[Objective] To analyze the loss rate of platelet donors and evaluate the strategies for establishing a platelet donor bank. [Methods] A total of 1 443 donors who joined the HLA and HPA gene donor bank for platelets in Henan Province from 2018 to 2020 were included in this study. Data on the total number of apheresis platelet donations, annual donation frequency, age at enrollment, donation habits (including the number of platelets donated per session and whether they had previously donated whole blood), and enrollment location were collected from the platelet donor information management system. Donor loss was determined based on the date of their last donation. The loss rates of different groups under various conditions were compared to assess the enrollment strategies. [Results] By the time the platelet bank was officially operational in 2022, 421 donors had been lost, resulting in an loss rate of 29% (421/1 443). By the end of 2023, the overall cumulative loss rate reached 52% (746/1 443). The loss rate was lower than the overall level in groups meeting any of the following conditions: total apheresis platelet donations exceeding 50, annual donation frequency of 10 or more, age at enrollment of 40 years or older, donation of more than a single therapeutic dose per session, or a history of whole blood donation two or more times. Additionally, loss rates varied across different enrollment locations, with higher enrollment numbers generally associated with higher loss rates. [Conclusion] Through a comprehensive analysis of donor loss, our center has adjusted its strategies for establishing the donor pool. These findings also provide valuable insights for other blood collection and supply institutions in building platelet donor banks.

This study aims to develop a fully automated method for tooth segmentation and root canal measurement based on cone beam computed tomography (CBCT) images, providing objective, efficient, and accurate measurement results to guide and assist clinicians in root canal diagnosis grading, instrument selection, and preoperative planning. The method utilized Attention U-Net to recognize tooth descriptors, cropped regions of interest (ROIs) based on the center of mass of these descriptors, and applied an integrated deep learning method for segmentation. The segmentation results were mapped back to the original coordinates and position-corrected, followed by automatic measurement and visualization of root canal lengths and angles. The results indicated that the Dice coefficient for segmentation was 96.42%, the Jaccard coefficient was 93.11%, the Hausdorff Distance was 2.07 mm, and the average surface distance was 0.23 mm, all of which surpassed existing methods. The relative error of the root canal working length measurement was 3.15% (< 5%), the curvature angle error was 2.85 °, and the correct classification rate of the treatment difficulty coefficient was 90.48%. The proposed methods all achieved favorable results, which can provide an important reference for clinical application.
Cone-Beam Computed Tomography/methods* ; Deep Learning ; Humans ; Dental Pulp Cavity/diagnostic imaging* ; Image Processing, Computer-Assisted/methods*

The catalytic activity of 3-mercaptopyruvate (3MP) sulfurtransferase (MPST) converts 3MP to hydrogen sulfide (H₂S). However, the regulatory mechanisms governing MPST and its impact on the brain remain largely unexplored. Our study reveals the neuroprotective role of endothelial MPST-generated H₂S, regulated by protein phosphatase 2A (PP2A). Bioinformatics analysis and RNA sequencing demonstrated that endothelial PP2A is associated with neurodegenerative disease pathways. Cerebral ischemic mice exhibited significant inactivation of endothelial PP2A, evidenced by the reduction of PP2Acα in the brain endothelium. Mice with endothelium-specific null PP2A (PP2A^EC-cKO) exhibited neuronal loss, cognitive dysfunction, and long-term potentiation deficits. Postnatal inactivation of endothelial PP2A also contributes to cognitive dysfunction and neuronal loss. However, regaining endothelial PP2A activity by overexpressing Ppp2ca rescued neuronal dysfunction. Mechanistically, PP2A deficiency is intricately linked to the MPST-H₂S signaling pathway. A robust reduction in endothelial MPST-dependent H₂S production followed PP2A deficiency. Exogenous H₂S treatment and AAV-mediated overexpression of MPST in brain endothelial cells significantly mitigated neuronal dysfunction in PP2A^EC-cKO mice. Furthermore, PP2A deficiency promotes an increase in calcium influx and calpain2 phosphorylation, subsequently leading to MPST degradation. The PP2A activator (FTY720) and MPST activator (3MP sodium) both remarkably restored endothelial MPST-dependent H₂S production, subsequently rescuing ischemia-induced neurological deficits. In conclusion, our study demonstrates that endothelial PP2A deficiency leads to MPST degradation by activating calpain2, thus damaging neuronal function.

