Retinitis pigmentosa （RP） is the most common hereditary blinding eye disease in clinical practice， with the pathogenesis remaining unclear. Patients experience progressive apoptosis of retinal photoreceptor cells， accompanied by degeneration of retinal pigment epithelium （RPE） cells. Current Western medical treatments mainly focus on gene therapy and stem cell transplantation， showing limited efficacy. In contrast， clinical observations have confirmed the therapeutic effects of traditional Chinese medicine （TCM） treatments. Establishing an RP animal model that aligns with the diagnostic features of both TCM and Western medicine could help combine the strengths of both approaches， thereby broadening the treatment options for RP. This study categorizes and summarizes the existing RP animal models in terms of classification， types， inheritance patterns， and alignment with clinical manifestations. It is found that current RP models are primarily derived from natural animal models such as RD mice and RCS rats， transgenic animal models like RPE-65 knockout mice and rhodopsin gene knockout mice， and chemically induced models such as those created by monochromatic light exposure or N-ethyl-N-nitrosourea （ENU） administration. These three categories of models focus more on detecting RP-related histopathological， molecular biological， and cellular immunological indicators， but offer limited observation of the overall characteristics of the disease and lack insight into syndrome differentiation. Although RP is a congenital genetic disease， its progression is influenced by acquired factors such as environment， constitution， emotions， and care. Current models do not fully capture the characteristics of this disease. Therefore， establishing an RP animal model based on the diagnostic features of both TCM and Western medicine will have significant implications for future experimental and clinical research.

Retinitis pigmentosa （RP） is the most common hereditary blinding eye disease in clinical practice， with the pathogenesis remaining unclear. Patients experience progressive apoptosis of retinal photoreceptor cells， accompanied by degeneration of retinal pigment epithelium （RPE） cells. Current Western medical treatments mainly focus on gene therapy and stem cell transplantation， showing limited efficacy. In contrast， clinical observations have confirmed the therapeutic effects of traditional Chinese medicine （TCM） treatments. Establishing an RP animal model that aligns with the diagnostic features of both TCM and Western medicine could help combine the strengths of both approaches， thereby broadening the treatment options for RP. This study categorizes and summarizes the existing RP animal models in terms of classification， types， inheritance patterns， and alignment with clinical manifestations. It is found that current RP models are primarily derived from natural animal models such as RD mice and RCS rats， transgenic animal models like RPE-65 knockout mice and rhodopsin gene knockout mice， and chemically induced models such as those created by monochromatic light exposure or N-ethyl-N-nitrosourea （ENU） administration. These three categories of models focus more on detecting RP-related histopathological， molecular biological， and cellular immunological indicators， but offer limited observation of the overall characteristics of the disease and lack insight into syndrome differentiation. Although RP is a congenital genetic disease， its progression is influenced by acquired factors such as environment， constitution， emotions， and care. Current models do not fully capture the characteristics of this disease. Therefore， establishing an RP animal model based on the diagnostic features of both TCM and Western medicine will have significant implications for future experimental and clinical research.

