Objective To analyze the epidemiological characteristics and spatial-temporal clustering trend of scarlet fever in Nantong from 2009 to 2023, and to provide a scientific basis for scarlet fever prevention and control. Methods The incidence data of scarlet fever in Nantong from 2009 to 2023 were analyzed. Descriptive analysis, seasonal index method and Joinpoint 5.2.0 software were used to analyze epidemiological characteristics. Spatial-temporal clustering was assessed with SaTScan 10.2.5 software. Results The average annual incidence of scarlet fever in Nantong from 2009 to 2023 was 6.54/100 000. The overall morbidity rate of scarlet fever in Nantong had an increasing trend from 2009 to 2019 with an average annual percentage change of 14.55% (t=3.36，P<0.05). The cases mainly occurred during late spring to early summer and late autumn to early winter. Students, preschool children and scattered children were the main scarlet fever population. The average annual incidence of males was significantly higher than that of females (χ²=7.00, P<0.05). Rugao City, Chongchuan District and Tongzhou District were identified as high-incidence areas, accounting for 76.51% of all reported cases. Spatial-temporal scan analysis indicated that Rugao City and Chongchuan District were primary cluster areas, spanning from 2015 to 2021 (RR=3.77, LLR=1 308.07, P<0.05). Conclusion The number of reported cases of scarlet fever in Nantong City from 2009 to 2023 shows epidemic and spatial clustering, mainly concentrated in the central urban area and adjacent counties (cities). It is necessary to strengthen health education and disease surveillance in high-incidence areas, as well as in key institutions and key populations before epidemic peaks.

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.

OBJECTIVE To investigate the effects and potential mechanism of Yiqi wenyang huwei decoction （YQWY） in improving airway inflammation and remodeling in rats with bronchial asthma （BA） based on the Toll-like receptor 4 （TLR4）/myeloid differentiation primary response protein 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. METHODS Male SD rats were randomly divided into the normal group， the model group， the dexamethasone group （positive control， 0.5 mg/kg）， and YQWY low-， medium- and high-dose groups （5， 10， 20 g/kg， calculated by the crude drug）， with 8 rats in each group. Except for the normal group， rats in all other groups were sensitized twice with ovalbumin combined with aerosol challenge to establish a BA model. From day 14 to day 34 of the experiment， the rats in each group were administered the corresponding drug solution or normal saline intragastrically， once a day， 1 hour before aerosol challenge. At 24 hours after the final aerosol challenge， asthma symptom scores were assessed， serum levels of immunoglobulin E （IgE） were measured， and the levels of inflammatory cytokines （interleukin-4， interleukin-5， interleukin-13 and tumor necrosis factor-α） and the numbers of inflammatory cells （white blood cell， eosinophil， neutrophil， lymphocyte， monocyte and basophil） in bronchoalveolar lavage fluid were determined. Pathological changes in lung tissue were observed. The mRNA expressions of TLR4， MyD88 and NF-κB， as well as the protein expressions of TLR4， MyD88， NF-κB p65 and phosphorylated NF-κB p65 in lung tissue， were detected. RESULTS Compared with the model group， the pathological changes， such as inflammatory cell infiltration， abnormal deposition of collagen fibers， and goblet cell hyperplasia in the lung tissue of rats in each drug group， were alleviated to varying degrees. The asthma symptom scores （except for the YQWY low-dose group）， the levels of IgE and inflammatory cytokines （except for interleukin-5 in the YQWY medium-dose group）， the number of inflammatory cells （except for monocyte and basophil in the YQWY low-dose group）， the mRNA expression of TLR4， MyD88 and NF-κB， as well as the protein expressions of TLR4， MyD88， NF-κB p65 and phosphorylated NF-κB p65 （except for MyD88 and NF-κB p65 proteins in the YQWY low-dose group as detected by Western blo t） were all significantly reduced or down-regulated （ P ＜0.05 or P ＜0.01）. CONCLUSIONS YQWY can alleviate asthma-like manifestations in BA rats and improve their airway inflammation and remodeling； these effects may be related to the formula’s inhibition of the abnormal activation of the TLR4/MyD88/NF-κB signaling pathway.

Metagenomic next-generation sequencing (mNGS) has emerged as a pivotal tool in the detection and characterization of infectious pathogens in clinical settings, and it has been applied to donor assessment. This case report describes the effective application of mNGS in preventing the transplantation of organs from a donor infected with the rabies virus, who presented with myocarditis. The rapid and accurate identification of the rabies virus through mNGS potentially averted the risk of transmission to organ recipients.