Probiotics have shown excellent application prospects in preventing and treating many diseases. However, their sensitivity to the harsh environment in vivo always leads to a massive loss of viability and insufficient therapeutic effect. Fortunately, modified probiotics have emerged and provide multiple possibilities for their use in various diseases. Modification not only endows probiotics with extra capacity to resist severe environments but also gives them exogenous characteristics, such as prolonged retention time and improved therapeutic effects. Modified probiotics could combine with other therapies, which has opened up new avenues to enhance the efficacy of probiotic-based therapy. In this review, we have summarized the current physicochemical and biological modification strategies of probiotics. In addition, the progress of research on probiotic-based combination therapy has also been extensively reviewed, which contributes to the enhanced delivery of probiotics or other active constituents and provides new ideas for disease treatment, bioimaging, and diagnosis.

Objective To observe the value of contrast-enhanced CT radiomics combined with clinical and hematology indicators for predicting lymph node(LN)metastasis(LNM)of esophageal squamous cell carcinoma(ESCC).Methods Totally 218 ESCC patients were retrospectively enrolled.Stage pN1 and pN2 were clustering as LNM(n=90),while stage pN0 were taken as non-LNM(n=128).The patients were divided into training set(n=174)and test set(n=44)at the ratio of 8∶2.In training set,clinical and LN imaging features which could be used to independently judge LNM were screened and a clinical-imaging model was constructed.The hematological indicators that might be associated with ESCC LNM were screened,and a hematological model was constructed.Radiomics features in LN ROI and ESCC volume of interest(VOI)were extracted based on venous-phase contrast-enhanced CT images,and those might be associated with LNM were screened,and a radiomics model was constructed.Finally a combined model was constructed based on all the above features.The efficacy of each model for diagnosing LNM was evaluated with the area under the curve(AUC)of receiver operating characteristic curves,and the clinical net benefit was evaluated using decision curve analysis(DCA).Results Body mass index(BMI)and internal necrosis of target LN were both independent judging factors for ESCC LNM(both P＜0.05),and AUC of clinical-imaging model for diagnosing LNM in training and test sets was 0.747 and 0.687,respectively.Seven hematological indicators were included in hematological model,and AUC in training and test sets was 0.623 and 0.583,respectively.Ten LN radiomics features and 15 ESCC radiomics features were included in radiomics model,and AUC in training and test sets was 0.769 and 0.745,respectively.AUC of the combined model for diagnosing LNM in training and test sets was 0.822 and 0.739,respectively,better than other models in training set(all P＜0.05),but no significantly different in test set(all P＞0.05).DCA showed that combined model had higher net gain than the other models in 0.55-0.80 threshold probability interval.Conclusion Combined model based on venous-phase contrast-enhanced CT radiomics and clinical and hematology indicators could relatively effectively evaluate ESCC LNM,which might bring some promotions in clinical benefit.

Objective:To investigate the characteristics and distribution of plaque of patients with mild middle cerebral artery(MCA)stenosis by using three dimensional(3D)high-resolution magnetic resonance imaging(3D HR-MRI),and the correlation between that and the occurrence of ischemic stroke.Methods:The clinical data of 64 patients with mild MCA stenosis who admitted to Beijing Huairou hospital from March 2020 to March 2022 were retrospectively analyzed.They were divided into symptomatic group(n=30)and asymptomatic group(n=34)according to whether occurred transient ischemic cerebral attack or ischemic cerebral stroke.The degree and distribution of plaque enhancement between the two groups were assessed and analyzed,and the correlation of plaque features in HR-MRI and ischemic stroke was analyzed.Results:There were a total of 71 plaques in 64 patients,including 30 responsible plaques and 41 non-responsible plaques.The enhancement degree of responsible plaques was significantly stronger than that of non-responsible plaques,and the difference was statistically significant(Z=5.645,P<0.05).Compared with non-responsible plaques,the responsible plaques more concentrated at the dorsal and upper walls of MCA,and the probability of occurring positive remodeling of responsible plaques was greater than that of non-responsible plaques,with statistical significance(x2=7.658,P<0.05).Conclusion:In patients with mild MCA stenosis,the degree enhancement and distribution location of plaque,and positively remodeling index of vessel are closely related to the occurrence of ischemic cerebral stroke.

