Objective To explore the clinical efficacy of plasma exchange (PE) and double-filtration plasmapheresis (DFPP) pretreatment regimens for high-titer ABO-incompatible kidney transplantation (ABOi-KT). Methods A retrospective analysis was conducted on 31 cases of ABOi-KT with a follow-up period ≥1 year admitted to Zhongshan Hospital Affiliated to Fudan University from April 2016 to August 2025. The efficacy differences between the PE combined with rituximab (RTX) + oral triple immunosuppressive regimen and the DFPP combined with RTX + oral triple immunosuppressive regimen were compared and analyzed. The titers of blood group antibodies and serum creatinine levels before and after the operation were monitored. The survival curves and cumulative risk occurrence curves were plotted using the Kaplan-Meier method. The survival rates of recipients and transplanted kidneys and the occurrence of complications were analyzed. Results Both the PE regimen and the DFPP regimen may effectively reduce the preoperative blood group antibody titer of the recipients to ≤1∶16. The one-year survival rate of the recipients and the transplanted kidneys both reached 100% after the operation. The postoperative serum creatinine levels of recipients who received the DFPP regimen were lower and more stable. There was no statistically significant difference in the incidence of complications between the two regimens during the same follow-up period. Conclusions Both the PE and DFPP regimens are effective pretreatment regimens for ABOi-KT. The DFPP regimen has more advantages in reducing treatment operations, lowering drug dosage and maintaining the stability of postoperative renal function. For recipients with a high initial antibody titer (≥ 1∶32), individualized determination of the number and frequency of plasma processing for pretreatment may achieve ideal therapeutic effects.

Objective To analyze the application effects of artificial intelligence (AI) software and Mimics software in preoperative three-dimensional (3D) reconstruction for thoracoscopic anatomical pulmonary segmentectomy. Methods A retrospective analysis was conducted on patients who underwent thoracoscopic pulmonary segmentectomy at the Second People's Hospital of Huai'an from October 2019 to March 2024. Patients who underwent AI 3D reconstruction were included in the AI group, those who underwent Mimics 3D reconstruction were included in the Mimics group, and those who did not undergo 3D reconstruction were included in the control group. Perioperative related indicators of each group were compared. Results A total of 168 patients were included, including 73 males and 95 females, aged 25-81 (61.61±10.55) years. There were 79 patients in the AI group, 53 patients in the Mimics group, and 36 patients in the control group. There were no statistical differences in gender, age, smoking history, nodule size, number of lymph node dissection groups, postoperative pathological results, or postoperative complications among the three groups (P>0.05). There were statistical differences in operation time (P<0.001), extubation time (P<0.001), drainage volume (P<0.001), bleeding volume (P<0.001), and postoperative hospital stay (P=0.001) among the three groups. There were no statistical differences in operation time, extubation time, bleeding volume, or postoperative hospital stay between the AI group and the Mimics group (P>0.05). There was no statistical difference in drainage volume between the AI group and the control group (P=0.494), while there were statistical differences in operation time, drainage tube retention time, bleeding volume, and postoperative hospital stay (P<0.05). Conclusion For patients requiring thoracoscopic anatomical pulmonary segmentectomy, preoperative 3D reconstruction and preoperative planning based on 3D images can shorten the operation time, postoperative extubation time and hospital stay, and reduce intraoperative bleeding and postoperative drainage volume compared with reading CT images only. The use of AI software for 3D reconstruction is not inferior to Mimics manual 3D reconstruction in terms of surgical guidance and postoperative recovery, which can reduce the workload of clinicians and is worth promoting.

