ObjectiveTo compare the differences in fungal community composition between lesional and non-lesional scalp areas in patients suffering from severe alopecia areata （AA）， and compare these with healthy scalp areas in control subjects. Additionally， to preliminarily explore the changes in scalp fungal communities in severe AA patients and their potential underlying immunological mechanisms. MethodsA total of 20 severe AA patients and 18 healthy controls were enrolled. Skin swab samples were collected from lesional and non-lesional scalp areas of severe AA patients， as well as from the normal scalp of healthy controls. The fungal internal transcribed spacer （ITS） region was amplified and analyzed using high-throughput sequencing. ResultsThe lesional scalp areas of severe AA patients exhibited higher α-diversity and species richness in fungal communities. Notably， the relative abundance of Ascomycota， along with genera such as Mycosphaerella， Aspergillus， Penicillium， and Wallemia， significantly increased in the bald regions. In contrast， Acremonium and Schizophyllum were more predominant in the non-lesional areas of severe AA patients. ConclusionDistinct region-specific differences in scalp fungal microbiota in severe AA patients suggests that fungal dysbiosis may play a potential role in the pathogenesis of alopecia areata. These findings provide new insights into the disease characteristics of severe AA from the perspective of scalp microecology.

Background: and Purpose Bilirubin has potent antioxidant, anti-inflammatory, and neuroprotective effects. Herein, we investigated whether total bilirubin (TBIL) modifies the association between hypertension and cerebral small vessel disease (CSVD). Methods: Data were obtained from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study. TBIL and direct bilirubin (DBIL) levels were assayed using fasting venous blood samples. Indirect bilirubin (IBIL) was calculated by subtracting DBIL from TBIL. TBIL was stratified as ≤17 μmol/L and >17 μmol/L based on the biological relevance of Gilbert’s syndrome. Hypertension was defined as blood pressure ≥140/90 mm Hg, self-reported hypertension history, or current use of antihypertensive agents. White matter hyperintensity, lacunes, cerebral microbleeds, and enlarged perivascular spaces were evaluated using magnetic resonance imaging and used to rate CSVD burden according to the criteria proposed by Wardlaw et al. and Rothwell et al. Results: This study included 3,061 participants, with a mean age of 61.2±6.7 years and 46.5% males. After adjusting for confounders, hypertension was associated with increased odds of presence of CSVD (Wardlaw: odds ratio [OR]=1.86, 95% confidence interval [CI] 1.41–2.44, P<0.001; Rothwell: OR=1.84, 95% CI 1.43–2.38, P<0.001) and higher modified total CSVD burden (common OR: 1.85, 95% CI 1.45–2.36, P<0.001) in participants with TBIL ≤17 μmol/L but not in TBIL >17 μmol/L (P for interaction <0.05). Johnson–Neyman analyses showed cut-off concentrations of 22.3–22.4 μmol/L for effect modification by TBIL. IBIL contributed to effect modification, whereas DBIL did not. Conclusions Mildly elevated TBIL may modify the association between hypertension and CSVD.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Based on the theory of collateral disease， the treatment of late-stage sequela of cerebrovascular disease is considered to be primarily associated with deficiency and obstruction of cerebral collaterals and dysfunction of the spirit mechanism. Therefore， the fundamental therapeutic principle is to unblock and supplement the brain collaterals. Clinically， the late-stage sequelae of cerebrovascular disease are classified into four patterns， which are malnourishment， deficiency-heat， stasis obstruction， and phlegm clouding of brain collaterals. These are treated respectively with Tiansui Tongqiao Decoction （填髓通窍汤） to supplement essence and nourish the brain through moistening， unblocking and supplementing， Qingnao Touluo Decoction （清脑透络汤） to enrich yin， regulate spirit， and unblock collaterals through clearing and penetrating， Yiqi Tongluo Decoction （益气通络汤） to tonify qi and resolve stasis while softening tendons and unblocking collaterals， and Xinrun Touqiao Beverage （辛润透窍饮） to unblock and tonify yin and yang while unblocking the collaterals through acrid-moistening medicinals. Flexible modification of prescriptions according to individual symptoms was applied， resulting in favorable therapeutic outcomes.

