Objective:To investigate alterations in the immune lineage of T-cell large granular lymphocytic leukemia (T-LGLL) at the single-cell transcriptome level and to elucidate its pathogenic mechanisms.Methods:Peripheral blood samples were collected from 5 T-LGLL patients before and after treatment (from June 2019 to December 2020) and 3 healthy controls at the Institute of Hematology & Blood Diseases Hospital, CAMS & PUMC. Single-cell transcriptome sequencing libraries were prepared and sequenced using 10× Genomics technology. Differentially expressed genes in immune cells were compared between patients and healthy donors, followed by pathway enrichment analyses.Results:Profiling 67,237 immune cells revealed that, in T-LGLL: 1) Effector CD8+ T cells exhibited increased numbers, enhanced cytotoxicity, and greater proliferative capacity. Following effective immunosuppressive therapy, both the proliferative capacity and effector functions of these cells significantly decreased ( P<0.05). 2) The proportion of regulatory T (Treg) cells was reduced, accompanied by increased apoptosis. After effective immunosuppressive therapy leading to remission, Treg cell proportions increased, and apoptotic pathways were downregulated ( P<0.05). 3) Antigen-presenting cells (APCs) showed enhanced functionality. Monocytes and dendritic cells were enriched in antigen synthesis and presentation pathways, while B cells displayed increased antigen-binding capacity and were enriched in pathways related to T-cell activation ( P<0.05). 4) Natural killer (NK) cells exhibited attenuated cytotoxic function but demonstrated an enhanced regulatory capacity over T cells ( P<0.05) . Conclusions:T-LGLL patients present a characteristic immunological profile marked by an imbalance in immune homeostasis. This profile includes abnormal activation and expansion of effector CD8 + T cells, and a reduction in Treg cell numbers accompanied by functional impairment. Furthermore, APCs and NK cells were found to positively regulate T-lymphocyte activation, differentiation, and proliferation.

To standardize the management of adverse drug reactions in medical institutions and ensure medicine safety,based on relevant national regulations,normative documents,international and domestic adverse drug reaction management guide-lines,and expert opinions,the Chinese Hospital Association Pharmaceutical Specialized Committee led the development of the ad-verse drug reaction management standard.This article elaborated on the formulation process of this standard and provides an in-depth analysis of its key contents.It aimed to offer guidance and reference for medical personnel,helping them to thoroughly under-stand and master the management requirements of adverse drug reactions,thereby enhancing the management level of adverse drug reactions and ensuring the safe use of medications for patients.

Objective To screen the differential expression profile of circ_RNA in OSCC and to elucidate the molecular mechanism of circ_PVT1 on OSCC carcinogenesis.Methods The transcripts of 3 cases of OSCC and normal tissues were sequenced by high-throughput sequencing using circ_RNA expression profile chip,and the differential gene expression profiles were screened,and GO and KEGG enrichment analysis were performed.The expression level of PVT1 in OSCC tissues,human normal oral mucosal cells and OSCC cells was detected by qRT-PCR.The effect of PVT1 on the biological behavior of SCC-25 and SCC-9 cells was evaluated by MTT exper-iment,Transwell experiment and flow cytometry.The effect of PVT1 on the expression of key proteins in the Wnt3a/β-catenin pathway was evaluated by Western blot.The relationship between the expression of PVT1 and clinical pathological characteristics and prognosis of patients was further studied.Results A total of 403 differentially expressed circ_RNAs were screened by the chip,and the differen-tially expressed genes were enriched in pathways related to cancer progression.PVT1 was highly expressed in OSCC tissues and cells.Silencing PVT1 expression could inhibit the activation of the Wnt3a/β-catenin pathway,thereby effectively inhibiting the proliferation,migration,invasion and cell cycle of SCC-25 and SCC-9 cells and promoting apoptosis.PVT1 expression was only associated with lymph node metastasis and distant metastasis in patients,and those with high expression had a shorter PFS.Conclusion PVT1 promotes the progression of OSCC by regulating the activation of Wnt3a/β-catenin pathway.The research results provide new ideas for the diagnosis and treatment of OSCC.

