BACKGROUND:As a multifunctional histone acetyltransferase,E1A binding protein P300(EP300)is widely involved in biological processes such as gene expression regulation,cell growth and differentiation,and has been associated with a variety of inflammatory and immune-related diseases.However,its specific role in the pathogenesis of allergic rhinitis is unclear.OBJECTIVE:To explore the changes in gene expression related to allergic rhinitis,analyze its association with programmed cell death,and search for potential biomarkers and therapeutic targets.METHODS:(1)Gene expression data of patients with allergic rhinitis and the control group were collected from the GSE51392,GSE43523 and GSE206149 datasets.Differentially expressed genes were screened and weighted gene co-expression network analysis was performed.(2)From March 2022 to May 2024,10 patients with allergic rhinitis who underwent vidian neurectomy and 10 healthy controls were recruited from the Fifth Affiliated Hospital of Xinjiang Medical University.Blood and nasal mucosal tissue samples were collected from the patients before and after surgery.(3)A rat model of allergic rhinitis was established and EP300 was knocked down.The rats were divided into control group,model group,model+shEP300-NC group,and model+shEP300 group.ELISA,hematoxylin-eosin staining,RT-qPCR and western blot assay were used to detect the levels of inflammatory factors,pathological changes in nasal mucosal tissues,and the expression of related genes and proteins.RESULTS AND CONCLUSION:(1)A total of 43 intersection genes were identified between allergic rhinitis and the control group.Weighted gene co-expression network analysis revealed that the Green module was strongly correlated with allergic rhinitis.Through intersection analysis with genes related to programmed cell death and common differentially expressed genes,the key gene EP300 was obtained.(2)Compared with the preoperative status of patients with allergic rhinitis,the levels of interleukin-4,interleukin-5,interleukin-13,EP300,LC3B,Beclin1,cleaved-Caspase were significantly decreased,while the expressions of p62 and Bcl2 in nasal mucous tissue were significantly increased after surgery.(3)Compared with the control group,the levels of interleukin-4,interleukin-5,interleukin-13,EP300,LC3B,Beclin1,and cleaved-Caspase were significantly increased,while the expressions of p62 and Bcl2 in nasal mucous tissue were significantly decreased in the model group.Compared with the model group,the above indicators had opposite changes.To conclude,EP300 can participate in allergic rhinitis by regulating inflammation,autophagy and apoptosis.

BACKGROUND:As a multifunctional histone acetyltransferase,E1A binding protein P300(EP300)is widely involved in biological processes such as gene expression regulation,cell growth and differentiation,and has been associated with a variety of inflammatory and immune-related diseases.However,its specific role in the pathogenesis of allergic rhinitis is unclear.OBJECTIVE:To explore the changes in gene expression related to allergic rhinitis,analyze its association with programmed cell death,and search for potential biomarkers and therapeutic targets.METHODS:(1)Gene expression data of patients with allergic rhinitis and the control group were collected from the GSE51392,GSE43523 and GSE206149 datasets.Differentially expressed genes were screened and weighted gene co-expression network analysis was performed.(2)From March 2022 to May 2024,10 patients with allergic rhinitis who underwent vidian neurectomy and 10 healthy controls were recruited from the Fifth Affiliated Hospital of Xinjiang Medical University.Blood and nasal mucosal tissue samples were collected from the patients before and after surgery.(3)A rat model of allergic rhinitis was established and EP300 was knocked down.The rats were divided into control group,model group,model+shEP300-NC group,and model+shEP300 group.ELISA,hematoxylin-eosin staining,RT-qPCR and western blot assay were used to detect the levels of inflammatory factors,pathological changes in nasal mucosal tissues,and the expression of related genes and proteins.RESULTS AND CONCLUSION:(1)A total of 43 intersection genes were identified between allergic rhinitis and the control group.Weighted gene co-expression network analysis revealed that the Green module was strongly correlated with allergic rhinitis.Through intersection analysis with genes related to programmed cell death and common differentially expressed genes,the key gene EP300 was obtained.(2)Compared with the preoperative status of patients with allergic rhinitis,the levels of interleukin-4,interleukin-5,interleukin-13,EP300,LC3B,Beclin1,cleaved-Caspase were significantly decreased,while the expressions of p62 and Bcl2 in nasal mucous tissue were significantly increased after surgery.(3)Compared with the control group,the levels of interleukin-4,interleukin-5,interleukin-13,EP300,LC3B,Beclin1,and cleaved-Caspase were significantly increased,while the expressions of p62 and Bcl2 in nasal mucous tissue were significantly decreased in the model group.Compared with the model group,the above indicators had opposite changes.To conclude,EP300 can participate in allergic rhinitis by regulating inflammation,autophagy and apoptosis.

