Irradiated blood emerged as a preventive measure for transfusion-associated graft-versus-host disease (TA-GVHD), ensuring the safety of blood transfusion for patients. In recent years, with the continuous development of transfusion medicine, the utilization rate of irradiated blood has been increasing, and there has been a growing number of studies on the effects of irradiation on blood components. Meanwhile, besides preventing TA-GVHD, irradiated blood holds promising applications in addressing other clinical transfusion issues. This article reviews the clinical applications and research of irradiated blood in transfusion medicine, aiming to provide a reference for achieving safe blood transfusion.

OBJECTIVES: We propose a sparse-view cone-beam CT reconstruction algorithm based on bidirectional flow field guided projection completion (BBC-Recon) to solve the ill-posed inverse problem in sparse-view cone-beam CT imaging. METHODS: The BBC-Recon method consists of two main modules: the projection completion module and the image restoration module. Based on flow field estimation, the projection completion module, through the designed bidirectional and multi-scale correlators, fully calculates the correlation information and redundant information among projections to precisely guide the generation of bidirectional flow fields and missing frames, thus achieving high-precision completion of missing projections and obtaining pseudo complete projections. The image restoration module reconstructs the obtained pseudo complete projections and then refines the image to remove the residual artifacts and further improve the image quality. RESULTS: The experimental results on the public datasets of Mayo Clinic and Guilin Medical University showed that in the case of a 4-fold sparse angle, compared with the suboptimal method, the BBC-Recon method increased the PSNR index by 1.80% and the SSIM index by 0.29%, and reduced the RMSE index by 4.12%; In the case of an 8-fold sparse angle, the BBC-Recon method increased the PSNR index by 1.43% and the SSIM index by 1.49%, and reduced the RMSE index by 0.77%. CONCLUSIONS The BBC-Recon algorithm fully exploits the correlation information between projections to allow effective removal of streak artifacts while preserving image structure information, and demonstrates significant advantages in maintaining inter-slice consistency.
Algorithms ; Cone-Beam Computed Tomography/methods* ; Image Processing, Computer-Assisted/methods* ; Humans

Therapeutic resistance in cancer is responsible for numerous cancer deaths in clinical practice. While target mutations are well recognized as the basis of genetic resistance to targeted therapy, nontarget mutation resistance (or nongenetic resistance) remains poorly characterized. Despite its complex and unintegrated mechanisms in the literature, nongenetic resistance is considered from our perspective to be a collective response of innate or acquired resistant subpopulations in heterogeneous tumors to therapy. These subpopulations, e.g., cancer stem-like cells, cancer cells with epithelial-to-mesenchymal transition, and drug-tolerant persisters, are protected by their resistance traits at cellular and molecular levels. This review summarizes recent advances in the research on resistant populations and their resistance traits. NOTCH signaling, as a central regulator of nongenetic resistance, is discussed with a special focus on its canonical maintenance of resistant cancer cells and noncanonical regulation of their resistance traits. This novel view of canonical and noncanonical NOTCH signaling pathways is translated into our proposal of reshaping therapeutic strategies targeting NOTCH signaling in resistant cancer cells. We hope that this review will lead researchers to study the canonical and noncanonical arms of NOTCH signaling as an integrated resistant mechanism, thus promoting the development of innovative therapeutic strategies.
Neoplasms/metabolism* ; Receptors, Notch/metabolism* ; Disease Resistance/physiology* ; Signal Transduction/physiology* ; Humans ; Drug Resistance, Neoplasm/physiology* ; Molecular Targeted Therapy/methods*

The gut microbiota is closely related to human health, and various gut microbiota health indices have been developed to assist in evaluating the health of the gut microbiota and even the overall health of the human body. Diets are one of the main factors that regulate the gut microbiota, while there is still no good method for evaluating the regulatory effects of dietary factors. To assess the regulatory effects of dietary factors on the gut microbiota of overweight individuals, we conducted an in vitro fermentation experiment based on 17 dietary factors, and developed an evaluation method for the regulatory effects of dietary factors based on the health index with principal component analysis (hiPCA). The results showed that most dietary factors had positive regulatory effects on the gut microbiota of overweight individuals. Galactooligosaccharides (GOS) and puerarin were the most significant dietary factors in regulating the gut microbiota of overweight individuals. The analysis of the contribution of species to the hiPCA indicated that GOS and puerarin might inhibit the activities of bacteria associated with overweight by regulating Eubacterium dolichum, Lactobacillus salivarius, Clostridium clostridioforme, Clostridium citroniae, and Lachnospiraceae bacterium 9_1_43BFAA. In addition, GOS may further enhance the inhibition of these activities by regulating Lachnospiraceae bacterium 6_1_63FAA, thereby reducing the gut health risks in overweight individuals. In summary, this study evaluated the health effects of dietary factors based on the hiPCA and specifically analyzed the role of different dietary factors in regulating the gut microbiota of overweight individuals. This provides new ideas and methods for improving gut microbiota health and has potential applications in the field of precision nutrition.
Humans ; Gastrointestinal Microbiome/physiology* ; Isoflavones/pharmacology* ; Overweight/microbiology* ; Diet ; Fermentation ; Oligosaccharides/pharmacology* ; Principal Component Analysis