Objective:To evaluate the cost-effectiveness of Artificial Intelligence(AI)-assisted physician image interpretation in the screening of early-stage lung cancer(stage Ⅰ)from the perspective of the healthcare system,so as to provide evidence for screening strategy optimization.Methods:Based on community populations,a decision tree model was constructed to simulate the cost-effectiveness of two screening strategies:Al-assisted physician image interpretation and independent physician image interpretation,and the Incremental Cost-Effectiveness Ratio(ICER)was calculated.Results:In the basic analysis,the per capita costs of the AI-assisted group and the physician group were 1 483 yuan and 1 489 yuan,respectively,and the effectiveness was 17.02 Quality-Adjusted Life Years(QALYs)and 16.99 QALYs,respectively.Compared with the physician group,the AI-assisted group saved 6 yuan per case and obtained an additional 0.03 QALY per case.The ICER was negative,indicating that the AI-assisted group had an absolute advantage.Threshold analysis showed that when the inspection cost of Al-assisted physician image interpretation increased to 428 yuan per case,the average cost per case was the same between these two groups,and the ICER was 0.When the inspection cost of Al-assisted physician image interpretation was above 428 yuan,the ICER was positive,still demonstrating economic efficiency.Conclusion:AI-assisted image interpretation is cost-effective in the screening of early-stage lung cancer and can facilitate the"early detection,early diagnosis,and early treatment"of lung cancer based on improving the efficiency and accuracy of screening,so as to provide scientific support for health system resource optimization.

To standardize the management of adverse drug reactions in medical institutions and ensure medicine safety,based on relevant national regulations,normative documents,international and domestic adverse drug reaction management guide-lines,and expert opinions,the Chinese Hospital Association Pharmaceutical Specialized Committee led the development of the ad-verse drug reaction management standard.This article elaborated on the formulation process of this standard and provides an in-depth analysis of its key contents.It aimed to offer guidance and reference for medical personnel,helping them to thoroughly under-stand and master the management requirements of adverse drug reactions,thereby enhancing the management level of adverse drug reactions and ensuring the safe use of medications for patients.

Objective To screen the differential expression profile of circ_RNA in OSCC and to elucidate the molecular mechanism of circ_PVT1 on OSCC carcinogenesis.Methods The transcripts of 3 cases of OSCC and normal tissues were sequenced by high-throughput sequencing using circ_RNA expression profile chip,and the differential gene expression profiles were screened,and GO and KEGG enrichment analysis were performed.The expression level of PVT1 in OSCC tissues,human normal oral mucosal cells and OSCC cells was detected by qRT-PCR.The effect of PVT1 on the biological behavior of SCC-25 and SCC-9 cells was evaluated by MTT exper-iment,Transwell experiment and flow cytometry.The effect of PVT1 on the expression of key proteins in the Wnt3a/β-catenin pathway was evaluated by Western blot.The relationship between the expression of PVT1 and clinical pathological characteristics and prognosis of patients was further studied.Results A total of 403 differentially expressed circ_RNAs were screened by the chip,and the differen-tially expressed genes were enriched in pathways related to cancer progression.PVT1 was highly expressed in OSCC tissues and cells.Silencing PVT1 expression could inhibit the activation of the Wnt3a/β-catenin pathway,thereby effectively inhibiting the proliferation,migration,invasion and cell cycle of SCC-25 and SCC-9 cells and promoting apoptosis.PVT1 expression was only associated with lymph node metastasis and distant metastasis in patients,and those with high expression had a shorter PFS.Conclusion PVT1 promotes the progression of OSCC by regulating the activation of Wnt3a/β-catenin pathway.The research results provide new ideas for the diagnosis and treatment of OSCC.

Objective:To evaluate the cost-effectiveness of Artificial Intelligence(AI)-assisted physician image interpretation in the screening of early-stage lung cancer(stage Ⅰ)from the perspective of the healthcare system,so as to provide evidence for screening strategy optimization.Methods:Based on community populations,a decision tree model was constructed to simulate the cost-effectiveness of two screening strategies:Al-assisted physician image interpretation and independent physician image interpretation,and the Incremental Cost-Effectiveness Ratio(ICER)was calculated.Results:In the basic analysis,the per capita costs of the AI-assisted group and the physician group were 1 483 yuan and 1 489 yuan,respectively,and the effectiveness was 17.02 Quality-Adjusted Life Years(QALYs)and 16.99 QALYs,respectively.Compared with the physician group,the AI-assisted group saved 6 yuan per case and obtained an additional 0.03 QALY per case.The ICER was negative,indicating that the AI-assisted group had an absolute advantage.Threshold analysis showed that when the inspection cost of Al-assisted physician image interpretation increased to 428 yuan per case,the average cost per case was the same between these two groups,and the ICER was 0.When the inspection cost of Al-assisted physician image interpretation was above 428 yuan,the ICER was positive,still demonstrating economic efficiency.Conclusion:AI-assisted image interpretation is cost-effective in the screening of early-stage lung cancer and can facilitate the"early detection,early diagnosis,and early treatment"of lung cancer based on improving the efficiency and accuracy of screening,so as to provide scientific support for health system resource optimization.

