Although a single nucleotide polymorphism for N-acetyltransferase 10 (NAT10) has been identified in patients with early-onset stroke, the role of NAT10 in ischemic injury and the related underlying mechanisms remains elusive. Here, we provide evidence that NAT10, the only known RNA N4-acetylcytidine (ac4C) modification "writer", is increased in the damaged cortex of patients with acute ischemic stroke and the peri-infarct cortex of mice subjected to photothrombotic (PT) stroke. Pharmacological inhibition of NAT10 with remodelin on Days 3-7 post-stroke or astrocytic depletion of NAT10 via targeted virus attenuates ischemia-induced infarction and improves functional recovery in PT mice. Mechanistically, NAT10 enhances ac4C acetylation of the inflammatory cytokine tissue inhibitor of metalloproteinase 1 (Timp1) mRNA transcript, which increases TIMP1 expression and results in the accumulation of microtubule-associated protein 1 light chain 3 (LC3) and progression of astrocyte autophagy. These findings demonstrate that NAT10 regulates astrocyte autophagy by targeting Timp1 ac4C after stroke. This study highlights the critical role of ac4C in the regulation of astrocyte autophagy and proposes a promising strategy to improve post-stroke outcomes via NAT10 inhibition.

Breast cancer is the most common malignant tumor in women worldwide,and its incidence rate is increasing annually.Early dia-gnosis is essential for improving patient prognosis.In recent years,artificial intelligence(AI)technology has emerged as a transformative tool,providing new directions for accurate diagnostic and prognostic assessments.This article systematically reviews research progress in the ap-plication of AI to breast cancer screening,multimodal imaging techniques for diagnosis,pathological diagnosis,treatment,and prognostic modeling.Through machine learning and deep learning algorithms,AI has demonstrated significant advantages in the enhancement of dia-gnostic accuracy,efficiency,and accessibility,including improvement of the detection rate of small lesions,reduction in the radiologists'workload,and optimization of treatment decisions.Despite challenges,including the integration of explainable technology in clinical trans-formation,lack of data standardization,complexity of multimodal data,and risk of model generalization,AI is expected to play a more prom-inent role in the precise diagnosis and intelligent therapy for breast cancer,thereby contributing to the full realization of the goal of preci-sion medicine.

Objective:To prepare heparin (Hep)-modified gelatin methacryloyl (GelMA) microspheres and to investigate their application in liver-targeted delivery of adipose-derived mesenchymal stem cells (ADSCs).Methods:GelMA microspheres were modified with Hep to obtain GelMA-Hep microspheres. The surface morphology of the GelMA-Hep microspheres was observed by scanning electron microscopy. The changes of carbon atoms, nitrogen atoms and sulfur atoms on the surface of the GelMA-Hep microspheres were detected by X-ray photoelectron spectroscopy. The surface chemical group composition of the GelMA-Hep microspheres was analyzed by Fourier transform infrared spectrometer. The swelling properties of the GelMA-Hep microspheres were detected by water absorption swelling experiment. Human liver HL-7702 cells transfected with lentivirus were co-cultured with GelMA, GelMA-dopamine (GelMA-dop) and GelMA-Hep microspheres. The effects of microspheres on cell proliferation activity were evaluated by cell counting kit-8 method and live/dead cell staining experiment. The adhesion of microspheres to cells was observed by confocal microscopy. The GelMA-Hep microspheres loaded with ADSCs were injected into C57BL/6 mice through the tail vein, and its efficiency of liver-targeted delivery of ADSCs was observed by a small animal in vivo imaging system. The data were compared by independent sample t test or one-way analysis of variance. Results:The GelMA-Hep microspheres were prepared by modifying the GelMA microspheres with Hep. Compared with the GelMA microspheres, the size of the GelMA-Hep microspheres did not change significantly, and the surface did not collapse and showed some crystalline particles. The binding energy of sulfur atoms on the surface of the GelMA-Hep microspheres increased from 166 eV to 168 eV. On the surface of the GelMA-Hep microspheres, the characteristic peaks of sulfonic acid and sulfate groups of Hep were detected at 1 490 cm ?1 and from 1 135 cm ?1 to 1 050 cm ?1, respectively. The swelling rate of the GelMA-dop microspheres was uniform, while the swelling rate of the GelMA microspheres and the GelMA-Hep microsphere was quite different, but the final swelling mass of the three microspheres tended to be consistent at 5 min. After 12, 24, 36 and 48 h of culture, the relative proliferation of cells in the GelMA-Hep group (1.61±0.29, 1.78±0.05, 2.27±0.08, 2.26±0.33) were higher than those in the negative control group (1.00±0.00, 1.28±0.06, 1.39±0.02, 1.41±0.04) (all P<0.05). After 36 h of culture, the relative proliferation of cells in the GelMA-Hep group was higher than that in the GelMA-dop group (1.63±0.21), with significant difference ( P<0.05). Live/dead cell staining experiment showed that after 12 h of cell culture in the GelMA-Hep group, only a few microspheres had cell adhesion; at 24 h, the cells were densely distributed on the surface of the microspheres. After 36 h, the number of cells increased further. At 48 h, live cells were distributed throughout the microspheres. Confocal microscopy showed that after 24 h of culture, cells adhered to the surface of the microspheres in the GelMA-Hep group and showed a stretched morphology. The liver of the GelMA-Hep+ADSCs group showed strong fluorescence at 0.5 h, and the fluorescence brightness continued to 48.0 h. The number of ADSCs reaching the liver was more than that of ADSCs group and GelMA+ADSCs group. Conclusions:GelMA-Hep microspheres were successfully prepared, which can improve the efficiency of liver-targeted delivery of ADSCs.