Objective: To explore the developmental trajectories of depression in children and adolescents and their association with family types, and to analyze the role of being an only child in the context, so as to provide a basis for early identification of mental health issues in children and adolescents. Methods: The study was a secondary analysis based on the existing database of the Jiangsu Provincial Student Common Diseases and Health Influencing Factors Monitoring and Intervention Project. A total of 11 502 students who had completed at least two measurements using the Chinese version of the Center for Epidemiologic Studies Depression Scale (CES-D) between 2022 and 2024, and had complete information on family type, gender, and age, were selected as the study subjects. Latent class trajectory modeling was used to identify depression developmental trajectories. Multinomial Logistic regression was applied to analyze the association between family type and depression developmental trajectories, and the interaction effect of family type and being an only child was tested. Results: Three types of depression developmental trajectories were identified among children and adolescents: low stable type (91.3%, 10 504 students), moderate rising type (4.3%, 500 students), and high declining type (4.3%, 498 students). Significant differences were observed among the different trajectory groups in terms of gender, age, parental education level, family type, baseline CES-D score, and baseline school type ( χ 2/H=17.48, 139.97, 19.72 , 30.77, 1 081.35, 220.81, all P <0.05). Multinomial Logistic regression analysis showed that, using the low stable type as the reference trajectory group and the nuclear family as the reference family type, after adjusting for confounding factors such as gender, age, and parental education level, single parent families ( OR=1.87, 95%CI= 1.16-3.03) and grandparent headed families ( OR=1.83, 95%CI =1.04-3.21) were significantly associated with the high declining type trajectory (both P <0.05). No significant association was found between family type and the moderate rising type trajectory (all P >0.05). The interaction effect between family type and being an only child was not statistically significant ( LRT=7.71, df=8, P =0.46). Conclusions Depressive symptoms in children and adolescents show heterogeneous developmental patterns during school age. Children and adolescents from single parent and intergenerational families are more likely to follow the high decreasing trajectory.

Objective To predict the active components and pharmacological mechanism of F.liquidambaris in the treatment of tumor based on the network pharmacology and molecular docking. Methods The active components of F.liquidambaris were obtained by literature mining and TCMSP database. The potential targets of the active components were predicted by SwissTargetPrediction. The related targets of tumor were screened through GeneCards, OMIM, TTD, DrugBank databases. The common target sites between F.liquidambaris and tumor were obtained after getting the intersection. Through the String database combined with cytoscape software, the treatment of tumor key targets were screened by network topology parameter analysis. In addition, Metascape database was used to perform the gene ontology enrichment analysis and Tokyo Encyclopedia Enrichment analysis of the key targets for the treatment of tumor, and “component-target-pathway” network diagram was constructed. Through AutoDock Vina software, the molecular docking between the active components and targets of F.liquidambaris was verified. Results 6 active components of F.liquidambaris,29 targets related to tumor were screened out. The results of network analysis showed that F.liquidambaris might play an anti-tumor role by acting on key targets such as TP53, JUN, CASP3, ESR1, PTGS2, CASP9, CASP8 and PPARG. By KEGG enrichment analysis, targets were mainly enriched in cancer pathway, apoptosis pathway,PI3K-Akt signaling pathway, colorectal cancer pathway, small cell lung cancer pathway, P53 signaling pathway and other related pathways, involving cellular response to organic cyclic compound, apoptosis signaling pathway, hematopoiesis and other biological processes. The results of molecular docking showed that key targets and active components could be docked well, the best docking was PTGS2-isostyracin epoxide. Conclusion This study preliminarily revealed that F.liquidambari had the advantages of multiple components, multiple targets and multiple pathways in the treatment of tumor, which provided a new idea and direction for the subsequent experimental research.

