The spine is the most common site of skeletal metastasis in lung cancer, which frequently leads to severe complications such as pathological fracture and neurological compromise and is associated with poor prognosis. The development and progression of spinal metastasis from lung cancer are linked to the unique local microenvironment and tumor microenvironment (TME) of the vertebral column. During metastatic evolution, the dense vascular network of the spine and a plethora of signaling molecules, together with the complex cellular constituents and their intricate interactions within the TME, all cooperate to facilitate the tumor invasion and colonization of the vertebral compartment. Mechanistic studies delineating the role of the TME in spinal metastasis from lung cancer have markedly expanded, fostering the emergence of innovative therapeutic strategies—including nanomedicines, sono-photodynamic therapy, gene therapy, and combination regimens. These strategies demonstrate remarkably potential for clinical translation and offer new directions for the precision management of spinal metastasis from lung cancer.

OBJECTIVE To explore the early detection of large vestibular aqueduct syndrome(LVAS)in children by applying several audiological indicators.METHODS Ninety-two children with hearing loss(aged 1-70 months)were enrolled and divided into an LVAS group(45 cases)and a control group(47 cases).Eleven audiological indicators were statistically analyzed:lateral of hearing loss,the degree of hearing loss,configuration of hearing loss;ABR air-conduction threshold;ABR air-bone gap;ASSR average threshold;ASSR thresholds at 0.5,1,2,and 4 kHz;and tympanogram type.Indicators showing significant two-group differences were used to construct a visualized multifactorial linear prediction model using the R language.RESULTS Nine indicators demonstrated statistically significant differences between groups(P<0.05):laterality,configuration of hearing loss,ABR air-conduction threshold,ASSR average threshold,ASSR thresholds at all frequencies(0.5,1,2,4 kHz),and tympanogram type.A prediction model was established.When the total model score ranged between 200 and 240 points,the predicted LVAS risk probability was 0.1 to 0.99.The consistency index(C-index)was 0.85,indicating good predictive ability of the model.CONCLUSION The identified nine audiological indicators are valuable for the early detection of LVAS in children.The developed model can estimate LVAS risk.After refinement,this model holds potential to support early clinical diagnosis and intervention.

Objective:To understand the current research status, hot issues, and development trends of Taohong Siwu Decoction.Methods:Research literature about Taohong Siwu Decoction was retrieved from Wanfang Data, CBM, CNKI, and Chongqing VIP from January 1, 2014, to August 13, 2024. Excel 2024 software was used to analyze the annual number of publications, the source journals, literature types and the distribution of diseases and syndromes. CiteSpace 6.3.R3 software was used for visualization analysis on the authors, research institutions and key words.Results:A total of 2 519 articles were included, and the annual publication volume showed a fluctuating growth trend. There were 396 source journals, of which Medicine and Health published the most (80 articles); 208 authors were involved, and the core authors included Peng Daiyin of Anhui University of Chinese Medicine, Zhu Fuping of the First Affiliated Hospital of Hunan University of Chinese Medicine, Sun Shaoqiu of the Second Affiliated Hospital of Hunan University of Chinese Medicine and so on. The main research institutions in this field included Hunan University of Chinese Medicine and its affiliated hospitals. The high-frequency keywords included fracture, irregular menstruation, clinical efficacy, chloasma, Wuling Powder, experience of famous doctors, elderly, etc. Keywords could be clustered into 11 modules.Conclusions:The current research hotspots of Taohong Siwu Decoction mainly focus on the exploration of multi-system disease treatment, individualized syndrome differentiation and treatment, pharmacology and metabolic mechanism of Chinese materia medica, etc. Among them, the in-depth study of drug composition and metabolism, network pharmacology and mechanism is the research frontier in this field.

Objective To investigate the effect and mechanism of melatonin in alleviating hypoxia-induced apoptosis in ovarian gra-nulosa cells.Methods Rat ovarian granulosa cells were isolated and divided into normoxic,hypoxic,and melatonin groups.Hypoxia-induced injury models were established in the hypoxic and melatonin groups,and granulosa cells in the melatonin group were treated with melatonin.A total of 24 rats were randomized into the control,model,and intervention groups(n=8 per group).Rat models of declining ovarian function induced by long-term hypoxia were established in the model and intervention groups.The rats in the intervention group were intraperitoneally injected with melatonin.Cell proliferation was measured using a CCK-8 assay,and lactate secretion and HIF-1αprotein with a specific kit,respectively.The levels of estradiol and progesterone in the cell supernatant and rat serum were detected using ELISA.Granulosa cell apoptosis was detected by flow cytometry,ovarian morphology by HE staining,and Bax and caspase-3 expression by Western blotting.Results Compared with the normoxic group,the hypoxic group exhibited decreased granulosa cell proliferation,increased apoptosis,elevated lactate and HIF-1α levels,and reduced estradiol and progesterone levels(P＜0.05).Compared with hypoxic group,these changes were significantly reversed in the molatonin group(P＜0.05).Compared with the control group,the model group showed increased lactate,HIF-1α,Bax,and caspase-3 levels,decreased estradiol and progesterone levels,and reduced follicles.Compared with the model group,all the indicators were ameliorated in the intervention group(P＜0.05).Conclusion Melatonin alleviated hypoxia-induced granulosa cell apoptosis and promoted the recovery of ovarian function.

