This study was aimed at exploring the epidemiological characteristics of plague,and the evolutionary relation-ships among the isolated plague strains in the Yunnan border area,to provide clues for further studying epidemic causes and ep-idemiological patterns.Plague epidemic data in the border area during the second epidemic period(1982-2007)were collected and analyzed with descriptive epidemiological methods.Whole genome sequences of 262 strains of Yersinia pestis in the border area were obtained for phylogenetic analysis.Plague outbreaks occurred in 17 counties(cities)among 25 border counties(cit-ies);a total of 552 epidemic foci and 123 human cases were identified.The 1.ORI2,1.ORI3,1.IN3,2.ANT and 2.MED geno-types were identified among Yersinia pestis isolated from the Yunnan border area,among which the 1.ORI2 population was dominant.A total of 258 strains of Yersinia pestis from the 1.OR12 population belonged to four subclusters.The Myanmar and Vietnam clade was embedded within the Yunnan clade in the overall phylogeny.The above results indicated that during the sec-ond period of the epidemic,the intensity of plague epidemics in Yunnan's border areas was high,showing a trend of devel-opment from west to south and east.Our findings indicated a risk of cross-border transmission of plague between Yunnan and neighboring countries;therefore,the surveillance,pre-vention,and control of plague in border areas should be strengthened.

Metabolic reprogramming is a hallmark of cancer, including lung cancer. However, the exact underlying mechanism and therapeutic potential are largely unknown. Here we report that protein arginine methyltransferase 6 (PRMT6) is highly expressed in lung cancer and is required for cell metabolism, tumorigenicity, and cisplatin response of lung cancer. PRMT6 regulated the oxidative pentose phosphate pathway (PPP) flux and glycolysis pathway in human lung cancer by increasing the activity of 6-phospho-gluconate dehydrogenase (6PGD) and α-enolase (ENO1). Furthermore, PRMT6 methylated R324 of 6PGD to enhancing its activity; while methylation at R9 and R372 of ENO1 promotes formation of active ENO1 dimers and 2-phosphoglycerate (2-PG) binding to ENO1, respectively. Lastly, targeting PRMT6 blocked the oxidative PPP flux, glycolysis pathway, and tumor growth, as well as enhanced the anti-tumor effects of cisplatin in lung cancer. Together, this study demonstrates that PRMT6 acts as a post-translational modification (PTM) regulator of glucose metabolism, which leads to the pathogenesis of lung cancer. It was proven that the PRMT6-6PGD/ENO1 regulatory axis is an important determinant of carcinogenesis and may become a promising cancer therapeutic strategy.

Objective: To analyze the clinical and genetic characteristics of pediatric patients with dual genetic diagnoses (DGD). Methods: Clinical and genetic data of pediatric patients with DGD from January 2021 to February 2022 in Peking University First Hospital were collected and analyzed retrospectively. Results: Among the 9 children, 6 were boys and 3 were girls. The age of last visit or follow-up was 5.0 (2.7,6.8) years. The main clinical manifestations included motor retardation, mental retardation, multiple malformations, and skeletal deformity. Cases 1-4 were all all boys, showed myopathic gait, poor running and jumping, and significantly increased level of serum creatine kinase. Disease-causing variations in Duchenne muscular dystrophy (DMD) gene were confirmed by genetic testing. The 4 children were diagnosed with DMD or Becker muscular dystrophy combined with a second genetic disease, including hypertrophic osteoarthropathy, spinal muscular atrophy, fragile X syndrome, and cerebral cavernous malformations type 3, respectively. Cases 5-9 were clinically and genetically diagnosed as COL9A1 gene-related multiple epiphyseal dysplasia type 6 combined with NF1 gene-related neurofibromatosis type 1, COL6A3 gene-related Bethlem myopathy with WNT1 gene-related osteogenesis imperfecta type XV, Turner syndrome (45, X0/46, XX chimera) with TH gene-related Segawa syndrome, Chromosome 22q11.2 microduplication syndrome with DYNC1H1 gene-related autosomal dominant lower extremity-predominant spinal muscular atrophy-1, and ANKRD11 gene-related KBG syndrome combined with IRF2BPL gene-related neurodevelopmental disorder with regression, abnormal movement, language loss and epilepsy. DMD was the most common, and there were 6 autosomal dominant diseases caused by de novo heterozygous pathogenic variations. Conclusions: Pediatric patients with coexistence of double genetic diagnoses show complex phenotypes. When the clinical manifestations and progression are not fully consistent with the diagnosed rare genetic disease, a second rare genetic disease should be considered, and autosomal dominant diseases caused by de novo heterozygous pathogenic variation should be paid attention to. Trio-based whole-exome sequencing combining a variety of molecular genetic tests would be helpful for precise diagnosis.
Humans ; Abnormalities, Multiple ; Retrospective Studies ; Intellectual Disability/genetics* ; Bone Diseases, Developmental/complications* ; Tooth Abnormalities/complications* ; Facies ; Muscular Dystrophy, Duchenne/complications* ; Muscular Atrophy, Spinal/complications* ; Carrier Proteins ; Nuclear Proteins

