Methods: Seventy-five patients with atlas fracture were included from January 2015 to December 2020. Based on the anatomy of the fracture line, atlas fractures were divided into three types. Each type was divided into two subtypes according to the fracture displacement. Unweighted Cohen kappa coefficients were applied to evaluate the reliability and reproducibility. Results: According to the new classification, 17 cases of type A1, 12 of type A2, seven of type B1, 13 of type B2, 12 of type C1, and 14 of type C2 were identified. The K-values of the interobserver and intraobserver reliability were 0.846 and 0.912, respectively, for the new classification. The K-values of interobserver reliability for types A, B, and C were 0.843, 0.799, and 0.898, respectively. The K-values of intraobserver reliability for types A, B, and C were 0.888, 0.910, and 0.935, respectively. The mean K-values of the interobserver and intraobserver reliability for subtypes were 0.687 and 0.829, respectively. Conclusions The new classification of atlas fractures can cover nearly all atlas fractures. This system is the first to evaluate the severity of fractures based on the C1 articular facet and fracture displacement and strengthen the anatomy ring of the atlas. It is concise, easy to remember, reliable, and reproducible.

Methods: Seventy-five patients with atlas fracture were included from January 2015 to December 2020. Based on the anatomy of the fracture line, atlas fractures were divided into three types. Each type was divided into two subtypes according to the fracture displacement. Unweighted Cohen kappa coefficients were applied to evaluate the reliability and reproducibility. Results: According to the new classification, 17 cases of type A1, 12 of type A2, seven of type B1, 13 of type B2, 12 of type C1, and 14 of type C2 were identified. The K-values of the interobserver and intraobserver reliability were 0.846 and 0.912, respectively, for the new classification. The K-values of interobserver reliability for types A, B, and C were 0.843, 0.799, and 0.898, respectively. The K-values of intraobserver reliability for types A, B, and C were 0.888, 0.910, and 0.935, respectively. The mean K-values of the interobserver and intraobserver reliability for subtypes were 0.687 and 0.829, respectively. Conclusions The new classification of atlas fractures can cover nearly all atlas fractures. This system is the first to evaluate the severity of fractures based on the C1 articular facet and fracture displacement and strengthen the anatomy ring of the atlas. It is concise, easy to remember, reliable, and reproducible.

Methods: Seventy-five patients with atlas fracture were included from January 2015 to December 2020. Based on the anatomy of the fracture line, atlas fractures were divided into three types. Each type was divided into two subtypes according to the fracture displacement. Unweighted Cohen kappa coefficients were applied to evaluate the reliability and reproducibility. Results: According to the new classification, 17 cases of type A1, 12 of type A2, seven of type B1, 13 of type B2, 12 of type C1, and 14 of type C2 were identified. The K-values of the interobserver and intraobserver reliability were 0.846 and 0.912, respectively, for the new classification. The K-values of interobserver reliability for types A, B, and C were 0.843, 0.799, and 0.898, respectively. The K-values of intraobserver reliability for types A, B, and C were 0.888, 0.910, and 0.935, respectively. The mean K-values of the interobserver and intraobserver reliability for subtypes were 0.687 and 0.829, respectively. Conclusions The new classification of atlas fractures can cover nearly all atlas fractures. This system is the first to evaluate the severity of fractures based on the C1 articular facet and fracture displacement and strengthen the anatomy ring of the atlas. It is concise, easy to remember, reliable, and reproducible.

Tumor treatment-related adverse reactions are a major focus of clinical concern， among which recurrent aphthous oral ulcers （RAU） associated with targeted therapy for lung cancer （LC） are among the most painful and distressing for patients. Currently， modern medical interventions show limited efficacy， and there is an urgent need for more effective treatment strategies. This study differentiates RAU associated with targeted therapy for LC from chemotherapy-related and ordinary oral ulcers， elucidates the pathophysiological basis of such ulcers， and traces the theoretical origin of "Yin deficiency and Qi collapse". Based on the new system of "five perspectives on diagnosis and treatment" for tumor prevention and treatment， with a focus on the core and symptom perspectives and rooted in the traditional concept of "lung dominating Qi"， we innovatively propose the concept of "medicine-induced ulcer" and are the first to introduce the theory of "Yin deficiency and Qi collapse" into the syndrome differentiation and treatment of RAU associated with targeted therapy for LC （i.e.， medicine-induced ulcer）. We propose that "Yin deficiency and Qi collapse" is the core pathogenesis of medicine-induced ulcers， in which the collapse of formless Qi is the key to their onset， while the deficiency and stasis of tangible Yin and blood constitute the root of recurrence. A hierarchical strategy for syndrome differentiation and treatment is established： first treating the collapse of formless Qi， then replenishing tangible deficiencies， and concurrently preventing recurrence. We emphasize that treatment should address both root and manifestation， with appropriate prioritization. In the acute phase， while relieving symptoms and promoting ulcer healing by nourishing Qi， uplifting collapse， and generating body fluids， attention should also be paid to nourishing spleen Yin， facilitating the circulation of nutritive Qi， and alleviating stasis to target the root pathogenesis and reduce recurrence. A verified case is presented to support this approach. This study enriches the theoretical framework and clinical methods of traditional Chinese medicine （TCM） in the treatment of RAU associated with targeted therapy for LC， promotes symptom management of treatment-related adverse reactions through integrated TCM and Western medicine， and provides theoretical support for the construction and development of a comprehensive differentiation and treatment system for lung cancer prevention， treatment， and rehabilitation.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

