Objective: To analyze the demographic characteristics of patients with red blood cell transfusion reactions, the usage of red blood cell preparations, and the differences in the composition ratio of adverse reactions based on multi-center data from the Haemovigilance Network, in order to reveal the clinical characteristics of red blood cell transfusion and its underlying issues. Methods: Clinical data of patients who experienced transfusion reactions after red blood cell transfusion in the Haemovigilance Network from 2018 to 2023 were collected. The demographic characteristics of patients who experienced transfusion reactions with different types of red blood cell preparations, the utilization of these preparations, and the differences of the composition ratios of transfusion reactions were analyzed. Count data were expressed as numbers (n) or percentages (%), and comparisons between groups were performed using the Chi-square test. Results: Red blood cell transfusion reactions were more common in females (53.56%), with the majority of patients aged 50-69 years (35.54%). The Han polulation accounted for the vast majority of patients (92.77%), and patients in the hematology and obstetrics/gynecology departments had a relatively high proportion of transfusion reactions (13.26% and 14.26%, respectively). Leukocyte-reduced red blood cells and suspended red blood cells were the most common types of transfusion reactions reported among red blood cell preparations. Allergic reactions and non-hemolytic febrile reactions were the most common transfusion reactions, and there were significant differences in the composition ratios of allergic reactions (χ =869.89, P<0.05) and non-hemolytic febrile reactions (χ =812.75, P<0.05) across various types of red blood cell preparations. Conclusion: There are differences in the demographic characteristics and composition ratio of transfusion reactions among different red blood cell preparations. The management of red blood cell transfusion reactions should be tailored to patient characteristics and conditions, and the selection and use of blood products should be optimized to reduce or avoid the occurrence of transfusion reactions, such as considering the use of washed red blood cells for patients with a history of transfusion allergies or those prone to allergies.

Objective: To investigate the role of ferroptosis in transfusion-related acute lung injury (TRALI) and evaluate the efficacy of the specific inhibitor Ferrostatin-1 (Fer-1), thereby to provide a basis for the prevention and treatment of TRALI. Methods: This study utilized a ”2-hit” model to induce TRALI in mice. The mouse model of TRALI was validated through survival curve analysis, lung tissue wet/dry weight ratio (W/D), myeloperoxidase (MPO) activity, and total protein concentration in lung tissue. Samples from the TRALI model group, LPS group, and control group (n=6) were collected. The occurrence of ferroptosis in TRALI was confirmed by measuring key ferroptosis indicators, including iron concentration in lung tissue, malondialdehyde (MDA) level, lipid peroxidation products (LPO) level, and expression levels of related proteins (GPX4, ACSL4). Additionally, a Fer-1 intervention group was added to evaluate its preventive and therapeutic effects. The survival rates and clinical symptoms of the four groups (n=6) were dynamically monitored, and the degrees of lung injury were assessed. Ferroptosis-related indicators were also measured to elucidate the protective mechanism of Fer-1. Results: A mouse model of TRALI was successfully established. Compared to the control and LPS groups, the TRALI group showed significantly higher levels of ferrous iron [(18.32±1.11) nmol/well, MDA [(14.68±0.96) μmol/L], and LPO [(1.60±0.02) μmol/L] in lung tissue (all P<0.01), along with a downregulation of GPX4 and an upregulation of ACSL4. Fer-1 pretreatment significantly reversed these abnormalities: the W/D ratio decreased to 4.01±0.43, and MPO activity significantly decreased [Fer-1 group: (21 606±4 235) pg/mL vs TRALI group: (30 724±2 616) pg/mL], the total protein concentration in lung tissue of the Fer-1 group decreased by approximately 40.8% compared to the TRALI group (all P<0.01). These changes indicate that the lung injury in mice was alleviated after treatment. Following Fer-1 intervention, ferrous iron concentration [(7.46±1.83) nmol/well] was restored to a level close to that of the control group [(5.48±0.70) nmol/well]. Lipid peroxidation tests further revealed that Fer-1 intervention reduced MDA and LPO levels by 35.8% and 29.4%, respectively (P<0.001). Additionally, the expression levels of GPX4 and ACSL4 proteins returned to near-normal levels in the treated mice (both P>0.05). Conclusion: The progression of TRALI is closely related to the activation of ferroptosis, characterized by iron overload, lipid peroxidation accumulation, and the imbalance of GPX4/ACSL4. Ferrostatin-1 significantly alleviates pulmonary edema and inflammatory damage by inhibiting the ferroptosis pathway, suggesting that targeting ferroptosis may provide a new therapeutic strategy for TRALI.