BACKGROUND:The foreign body reaction induced by the implantation of biomaterials can lead to encapsulation in fibrous tissue,impede the interaction between the implant and host tissue,compromise implant functionality,and reduce its lifespan.OBJECTIVE:To focus on the development of regulatory strategies for foreign body reactions in biomaterials,including strategies based on surface modification of biomaterials,drug delivery and biomimetic surface modification and discuss the advantages and limitations of these methods.METHODS:The relevant articles published from January 2000 to March 2024 were searched on PubMed,Wiley,EBSCOhost,ScienceDirect,and Elsevier databases using search terms"biological materials,foreign body reaction,fibrosis,macrophage,myofibroblasts,inflammation,regulation,tissue repair."Finally,69 articles were included for further analysis.RESULTS AND CONCLUSION:By modifying the surface characteristics of biomaterials,such as size,shape,roughness,surface charge,hydrophilicity,and mechanical stiffness,it is possible to mitigate immune system stimulation and reduce the risk of foreign body reaction.Controlled drug stimulation combined with controlled degradation of carrier materials can generate sustained chemical reactions that effectively minimize foreign body reaction.Biomimetic surface modification techniques like zwitterion coating,protein molecular coating,and other bioactive molecular coatings have been shown to significantly decrease short-term foreign body reaction.Due to the complexity of the immune response to implants and tissue regeneration,the overall balance between foreign body reaction and tissue regeneration should also be considered when designing and manufacturing implants.

Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.

Objective:To investigate the risk factors for futile recanalization after endovascular mechanical thrombectomy (EMT) beyond 24 hours from last known well in patients with anterior circulation large vessel occlusion stroke, and develop a nomogram prediction model.Methods:Patients with anterior circulation large vessel occlusion stroke underwent EMT beyond 24 hours from last known well in the China Interventional Stroke Registry (CISR) database from May 2016 to September 2023 were included retrospectively. Futile recanalization was defined as successful vascular recanalization (modified Thrombolysis in Cerebral Infarction [mTICI] ≥2b), but the modified Rankin Scale score was >2 at 3 months after procedure. Independent predictive factors for futile recanalization were screened through stepwise multivariate logistic regression analysis and a nomogram prediction model was developed based on these factors, and the predictive value of the nomogram model was evaluated through receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results:A total of 98 patients with anterior circulation large vessel occlusion stroke underwent EMT and achieved successful recanalization beyond 24 hours from last known well were included. There were 80 males (81.63%), with a median age of 63 (interquartile range, 52-69) years, and 44 patients (44.90%) had futile recanalization. Univariate analysis showed that the age, baseline National Institutes of Health Stroke Scale (NIHSS) score, and fasting blood glucose of the futile reperfusion group were significantly higher than those of the effective reperfusion group, while the Alberta Stroke Program Early CT Score (ASPECTS) and the proportion of patients with good collateral circulation were significantly lower than those of the effective reperfusion group (all P<0.05). Stepwise multivariate logistic regression analysis showed that higher age, blood glucose and baseline NIHSS score, lower collateral circulation score and ASPECTS were the independent predictive factors of futile recanalization. ROC curve analysis shows that the area under the curve of the nomogram model developed based on the above predictive factors was 0.84 (95% confidence interval 0.79-0.94). Further internal validation using bootstrap method with 1 000 repeated samples showed that the area under the curve was still as high as 0.83 (95% confidence interval 0.76-0.90). The calibration curve and clinical decision curve showed that this prediction model had good calibration accuracy and clinical net benefit. Conclusions:Patients with anterior circulation large vessel occlusion stroke beyond 24 hours from last known well have a higher risk of futile recanalization after undergoing EMT. Advanced age, higher blood sugar level, more serious baseline neurological deficits, larger infarct volume, and poorer collateral circulation are significantly associated with the futile recanalization. The nomogram developed based on the above factors provides a quantitative tool for predicting the risk of futile recanalization before procedures.

Secondary white matter injury after ischemic stroke refers to the secondary changes in the white matter structure outside the infarct site that are not directly damaged after stroke, often involving key connecting areas such as the corpus callosum and contralateral internal capsule. This injury is closely associated with post-stroke cognitive impairment, motor dysfunction, and language disorders, which affects the long-term outcome. Its pathophysiological mechanisms mainly include immune and inflammatory imbalance, excitotoxicity and mitochondrial dysfunction, blood-brain barrier damage, axonal injury, and remyelination disorder. Exploring these mechanisms in depth can help promote early diagnosis and intervention of secondary white matter damage after ischemic stroke, provide theoretical basis for the development of targeted treatment strategies, and promote functional recovery in patients with stroke.

A total of 1 159 measles cases were reported in Zhuhai City from 2005 to 2022, with an average annual incidence rate of 4.21/10 5 (0-30.51/10 5). The M( Q1, Q3) age of the cases was 6.10 years old (10 months,23.20 years old), with the youngest cases being 2 months and the oldest age of 55 years old. The distribution of cases by age group was as follows: individuals aged18 years and older (34.94%), 8-23 months (22.95%), 2-6 years old (16.74%), 7-17 years old(12.86%) and infants under 8 months (12.51%), respectively. The primary groups affected by the disease included scattered children, workers, and students. The regional distribution exhibited distinct clustering characteristics in urban areas or streets with a high concentration of the migrant population. Following the initiation of Measles-containing Vaccine Supplementary Immunization Activities (MCV SIA) in 2009, the incidence of measles in Zhuhai City has significantly decreased, and there is no evident seasonal distribution of cases.