Objective: To investigate the impact of RhE antigen-matched transfusion during liver transplantation on early postoperative recovery and complications. Methods: In this retrospective cohort study, ninety-five patients undergoing liver transplantation at Kunming First People's Hospital between January 2022 and July 2025 were enrolled. Patients were divided into two groups: Group 1 (RhE-mismatched transfusion, n=57) and Group 2 (RhE-matched transfusion, n=38). The baseline data, complete blood counts, hepatic and renal function, coagulation parameters, and complication rates between the two groups were compared at postoperative days 1, 3, 5, 7, and 10. Survival analysis was performed using the Kaplan-Meier method. Results: The baseline characteristics were well-balanced and comparable between the two groups (all P>0.05). The early postoperative mortality rate in the mismatched group (31.58%, 18/57) was significantly higher than that in the matched group (10.53%, 4/38) (P=0.017). The incidence of postoperative hepatic encephalopathy was significantly higher in the mismatched group (50.88%, 29/57) than in the matched group (10.53%, 4/38) (P<0.001). The incidence of postoperative haemorrhage in the mismatched group (24.56%, 14/57) was higher than that in the matched group (5.26%, 2/38), with a statistically significant difference (P=0.014). The incidence of perioperative infection in the mismatched group (28.07%, 16/57) was higher than that in the matched group (10.53%, 4/38), with a statistically significant difference (P=0.04). Corresponding odds ratios (OR) and 95% confidence intervals indicated a lower risk of these adverse events in the matched group. On postoperative day 1, the change in activated partial thromboplastin time (-1.6, 20.5) in the mismatched group was greater than in the matched group (-0.2, 5.5). The change in international normalised ratio (-0.56, 1.22) in the mismatched group was greater than in the matched group (-0.18, 0.32), while the change in albumin (-4.0, 4.8) was smaller in the mismatched group than in the matched group (-2.5, 8.8). On postoperative day 5, the change in albumin (-0.41±7.83) in the mismatched group was smaller than in the matched group (2.68±4.53). At postoperative day 7, the change in albumin in the mismatched group (-0.61±7.38) was smaller than that in the matched group (2.51±5.85), while the change in D-dimer in the mismatched group (0.73, 7.4) was greater than that in the matched group (-1.6, 4.3). On postoperative day 10, the mismatched group exhibited significantly higher fibrinogen levels (-1.21, 1.78) than the matched group (-0.49, 0.97), and significantly longer prothrombin times (-11.3, -2.7) than the matched group (-6.2, -0.8) (all P<0.05). The matched group exhibited a mean overall survival (OS) of 32.803 months (95% CI:29.171-36.436 months), significantly exceeding the mismatched group's 28.996 months (95% CI:24.202-33.790 months). The log-rank test yielded statistically significant results (χ =4.307, P=0.038). Conclusion: Implementing RhE blood group-matched transfusion during liver transplantation may help reduce early postoperative mortality and the incidence of major complication rates, promote faster recovery of coagulation and liver function, and thereby improve short-term patient outcomes.

Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

Objective: To summarize the treatment methods and efficacy of a patient with pure red cell aplasia (PRCA) after allogeneic hematopoietic stem cell transplantation (allo-HSCT), and to accumulate relevant case data. Methods: The clinical treatment and laboratory test data of a patient with PRCA after allo-HSCT in our hospital were retrospectively collected. The therapeutic strategy, monitoring parameters, and treatment outcomes were summarized. Results: Upon suspicion of post-transplant PRCA, the patient was promptly treated with intravenous injection of human immunoglobulin and three sessions of plasma exchange. The titer of blood group antibodies in the patient decreased, and the hemolytic symptoms were relieved. Over one year post-transplantation, the patient exhibited a sustained impairment of erythropoiesis, necessitating continued red blood cell transfusions. After treatment with intravenous daratumumab (400 mg twice weekly for 4 weeks), the pateint's hemoglobin (Hb) and reticulocyte (Ret) levels normalized rapidly, the ABO blood type converted from the recipient to the donor type, and the titer of IgM blood group antibodies returned to normal. The patient was successfully weaned off red blood cell transfusions, indicating the clinical efficacy of the treatment. Conclusion: Daratumumab shows effectiveness in the treatment of refractory PRCA after allo-HSCT in the case. It is essential to monitor Hb, Ret and the titer of blood group antibodies during treatment. Nevertheless, the interference of daratumumab with the titer of blood group antibodies should be considered.

