ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Cells are the fundamental structural and functional units of biological organisms,with inherent differences in composition and interactions with exogenous substances,known as cellular heterogeneity.Single cell inductively coupled plasma-mass spectrometry(SC-ICP-MS)allows for the high-throughput introduction of individual cells,enabling the highly sensitive detection and quantification of elements within a single cell,thus effectively providing information on cellular heterogeneity.This review outlined the SC-ICP-MS sample preparation process for different types of cells(single-cell systems,aggregation-prone and adherent cell systems,animal tissues,and plant tissues),including steps such as separation,washing,and fixation,as well as the advantages and existing issues of the current sample introduction systems and quantification methods.The recent applications of SC-ICP-MS in detecting endogenous substances(endogenous elements and proteins),exogenous substances(heavy metals,metal-based drugs and nanoparticles),and the simultaneous detection of both endogenous and exogenous substances were summarized.Finally,the perspectives on the future development of SC-ICP-MS in analytical methods and application fields were presented,including the optimization of single-cell sample preparation,transport efficiency,evaluation standards of ionization efficiency,and the establishment of multiparametric cell analysis platforms.

Objective To evaluate the in vitro effect of combinations of 5 β-lactam antibiotics with different β-lac-tamase inhibitors on the activity of multidrug-resistant Mycobacterium tuberculosis(MDR-TB),and identify the most effective combination of β-lactam antibiotics and β-lactamase inhibitors against MDR-TB.Methods MDR-TB strains collected in Henan Province Antimicrobial Resistance Surveillance Project in 2021 were selected.The mini-mum inhibitory concentrations(MIC)of 5 β-lactam antibiotics or combinations with different β-lactamase inhibitors on clinically isolated MDR-TB strains were measured by MIC detection method,and the blaC mutation of the strains was analyzed by polymerase chain reaction(PCR)and DNA sequencing.Results A total of 105 strains of MDR-TB were included in the analysis.MIC detection results showed that doripenem had the highest antibacterial activity against MDR-TB,with a MIC50 of 16 μg/mL.MIC values of most β-lactam antibiotics decreased significantly after combined with β-lactamase inhibitors.A total of 13.33％(n=14)strains had mutations in blaC gene,mainly 3 nu-cleotide substitution mutations,namely AGT333AGG,AAC638ACC and ATC786ATT.BlaC proteins Ser111 Arg and Asn213Thr enhanced the synergistic effect of clavulanic acid/sulbactam and meropenem on MDR-TB compared with synonymous single-nucleotide mutation.Conclusion The combination of doripenem and sulbactam has the strongest antibacterial activity against MDR-TB.Substitution mutations of BlaC protein Ser111 Arg and Asn213Thr enhances the sensitivity of MDR-TB to meropenem through the synergy with clavulanic acid/sulbactam.

Objective To analyze the genetic subtypes of human immunodeficiency virus (HIV) and the prevalence of pretreatment drug resistance in the newly reported HIV-infected men in Guangxi. Methods The stratified random sampling method was employed to select the newly reported HIV-infected men aged≥50 years old in 14 cities of Guangxi from January to June in 2020.The pol gene of HIV-1 was amplified by nested reverse transcription polymerase chain reaction and then sequenced.The mutation sites associated with drug resistance and the degree of drug resistance were then analyzed. Results A total of 615 HIV-infected men were included in the study.The genetic subtypes of CRF01_AE,CRF07_BC,and CRF08_BC accounted for 57.4% (353/615),17.1% (105/615),and 22.4% (138/615),respectively.The mutations associated with the resistance to nucleoside reverse transcriptase inhibitors (NRTI),non-nucleoside reverse transcriptase inhibitors (NNRTI),and protease inhibitors occurred in 8 (1.3%),18 (2.9%),and 0 patients,respectively.M184V (0.7%) and K103N (1.8%) were the mutations with the highest occurrence rates for the resistance to NRTIs and NNRTIs,respectively.Twenty-two (3.6%) patients were resistant to at least one type of inhibitors.Specifically,4 (0.7%),14 (2.3%),4 (0.7%),and 0 patients were resistant to NRTIs,NNRTIs,both NRTIs and NNRTIs,and protease inhibitors,respectively.The pretreatment resistance to NNRTIs had much higher frequency than that to NRTIs (2.9% vs.1.3%;χ²=3.929,P=0.047).The prevalence of pretreatment resistance to lamivudine,zidovudine,tenofovir,abacavir,rilpivirine,efavirenz,nevirapine,and lopinavir/ritonavir was 0.8%, 0.3%, 0.7%, 1.0%, 1.3%, 2.8%, 2.9%, and 0, respectively. Conclusions CRF01_AE,CRF07_BC,and CRF08_BC are the three major strains of HIV-infected men≥50 years old newly reported in Guangxi,2020,and the pretreatment drug resistance demonstrates low prevalence.
Male ; Humans ; Middle Aged ; Reverse Transcriptase Inhibitors/therapeutic use* ; HIV Infections/drug therapy* ; Drug Resistance, Viral/genetics* ; China/epidemiology* ; Mutation ; HIV-1/genetics* ; Protease Inhibitors/therapeutic use* ; Genotype