Objective To investigate the value of gadolinium-ethoxybenzyl-diethylenetriaminepentaacetic acid(Gd-EOB-DTPA)enhanced MRI and T1 mapping for evaluating vessels encapsulating tumor clusters(VETC)caused by hepatocellular carcinoma(HCC).Methods Totally 112 cases of HCC confirmed by surgical pathology were retrospectively enrolled and categorized into positive group(n=46)and negative group(n=66)based on the presence or absence of VETC.Gd-EOB-DTPA enhanced MRI features and T1 mapping parameters were compared between groups.Multivariate logistic regression analysis was used to identify independent risk factors for HCC VETC,and a combined nomogram model was developed.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of the identified independent risk factors and nomogram model for predicting HCC VETC.Results The maximum diameter of HCC,incidence of non-smooth tumor margin,prevalence of peritumoral hypo-intensity on hepatobiliary phase(HBP),as well as T1 value of HBP(T1post)in positive group were all higher,while the change rate of T1 value(ΔT1％)in positive group was lower than those in negative group(all P＜0.05).The increased maximum diameter,non-smooth margin,peritumoral hypo-intensity on HBP and low ΔT1％were all independent risk factors for HCC VETC(all P＜0.05),with AUC for predicting HCC VETC of 0.680,0.675,0.686 and 0.752,respectively.The nomogram model developed based on the combination of the above factors showed sensitivity of 78.79％,specificity of 71.74％and AUC of 0.839 for predicting HCC VETC.Conclusion Gd-EOB-DTPA enhanced MRI combined with T1 mapping could be used to effectively predict HCC VETC.

Parkinson's disease (PD), a major neurodegenerative disease faced by an aging society worldwide, has not yet been fully elucidated in terms of its pathogenesis. Currently, clinical treatment mainly relies on symptom management and can only be relieved by medication. In recent years, many studies have shown that polysaccharides have potential in treatment of neurodegenerative diseases. Polysaccharides play a role in PD in ways such as anti-oxidative stress response, improvement of mitochondrial dysfunction, inhibition of neuroinflammation, anti-neurotoxicity, and activation of autophagy. This study discusses the mechanism of polysaccharides in PD, aiming to provide new ideas for PD prevention and treatment and new drug development in the future.

Objective:To analyze the efficacy and prognosis of surgical patients with traumatic epidural hematoma straddling the transverse sinus (TEHSTS).Methods:Clinical data of 4 360 patients with epidural hematoma admitted to the First Affiliated Hospital of Henan University of Science and Technology from January 2010 to April 2024 were collected. Among them, 109 cases (2.5%) were diagnosed with TEHSTS. Based on the rapid progression criteria for posterior fossa epidural hematoma [sudden deterioration of Glasgow Coma Scale (GCS) score within hours (a decrease of ≥1 point in the best motor response and/or a decrease of ≥2 points in GCS score), and progressive enlargement of TEHSTS on repeat CT scan], the timing and method of surgery were determined. Two surgical approaches were compared: combined supratentorial and infratentorial craniotomy (craniotomy group) and modified supratentorial burr-hole drainage (burr-hole group). Clinical data, surgical timing, surgical outcomes, and prognosis were compared between the two groups.Results:There were 57 cases (52.3%) in the craniotomy group and 52 cases (47.7%) in the modified burr-hole group. The proportion of patients presenting with vomiting upon admission was higher in the craniotomy group than in the burr-hole group [77.2%(44/57) vs 59.6%(31/52), P=0.048], and the proportion of patients with linear occipital fractures on CT was also higher in the craniotomy group [91.2%(52/57) vs 75.0%(39/52), P=0.023]. No significant differences were observed in other admission symptoms or CT findings between the two groups (all P>0.05). The GCS score upon admission was significantly lower in the craniotomy group [(11.0±1.0)points] than in the modified burr-hole group [(13.0±1.0)points] ( P<0.05). Four cases in the burr-hole group developed delayed hematomas, including two cases of bilateral delayed epidural hematomas. The preoperative GCS score in the craniotomy group [(9.0±0.5)points] was significantly lower than upon admission [(11.0±1.0)points] ( P<0.05), and the surgical timing was (6.5±1.5)hours after injury. The preoperative GCS score in the burr-hole group [(11.5±0.5)points] was also significantly lower than upon admission [(13.0±1.0)points] ( P<0.05), with surgical timing at (19.5±5.5)hours after injury. Preoperative CT scans showed no significant difference in hematoma volume between the burr-hole group [(35.5±7.5)ml] and the craniotomy group [(36.5±9.5)ml] ( P>0.05). The preoperative GCS score was significantly lower in the craniotomy group than in the burr-hole group ( P<0.05). The GCS scores at 24 hours postoperatively were significantly improved compared to preoperative scores in both groups (all P<0.05). The burr-hole group had significantly shorter operative time, less intraoperative blood loss, shorter intensive care unit (ICU) stay, and shorter hospital stay than the craniotomy group (all P<0.01). The incidence of postoperative pulmonary infection was lower in the burr-hole group than in the craniotomy group ( P<0.05). At 3-month follow-up, the rate of good recovery [Glasgow Outcome Scale (GOS) score≥4 points] was significantly higher in the burr-hole group (98.1%) than in the craniotomy group (93.0%) ( P<0.01). Conclusions:TEHSTS should be managed with different surgical approaches based on admission symptoms, GCS score, and the speed of disease progression. The modified burr-hole drainage procedure is convenient, safe, and associated with better prognosis.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