Background::Long non-coding RNAs (lncRNAs) plays an important role in the progression of gastric cancer (GC). Their involvement ranges from genetic regulation to cancer progression. However, the mechanistic roles of RP11-789C1.1 in GC are not fully understood.Methods::We identified the expression of lncRNA RP11-789C1.1 in GC tissues and cell lines by real-time fluorescent quantitative polymerase chain reaction. A series of functional experiments revealed the effect of RP11-789C1.1 on the proliferation of GC cells. In vivo experiments verified the effect of RP11-789C1.1 on the biological behavior of a GC cell line. RNA pull-down unveiled RP11-789C1.1 interacting proteins. Western blot analysis indicated the downstream pathway changes of RP11-789C1.1, and an oxaliplatin dosing experiment disclosed the influence of RP11-789C1.1 on the drug sensitivity of oxaliplatin. Results::Our results demonstrated that RP11-789C1.1 inhibited the proliferation of GC cells and promoted the apoptosis of GC cells. Mechanistically, RP11-789C1.1 inhibited checkpoint kinase 1 (CHK1) phosphorylation by binding ataxiatelangiectasia mutated and Rad3 related (ATR), a serine/threonine-specific protein kinase, promoted GC apoptosis, and mediated oxaliplatin sensitivity.Conclusion::In general, we discovered a tumor suppressor molecule RP11-789C1.1 and confirmed its mechanism of action, providing a theoretical basis for targeted GC therapy.

Objective To assess the value of magnetic resonance imaging compilation(MAGiC)sequence in predicting lympho-vascular space invasion(LVSI)in early cervical cancer.Methods The data of 48 patients with cervical cancer confirmed by pathology were collected retrospectively,and classified into LVSI-positive group(n=29)and LVSI-negative group(n=19)according to postop-erative pathological results.MAGiC sequence images of patients were obtained before injecting contrast agents,then the region of interest(ROI)was delineated along the largest dimension edge of the lesion,and T1,T2 and proton density(PD)values were automatically generated by the software.Predictors were screened by univariate analysis and receiver operating characteristic(ROC)curves were drawn to assess their diagnostic efficacy for predicting LVSI in cervical cancer.Results Significant differences were found in T1 and PD values between LVSI-positive and LVSI-negative groups(P=0.003,P=0.017).There were no significant differences in T2 values between the two groups(P=0.414).The area under the curve(AUC)for T1 and PD values to predict LVSI status were 0.73 and 0.721,respectively.Conclusion LVSI-positive group of cervical cancer has lower T1 and PD values than LVSI-negative group based on MAGiC sequence.The MAGiC sequence has a certain application value for predicting LVSI status in early cervical cancer.

Objective To prepare recombinant human papillomavirus 58 L1 protein virus-like particles(HPV58 LI VLPs)in Pichia pastoris and immunize mice with the purified product to evaluate the immunogenicity of HPV58 L1 VLPs.Methods The HPV58 L1 multi-copy expression plasmid was constructed and transformed into Pichia pastoris KM71.The highly expressed Pichia pastoris engineering strain was screened and cultured in 5 L fermenter.The expressed HPV58 L1 VLPs were isolated and purified,which were then used to immunize 80 female BALB/c mice at different doses by intraperitoneal injection.After four weeks,the immune effect was evaluated by median effective dose(ED_(50)).Results Restriction analysis results showed that HPV58 L1 expression vectors were constructed correctly.Western blot,amino acid sequencing and transmission electron microscopy(TEM) results showed that HPV58 L1 protein was correctly expressed in Pichia pastoris and could self-assemble into VLPs at a diameter of about 50 nm.After purification by ion exchange and size exclusion chromatography,the HPV58 L1 VLPs reached a purity above 95%,and the ED_(50) in mouse model was 0.009 μg.Conclusion Recombinant HPV58 L1 VLPs with good immunogenicity were successfully prepared by using Pichia pastoris.