The U6 promoter is an important element driving sgRNA transcription in the CRISPR/Cas9 system. Seven PqU6 promo-ter sequences were cloned from the gDNA of Panax quinquefolium, and the transcriptional activation ability of the seven promoters was studied. In this study, seven PqU6 promoter sequences with a length of about 1 300 bp were cloned from the adventitious roots of P. quinquefolium cultivated for 5 weeks. Bioinformatics tools were used to analyze the sequence characteristics of PqU6 promoters, and the fusion expression vectors of GUS gene driven by PqU6-P were constructed. Tobacco leaves were transformed by Agrobacterium tumefaciens-mediated method for activity detection. The seven PqU6 promoters were truncated from the 5'-end to reach 283, 287, 279, 289, 295, 289, and 283 bp, respectively. The vectors for detection of promoter activity were constructed with GUS as a reported gene and used to transform P. quinquefolium callus and tobacco leaves. The results showed that seven PqU6 promoter sequences(PqU6-1P to PqU6-7P) were cloned from the gDNA of P. quinquefolium, with the length ranged from 1 246 bp to 1 308 bp. Sequence comparison results showed that the seven PqU6 promoter sequences and the AtU6-P promoter all had USE and TATA boxes, which are essential elements affecting the transcriptional activity of the U6 promoter. The results of GUS staining and enzyme activity test showed that all the seven PqU6 promoters had transcriptional activity. The PqU6-7P with a length of 1 269 bp had the highest transcriptional activity, 1.31 times that of the positive control P-35S. When the seven PqU6 promoters were truncated from the 5'-end(PqU6-1PA to PqU6-7PA), their transcriptional activities were different in tobacco leaves and P. quinquefolium callus. The transcriptional activity of PqU6-7PA promoter(283 bp) was 1.59 times that of AtU6-P promoter(292 bp) when the recipient material was P. quinquefolium callus. The findings provide more ideal endogenous U6 promoters for CRISPR/Cas9 technology in ginseng and other medicinal plants.
Panax/genetics* ; Promoter Regions, Genetic ; Agrobacterium tumefaciens/genetics* ; Computational Biology ; Cloning, Molecular

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

OBJECTIVE: To analyze the characteristics and prognosis of acute leukemia(AL) with SET-NUP214 fusion gene. METHODS: The clinical data of 17 patients over 14 years old newly diagnosed with SET-NUP214 positive AL admitted in Institute of Hematology and Blood Diseases Hospital from August 2017 to May 2021 were analyzed retrospectively. RESULTS: Among the 17 SET-NUP214 positive patients, 13 cases were diagnosed as T-ALL (ETP 3 cases, Pro-T-ALL 6 cases, Pre-T-ALL 3 cases, Medullary-T-ALL 1 case), AML 3 cases (2 cases M5, 1 case M0) and ALAL 1 case. Thirteen patients presented extramedullary infiltration at initial diagnosis. All 17 patients received treatment, and a total of 16 cases achieved complete remission (CR), including 12 cases in patients with T-ALL. The total median OS and RFS time were 23 (3-50) months and 21 (0-48) months, respectively. Eleven patients received allogeneic hematopoietic stem cell transplantation(allo-HSCT), with median OS time of 37.5 (5-50) months and median RFS time of 29.5 (5-48) months. The median OS time of 6 patients in chemotherapy-only group was 10.5 (3-41) months, and median RFS time of 6.5 (3-39) months. The OS and RFS of patients with transplantation group were better than those of chemotherapy-only group (P=0.038). Among the 4 patients who relapsed or refractory after allo-HSCT, the SET-NUP214 fusion gene did not turn negative before transplantation. While, in the group of 7 patients who have not relapsed after allo-HSCT till now, the SET-NUP214 fusion gene expression of 5 patients turned negative before transplantation and other 2 of them were still positive. CONCLUSION The fusion site of SET-NUP214 fusion gene is relatively fixed in AL patients, often accompanied by extramedullary infiltration. The chemotherapy effect of this disease is poor, and allo-HSCT may improve its prognosis.
Humans ; Adolescent ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma ; Retrospective Studies ; Leukemia, Myeloid, Acute/therapy* ; Hematopoietic Stem Cell Transplantation ; Acute Disease ; Prognosis ; Leukemia-Lymphoma, Adult T-Cell/therapy* ; Nuclear Pore Complex Proteins