Objective To analyze the spatial and temporal distribution characteristics of hand-foot-mouth disease (HFMD) in Zibo City, to explore the key incidence areas, and to find a suitable prediction model, so as to provide reference for the prevention and control of HFMD. Methods The spatiotemporal clustering characteristics of HFMD in Zibo City from 2018 to 2023 were analyzed by using SaTScan 10.0.2 software and ArcGIS 10.7 software. A combination model of ARIMA and SVM was established, and the prediction results were verified and compared. Results Spatial clustering analysis showed that there was spatial clustering of the incidence of HFMD in various townships of Zibo City from 2020 to 2022. The high-high clustering areas and Getis-Ord hot spot areas were mainly concentrated in some main urban areas of Zhangdian District, Zichuan District, and Huantai County. A total of 2-5 aggregation areas were detected by spatiotemporal scanning analysis. The first-type aggregation areas were mainly concentrated in the towns of Zhangdian District, Huantai County, Linzi District, Zhoucun District and Gaoxin District. The aggregation months were July, August, September and November. The model prediction results showed that the ARIMA-SVM combined model was more accurate than the traditional ARIMA model. Conclusion There is a spatiotemporal clustering of hand-foot-mouth disease in Zibo City. The ARIMA-SVM combined model can be used to predict the incidence of hand-foot-mouth disease in Zibo City, and to strengthen health education and disease monitoring in high-risk areas and populations during the epidemic months.

Transcatheter arterial embolization (TAE) is the mainstay for treating advanced hepatocellular carcinoma (HCC), and the performance of the embolization material is crucial in TAE. With the development of medical imaging and the birth of "X-ray-free" technologies, we designed a new dual-mode imaging material of dimethoxy tetraphenyl ethylene (DMTPE) via emulsification by mixing poly(N-isopropylacrylamide-co-acrylic acid) (PNA) with lipiodol and fluorocarbons, which was evaluated for temperature sensitivity, stability, and dual-mode visualization in vitro. Additionally, blood vessel casting embolization and renal artery imaging were assessed in healthy rabbits. In a rabbit model with a VX2 tumor, the effectiveness of TAE for treating HCC was examined, with an emphasis on evaluating long-term outcomes of embolization and its effects on tumor growth, necrosis, and proliferation through imaging techniques. In vitro experiments confirmed that the temperature-sensitive dual-oil-phase Pickering emulsion had good flow, stable contrast, and embolism when the oil-to-oil ratio and water-to-oil ratio were both 7:3 ( v/v) and stabilized with 8% PNA. Similarly, in vivo, arterial embolization confirmed the excellent properties of DMTPE prepared at the abovementioned ratios. It was observed that DMTPE not only has an antitumor effect but can also achieve dual imaging using X-rays and ultrasound, making it a promising excellent vascular embolization material for TAE in tumor treatment.

