Depression is a common psychiatric disorder characterized by persistent low mood or mental disorders. Current treatments primarily focus on regulating neurotransmitter levels， but their effectiveness is limited. The mechanisms underlying its onset are complex， and there is no unified consensus. Abnormal signaling pathway transmission plays a crucial role in the development of depression， involving multiple pathways， including Toll-like receptor 4/nucleotide-binding oligomerization domain-like receptor protein 3 （TLR4/NLRP3）， nuclear factor-κB （NF-κB）， Janus kinase/signal transducer and activator of transcription （JAK/STAT）， mitogen-activated protein kinase/extracellular signal-regulated kinase （MAPK/ERK）， brain-derived neurotrophic factor/tyrosine kinase receptor B （BDNF/TrkB）， cyclic AMP/protein kinase A/cAMP response element-binding protein （cAMP/PKA/CREB）， and others. Traditional Chinese medicine（TCM） is based on a holistic approach and the principle of treatment based on the differentiation of syndromes， regulating the balance of multiple systems and organ functions from a macroscopic perspective. This approach has shown unique advantages in the treatment of depression. TCM attributes the onset of depression to dysfunction of the organ systems， involving liver Qi stagnation， heart spirit deficiency， kidney essence depletion， and spleen dysfunction. TCM compound treatments focus on soothing the liver， strengthening the spleen， calming the heart， and replenishing essence， with formulas such as Xiaoyaosan， Zishui Qinggan Yin， and Chahu Jia Guizhi Longgu Muli Tang. The active components of Chinese herbs mainly aim to tonify and regulate Qi， such as salidroside， ginsenoside Rb₁， astragaloside， and muscone. External TCM treatments， primarily acupuncture， aim to open the orifices and invigorate the spirit. Acupoints such as Baihui， Shenting， and Yintang are commonly used. Additionally， massage and moxibustion therapy can intervene in depression by regulating signaling pathways. This article reviews the core role of signaling pathways in the development of depression and the mechanism of TCM regulation of signaling pathways to intervene in depression， aiming to discover new therapeutic approaches that can improve the symptoms of depressed patients.

Objective To investigate the screening results and factors affecting abnormal detection rates among high-risk groups of esophageal cancer and to explore effective intervention measures. Methods We investigated and collected the information on gender, education level, age, marital status, symptoms of reflux esophagitis (heartburn, acid reflux, belching, hiccup, foreign body sensation in the pharynx, and difficulty swallowing), consumption of pickled vegetables, salt use, and esophageal cancer incidence of villagers in a natural village in Wenfeng District, Anyang City, Henan Province. Changes in reflux esophagitis symptoms in the high-incidence area of esophageal cancer before and after 16 years were observed, and the relationship of such changes with esophageal cancer was analyzed. Results In 2008, 711 cases were epidemiologically investigated, including 213 cases with one of the symptoms of reflux esophagitis such as heartburn, acid reflux, belching, hiccups, foreign body sensation in the pharynx, and difficulty swallowing (sorted in accordance with the abovementioned symptoms; if there are multiple symptoms, then the former is taken); 55 cases with at least two related symptoms, among which the most symptom was heartburn in 108 cases (15.1%); followed by acid reflux, belching, etc. In 2024, the same group of people was investigated, and eight people were missing because of relocation. A total of 703 people were successfully investigated, of which 189 cases (26.8%) had one of the symptoms of reflux esophagitis, such as heartburn (sorted in accordance with relevant symptoms, if there are multiple symptoms, then the former will be selected); 167 cases (23.7%) had at least two related symptoms, among which the most symptom was heartburn in 139 cases (19.7%); followed by acid reflux. Over 16 years, among the 703 people investigated, 45 cases had esophageal cancer and they had one or more of the abovementioned symptoms. No significant differences in the reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.26); no significant differences in the composition of reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.299). Conclusion The detection rate of reflux esophagitis-related symptoms in the population in a high-risk area of esophageal cancer has not decreased in the past 16 years, and the high-risk factors still exist. Esophageal cancer is closely related to reflux esophagitis, and clinical practice can provide early diagnosis and treatment for high-risk population.

