Objective: To evaluate the safety and efficacy of ABO non-identical platelets with reduced plasma (ABO-NPRP) transfusion in patients with hematological diseases. Methods: A retrospective analysis was conducted on 52 therapeutic doses of apheresis platelets with reduced plasma prepared at Chongqing Blood Center of the Chinese People's Liberation Army. The transfusion efficacy (24 h CCI) and the transfusion adverse reactions of these apheresis platelets were also observed in 35 patients with hematological diseases in First Affiliated Hospital of Army Medical University. Comparisons were made with a control group consisting of patients who received only identical apheresis platelets during the same period. Meanwhile, the effect of ABO-NPRP on the subsequent platelet transfusion efficacy was observed. Results: There was no statistically significant difference in PDW, MPV, and PLCR before and after the preparation of apheresis platelets with reduced plasma (P>0.05), while the difference in platelet count was statistically significant [(2.86±0.34)×10 per therapeutic dose vs (2.46±0.28)×10 per therapeutic dose, P<0.001]; there was no statistically significant difference in the 24 h CCI transfusion efficacy between conventional identical apheresis platelets and ABO-NPRP, with transfusion efficacy rates of 76.60% and 78.85%, respectively (P>0.05); there was no statistically significant difference in platelet transfusion efficacy between the group with ABO-NPRP and the group without ABO-NPRP (completely identical transfusion group), with transfusion efficacy rates of 77.78% and 75.25%, respectively (P>0.05). Conclusion: ABO-NPRP transfusion is safe, effective, demonstrating comparable efficacy to conventional identical transfusion. It can serve as an important complementary strategy to optimize the utilization of blood resources.

Objective: To evaluate the safety and efficacy of ABO non-identical platelets with reduced plasma (ABO-NPRP) transfusion in patients with hematological diseases. Methods: A retrospective analysis was conducted on 52 therapeutic doses of apheresis platelets with reduced plasma prepared at Chongqing Blood Center of the Chinese People's Liberation Army. The transfusion efficacy (24 h CCI) and the transfusion adverse reactions of these apheresis platelets were also observed in 35 patients with hematological diseases in First Affiliated Hospital of Army Medical University. Comparisons were made with a control group consisting of patients who received only identical apheresis platelets during the same period. Meanwhile, the effect of ABO-NPRP on the subsequent platelet transfusion efficacy was observed. Results: There was no statistically significant difference in PDW, MPV, and PLCR before and after the preparation of apheresis platelets with reduced plasma (P>0.05), while the difference in platelet count was statistically significant [(2.86±0.34)×10 per therapeutic dose vs (2.46±0.28)×10 per therapeutic dose, P<0.001]; there was no statistically significant difference in the 24 h CCI transfusion efficacy between conventional identical apheresis platelets and ABO-NPRP, with transfusion efficacy rates of 76.60% and 78.85%, respectively (P>0.05); there was no statistically significant difference in platelet transfusion efficacy between the group with ABO-NPRP and the group without ABO-NPRP (completely identical transfusion group), with transfusion efficacy rates of 77.78% and 75.25%, respectively (P>0.05). Conclusion: ABO-NPRP transfusion is safe, effective, demonstrating comparable efficacy to conventional identical transfusion. It can serve as an important complementary strategy to optimize the utilization of blood resources.

Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

Periodontitis is a common oral disease caused by bacteria coupled with an excessive host immune response. Stem cell therapy can be a promising treatment strategy for periodontitis, but the relevant mechanism is complicated. This study aimed to explore the therapeutic potential of mitochondria from human embryonic stem cell-derived mesenchymal stem cells (hESC-MSCs) for the treatment of periodontitis. The gingival tissues of periodontitis patients are characterized by abnormal mitochondrial structure. Human gingival fibroblasts (HGFs) were exposed to 5 μg/mL lipopolysaccharide (LPS) for 24 h to establish a cell injury model. When treated with hESC-MSCs or mitochondria derived from hESC-MSCs, HGFs showed reduced expression of inflammatory genes, increased adenosine triphosphate (ATP) level, decreased reactive oxygen species (ROS) production, and enhanced mitochondrial function compared to the control. The average efficiency of isolated mitochondrial transfer by hESC-MSCs was determined to be 8.93%. Besides, a therapy of local mitochondrial injection in mice with LPS-induced periodontitis showed a reduction in inflammatory gene expression, as well as an increase in both the mitochondrial number and the aspect ratio in gingival tissues. In conclusion, our results indicate that mitochondria derived from hESC-MSCs can reduce the inflammatory response and improve mitochondrial function in HGFs, suggesting that the transfer of mitochondria between hESC-MSCs and HGFs serves as a potential mechanism underlying the therapeutic effect of stem cells.
Humans ; Gingiva/cytology* ; Fibroblasts/metabolism* ; Mitochondria/physiology* ; Mesenchymal Stem Cells/cytology* ; Animals ; Periodontitis/therapy* ; Mice ; Reactive Oxygen Species/metabolism* ; Inflammation ; Lipopolysaccharides ; Human Embryonic Stem Cells/cytology* ; Cells, Cultured ; Adenosine Triphosphate/metabolism* ; Male