The goal of achieving elimination of schistosomiasis across all endemic counties in China by 2030 was proposed in the Outline of the Healthy China 2030 Plan. On June 16, 2023, the Action Plan to Accelerate the Elimination of Schistosomiasis in China (2023—2030) was jointly issued by National Disease Control and Prevention Administration and other 10 ministries, which deployed the targets and key tasks of the national schistosomiasis elimination programme in China. This article describes the progress of the national schistosomiasis control programme, analyzes the opportunities to eliminate schistosomiasis, and proposes targeted recommendations to tackle the challenges of schistosomiasis elimination, so as to accelerate the process towards schistosomiasis elimination and facilitate the building of a healthy China.

Objective: To analyze the epidemiological and etiological characteristics of foodborne diseases in Karamay City, Xinjiang Uygur Autonomous Region from 2018 to 2022, so as to provide insights into formulation of foodborne disease control measures. Methods: Active surveillance data of foodborne disease cases in Karamay City from 2018 to 2022 were collected from Foodborne Disease Monitoring and Reporting System. Population distribution, temporal distribution, spatial distribution, etiological characteristics and history of suspicious food exposure of foodborne diseases were descriptively analyzed. Results: A total of 715 cases with foodborne diseases were reported in Karamay City from 2018 to 2022, and 672 samples were detected, with a sampling rate of 93.99% and a positive rate of 4.17%. Positive rates of detected pathogens showed an increasing trend from 2018 to 2022 (P<0.05). There were 352 men (49.23%) and 363 women (50.77%), 272 cases (38.04%) were at ages of 20 to 39 years, and 225 cases (31.47%) were workers. The detection of foodborne diseases was concentrated during the period between November and December (312 cases, 43.64%), followed by the period between July and August (209 cases, 29.23%). The main clinical symptoms were digestive system symptoms (700 cases, 97.90%). Norovirus were detected (28 cases), while Salmonella, Shigella, Vibrio parahaemolyticus and diarrheagenic Escherichia coli were not detected. The suspicious food exposure was predominantly meat and meat products (211 cases, 29.51%), and the suspicious food exposure place was predominantly at food service establishments (350 cases, 48.95%). Conclusions Foodborne diseases were highly prevalent during the period between November and December and between July and August in Karamay City from 2018 to 2022. Residents at ages of 20 to 39 years and workers are high-risk populations. Meat and meat products are the main suspicious food products and dining places are the main exposed places.

Objective:To investigate the clinical significance of tumor budding as an indicator of postoperative distant organ metastasis after radical gastrectomy in elderly patients diagnosed with gastric cancer.Methods:The clinical and pathological data of 124 elderly patients who experienced metastasis after undergoing radical gastrectomy were retrospectively analyzed.The analysis was conducted from March 2015 to June 2022, focusing on the clinicopathological factors that influenced the occurrence of postoperative distant metastasis in these patients.Tumor budding in gastric cancer tissues was assessed using hematoxylin-eosin staining, and its clinical significance was analyzed.Results:The tumor budding grade of gastric cancer tissues showed a significant correlation with vascular invasion( χ2=6.731, P=0.009), the number of lymph node metastases( rs=0.481, P<0.001), and the time of distant metastasis( rs=-0.450, P<0.001).In the univariate analysis, factors such as tumor budding grade, tumor size, vascular invasion, postoperative chemotherapy, cancerous nodule, preoperative serum carbohydrate antigen 125, and the number of lymph node metastases were found to influence distant metastasis-free survival after radical gastrectomy in elderly patients(all P<0.05).The multifactorial analysis also indicated that tumour outgrowth grade was an important independent prognostic factor for postoperative distant metastasis in elderly gastric cancer patients( HR=3.731, P<0.001). Conclusions:The findings of this study indicate that tumor budding may serve as a potential marker for predicting distant organ metastasis in elderly patients who have undergone radical gastrectomy.This discovery holds significant clinical implications.