Organoids,recognized as invaluable models in tumor and stem cell research,assume a pivotal role in the meticulous analysis of diverse datasets pertaining to their growth dynamics,drug screening processes and related phenomena.However,the manual scrutiny and conventional statistical methodologies employed in handling organoid data often grapple with challenges such as diminished precision and efficiency,heightened complexity,escalated human resource requirements,and a degree of subjectivity.Acknowledging the remarkable efficacy of artificial intelligence(AI)in the realms of biology and medicine,the incorporation of AI into organoid research stands poised to enhance the objectivity,precision and expediency of analyses.This integration empowers organoids to more effectively fulfill objectives such as disease modeling,drug screening and precision medicine.Notably,significant strides have been made in AI-driven analyses of organoid image data.The amalgamation of deep learning into image analysis facilitates a more meticulous delineation of the microstructural intricacies and nuanced changes within organoids,achieving a level of accuracy akin to that of experts.This not only elevates the precision of organoid morphology and growth recognition,but also contributes to substantial time and cost savings in research endeavors.Furthermore,the infusion of AI technology has yielded breakthroughs in the processing of organoid omics data,resulting in heightened efficiency in data processing and the identification of latent gene expression patterns.This furnishes novel tools for comprehending cellular development and unraveling the intricate mechanisms underlying various diseases.In addition to image data,AI techniques applied to diverse organoid datasets,encompassing electrical signals and spectra,have realized an unbiased classification of organoid types and states,embarking on a comprehensive journey towards characterizing organoids holistically.In the pivotal domain of drug screening for organoids,AI emerges as a stalwart companion,providing robust support for real-time process monitoring and result prediction.Leveraging high-content microscopy images and sophisticated deep learning models,researchers can dynamically monitor organoid responses to drugs,effecting non-invasive detection of drug impacts and amplifying the precision and efficiency of drug screening processes.Despite the significant strides made by AI in organoid research,challenges persist,encompassing hurdles in data acquisition,constraints in sample quality and quantity,and quandaries associated with model interpretability.Overcoming these challenges necessitates dedicated future research efforts aimed at enhancing data consistency,fortifying model interpretability,and exploring methodologies for the seamless fusion of multimodal data.Such endeavors are poised to usher in a more comprehensive and dependable application of AI in organoid research.In summation,the integration of AI technology introduces unparalleled opportunities to organoid research,resulting in noteworthy advancements.Nevertheless,interdisciplinary research and collaborative efforts remain imperative to navigate challenges and propel the more profound integration of AI into organoid research.The future holds promise for AI to assume an even more prominent role in advancing organoid research toward clinical translation and precision medicine.

In order to understand the infection and molecular genetic characteristics of goose astro-virus(GAstV)in Hotan,Xinjiang,visceral organs and swabs of dead goslings were collected asep-tically from three goose farms in Hotan,Yutian and Pashan counties,and GAstV was detected by RT-PCR.The positive samples were screened and identified in LMH cells,and the whole genome was sequenced,and the genetic characteristics of the isolates were analyzed.The results showed that the total positive rate of GAstV was 11.25％(65/578).Two strains of GAstV named as GAstV/XJHT-1 and GAstV/XJHT-2 were isolated and the lengths of their genome sequences were determined as 7 190 bp and 7 125 bp,respectively.Whole genome homology analysis showed that the homology of the two isolates with GAstV-1 and GAstV-2 was higher than 95％,and the homology with other sources(chicken,duck,and turkey)ranged from 54.1％to 61.5％.Genetic e-volution analysis showed that the genetic distance between GAstV isolates from Henan and Anhui was relatively close,suggesting that the isolated GAstV may be related to the introduction of gos-lings or goose eggs from these two places.The findings provide a basis for further development of vaccines or control products.