SMARCA4-deficient non small cell lung cancer (SMARCA4-dNSCLC) has recently garnered increasing attention due to its high malignancy and poor prognosis. The literature suggests that in non small cell lung cancer (NSCLC), the loss of SMARCA4 frequently co-occurs with mutations in KRAS, KEAP1, and STK11 rather than in EGFR, ALK, and ROS1. Herein, we present the first documented case of SMARCA4-dNSCLC accompanied with rare mutations of EGFR exon 20 S768I and exon 18 G719X. The patient achieved partial response with afatinib for 17 months. Our case highlights the importance of EGFR mutations in the precision targeted treatment of SMARCA4-dNSCLC.
Humans ; Afatinib/therapeutic use* ; Antineoplastic Agents/therapeutic use* ; Carcinoma, Non-Small-Cell Lung/pathology* ; DNA Helicases/genetics* ; ErbB Receptors/genetics* ; Lung Neoplasms/pathology* ; Mutation ; Nuclear Proteins/genetics* ; Transcription Factors/genetics*

Objective To explore the changes of core symptoms and nursing strategies for lymphoma patients during chemotherapy using a dynamic network analysis model,and provide a reference for precise symptom intervention.Methods A longitudinal study was conducted,and lymphoma patients undergoing chemotherapy in the Department of Lymphoma at a tertiary hospital in Tianjin from September 2021 to December 2023 were conveniently sampled.The Lymphoma Patient Symptom Assessment Scale was used to track symptoms at 3 time points:7 to 14 days after the 1st treatment cycle(T1),the 3rd cycle(T2),and the 6th cycle(T3).Dynamic symptom network analysis,including network relationships,core symptoms,and bridge symptoms,was performed using R software.Results During the research process,135 participants withdrew,resulting in a final inclusion of 865 cases for analysis.Fatigue exhibited the highest incidence rate(34.80％)at T1;alopecia was the most prevalent symptom(58.03％and 53.64％,respectively)at T2 and T3.The T1→T2 dynamic network analysis showed that fever had the highest out-expected influence(EI=0.551)and bridge expected influence(EI=0.225).The T2→T3 dynamic network analysis showed that limb numbness exhibited the highest out-expected influence(EI=0.203)and bridge-expected influence(EI=0.170).Reliability tests indicated that both dynamic networks demonstrated moderate accuracy but suboptimal stability.Conclusion Fatigue was the most common symptom at T1;alopecia was the most prevalent symptom at T2 and T3.Fever was the core symptom and bridging symptom in the T1→T2 symptom network,whereas limb numbness assumed the role of the core symptom and bridging symptom in the T2→T3 symptom network.The clinical practitioners could take high-incidence symptoms and core symptoms as intervention targets to develop precise symptom management strategies for lymphoma patients undergoing chemotherapy.