Objective:To investigate alterations in the immune lineage of T-cell large granular lymphocytic leukemia (T-LGLL) at the single-cell transcriptome level and to elucidate its pathogenic mechanisms.Methods:Peripheral blood samples were collected from 5 T-LGLL patients before and after treatment (from June 2019 to December 2020) and 3 healthy controls at the Institute of Hematology & Blood Diseases Hospital, CAMS & PUMC. Single-cell transcriptome sequencing libraries were prepared and sequenced using 10× Genomics technology. Differentially expressed genes in immune cells were compared between patients and healthy donors, followed by pathway enrichment analyses.Results:Profiling 67,237 immune cells revealed that, in T-LGLL: 1) Effector CD8+ T cells exhibited increased numbers, enhanced cytotoxicity, and greater proliferative capacity. Following effective immunosuppressive therapy, both the proliferative capacity and effector functions of these cells significantly decreased ( P<0.05). 2) The proportion of regulatory T (Treg) cells was reduced, accompanied by increased apoptosis. After effective immunosuppressive therapy leading to remission, Treg cell proportions increased, and apoptotic pathways were downregulated ( P<0.05). 3) Antigen-presenting cells (APCs) showed enhanced functionality. Monocytes and dendritic cells were enriched in antigen synthesis and presentation pathways, while B cells displayed increased antigen-binding capacity and were enriched in pathways related to T-cell activation ( P<0.05). 4) Natural killer (NK) cells exhibited attenuated cytotoxic function but demonstrated an enhanced regulatory capacity over T cells ( P<0.05) . Conclusions:T-LGLL patients present a characteristic immunological profile marked by an imbalance in immune homeostasis. This profile includes abnormal activation and expansion of effector CD8 + T cells, and a reduction in Treg cell numbers accompanied by functional impairment. Furthermore, APCs and NK cells were found to positively regulate T-lymphocyte activation, differentiation, and proliferation.

Objective: This study aimed to determine the predictive performance of non-contrast CT (NCCT) signs for hemorrhagic growth after intracerebral hemorrhage (ICH) when stratified by onset-to-imaging time (OIT). Materials and Methods: 1488 supratentorial ICH within 6 h of onset were consecutively recruited from six centers between January 2018 and August 2022. NCCT signs were classified according to density (hypodensities, swirl sign, black hole sign, blend sign, fluid level, and heterogeneous density) and shape (island sign, satellite sign, and irregular shape) features. Multivariable logistic regression was used to evaluate the association between NCCT signs and three types of hemorrhagic growth: hematoma expansion (HE), intraventricular hemorrhage growth (IVHG), and revised HE (RHE). The performance of the NCCT signs was evaluated using the positive predictive value (PPV) stratified by OIT. Results: Multivariable analysis showed that hypodensities were an independent predictor of HE (adjusted odds ratio [95% confidence interval] of 7.99 [4.87–13.40]), IVHG (3.64 [2.15–6.24]), and RHE (7.90 [4.93–12.90]). Similarly, OIT (for a 1-h increase) was an independent inverse predictor of HE (0.59 [0.52–0.66]), IVHG (0.72 [0.64–0.81]), and RHE (0.61 [0.54– 0.67]). Blend and island signs were independently associated with HE and RHE (10.60 [7.36–15.30] and 10.10 [7.10–14.60], respectively, for the blend sign and 2.75 [1.64–4.67] and 2.62 [1.60–4.30], respectively, for the island sign). Hypodensities demonstrated low PPVs of 0.41 (110/269) or lower for IVHG when stratified by OIT. When OIT was ≤ 2 h, the PPVs of hypodensities, blend sign, and island sign for RHE were 0.80 (215/269), 0.90 (142/157), and 0.83 (103/124), respectively. Conclusion Hypodensities, blend sign, and island sign were the best NCCT predictors of RHE when OIT was ≤ 2 h. NCCT signs may assist in earlier recognition of the risk of hemorrhagic growth and guide early intervention to prevent neurological deterioration resulting from hemorrhagic growth.

The composition of serum is extremely complex,which complicates the discovery of new pharmaco-dynamic biomarkers via serum proteome for disease prediction and diagnosis.Recently,nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum.Here,we synthesized a silica-coated iron oxide nanoparticle and devel-oped a highly efficient and reproducible protein corona(PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis.We identified 1,070 proteins with a median coefficient of variation of 12.56％using PC-based proteomic analysis,which was twice the number of proteins iden-tified by direct digestion.There were also more biological processes enriched with these proteins.We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis(CIA)rat model treated with methotrexate(MTX).The bioinformatic results indicated that 485 differentially expressed proteins(DEPs)were found in CIA rats,of which 323 DEPs recovered to near normal levels after treatment with MTX.This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies,but also provide more pharmacodynamic biomarkers for disease prediction,diagnosis,and treatment.