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity

OBJECTIVE: To compare the efficacy between acupoint selection of meridian diagnosis and regular acupoint selection for chronic atrophic gastritis (CAG). METHODS: A total of 70 cases of CAG were randomly divided into an observation group (35 cases, 5 cases dropped off) and a control group (35 cases, 5 dropped off). In the observation group, according to the hand diagnosis of meridians and the results of 80-channels energy determinator, based on the principle of child-mother relation acupoint combination, the -connecting point and back- points were added for excess syndrome, and the -primary point, front- points and -sea point of foot meridians were added for deficiency syndrome; in addition, the acupoints of the eight extraordinary meridians were added based on the nature of acupoints. In the control group, Zhongwan (CV 12), Neiguan (PC 6), Zusanli (ST 36) and Gongsun (SP 4) were selected as the primary acupoints, and additional acupoints were added according to syndrome differentiation. The two groups were treated twice a week (Tuesday and Thursday, respectively), totally for 6 months. Six months after treatment, the follow-up was conducted. The clinical symptom score, gastroenteropathy patient reported outcomes (PRO) scale score before treatment, after treatment and during follow-up as well as the score of pathological changes of gastric mucosa before and after treatment were compared between the two groups. RESULTS: After treatment and during follow-up, the clinical symptom scores and gastroenteropathy PRO scale scores were decreased in the two groups (<0.01, <0.001); at the follow-up, the gastroenteropathy PRO scale score in the observation group was lower than that in the control group (<0.01). After treatment, the scores of pathological changes of gastric mucosa in the two groups were decreased (<0.01), and the score in the observation group was lower than that in the control group (<0.05). CONCLUSION The acupoint selection of meridian diagnosis is superior to regular acupoint selection for CAG, which has better efficacy, more significant improvement on gastric mucosa pathology, and more stable long-term effect.

