Background Depressive symptoms have become a significant factor affecting the physical and mental health of the occupational population, and workers in petroleum refining enterprises face multiple stressors in their work environment. Objective To explore the impact of occupational noise exposure on depressive symptoms among workers in a petroleum refining enterprise. Methods This cross-sectional study was conducted in July 2024 using a questionnaire survey among workers of a petroleum refining enterprise in Hainan Province. Basic information of the subjects was collected. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms, the Chinese version of the Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality, and the Chinese version of the Effort-Reward Imbalance (ERI) scale was used to evaluate occupational stress. Chi-square test was employed to compare the differences in reporting depressive symptoms among populations with different characteristics. Binary logistic regression models were used to analyze the impact of occupational noise exposure and other factors on depressive symptoms. Results The overall positive rate of depressive symptoms in the study population was 42.7%. The results of the multifactor analysis indicated that compared with the control group, employees in both the low-exposure and high-exposure groups had elevated odds of depressive symptoms, with OR (95%CI) of 2.244 (1.131, 4.454) and 1.970 (1.009, 3.850), respectively. This association remained robust after adjusting for potential confounders, including gender, age, work tenure, and other occupational exposures. Additionally, female [OR (95%CI)=1.483 (1.039, 2.118)], exposure to benzene, toluene, or xylene [OR (95%CI)=1.621 (1.208, 2.174)], sleep disturbance [OR (95%CI)=3.772 (2.942, 4.838)], and occupational stress [OR (95%CI)=2.018 (1.575, 2.585)] were also significantly associated with higher odds of depressive symptoms. Conclusion The positive rate of depressive symptoms is relatively high among employees in this petrochemical enterprise, and occupational noise exposure may be a risk factor for depressive symptoms.

ObjectiveThis paper aims to investigate the role of NDC80 kinetochore complex component （NUF2） and magnesium homeostasis in ovarian cancer cell apoptosis， as well as the regulatory mechanism of gypenoside L （Gyp-L） on NUF2 and magnesium homeostasis. MethodsOvarian cancer OVCAR3 cells were divided into a blank control group， a low-concentration Gyp-L group （50 µmol·L^-1）， a high-concentration Gyp-L group （100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The migration， proliferation， and apoptosis capabilities of OVCAR3 cells were evaluated through cell scratch assays， clonal experiments， and terminal-deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling assay （TUNEL） staining. Differentially expressed genes of ovarian cancer were screened by using the Gene Expression Omnibus （GEO） database. The interaction relationships of differentially expressed genes and proteins were analyzed via the Search Tool for Recurring Instances of Neighbouring Genes （STRING） database. The prognostic survival analysis was performed by using the Tumor Immune Estimation Resource （TIMER） database， and the differential expression levels of genes were validated with the Gene Expression Profiling Interactive Analysis （GEPIA） database. The mRNA expression levels of NUF2， magnesium homeostasis-related indicators， such as magnesium transporter 1 （MAGT1）， non-imprinted in Prader-Willi/Angelman syndrome 1 （NIPA1）， NIPA-like domain containing 1 （NIPAL1）， as well as apoptosis-related indicators B cell lymphoma-2 （Bcl-2） and Bcl-2-associated X protein （Bax） in OVCAR3 cells， were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of NUF2， MAGT1， NIPA1， NIPAL1， Bcl-2， and Bax in OVCAR3 cells were quantitatively analyzed by ProteinSimple WES. A model of overexpression of NUF2 was constructed， and Gyp-L intervention was performed. The molecular mechanism by which Gyp-L induces ovarian cancer cell apoptosis by regulating NUF2 and influencing magnesium homeostasis was quantitatively analyzed and detected through cell cloning， TUNEL staining， Real-time PCR， and ProteinSimple WES. Finally， the Mg²⁺ content and protein synthesis efficiency were detected by immunofluorescence. ResultsGyp-L significantly inhibited the migration and proliferation capabilities of OVCAR3 cells and promoted their apoptosis （P<0.05）. Overexpression of NUF2 markedly increased the expression levels of MAGT1， NIPA1， NIPAL1， and Bcl-2， while reducing the expression level of Bax （P<0.05）. It also significantly elevated intracellular Mg²⁺ content and protein synthesis efficiency and simultaneously inhibited apoptosis （P<0.05）. Gyp-L could reverse the magnesium homeostasis imbalance and apoptosis inhibition caused by the overexpression of NUF2， downregulating the expression levels of NUF2， MAGT1， NIPA1， NIPAL1， and Bcl-2 （P<0.05）， while upregulating the expression level of Bax （P<0.05）. ConclusionGyp-L can inhibit the occurrence of ovarian cancer， and its mechanism may involve inhibiting the expression of NUF2 to maintain magnesium homeostasis and inducing apoptosis of ovarian cancer cells.

