To address the challenges faced by current brain midline segmentation techniques, such as insufficient accuracy and poor segmentation continuity, this paper proposes a deep learning network model based on a two-stage framework. On the first stage of the model, prior knowledge of the feature consistency of adjacent brain midline slices under normal and pathological conditions is utilized. Associated midline slices are selected through slice similarity analysis, and a novel feature weighting strategy is adopted to collaboratively fuse the overall change characteristics and spatial information of these associated slices, thereby enhancing the feature representation of the brain midline in the intracranial region. On the second stage, the optimal path search strategy for the brain midline is employed based on the network output probability map, which effectively addresses the problem of discontinuous midline segmentation. The method proposed in this paper achieved satisfactory results on the CQ500 dataset provided by the Center for Advanced Research in Imaging, Neurosciences and Genomics, New Delhi, India. The Dice similarity coefficient (DSC), Hausdorff distance (HD), average symmetric surface distance (ASSD), and normalized surface Dice (NSD) were 67.38 ± 10.49, 24.22 ± 24.84, 1.33 ± 1.83, and 0.82 ± 0.09, respectively. The experimental results demonstrate that the proposed method can fully utilize the prior knowledge of medical images to effectively achieve accurate segmentation of the brain midline, providing valuable assistance for subsequent identification of the brain midline by clinicians.
Humans ; Brain/diagnostic imaging* ; Deep Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Magnetic Resonance Imaging/methods* ; Neural Networks, Computer

OBJECTIVE: To explore the relationship between the geriatric nutritional risk index (GNRI) and cognitive function. METHODS: A cross-sectional study method was conducted. People aged ≥ 60 years from the National Health and Nutrition Examination Survey (NHANES) databases from 1999 to 2002 and 2011 to 2014 were included as study subjects. The participants were divided into three groups based on their GNRI scores: a medium-high risk group (82 ≤ GNRI < 92), a low risk group (92 ≤ GNRI < 98), and a no-risk group (GNRI ≥ 98). Demographic characteristics (gender, age, race, education), chronic diseases [chronic bronchitis, emphysema, thyroid problems, coronary heart disease, angina pectoris, stroke, hypertension, diabetes mellitus, and depression score on the patient health questionnaire (PHQ-9)], lifestyle habits (history of smoking, hours of sleep), etc., were collected. Cognitive function was assessed using the consortium to establish a registry for Alzheimer's disease word learning subtest (CERAD-WL), animal fluency test (AFT), and digit symbol substitution test (DSST) for the 2011-2014 data, while only the DSST was used for the 1999-2002 data. Differences in the above information among the GNRI cohorts were compared. Factors affecting cognitive function in the population were analyzed using multifactorial Logistic regression. RESULTS: 2 653 participants from 2011 to 2014 and 2 380 participants from 1999 to 2002 were enrolled, with a total of 5 033 participants in the study. There were statistically significant differences in age, stroke, diabetes mellitus, DSST score, AFT score, CERAD score test 1 recall (Cst1), and CERAD score test 2 recall (Cst2) among the GNRI groups. Multifactorial Logistic regression analysis of data from 2011 to 2014 showed that in model 3 (DSST score, age, gender, race, marriage, education, hours of sleep, history of smoking, emphysema, thyroid problems, chronic bronchitis, coronary heart disease, angina pectoris, hypertension, diabetes mellitus, depression score on the PHQ-9, and stroke) adjusted for all covariates, GNRI was a protective factor for DSST [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.00 to 1.05, P = 0.03]; Logistic regression analyse for 1999 to 2002 and 2011 to 2014 showed a significant association even after adjustment for covariates (OR = 1.02, 95%CI was 1.00 to 1.03, P = 0.02). Subgroup Logistic regression analyses of the total population from 2011 to 2014 showed a significant association between GNRI and DSST scores (OR = 1.02, 95%CI was 1.01 to 1.03, P < 0.001), with significant associations in the age subgroups of 60 to 64 years old, across gender, non-Hispanic Whites and Blacks, by education, and by marital status associations were significant (all P < 0.05). Subgroup Logistic regression analyse of the total populations from 1999 to 2002 and 2011 to 2014 showed a significant association between the GNRI and DSST score (OR = 1.01, 95%CI was 1.01 to 1.02, P < 0.001), but did not show a significant year difference (interaction P = 0.503), and the newly found in the smoking population the association was also more significant (P < 0.01). CONCLUSION The GNRI correlates with the presence of cognitive functions related to processing speed, sustained attention, and executive function, and may be able to serve as an indicator for the assessment or prediction of related cognitive functions.
Humans ; Cross-Sectional Studies ; Aged ; Middle Aged ; Nutrition Surveys ; Cognition ; Female ; Male ; Nutritional Status ; Risk Factors ; Geriatric Assessment