OBJECTIVE To establish the fingerprint of Pinghuo tea standard decoction and a method for determination of multi-component to clarify the transfer relationship of quantities and quality from pieces and standard decoction. METHODS Fifteen batches of Pinghuo tea standard decoction were prepared and the extract rate was determined； the fingerprint of the preparation was established by using high-performance liquid chromatography（HPLC）； the similarity evaluation and the determination of common peaks were performed， and chemometric analysis was performed； the same method was used to determine the content of indicator components and the transfer rate was calculated. The chromatographic column was Venusil C18 column with mobile phase consisted of acetonitrile-0.1% phosphoric acid solution （gradient elution）； the column temperature was 30 ℃， and the detection wavelengths were 238 nm （0-37 min， 85-102 min） and 330 nm （37-85 min） at a flow rate of 1.0 mL/min with an injection volume of 10 μL. RESULTS The similarity of HPLC fingerprints for 15 batches of Pinghuo tea standard decoction was not lower than 0.968. A total of 24 common peaks were calibrated and 9 peaks were recognized， which were as follows neochlorogenic acid （peak 3）， chlorogenic acid （peak 6）， geniposide （peak 9）， glycyrrhizin （peak 10）， galuteolin （peak 11）， isochlorogenic acid A （peak 14）， luteolin （peak 21）， kaempferol （peak 23） and glycyrrhizic acid （peak 24）. Cluster analysis， principal component analysis and orthogonal partial least squares discriminant analysis showed consistent results， all of which could classify the 15 batches of samples into three categories. The linear range of indicator components in 15 batches of Pinghuo tea standard decoction， such as geniposide， luteolin， isochlorogenic acid A， glycyrrhizin， and glycyrrhizic acid， were 0.020 580-0.411 600， 0.001 617-0.080 850， 0.006 076-0.607 600， 0.005 125-0.071 740， and 0.017 288-0.432 200 mg/mL， respectively； RSDs of precision， repeatability， stability and recovery rate tests were all not higher than 4% （n＝6）. The mass fractions ranged 3.227 9-10.002 2， 0.297 4-0.554 6， 3.350 1-6.159 6， 0.720 6-1.073 3， 2.003 1-3.030 1 mg/g； transfer rates from the pieces and standard decoction were 19.762 8%-35.840 5%， 12.123 3%-21.254 0%， 46.097 2%-82.869 4%， 58.708 8%-91.629 6%， 39.114 3%-63.710 6%. The transfer rates of the extract from 15 batches of Pinghuo tea standard decoction ranged from 61.15%-84.68%. CONCLUSIONS Established HPLC fingerprint and content determination methods in this study are simple and accurate， which can provide reference for the quantitative value transfer study， quality control， clinical application and the development of subsequent formulations of Pinghuo tea standard decoction.

ObjectiveINF2 is a member of the formins family. Abnormal expression and regulation of INF2 have been associated with the progression of various tumors, but the expression and role of INF2 in hepatocellular carcinoma (HCC) remain unclear. HCC is a highly lethal malignant tumor. Given the limitations of traditional treatments, this study explored the expression level, clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets. MethodsIn this study, we used public databases to analyze the expression of INF2 in pan-cancer and HCC, as well as the impact of INF2 expression levels on HCC prognosis. Quantitative real time polymerase chain reaction (RT-qPCR), Western blot, and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues. The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples. Subsequently, the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments. Finally, the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments. ResultsINF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival, liver cirrhosis and pathological differentiation of HCC patients. The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC. In vivo and in vitro HCC models, upregulated expression of INF2 triggers the proliferation and migration of the HCC cell, while knockdown of INF2 could counteract this effect. INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression, thus promoting tumor progression. ConclusionINF2 is highly expressed in HCC and is associated with poor prognosis. High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression, and targeting INF2 may be beneficial for HCC patients with high expression of INF2.

The incidence of in-hospital cardiac arrest (IHCA) has increased over the past decade, with more than half occurring in intensive care units (ICUs).[1] ICU cardiac arrest (ICU-CA) presents unique challenges, with worse outcomes than those in monitored wards, highlighting the need for early detection and intervention.[2] Up to 80% of patients exhibit signs of deterioration hours before IHCA.[3] Although early warning scores based on vital signs are useful, their effectiveness in ICUs is limited due to abnormal physiological parameters.[4] Laboratory markers, such as sodium, potassium, and lactate, are predictive of poor outcomes,[5] but static measurements may not capture the patient’s trajectory. Trends in laboratory indicators, such as variability and extremes, may offer better predictive value.[6] This study aimed to evaluate ICU-CA predictive factors, with a focus on vital signs and trends of laboratory indicators.