Objective:To analyze the factors affecting delayed chemotherapy in children with Burkitt lymphoma (BL) and their influence on prognosis.Methods:Retrospective cohort study. Clinical data of 591 children aged ≤18 years with BL from May 2017 to December 2022 in China Net Childhood Lymphoma (CNCL) was collected. The patients were treated according to the protocol CNCL-BL-2017. According to the clinical characteristics, therapeutic regimen was divided into group A, group B and group C .Based on whether the total chemotherapy time was delayed, patients were divided into two groups: the delayed chemotherapy group and the non-delayed chemotherapy group. Based on the total delayed time of chemotherapy, patients in group C were divided into non-delayed chemotherapy group, 1-7 days delayed group and more than 7 days delayed group. Relationships between delayed chemotherapy and gender, age, tumor lysis syndrome before chemotherapy, bone marrow involvement, disease group (B/C group), serum lactate dehydrogenase (LDH) > 4 times than normal, grade Ⅲ-Ⅳ myelosuppression after chemotherapy, minimal residual disease in the interim assessment, and severe infection (including severe pneumonia, sepsis, meningitis, chickenpox, etc.) were analyzed. Logistic analysis was used to identify the relevant factors. Kaplan-Meier method was used to analyze the patients' survival information. Log-Rank was used for comparison between groups.Results:Among 591 patients, 504 were males and 87 were females, the follow-up time was 34.8 (18.6,50.1) months. The 3-year overall survival (OS) rate was (92.5±1.1)%,and the 3-year event-free survival (EFS) rate was (90.5±1.2)%. Seventy-three (12.4%) patients were in delayed chemotherapy group and 518 (87.6%) patients were in non-delayed chemotherapy group. The reasons for chemotherapy delay included 72 cases (98.6%) of severe infection, 65 cases (89.0%) of bone marrow suppression, 35 cases (47.9%) of organ dysfunction, 22 cases (30.1%) of tumor lysis syndrome,etc. There were 7 cases of chemotherapy delay in group B, which were seen in COPADM (vincristine+cyclophosphamide+prednisone+daunorubicin+methotrexate+intrathecal injection,4 cases) and CYM (methotrexate+cytarabine+intrathecal injection,3 cases) stages. There were 66 cases of chemotherapy delay in group C, which were common in COPADM (28 cases) and CYVE 1 (low dose cytarabine+high dose cytarabine+etoposide+methotrexate, 12 cases) stages. Multinomial Logistic regression analysis showed that the age over 10 years old ( OR=0.54,95% CI 0.30-0.93), tumor lysis syndrome before chemotherapy ( OR=0.48,95% CI 0.27-0.84) and grade Ⅲ-Ⅳ myelosuppression after chemotherapy ( OR=0.55,95% CI 0.33-0.91)were independent risk factors for chemotherapy delay.The 3-year OS rate and the 3-year EFS rate of children with Burkitt lymphoma in the delayed chemotherapy group were lower than those in the non-delayed chemotherapy group ((79.4±4.9)% vs. (94.2±1.1)%, (80.2±4.8)% vs. (92.0±1.2)%,both P<0.05). The 3-year OS rate of the group C with chemotherapy delay >7 days (42 cases) was lower than that of the group with chemotherapy delay of 1-7 days (22 cases) and the non-delay group (399 cases) ((76.7±6.9)% vs. (81.8±8.2)% vs. (92.7±1.3)%, P=0.002).The 3-year OS rate of the chemotherapy delay group (9 cases) in the COP (vincristine+cyclophosphamide+prednisone) phase was lower than that of the non-chemotherapy delay group (454 cases) ((66.7±15.7)% vs. (91.3±1.4)%, P=0.005). Similarly, the 3-year OS rate of the chemotherapy delay group (11 cases) in the COPADM1 phase was lower than that of the non-chemotherapy delay group (452 cases) ((63.6±14.5)% vs. (91.5±1.3)%, P=0.001). Conclusions:The delayed chemotherapy was related to the age over 10 years old, tumor lysis syndrome before chemotherapy and grade Ⅲ-Ⅳ myelosuppression after chemotherapy in pediatric BL. There is a significant relationship between delayed chemotherapy and prognosis of BL in children.