OBJECTIVE: To analyze the factors related to pregnancy of endometriosis and whether Chinese herbal medicines (CHMs) can improve pregnancy outcomes in patients with endometriosis in long-term management. METHODS: This multicenter cohort study retrospectively analyzed the clinical data of endometriosis patients with fertility needs from January 2019 to November 2019. A total of 252 patients with endometriosis from 5 level-III Grade A hospitals in Beijing were included in this study. Univariate and multivariate logistic regression analysis were performed for the relevant factors. The propensity score matching (PSM) function of SPSS software was used to match the CHMs group with the non-CHMs group. The pregnancy rate and live birth rate were analyzed. RESULTS: The results of univariate analysis showed that age, disease course, presence of infertility, presence of adenomyosis, time after surgery or use of gonadotropin-releasing hormone agonist (GnRH-a), use of CHMs and follow-up time were influencing factors of pregnancy in endometriosis patients (P<0.05). The results of multivariate analysis showed that age, presence of adenomyosis, time after surgery or use of GnRH-a, use of CHMs and follow-up time were independent factors affecting pregnancy in endometriosis patients, among which, age ⩾35 years old, presence of adenomyosis and follow-up time >6 months were independent risk factors (OR=0.445, 0.348, 0.140, respectively, P<0.05), time after surgery or use of GnRH-a ⩽6 months and use of CHMs were independent protective factors (OR=3.839, 3.842, respectively, P<0.05). After PSM, 99 pairs of two groups were matched successfully. The pregnancy rate of the CHMs group was higher than that of the non-CHMs group [55.56% (55/99) vs. 36.36% (36/99), P<0.05]. The live birth rate of the CHMs group was higher than that of the non-CHMs group [49.49% (49/99) vs. 35.35% (35/99), P<0.05]. CONCLUSION CHMs can effectively improve clinical pregnancy rate and live birth rate of patients with endometriosis in the chronic disease management.
Pregnancy ; Female ; Humans ; Adult ; Pregnancy Outcome ; Endometriosis/surgery* ; Retrospective Studies ; Cohort Studies ; Adenomyosis ; Gonadotropin-Releasing Hormone ; Plant Extracts ; Fertilization in Vitro

OBJECTIVE: To determine the feasibility of conducting a full-scale randomized controlled trial (RCT) and investigate the basic information and safety of acupuncture for patients with chronic spontaneous urticaria (CSU). METHODS: A total of 80 participants with CSU from July 2018 to July 2019 were randomly assigned to receive active acupuncture (n=41) on a fixed prescription of acupoints or sham acupuncture (n=39) with superficial acupuncture on non-acupuncture points through the completely randomized design. Patients in both groups received 5 sessions per week for 2 weeks, and participants were followed for a further 2 weeks. Feasibility was assessed by recruitment and randomization rates, retention of participants, treatment protocol adherence, and the incidence of adverse events (AEs). The clinical primary outcome was the changes from baseline weekly urticaria activity scores (UAS7) after treatment at 2 weeks. Secondary outcomes included the Visual Analogue Scale (VAS) score of itching intensity, Dermatology Life Quality Index (DLQI), Hamilton Depression Scale (HAMD), and Hamilton Anxiety Scale (HAMA). RESULTS: A total of 80 participants were enrolled. The recruitment rate of 24.02%, randomization rate of 100%, a loss rate of 6.25%, and no obvious AEs were observed in either group. The decrease from baseline in the mean UAS7 total score at week 2 in the active acupuncture group was -8.63 (95%CI, -11.78 to -5.49) and -6.21 (95%CI, -9.43 to -2.98) in the sham acupuncture group for a between-group difference of -2.42 (95% CI, -6.93 to 2.07). The change in the DLQI, VAS of itching intensity, HAMA, and HAMD were a slightly better improvement trend in the active acupuncture group than the sham acupuncture group, but the between-group difference was not significant. CONCLUSIONS Active acupuncture had a better improvement trend in alleviating symptoms, improving quality of life and regulating the mood of anxiety and depression in patients with CSU than sham acupuncture. (Registration Nos. AMCTR-ICR-18000190 and ChiCTR2100054776).