Objective:To investigate the inhibitory effect of Xiaojianzhong Granule(XJZG)on food allergy(FA)and related mecha-nisms in terms of gut microbiota,zonula occluden-1(ZO-1),and Occludin.Methods:A total of 24 specific pathogen-free female BALB/c mice were randomly divided into normal group,model group,prevention group,and treatment group,with 6 mice in each group.The mice in the prevention group were given XJZG by gavage at a standard dose of 5.85 g/kg/day from 3 days before the first challenge till 4 hours before the last challenge;the mice in the treatment group were given XJZG at the double dose for 3 days based on the allergy score;the mice in the other groups were given an equal volume of distilled water by gavage.At the end of the experiment,al-lergy score and anal temperature were measured;flow cytometry was used to measure eosinophils and mast cells in mesenteric lymph nodes(MLNs);toluidine blue staining was performed for mast cells in jejunal tissue;immunohistochemistry was used to measure the expression of ZO-1 and Occludin;16S rRNA sequencing was per-formed to analyze the microbiota in the intestinal content;high-performance liquid chromatography-mass spectrometry was used to measure the content of short-chain fatty acids(SCFAs)in jejunal lavage fluid.Results:Compared with the model group,the prevention group and the treatment group had significant reductions in al-lergy score(P=0.000,P=0.000),anal temperature(P=0.002,P=0.000),the proportion of eosinophils and mast cells in MLNs(P<0.05),and mast cell infiltration in jejunal tissue(P=0.000,P=0.000).Compared with the normal group,the model group had signifi-cant increases in the relative abundances of Erysipelaceae and Turicibacter,while the prevention group and the treatment group had disappearance of Erysipelaceae and Turicibacter and an increase in the relative abundance of Porphyromonadaceae.Compared with the normal group,the model group had a significant reduction in the content of propionate in jejunal lavage fluid(P=0.014),and compared with the model group,the prevention group had a significant increase in the content of propionate in jejunal lavage fluid(P=0.024),as well as a significant increase in the treatment group(P=0.008).In the model group,the expression of ZO-1 was downregulated(P=0.010),and the expression of Occludin was significantly downregulated(P=0.002),while the expression of ZO-1 and Occludin re-turned to normal levels in the prevention group and the treatment group(P=0.001,P=0.013;P=0.025,P=0.015).Conclusion:XJZG can change the composition and abundance of gut microbiota,increase the concentration of SCFAs,upregulate the expression of ZO-1 and Occludin,promote the repair of intestinal barrier,and inhibit food allergy.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

Aim To investigate the intestinal protection and possible mechanism of magnolol(MG)in newborn rats with necrotizing enterocolitis(NEC).Methods The rats were randomly divided into control group(Ctrl group),model group(NEC group)and treatment group(MG group).The NEC model was induced by hypoxia,cold stimulation,deep formula milk and LPS intragastric administration in 7-day-old rats for four days.They were killed after five days of treatment with MG(20 mg·kg-1).HE staining was used to observe the intestinal pathological injury.Western blot was used to detect the expressions of IL-1 β,TNF-α,NL-RP3,ASC,caspase-1 and tight junction protein in the distal ileum of rats.Colon contents were collected for 16S rDNA sequencing to understand the gut microbio-ta.Results MG improved the body mass and intesti-nal injury of NEC neonatal rats.The expressions of in-testinal IL-1β,TNF-α,NLRP3,ASC and caspase-1 proteins were down-regulated,and the expressions of Claudin,Occludin and ZO-1 proteins were up-regula-ted.16S rDNA showed that MG increased the diversity of intestinal flora,and at the phylum level,MG in-creased the abundance of firmicutes and bacteroides in NEC model,and decreased the abundance of pro-teobacteria.At the genus level,MG treatment in-creased the abundance of Lactobacillus,unclassified_Muribaculaceae,Racteroides,but decreased the abun-dance of Escherichia_Shigella,Rodentibacter and Fuso-bacterium.Conclusion MG intervention can protect the intestinal tract of NEC rats by potentially improving barrier function,and regulating the intestinal microbiota through the NLRP3/ASC/caspase-1 signaling pathway.

Objective To explore the risk factors for noncontiguous spinal fractures(NSFs)in the elderly.Methods The clinical data of 614 elderly patients with spinal fracture from January 2013 to December 2019 were analyzed retrospectively.Patients were divided into the NSFs group and the Non-NSFs group according to whether NSFs occurred or not.Univariate analysis and multivariate Logistic regression analysis were used to screen the risk factors of NSFs.Results Univariate analysis showed that female(P=0.003),high-energy violent injury(P=0.032),osteoporosis(P=0.004),fracture in spring(P=0.020),and previous spinal fracture history(P<0.001)were associated with the occurrence of NSFs.Multivariate Logistic regression analysis showed that fracture in spring(P=0.024),previous spinal fracture history(P<0.001)and high-energy violent injury(P=0.038)were the independent risk factors for the occurrence of NSFs in the elderly.Conclusion High-energy violent injury,fracture in spring and previous spinal fracture history are the independent risk factors for the occurrence of NSFs in the elderly.Therefore,elderly patients with the above risk factors should be examined more carefully and comprehensively to avoid missed diagnosis and delayed diagnosis.In order to reduce the incidence of this disease,corresponding measures should be taken according to the preventable risk factors.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Myocardial fibrosis(MF)is the leading cause of car-diac insufficiency.Its complex pathogenesis and lack of effective treatment are key issues to be addressed in the cardiovascular field.Mitochondrial quality control system(MQC)is an impor-tant mechanism for eukaryotic cells to maintain the stability of mitochondrial form,quantity and quality.MQC disorders,which are characterized by low level of mitochondrial biogenesis,exces-sive mitochondrial oxidative stress,mitochondrial autophagy de-fect and mitochondrial dynamics disorder,play a crucial role in mediating the pathophysiological process of MF.Consequently,this article reviews the role of MQC in MF pathogenesis and the latest research,in order to better understand the molecular mech-anism of MF and provide reference for the development of more natural drugs in the future.