To analyze the disease burden of acute lymphoid leukemia(ALL) and its changing trends in China and globally from 1990 to 2021, aiming to provide a theoretical basis for disease prevention, treatment, and policy formulation.

ObjectiveTo explore the effect of the medical-community linkage model on activities of daily living, psychological status and motor function of stroke patients in the community. MethodsA total of 60 stroke patients admitted to two community health service centers and their affiliated stations in Fengtai District, Beijing, from January, 2024 to August, 2025 were enrolled and randomly divided into control group (n = 30) and intervention group (n = 30). The control group received routine medicine, dietary care and rehabilitation management, while the intervention group underwent rehabilitation with the medical-community linkage model, for twelve weeks. They were assessed with modified Barthel Index (MBI), Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD) and Fugl-Meyer Assessment (FMA) before and after intervention. ResultsAfter intervention, the MBI, HAMA, HAMD and FMA scores of patients improved in both groups (|t| > 5.599, P < 0.001), and improved more in the intervention group than in the control group (P < 0.05), except MBI. The HAMA and HAMD scores of family members decreased in both groups (|t| > 10.333, P < 0.001), and decreased more in the intervention group than in the control group (t > 5.681, P < 0.001). ConclusionThe medical-community linkage model can further improve the motor function of stroke patients in community, as well as the psychological status of both patients and their family members.

With the rapid development of the biopharmaceutical field, the efficient and simultaneous extraction of multiple biological components from biological samples has become a critical process for advancing scientific research. The ability to simultaneously extract various molecular components such as metabolites, DNA, RNA, and proteins is pivotal for multi-omics studies, which aim to comprehensively understand the molecular mechanisms of biological systems. Traditional methods often extract these components separately, leading to challenges such as sample loss, time consumption, contamination, and inconsistencies across different data types. In contrast, simultaneous extraction techniques address these issues by maintaining the consistency of each biological component’s physiological state, improving data reliability and facilitating integration across omic platforms. This review systematically summarizes recent advances in simultaneous extraction technologies, focusing on methods such as methanol/chloroform extraction, TRIzol reagent extraction, and modified Folch extraction, which have shown significant promise in improving the efficiency and integrity of biological sample preparation. These methods offer various advantages, such as reduced sample volume requirements, decreased contamination risk, and enhanced extraction consistency, which are crucial for studies involving small sample sizes or precious clinical specimens. Among these, methanol/chloroform extraction stands out for its simplicity, low cost, and ability to extract a wide range of biological molecules. However, it does face limitations, such as its inefficiency in extracting lipids and potential RNA contamination. On the other hand, the TRIzol reagent method has become a widely adopted technique due to its ability to simultaneously isolate RNA, proteins, and metabolites from the same sample. Despite its effectiveness, the TRIzol method has limitations in RNA quality, especially when handling complex samples or those with high protein content. Modified Folch extraction, which combines liquid-liquid extraction with commercial kits, offers a highly efficient way to extract polar metabolites, lipids, RNA, DNA, and proteins from small tissue samples. This method has proven advantageous in terms of extraction yield, especially for challenging or rare samples, although it requires precise handling to avoid cross-contamination between phases. The integration of automated platforms, microfluidics, and high-throughput systems is another exciting avenue for improving simultaneous extraction. Automation facilitates large-scale, reproducible sample processing with minimal human error, while microfluidics provides high precision in sample handling and enables real-time monitoring of extraction efficiency. These innovations not only enhance the speed and reproducibility of sample preparation but also open new possibilities for single-cell analysis, where sample volumes are often limited, and extraction efficiency is critical. In addition to the technical aspects, the review also highlights the importance of optimizing extraction protocols for specific sample types, such as clinical tissues, plants, and microorganisms. For example, the challenge of extracting multiple components from cancer tissues, where sample degradation and contamination risks are high, can be mitigated by carefully selecting extraction reagents and minimizing sample handling steps. Similarly, in plant studies, where metabolite diversity is vast, the simultaneous extraction methods must be optimized to account for the unique composition of plant tissues, which often include complex secondary metabolites and cell wall components. Looking forward, the development of more efficient and standardized simultaneous extraction methods will be crucial for advancing multi-omics research. There is a growing need for protocols that can be tailored to specific research needs, ensuring both reproducibility and flexibility in diverse applications. Additionally, combining these extraction methods with high-resolution analytical techniques such as mass spectrometry and next-generation sequencing will further enhance the potential of multi-omics studies to provide comprehensive insights into biological systems. As these technologies continue to evolve, their application in personalized medicine, environmental research, and agriculture holds great promise for addressing critical scientific challenges. In conclusion, while simultaneous extraction technologies have made significant strides, several challenges remain in optimizing extraction efficiency, ensuring reproducibility, and reducing costs. Future research should focus on refining extraction protocols, developing innovative extraction reagents, and expanding the scope of these methods to cater to a broader range of biological samples. Ultimately, the continued integration of these advanced techniques will revolutionize the way biological samples are prepared, analyzed, and understood in the context of multi-omics research.