Objectives:Microvascular obstruction (MVO) is a specific cardiac magnetic resonance (CMR) imaging feature in patients with acute myocardial infarction. The purpose of this study was to elucidate the predictive value of MVO in left ventricular adverse remodeling after primary percutaneous coronary intervention (PCI) in patients with acute ST-elevation myocardial infarction (STEMI).Methods:A total of 167 patients with STEMI undergoing primary PCI in the Chinese PLA General Hospital from 2016 to 2020 were enrolled in this prospective cohort study, the average age of study patients was 57±10 years old, with 151 males (90.4%) and 16 females (9.6%). The patients were divided into the MVO group ( n=81) and non-MVO group ( n=86) according to the presence or absence of MVO on CMR imaging, respectively. The primary endpoint of the study was the occurrence of left ventricular adverse remodeling, which was defined as an increase in left ventricular end diastolic volume (LVEDV) by >20% at 6 months after primary PCI compared with the baseline. Patients who completed follow-up were diagnosed as left ventricular adverse remodeling or no left ventricular adverse remodeling according to CMR. The baseline data, perioperative data, and related data of end points were compared between the MVO group and non-MVO group. Finally, the predictive value of MVO in left ventricular adverse remodeling was calculated by receiver operating characteristic curve analysis. Results:In the baseline data, preoperative thrombolysis in myocardial infarction (TIMI) flow ( χ2=13.74, P=0.003) and postoperative TIMI flow ( χ2=14.87, P=0.001) were both obviously decreased in the MVO group. After 6 months of follow-up, the incidence of left ventricular adverse remodeling in the MVO group was significantly higher than that in the non-MVO group [37.0%(27/73) vs. 18.9%(14/74), χ2=5.96, P=0.015]. The left ventricular end systolic volume at 6 months post infarction in the MVO group was significantly larger than that in the non-MVO group [(94±32) vs. (68±20) ml, t=-5.98, P<0.001], as well as the LVEDV [(169±38) vs. (143±29) ml, t=-4.74, P<0.001]. Receiver operating characteristic curve showed that the area under the curve of MVO size for predicting left ventricular adverse remodeling was 0.637. Conclusion:The risk of left ventricular adverse remodeling is significantly increased in patients with MVO after primary PCI for acute STEMI.

【Objective】 To establish RH gene mRNA sequencing method based on nanopores sequencing and to explore the RHD and RHCE mRNA transcripts in D positive and D^el individuals. 【Methods】 From March 2021 to May 2022, 5 RhD positive samples and 5 D^el samples screened out by hospitals in Chengdu were sent to our laboratory for futher examination. The erythrocytes and buff coat were isolated, then DNA and RNA were extracted.All 10 samples were genotyped by PCR-SSP. After the mRNA was reversely transcribed into cDNA, the full-length mRNA of RHD and RHCE genes were simultaneously amplified by a pair of primers. Sanger sequencing and third-generation sequencing technology based on Nanopore were used to sequence the amplified products, and the types and expressions of different splices of RHD and RHCE gene mRNA transcripts were analyzed. 【Results】 The method established in this study can simultaneously amplify the full length transcripts of RHD and RHCE. Ten different RHD gene mRNA transcripts and nine RHCE gene mRNA transcripts were detected in 10 samples. RHD full-length transcript (RHD-201) can be detected in RhD D^el type, but the expression amount was significantly lower than that in RhD positive samples. The expression amount of transcript RHD-207 (Del789) in D^el samples was significantly higher than that in RhD positive samples. The transcript RHD-208 (Del8910+ 213) was only detected in RhD D^el type individuals, and no significant difference was found between other RHD transcripts and all RHCE transcripts in the two phenotypes. 【Conclusion】 In this study, an analytical method for sequencing full-length transcript isomers of RHD and RHCE mRNA via the third generation was successfully established, and complex alternative splicing patterns were found in RHD and RHCE genes, providing a new method for the study of alternative splicing of blood group gene variants mRNA.

