Bronchial asthma （BA） is a common chronic inflammatory airway disease characterized by airway hyperresponsiveness and reversible airflow limitation. Lung macrophages （LMs）， as important effector cells of the innate immune system， play an important role in recognizing and engulfing pathogens， clearing harmful particles， and regulating immune responses. LMs can be polarized to M1 （pro-inflammatory） or M2 （anti-inflammatory） in different immune environments and participate in promoting or inhibiting inflammatory response， as well as lung parenchyma injury and repair （airway remodeling）， playing a key role in the BA occurrence and development. Regulating the polarization balance of macrophages can not only inhibit the inflammatory response in the airway and reduce airway hyperresponsiveness， but also improve airway remodeling and immune regulation， reduce airway mucus secretion， and alleviate the clinical BA symptoms. Traditional Chinese medicine and its active ingredients， especially polysaccharides and saponins， can regulate the polarization balance of M1/M2 macrophages. Traditional Chinese medicine compounds can balance the secretion of anti-inflammatory and pro-inflammatory factors by staging treatment and targeting the polarization state of M1/M2 macrophages， inhibit inflammatory response in the airway， reduce airway remodeling， and improve the BA symptoms. This paper summarized the research progress on the regulation of M1/M2 macrophage polarization by traditional Chinese medicine and its active ingredients， aiming to provide scientific evidence for the precise targeted therapy of BA.

Bronchial asthma （BA） is a common chronic inflammatory airway disease characterized by airway hyperresponsiveness and reversible airflow limitation. Lung macrophages （LMs）， as important effector cells of the innate immune system， play an important role in recognizing and engulfing pathogens， clearing harmful particles， and regulating immune responses. LMs can be polarized to M1 （pro-inflammatory） or M2 （anti-inflammatory） in different immune environments and participate in promoting or inhibiting inflammatory response， as well as lung parenchyma injury and repair （airway remodeling）， playing a key role in the BA occurrence and development. Regulating the polarization balance of macrophages can not only inhibit the inflammatory response in the airway and reduce airway hyperresponsiveness， but also improve airway remodeling and immune regulation， reduce airway mucus secretion， and alleviate the clinical BA symptoms. Traditional Chinese medicine and its active ingredients， especially polysaccharides and saponins， can regulate the polarization balance of M1/M2 macrophages. Traditional Chinese medicine compounds can balance the secretion of anti-inflammatory and pro-inflammatory factors by staging treatment and targeting the polarization state of M1/M2 macrophages， inhibit inflammatory response in the airway， reduce airway remodeling， and improve the BA symptoms. This paper summarized the research progress on the regulation of M1/M2 macrophage polarization by traditional Chinese medicine and its active ingredients， aiming to provide scientific evidence for the precise targeted therapy of BA.

Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

Hygroscopicity research has long been a key focus and hot topic in Chinese materia medica（CMM）. Elucidating hygroscopic mechanisms plays a vital role in formulation design， process optimization， and storage condition selection. Hygroscopic models serve as essential tools for characterizing CMM hygroscopic mechanisms， with various types available. The double exponential model is a kinetic mathematical model constructed based on the law of conservation of energy and Fick's first law of diffusion， tailored to the physical properties of CMM extracts. In recent years， this model has been extensively applied to simulate the dynamic moisture absorption behavior of CMM extracts and solid dosage forms under varying humidity conditions. It has revealed the correlation between moisture absorption kinetic parameters and material properties， offering a new perspective for characterizing the moisture uptake behavior of CMM. This paper systematically reviews the application progress of this model in the field of CMM， analyzes its advantages， disadvantages， and challenges in this domain， and explores its potential application trends in other fields. It aims to provide references for elucidating the moisture absorption mechanisms of CMM and researching moisture-proofing technologies， while also offering insights for its broader application in food and polymer materials.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Aluminum adjuvants are widely used in the field of vaccines due to their ability to induce efficient and long-lasting immune responses and good safety profile. With the development of immunology, the requirements for adjuvants have gradually increased, and traditional aluminum adjuvants can no longer meet all the needs of application. The development of novel aluminum adjuvants has become a hot research topic in order to achieve good immunity-enhancing effects and induce specific types and strengths of immune responses. This review briefly introduces the mechanism of action and safety of aluminum adjuvants, with focus on the research progress of novel aluminum adjuvants in recent years, mainly including nano-aluminum adjuvants and composite aluminum adjuvants (aluminum adjuvants compounded with immunity-stimulating molecules or delivery carriers), and a prospect of their future research direction, aiming to provide some reference for the further development and clinical application of aluminum adjuvants.