With the rapid development of the biopharmaceutical field, the efficient and simultaneous extraction of multiple biological components from biological samples has become a critical process for advancing scientific research. The ability to simultaneously extract various molecular components such as metabolites, DNA, RNA, and proteins is pivotal for multi-omics studies, which aim to comprehensively understand the molecular mechanisms of biological systems. Traditional methods often extract these components separately, leading to challenges such as sample loss, time consumption, contamination, and inconsistencies across different data types. In contrast, simultaneous extraction techniques address these issues by maintaining the consistency of each biological component’s physiological state, improving data reliability and facilitating integration across omic platforms. This review systematically summarizes recent advances in simultaneous extraction technologies, focusing on methods such as methanol/chloroform extraction, TRIzol reagent extraction, and modified Folch extraction, which have shown significant promise in improving the efficiency and integrity of biological sample preparation. These methods offer various advantages, such as reduced sample volume requirements, decreased contamination risk, and enhanced extraction consistency, which are crucial for studies involving small sample sizes or precious clinical specimens. Among these, methanol/chloroform extraction stands out for its simplicity, low cost, and ability to extract a wide range of biological molecules. However, it does face limitations, such as its inefficiency in extracting lipids and potential RNA contamination. On the other hand, the TRIzol reagent method has become a widely adopted technique due to its ability to simultaneously isolate RNA, proteins, and metabolites from the same sample. Despite its effectiveness, the TRIzol method has limitations in RNA quality, especially when handling complex samples or those with high protein content. Modified Folch extraction, which combines liquid-liquid extraction with commercial kits, offers a highly efficient way to extract polar metabolites, lipids, RNA, DNA, and proteins from small tissue samples. This method has proven advantageous in terms of extraction yield, especially for challenging or rare samples, although it requires precise handling to avoid cross-contamination between phases. The integration of automated platforms, microfluidics, and high-throughput systems is another exciting avenue for improving simultaneous extraction. Automation facilitates large-scale, reproducible sample processing with minimal human error, while microfluidics provides high precision in sample handling and enables real-time monitoring of extraction efficiency. These innovations not only enhance the speed and reproducibility of sample preparation but also open new possibilities for single-cell analysis, where sample volumes are often limited, and extraction efficiency is critical. In addition to the technical aspects, the review also highlights the importance of optimizing extraction protocols for specific sample types, such as clinical tissues, plants, and microorganisms. For example, the challenge of extracting multiple components from cancer tissues, where sample degradation and contamination risks are high, can be mitigated by carefully selecting extraction reagents and minimizing sample handling steps. Similarly, in plant studies, where metabolite diversity is vast, the simultaneous extraction methods must be optimized to account for the unique composition of plant tissues, which often include complex secondary metabolites and cell wall components. Looking forward, the development of more efficient and standardized simultaneous extraction methods will be crucial for advancing multi-omics research. There is a growing need for protocols that can be tailored to specific research needs, ensuring both reproducibility and flexibility in diverse applications. Additionally, combining these extraction methods with high-resolution analytical techniques such as mass spectrometry and next-generation sequencing will further enhance the potential of multi-omics studies to provide comprehensive insights into biological systems. As these technologies continue to evolve, their application in personalized medicine, environmental research, and agriculture holds great promise for addressing critical scientific challenges. In conclusion, while simultaneous extraction technologies have made significant strides, several challenges remain in optimizing extraction efficiency, ensuring reproducibility, and reducing costs. Future research should focus on refining extraction protocols, developing innovative extraction reagents, and expanding the scope of these methods to cater to a broader range of biological samples. Ultimately, the continued integration of these advanced techniques will revolutionize the way biological samples are prepared, analyzed, and understood in the context of multi-omics research.

