Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Cell models can simulate a variety of life states and disease developments, including single cells, two-dimensional (2D) cell cultures, three-dimensional (3D) multicellular spheroids, and organoids. They are essential tools for addressing complex biochemical questions. With continuous advancements in biological and cellular analysis technologies, in vitro cellular models designed to answer scientific questions have evolved rapidly. Early in vitro models primarily relied on 2D systems, which failed to accurately replicate the complex cellular compositions and microenvironmental interactions observed in vivo, let alone support sophisticated investigations into cellular biological functions. Subsequent improvements in cell culture techniques led to the development of 3D culture-based models, such as cellular spheroids. The advent of pluripotent stem cell technology further advanced the development of organoid systems, which closely mimic human organ development. Compared to traditional 2D models, both 3D cellular models and organoids offer significant advantages, including personalization and enhanced physiological relevance, making them particularly suitable for exploring molecular mechanisms of disease progression, discovering novel cellular and biomolecular functions, and conducting related studies. The imaging analysis of common cellular models primarily employs labeling-based methods for in situ imaging of targeted genes, proteins, and small-molecule metabolites, enabling further research on cell types, states, metabolism, and drug efficacy. However, these approaches have drawbacks such as poor labeling specificity and complex experimental procedures. By using cells as experimental models, mass spectrometry technology combined with morphological analysis can reveal quantitative changes and spatial distributions of various biological substances at the spatiotemporal level, including metabolites, proteins, lipids, peptides, drugs, environmental pollutants, and metals. This allows for the investigation of cell-cell interactions, tumor microenvironments, and cellular bioinformational heterogeneity. The application of these cutting-edge imaging technologies generates vast amounts of cellular data, necessitating the development of rapid, efficient, and highly accurate image data algorithms for precise segmentation and identification of single cells, multi-organelle structures, rare cell subpopulations, and complex cellular morphologies. A critical focus lies in creating deep learning models and algorithms that enhance the accuracy of cellular visualization. At the same time, establishing more robust data integration tools is essential not only for analyzing and interpreting outputs but also for effectively uncovering the biological significance of spatially resolved mass spectrometry data. Developing a cell imaging platform with high versatility, operational stability, and specificity to enable data interoperability will significantly enhance its utility in clinical research, thereby advancing investigations into disease molecular mechanisms and supporting precision diagnostics and therapeutics. In contrast to genomic, transcriptomic, and proteomic information, the metabolome can rapidly respond to external stimuli and cellular physiological changes within a short timeframe. This rapid and precise reflection of ongoing cellular state alterations has positioned spatial metabolomics as a pivotal approach for exploring the molecular mechanisms underlying physiological and pathological processes in cells, tissues, and organisms. In this review, we summarize research on cell imaging based on mass spectrometry technologies, including the selection and preparation of cell models, morphological analysis of cell models, spatial omics techniques based on mass spectrometry, mass cytometry, and their applications. We also discuss the current challenges and propose future directions for development in this field.

Objective: To analyze the nucleic acid load of human parvovirus B19 in major commercially available blood products in China, including human albumin, human intravenous immunoglobulin, human rabies immunoglobulin and various coagulation factor products, aiming to provide evidence for improving blood product manufacturing processes and quality control of source plasma. Methods: A total of 98 batches of coagulation factor products were tested for human parvovirus B19 nucleic acid using real-time fluorescent quantitative PCR, including 42 batches of human prothrombin complex, 35 batches of human coagulation factor Ⅷ, and 21 batches of human fibrinogen. Additionally, 6 batches of human albumin, 6 batches of human intravenous immunoglobulin, and 38 batches of human rabies immunoglobulin were tested for human parvovirus B19 nucleic acid. Results: Human parvovirus B19 nucleic acid were undetectable in human albumin, human intravenous immunoglobulin and human rabies immunoglobulin. Among the 98 batches of coagulation factor products tested for human parvovirus B19 nucleic acid, B19 nucleic acid reactivity rate was 69.0% (29/42) for human prothrombin complex batches, but nucleic acid concentration were all significantly lower than 10 IU/mL. The reactivity rate of B19 nucleic acid in 35 batches of human coagulation factor Ⅷ was 48.6% (17/35), with nucleic acid concentration all below 10 IU/mL. The reactivity rate of B19 nucleic acid in 21 batches of human fibrinogen was 61.9% (13/21), with nucleic acid concentration all below 10 IU/mL. Conclusion: No human parvovirus B19 has been detected in human albumin, human intravenous immunoglobulin, or human rabies immunoglobulin. Human parvovirus B19 nucleic acid may exist in commercially available coagulation factor products, highlighting the need for enhanced screening of human parvovirus B19 nucleic acid in these products. It is also recommended that B19 viral nucleic acid testing be conducted on source plasma, particularly for coagulation factor products.

