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.

Hypoxia-inducible factor (HIF-1α), a core transcription factor responding to changes in cellular oxygen levels, is closely associated with a wide range of physiological and pathological conditions. However, its differential impacts on vascular cell types and molecular programs modulating human vascular homeostasis and regeneration remain largely elusive. Here, we applied CRISPR/Cas9-mediated gene editing of human embryonic stem cells and directed differentiation to generate HIF-1α-deficient human vascular cells including vascular endothelial cells, vascular smooth muscle cells, and mesenchymal stem cells (MSCs), as a platform for discovering cell type-specific hypoxia-induced response mechanisms. Through comparative molecular profiling across cell types under normoxic and hypoxic conditions, we provide insight into the indispensable role of HIF-1α in the promotion of ischemic vascular regeneration. We found human MSCs to be the vascular cell type most susceptible to HIF-1α deficiency, and that transcriptional inactivation of ANKZF1, an effector of HIF-1α, impaired pro-angiogenic processes. Altogether, our findings deepen the understanding of HIF-1α in human angiogenesis and support further explorations of novel therapeutic strategies of vascular regeneration against ischemic damage.
Humans ; Vascular Endothelial Growth Factor A/metabolism* ; Endothelial Cells/metabolism* ; Transcription Factors/metabolism* ; Gene Expression Regulation ; Hypoxia/metabolism* ; Cell Hypoxia/physiology*

OBJECTIVE: To evaluate the effect of manual acupuncture on endometrial blood flow parameters by three-dimensional (3D) power Doppler ultrasound in women undergoing in vitro fertilization embryo transfer (IVF-ET). METHODS: Seventy patients undergoing IVF-ET were equally randomized into traditional or sham acupuncture treatment group for totally 4 days (from the day of oocyte aspiration to the day of embryo transfer) of treatment by random envelope method at the Reproductive Medicine Center and Outpatient Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medicine College, Huazhong University of Science and Technology from January 2013 to December 2015. Patients in the traditional acupuncture group accepted traditional acupuncture methods with manual acupuncture, and Zhongji (CV3), Qihai (CV 6), Sanyinjiao (SP6), Taichong (LR 3), Tianshu (ST 25), Guilai (ST 29) and Zusanli (ST 36) were chosen. Patients at the sham acupuncture group accepted shallow acupuncture methods at 4 non-meridian points at each shoulder and upper arm. Outcome measures included endometrial ultrasonic indices such as vascularization index (VI), flow index (FI) and vascularization flow index (VFI), endometrial thickness and volume, subendometrial VI (sVI), subendometrial FI (sFI), subendometrial VFI (sVFI), implantation rate, clinical pregnancy rate, abortion rate, live birth rate and number of live births. RESULTS: Finally, 34 patients in the traditional acupuncture group and 35 in the sham acupuncture group completed this trial. VI, FI and VFI of the traditional acupuncture group were significantly higher than those in the sham acupuncture group (P<0.05). No significant differences were found in endometrial thickness, endometrial volume, sVI, sFI, sVFI, implantation rate, clinical pregnancy rate, abortion rate, live birth rate and number of live births (P>0.05). CONCLUSIONS Manual acupuncture performed after oocyte aspiration and before transplantation improved the endometrial blood flow parameters VI, RI and VFI in women who underwent IVF-ET, instead of sVI, sFI and sVFI. Therefore, acupuncture might be beneficial in women undergoing IVF-ET by increasing endometrial blood flow and endometrial receptivity. (Registration No. ChiCTR2100053354).
Pregnancy ; Humans ; Female ; Fertilization in Vitro/methods* ; Single-Blind Method ; Embryo Transfer ; Pregnancy Rate ; Acupuncture Therapy ; Endometrium/blood supply*

Conversion therapy such as transcatheter arterial chemoembolization(TACE)and hepatic arterial infusion chemotherapy(HAIC)is the main treatment method to transform unresectable advanced liver cancer into resectable liver cancer,which can not only effectively increase the survival rate of patients,but also provide patients with the opportunity of liver transplantation.However,pain is a major complication of TACE and HAIC in the treatment of liver cancer,and the incidence of abdominal pain after TACE is from 19.3%to 71.2%,and nearly 64.6%of patients have different degrees of pain during HAIC,which seriously affects the quality of life of patients and shortens their survival time.At present,the mechanism of pains caused by TACE and HAIC is not clear,and it may be related to local liver tissue swelling after embolic agents block the tumor blood supply artery,increased pressure in the liver tissue envelope or traction of the mass capsule,chemical stimulation of the hepatic artery by embolic agents and antineoplastic drugs,thrombosis adjacent to the normal organs,and visceral pain sensitization caused by intestinal ischemia.There are two main intervention measures for pain,one of which is lidocaine,opioids,non-steroidal anti-inflammatory drugs and glucocorticoids,and the other is wrist and ankle acupuncture and traditional Chinese medicine decoction,but their treatment effects are uneven.This article summarizes the status and treatment of pain caused by TACE and HAIC therapies for liver cancer,in order to provide reference for its clinical treatment.