Background: High-mobility group box protein 1 (HMGB1) is a chromatin-binding protein involved in arthritis, ischemia, sepsis, atherosclerosis, neurodegenerative disorders, meningitis, and cancer. HMGB1 exhibits dual roles in cancer, acting as either a tumor suppressor or oncoprotein depending on context. Objective: This research aimed to elucidate HMGB1’s functional significance in cutaneous squamous cell carcinoma (cSCC). Methods: We overexpressed HMGB1 in cSCC cell lines using recombinant adenovirus and examined its effects on cell proliferation, colony formation, and cell migration. Results: Immunohistochemical analysis revealed elevated HMGB1 expression levels in cSCC tissue relative to normal epidermis. To assess the influence of HMGB1, we employed recombinant adenoviruses expressing HMGB1 to transduce SCC cell lines (SCC12 and SCC13). Enhanced HMGB1 expression significantly promoted cellular proliferation and colony formation capacity.Notably, HMGB1 overexpression elevated the levels of proliferation regulators, including P63, SOX2, CDK4 and CDK6. Furthermore, HMGB1 overexpression substantially enhanced tumor invasiveness, accompanied by upregulation of epithelial-mesenchymal transition (EMT) biomarkers. Mechanistically, overexpression of HMGB1 enhanced transforming growth factor-β signaling by increasing phosphorylation of SMAD2/3, the key mediators of EMT. Conclusion These data imply that HMGB1 acts as a tumor-promoting factor in cSCC.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Objective To evaluate the efficacy and safety of rabbit anti-human thymocyte immuneglobulin(rATG)induction therapy in kidney transplant recipients from donation after cardiac death in China.Methods This was a prospective,multicenter,single-arm and interventional study conducted in China(NCT03099122).Adult patients who underwent kidney transplantation from donation after cardiac death and received rATG induction therapy(cumulative dose of 5 mg/kg)were included.Univariate and multivariate logistic regression analyses were used to identify factors associated with acute rejection(AR),delayed graft function(DGF),graft failure and patient death.The occurrence of adverse events was also analyzed.Results A total of 115 adult patients were enrolled in the study,of whom 107 were evaluable for efficacy.The incidence of biopsy-proven acute rejection(BPAR)and acute rejection(AR)was 2.8%(95%confidence interval 0.6%-8.0%)and 4.7%(95%confidence interval 1.5%-10.6%),respectively.The incidence of delayed graft function(DGF)was 13.1%(95%confidence interval 7.3%-21.0%).Graft and patient survival rates were 97.2%(95%confidence interval 92.0%-99.4%)and 99.1%(95%confidence interval 94.9%-100%),respectively.Multivariate logistic regression analysis showed that donor serum creatinine and recipient panel reactive antibodies were risk factors for DGF(both P<0.05).Common treatment-emergent adverse events(incidence>5%)included anemia(8.7%),infectious pneumonia(8.7%),and urinary tract infection(8.7%).Conclusions Standard-dose rATG induction therapy demonstrates low incidences of BPAR,AR,and DGF,and good safety in kidney transplant recipients from donation after cardiac death in China.

