Objective To investigate the sputum metabolic profiles of patients with occupational coal workers' pneumoconiosis (CWP) by an untargeted metabolomics method, and to identify relevant differential metabolic pathways and potential biomarkers. Methods A total of 12 male patients with stage Ⅰ CWP were selected as the CWP group, and 16 healthy male individuals were selected as the control group, using a judgmental sampling method. Sputum metabolites of individuals in both groups were detected to perform non-targeted metabolomic analysis using the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differential metabolites (DMs) and their pathways were screened using principal component analysis, partial least squares discriminant analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Potential biomarkers were analyzed and identified via the receiver operating characteristic curve (ROC). Results There were apparent metabolic alterations observed in sputum of CWP patients compared with healthy controls. In the positive ion mode, a total of 42 DMs were identified in sputum from CWP patients, including 19 downregulated and 23 upregulated metabolites. In the negative ion mode, a total of 25 DMs were identified in sputum from CWP patients, including 16 downregulated and 9 upregulated metabolites. KEGG enrichment analysis of sputum from CWP patients showed that seven DMs pathways were enriched in ABC transporters, histidine metabolism, phenylalanine metabolism, arachidonic acid metabolism, linoleic acid metabolism, purine metabolism, and oxidative phosphorylation, involving 26 DMs. ROC analysis indicated that 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate of these 26 DMs may serve as potential biomarkers for CWP. Conclusion Sputum metabolomic profiles were altered in CWP patients compared with healthy controls. The potential biomarkers of CWP prevention and treatment are 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate.

This paper summarizes clinical experience in treating depression with a combined approach of acupuncture and herbal medicine under the guiding principle of deficiency and excess. Given the complex pathogenesis of depression， it is proposed that syndrome differentiation based on deficiency and excess should serve as the overarching principle. Acupuncture is prioritized， supplemented by Chinese herbal medicine. Acupuncture is based on the spirit-regulating protocol； for excess syndromes， it is combined with the calming and restoring protocol， while for deficiency syndromes， it is combined with the five zang organs tonification protocol. In cases of mixed deficiency and excess， the two protocols are alternated， and adjustments are made dynamically throughout the treatment based on syndrome evolution. Herbal prescriptions are also guided by the differentiation of deficiency and excess. For excess patterns， dispersion and clearance should be emphasized， focusing on soothing the liver， clearing heat， relieving irritability， regulating qi， transforming phlegm， and calming the mind； for deficiency patterns， tonification is emphasized， aiming to strengthen the spleen， nourish the blood， calm the spirit， tonify qi， and consolidate the root.

Objective:To compare the influence of definition methods of different isocenter on postoperative volumetric modulated arc therapy (VMAT) plans for patients with high-grade glioma (HGG),and to explore the feasibility of determining the treatment isocenter at location stage of computed tomography (CT) simulation system (CT-Sim). Methods:A total of 30 HGG patients who received radiotherapy after surgery in Peking University International Hospital from September 1,2021 to December 31,2022 were selected. 4 kinds of methods,which included center of mass (CT-COM) of target region of tumor bed was delineated by CT-Sim location stage,geometric center of target region of treatment plan system (TPS-Geo),whole brain geometric center of treatment plan system (TPS-Head) and center of mass of target region of TPS (TPS-COM),were respectively adopted to definite treatment isocenter for each patient,and they were respectively set as CT-COM group,TPS-Geo group,TPS-Head group and TPS-COM group to design 4 groups of VMAT treatment. The parameters included dose,conformity index (CI),uniformity index (HI) and machine unite (MU) among 4 groups of target region and organ at risk (OAR) were compared. Results:The doses of target region and OAR of four groups were similar,and all of them can meet the requirements of clinical dosimetry and clinical OAR dose limitation,without statistically significant differences (P>0.05). The covered volumes that brain tissues received 10,20,30,40 and 50 Gy doses in CT-COM group,TPS-Geo group and TPS-COM group closed to the maximum dose,the maximum dose of 2％ volume and mean dose (Dmax,D2％,Dmean) of brainstem,bilateral lens,optic chiasm,bilateral optic nerve and pituitary gland. The V10,V20,V30 of brain tissue,and Dmax,D2％,and Dmean of brainstem in TPS-Head group were slightly higher than those in other three groups,and the Dmean of lens,and Dmax,D2％ and Dmean of optic nerve at health side of TPS-Head group were slightly lower than those of other three groups,without statistically significant differences (P>0.05). Conclusion:The four VMAT plans of defining the treatment isocenter can meet the clinical dosimetric requirements,and can determine the isocenter at CT-Sim location stage,which can effectively avoid the occurrence of errors in the reduction of radiotherapy,and increase precision of delivery of radiotherapy dose,and enhance effective utilization rate of equipment.