[Objective] To explore the relationship between neutrophil activation under cardiopulmonary bypass (CPB) and the incidence of cardiac surgery-associated acute kidney injury (CS-AKI). [Methods] This prospective cohort study enrolled adult patients who scheduled for cardiac surgery under CPB at West China Hospital between May 1, 2022 and March 31, 2023. The primary outcome was acute kidney injury (AKI). Blood samples (5 mL) were obtained from the central vein before surgery, at rewarming, at the end of CPB, and 24 hours after surgery. Neutrophils were labeled with CD11b, CD54 and other markers. To assess the effect of neutrophils activation on AKI, propensity score matching (PSM) was employed to equilibrate covariates between the groups. [Results] A total of 120 patients included into the study, and 17 (14.2%) developed AKI. Both CD11b⁺ and CD54⁺ neutrophils significantly increased during the rewarming phase and the increases were kept until 24 hours after surgery. During rewarming, the numbers of CD11b⁺ neutrophils were significantly higher in AKI compared to non-AKI (4.71×10⁹/L vs 3.31×10⁹/L, Z=-2.14, P<0.05). Similarly, the CD54⁺ neutrophils counts were also significantly higher in AKI than in non-AKI before surgery (2.75×10⁹/L vs 1.79×10⁹/L, Z=-2.99, P<0.05), during rewarming (3.12×10⁹/L vs 1.62×10⁹/L, Z=-4.34, P<0.05), and at the end of CPB (4.28×10⁹/L vs 2.14×10⁹/L, Z=-3.91, P<0.05). An analysis of 32 matched patients (16 in each group) revealed that CD11b⁺ and CD54⁺ neutrophil levels of AKI were 1.74 folds (4.83×10⁹/L vs 2.77×10⁹/L, Z=-2.72, P<0.05) and 2.34 folds (3.32×10⁹/L vs 1.42×10⁹/L, Z=-4.12, P<0.05), respectively, of non-AKI at rewarming phase. [Conclusion] Neutrophils are activated during CPB, and they can be identified by CD11b/CD54 markers. The activated neutrophils of AKI patients are approximately 2 folds of non-AKI during the rewarming phase, with disparity reached peak between groups during rewarming. These findings suggest the removal of 50% of activated neutrophils during the rewarming phase may be effective to reduce the risk of AKI.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To explore the value of droplet digital PCR (ddPCR) and next-generation sequencing (NGS) technology in the pathogenetic diagnosis of sepsis patients, and to provide a reference basis for the early diagnosis of sepsis.Methods:A retrospective analysis was used to collect the clinical data of 53 patients with suspected sepsis admitted to the intensive care unit (ICU) of the Second Affiliated Hospital of Xi'an Jiaotong University from February to August 2023, and the blood was collected for blood culture, ddPCR and NGS detection simultaneously.Results:After excluding viral infections, the blood culture positive rate was 18.87%(10/53), the ddPCR positive rate was 47.17% (25/53), and the NGS positive rate was 41.51%(22/53). When using the ddPCR detection range as a reference, the ddPCR positivity rate was 98.11% (52/53), while the NGS positivity rate was 84.91%(45/53). There was a statistically significant difference in the positivity rate between the two groups ( P<0.05). Using blood culture as a reference, the sensitivity (60.00% vs 70.00%) and specificity (65.11% vs 69.77%) of ddPCR and NGS were in good agreement. In terms of pathogen detection, NGS had a wider detection range than ddPCR (34 species vs 21 species), and the difference was statistically significant (χ 2=55.000, P<0.001). In terms of time-consumption, blood culture took 66.93 h on average, while ddPCR was faster than NGS (about 4 h vs 20 h ). In terms of antimicrobial resistance (AMR) gene detection, five resistant strains were detected by both ddPCR and NGS, ddPCR detected two AMR genes, namely blaKPC and mecA, while NGS detected five AMR genes. Among them, except for blaKPC which was detected outside the target range in ddPCR, the other four AMR genes were also detected by ddPCR. Conclusions:Compared with blood culture, ddPCR and NGS have good application value in the etiological diagnosis of sepsis. Specifically, ddPCR has a higher detection rate of pathogens and takes less time. On the other hand, NGS has a wider detection range, especially for the discovery of some rare bacteria or pathogens that are difficult to be cultured routinely.