BACKGROUND:With the increasing demand for orthopedic implants,the search for materials with good biocompatibility and degradability has become a research hotspot.Magnesium-lithium-gadolinium(Mg-Li-Gd)alloy has good degradability,biocompatibility,and mechanical properties,providing ideal supporting conditions for fracture healing.OBJECTIVE:To evaluate the effects of Mg-Li-Gd alloy implants on bone healing in rats.METHODS:A circular half-defect model was made on the lateral side of the right mid-femoral segment in 28 SD rats,and the rats were randomly divided into two groups.The stainless steel group was fixed with a stainless steel intramedullary nail,and the magnesium alloy group was fixed with an Mg-Li-Gd alloy intramedullary nail,with 14 rats in each group.At 2,8,and 14 weeks after surgery,right femur X-ray and Micro-CT examinations,as well as hematoxylin-eosin staining,immunohistochemical staining,and western blot assay were performed.RESULTS AND CONCLUSION:(1)X-ray film:At 2 weeks after surgery,the osteotomy lines of both groups were clear,the density of the intramedullary nail in the magnesium alloy group was close to that of bone tissue,and the density of the intramedullary nail in the stainless steel group was higher than that of bone tissue.At 8 weeks after surgery,the osteotomy lines of both groups were blurred,and the intramedullary nail in the magnesium alloy group had corroded and degraded.At 14 weeks after surgery,the osteotomy lines of both groups disappeared,and the intramedullary nail in the magnesium alloy group further corroded and degraded.(2)Micro-CT:At 2 weeks after surgery,callus began to form in both groups;8 weeks after surgery,the stainless steel group entered the callus remodeling stage,and a relatively dense bone structure was formed at the bone defect site,and the magnesium alloy group showed obvious callus hyperplasia at the bone defect site.At 14 weeks after surgery,the stainless steel group showed a mature bone remodeling process,and thick cortical bone was formed at the bone defect site,and thinner cortical bone was formed in the magnesium alloy group.(3)Hematoxylin-eosin staining:At 2 weeks after surgery,a large number of osteoblasts,osteocytes,a small number of osteoclasts and trabecular structures were observed in the magnesium alloy group,while relatively few osteoblasts and osteocytes were observed in the stainless steel group.At 8 weeks after surgery,a large number of osteoblasts,osteocytes,and mature trabecular structures were observed in the magnesium alloy group,while a large number of osteocytes and lamellar bones were observed in the stainless steel group.At 14 weeks after surgery,lamellar bones were observed in the magnesium alloy group,while mature bone tissue was observed in the stainless steel group.(4)Immunohistochemical staining and western blot assay:At the same time point,the expression levels of bone morphogenetic protein 2,osteocalcin,and RUNX2 proteins in the magnesium alloy group were higher than those in the stainless steel group.(5)The results showed that compared with stainless steel materials,Mg-Li-Gd alloy had no obvious advantage in promoting the formation of fracture healing structure.

BACKGROUND:With the increasing demand for orthopedic implants,the search for materials with good biocompatibility and degradability has become a research hotspot.Magnesium-lithium-gadolinium(Mg-Li-Gd)alloy has good degradability,biocompatibility,and mechanical properties,providing ideal supporting conditions for fracture healing.OBJECTIVE:To evaluate the effects of Mg-Li-Gd alloy implants on bone healing in rats.METHODS:A circular half-defect model was made on the lateral side of the right mid-femoral segment in 28 SD rats,and the rats were randomly divided into two groups.The stainless steel group was fixed with a stainless steel intramedullary nail,and the magnesium alloy group was fixed with an Mg-Li-Gd alloy intramedullary nail,with 14 rats in each group.At 2,8,and 14 weeks after surgery,right femur X-ray and Micro-CT examinations,as well as hematoxylin-eosin staining,immunohistochemical staining,and western blot assay were performed.RESULTS AND CONCLUSION:(1)X-ray film:At 2 weeks after surgery,the osteotomy lines of both groups were clear,the density of the intramedullary nail in the magnesium alloy group was close to that of bone tissue,and the density of the intramedullary nail in the stainless steel group was higher than that of bone tissue.At 8 weeks after surgery,the osteotomy lines of both groups were blurred,and the intramedullary nail in the magnesium alloy group had corroded and degraded.At 14 weeks after surgery,the osteotomy lines of both groups disappeared,and the intramedullary nail in the magnesium alloy group further corroded and degraded.(2)Micro-CT:At 2 weeks after surgery,callus began to form in both groups;8 weeks after surgery,the stainless steel group entered the callus remodeling stage,and a relatively dense bone structure was formed at the bone defect site,and the magnesium alloy group showed obvious callus hyperplasia at the bone defect site.At 14 weeks after surgery,the stainless steel group showed a mature bone remodeling process,and thick cortical bone was formed at the bone defect site,and thinner cortical bone was formed in the magnesium alloy group.(3)Hematoxylin-eosin staining:At 2 weeks after surgery,a large number of osteoblasts,osteocytes,a small number of osteoclasts and trabecular structures were observed in the magnesium alloy group,while relatively few osteoblasts and osteocytes were observed in the stainless steel group.At 8 weeks after surgery,a large number of osteoblasts,osteocytes,and mature trabecular structures were observed in the magnesium alloy group,while a large number of osteocytes and lamellar bones were observed in the stainless steel group.At 14 weeks after surgery,lamellar bones were observed in the magnesium alloy group,while mature bone tissue was observed in the stainless steel group.(4)Immunohistochemical staining and western blot assay:At the same time point,the expression levels of bone morphogenetic protein 2,osteocalcin,and RUNX2 proteins in the magnesium alloy group were higher than those in the stainless steel group.(5)The results showed that compared with stainless steel materials,Mg-Li-Gd alloy had no obvious advantage in promoting the formation of fracture healing structure.

