Objective To investigate the risk factors for abnormal cardiac function in patients with hepatolenticular degeneration （also known as Wilson disease ，WD） using cardiac magnetic resonance imaging （CMR）， and to identify indicators with a value for early diagnosis. Methods Patients diagnosed with WD were randomly selected to undergo CMR examination， and based on CMR findings， they were divided into abnormal group and normal group. A univariate analysis was used to obtain potential risk factors， then a multivariate logistic regression analysis was performed for variables with a significant difference， and finally the receiver operating characteristic （ROC） curve analysis was performed for the independent risk factors identified. Results A total of 42 WD patients were enrolled， with 21 in the abnormal CMR group and 21 in the normal CMR group. Compared with the normal CMR group， the abnormal CMR group had a significantly higher age and significantly higher levels of total bilirubin， serum copper， and peak 24-hour urinary copper during treatment. The multivariate Logistic regression analysis showed that white blood cell count （WBC） （OR=2.927， 95%CI 1.127‒7.839， P=0.028）， serum copper（OR=3.822， 95%CI 1.108‒13.178， P=0.034）， and type Ⅳ collagen （OR=1.097， 95%CI 1.011‒1.191，P=0.027） were independent risk factors for CMR abnormalities in WD patients. The ROC curve analysis showed that among the above three indicators used alone， serum copper had the highest diagnostic value with an area under the ROC curve （AUC） of 0.713， followed by WBC（AUC=0.651） and type Ⅳ collagen （AUC=0.644）， and the combination of these three indicators had significantly higher diagnostic efficacy （AUC=0.869）. Conclusion Serum copper is the single indicator with the highest diagnostic efficacy for CMR abnormalities in WD patients， but the combination of serum copper， WBC， and type Ⅳ collagen has a significantly better diagnostic value in identifying abnormal cardiac function in WD patients.

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.

摘要 目的 探讨血浆神经胶质细胞原纤维酸性蛋白（GFAP）及同型半胱氨酸（Hcy）水平对肝豆状核变性（又称肝豆状核变性，WD）的诊断及肝脑型鉴别诊断价值。方法 招募安徽中医药大学第一附属医院脑病中心2023年1月—2025年1月收治的WD患者共120例，其中WD脑型63例，WD肝型57例，以及同期在体检中心筛查的30名健康志愿者。采用ELISA法测定纳入对象血浆GFAP、Hcy水平，进行组间差异性比较和ROC曲线分析。并运用Spearman相关分析探讨血浆GFAP、Hcy水平与统一肝豆状核变性评定量表评分（UWDRS）、24 h尿铜及血清铜蓝蛋白（CER）水平的相关性。结果 WD肝型及脑型患者的血浆GFAP水平均显著高于对照组（P<0.05），且WD脑型较WD肝型升高更为显著（P<0.05）。血浆Hcy水平也在WD肝型及脑型患者中明显升高（P<0.05），但在WD肝型、脑型间未表现出显著差异。血浆GFAP诊断WD脑型的曲线下面积（AUC）为0.861，截断值为135.71 pg/ml，敏感度68.3％，特异度82.3％；该指标诊断WD肝型的AUC为0.695，截断值为129.84 pg/ml，敏感度64.7％，特异度83.3％；其在WD肝型及脑型鉴别诊断中的AUC为0.75，截断值为151.12 pg/ml，敏感度73.9％，特异度87.8％。血浆Hcy诊断WD的AUC为0.788，截断值为15.59 μmol/L，敏感性77.9％，特异性66.7％。Spearman相关性分析结果显示，WD肝型及脑型患者血浆GFAP、Hcy水平与UWDRS评分及24 h尿铜水平均呈正相关（P<0.05），与CER水平无显著相关性（P>0.05）。结论 血浆GFAP、Hcy水平与WD神经及肝脏功能受损程度密切相关，且为早期诊断WD以及血浆GFAP对WD各分型的鉴别诊断提供了一定的临床价值。 Abstract Objective To investigate the value of plasma glial fibrillary acidic protein （GFAP） and homocysteine （Hcy） in the diagnosis of hepatolenticular degeneration （also know as Wilson disease， WD） and the differential diagnosis of the hepatic and neurological forms of WD. Methods A total of 120 WD patients who were admitted to Encephalopathy Center of our hospital from January 2023 to January 2025 were enrolled， among whom there were 63 patients with neurological WD and 57 patients with hepatic WD， and 30 healthy volunteers who underwent physical examination during the same period of time were enrolled as control group. ELISA was used to measure the plasma levels of GFAP and Hcy， and the differences between groups were analyzed. The receiver operating characteristic（ROC） curve analysis was performed， and the Spearman correlation analysis was used to investigate the correlation of the plasma levels of GFAP and Hcy with Unified Wilson Disease Rating Scale （UWDRS） score， 24-hour urinary copper， and the serum level of ceruloplasmin （CER）. Results The patients with hepatic or neurological WD had a significantly higher plasma level of GFAP than the control group（P<0.05）， and the patients with neurological WD had a significantly greater increase than those with hepatic WD（P<0.05）. The patients with hepatic or neurological WD also had a significant increase in the plasma level of Hcy（P<0.05）， but with no significant difference between the patients with hepatic WD and those with neurological WD.Plasma GFAP had an area under the ROC curve（AUC） of 0.861 in the diagnosis of neurological WD， with a cut-off value of 135.71 pg/ml， a sensitivity of 68.3%，and a specificity of 82.3%；plasma GFAP had an AUC of 0.695 in the diagnosis of hepatic WD， with a cut-off value of 129.84 pg/ml， a sensitivity of 64.7%， and a specificity of 83.3%； in the differential diagnosis of hepatic and neurological WD， plasma GFAP had an AUC of 0.75， with a cut-off value of 151.12 pg/ml，a sensitivity of 73.9%， and a specificity of 87.8%. Plasma Hcy had an AUC of 0.788 in the diagnosis of WD， with a cut-off value of 15.59 μmol/L， sensitivity of 77.9%， and specificity of 66.7%. The Spearman correlation analysis showed that in the patients with hepatic or neurological WD， the plasma levels of GFAP and Hcy were positively correlated with UWDRS score and 24-hour urinary copper （P<0.05）， but they were not significantly correlated with the level of CER （P>0.05）. Conclusion The plasma levels of GFAP and Hcy are closely associated with the degree of neurological and hepatic impairment in WD， which provides a certain clinical value for the early diagnosis of WD and the differential diagnosis of hepatic and neurological WD.
Homocysteine