ObjectiveTo investigate the effects of Scutellariae Radix combined with epidermal growth factor receptor-tyrosine kinase inhibitors （EGFR-TKIs） on cell proliferation， apoptosis， cancer stem cell （CSC） marker expression， and metabolism in non-small cell lung cancer （NSCLC） cells. MethodsThe anti-tumor effects of Scutellariae Radix and EGFR-TKIs （gefitinib or osimertinib） in NSCLC cells were evaluated using the cell counting kit-8 （CCK-8） and Annexin V-FITC/propidium iodide （PI） double staining apoptosis assay. The activity of Scutellariae Radix and EGFR-TKIs in three-dimensional （3D） cultures of NSCLC cells was assessed using the CellTiter-Glo® 3D cell viability assay. The mRNA and protein expression levels of CSC markers， sex determining region y box protein 2 （SOX2） and aldehyde dehydrogenase 1 family member A1 （ALDH1A1）， were detected by quantitative real-time polymerase chain reaction （Real-time PCR） and Western blot， respectively. Changes in intracellular reactive oxygen species （ROS） levels were detected by ROS staining， and the redox ratio was detected by femtosecond laser labeling free imaging （FLI）. ResultsUnder both two-dimensional （2D） and 3D culture conditions， compared with the blank group and EGFR-TKI group， the combination group showed significantly reduced cell viability and increased apoptosis rate （P<0.05）. Compared with the EGFR-TKI group， the mRNA and protein levels of CSC markers were significantly downregulated in the combination group （P<0.05）. Additionally， the redox ratio was significantly elevated （P<0.05）， and ROS levels were also increased in the combination group compared with the EGFR-TKI group. ConclusionIn NSCLC cells， Scutellariae Radix enhances the redox ratio and increases ROS levels， thereby inhibiting the expression of CSC markers and strengthening the anti-tumor effects of EGFR-TKIs. This provides a novel molecular mechanism by which Scutellariae Radix may enhance the sensitivity of targeted therapies.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Tumor metastasis is the major cause of death for tumor patients and the key bottleneck of clinical treatment. In recent years， basic and clinical studies have recognized that tumor microenvironment （TME） is highly correlated with tumor metastasis， which provides hope for anti-metastatic drug development and clinical treatment. At present， the mainstream studies on TME represented by immune checkpoint inhibitors （ICIs） mainly focus on the rectification of immune function of T cells and B cells. However， a large number of studies have shown that the significance of other members of TME for tumor metastasis cannot be ignored， which greatly reflects the progress of anti-metastatic research based on TME regulation. This review focused on tumor metastasis， summarized the mechanism of action of non-T and non-B immune cells ［tumor-associated macrophages （TAMs） and tumor-associated neutrophils （TANs）］ and non-immune members ［vascular endothelial cells （ECs）， tumor-associated fibroblasts （CAFs）， and blood platelet］ in the process of tumor metastasis in TME based on the literature over the recent five years， and explored their key value in the treatment of metastasis. At the treatment level， this review focused on the perspective of the integration of frontier and traditional methods and took the functional homeostasis remodeling of TME as the entry point to summarize the activity and mechanism of traditional Chinese medicine （TCM） regulation of non-T and non-B immune cells and non-immune members and highlight its advantages and characteristics in clinical intervention of metastasis. This review helps to break through the limitations of over-reliance on T and B immune cells in anti-metastatic research， make the research rely on a wider range of cell groups， explore the potential value of TME in anti-metastatic drug intervention， and enrich the idea and strategy of understanding the anti-metastatic pharmacological activity. The review is also expected to provide a broader vision for the research and development of new anti-metastatic drugs.

Objective:To investigate possible neuromodulatory mechanisms involved in the involvement of parvalbu-min(PV)expression in the basal ganglia output nuclei,entopeduncular nucleus(EPN)and substantia nigra pars etic-ulata(SNr),in exercise-induced chronic fatigue impairs working memory capacity.Methods:Male SD rats were divid-ed into control group and Fatigue group by random number method,and a three-stage incremental load treadmill training program was selected to establish a chronic exhaustion exercise-induced fatigue rat model.The working memory ability of rats was assessed by the Y-maze autonomous alternation experiment.Immunohistochemical staining was used to ob-serve the expression of parvalbumin(PV)positive neurons and cysteine aspartate-specific protease-3(caspase-3)in EPN and SNr of rats.Results:The accuracy of voluntary alternation in the fatigue group was obviously lower than that in control group(P＜0.05).The results of immunohistochemical staining showed that the density of PV positive neu-rons and the degree of positive fiber staining in EPN and SNr in the fatigue group were obviously lower than those in the control group(P＜0.05,P＜0.01).The number of caspase-3 positive cells per unit area of EPN and SNr in the fa-tigue group was obviously higher than that in the control group(P＜0.05,P＜0.01).Conclusion:The mechanism of impairing working memory in rats caused by exercise-induced chronic fatigue may be related to the apoptosis of PV posi-tive neurons in EPN and SNr.