Autoimmune hepatitis （AIH） is a chronic inflammatory liver disease mediated by T lymphocytes， and it can progress to liver cirrhosis or even liver failure without timely intervention. As a natural flavonoid compound， naringenin （NAR） shows a potential value in the prevention and treatment of AIH through multiple mechanisms such as remodeling immune homeostasis， targeted inhibition of inflammatory pathways， antioxidation， regulating hepatocyte metabolism and apoptosis， improving mitochondrial function， and regulating intestinal flora. However， the clinical translation and application of NAR is limited by issues such as low bioavailability and insufficient efficiency of liver-targeted delivery. This article systematically reviews the mechanism of action of NAR in the prevention and treatment of AIH， explores the potential signaling pathways involved in this process， and analyzes existing challenges in its translation and application and future research directions， so as to provide a reference for further research on NAR and its application in the prevention and treatment of AIH.

This article reports a 14-year-old boy who presented with "a nearly 7-year history of a right upper arm mass and a more than 1-year history of cervical lymphadenopathy". His main clinical manifestations included a subcutaneous mass in the right upper arm, bilateral eyelid and submandibular masses, and multiple enlarged cervical lymph nodes, accompanied by persistent peripheral blood eosinophilia. Biopsies of the right upper arm lesion and a left submandibular lymph node showed lymphoid hyperplasia with prominent eosinophilic infiltration, vascular and fibrous tissue proliferation, and eosinophilic microabscess formation in the left submandibular lymph node, confirming the diagnosis of Kimura′s disease. The lesions regressed markedly after glucocorticoid therapy but recurred after treatment discontinuation. Because the patient and his family were concerned about long-term glucocorticoid therapy, mepolizumab was subsequently administered. Peripheral eosinophil counts normalized, whereas the local tissue lesions showed limited improvement. A multidisciplinary team comprehensively evaluated the diagnosis, the need for repeat biopsy of atypical lymph nodes on imaging, the possible association between the cardiac valve abnormalities and the underlying disease, and subsequent treatment options. The patient is currently receiving methotrexate with folic acid supplementation and remains under regular follow-up. This case indicates that the diagnosis of Kimura′s disease relies on clinical manifestations and histopathological findings. Once diagnosed, comprehensive evaluation, individualized treatment, and long-term management should be implemented.

ObjectiveTo analyze the current status of traditional Chinese medicine （TCM） prediction model research for emerging acute infectious diseases， in order to provide reference for subsequent model construction and optimization. MethodsEight databases， including PubMed， Cochrane Library， and Embase， were systematically searched to comprehensively collect Chinese and English literature on TCM prediction models for emerging acute infectious diseases. The search period ranged from database inception to July 5， 2024. Reporting quality compliance was evaluated using the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis—Traditional Chinese Medicine （TRIPOD-TCM） guideline. Risk of bias and applicability were assessed using the Prediction Model Risk of Bias Assessment Tool （PROBAST）. ResultsA total of 21 studies were included， comprising 11 early warning model studies， 5 diagnostic model studies， 3 prognostic model studies， and 2 prescription prediction model studies， involving 84 models in total. The diseases involved were mainly viral infectious diseases such as coronavirus disease 2019 （COVID-19） and hepatitis B. The most frequently applied TCM theory was the "five movements and six climates" theory. The most commonly used modeling method was neural network-based approaches. The most frequently reported predictive factors were meteorological variables， including daily mean temperature， wind speed， precipitation， relative humidity， and vapor pressure. In terms of reporting quality， the included studies showed poor item-level compliance， with only 13 sub-items achieving compliance rates above 50%. Overall compliance ranged from 27% to 59% across studies. Although the included studies showed relatively good applicability， all were assessed as having a high risk of bias. The main sources of bias included inappropriate handling of missing data， absence of calibration methods， and unreasonable validation strategies， indicating deficiencies across multiple stages of model development. ConclusionCurrent research on TCM prediction models for emerging acute infectious diseases exhibits distinctive modeling characteristics. These models are based on traditional TCM theories such as the "five movements and six climates"， incorporate TCM-specific features as predictive variables， and use TCM syndromes as outcomes. However， they generally suffer from low reporting compliance and a high risk of bias. Future studies should systematically design model development and validation processes， adhere to TRIPOD-TCM reporting standards， and apply PROBAST or develop dedicated bias risk assessment tools for TCM prediction models to improve methodological quality and promote their translation into clinical practice.