Objective:To analyze the clinical characteristics and prognostic factors of patients with acute low-frequency hearing loss（ALHL） and explore the potential role of migraine in its pathogenesis. Methods:A total of 56 ALHL patients treated at our outpatient clinic from June 2024 to January 2025 were randomly divided into two groups: a standardized treatment group and an anti-migraine treatment group. The standardized group received oral/intravenous steroids + oral/intravenous Ginkgo biloba extract, while the anti-migraine group received postauricular steroid injection/oral steroids + oral flunarizine for 2 weeks. Audiological, clinical, and psychological characteristics were collected, and statistical analysis was performed to assess clinical features and treatment outcomes, exploring the potential mechanism of migraine in ALHL. Results:The anti-migraine treatment group showed a significantly higher recovery rate than the standardized treatment group（92.86% vs 71.43%, P=0.036）. Among the anti-migraine group, 6 patients（21.43%） had a history of ALHL, 13（46.43%） had a confirmed migraine history, 26（92.86%） had anxiety, 26（92.86%） had depression, 5（17.86%） had irritable bowel syndrome, 21（75.00%） had sleep disorders, and 1（3.57%） experienced recurrence within 6 months. Conclusion:Anti-migraine therapy significantly improves the recovery rate in ALHL patients, suggesting that migraine may have a certain correlation with the pathogenesis of acute low-frequency hearing loss.
Humans ; Migraine Disorders/complications* ; Ginkgo biloba ; Male ; Female ; Flunarizine/therapeutic use* ; Plant Extracts/therapeutic use* ; Adult ; Treatment Outcome ; Middle Aged ; Ginkgo Extract

Proteolysis-targeting chimeras (PROTACs) represent a promising class of drugs that can target disease-causing proteins more effectively than traditional small molecule inhibitors can, potentially revolutionizing drug discovery and treatment strategies. However, the links between in vitro and in vivo data are poorly understood, hindering a comprehensive understanding of the absorption, distribution, metabolism, and excretion (ADME) of PROTACs. In this work, ¹⁴C-labeled vepdegestrant (ARV-471), which is currently in phase III clinical trials for breast cancer, was synthesized as a model PROTAC to characterize its preclinical ADME properties and simulate its clinical pharmacokinetics (PK) by establishing a physiologically based pharmacokinetics (PBPK) model. For in vitro-in vivo extrapolation (IVIVE), hepatocyte clearance correlated more closely with in vivo rat PK data than liver microsomal clearance did. PBPK models, which were initially developed and validated in rats, accurately simulate ARV-471's PK across fed and fasted states, with parameters within 1.75-fold of the observed values. Human models, informed by in vitro ADME data, closely mirrored postoral dose plasma profiles at 30 mg. Furthermore, no human-specific metabolites were identified in vitro and the metabolic profile of rats could overlap that of humans. This work presents a roadmap for developing future PROTAC medications by elucidating the correlation between in vitro and in vivo characteristics.

