This article reports the diagnosis and treatment of a patient with diffuse large B-cell lymphoma (DLBCL) initially manifested as acquired von Willebrand syndrome (AvWS), along with a literature review. The patient, a 22-year-old male, was diagnosed with hereditary von Willebrand disease at the initial stage due to repeated mucosal bleeding, and was later diagnosed with DLBCL (non germinal center type, Ann Arbor stage Ⅳ) due to chest wall mass. Through chemotherapy combined with autologous hematopoietic stem cell transplantation and zebutinib maintenance therapy, the patient achieved sustained complete remission, and the coagulation function returned to normal. This case provides an important reference for the diagnosis and treatment of lymphoma associated AvWS, and highlights the importance of early recognition of basic diseases.

The theory of " Sui Qi Suo De" originates from Zhang Zhongjing's Jin Gui Yao Lue and has been further developed by later generations of practitioners, offering significant guidance for clinical practice. Myelodysplastic syndromes (MDS) are common malignant disorders of the hematopoietic system, characterized by high heterogeneity and progressive mutational changes. In Traditional Chinese Medicine (TCM), MDS falls under the category of "marrow toxin exhaustion". This article applies the theory of " Sui Qi Suo De" in TCM to analyze the pathophysiological changes during different stages of MDS. Specifically, it explores the precursor stage (focusing on health maintenance and prevention before illness, addressing the " Suo De" of "gradual decline of vital qi"), the low-risk stage (strengthening the spleen and kidneys, clearing toxic pathogens, addressing the " Suo De" of "weakened vital qi invaded by pathogens"), and the medium-to-high-risk stage (detoxifying and reinforcing the body, harmonizing physical and mental health, addressing the " Suo De" of "dominant pathogens and declining vital qi"). The goal is to provide new directions and theoretical insights for the TCM treatment of MDS.

This article reports the diagnosis and treatment of a patient with diffuse large B-cell lymphoma (DLBCL) initially manifested as acquired von Willebrand syndrome (AvWS), along with a literature review. The patient, a 22-year-old male, was diagnosed with hereditary von Willebrand disease at the initial stage due to repeated mucosal bleeding, and was later diagnosed with DLBCL (non germinal center type, Ann Arbor stage Ⅳ) due to chest wall mass. Through chemotherapy combined with autologous hematopoietic stem cell transplantation and zebutinib maintenance therapy, the patient achieved sustained complete remission, and the coagulation function returned to normal. This case provides an important reference for the diagnosis and treatment of lymphoma associated AvWS, and highlights the importance of early recognition of basic diseases.

Aristolochic acid (AA), extracted from Aristolochiaceae plants, plays an essential role in traditional herbal medicines and is used for different diseases. However, AA has been found to be nephrotoxic and is known to cause aristolochic acid nephropathy (AAN).AA-induced acute kidney injury (AKI) is a syndrome in AAN with a high morbidity that manifests mitochondrial damage as a key part of its pathological progression. Melatonin primarily serves as a mitochondria-targeted antioxidant. However, its mitochondrial protective role in AA-induced AKI is barely reported. In this study, mice were administrated 2.5 mg/kg AA to induce AKI. Melatonin reduced the increase in Upro and Scr and attenuated the necrosis and atrophy of renal proximal tubules in mice exposed to AA. Melatonin suppressed ROS generation, MDA levels and iNOS expression and increased SOD activities in vivo and in vitro. Intriguingly, the in vivo study revealed that melatonin decreased mitochondrial fragmentation in renal proximal tubular cells and increased ATP levels in kidney tissues in response to AA. In vitro, melatonin restored the mitochondrial membrane potential (MMP) in NRK-52E and HK-2 cells and led to an elevation in ATP levels. Confocal immunofluorescence data showed that puncta containing Mito-tracker and GFP-LC3A/B were reduced, thereby impeding the mitophagy of tubular epithelial cells. Furthermore, melatonin decreased LC3A/B-II expression and increased p62 expression. The apoptosis of tubular epithelial cells induced by AA was decreased. Therefore, our findings revealed that melatonin could prevent AA-induced AKI by attenuating mitochondrial damage, which may provide a potential therapeutic method for renal AA toxicity.