BACKGROUND: Gestational diabetes mellitus (GDM) brings health issues for both mothers and offspring, and GDM prevention is as important as GDM management. It was shown that a history of GDM was significantly associated with a higher maternal risk for GDM recurrence. The incidence of GDM recurrence was unclear because of the incidence of second-child was low before 2016 in China. We aim to investigate the prevalence of GDM recurrence and its associated high-risk factors which may be useful for the prediction of GDM recurrence in China. METHODS: A retrospective study was conducted which enrolled participants who underwent regular prenatal examination and delivered twice in the same hospital of 18 research centers. All participants were enrolled from January 2018 to October 2018, where they delivered the second baby during this period. A total of 6204 women were enrolled in this study, and 1002 women with a history of GDM were analyzed further. All participants enrolled in the study had an oral glucose tolerance test (OGTT) result at 24 to 28 weeks and were diagnosed as GDM in the first pregnancy according to the OGTT value (when any one of the following values is met or exceeded to the 75-g OGTT: 0 h [fasting], ≥5.10 mmol/L; 1 h, ≥10.00 mmol/L; and 2 h, ≥8.50 mmol/L). The prevalence of GDM recurrence and development of type 2 diabetes mellitus were calculated, and its related risk factors were analyzed. RESULTS: In 6204 participants, there are 1002 women (1002/6204,16.15%) with a history of GDM and 5202 women (5202/6204, 83.85%) without a history of GDM. There are significant differences in age (32.43 ± 4.03 years vs. 33.00 ± 3.34 years vs. 32.19 ± 3.37 years, P  < 0.001), pregnancy interval (4.06 ± 1.44 years vs. 3.52 ± 1.43 years vs. 3.38 ± 1.35 years, P  = 0.004), prepregnancy body mass index (BMI) (27.40 ± 4.62 kg/m2vs. 23.50 ± 3.52 kg/m2vs. 22.55 ± 3.47 kg/m2, P < 0.001), history of delivered macrosomia (22.7% vs. 11.0% vs. 6.2%, P < 0.001) among the development of diabetes mellitus (DM), recurrence of GDM, and normal women. Moreover, it seems so important in the degree of abnormal glucose metabolism in the first pregnancy to the recurrence of GDM and the development of DM. There are significant differences in OGTT levels of the first pregnancy such as area under the curve of OGTT value (18.31 ± 1.90 mmol/L vs. 16.27 ± 1.93 mmol/L vs. 15.55 ± 1.92 mmol/L, P < 0.001), OGTT fasting value (5.43 ± 0.48 mmol/L vs. 5.16 ± 0.49 mmol/L vs. 5.02 ± 0.47 mmol/L, P < 0.001), OGTT 1-hour value (10.93 ± 1.34 mmol/L vs. 9.69 ± 1.53 mmol/L vs. 9.15 ± 1.58 mmol/L, P < 0.001), OGTT 2-hour value (9.30 ± 1.66 mmol/L vs. 8.01 ± 1.32 mmol/L vs. 7.79 ± 1.38 mmol/L, P < 0.001), incidence of impaired fasting glucose (IFG) (fasting plasma glucose ≥5.6 mmol/L) (31.3% vs. 14.6% vs. 8.8%, P < 0.001), and incidence of two or more abnormal OGTT values (68.8% vs. 39.7% vs. 23.9%, P < 0.001) among the three groups. Using multivariate analysis, the factors, such as age (1.07 [1.02-1.12], P = 0.006), prepregnancy BMI (1.07 [1.02, 1.12], P  = 0.003), and area under the curve of OGTT in the first pregnancy (1.14 [1.02, 1.26], P  = 0.02), have an effect on maternal GDM recurrence; the factors, such as age (1.28 [1.01-1.61], P  = 0.04), pre-pregnancy BMI (1.26 [1.04, 1.53], P = 0.02), and area under the curve of OGTT in the first pregnancy (1.65 [1.04, 2.62], P = 0.03), have an effect on maternal DM developed further. CONCLUSIONS The history of GDM was significantly associated with a higher maternal risk for GDM recurrence during follow-up after the first pregnancy. The associated risk factors for GDM recurrence or development of DM include age, high pre-pregnancy BMI, history of delivered macrosomia, the OGTT level in the first pregnancy, such as the high area under the curve of OGTT, IFG, and two or more abnormal OGTT values. To prevent GDM recurrence, women with a history of GDM should do the preconception counseling before preparing next pregnancy.
Adult ; Blood Glucose/metabolism* ; China/epidemiology* ; Diabetes Mellitus, Type 2/epidemiology* ; Diabetes, Gestational ; Female ; Fetal Macrosomia ; Glucose Intolerance ; Humans ; Male ; Pregnancy ; Retrospective Studies