Objective To investigate the epidemiological characteristics of lymphoma mortality and potential years of life lost among Wuhan residents, and to provide a scientific basis for the prevention and control of lymphoma. Methods Data on lymphoma deaths among residents in Wuhan from 2010 to 2019 were collected from the population-based Wuhan Mortality Surveillance System. Joinpoint regression model was used to evaluate the trends in age-standardized mortality rates and potential years of life lost due to lymphoma among the residents of different ages and genders. Potential years of life lost rate was used to assess the disease burden. Results There were 4 055 deaths (2481in male and 1 574 in female) from major kidney diseases in Wuhan residents between 2010 to 2019, with an age-standardized mortality rate of 5.11/100 000. The mortality rate of major kidney diseases showed an upward trend with increasing age. Between 2010 and 2019, the age-standardized mortality rates of the multiple myeloma and non-Hodgkin lymphoma were significantly increased (APC=6.924%, APC=1.407%, P＜0.05), and the potential years of life lost rate of non-Hodgkin lymphoma in female were significantly increased (APC=7.935%，P＜0.05). Conclusion From 2010 to 2019, the mortality rate of lymphoma among residents of Wuhan City shows an upward trend, especially for multiple myeloma and non-Hodgkin lymphoma. The disease burden of multiple myeloma shows an increasing trend in the female population, suggesting the need to take corresponding preventive and control measures.

Objective Magnetoreception, the remarkable ability of diverse animals to sense and utilize the geomagnetic field for orientation and navigation, remains a molecularly unresolved mystery in sensory biology. The putative magnetoreceptor (MagR, previously known as IscA1) is a highly conserved iron-sulfur protein implicated in both magnetoreception and iron metabolism; however, the functional diversity among its cross-species homologs remains poorly understood. Cellular morphology is a key genetically determined trait that can be altered through genetic or environmental modifications—a process known as cell morphology engineering. Constructing engineered cells with specific morphological features and magnetic sensitivity to achieve remote, non-invasive magnetic modulation represents a crucial goal in this field with significant application potential. Therefore, this study aims to systematically investigate the effects of MagR heterologous expression on bacterial morphology and magnetic sensing capabilities, screen for MagR-based magnetically sensitive morphology engineering pathways, and reveal the underlying molecular mechanisms. Methods We systematically screened 28 MagR homologous genes from diverse prokaryotic and animal taxa to evaluate their expression and corresponding phenotypic effects in Escherichia coli (E. coli). To compare the differential magnetic responses among bacteria expressing various recombinant MagR proteins, we utilized high-throughput automated bright-field microscopic imaging and scanning electron microscopy (SEM). Furthermore, comprehensive biochemical and biophysical characterizations of iron and iron-sulfur cluster binding were performed using Ferrozine colorimetric assays, electron paramagnetic resonance (EPR) spectroscopy, ultraviolet-visible (UV-Vis) absorption, and circular dichroism (CD) spectroscopy. Additionally, 100 mT static magnetic field (SMF) exposure experiments were conducted to assess magnetically tunable phenotypes, while the intrinsic magnetic properties of purified MagR proteins were directly measured using a superconducting quantum interference device (SQUID) magnetometer. Results Our results demonstrated that the heterologous expression of MagR homologs induced varying degrees of bacterial filamentation. From this comprehensive screen, two distinct morphological patterns were identified: hydra (Hydra vulgaris) MagR (hyMagR) promoted uniform cell elongation and filamentation, exhibiting robust magnetic sensitivity manifested as significantly enhanced filamentation under the 100 mT SMF. In contrast, pigeon (Columba livia) MagR (clMagR) induced only low-frequency, extreme filamentation (sporadically exceeding 80 μm) with a relatively weaker magnetic morphological response. Mechanistically, our data unambiguously proved that these phenotypic differences are primarily driven by distinct iron redox preferences rather than total cellular iron accumulation. Specifically, hyMagR preferentially binds ferrous iron (Fe²⁺), whereas clMagR favors ferric iron (Fe³⁺) and forms more stable iron-sulfur clusters. Intriguingly, although SQUID magnetometry showed that purified clMagR exhibited approximately five-fold higher mass magnetic susceptibility than hyMagR, its cellular magnetic response was weaker. We hypothesize that the Fe²⁺-preferred intracellular environment associated with hyMagR overexpression primes the cell for enhanced generation of reactive oxygen species (ROS) via the Fenton reaction. Exposure to an SMF synergizes with this primed redox state, triggering the bacterial SOS response and upregulating cell division inhibitors to efficiently induce uniform filamentation. Conclusion Our findings identify the Fe²⁺/Fe³⁺ redox state as a critical determinant of MagR-mediated morphological remodeling and magnetic responsiveness. This discovery suggests a potential strategy for engineering magnetically responsive cellular systems for synthetic biology applications, and provides a plausible framework, which potentially combines intrinsic protein magnetism with redox-state modulation, for further investigating the evolutionary mechanisms of MagR-mediated magnetoreception.