The Xuming Decoction, which is recorded in the "Gu Jin Lu Yan" section of Zhang Zhongjing's Synopsis of the Golden Chamber, is a traditional Chinese medicine formula. Recent literature review and summary of the clinical application research progress have found that this formula is primarily used to treat diseases such as acute cerebral infarction, facial neuritis, multiple sclerosis, Guillain-Barre syndrome, and pulmonary distension. However, different medical practitioners and scholars hold diverse understandings of Xuming Decoction.

ObjectiveTo design a prospective nested case-control study based on a city-wide birth cohort of Shanghai， so as to understand their health status and explore the influencing factors of birth defects. MethodsBased on the birth registration covering the entire city of Shanghai， the nested case-control study of children with severe birth defects was designed. Children born with severe birth defects were selected as the case group， and healthy children were matched as the control group. Basic information， health status， maternal pregnancy history， and survival outcome of children both in the case group and the control group were collected through medical history review and home visits. The logistic regression model was used for multivariate analysis. ResultsA total of 18 875 infants born between January 1， 2011， and December 31， 2021， were included， among which 11 500 （60.93%） were children with severe birth defects and 7 375 （39.07%） were healthy children. The logistic regression model analysis showed that being male （OR=1.20， 95%CI：1.13‒1.29）， non-Shanghai residency （OR=1.16， 95%CI： 1.06‒1.25）， multiple births （OR=8.41， 95%CI：6.25‒11.30）， artificial insemination （OR=2.31， 95%CI：1.34‒3.99）， in vitro fertilization （IVF） （OR=1.85， 95%CI：1.44‒2.38）， maternal exposure to radiation （OR=1.83， 95%CI：1.07‒3.14）， maternal illness during pregnancy （OR=1.61， 95%CI：1.49‒1.74）， experiencing a traumatic event during pregnancy （OR=2.34， 95%CI：1.88‒2.92）， paternal chemical exposure （OR=1.88， 95%CI：1.32‒2.69）， paternal radiation exposure （OR=1.65， 95%CI： 1.18‒2.33）， family history of birth defects （OR=8.18， 95%CI： 3.96‒16.89）， being overweight before pregnancy （OR=1.16， 95%CI： 1.07‒1.27）， being obese before pregnancy （OR=1.15， 95%CI：1.03‒1.30）， and being excessively obese before pregnancy （OR=1.52， 95%CI：1.26‒1.83） were risk factors for the occurrence of birth defects. Analysis by type of birth defect found that prematurity was a risk factor for cardiac malformations and cheilopalatoschisis （OR=27.87， 95%CI： 20.84‒37.27）， especially ranking first in cardiac malformations. ConclusionAfter controlling for influencing factors， maternal overweight， obesity， and excessive obesity before pregnancy， artificial insemination， and IVF are independent risk factors for the occurrence of birth defects. Choosing a healthy lifestyle， improving physical and mental health during pregnancy， and controlling BMI during pregnancy are beneficial in reducing the risk of birth defects.

Objective To observe the value of MRI for differential diagnosis of ovarian granulosa cell tumor(OGCT)and ovarian thecoma-fibroma(OTF).Methods Data of 37 females with OGCT(OGCT group)and 74 with OTF(OTF group)were retrospectively analyzed.MRI parameters were compared between groups.Multiple logistic regression analysis was performed,and the efficacy of each parameter alone and their combination for distinguishing OGCT and OTF were observed.Results Significant differences of cystic-solid classification,degree of cystic changes,the maximum diameter of cyst area of lesions,T2WI signal,enhancement degree and apparent diffusion coefficient(ADC)of the solid part of lesions,presence of honeycomb sign/cheese sign,presence of tumor blood vessels and bleeding were found between groups(all P＜0.05).Degree of cystic changes,ADC and presence of honeycomb sign/cheese sign were impact factors of MRI for distinguishing OGCT and OTF.The area under the curve(AUC)of the above three for distinguishing OGCT and OTF was 0.834,0.868 and 0.744,respectively,and of the combination was 0.934,greater than any alone(all P＜0.05).Conclusion MRI features such as degree of cystic changes,ADC and presence of honeycomb sign/cheese sign were helpful for distinguishing OGCT and OTF.