Objective: Evidence suggests that acceptance and commitment therapy (ACT) processes function as transdiagnostic factors in both major depressive disorder (MDD) and obsessive-compulsive disorder (OCD) individually. However, few studies have directly compared these two clinical disorders. Therefore, this study aimed to identify potential transdiagnostic factors associated with ACT across MDD, OCD, and healthy control (HC) groups. Methods: A total of 34 MDD patients, 43 OCD patients, and 46 HCs were recruited through subway advertisements and outpatient services at a university hospital. Participants completed the Acceptance and Action Questionnaire-II, Cognitive Fusion Questionnaire, thought-action fusion (TAF) scale, and symptom severity scales. Results: Direct group comparisons revealed higher psychological inflexibility, cognitive fusion, and likelihood of TAF in the clinical groups compared to the HCs, with no differences between the MDD and OCD groups. These three transdiagnostic factors were variously correlated with both depressive and obsessive–compulsive (OC) symptoms in all groups. Regression analyses demonstrated that the three transdiagnostic factors accounted for 26% of the depressive symptoms in the MDD group (R2=0.26, p=0.028) and 27% of the OC symptoms in the OCD group (R2=0.27, p=0.014). Conclusion These findings from the direct group comparisons of the three groups confirmed that psychological inflexibility, cognitive fusion, and likelihood of TAF are potential transdiagnostic factors that moderately contribute to the primary symptoms of both MDD and OCD. From another perspective, these results also highlight the need to consider how ACT addresses disorder-specific variations beyond what is explained by these transdiagnostic factors in the future.

Objective: Resilience is the ability to bounce back from stressful events using individual and environmental resources. The online intervention program, MoVemEnT, which includes mindfulness training and emotion regulation, was developed to enhance resilience among young adults. Methods: Persons without current medical or psychiatric diseases, aged 20–40 years, were recruited. Ninety-six participants were randomly assigned to either the intervention group or a waiting list control (WLC) group, with 45 participants per group completing the program. Results: Results demonstrated significant improvements in the intervention group in measures of emotion regulation (Difficulties in Emotion Regulation Scale, DERS) and clinical symptoms of depression (Center for Epidemiological Studies-Depression Scale, CES-D) and anxiety (Generalized Anxiety Disorder-7) compared to the WLC group (all p<0.05). Correlation analyses indicated that improvements in DERS scores were associated with enhanced resilience, as measured by the Korean Resilience Quotient-53 (KRQ-53) and reduced CES-D scores. Reduction in DERS scores can reduce depressive symptoms (CES-D) through direct and indirect pathways via an increase in KRQ-53, according to mediation analyses. Conclusion Our findings reported positive effects of the MoVemEnT program, which includes short videos and brief homework assignments, on resilience in young adults. This study suggests that online intervention programs could offer an opportunity to simultaneously improve general mental health among a large population and may help reduce the burden of face-to-face psychological interventions.

Recent advancements in tuberculosis treatment research emphasize innovative strategies that enhance treatment efficacy, reduce adverse effects, and adhere to patient-centered care principles. As tuberculosis remains a significant global health challenge, integrating new and repurposed drugs presents promising avenues for more effective management, particularly against drug-resistant strains. Recently, the spectrum concept in tuberculosis infection and disease has emerged, underscoring the need for research aimed at developing treatment plans specific to each stage of the disease. The application of precision medicine to tailor treatments to individual patient profiles is crucial for addressing the diverse and complex nature of tuberculosis infections. Such personalized approaches are essential for optimizing therapeutic outcomes and improving patient adherence—both of which are vital for global tuberculosis eradication efforts. The role of tuberculosis cohort studies is also emphasized, as they provide critical data to support the development of these tailored treatment plans and deepen our understanding of disease progression and treatment response. To advance these innovations, a robust tuberculosis policy framework is required to foster the integration of research findings into practice, ensuring that treatment innovations are effectively translated into improved health outcomes worldwide.