Objective Magnetoreception, the remarkable ability of diverse animals to sense and utilize the geomagnetic field for orientation and navigation, remains a molecularly unresolved mystery in sensory biology. The putative magnetoreceptor (MagR, previously known as IscA1) is a highly conserved iron-sulfur protein implicated in both magnetoreception and iron metabolism; however, the functional diversity among its cross-species homologs remains poorly understood. Cellular morphology is a key genetically determined trait that can be altered through genetic or environmental modifications—a process known as cell morphology engineering. Constructing engineered cells with specific morphological features and magnetic sensitivity to achieve remote, non-invasive magnetic modulation represents a crucial goal in this field with significant application potential. Therefore, this study aims to systematically investigate the effects of MagR heterologous expression on bacterial morphology and magnetic sensing capabilities, screen for MagR-based magnetically sensitive morphology engineering pathways, and reveal the underlying molecular mechanisms. Methods We systematically screened 28 MagR homologous genes from diverse prokaryotic and animal taxa to evaluate their expression and corresponding phenotypic effects in Escherichia coli (E. coli). To compare the differential magnetic responses among bacteria expressing various recombinant MagR proteins, we utilized high-throughput automated bright-field microscopic imaging and scanning electron microscopy (SEM). Furthermore, comprehensive biochemical and biophysical characterizations of iron and iron-sulfur cluster binding were performed using Ferrozine colorimetric assays, electron paramagnetic resonance (EPR) spectroscopy, ultraviolet-visible (UV-Vis) absorption, and circular dichroism (CD) spectroscopy. Additionally, 100 mT static magnetic field (SMF) exposure experiments were conducted to assess magnetically tunable phenotypes, while the intrinsic magnetic properties of purified MagR proteins were directly measured using a superconducting quantum interference device (SQUID) magnetometer. Results Our results demonstrated that the heterologous expression of MagR homologs induced varying degrees of bacterial filamentation. From this comprehensive screen, two distinct morphological patterns were identified: hydra (Hydra vulgaris) MagR (hyMagR) promoted uniform cell elongation and filamentation, exhibiting robust magnetic sensitivity manifested as significantly enhanced filamentation under the 100 mT SMF. In contrast, pigeon (Columba livia) MagR (clMagR) induced only low-frequency, extreme filamentation (sporadically exceeding 80 μm) with a relatively weaker magnetic morphological response. Mechanistically, our data unambiguously proved that these phenotypic differences are primarily driven by distinct iron redox preferences rather than total cellular iron accumulation. Specifically, hyMagR preferentially binds ferrous iron (Fe²⁺), whereas clMagR favors ferric iron (Fe³⁺) and forms more stable iron-sulfur clusters. Intriguingly, although SQUID magnetometry showed that purified clMagR exhibited approximately five-fold higher mass magnetic susceptibility than hyMagR, its cellular magnetic response was weaker. We hypothesize that the Fe²⁺-preferred intracellular environment associated with hyMagR overexpression primes the cell for enhanced generation of reactive oxygen species (ROS) via the Fenton reaction. Exposure to an SMF synergizes with this primed redox state, triggering the bacterial SOS response and upregulating cell division inhibitors to efficiently induce uniform filamentation. Conclusion Our findings identify the Fe²⁺/Fe³⁺ redox state as a critical determinant of MagR-mediated morphological remodeling and magnetic responsiveness. This discovery suggests a potential strategy for engineering magnetically responsive cellular systems for synthetic biology applications, and provides a plausible framework, which potentially combines intrinsic protein magnetism with redox-state modulation, for further investigating the evolutionary mechanisms of MagR-mediated magnetoreception.

ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

This article systematically reviews and verifies the name， origin， production area， quality evaluation， harvesting， processing and other aspects of Cynanchi Atrati Radix et Rhizoma（CARR） by consulting relevant ancient and modern literature， in order to provide a basis for the development and utilization of famous classical formulas containing this herb. Through textual research， Baiwei has been the official name for CARR， though it also bears alternative names such as Chuncao， Popo Zhenxianbao， Longdan Baiwei. The mainstream base is the roots and rhizomes of Cynanchum atratum. Historical records indicate primary producing areas include Shandong， Anhui， Jiangsu， Shaanxi and Shanxi. Since the late Ming dynasty， varieties from Juxian， Yishui and Rizhao in Shandong have been highly regarded as authentic， commonly known as eastern Baiwei. Since modern times， its quality has been summarized as fine， slender， and straight fibrous roots， pale yellow exterior， whiter interior， and dryness with easy breakability are considered superior. The harvesting time before the Song dynasty was on the third day of the third lunar month， but after the Song dynasty， harvesting was possible in both spring and autumn. The initial processing methods of CARR in ancient times included drying in the shade， removing Lu（the little rhizomes which are on tap of roots）， and removing mustaches， modern methods involve washing and sun-drying. During the Northern and Southern dynasties， processing methods included steaming. In the Song dynasty， drying and light stir-frying were predominant， while wine washing emerged in the Ming dynasty. Modern practices primarily involve using raw， stir-frying or honey processing. Regarding the medicinal properties of CARR， both ancient and modern texts agree it has a bitter and salty taste and is non-toxic. Records prior to the Qing dynasty predominantly describe its nature as extremely cold， while mainstream herbal texts after the Qing dynasty generally characterize it as cold. Before the Ming dynasty， there were no records of its meridian tropism. It was not until the Qing dynasty that it was recorded in the lung meridian. Modern records mainly refer to the stomach， liver， and kidney meridians. Throughout history， its main functions have been to clear heat， diuresis， nourish Yin， and replenish essence， primarily treating Yin deficiency and fever syndrome. Based on the research results， it is suggested that when developing famous classical formulas containing CARR， the dried roots and rhizomes of C. atratum can be selected as its medicinal source. If there are no specific processing requirements， raw products can be selected as medicine. If the processing requirements are specified， corresponding processed products can be selected as medicine according to the original formula requirements.

Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.