Objective:To investigate the drug resistance status and genomic characterization of Proteus mirabilis (PM) isolated from outpatient cases with diarrhea in Tai′an City and Laizhou City, Shandong Province. Methods:A total of 510 fecal samples were collected from 510 patients with acute diarrhea admitted to 43 sentinel hospitals in Tai′an City and Laizhou City, Shandong Province, between January 2021 and December 2022. The samples were cultured and isolated to identify Proteus spp. by direct inoculation, the drug susceptibility testing was performed by microbroth dilution method, and resistance genes and virulence genes were obtained by whole genome sequencing and bioinformatic analysis, thereby revealing the genetic environment surrounding the blaOXA-1 and blaCTX-M-65 genes. Single nucleotide polymorphism (SNP) analysis and core genome multilocus sequence typing (cgMLST) were conducted on the current strains and 100 PM isolates downloaded from the National Center for Biotechnology Information (NCBI) database via customizable methods utilizing RidomSeqSphere+ software, with the objective of exploring the phylogenetic relationships among the strains. Results:A total of 35 strains of Proteus were isolated from 510 fecal samples, including 31 strains of PM with a detection rate of 6.08% (31/510) and four strains of Proteus vulgaris.The multidrug resistance rate of PM was 100.00% (31/31).The 35 isolates carried a total of 43 resistance genotypes.Thirteen strains of PM carried blaOXA-1, six strains carried both blaOXA-1 and blaCTX-M-65, and 15 PM strains carried at least 15 antibiotic resistance genes (ARGs). The virulence genes included ureA, mrpA, ZapA, hpmA and so on. blaOXA-1 and blaCTX-M-65 genes were surrounded by mobile elements such as Tn3, ISL3 and IS6. cgMLST showed consistency with the SNP clustering results. Isolate 2022LZ41 from Laizhou City clustered with isolates 2022TA018, 2022TA017 and 2022TA019 from Tai′an City, with the number of allelic differences ranging from zero to two, and the Laizhou City isolate 2022LZ40 was highly genetically related to strain CRK0056 (human, USA, 2015). Conclusions:PM isolated from patients with diarrhea is multidrug-resistant, carrying many resistance and virulence genes.The presence of mobile genetic elements can lead to horizontal transfer of resistance genes.

Objective Explore the comprehensive emotion adjustment pattern that combines non-contact physiological and psychological detection methods in fasting and low metabolism scenarios.This study aims to verify the accuracy of non-contact physiological and psychological detection algorithms and evaluate the effectiveness of multimodal emotion adjustment schemes for addressing negative emotional states such as depression and anxiety.Methods Deploy non-contact physiological and psychological detection algorithms and emotion adjustment plans to build a multimodal emotion adjustment system.Collect physiological and psychological data from volunteers participating in the 15-days complete fasting human low metabolism experiment of"Green Star Travel Ⅷ".Utilize finger clip oximeters and scales to verify the accuracy of existing non-contact physiological and psychological methods within the system.Design an emotion adjustment experiment featuring four groups:sound adjustment,acupoints adjustment,magnetism adjustment,and combination adjustment.Compare the volunteers'scale scores before and after the adjustments to verify the effectiveness of the system's emotion adjustment capabilities.Results The experimental results demonstrate that the average difference in the Bland-Altman plot for the non-contact heart rate detection model is ﹣0.497 bpm,with 95.3%of the error values falling within the 95%consistency interval.The non-contact psychological detection model achieved an accuracy rate of over 80%in identifying stress,anxiety,and depression,and an accuracy rate of over 70%in identifying fatigue and anger.Following emotion adjustment,the stress levels of the subjects significantly improved(P?

Objective In the future,during the landing and exploration of near-Earth planets(e.g.,Mars,Jupiter,etc.),astronauts may take the initiative to start fasting to reduce the amount of load;and it is even more likely that astronauts will take the initiative to fast in the process of manned deep-space exploration in the future,or they may enter a dormant low-metabolism state to save the amount of load to enable the spaceship to fly for a longer period,and to locate in a deeper and farther position.The ability of an individual to maintain cognitive ability and respond appropriately over a period in a long-term fasting state is important for survival.Therefore,the present study focused on investigating the effects of 15 days of complete fasting on dual cognitive control function and its neural mechanisms.Methods Twenty-four healthy volunteers were recruited to participate in the fasting experiment.Behavioral and electroencephalographic data from the AX-CPT Task were collected with event-related potentials(ERP)to assess the effects of 15 days of complete fasting on dual cognitive control in 16 volunteers.Results(1)Behavioral outcomes had significant main effects on response time[F(1,15)=99.41,P?

As China's manned space missions gradually develop towards long-term residence and deep space exploration,astronauts will face increasingly severe psychological challenges.As a psychological adjustment method involving multiple disciplines such as music,psychology,and medicine,music therapy has the advantages of being convenient to implement,cost-effective,and highly personalized.This paper integrates the concept of music therapy and explores the research progress of music therapy in regulating psychological states in aspects such as physiology,emotional regulation,cognitive ability,and interpersonal relationships.Combined with the mechanism of action of music therapy and the practical situation in the field of manned spaceflight,it aims at the future development trends and problems to be solved,to construct a music therapy system for astronauts during on-orbit flight and ground daily training.This will help astronauts achieve healthy physical and mental development and promote the completion of missions.