Objective: To analyze the nucleic acid load of human parvovirus B19 in major commercially available blood products in China, including human albumin, human intravenous immunoglobulin, human rabies immunoglobulin and various coagulation factor products, aiming to provide evidence for improving blood product manufacturing processes and quality control of source plasma. Methods: A total of 98 batches of coagulation factor products were tested for human parvovirus B19 nucleic acid using real-time fluorescent quantitative PCR, including 42 batches of human prothrombin complex, 35 batches of human coagulation factor Ⅷ, and 21 batches of human fibrinogen. Additionally, 6 batches of human albumin, 6 batches of human intravenous immunoglobulin, and 38 batches of human rabies immunoglobulin were tested for human parvovirus B19 nucleic acid. Results: Human parvovirus B19 nucleic acid were undetectable in human albumin, human intravenous immunoglobulin and human rabies immunoglobulin. Among the 98 batches of coagulation factor products tested for human parvovirus B19 nucleic acid, B19 nucleic acid reactivity rate was 69.0% (29/42) for human prothrombin complex batches, but nucleic acid concentration were all significantly lower than 10 IU/mL. The reactivity rate of B19 nucleic acid in 35 batches of human coagulation factor Ⅷ was 48.6% (17/35), with nucleic acid concentration all below 10 IU/mL. The reactivity rate of B19 nucleic acid in 21 batches of human fibrinogen was 61.9% (13/21), with nucleic acid concentration all below 10 IU/mL. Conclusion: No human parvovirus B19 has been detected in human albumin, human intravenous immunoglobulin, or human rabies immunoglobulin. Human parvovirus B19 nucleic acid may exist in commercially available coagulation factor products, highlighting the need for enhanced screening of human parvovirus B19 nucleic acid in these products. It is also recommended that B19 viral nucleic acid testing be conducted on source plasma, particularly for coagulation factor products.

The intervention and prevention of perioperative hypothermia is not only reflected in the technical level, but also reveals the important role of humanistic care in the whole intervention work. If perioperative patients have hypothermia, it is likely to cause a series of complications such as postoperative shivering, which seriously threatens the life safety of patients. Prevention and intervention was based on a comprehensive understanding of the causes and hazards of hypothermia, especially the impact on the lives of the elderly. Effective supervision was implemented in the whole process of operation, such as dynamic monitoring of vital signs including body temperature, followed by room temperature regulation, body temperature protection and preoperative and postoperative psychological nursing. At this time, the sense of responsibility, good humanistic care of medical staff are of positive significance to effectively prevent and reduce the probability of perioperative hypothermia and accelerate the postoperative rehabilitation of patients.

Myocardial fibrosis （MF） is a common pathological manifestation of various heart diseases. Due to the non-renewable nature of myocardial cells， the occurrence of MF represents irreversible damage to the myocardium. Previous studies have suggested that fibroblast-mediated collagen deposition is the main mechanism of MF. Recent studies have found that there is an immune regulation mechanism in the heart itself， and macrophage activation/polarization plays an important role in MF. With the deepening of traditional Chinese medicine research， scholars have found that traditional Chinese medicine can interfere with MF by regulating the renin-angiotensin-aldosterone system （RAAS） system and the inflammatory process， repairing the extracellular matrix， managing oxidative stress， and maintaining the balance of autophagy. This process is closely related to the activation and M1/M2 polarization of macrophages. Throughout the MF process， macrophage activation is beneficial， but excessive activation will be harmful. In the early stage of MF， appropriate M1 macrophage polarization is conducive to activating immunity and removing harmful substances. In the middle and late stages of MF， appropriate M2 macrophage polarization is conducive to remodeling the damaged myocardium. If macrophage activation is excessive/insufficient， or the balance of M1/M2 macrophage polarization is broken， the effect changes from improvement to destruction. Traditional Chinese medicines that regulate the activation/polarization of macrophages have the effects of replenishing Qi and nourishing Yin， as well as regulating Qi and activating blood， but there are also some heat-clearing， dampness-drying， and detoxification products. Therefore， the occurrence of MF may be caused by Qi and Yin deficiency， damp heat accumulation， and Qi stagnation and blood stasis. By summarizing the biological processes involved in macrophage activation/polarization in MF， this paper expounded on the research progress of traditional Chinese medicine in regulating macrophage activation and M1/M2 polarization from different angles to improve MF， so as to provide a reference for the treatment of MF with traditional Chinese medicine.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