[Objective] To investigate the protective effect of Salvia miltiorrhiza injection (SMI) on the kidneys of HBOC-CHP01 resuscitated haemorrhagic shock rats. [Methods] A 50% haemorrhagic shock rat model was established, with 12 rats divided into two groups: SMI + HBOC-CHP01 group and HBOC-CHP01 group, with 6 rats in each group. The rats in the SMI+ HBOC-CHP01 group were given an equal volume of HBOC-CHP01 for resuscitation after haemorrhagic shock, and an 8 mL/kg dose of SMI. Rats in the HBOC-CHP01 group were resuscitated by administering an equilibrium blood loss volume of HBOC-CHP01 and given an 8 mL/kg dose of 0.9% NaCl solution. Blood was taken from rats at five points: before bloodletting (baseline), during haemorrhagic shock (HS), immediately after resuscitation (RS0h), 1 h after resuscitation (RS1h), and 24 h after resuscitation (RS24h). A blood gas analyser was used to detect the lactate level (Lac), glucose content (Glu), residual base (BEecf), pH, bicarbonate (HCO3-), high iron haemoglobin (MetHb). White blood cells (WBC), platelets (PLT), haemoglobin content (Hb), carboxyhaemoglobin (COHb) were detected using a quintuple classification. Blood creatinine (SCr), uric acid (UA), kidney-related indexes were detected using biochemistry instrument. Kidney tissues of the rats were taken after 24 h of resuscitation and after execution, and the inflammation of kidneys of the rats of the two groups was analyzed using HE staining. Fluorescence staining was used to detect the level of ROS in the kidneys of rats in both groups. [Results] At RS 0h, the Beecf, Glu and Lac levels of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group, and the pH level of rats in the SMI+HBOC-CHP01 group was significantly higher than that of rats in the HBOC-CHP01 group, and the Glu levels of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group at RS 1h. At RS 0h, the WBC, PLT and COHb contents of rats in the SMI+HBOC-CHP01 group were all significantly higher than those of rats in the HBOC-CHP01 group, and at RS 1h, the WBC content of rats in the SMI+HBOC-CHP01 group was significantly higher than that of rats in the HBOC-CHP01 group; at RS 1h, the UA content of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC-CHP01 group; at RS 24h, the SCr content of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC-CHP01 group; at RS 24h, the inflammation level of kidney tissues of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC -CHP01 group rats, and the ROS and MPO levels in the kidney tissues of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group. [Conclusion] The combination of Salvia miltiorrhiza injection during the resuscitation of rats with severe haemorrhagic shock by HBOC-CHP01 can alleviate renal injury by reducing inflammatory response and oxidative stress.

[Objective] To extract hemoglobin (Hb) from red blood cells using osmotic pressure swelling method, expected to achieve a hemoglobin dissolution rate of ≥80% and a cell membrane integrity rate of ≥70%. [Methods] Human umbilical cord blood red blood cells were used as raw materials and phosphate buffer solution was used as the swelling solution for red blood cells. A three factor three-level orthogonal experiment (n=3) was conducted to determine the optimal matching conditions for selecting the osmolality molar concentration of phosphate buffer solution, pH value of hypotonic phosphate buffer solution and volume ratio of hypotonic phosphate buffer solution to washed red blood cells. Red blood cell swelling solution samples (n=6) were prepared by the optimal matching conditions and the original process conditions. The hemoglobin dissolution rate and cell membrane integrity rate were checked. In the expanded comparative experiment, red blood cell swelling solution samples (n=6) were prepared by the optimal matching conditions and the original process conditions, which was filtered by ultrafiltration membranes. The filtration time and hemoglobin yield were checked. [Results] The optimal matching conditions for preparing red blood cell swelling solution were obtained through orthogonal experiment as follows: osmotic pressure molar concentration was 30 mOsmol/Kg, pH was 7.8, and phosphate buffer to red blood cell volume ratio was 6∶1. On the basis of the above conditions, the red blood cell swelling solution sample was compared with the original process sample: the hemoglobin dissolution rate was (82.4±1.8)% vs (78.6±3.0)% (P<0.05), and the cell membrane integrity rate was (65.8±4.0)% vs (28.7±2.3)% (P<0.05). In the expanded comparative experiment, the optimal matching conditions were compared with the original process conditions: filtration time(s) (327±9) vs (434±13) (P<0.05), and hemoglobin yield was (72.3±1.2)% vs (66.0±1.4)% (P<0.05). [Conclusion] Compared with the original preparation process, the hemoglobin extraction process which optimized through orthogonal experiments greatly reduces the cell membrane fragmentation rate and minimizes the entry of cell membrane matrix into the target solution, ensuring a slightly higher hemoglobin dissolution rate, and reducing the preparation difficulty for the subsequent cell membrane separation and further purification.