Xiaojin pills, the first choice for clinical treatment of breast hyperplasia, were selected to explore the suitability of a bioactivity assay with chemical fingerprinting for the development of an overall quality evaluation assay. The liposoluble and water-soluble fraction fingerprints of Xiaojin pills were established. The ability to inhibit platelet aggregation and the rate of inhibition of cyclooxygenase-2 (COX-2) for 16 batches of Xiaojin pills from several manufacturers was analyzed; the chemical fingerprints of these samples were correlated with the bioactivity and chemical analysis. The animal protocol was approved by the Committee on the Ethics of Animal Experiments of Affiliated Hospital of Chengdu University of Traditional Chinese Medicine Approval, ID: 2018BL-002. Results showed that the antiplatelet aggregation activity of 16 batches was 0.712-1.278 U∙mg^-1, with a relative standard deviation (RSD) of 15.4%. COX-2 inhibition was 52.07%-68.95% and the RSD was 8.91%. The results showed that there was little difference in the biological effects of these samples. However, the chemical fingerprint consistency of these 16 batches of Xiaojin pills was poor, and the similarity of nearly half of the samples was less than 0.9. The total peak area of Xiaojin pills was 32.74%-165.37% across samples, showing very poor chemical consistency. In order to explore the reasons for the poor chemical consistency despite good consistency in the biological assays, the fingerprint chromatogram was analyzed by multivariate statistical analysis. The main chromatographic peaks were identified. The results showed that the similarity of Xiaojin pills was mainly determined by the prominent chromatographic peaks 17, 18, 20, 23 and 27 in the liposoluble fingerprints, which were identified from Liquidambaris resina and Angelica sinensis Radix. However, Liquidambaris resina and Angelicae sinensis Radix had almost no anti-platelet aggregation activity or COX-2 inhibitory effect at the normal prescription ratio. As a result, the ability to utilize chemical fingerprints to evaluate the quality consistency of Xiaojin pills is limited. The selection of biological evaluation methods that reflect clinical efficacy could make up for the shortcomings of chemical evaluation methods for quality assessment, and provide new ideas and methods for the overall quality evaluation of complex Chinese patent medicines.

PURPOSE: The purpose of this study was to evaluate the long-term clinical outcome and toxicity of induction chemotherapy (IC) followed by concomitant chemoradiotherapy (CCRT) compared with CCRT alone for the treatment of children and adolescent locoregionally advanced nasopharyngeal carcinoma (LACANPC). MATERIALS AND METHODS: A total of 194 locoregionally advanced nasopharyngeal carcinoma patients youngerthan 21 years who received CCRT with or without IC before were included in the study population. Overall survival (OS) rate, progression-free survival (PFS) rate, locoregional recurrence-free survival (LRFS) rate, and distant metastasis-free survival (DMFS) rate were assessed by the Kaplan-Meier method and a log-rank test. Treatment toxicities were clarified and compared between two groups. RESULTS: One hundred and thiry of 194 patients received IC+CCRT. Patients who were younger and with more advanced TNM stage were more likely to receive IC+CCRT and intensive modulated radiotherapy. The addition of IC before CCRT failed to improve survival significantly. The matched analysis identified 43 well-balanced patients in both two groups. With a median follow-up of 51.5 months, no differences were found between the IC+CCRT group and the CCRT group in 5-year OS (83.7% vs. 74.6%, p=0.153), PFS (79.2% vs. 73.4%, p=0.355), LRFS (97.7% vs. 88.2%, p=0.083), and DMFS (81.6% vs. 81.6%, p=0.860). N3 was an independent prognostic factor predicting poorer OS, PFS, and DMFS. The addition of IC was associated with increased rates of grade 3 to 4 neutropenia. CONCLUSION: This study failed to demonstrate that adding IC before CCRT could provide a significant additional survival benefit for LACANPC patients. Further investigations are warranted.
Adolescent* ; Chemoradiotherapy* ; Child* ; Cohort Studies* ; Disease-Free Survival ; Follow-Up Studies ; Humans ; Induction Chemotherapy* ; Methods ; Neutropenia ; Radiotherapy

Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data, such as medical images, electroencephalography, genomic and protein sequences. Learning from these data facilitates the understanding of human health and disease. Developed from artificial neural networks, deep learning-based algorithms show great promise in extracting features and learning patterns from complex data. The aim of this paper is to provide an overview of deep learning techniques and some of the state-of-the-art applications in the biomedical field. We first introduce the development of artificial neural network and deep learning. We then describe two main components of deep learning, i.e., deep learning architectures and model optimization. Subsequently, some examples are demonstrated for deep learning applications, including medical image classification, genomic sequence analysis, as well as protein structure classification and prediction. Finally, we offer our perspectives for the future directions in the field of deep learning.
Algorithms ; Computational Biology ; methods ; Diagnostic Imaging ; Genomics ; methods ; Humans ; Image Interpretation, Computer-Assisted ; methods ; Machine Learning ; Neural Networks (Computer) ; Protein Structure, Secondary ; Proteins ; metabolism

OBJECTIVEThis study aimed to investigate the genetic background of mitochondrial genes in young patients with Coronary heart disease (CHD) to provide a foundation for the early prevention of young patients with CHD.