Utilizing CiteSpace and VOSviewer， a bibliometric analysis was conducted on 1，496 articles from the China National Knowledge Infrastructure， Chinese Science and Technology periodical database， Wanfang data， and the Web of Science database spanning 2006 to 2025， systematically revealing the evolutionary patterns of knowledge regarding doctor‐patient shared decision‐making （SDM） in the field of chronic disease management. The research indicated that the number of publications at home and abroad displayed an overall upward trend， yet their development paths differed significantly. International research has formed a “core-periphery” cooperation network， with research hotspots focusing on the improvement of decision-making quality， optimization of decision-making aids， application in primary care settings， and ethical issues in decision-making. Domestic research， driven by policies， developed rapidly and paid more attention to coverage improvement and cultural adaptation， but notable gaps remained in cross-institutional cooperation and tool localization. Currently， China’s practice still encountered multiple challenges， including restricted patients’ participation willingness due to “family-oriented” cultural values， inadequate localization of decision-making aids， and imperfect decision-making support systems in primary healthcare institutions. On this basis， this paper put forward localized suggestions from three dimensions， including cultural adaptation， technological innovation， and institutional coordination. Through multi-dimensional strategies such as advocating for constructing a family-empowered decision-making model， developing decision-making aids integrated with the dialectical logic of traditional Chinese medicine， and promoting the linkage between SDM implementation and the reform of medical insurance payment methods， it was expected to connect international experience with China’s practice. This aimed to provide references for building a chronic disease decision-making model with Chinese characteristics and contribute to the “patient-centered” medical transformation.

Paramyxoviruses are important respiratory pathogens with substantial clinical relevance in pediatric infectious diseases. During infection, multiple forms of programmed cell death (PCD) may be induced, and this plays pivotal roles in viral replication, dissemination, and host immune responses, thereby profoundly influencing the viral life cycle and disease progression. On one hand, PCD facilitates the clearance of infected cells, restricts viral spread, and activates host immune defenses, thereby enhancing antiviral immunity. On the other hand, excessive or dysregulated cell death may lead to tissue damage and immune imbalance, creating a microenvironment conducive to viral replication and exacerbating disease severity. For instance, apoptosis-mediated by both extrinsic and intrinsic pathways-contributes to infection control but may also be hijacked by viruses to promote dissemination. Pyroptosis, driven by inflammasome activation, triggers lytic cell death and the release of pro-inflammatory cytokines. Necroptosis, mediated by the RIPK1-RIPK3-MLKL signaling axis, and pyroptosis both amplify innate immune responses but may concurrently induce inflammatory dysregulation. Immunogenic cell death (ICD), characterized by the release of damage-associated molecular patterns and neoantigens, activates antigen-specific immune responses and holds therapeutic potential for antiviral and antitumor interventions. Emerging evidence suggests that ferroptosis, through the modulation of iron metabolism and associated transporters, may also participate in viral replication and infected cell clearance. This review comprehensively summarizes the roles of apoptosis, pyroptosis, necroptosis, ICD, and ferroptosis in paramyxovirus infection, aiming to deepen the understanding of paramyxovirus pathogenesis and to provide insights for developing novel antiviral strategies.
Humans ; Paramyxoviridae Infections/pathology* ; Pyroptosis ; Apoptosis ; Virus Replication ; Necroptosis ; Inflammasomes ; Immunity, Innate ; Immunogenic Cell Death ; Paramyxoviridae/physiology* ; Signal Transduction

The advancement of tissue clearing technology has significantly propelled neuroscience research. Nevertheless, the fluorescent proteins used in traditional transgenic mouse strains were not specifically optimized for tissue clearing procedures, resulting in a substantial decrease in fluorescent intensity after clearing. In this study, we developed the Ci1 reporter mouse strain (where Ci stands for the Chinese Institute for Brain Research, CIBR) based on the bright red fluorescent protein mScarlet. The Ci1 reporter exhibits no fluorescence leakage in various organs or tissue types and can be readily crossed with multiple tissue-specific Cre lines. Compared to the Ai14 mouse strain, the Ci1 reporter strain demonstrates lower non-specific leakage, stronger fluorescence intensity in different tissues, and better preservation of fluorescence following tissue clearing treatment. The creation of the Ci1 reporter provides a more effective tool for both neuroscience and other biomedical research applications.
Animals ; Luminescent Proteins/metabolism* ; Mice, Transgenic ; Mice ; Red Fluorescent Protein ; Brain/metabolism* ; Genes, Reporter ; Fluorescence