BACKGROUND:Non-coding RNA,as a class of RNA molecules that do not encode proteins,plays a crucial role in cellular regulation.Simultaneously,mesenchymal stem cells possess multipotent differentiation capabilities,making them vital for tissue repair and regeneration.In recent years,researchers have extensively explored the role of non-coding RNA in regulating the functions of mesenchymal stem cells. OBJECTIVE:To systematically understand the trends and key areas of research related to non-coding RNA and mesenchymal stem cells through bibliometric analysis. METHODS:Literature data on non-coding RNA and mesenchymal stem cell-related research were retrieved from the Science Citation Index Expanded in the Web of Science Core Collection from 1990 to the present.The literature data were analyzed using bibliometric tools such as VOSviewer and CiteSpace,focusing on publication output,clustering,citation frequency,burstiness,and intermediary centrality with respect to years,countries or regions,research institutions,cited references,and keywords.This analysis aimed to reveal the knowledge base and emerging hotspots in the research field. RESULTS AND CONCLUSION:(1)This study included a total of 5 348 articles for analysis,showing a significant growth trend in relevant literature from 1997 to 2021.Although there was a slight decrease in 2022,the publication output remained at a high level.China dominated the research in this field,with Shanghai Jiao Tong University being the most active contributor.(2)Analysis of cited references revealed that highly bursty,intermediary,and cited articles were mainly related to topics such as microRNA,extracellular vesicles,and bone metabolism.These articles constitute an important knowledge base for research on non-coding RNA and mesenchymal stem cells.(3)Burstiness analysis of keywords identified persistent bursts in keywords such as exosomes,circular RNA,extracellular vesicles,and injury.(4)Cluster evolution analysis of keywords with continuous growth in publication output included clusters related to tumor microenvironment,osteoarthritis,oxidative stress,and extracellular vesicles.These keywords reflect the current and future research hotspots in the field.(5)The findings of this study not only illustrate the research trends in the field of non-coding RNA and mesenchymal stem cells but also provide potential directions and insights for researchers.

Objective To propose a knowledge graph embedding model that can help discover potential anti-SARS-CoV-2 drugs from approved drugs by combining semantic information with knowledge graph structural information.Methods Potential therapeutic drugs were predicted by using the head entity prediction task in knowledge graph completion.Results Six potential drugs were predicted,including naratriptan,sumatriptan,colchicine,doxorubicin,diphenhydramine and hydrocortisone.Conclusion The combination of semantic information and knowledge graphstructural information can enhance the representation capability of a knowledge graph embedding model,and provide a novel approach to research on anti-SARS-CoV-2 drug discovery.

Abstract Inhibitor of DNA binding 1(ID1) is a crucial regulator of cell differentiation and plays a significant role in maintaining normal hematopoietic differentiation and development. Due to the lack of DNA-binding motif, ID1 functions as a dominant-negative inhibitor of basic helix-loop-helix factors to antagonize their abilities to bind to DNA and transcriptionally regulate target genes. Abnormal expression of ID1 is strongly associated with various hematologic disorders, including myeloid and lymphoblastic leukemia, multiple myeloma and myeloproliferative neoplasms. ID1 acts as a potential oncogene by participating in multiple signaling pathways that promote the malignant proliferation, invasion and therapy resistance in leukemic cells. Significant strides have yielded promising antileukemic effects of ID1 inhibitors, both alone and in combination with targeted therapies against oncogenic signaling pathways. Here, we review the relationship between ID1 expression and the initiation and progression of blood disorders, and summarize the clinical significance of ID1 as a novel therapeutic target and potential prognostic biomarker for hematologic malignancies.