthritis induced by recombinant human IL-1β is more severe,suggesting that recombinant human IL-1β combined with mBSA is more conducive to the establish-ment of the inflammatory monoarthritis model.

Isoflavones which mainly distributed in leguminous plants have plenty of health benefits.Isoflavone synthase(IFS)is a membrane-associated cytochrome P450 enzyme(CYP450)which carries out the unique aryl-ring migration and hydroxylation.So far,few crystal structures of plant P450s have been obtained.We determined the crystal structure of IFS from Medicago truncatula at 1.9 ? by MAD method using a selenomethionine substituted crystal and conducted molecular docking and mutagenesis study.The structure of IFS complexed with imidazole exhibits the helix Ⅰa-loop-helix Ⅰβ motif which cor-responds to helix Ⅰ of other P450s.Compared with structures of common P450s,IFS/imidazole structure contains an extra domain,i.e.,the γ-domain.The structure reveals a homodimer in which the γ-domain of one molecule interacts with the β-domain of another.The plane of heme group makes an angle of ap-proximately 40° with the helix Ⅰa-loop-helix Ⅰβ motif.Molecular docking combined with mutagenesis study suggested that Trp-128 and Asp-300 might play important roles in substrate binding and recogni-tion.Phe-301,Ser-303 and Gly-305 from the helix Ⅰa-loop-helix Ⅰβ motif may play important roles in the aryl-ring migration.These novel structural features reveal insights into the unique reaction mechanism of IFS and provide a basis for engineering IFS in leguminous crops for health purpose.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.