Objective:To investigate the diagnostic value of serum ferritin in intestinal failure-associated liver disease. Methods:Clinical data of adult patients with short bowel syndrome admitted to the Department of General Surgery of Jinling Hospital affiliated to Nanjing University from January 2019 to December 2022 were retrospectively analyzed to determine the correlation between serum ferritin and liver enzyme profiles by linear regression,to screen the potential risk factors of liver injury by multifactorial Logistic regression analysis,and to establish a prediction model for liver fibrosis. The area under the curve was also calculated to assess the accuracy of the model. Results:A total of 106 patients with short bowel syndrome were included,of whom 55 (51.9％) had elevated serum ferritin (SF). Linear regression analysis showed a positive correlation between serum ferritin and ALT (r=0.427,P<0.001),ALP (r=0.365,P<0.001),and γ-GT (r=0.423,P<0.001),and one-way Logistic regression analysis showed that the higher the level of serum ferritin,the more pronounced the difference was (SF>ULN) The one-way logistic regression analysis showed that the higher the serum ferritin level,the more significant the difference was[SF>ULN (upper limit of normal value of serum ferritin),P=0.033;SF>1.5×ULN,P=0.018;SF>2.5×ULN,P=0.006]. Multifactorial logistic regression analysis showed that PN dependence (OR=3.366,P=0.017) and serum ferritin>2.5 ULN (OR=3.292,P=0.014)were independent risk factors for intestinal failure-associated liver disease-liver fibrosis,and the receiver operating curve (ROC) of the subjects showed area under the curve of 74.8％,95％ CI:0.652～0.844. Conclusion:Serum ferritin can be used as a reliable clinical biomarker to help identify intestinal failure-associated liver disease.

End-stage patients experience unbearable pain because of refractory symptoms.Palliative sedation is a form of palliative care which relieves patients' agony by lowering their consciousness.Standard palliative sedation can help patients die with dignity.It is distinct from euthanasia and does not alter the survival of patients.Sufficient palliative care is the premise of palliative sedation.Repeated and detailed clinical evaluation,as well as multidisciplinary involvement,is necessary for the standardized implementation of palliative sedation.Here,we proposed the standard process and specifications of palliative sedation in Peking Union Medical College Hospital.Furthermore,we reported a case of palliative sedation for an advanced cancer patient with refractory delirium and living pain to demonstrate its application in clinical practice.
Humans ; Anesthesia ; Pain ; Hospitals ; Palliative Care ; Universities

Eleutherococcus senticosus is one of the Dao-di herbs in northeast China. In this study, the chloroplast genomes of three E. senticosus samples from different genuine producing areas were sequenced and then used for the screening of specific DNA barcodes. The germplasm resources and genetic diversity of E. senticosus were analyzed basing on the specific DNA barcodes. The chloroplast genomes of E. senticosus from different genuine producing areas showed the total length of 156 779-156 781 bp and a typical tetrad structure. Each of the chloroplast genomes carried 132 genes, including 87 protein-coding genes, 37 tRNAs, and 8 rRNAs. The chloroplast genomes were relatively conserved. Sequence analysis of the three chloroplast genomes indicated that atpI, ndhA, ycf1, atpB-rbcL, ndhF-rpl32, petA-psbJ, psbM-psbD, and rps16-psbK can be used as specific DNA barcodes of E. senticosus. In this study, we selected atpI and atpB-rbcL which were 700-800 bp and easy to be amplified for the identification of 184 E. senticosus samples from 13 genuine producing areas. The results demonstrated that 9 and 10 genotypes were identified based on atpI and atpB-rbcL sequences, respectively. Furthermore, the two barcodes identified 23 genotypes which were named H1-H23. The haplotype with the highest proportion and widest distribution was H10, followed by H2. The haplotype diversity and nucleotide diversity were 0.94 and 1.82×10~(-3), respectively, suggesting the high genetic diversity of E. senticosus. The results of the median-joining network analysis showed that the 23 genotypes could be classified into 4 categories. H2 was the oldest haplotype, and it served as the center of the network characterized by starlike radiation, which suggested that population expansion of E. senticosus occurred in the genuine producing areas. This study lays a foundation for the research on the genetic quality and chloroplast genetic engineering of E. senticosus and further research on the genetic mechanism of its population, providing new ideas for studying the genetic evolution of E. senticosus.
DNA Barcoding, Taxonomic ; Eleutherococcus/genetics* ; Base Sequence ; Chloroplasts/genetics* ; Genetic Variation ; Phylogeny