Objective:To identify tooth number abnormalities on pediatric panoramic radiographs based on deep learning.Methods:Eight hundred panoramic radiographs of children aged 4 to 11 years meeting the inclusion and exclusion criteria were selected and randomly assigned by writing programs in Python (version 3.9) to the training set (480 images), verification set (160 images) and internal test set (160 images), taken in Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology between November 2012 to August 2020. And all panoramic radiographs of children aged 4 to 11 years taken in the First Outpatient Department of Peking University School and Hospital of Stomatology from June 2022 to December 2022 were collected as the external test set (907 images). All of the 1 707 images were obtained by operators to determine the outline and to label the tooth position of each deciduous tooth, permanent tooth, permanent tooth germ and additional tooth. The deep learning model with ResNet-50 as the backbone network was trained on the training set, validated on the verification set, tested on the internal test set and external test set. The images of test sets were divided into two categories according to whether there was abnormality of tooth number, to calculate sensitivity, specificity, positive predictive value and negative predictive value, and then divided into four types of extra teeth and missing permanent teeth both existed, extra teeth existed only, missing permanent teeth existed only, and normal teeth number, to calculate Kappa values. Results:The sensitivity, specificity, positive predictive value and negative predictive value were 98.0%, 98.3%, 99.0% and 96.7% in the internal test set, and 97.1%, 98.4%, 91.9% and 99.5% in the external test set respectively, according to whether there was abnormality of tooth number. While images were divided into four types, the Kappa value obtained in the internal test set was 0.886, and that in the external test set was 0.912. Conclusions:In this study, a deep learning-based model for identifying abnormal tooth number of children was developed, which could identify the position of additional teeth and output the position of missing permanent teeth on the basis of identifying normal deciduous and permanent teeth and permanent tooth germs on panoramic radiographs, so as to assist in diagnosing tooth number abnormalities.

Novel Coronavirus Pneumonia (NCP) is a class B infectious disease, which is prevented and controlled according to class A infectious diseases. Recently, children′s NCP cases have gradually increased, and children′s fever outpatient department has become the first strategic pass to stop the epidemic. Strengthening the management of the fever diagnosis process is very important for early detection of suspected children, early isolation, early treatment and prevention of cross-infection. This article proposes prevention and control strategies for fever diagnosis, optimizes processes, prevents cross-infection, health protection and disinfection of medical staff, based on the relevant diagnosis, treatment, prevention and control programs of the National Health and Health Commission and on the diagnosis and treatment experience of experts in various provinces and cities. The present guidance summarizes current strategies on pre-diagnosis; triage, diagnosis, treatment, and prevention of 2019-nCoV infection in common fever, suspected and confirmed children, which provide practical suggestions on strengthening the management processes of children′s fever in outpatient department during the novel coronavirus pneumonia epidemic period.

The early diagnosis of children with autism spectrum disorders (ASD) is essential. Electroencephalography (EEG) is one of most commonly used neuroimaging techniques as the most accessible and informative method. In this study, approximate entropy (ApEn), sample entropy (SaEn), permutation entropy (PeEn) and wavelet entropy (WaEn) were extracted from EEGs of ASD child and a control group, and Student's -test was used to analyze between-group differences. Support vector machine (SVM) algorithm was utilized to build classification models for each entropy measure derived from different regions. Permutation test was applied in search for optimize subset of features, with which the SVM model achieved best performance. The results showed that the complexity of EEGs in children with autism was lower than that of the normal control group. Among all four entropies, WaEn got a better classification performance than others. Classification results vary in different regions, and the frontal lobe showed the best performance. After feature selection, six features were filtered out and the accuracy rate was increased to 84.55%, which can be convincing for assisting early diagnosis of autism.
Algorithms ; Autism Spectrum Disorder ; classification ; diagnosis ; Child ; Electroencephalography ; Entropy ; Humans ; Support Vector Machine