Recent studies have indicated that the expression of ubiquitin-specific protease 51 (USP51), a novel deubiquitinating enzyme (DUB) that mediates protein degradation as part of the ubiquitin‒proteasome system (UPS), is associated with tumor progression and therapeutic resistance in multiple malignancies. However, the underlying mechanisms and signaling networks involved in USP51-mediated regulation of malignant phenotypes remain largely unknown. The present study provides evidence of USP51's functions as the prominent DUB in chemoresistant triple-negative breast cancer (TNBC) cells. At the molecular level, ectopic expression of USP51 stabilized the 78 kDa Glucose-Regulated Protein (GRP78) protein through deubiquitination, thereby increasing its expression and localization on the cell surface. Furthermore, the upregulation of cell surface GRP78 increased the activity of ATP binding cassette subfamily B member 1 (ABCB1), the main efflux pump of doxorubicin (DOX), ultimately decreasing its accumulation in TNBC cells and promoting the development of drug resistance both in vitro and in vivo. Clinically, we found significant correlations among USP51, GRP78, and ABCB1 expression in TNBC patients with chemoresistance. Elevated USP51, GRP78, and ABCB1 levels were also strongly associated with a poor patient prognosis. Importantly, we revealed an alternative intervention for specific pharmacological targeting of USP51 for TNBC cell chemosensitization. In conclusion, these findings collectively indicate that the USP51/GRP78/ABCB1 network is a key contributor to the malignant progression and chemotherapeutic resistance of TNBC cells, underscoring the pivotal role of USP51 as a novel therapeutic target for cancer management.

Patients suffering from nerve injury often experience exacerbated pain responses and complain of memory deficits. The dorsal hippocampus (dHPC), a well-defined region responsible for learning and memory, displays maladaptive plasticity upon injury, which is assumed to underlie pain hypersensitivity and cognitive deficits. However, much attention has thus far been paid to intracellular mechanisms of plasticity rather than extracellular alterations that might trigger and facilitate intracellular changes. Emerging evidence has shown that nerve injury alters the microarchitecture of the extracellular matrix (ECM) and decreases ECM rigidity in the dHPC. Despite this, it remains elusive which element of the ECM in the dHPC is affected and how it contributes to neuropathic pain and comorbid cognitive deficits. Laminin, a key element of the ECM, consists of α-, β-, and γ-chains and has been implicated in several pathophysiological processes. Here, we showed that peripheral nerve injury downregulates laminin β1 (LAMB1) in the dHPC. Silencing of hippocampal LAMB1 exacerbates pain sensitivity and induces cognitive dysfunction. Further mechanistic analysis revealed that loss of hippocampal LAMB1 causes dysregulated Src/NR2A signaling cascades via interaction with integrin β1, leading to decreased Ca²⁺ levels in pyramidal neurons, which in turn orchestrates structural and functional plasticity and eventually results in exaggerated pain responses and cognitive deficits. In this study, we shed new light on the functional capability of hippocampal ECM LAMB1 in the modulation of neuropathic pain and comorbid cognitive deficits, and reveal a mechanism that conveys extracellular alterations to intracellular plasticity. Moreover, we identified hippocampal LAMB1/integrin β1 signaling as a potential therapeutic target for the treatment of neuropathic pain and related memory loss.
Animals ; Laminin/genetics* ; Hippocampus/metabolism* ; Neuralgia/metabolism* ; Cognitive Dysfunction/etiology* ; Male ; Peripheral Nerve Injuries/metabolism* ; Extracellular Matrix/metabolism* ; Integrin beta1/metabolism* ; Pyramidal Cells/metabolism* ; Signal Transduction