Objective To understand the disease spectrum of a natural village in an area with high incidence of esophageal cancer to provide a reference for precise prevention and control. Methods From 2008 to 2024, 711 asymptomatic people over the age of 35 years in a natural village with high incidence of esophageal cancer in China were surveyed, and 171 of them were subjected to gastroscopy, biopsy, and pathological examination. All participants were followed up for a long time, and their disease history was recorded. Results A total of 16 years of follow-up were performed, and 703 people were effectively followed up. In 2008, 171 people underwent gastroscopy, and 160 people had biopsy and pathological results in endoscopic screening. By 2024, 76 people had been diagnosed with malignant tumors of 12 different types, and among these people, 45 had esophageal cancer. Conclusion Esophageal cancer remains a significant cause of morbidity and mortality from malignant tumors in this region. Biopsy and pathological examination should be strengthened during gastroscopy, and follow-ups and regular check-ups should be given high importance to reduce the incidence and mortality rates of esophageal cancer.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Radiopharmaceuticals operate by combining radionuclides with carriers. The radiation energy emitted by radionuclides is utilized to selectively irradiate diseased tissues while minimizing damage to healthy tissues. In comparison to external beam radiation therapy, radionuclide drugs demonstrate research potential due to their biological targeting capabilities and reduced normal tissue toxicity. This article reviews the applications and research progress of radiopharmaceuticals in cancer treatment. Several key radionuclides are examined, including ²²³Ra, ⁹⁰Y, Lutetium-177 (¹⁷⁷Lu), ²¹²Pb, and Actinium-225 (²²⁵Ac). It also explores the current development trends of radiopharmaceuticals, encompassing the introduction of novel radionuclides, advancements in imaging technologies, integrated diagnosis and treatment approaches, and equipment-medication combinations. We review the progress in the development of new treatments, such as neutron capture therapy, proton therapy, and heavy ion therapy. Furthermore, we examine the challenges and breakthroughs associated with the clinical translation of radiopharmaceuticals and provide recommendations for the research and development of novel radionuclide drugs.
Humans ; Radiopharmaceuticals/therapeutic use* ; Neoplasms/radiotherapy* ; Radioisotopes/therapeutic use* ; Animals

Objective To evaluate the application of three deep learning algorithms in automatic segmentation of clinical target volumes (CTVs) in high-dose-rate brachytherapy after surgery for endometrial carcinoma. Methods A dataset comprising computed tomography scans from 306 post-surgery patients with endometrial carcinoma was divided into three subsets: 246 cases for training, 30 cases for validation, and 30 cases for testing. Three deep convolutional neural network models, 3D U-Net, 3D Res U-Net, and V-Net, were compared for CTV segmentation. Several commonly used quantitative metrics were employed, i.e., Dice similarity coefficient, Hausdorff distance, 95th percentile of Hausdorff distance, and Intersection over Union. Results During the testing phase, CTV segmentation with 3D U-Net, 3D Res U-Net, and V-Net showed a mean Dice similarity coefficient of 0.90 ± 0.07, 0.95 ± 0.06, and 0.95 ± 0.06, a mean Hausdorff distance of 2.51 ± 1.70, 0.96 ± 1.01, and 0.98 ± 0.95 mm, a mean 95th percentile of Hausdorff distance of 1.33 ± 1.02, 0.65 ± 0.91, and 0.40 ± 0.72 mm, and a mean Intersection over Union of 0.85 ± 0.11, 0.91 ± 0.09, and 0.92 ± 0.09, respectively. Segmentation based on V-Net was similarly to that performed by experienced radiation oncologists. The CTV segmentation time was < 3.2 s, which could save the work time of clinicians. Conclusion V-Net is better than other models in CTV segmentation as indicated by quantitative metrics and clinician assessment. Additionally, the method is highly consistent with the ground truth, reducing inter-doctor variability and treatment time.

OBJECTIVE To study the effects of leonurine on pancreatic injury in rats with severe acute pancreatitis （SAP）， and to explore its mechanism based on the high-mobility group box 1 （HMGB1）/receptor for advanced glycation end products （RAGE） signaling pathway. METHODS SAP rat model was constructed by injecting 5% sodium taurocholate into the bile duct of the pancreas. Model rats were randomly divided into model group， low dose leonurine group （8 mg/kg）， high dose leonurine group （16 mg/kg）， HMGB1 overexpression group （8 μg/kg）， and high dose leonurine+HMGB1 overexpression group （16 mg/kg+8 μg/kg）， with 14 rats in each group. Another 14 rats were selected as the sham operation group. Rats in each group were injected with corresponding drugs or normal saline via abdominal cavity or tail vein once a day for 5 consecutive days. After the last administration， the levels of serum amylase （AMS） and lipase （LPS） were detected； the pathological injury of pancreatic tissue was observed； the levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， malondialdehyde （MDA） and superoxide dismutase （SOD）， mRNA and protein expressions of HMGB1 and RAGE in pancreatic tissues were detected. RESULTS Compared with model group， the structure of pancreatic tissue in rats gradually recovered in low and high dose leonurine groups； inflammatory cell infiltration gradually decreased； the pathological injury score and the levels of AMS， LPS， TNF-α， IL-6， MDA， the mRNA and protein expressions of HMGB1 and RAGE were significantly decreased， while the SOD levels were significantly increased （P＜0.05）. The high dose leonurine group showed more significant improvement （P＜0.05）； the pathological damage of pancreatic tissue in the HMGB1 overexpression group worsened， and except for a decrease in SOD levels， all other quantitative indicators increased significantly （P＜0.05）. Overexpression of HMGB1 could reduce the improvement effect of high dose leonurine on the above indexes in SAP rats （P＜0.05）. CONCLUSIONS Leonurine may alleviate pancreatic injury， inflammation and oxidative stress in pancreatic tissue of rats with SAP by inhibiting the HMGB1/RAGE signaling pathway.