Objective:To compare the influence of definition methods of different isocenter on postoperative volumetric modulated arc therapy (VMAT) plans for patients with high-grade glioma (HGG),and to explore the feasibility of determining the treatment isocenter at location stage of computed tomography (CT) simulation system (CT-Sim). Methods:A total of 30 HGG patients who received radiotherapy after surgery in Peking University International Hospital from September 1,2021 to December 31,2022 were selected. 4 kinds of methods,which included center of mass (CT-COM) of target region of tumor bed was delineated by CT-Sim location stage,geometric center of target region of treatment plan system (TPS-Geo),whole brain geometric center of treatment plan system (TPS-Head) and center of mass of target region of TPS (TPS-COM),were respectively adopted to definite treatment isocenter for each patient,and they were respectively set as CT-COM group,TPS-Geo group,TPS-Head group and TPS-COM group to design 4 groups of VMAT treatment. The parameters included dose,conformity index (CI),uniformity index (HI) and machine unite (MU) among 4 groups of target region and organ at risk (OAR) were compared. Results:The doses of target region and OAR of four groups were similar,and all of them can meet the requirements of clinical dosimetry and clinical OAR dose limitation,without statistically significant differences (P>0.05). The covered volumes that brain tissues received 10,20,30,40 and 50 Gy doses in CT-COM group,TPS-Geo group and TPS-COM group closed to the maximum dose,the maximum dose of 2％ volume and mean dose (Dmax,D2％,Dmean) of brainstem,bilateral lens,optic chiasm,bilateral optic nerve and pituitary gland. The V10,V20,V30 of brain tissue,and Dmax,D2％,and Dmean of brainstem in TPS-Head group were slightly higher than those in other three groups,and the Dmean of lens,and Dmax,D2％ and Dmean of optic nerve at health side of TPS-Head group were slightly lower than those of other three groups,without statistically significant differences (P>0.05). Conclusion:The four VMAT plans of defining the treatment isocenter can meet the clinical dosimetric requirements,and can determine the isocenter at CT-Sim location stage,which can effectively avoid the occurrence of errors in the reduction of radiotherapy,and increase precision of delivery of radiotherapy dose,and enhance effective utilization rate of equipment.

Objective:To compare the effects of glenosphere offset positions on the impingement-free range of motion (ROM) in reverse total shoulder arthroplasty (RTSA).Methods:Shoulder joint models were reconstructed using shoulder CT scans of 6 patients with primary osteoarthritis. RTSA was performed virtually according to standard surgical procedures, and shoulder movements were simulated. Reverse shoulder models were constructed with 2 lateral offsets (0 and 4 mm) and 6 positional offsets (center, inferior, posterior, anterior, anterior-inferior, and posterior-inferior). The impingement-free ROM and impingement sites for abduction-adduction, flexion-extension, total rotation (sum of internal and external rotation), and total ROM (sum of ROM in all movement modes) were evaluated.Results:All the 12 combinations of different glenosphere offsets achieved 50% of the original shoulder ROM in all movements. In the abduction-adduction motion with 0 and 4 mm lateral offsets, the anterior-inferior offset provided the largest ROM (94.4°±8.7° and 105.3°±6.9°, respectively), but there was no significant difference between the positions ( P>0.05). In the flexion-extension motion with 0 and 4 mm lateral offsets, the posterior-inferior offset showed the largest ROM (194.1°±6.9° and 196.9°±9.7°, respectively), but there was no significant difference between the positions ( P>0.05). In the total rotation motion with 0 and 4 mm lateral offsets, the anterior-inferior offset had the largest ROM (141.5°±5.9° and 160.6°±8.5°, respectively), showing significant advantages over the center, anterior, and posterior offsets ( P<0.05), but insignificant advantages over the inferior and posterior-inferior offsets ( P>0.05). In total ROM, the anterior-inferior offset provided the largest ROM. When the lateral offset was 0 mm, the anterior-inferior offset provided a ROM of 421.8°±16.4°, showing significant advantages over the center and posterior offsets ( P<0.05). Compared with the lateral glenosphere offset of 0 mm, the lateral glenosphere offset of 4 mm significantly improved total shoulder ROM (122.8°±10.6° versus 145.8°±4.8°) and total ROM (390.9°±11.6° versus 428.4°±19.8°) ( P<0.05). Conclusions:The anterior-inferior, inferior, and posterior-inferior glenosphere offsets can improve ROM in all movement patterns. The position and lateral offset of the glenosphere significantly affect the total rotation and total ROM of the shoulder joint. Specifically, the anterior-inferior and inferior offsets show significant advantages over the center position in total rotation and total ROM of the shoulder joint.