Objective:This study identifies independent predictive indicators to distinguish autoimmune gastritis from Helicobacter pylori ( H. pylori)-induced atrophic gastritis and validates their diagnostic performance to compare laboratory indicators of autoimmune gastritis and H. pylori-induced atrophic gastritis. Methods:A retrospective comparison of laboratory examination indicators was conducted for chronic atrophic gastritis patients with involvement of the gastric fundus and corpus, who were followed up at the Department of Gastroenterology, Xijing Hospital, from January 2014 to September 2024. Receiver operating characteristic (ROC) curves were utilized to determine the optimal cutoff points and corresponding diagnostic thresholds. In addition, multivariate logistic regression analysis was conducted to identify independent predictive indicators for autoimmune gastritis, with further assessment in a validation cohort.Results:A total of 139 patients with autoimmune gastritis and 209 patients with H. pylori-induced atrophic gastritis were included. Pepsinogen (PG) Ⅰ levels and the PG Ⅰ/PG Ⅱ ratio in patients with autoimmune gastritis were significantly lower than in those with H. pylori-induced atrophic gastritis [11.0 (4.8, 22.5) vs. 41.8 (32.2, 59.9) μg/L, U=722.00, P<0.001; 1.24 (0.75, 3.54) vs. 5.76 (4.31, 7.12), U=817.00, P<0.001], while gastrin levels were significantly higher [375 (84, 738) vs. 49 (35, 81) ng/L, U=378.00, P<0.001]. PG Ⅰ was identified as an independent predictive variable, with an area under the ROC curve of 0.847 (95% CI 0.791-0.904), sensitivity of 77.6%, specificity of 91.8%, positive predictive value of 80.5%, and negative predictive value of 90.5%. Conclusions:Significant differences in laboratory indicators were observed between autoimmune gastritis and H. pylori-induced atrophic gastritis in chronic atrophic gastritis involving gastric fundus and corpus. Besides, PG Ⅰ demonstrated good diagnostic performance in identifying autoimmune gastritis and can effectively differentiate between different types of atrophic gastritis.

Cancer is a serious global health problem and a major cause of human death. Conventional cancer treatments often run the risk of impairing vital organ functions. Anticancer peptides (ACPs) are considered to be one of the most promising therapeutic agents against common human cancers due to their small sizes, high specificity, and low toxicity. Since ACP recognition is highly limited to the laboratory, expensive, and time-consuming, we proposed pLM4ACP, a model for predicting ACPs based on machine learning and protein language models. In this model, the protein language model ProtT5 was used to extract the features of ACPs, and the extracted features were input into the support vector machine (SVM) classification algorithm for optimization and performance evaluation. The model showcased significantly higher accuracy than other methods, with the overall accuracy of 0.763, F1-score of 0.767, Matthews correlation coefficient of 0.527, and area under the curve of 0.827 on the independent test set. This study constructs an efficient anticancer peptide prediction model based on protein language models, further advancing the application of artificial intelligence in the biomedical field and promoting the development of precision medicine and computational biology.
Machine Learning ; Antineoplastic Agents/chemistry* ; Humans ; Peptides/chemistry* ; Support Vector Machine ; Algorithms ; Computational Biology/methods* ; Neoplasms/drug therapy*