Demyelination of the central nervous system often occurs in neurodegenerative diseases， such as multiple sclerosis （MS）. The myelin sheath， a layer of myelin membrane wrapping the axon， plays a role in the rapid conduction and metabolic coupling of impulses for neurons. The exposure of the axon will lead to axonal degeneratio， and further neuronal degeneration， which is the main cause of dysfunction and even disability in patients with demyelinating neurodegenerative diseases. In addition to the demyelination of mature myelin sheath， remyelination disorder is also one of the major reasons leading to the development of the diseases. The myelin sheath is composed of oligodendrocytes （OLs） derived from oligodendrocyte progenitor cells （OPCs） which are differentiated from neural stem cells （NSCs）. The process of myelin regeneration， i.e.， remyelination， is the differentiation of NSCs into OLs. Recent studies have shown that this process is regulated by a variety of genes. MicroRNAs， as important regulators of neurodegenerative diseases， form a complex regulatory network in the process of myelin regeneration. This review summarizes the main molecular pathways of myelin regeneration and microRNAs involved in this process and classifies the mechanisms and targets. This review is expected to provide a theoretical reference for the future research on the treatment of demyelinating diseases by targeting the regulation of microRNAs.

The incidence rate of hyperlipidemic acute pancreatitis(HLAP)is gradually increasing,with the features of young age,severe conditions,frequent recurrence,and poor prognosis,and recurrent HLAP has become a difficult issue that needs to be solved urgently in clinical practice.This article summarizes the risk factors for HLAP recurrence and corresponding prevention and treatment strategies.The risk factors for HLAP recurrence include dyslipidemia,abnormal glucose metabolism,obesity,smoking,and drinking.In addition to the early treatment in the acute stage,HLAP requires long-term management,including effective control of blood glucose and lipids,diet regulation,and cigarette and alcohol withdrawal.As for patients with unexplained recurrent HLAP,genetic testing and gene therapy may provide novel diagnosis and treatment strategies.

Objective To review the literatures about ability in management of perioperative frailty in the elderly cancer patients and to provide references for clinical development of perioperative frailty management.Methods The methodological framework proposed by Arskey and O'Malley was used to retrieve studies on perioperative management of frailty in elderly cancer patients through the databases of CNKI,Wanfang Data,Chinese Biomedical Literature,PubMed,CINAHL,Embase,Cochrane and Scopus,from inception of the databases to May 2023.The included literatures were summarised and analysed by two independent researchers.Results A total of 23 studies were included,with 14 randomised controlled trials,6 reviews,1 expert consensus and 2 quasi-experimental studies.Perioperative frailty management abstracted from the retrieved literatures included preoperative frailty management,early postoperative frailty management,continuous frailty management after discharge,and hospice care management.Conclusions Perioperative fateful management of elderly cancer patients is diversified,including management of perioperative frailty,early postoperative frailty,continuous frailty after discharge and hospice care.The results of this study provide references in perioperative frailty management of elderly cancer patients.

Objective: QL1604 is a highly selective, humanized monoclonal antibody against programmed death protein 1. We assessed the efficacy and safety of QL1604 plus chemotherapy as first-line treatment in patients with advanced cervical cancer. Methods: This was a multicenter, open-label, single-arm, phase II study. Patients with advanced cervical cancer and not previously treated with systemic chemotherapy were enrolled to receive QL1604 plus paclitaxel and cisplatin/carboplatin on day 1 of each 21-day cycle for up to 6 cycles, followed by QL1604 maintenance treatment. Results: Forty-six patients were enrolled and the median follow-up duration was 16.5 months. An 84.8% of patients had recurrent disease and 13.0% had stage IVB disease. The objective response rate (ORR) per Response Evaluation Criteria in Advanced Solid Tumors (RECIST) v1.1 was 58.7% (27/46). The immune ORR per immune RECIST was 60.9% (28/46).The median duration of response was 9.6 months (95% confidence interval [CI]=5.5–not estimable). The median progression-free survival was 8.1 months (95% CI=5.7–14.0). Fortyfive (97.8%) patients experienced treatment-related adverse events (TRAEs). The most common grade≥3 TRAEs (>30%) were neutrophil count decrease (50.0%), anemia (32.6%), and white blood cell count decrease (30.4%). Conclusion QL1604 plus paclitaxel-cisplatin/carboplatin showed promising antitumor activity and manageable safety profile as first-line treatment in patients with advanced cervical cancer. Programmed cell death protein 1 inhibitor plus chemotherapy may be a potential treatment option for the patient population who have contraindications or can’t tolerate bevacizumab, which needs to be further verified in phase III confirmatory study.