The report of the 20th National Congress of the Communist Party of China proposed to implement the strategy of actively responding to population aging， charting a clear direction for China’s elderly care initiatives. Under this background， social workers serve as vital human resources in the elderly care service system， and the full realization of their roles and functions is of great importance. British social workers， through long-term practice in the field of health and elderly care， have developed multifaceted roles， such as providers of personalized care， defenders of rights and interests， educators of health， protectors under special circumstances， collaborators of innovation and development， and supporters in the field of health and elderly care， offering valuable insights for China. Combined with the realities of an aging society， efforts should be advanced from four aspects， including enhancing the recognition of social workers， strengthening their professional skills， promoting cooperation with the elderly care industry， and safeguarding the rights of the elderly， with a view to enabling social workers to better provide high-quality services for Chinese elderly groups in the field of health and elderly care.

To investigate the clinical characteristics and prognosis of extracranial malignant rhabdoid tumor (eMRT) in children, and to provide a reference for the clinical treatment of this disease.

ObjectiveTo investigate the effects of Zuoguiwan on osteoclast activation induced by breast cancer and its mechanism. MethodsTo simulate breast cancer-induced osteoclastic bone metastasis， RAW264.7 cells were cultured in conditioned medium containing 50% supernatant of MDA-MB-231 breast cancer cells. The dosages of Zuoguiwan used in the experiment were sera containing 5% and 10% Zuoguiwan. Tartrate-resistant acid phosphatase （TRAP） staining was used to detect osteoclast activation. Enzyme-linked immunosorbent assay （ELISA） was used to measure Cathepsin K secretion from RAW264.7 cells. Real-time quantitative polymerase chain reaction （PCR） was used to detect the mRNA expression levels of osteocalcin （OCN） and bone sialoprotein （BSP）. Immunoprecipitation was employed to detect the interaction between Runt-related transcription factor 2 （Runx2） and core binding factor β subunit （CBF-β）. Western blot was used to assess the protein expression of Runx2， phosphorylated Runx2 （p-Runx2）， extracellular signal-regulated kinases 1/2 （ERK1/2）， p-ERK1/2， p38 mitogen-activated protein kinase （MAPK）， p-p38 MAPK， and CBF-β. ResultsCompared with the blank group， the MDA-MB-231 cell supernatant group showed a significant increase in TRAP-positive cell counts and Cathepsin K secretion. Meanwhile， the expression levels of p-Runx2， Runx2-CBF-β interaction， BSP and OCN mRNA， p-p38 MAPK， and p-ERK1/2 proteins were significantly decreased （P<0.01）. Compared with the MDA-MB-231 cell supernatant group， Zuoguiwan-containing sera significantly reduced TRAP-positive cell counts and Cathepsin K secretion （P<0.01）， significantly increased p-Runx2， BSP and OCN mRNA expression， as well as p-p38 MAPK and p-ERK1/2 protein levels， and promoted the interaction between Runx2 and CBF-β （P<0.01）. No significant change in Runx2 expression was observed. Compared to the blank group， the BVD-523 group showed significantly lower expression of p-p38 MAPK and p-ERK1/2 proteins （P<0.01）. Compared with the BVD-523 group， both low and high concentration Zuoguiwan-containing sera groups showed significantly higher p-p38 MAPK expression （P<0.01）， and the high concentration Zuoguiwan group also exhibited a significant increase in p-ERK1/2 expression （P<0.01）， while no statistical difference was found in the low-dose group. ConclusionZuoguiwan inhibits osteoclast activation by inducing phosphorylation of the key transcriptional regulator Runx2 in intra-osteoclast bone formation， and this process is closely associated with the activation of the p38 MAPK/ERK signaling pathway.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.

6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.

6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.

OBJECTIVE To analyze the correlation of the peak blood concentration （cmax） of compound sulfamethoxazole （TMP/SMZ） and its metabolite N-acetyl sulfamethoxazole （NSMZ） with clinical efficacy and adverse reactions in critically ill patients. METHODS The data of critically ill patients treated with TMP/SMZ in various ICU of Hainan General Hospital from December 2023 to January 2025 were retrospectively collected. The patients were divided into success group and failure group based on the treatment outcome. Simple linear regression and Spearman correlation analysis were used to analyze the correlation of TMP cmax， SMZ cmax， and NSMZ cmax with clinical efficacy and adverse reactions. The receiver operating characteristic curve （ROC） was used to determine the cutoff values of cmax for predicting the occurrence of adverse reactions. RESULTS Among critically ill patients with an acute physiology and chronic health evaluation Ⅱ （APACHE-Ⅱ） ≥15 points 24 h of check-in at ICU， SMZ cmax of success group was significantly higher than failure group （P＜0.05）. The daily total dose of TMP/SMZ was positively correlated with TMP cmax and SMZ cmax（ P＜0.05）. TMP cmax was significantly correlated with hepatotoxicity and nephrotoxicity， SMZ cmax with hepatotoxicity， and NSMZ cmax with nephrotoxicity （P＜0.05）. The cutoff values of TMP cmax for predicting nephrotoxicity and hepatotoxicity were 7.25 μg/mL and 6.63 μg/mL， respectively. The cutoff value of SMZ cmax for predicting hepatotoxicity was 138.00 μg/mL， and that of NSMZ cmax for predicting nephrotoxicity was 60.76 μg/mL. CONCLUSIONS Among critically ill patients with an APACHE-Ⅱ ≥15 points 24 h of check-in at ICU， SMZ cmax is associated with treatment success. Hepatotoxicity risk significantly increases when TMP cmax ≥6.63 μg/mL or SMZ cmax ≥138.00 μg/mL； nephrotoxicity risk significantly increases when TMP cmax ≥7.25 μg/mL or NSMZ cmax ≥60.76 μg/mL.