Children and adults differ significantly in physiology,biochemistry and immune function,which leads to sig-nificant differences in blood transfusion strategies between children and adults.To guide the clinical transfusion practice of pediatric patients and improve the prognosis of children,the National Health Commission organized the formulation and re-lease of the health industry standard Guideline for Pediatric Transfusion(WS/T 795-2022).This paper will briefly introduce some concepts that help understand of the Standard and the preparation process of the Standard,and explain and interpret the preparation of the"scope","general provisions"and"factors to consider"of the Standard,hoping to contribute to the understanding and implementation of the Standard.

AIM: In order to bridge the gap between pharmacogenomic research and its clinical application, we propose the concept of genetic electronic identity, named "GeneFace", and developed an electronic information system which integrated "drug-gene" interactions and recommendations for personalized medicine. METHODS: Based on the self-developed Precision Medicine knowledgebase, which concludes drug directions, guidelines or important literatures with high level of evidence, we developed GeneFace with Java-based open-resource application framework Spring Boot, further developed a mobile App with cross-platform framework Uni-APP. RESULTS: The App includes six modules: genetic testing appointment, genetic knowledge introduction, individualized medication advice, medication records, Geneface interpretation, and Precision Medicine knowledgebase. By detecting the genotype of more than 300 gene loci upon first use, users import the results to form a personal "drug-gene identity card". Then scan or enter the drug name in "GeneFace", the App would automatically give corresponding medication recommendations, including: risks for possible adverse drug reactions, risks for reducing the efficacy or even ineffectiveness, and possibility for dose adjustment, etc., which increase the safety of clinical drug use. People can obtain pharmacogenomics knowledge and basic drug information in the "GeneFace" app. CONCLUSION: Development as a digital therapeutic product, the expanded application of GeneFace can rapidly promote clinical applications of basic pharmacogenomics research and significantly improve drug use safety, which creating a new model for accelerating the clinical application of personalized medicine.

When applying deep learning to the automatic segmentation of organs at risk in medical images, we combine two network models of Dense Net and V-Net to develop a Dense V-network for automatic segmentation of three-dimensional computed tomography (CT) images, in order to solve the problems of degradation and gradient disappearance of three-dimensional convolutional neural networks optimization as training samples are insufficient. This algorithm is applied to the delineation of pelvic endangered organs and we take three representative evaluation parameters to quantitatively evaluate the segmentation effect. The clinical result showed that the Dice similarity coefficient values of the bladder, small intestine, rectum, femoral head and spinal cord were all above 0.87 (average was 0.9); Jaccard distance of these were within 2.3 (average was 0.18). Except for the small intestine, the Hausdorff distance of other organs were less than 0.9 cm (average was 0.62 cm). The Dense V-Network has been proven to achieve the accurate segmentation of pelvic endangered organs.
Algorithms ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional ; Neural Networks, Computer ; Organs at Risk ; Pelvis ; Tomography, X-Ray Computed

IgA nephropathy(IgAN)is the most common primary glomerulonephritis in children and adolescents.It is an important cause of chronic kidney disease and end stage renal disease.The pathogenesis of IgAN has not been fully elucidated and it is thought to be associated with a multi-hit hypothesis, namely, increased levels of galactose-deficient IgA1(Gd-IgA1)(Hit 1); production of auto-antibodies directed against Gd-IgA1(Hit 2); formation of Gd-IgA1-containing immune complexes(Hit 3); the deposition of immune complexes in the glomerular mesangium resulting in glomerular injury(Hit 4). Gd-IgA1 is regarded as the initiator of the pathogenesis of IgAN.Core 1, β1, 3-galactosyltransferase(C1GALT1)is a key enzyme in the process of O-glycosylation of IgA.The reduction in the activity and/or gene expression of C1GALT1 is closely related to Gd-IgA1.This review will illustrate the role of C1GALT1 in the pathogenesis, diagnosis, treatment and prognosis of IgAN to provide molecular strategies for the clinical practice.

Objective:To resolve the issue of poor automatic segmentation of the bowel in women with pelvic tumors, a Dense V-Network model was established, trained and evaluated to accurately and automatically delineate the bowel of female patients with pelvic tumors.Methods:Dense Net and V-Net network models were combined to develop a Dense V-Network algorithm for automatic segmentation of 3D CT images. CT data were collected from 160 patients with cervical cancer, 130 of which were randomly selected as the training set to adjust the model parameters, and the remaining 30 were used as test set to evaluate the effect of automatic segmentation.Results:Eight parameters including Dice similarity coefficient (DSC) were utilized to quantitatively evaluate the segmentation effect. The DSC value, JD, ΔV, SI, IncI, HD (cm), MDA (mm), and DC (mm) of the small intestine were 0.86±0.03, 0.25±0.04, 0.10±0.07, 0.88±0.05, 0.85±0.05, 2.98±0.61, 2.40±0.45 and 4.13±1.74, which were better than those of any other single algorithm.Conclusion:Dense V-Network algorithm proposed in this paper can deliver accurate segmentation of the bowel organs. It can be applied in clinical practice after slight revision by physicians.