Objective To investigate the effects and mechanisms of Zhenxin Anshen Prescription(composed of Os Draconis,Ostreae Concha,Lophatheri Herba,Drynariae Rhizoma,Poria)on mice with atopic dermatitis(AD)based on the calcium channel regulator 1(ORAI1)/nuclear factor of T-cells(NFAT)signalling axis.Methods Thirty-six BALB/c mice were randomly divided into a blank control group,a model group,a Cetirizine group(1.3 mg·kg-1)and a Zhenxin Anshen Prescription group(36.36 g·kg-1),with nine mice in each group.AD mouse model was established using 1-chloro-2,4-dinitrobenzene(DNCB)induction.The drug was administered by gavage once a day for 2 weeks.At the end of drug administration,the area of skin lesions was measured and the severity of skin lesions was scored;spleen mass was measured and spleen index was calculated;pathological changes of skin lesion tissues were observed by HE staining;interleukin 4(IL-4),IL-13 and thymic stromal lymphopoietin(TSLP)in serum were detected by ELISA;and the protein expression levels of ORAI1,calmodulin phosphatase A(CaN)and nuclear factor of T cells 2(NFAT2)were detected by Western Blot.Results Compared with the blank control group,the skin lesion score of mice in the model group was significantly increased(P＜0.01),the skin lesion area was significantly enlarged(P＜0.01);the thickness of the epidermis and dermis were significantly increased(P＜0.01),hyperkeratosis of the epidermis,hypertrophy of the stratum spinosum,and infiltration of inflammatory cells such as eosinophils and lymphocytes can be seen in the dermis;the splenic index and serum IL-4,IL-13,TSLP levels were significantly increased(P＜0.01);protein expression levels of CaN,NFAT2,ORAI1 were significantly increased in the skin lesion tissues(P＜0.01).Compared with the model group,the dermatitis score of mice in the Zhenxin Anshen Prescription group was significantly decreased(P＜0.01),the lesion area was significantly reduced(P＜0.01),the epidermal and dermal thicknesses(P＜0.01),the hyperkeratosis of epidermis was alleviated,the spinous layer was slightly hypertrophic,and there was a small amount of inflammatory cell infiltration in the dermis;the splenic index and the levels of serum IL-4,IL-13,and TSLP were significantly decreased(P＜0.01);the protein expressions levels of CaN,NFAT2,and ORAI1 in the skin lesion tissues were significantly decreased(P＜0.01).Conclusion Zhenxin Anshen Prescription can ameliorate dermatopathological injury in DNCB-induced AD mice,and the mechanism may be related to its ability to inhibit the protein expressions of ORAI1,CaN and NFAT2,reduce the levels of serum type 2 inflammatory factors TSLP,IL-4 and IL-13,and ameliorate cutaneous inflammation and itching through immunomodulation.

BACKGROUND:Shujin Jiannao Prescription is an empirical formula for the treatment of cerebral palsy in Dongzhimen Hospital,Beijing University of Chinese Medicine,with clear clinical efficacy,but the specific mechanism needs to be elucidated. OBJECTIVE:To explore the possible mechanism of Shujin Jiannao Prescription in treating cerebral palsy. METHODS:Sixty-four 7-day-old Sprague-Dawley rats were randomly divided into a normal group(n=12)and a model group(n=52).An animal model was established by the Rice-Vannucci method.After successful modeling,52 model rats were randomly divided into control model group(n=12),minocycline group,and the low-,medium-,and high-dose groups of the Shujin Jiannao Prescription(n=10 per group).Rats in the minocycline group were given 40 mg/kg·d minocycline by gavage;rats in the low-,medium,and high-dose groups were given 4,8,and 16 g/kg·d Shujin Jiannao Prescription granules by gavage,respectively;and rats in the normal group and control model group were given an equal dose of normal saline by gavage.Medication in each group was given once a day for 1 week.The rats in each group were evaluated behaviorally using suspension test,abnormal involuntary movement score,and Bederson score.The pathological changes of the cerebral cortex were observed by hematoxylin-eosin staining.The levels of tumor necrosis factor α,interleukin 1β,and interleukin 10 in the cerebral cortex were determined using ELISA.The positive expressions of Janus kinase 2(JAK2),phosphorylated Janus kinase 2(p-JAK2),phosphorylated signal transducer and activator of transcription 3(p-STAT3)in the cerebral cortex were detected using immunohistochemistry.The protein expression levels of JAK2,p-JAK2,and p-STAT3 were detected using western blot. RESULTS AND CONCLUSION:Compared with the normal group,the suspension test score and involuntary movement score were decreased in the control model group(P＜0.01 or P＜0.05).The pathological results showed structural disruption of nerve cells,formation of large numbers of vacuoles,cell swelling,and increased intercellular space in the control model group.In addition,the expressions of tumor necrosis factor α and interleukin 1β in the cerebral cortex were significantly increased(P＜0.01),the expression of interleukin 10 was decreased(P＜0.05),and the protein expressions of JAK2,p-JAK2,and p-STAT3 in the cerebral cortex were significantly increased(P＜0.01)in the control model group compared with the normal group.Compared with the model group,minocycline and Shujin Jiannao Prescription at each dose could improve the behavioral indexes of rats(P＜0.01 or P＜0.05)and ischemic-hypoxic pathological changes were attenuated,with only a small amount of necrotic nerve cells and a few vacuoles,and reduced intercellular space.Moreover,the expressions of tumor necrosis factor α and interleukin 1β in the cerebral cortex were decreased in each drug group compared with the control model group(P＜0.05),while the protein expressions of JAK2,p-JAK2,and p-STAT3 in the cerebral cortex were significantly decreased(P＜0.01).The most obvious improvement was observed in the high-dose Shujin Jiannao Prescription group.To conclude,Shujin Jiannao Prescription can inhibit inflammation in the cerebral cortex of rats with hypoxic-ischemic brain injury.The mechanism may be related to the regulation of the JAK2/STAT3 signaling pathway.