Objective To explore the changes of core symptoms and nursing strategies for lymphoma patients during chemotherapy using a dynamic network analysis model,and provide a reference for precise symptom intervention.Methods A longitudinal study was conducted,and lymphoma patients undergoing chemotherapy in the Department of Lymphoma at a tertiary hospital in Tianjin from September 2021 to December 2023 were conveniently sampled.The Lymphoma Patient Symptom Assessment Scale was used to track symptoms at 3 time points:7 to 14 days after the 1st treatment cycle(T1),the 3rd cycle(T2),and the 6th cycle(T3).Dynamic symptom network analysis,including network relationships,core symptoms,and bridge symptoms,was performed using R software.Results During the research process,135 participants withdrew,resulting in a final inclusion of 865 cases for analysis.Fatigue exhibited the highest incidence rate(34.80％)at T1;alopecia was the most prevalent symptom(58.03％and 53.64％,respectively)at T2 and T3.The T1→T2 dynamic network analysis showed that fever had the highest out-expected influence(EI=0.551)and bridge expected influence(EI=0.225).The T2→T3 dynamic network analysis showed that limb numbness exhibited the highest out-expected influence(EI=0.203)and bridge-expected influence(EI=0.170).Reliability tests indicated that both dynamic networks demonstrated moderate accuracy but suboptimal stability.Conclusion Fatigue was the most common symptom at T1;alopecia was the most prevalent symptom at T2 and T3.Fever was the core symptom and bridging symptom in the T1→T2 symptom network,whereas limb numbness assumed the role of the core symptom and bridging symptom in the T2→T3 symptom network.The clinical practitioners could take high-incidence symptoms and core symptoms as intervention targets to develop precise symptom management strategies for lymphoma patients undergoing chemotherapy.

Breast cancer is the most common malignant tumor in women worldwide,and its incidence rate is increasing annually.Early dia-gnosis is essential for improving patient prognosis.In recent years,artificial intelligence(AI)technology has emerged as a transformative tool,providing new directions for accurate diagnostic and prognostic assessments.This article systematically reviews research progress in the ap-plication of AI to breast cancer screening,multimodal imaging techniques for diagnosis,pathological diagnosis,treatment,and prognostic modeling.Through machine learning and deep learning algorithms,AI has demonstrated significant advantages in the enhancement of dia-gnostic accuracy,efficiency,and accessibility,including improvement of the detection rate of small lesions,reduction in the radiologists'workload,and optimization of treatment decisions.Despite challenges,including the integration of explainable technology in clinical trans-formation,lack of data standardization,complexity of multimodal data,and risk of model generalization,AI is expected to play a more prom-inent role in the precise diagnosis and intelligent therapy for breast cancer,thereby contributing to the full realization of the goal of preci-sion medicine.

Objective:To investigate the impact of neuroendocrine function on postoperative complications and nutritional status in gastric cancer patients.Methods:Clinical data of 102 gastric cancer patients who underwent radical gastrectomy at the Department of General Surgery, First Affiliated Hospital of Soochow University, from Aug 2021 to Jun 2022 were retrospectively analyzed.Results:Among the 102 gastric cancer patients, 18 (17.6%) suffered from postoperative complications. Univariate analysis indicated that age, BMI, preoperative plasma ghrelin concentration, and preoperative hemoglobin levels were associated with early postoperative complications following radical gastrectomy. Multivariate analysis revealed that age, BMI, and preoperative plasma ghrelin concentration ( P<0.05) were independent risk factors for postoperative complications in gastric cancer patients. Differential analysis of ghrelin concentration demonstrated correlations with hemoglobin levels, skeletal muscle index, albumin, and creatinine, and a positive correlation with the skeletal muscle index. Conclusions:Reduced preoperative neuroendocrine hormone ghrelin concentration is an independent risk factor for postoperative complications in gastric cancer patients. Ghrelin concentration is correlated with the skeletal muscle index in these patients.