Objective: To evaluate the risk of fine particulate matter (PM2.5) on excess mortality among residents. Methods: The data of residential mortality in Yangzhou City, Jiangsu Province from 2015 to 2021 were collected from the Chinese Disease Prevention and Control Information System. The average daily mass concentration of PM2.5 and meteorology data were collected from the Yangzhou Environmental Monitoring Station and Yangzhou Meteorological Bureau, respectively. The effects of PM2.5 on non-accidental mortality, morality of respiratory diseases and mortality of circulatory diseases were evaluated using a generalized additive model. The risk of excess mortality was evaluated using excess risk (ER) and the number of excess mortality. Results: The median average annual mass concentration of PM2.5 was 38.00 (interquartile range, 31.95) µg/m3 in Yangzhou City from 2015 to 2021, decreasing from 51.75 (interquartile range, 32.82) µg/m3 in 2015 to 28.00 (interquartile range, 23.42) µg/m3 in 2021. The median average annual number of non-accidental mortality, mortality of respiratory diseases and mortality of circulatory diseases were 96 (interquartile range, 22), 9 (interquartile range, 5) and 38 (interquartile range, 13) cases, respectively. The greatest effects of per 10 μg/m3 increase in PM2.5 mass concentration on non-accidental mortality, mortality of respiratory diseases, and mortality of circulatory diseases were seen at a cumulative lag of 1 day (ER=0.528%, 95%CI: 0.293%-0.763%), a cumulative lag of 2 days (ER=0.917%, 95%CI: 0.125%-1.714%) and a cumulative lag of 1 day (ER=0.595%, 95%CI: 0.232%-0.961%), respectively. The number of excess mortality caused by PM2.5 on non-accidental mortality, mortality of respiratory diseases, and mortality of circulatory diseases in Yangzhou City from 2015 to 2021 were 2 125, 412 and 977 cases, respectively; compared with 2015, the number of excess mortality in 2021 decreased by 66.95%, 75.53% and 64.42%, respectively. Conclusions An increase in the mass concentration of atmospheric PM2.5 may elevate the risk of excess mortality among residents. Compared to 2015, the number of excess deaths attributed to exposure to atmospheric PM2.5 declined in 2021.

Tumor immune microenvironment is a local external tumor environment composed of tumor immune cells and the cytokines secreted by these cells， and it plays a regulatory role in the development and progression of tumors. In the treatment of hepatocellular carcinoma， amino acid metabolism and its reprogramming of proliferating cell metabolism have attracted more and more attention， showing potential in regulating the tumor immune microenvironment. Although amino acid metabolic reprogramming is regarded as a novel approach for tumor therapy， its specific mechanism remains unclear in the regulation of tumor immunity in hepatocellular carcinoma. This article discusses the mechanism of action of amino acid metabolism in the tumor immune microenvironment of hepatocellular carcinoma and its application prospect in clinical practice， in order to provide new ideas for immunotherapy for liver cancer.

Objective: To investigate whether acupoint penetration acupuncture (APA) could regulate chondrocyte autophagy and apoptosis via the PI3K/Akt-mTOR signaling pathway to reduce cartilage degeneration in knee osteoarthritis (KOA) rats. Methods: KOA was induced in rats via intra-articular injection of sodium iodoacetate resolution. Forty male Sprague-Dawley rats were randomly assigned to blank control, model, APA, electro-acupuncture (EA), and sham model groups (n = 8) and those in the APA and EA groups received their respective therapies. Following completion of the treatment course, histological examinations of cartilage and muscle were conducted. Levels of apoptosis- and autophagy-related factors, including Bax, Bcl-2, mTOR, ULK-1, and Beclin-1 protein, and mRNAs were assessed. Additionally, β-endorphin (β-EP) concentrations in the brain and serum were measured. Results: Histological analysis revealed that APA alleviated cartilage and muscle damage compared with the model group. APA inhibited cartilage degeneration by modulating the expression of apoptosis- and autophagy-related proteins and mRNA, thus preventing chondrocyte apoptosis. In the APA group, Bax and mTOR protein levels were significantly lower than those in the model group (both P = .024). Conversely, the Bcl-2 expression level was significantly higher than that in the EA group (P = .035). Additionally, ULK-1 expression was significantly lower than that in the EA group (P = .045). The mRNA level of Bax was significantly higher than that in the blank control group (P < .001). However, Beclin-1 levels were significantly higher than those in both the model and EA groups (both P < .001). ELISA results showed a significant decrease in the concentration of β-EP in the brains of the rats in the APA group compared with those in the model group (P = .032). Conclusions APA reduced osteoarthritis-related pain and alleviated cartilage damage by upregulating chondrocyte autophagy and down-regulating apoptosis via signaling pathways involving PI3K/Akt-mTOR in KOA rats.