Regenerating periodontal bone defect surrounding periodontal tissue is crucial for orthodontic or dental implant treatment. The declined osteogenic ability of periodontal ligament stem cells (PDLSCs) induced by inflammation stimulus contributes to reduced capacity to regenerate periodontal bone, which brings about a huge challenge for treating periodontitis. Here, inspired by the adhesive property of mussels, we have created adhesive and mineralized hydrogel microspheres loaded with traditional compound cordycepin (MMS-CY). MMS-CY could adhere to the surface of alveolar bone, then promote the migration capacity of PDLSCs and thus recruit them to inflammatory periodontal tissues. Furthermore, MMS-CY rescued the impaired osteogenesis and ligament-forming capacity of PDLSCs, which were suppressed by the inflammation stimulus. Moreover, MMS-CY also displayed the excellent inhibitory effect on the osteoclastic activity. Mechanistically, MMS-CY inhibited the premature senescence induced by the inflammation stimulus through the nuclear factor erythroid 2-related factor (NRF2) pathway and reducing the DNA injury. Utilizing in vivo rat periodontitis model, MMS-CY was demonstrated to enhance the periodontal bone regeneration by improving osteogenesis and inhibiting the osteoclastic activity. Altogether, our study indicated that the multi-pronged approach is promising to promote the periodontal bone regeneration in periodontitis condition by reducing the inflammation-induced stem cell senescence and maintaining bone homeostasis.
Animals ; Bone Regeneration/drug effects* ; Rats ; Periodontal Ligament/cytology* ; Microspheres ; NF-E2-Related Factor 2 ; Hydrogels ; Periodontitis/therapy* ; Osteogenesis/drug effects* ; Disease Models, Animal ; Stem Cells ; Male ; Rats, Sprague-Dawley ; Humans

Background Work-related musculoskeletal disorders (WMSDs) are considered to be one of the biggest health problems in the workplace, seriously affecting the productivity and quality of life of the working population. Long working hours may associate with WMSDs, and leisure-time physical activity (LTPA) is beneficial for WMSDs. However, the independent and combined effects of these two factors on WMSDs remain poorly understood. Objective To explore the independent and joint relationships between long working hours, leisure time physical activity (LTPA), and WMSDs, and to provide a basis for prevention and intervention of WMSDs. Methods A cross-sectional survey was conducted among 1227 frontline workers from multiple secondary industry companies in Nanchong City in 2023 using cluster random sampling. Demographic characteristics information, weekly working hours, LTPA, personal health behaviors, and occupational factors were collected through questionnaires. The Chinese version of Musculoskeletal Disorders Questionnaire was used to assess WMSDs. χ² test and logistic regression were used to analyze the relationships between long working hours and/or LTPA and WMSDs. Results A total of 1227 workers were surveyed with a mean age of (41.3±9.3) years and 855 (69.7%) were male and 372 (30.3%) were female. Among then, 855 (69.7%) workers reported working >40 h per week, and 254 (20.7%) reported working ≥ 55 h per week; 561 (45.7%) reported no LTPA and 192 (15.6%) reported high LTPA. The overall positive rate of WMSDs was 57.4%. The positive rate of WMSDs was 71.3% in those working ≥55 h per week, which was significantly higher than those in the other groups (51.3%-58.2%, P<0.05). Comparison among the positive rate of WMSDs in the weekly working 41-48 h group (54.4%), the 49-54 h group (58.2%), and the ≤40 h group (51.3%) showed no statistically significant difference (P>0.05). The positive rate of WMSDs was higher in workers with no LTPA (59.0%)/low LTPA (58.9%) than in those with high LTPA (49.0%) (P<0.05). The logistic regression models showed that after adjusting gender, age, work experience, income per month, night shift, industry, prolonged fixed posture, prolonged repetition, smoking and alcohol drinking, compared with weekly working ≤40 h, the risk of WMSDs was higher in those with extra-long working hours (≥55 h·week⁻¹ ) (OR=2.155, 95%CI: 1.504, 3.088), whereas those with high LTPA had a lower risk of WMSDs (OR=0.614, 95% CI: 0.432, 0.874 ). The combination of no LTPA and extra-long working hours (≥55 h·week⁻¹) and low LTPA and extra-long working hours (≥55 h·week⁻¹) showed associations with WMSDs, with 2.360 and 2.049 times higher risk of WMSDs than that of the combination of no LTPA and standard working hours (≤40 h ·week⁻¹) respectively (P<0.05), whereas the combination of high LTPA and long working hours was not observed statistical significance (P>0.05). Conclusion Extra-long working hours and/or LTPA show different associations with the risk of WMSDs. Extra-long working hours are significantly positively associated with the risk of WMSDs, whereas high LTPA is significantly negatively associated with the risk of WMSDs. The combination of extra-long working hours with no or low LTPA is associated with elevated risk of reporting WMSDs, whereas no statistical significance is observed for the high LTPA-long work hours combination.