Childhood adversity is a risk factor for developing depressive symptoms or suffering from depressive disorders across the life course. However， existing evidence has focused on the analysis of the association between childhood adversity and depression from a single theoretical perspective， and there is a lack of comprehensive understanding of its multiple action pathways. By systematically summarizing the cumulative risk model， sensitive-period model， recency model， risk chain model， and the stress sensitization， stress amplification， and stress inoculation hypotheses， as well as the emerging pubertal stress recalibration hypothesis， this article attempts to construct an integrated theoretical framework to elucidate the internal logical synergy among these models. Furthermore， by reviewing relevant empirical evidence， this article analyzes the applicability and limitations of different theoretical models in illustrating the underlying psychopathological mechanisms of depression. The current evidence suggests that the impact of childhood adversity on the risk of psychopathology may be driven by a complex dynamic process involving the interaction of exposure timing， cumulative load， response boundaries of biological systems， and modification by later environments. Future research should utilize longitudinal cohorts and multimodal data within a unified analytical framework to comprehensively examine the multiple pathways through which childhood adversity affects the risk of depression. This will provide a reference for precisely identifying high-risk populations， targeting "recalibration windows" represented by adolescence， developing focused intervention strategies， and ultimately blocking the cascading effects of early life adversity as early as possible. ［Funded by the "Pioneer" and "Leading Goose" R&D program of Zhejiang Province （number， 2024C03006）］

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 explore the visiting behavior and health management strategy of patients with cardiovascular disease (CVD) and the industry management strategies under the family doctor contract service model. Methods A total of 351 patients with CVD from January 2022 to January 2025 were included in the case investigation by random sampling. Taking the number of visits in community health service institutions/total number of visits ≥90% as high compliance, the influencing factors of the visiting behavior of CVD patients were analyzed. Results Finally, 344 valid questionnaires were collected, with an effective recovery rate of 98.01%. The study subjects were categorized into high compliance group (271 cases) and low compliance group (73 cases). The scores of policy cognition understanding, institutional trust and medical service understanding in the high compliance group were higher compared with those in the low compliance group (P<0.05). There was no significant difference in the understanding of medical expenses between the two groups (P>0.05). Multivariate logistic regression model analysis revealed that CVD duration [OR (95% CI): 1.72 (1.21-2.44)], policy cognition understanding [OR (95% CI): 2.16 (1.20-3.89)] and institutional trust [OR (95% CI): 1.88 (1.08-3.25)] were independently associated with medical treatment behavior in CVD patients (P<0.05). Conclusion Enhancing the policy cognition understanding and institutional trust of CVD patients on family doctor contract service can promote patients to seek medical treatment and promote the high-quality development of family doctor contract service.

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.

Spinal muscular atrophy （SMA） is characterized by muscle atrophy and weakness caused by degeneration of the anterior horn cells of the spinal cord， and spinal muscular atrophy with lower extremity predominance （SMALED） accounts for less than 2% of all SMA cases.Due to the rarity of the disease and varying severities of its clinical phenotype， misdiagnosis or missed diagnosis is often observed in clinical practice. In this case， a male patient aged 19 years was admitted due to “weakness in both lower limbs for more than 2 years and aggravation for more than 2 months”. Neurophysical examination showed low muscle strength and muscle atrophy of lower limbs， with negative pathological signs or sensory disorders. Electromyography examination revealed neurogenic damage in both lower limbs， and the clinical and electrophysiological features of the patient were consistent with the features of SMALED. Genetic testing revealed BICD2 gene mutation， and the patient was diagnosed with SMALED2. There was no aggravation of clinical symptoms at follow-up half a year later. This case report aims to improve the understanding and diagnosis of this disease among clinicians.

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.