There was a close relationship between microvascular invasion(MVI)and the therapeutic efficacy and prognosis of hepatocellular carcinoma.With the continuous development of imaging examination methods,multimodal magnetic resonance imaging(MRI)was a non-invasive and quantitative examination method that com bines multiple imaging modes,including magnetic resonance T1/T2 weighted imaging(T1/T2WI),functional MRI[diffusion-weighted imaging(DWI),intravoxel incoherent motion(IVIM)and diffusion-kurtosis imaging(DKI)],dynamic contrast-enhanced MRI(DCE-MRI),hepatobiliary phase imaging(HBP),etc,it can obtain various imaging parameters and provide more comprehensive and accurate diagnostic information for clinicians,it has been widely used in the diagnosis and grading,efficacy evaluation,prognosis,and MVI prediction of hepatocellular carcinoma.Based on this,this article reviews the relevant literature on the application of multimodal MRI in MVI of hepatocellular carci noma in recent years,and summarizes the research status and progress of multimodal MRI in predicting hepatocellular carcinoma MVI,the aim was to further analyze the challenges of multimodal MRI in the application of hepatocellular carcinoma MVI,promote the clinical application of predicting hepatocellular carcinoma MVI,and improve the accuracy of predicting of hepatocellular carcinoma MVI.

Depression is primarily characterized by persistent low mood,emotional disorders,and loss of interest.Somatization disorder is a type of neurotic disorder,primarily featuring recurrent,varied,and non-organic physical discomfort symptoms.In traditional Chinese medicine,depression with somatization disorder can be classified under the category of"depression"and"hysteria"according to its clinical symptoms.This article focuses on the dynamic evolution of the functions of the kidney,spleen,and liver,and explains the core pathogenesis of depression with somatization disorder based on the theory of"cold water,damp earth,and stagnant wood"proposed by HUANG Yuanyu.It explores the causes and related manifestations.Symptoms mainly characterized by cramps and convulsions can be attributed to the liver;symptoms primarily characterized by heaviness,distension,and dull pain accompanied by weakness can be attributed to the spleen;symptoms primarily characterized by stiffness,reluctance to move or inability to move,and reluctance to extend outward can be attributed to the kidney.Liver depression and spleen dampness,as well as wood depression and earth congestion,are treated by strengthening the spleen and soothing the liver,drying dampness and calming wind,and the modified Xiaoyao Powder combined with Yueju Pill is recommended.Spleen dampness and kidney coldness,earth failure and water overflow,are treated by tonifying the spleen and kidney,warming water and transforming dampness,and the modified Jingui Shenqi Pill combined with Linggui Zhugan Decoction is recommended.Kidney coldness and liver hyperactivity,water not nourishing wood,are treated by warming the kidney and enriching essence,replenishing water and nourishing wood,and the modified Dihuang Yinzi is recommended.This article explores the corresponding etiology,pathogenesis,treatment methods,and prescriptions for depression with somatization disorder,with the aim of providing new insights for clinical diagnosis and treatment.

Objective:To analyze the correlation of monocyte/high density lipoprotein ratio(MHR),neutrophil/lymphocyte ratio(NLR),platelet/lymphocyte ratio(PLR)and bone density,bone metabolism markers in elderly essential hypertension with osteoporosis(OP)patients.Methods:This study was a retrospective study,198 elderly essential hypertension patients who were admitted in our hospital from January 2022 to June 2024 were selected.According to the patient's bone mass test results,patients were divided into normal bone mass group(n=79),osteopenia group(n=68)and OP group(n=51).MHR,NLR,PLR,bone density(left hip,left femoral neck and lumbar spine L1-L4)and bone metabolism markers were compared among three groups,the correlation of MHR,NLR,PLR and bone density,bone metabolism markers were analyzed by Pearson correlation.Results:MHR,NLR,PLR in normal bone mass group,osteopenia group and OP group increased in turn(P＜0.05).The left hip,left femoral neck and lumbar spine L1-L4 bone density in normal bone mass group,osteopenia group,OP group decreased in turn(P＜0.05).25-hydroxyvitamin D[25(OH)D]in normal bone mass group,osteopenia group and OP group decreased in turn,alkaline phosphatase(ALP)and parathyroid hormone(PTH)increased in turn(P＜0.05).MHR,NLR and PLR were negatively correlated with left hip bone density,left femoral neck bone density,lumbar spine L1-L4 bone density,25(OH)D and positively correlated with PTH and ALP(P＜0.05).Conclusion:The increase of MHR,NLR and PLR in elderly essential hypertension with OP patients can affect bone mineral density and bone metabolism.