OBJECTIVE To observe the short-term efficacy and safety of venetoclax combined with homoharringtonine and cytarabine in the treatment of acute myeloid leukemia （AML）. METHODS The data of 40 newly diagnosed AML patients admitted to our hospital from October 2022 to November 2023 were retrospectively collected and divided into observation group and control group according to treatment plan， with 20 cases in each group. The patients in the control group were given Daunorubicin hydrochloride for injection+Cytarabine for injection， and the patients in the observation group were given Venetoclax tablets+ Homoharringtonine injection+Cytarabine for injection. The patients in both groups were given relevant medicine， with 28 days as one cycle. The short-term efficacy， negative rate of minimal residual disease （MRD）， duration of granulocyte deficiency， duration of platelet （PLT） ＜20×109 L－1， transfusion volume of suspended red blood cells and platelet， and the occurrence of adverse drug reactions were evaluated in both groups after 1 cycle of induction chemotherapy. RESULTS The complete remission or complete remission with incomplete hematologic recovery （CR/CRi） rate in the observation group was significantly higher than control group （P＜0.05）， and the negative rate of MRD in the observation group was also significantly higher than control group （P＜0.05）. However， in low-， medium- and high-risk patients， there was no statistical significance in CR/CRi rates between the two groups （P＞0.05）. There were no significant differences in the duration of agranulocytosis， the duration of PLT ＜20×109 L－1， the amount of suspended red blood cell transfusion， the amount of platelet transfusion， the incidence of hematologic toxicity and the incidence of non-hematologic toxicity between 2 groups （P＞0.05）. CONCLUSIONS Venetoclax combined with homoharringtonine and cytarabine show good short-term efficacy and safety in the treatment of AML.

Objective:To compare the clinical efficacy between a single palmar lateral transverse approach and the modified Henry approach in the locking plate fixation for distal radius fractures.Methods:A retrospective study was conducted to analyze the data of 82 patients with distal radius fracture who had undergone locking plate fixation through either a single palmar lateral approach or the modified Henry approach between January 2016 and December 2022 at Department of Traumatic Orthopaedics, Taihe Hospital, Affiliated to Hubei University of Medicine. There were 25 males and 57 females, with an age of (53.8±12.7) years. Based on the difference in surgical approach, the patients were divided into a single transverse approach group ( n=42) and a modified Henry approach group ( n=40). The 2 groups were compared in terms of injury cause, injury location, time from injury to surgery, AO fracture classification, tourniquet time during surgery, incision length, fracture reduction, Patient and Observer Scar Assessment Scale (PSAS & OSAS) and Disability of the Arm, Shoulder, and Hand (DASH) score at the last follow-up, and complications after surgery. Results:There were no statistically significant differences in the baseline characteristics between the 2 groups, indicating comparability ( P>0.05). All patients were followed up for (8.2±3.5) months. Follow-ups revealed one case of injury to the palmar cutaneous branch of the median nerve but no other complications like infection, non-union, internal fixation failure, or tendon injury in the single transverse approach group. The single transverse approach group was significantly superior over the modified Henry approach group in incision length [(2.4±0.9) cm versus (5.3±1.6) cm], OSAS (8.1±4.2 versus 10.3±5.7), and PSAS (10.1±5.8 versus 14.7±6.4) ( P<0.05). There were no significant differences between the 2 groups in tourniquet time, fracture reduction quality, and DASH score at the last follow-up ( P>0.05). Conclusion:In locking plate fixation for distal radius fractures, in comparison with the modified Henry approach, a single palmar lateral approach is more minimally invasive so that more aesthetically pleasing outcomes can be achieved to facilitate patients' rapid return to work and society.