To investigate the presence of integrated Epstein-Barr virus (EBV) DNA in the NK/T cell lymphoma (NKTCL) ge-nome and analyze the integration information in the genome of NKTCL cell lines. Methods: PCR and in situ hybridization were used to detect EBV infection in five EBV (+) NK/T samples and four EBV (-) NK/T samples provided by the biobanks of the First Affiliated Hospi-tal of Zhengzhou University. Whole-genome DNA of the samples was sequenced and subjected to bioinformatics analysis. Whole-ge-nome sequence alignment was used to identify the EBV integration sequence. BLAST analysis was used to compare EBV fasta files of the samples and EBV fasta library. CREST software was used to extract softclip reads, filter all paired reads, and enumerate their distri-bution on chromosomes. The integrated genomics viewer (IGV) was used to compare the distribution of reads in partial regions of chromosome. PCR was used to amplify the high-frequency integration region of the EBV DNA. The amplified fragments were sanger se-quenced. Results: EBV DNA and EBER expression were detected in five EBV (+) NK/T samples but not in the four EBV (-) NK/T samples. Sequencing depth, coverage depth, proportion of coverage, and proportion of alignment all met the requirements for subsequent re-search. Sequence alignment revealed that the captured sequences were viral sequences. Filtered reads were most numerous in EBV (+) NKTCL cell line SNK, YTS, and EBV (+) nasal NKTCL tissue. The reads were non-randomly enriched in chromosome 2. EBV DNA inte-gration in the 400 bp region of chr2:30234084-30234483 caused insertion or deletion in the chr2p23.1 site. Conclusions: EBV DNA is highly integrated in the chr2p23.1 site of EBV (+) NKTCL cells and may affect the expression of related genes.

Objective: To investigate the expression and clinical significance of programmed death-ligand 1 (PD-L1), programmed death-ligand 2 (PD-L2), and their receptor programmed cell death protein 1 (PD-1) in EBV-positive T/NK lymphoproliferative disease [Epstein-Barr virus-positive T/natural killer (NK)-cell lymphoproliferative disease, EBV(+)-T/NK-LPD]. Methods: The pathological paraffin-embedded tissues of 17 patients with EBV(+)-T/NK-LPD from the First Affiliated Hospital of Zhengzhou University from January 2013 to December 2017 were collected. These patients include 12 males and 5 females, aged 10-82 years old, the average age being 29 years, 4 people in gradeⅠ, 7 in gradeⅡ, 3 in gradeⅢ, and 3 people with hydroa vacciniforme-like lymphoproliferative disorders. Immunohistochemical SP method was used to detect the expression of PD-1, PD-L1, and PD-L2 in human EBV(+)-T/NK-LPD tissues. The relationship between PD-1, PD-L1, PD-L2 expression, and clinicopathological parameters, pathological grades and prognosis were analyzed by Fisher's exact probabilities and Spearman rank correlation. Result: After statistical analysis, the results showed that in 17 cases of tissue samples, there were 12 cases with positive PD-1 expression, 6 cases with positive PD-L1 expression and 5 cases with positive PD-L2 expression. There was no significant correlation between PD-1 and PD-L2 expression and prognosis (P>0.05). PD-L1 expression showed a positive correlation with prognosis (P<0.05). There was no significant correlation between the expression of PD-L1 and PD-L2 with age, sex, as well as LDH and Ki-67 levels (P>0.05). Moreover, there was no significant correlation of PD-1 and PD-L2 expression with pathological grade (r=0.141, r=-0.149, both P>0.05). However, there was a negative correlation between the PD-L1 expression and pathological grade (r=-0.563), and the correlation between the PD-L1 ex-pression and pathological grade was statistically significant (P<0.05). Conclusions: PD-1, PD-L1, and PD-L2 are abnormally expressed in the pathological tissues of EBV(+)-T/NK-LPD. Although there was no significant correlation between the expression of PD-1 and prognosis or pathological grade, it was significantly higher in EBV+T/NK-LPD. PD-1/PD-Ls associated signaling pathway is expected to be a potential new target for EBV(+)-T/NK-LPD immunotherapy.