Patients with severe pneumonia caused by novel coronavirus infection are often complicated with acute respiratory distress syndrome (ARDS), which has a high mortality. ARDS is characterized by diffuse alveolar damage, pulmonary edema, and hypoxemia. Mitochondria are prone to morphological and functional abnormalities under hypoxia and viral infection, which can lead to cell apoptosis and damage, severely impacting the disease progression. Mitochondria maintain homeostasis through fission and fusion. In ARDS, hypoxia leads to the phosphorylation of dynamin-related protein 1 (Drp1), triggering excessive mitochondrial fission and damaging the alveolar epithelial barrier. Animal experiments have shown that inhibiting this process can alleviate lung injury, providing a potential direction for treatment. The pathology of novel coronavirus infection-related ARDS is similar to that of typical ARDS but more severe. Viral infection and hypoxia disrupt the mitochondrial balance, causing fission and autophagy abnormalities, promoting oxidative stress and mitochondrial DNA (mtDNA) release, activating inflammasomes, inducing the expression of hypoxia-inducible factor-1α (HIF-1α), exacerbating viral infection, inflammation, and coagulation reactions, and resulting in multiple organ damage. Mechanical ventilation and glucocorticoids are commonly used in the treatment of novel coronavirus infection-related ARDS. Mechanical ventilation is likely to cause lung and diaphragm injuries and changes in mitochondrial dynamics, while the lung protective ventilation strategy can reduce the adverse effects. Glucocorticoids can regulate mitochondrial function and immune response and improve the patient's condition through multiple pathways. The mitochondrial dynamics imbalance in novel coronavirus infection-related ARDS is caused by hypoxia and viral proteins, leading to lung and multiple organ injuries. To clarify the pathophysiological mechanism of mitochondrial dynamics imbalance in novel coronavirus infection-related ARDS and explore effective strategies for regulating mitochondrial dynamics balance to treat this disease, so as to provide new treatment targets and methods for patients with novel coronavirus infection-related ARDS. The existing treatments have limitations. Future research needs to deeply study the mechanism of mitochondrial dysfunction, develop new therapies and regulatory strategies, and improve the treatment effect.
Humans ; Respiratory Distress Syndrome/etiology* ; COVID-19 ; Mitochondrial Dynamics ; Mitochondria/metabolism* ; DNA, Mitochondrial ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Dynamins ; SARS-CoV-2

Objective To develop and compare prediction models for hyperuricemia(HUA)in perim-enopausal and postmenopausal women using Lasso regression,random forest,and multivariate logistic regres-sion.Methods A multi-stage,stratified cluster sampling method was used to select 12 790 subjects from An-ning City,Yunnan Province.Prediction models for HUA were constructed using Lasso regression,random for-est,and multivariate logistic regression.The efficacy of the model was evaluated by accuracy,sensitivity,speci-ficity,F1 score,and area under the curve(AUC).Results LASSO regression analysis screened 19 variables for inclusion in the model,such as age,waist circumference,diastolic blood pressure,BMI,HDL-C,fasting blood glucose(FBG),etc.The accuracy rate was 0.701,the sensitivity was 0.703,the specificity was 0.680,and the F1 score was 0.806.The AUC(95%CI)was 0.770(0.748-0.792).The results of the random forest model show that variables such as creatinine,triglyceride-glucose index(TyG),TG,BMI,TC,Urea nitrogen(Urea),and ALT were relatively important,with an accuracy rate of 0.663,a sensitivity of 0.653,a specificity of 0.738,and an F1 score of 0.774.The AUC(95%CI)was 0.763(0.741-0.785).Multivariate logistic re-gression results showed that 11 variables including creatinine(Cr),TyG,BMI,Urea,and ALT were included in the model,with an accuracy rate of 0.705,a sensitivity of 0.707,a specificity of 0.686,an F1 score of 0.809,and an AUC(95%CI)of 0.771(0.749-0.793).Conclusion The overall performance of LASSO re-gression and multivariate logistic regression models is better.The random forest model has a strong variable screening ability and high specificity,and can be used as a supplement to provide more accurate predictions.

OBJECTIVE To preliminarily assess the horizontal sound localization and its influencing factors in patients with unilateral sudden sensorineural hearing loss during the acute phase.METHODS The azimuth discrimination test and azimuth identification test were completed,with the speech sound(65 dB SPL)as the stimulus.The minimum audible angle(MAA)and root-mean-square error(RMSE)were obtained,and the RMSE of the affected side and the healthy side were calculated respectively.According to the WHO(2021)hearing loss classification criteria,the data were analyzed based on the pure-tone average(PTA)of the affected ear.And the best resident hearing at each frequency of the affected ear was recorded.RESULTS The performance of the unilateral sudden sensorineural hearing loss patients in the sound localization varied greatly.Some performed close to the normal level,while others completely lost the ability to localize sound.The RMSE of the moderate hearing loss group(≥35 dB HL)was significantly higher than that of the normal hearing group(P<0.01),the MAA of the moderate to severe hearing loss group(≥50 dB HL)showed statistically significant differencescompared with normal hearing group(P<0.001).The RMSE of the affected side of patients in the severe and above hearing loss group was significantly larger than that of the healthy side.Regression analysis showed that the best resident hearing at each frequency of the affected ear was the most significant factor affecting MAA(R2=0.572,P<0.001)and RMSE(R2=0.768,P<0.001).CONCLUSION The horizontal sound localization of unilateral sudden sensorineural hearing loss patients in the acute phase varies greatly.When the PTA of the affected side reaches moderate hearing loss,the localization ability is significantly lower than that of normal-hearing individuals.The best resident hearing at each frequency of the affected ear is the key factor affecting the localization ability.