METHODS115 cases of young (⋜ 45 years) CHD Chinese Han patients (case group), 100 cases of older (> 45 years) Chinese Han CHD patients (experimental group) hospitalized and 100 cases of healthy people through physical examination (control group) at the General Hospital of PLA between January 2014 and December 2015 were selected. General information, clinical assessment, pedigree analysis, and mitochondrial full sequence scanning were performed. The pedigrees of one patient harbouring the C5263T mutation were recruited. Mitochondrial functional analysis including cellular reactive oxygen species (ROS) levels and mitochondrial membrane potential (MMP) were performed on pedigrees with the C5263T mutation (mutation group) and without the mutation (non-mutation group).

RESULTSThe differences in biochemical tests (P > 0.05) between the case group and experimental group were not significant. The C5263T single-nucleotide mutation of the mitochondrial ND2 gene was observed in 2 young CHD patients in the case group. The premature CHD of these 2 patients followed a pattern of maternal inheritance. The mutation group (I1, II2) had higher ROS levels (4750.82 ± 1045.55 vs. 3888.58 ± 487.60, P = 0.022) and lower MMP levels (P = 0.045) than the non-mutation group (II1, III1, III2).

CONCLUSIONWe speculated that the mitochondrial C5263T mutation might be associated with the occurrence CHD in Chinese Han young people.

Adult ; Aged ; Aged, 80 and over ; Base Sequence ; China ; epidemiology ; Coronary Disease ; epidemiology ; genetics ; Female ; Genes, Mitochondrial ; Humans ; Male ; Middle Aged ; Mitochondrial Proteins ; genetics ; metabolism ; Mutation ; NADH Dehydrogenase ; genetics ; metabolism

Objective To compare the clinical efficacies of 3D and 2D laparoscopic partial nephrectomy for renal tumors and to investigate the pros and cons of 3D laparoscopic partial nephrectomy. Methods We retrospectively analyzed the clinical data of 134 patients with renal tumors; they underwent laparoscopic partial nephrectomy between Aug. 2013 and Mar. 2016 by the same surgical group in Changhai Hospital and Changzheng Hospital, Second Military Medical University. Fifty-three cases were included in the 3D laparoscopic partial nephrectomy group and 81 cases in the 2D laparoscopic partial nephrectomy group. The perioperative and follow-up data subjected to comparison and analysis included operative time, estimated blood loss, intraoperative transfusion, warm ischemic time, recovery time of bowel function, length of hospitalization, perioperative complications, and pre- and post-operative glomerular filtration rate (GFR). Results All operation procedures of this study were completed uneventfully without conversion to open surgery or radical nephrectomy, and surgical margins were negative in all cases. The operative time ([193.40±45.14] vs [217.00±59.19] min, P = 0.015), warm ischemic time ([23.70±6.96] vs [26.60±8.10] min, P = 0.032) and decrease of GFR of the operated kidney ([12.70 + 6.49] vs [15. 10 + 6. 45] mL • min-1 • 1. 73 m2, P = 0. 036) in the 3D group were significantly improved compared with those in the 2D group. However, the estimated blood loss, intraoperative transfusion, recovery time of bowtt function, length of hospitalization and perioperative complications were not significantly different between the two groups (P>0. 05). Att the patients with complications were discharged from the hospitat after conservative therapy. During a follow-up of 1-32 months, no patients had acute or chronic renat failure, local recurrence or distant metastasis, and there was no death case. Conclusion Compared with 2D laparoscopic partial nephrectomy, 3D laparoscopic technology can reduce operative time and warm ischemic time, which can help to better conserve renal function.