italic>Atractylodes chinensis has important medicinal and economic values. In this study, the chloroplast genome sequences of four A. chinensis samples from different producing areas were sequenced using the Illumina platform. The specific DNA barcodes were screened and the germplasm resources of A. chinensis samples from different producing areas and the genetic diversity of the population were analyzed basing on the specific barcodes. The whole chloroplast genomes of the four A. chinensis samples had a typical cyclic tetrad structure, with 112 genes annotated. The comparative genomics results indicated that ccsA and trnC-GCA_petN were potential specific DNA barcodes for intraspecific identification of A. chinensis. Polymerase chain reaction (PCR) analysis of ccsA and trnC-GCA_petN was performed on 256 samples from 14 areas in 9 provinces, and the amplification efficiency was 100%. Sequence analysis showed that ccsA and trnC-GCA_petN had 11 and 22 variant positions, which could identify 16 and 22 haplotypes, respectively. The combined sequence analysis identified 39 haplotypes, named Hap1-Hap39, of which the most abundant and widely distributed genotype was Hap9. Haplotype diversity (H_d) = 0.896 and nucleotide diversity (Pi) = 0.002 22 indicated high genetic diversity at the species level in A. chinensis. The genetic distances of the haplotypes were 0.000 00-0.004 88, indicating that there were small genetic differences among the haplotypes. The results of phylogenetic tree analysis showed that 39 haplotypes had very close genetic relationship, and formed two obvious branches with other groups of the same genus except Atractylodes macrocephala. This study plays an important role in the identification of the origin of A. chinensis and the protection and breeding of germplasm resources.

The testis is pivotal for male reproduction, and its progressive functional decline in aging is associated with infertility. However, the regulatory mechanism underlying primate testicular aging remains largely elusive. Here, we resolve the aging-related cellular and molecular alterations of primate testicular aging by establishing a single-nucleus transcriptomic atlas. Gene-expression patterns along the spermatogenesis trajectory revealed molecular programs associated with attrition of spermatogonial stem cell reservoir, disturbed meiosis and impaired spermiogenesis along the sequential continuum. Remarkably, Sertoli cell was identified as the cell type most susceptible to aging, given its deeply perturbed age-associated transcriptional profiles. Concomitantly, downregulation of the transcription factor Wilms' Tumor 1 (WT1), essential for Sertoli cell homeostasis, was associated with accelerated cellular senescence, disrupted tight junctions, and a compromised cell identity signature, which altogether may help create a hostile microenvironment for spermatogenesis. Collectively, our study depicts in-depth transcriptomic traits of non-human primate (NHP) testicular aging at single-cell resolution, providing potential diagnostic biomarkers and targets for therapeutic interventions against testicular aging and age-related male reproductive diseases.
Animals ; Male ; Testis ; Sertoli Cells/metabolism* ; Transcriptome ; Spermatogenesis/genetics* ; Primates ; Aging/genetics* ; Stem Cells

This study aimed to provide scientific evidence for predicting quality markers(Q-markers) of Elephantopus scaber by establishing UPLC fingerprint of E. scaber from different geographical origins and determining the content of 13 major components, as well as conducting in vitro anti-cancer activity investigation of the main components. The chromatographic column used was Waters CORTECS UPLC C_(18)(2.1 mm×150 mm, 1.6 μm), and the mobile phase consisted of acetonitrile and 0.1% formic acid solution(gradient elution). The column temperature was set at 30 ℃, and the flow rate was 0.2 mL·min~(-1). The injection volume was 1 μL, and the detection wavelength was 240 nm. The UPLC fingerprint of E. scaber was fitted using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 edition) to determine common peaks, evaluate similarity, identify and determine the content of major components. The CCK-8 assay was used to explore the inhibitory effect of the main components on the proliferation of lung cancer cells. The results showed that in the established UPLC fingerprint of E. scaber, 35 common peaks were identified. Thirteen major components, including neochlorogenic acid(peak 1), chlorogenic acid(peak 2), cryptochlorogenic acid(peak 3), caffeic acid(peak 4), schaftoside(peak 6), galuteolin(peak 9), isochlorogenic acid B(peak 10), isochlorogenic acid A(peak 12), isochlorogenic acid C(peak 18), deoxyelephantopin(peak 28), isodeoxyelephantopin(peak 29), isoscabertopin(peak 31), and scabertopin(peak 32) were identified and quantified, and a quantitative analysis method was established. The results of the in vitro anti-cancer activity study showed that deoxyelephantopin, isodeoxyelephantopin, isoscabertopin, and scabertopin in E. scaber exhibited inhibition rates of lung cancer cell proliferation exceeding 80% at a concentration of 10 μmol·L~(-1), higher than the positive drug paclitaxel. These results indicate that the fingerprint of E. scaber is highly characteristic, and the quantitative analysis method is accurate and stable, providing references for the research on quality standards of E. scaber. Four sesquiterpene lactones in E. scaber show significant anti-cancer activity and can serve as Q-markers for E. scaber.
Humans ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/chemistry* ; Asteraceae/chemistry* ; Lung Neoplasms/drug therapy*