In January 2021, a young male patient was admitted to the Department of Hand Surgery, Suzhou Ruihua Orthopeadic Hospital for a soft tissue degloving defect of distal segment of right thumb caused by machine compression. The thumb defect was reconstructed using a tiled flap with a right hallux nail flap and a lateral flap of left second toe. Donor site of the hallux nail flap was reconstructed by a lateral flap of right second toe, while the donor site of lateral flap of left second toe was covered by a skin graft of abdomen. At 1-year follow-up, the reconstructed nail was found excellent according to the established criteria. Two-point discrimination (TPD) was measured at 5 mm, and the affected thumb exhibited satisfactory flexion and extension and functions of thumb-to-palm and thumb-to-fingers oppositions. Donor sites in both feet achieved favorable appearance and function, with a Maryland foot score of 96. Only a linear scar was in abdominal donor site.

Image 1.

The Diagnosis-Intervention Packet(DIP)payment exerts notable effects on hospitals' economic operations.As centralized hubs of high-quality medical resources,tertiary hospitals face a functional mismatch with the provision of services for primary care diseases.By analyzing the admission and payment practices for primary care diseases in sample hospitals in Henan Province,it identifies key challenges,including inadequate alignment between healthcare payment reform policies and management systems,weak foundational capabilities in hospital health insurance informatization,and insufficient awareness of health insurance policies among medical staff.It is recommended that hospitals should strengthen communication and coordination with health insurance administration agencies to foster positive interactions between healthcare providers and insurers;continuously advance in-house health insurance informatization and enhance data governance capabilities;improve strategic awareness and innovate value-based health insurance management models.

Subarachnoid hemorrhage(SAH)is a major subtype of stroke,characterized by high mortality and disability rates.Pyroptosis,a form of programmed cell death,has been identified as a key pathological process in early brain injury.Current research indicates that pyroptosis can occur in neurons,microglia,astrocytes,and cerebral vascular endothelial cells after SAH,leading to neurological dysfunction,brain edema,and disruption of the blood-brain barrier.The NOD-like receptor protein 3(NLRP3)inflammasome is regarded as a central regulatory component of pyroptosis,and its activation mechanisms and roles in various cell types have become focal points of research.A variety of therapeutic strategies targeting this pathway have emerged,including NLRP3 inhibitors,Caspase-1 inhibitors,and Gasdermin-D inhibitors.The aforemenetioned approaches all have demonstrated efficacy in animal studies.Additionally,novel technologies such as stem cell therapy,exosome therapy,and gas therapy offer novel intervention approaches for modulating pyroptosis.Although,various therapeutic strategies targeting pyroptosis-related pathways have emerged in recent years,a comprehensive summary remains absent.This article reviewed the advancements in pyroptosis research following SAH and associated treatment strategies,aiming to provide a theoretical foundation for subsequent mechanistic studies and clinical translation.

Objective To investigate the biological function of the proprotein convertase subtilisin/kexin type 9(PCSK9)in prostate cancer(PCa)and its effect on ferroptosis sensitivity Methods Bioinformatics was used to analyze the relationship between the expression of PCSK9 and the prognosis of prostate cancer.The expression of PCSK9 in PCa cell lines were detected using RT-qPCR.PCa cells with PCSK9 knockdown were constructed using siRNA,and the The effect of PCSK9 on cell proliferation,migration,and invasion were detected using CCK-8 assays and Transwell assays.The Cancer Therapeutics Response Portal(CTRP)was employed to investigate the correlation between PCSK9 and ferroptosis drug sensitivity,and PCa cells with PCSK9 knockdown were treated with the ferroptosis inducer(RSL3)to detect the sensitivity to ferroptosis.Results Bioinformatics showed low expression of PCSK9 had longer disease specific survival(P<0.05).The results of the in vitro experiments showed that PCSK9 knockdown significantly inhibited the proliferation,migration,and invasion of PCa cells(P<0.001).Furthermore,CTRP analysis showed that cellular sensitivity to ferroptosis inducers correlated with the expression level of PCSK9.PCSK9 knockdown cells exhibited higher sensitivity to the ferroptosis inducer RSL3.Conclusion Knockdown of PCSK9 inhibits the proliferation,migration,and invasion of PCa cells,and increases the sensitivity of cells to ferroptosis inducers.PCSK9 may provide new insights for the treatment of PCa.