An Intelligent Hydrogel Platform with Triple-Triggered On-Demand Release for Accelerating Diabetic Wound Healing.

The hydrogel platform with intelligent drug delivery system possesses great potential in the treatment of diabetic wounds. Nevertheless, the intelligent elimination of reactive oxygen species (ROS) remains a formidable challenge in facilitating diabetic wound healing. Herein, a hydrogel platform with triple-triggered on-demand release is constructed to intelligently scavenge ROS and modulate the wound microenvironment to accelerate diabetic wound healing through the release of antioxidative factors. Specifically, the gelatin (Gel) is modified with phenylboronic acid (PBA) to obtain a glucose-sensitive Gel derivative (Gel-BA), which is mixed with oxidized dextran (ODex) and the strong antioxidant myricetin (MY) to swiftly generate a hydrogel platform (OGM). Significantly, the smart release of MY from the hybrid hydrogel under inflammatory conditions intelligently eliminates ROS, effectively alleviating oxidative stress and promoting angiogenic reprogramming of the wound immune microenvironments by activating the Nrf2 pathway. In summary, in vitro and in vivo studies reveal that the OGM hydrogel platform significantly promotes cell proliferation, migration, and tube formation and greatly accelerates diabetic wound healing, offering a local-specific triple-response drug release strategy for the treatment of diabetic wound management.

Few-shot learning to identify atypical endometrial hyperplasia and endometrial cancer based on transvaginal ultrasonic images.

Objective: It is challenging to accurately distinguish atypical endometrial hyperplasia (AEH) and endometrial cancer (EC) under routine transvaginal ultrasonic (TVU) detection. Our research aims to use the few-shot learning (FSL) method to identify non-atypical endometrial hyperplasia (NAEH), AEH, and EC based on limited TVU images. Methods: The TVU images of pathologically confirmed NAEH, AEH, and EC patients (n = 33 per class) were split into the support set (SS, n = 3 per class) and the query set (QS, n = 30 per class). Next, we used dual pretrained ResNet50 V2 which pretrained on ImageNet first and then on extra collected TVU images to extract 1*64 eigenvectors from the TVU images in SS and QS. Then, the Euclidean distances were calculated between each TVU image in QS and nine TVU images of SS. Finally, the k-nearest neighbor (KNN) algorithm was used to diagnose the TVU images in QS. Results: The overall accuracy and macro precision of the proposed FSL model in QS were 0.878 and 0.882 respectively, superior to the automated machine learning models, traditional ResNet50 V2 model, junior sonographer, and senior sonographer. When identifying EC, the proposed FSL model achieved the highest precision of 0.964, the highest recall of 0.900, and the highest F1-score of 0.931. Conclusions: The proposed FSL model combining dual pretrained ResNet50 V2 eigenvectors extractor and KNN classifier presented well in identifying NAEH, AEH, and EC patients with limited TVU images, showing potential in the application of computer-aided disease diagnosis.

Evaluation of fetal cardiac morphology and function by fetal heart quantification technique in the normal second and third trimesters.

Background: The study of fetal heart is receiving increasing attention. Fetal heart quantification (Fetal HQ) technology is a new speckle tracking technology that can analyze the 24-segment morphology and function of fetal ventricles. This study aims to use Fetal HQ to assess the changes in the structure and function of the fetal heart in normal mid to late pregnancy, providing a foundation for the clinical application of fetal cardiac speckle tracking technology. Methods: The heart size, global sphericity index (GSI), left ventricular [stroke volume (SV)], cardiac output (CO), ejection fraction (EF), global longitudinal strain (GLS), fractional area change (FAC), 24-segment end-diastolic diameter (EDD), sphericity index (SI) and fractional shortening (FS) of the two ventricles of 500 normal pregnant fetuses were evaluated by Fetal HQ. The subjects were divided into 5 groups according to gestational weeks (GA), and the changes of fetal heart morphology and function were observed. P<0.05 indicated the statistically significant difference. Results: The fetal heart rate decreased gradually with the increase of GA (P<0.05). The size parameters of the fetal heart and two ventricles gradually increased with increasing GA (P<0.05). The 24 segments EDD of both ventricles increased with increasing GA (P<0.05), while the EDD increased first and then decreased from the ventricle base to the apex. The GSI and the 24 segments SI of two ventricles were basically not significantly different among the groups (P>0.05). The EF, GLS, FAC of the left ventricle and the GLS, FAC of the right ventricle decreased with the increase of GA (P<0.05), and SV and CO increased with increasing GA (P<0.05). The 24 segments FS of the left ventricle showed a downward trend with the increase of GA and gradually increased from the base to the apex. The FS of most segments of the right ventricle decreased with the increase of the GA and increased first and then decreased from the base to the apex. Conclusions: The whole and segmental size parameters of fetal heart can quantitatively evaluate the growth and development of fetal heart; the GSI and segmental SI are reliable morphological indexes for evaluating fetal heart; fetal ventricular function parameters EF, FAC, GLS and segmental FS can evaluate fetal cardiac function. The Fetal HQ technique can help us to evaluate the heart growth and development of normal fetuses in the second and third trimester of pregnancy.

Comparison of the Prevention of Esophageal Stricture Between Oral Prednisolone Alone and Oral Prednisolone Combined with Nasogastric Tube in Superficial Esophageal Cancer After Endoscopic Submucosal Dissection.

BACKGROUND/AIMS:  There is a lack of effective and safe methods for preventing esophageal stricture after large endoscopic submucosal dissection (ESD) in patients with superficial esophageal cancer. We aimed to compare the effectiveness of oral prednisolone alone versus a combination of oral prednisolone and nasogastric tube in preventing esophageal stricture following extensive ESD. MATERIALS AND METHODS:  We retrospectively gathered clinical data from a single center on patients with early esophageal cancer who underwent ESD. Patients were categorized into 2 groups: the steroid group (receiving only oral prednisolone) and the steroid+nasogastric tube retention (NGT) group. We analyzed the incidence of esophageal stricture and identified risk factors for its development. RESULTS:  The study included 79 patients, with 30 in the steroid group and 49 in the steroid+NGT group. The incidence of stricture was significantly higher in the steroid group (9/30, 30.0%) compared to the steroid+NGT group (3/49, 6.1%) (P = .004). Notably, we observed a significant difference in the stricture rates between the 2 groups, particularly in patients with a complete circumferential defect (100% and 16.7%) (P = .015). Multivariate logistic regression analysis revealed that a full circumferential defect of the esophageal mucosa (OR 12.501; 95% CI 1.907, 81.047; P = .008), invasion depth beyond the lamina propria (OR 5.635; 95% CI 1.039, 30.559; P = .045), and the absence of NGT retention (OR 12.896; 95% CI 2.099, 79.219; P = .006) were independent risk factors predicting the development of a stricture. CONCLUSION:  The combination of steroids with NGT retention is more effective than using oral steroids alone in preventing esophageal stricture after extensive ESD.

Alternative splicing regulation and its therapeutic potential in bladder cancer.

Bladder cancer is one of the leading causes of mortality globally. The development of bladder cancer is closely associated with alternative splicing, which regulates human gene expression and enhances the diversity of functional proteins. Alternative splicing is a distinctive feature of bladder cancer, and as such, it may hold promise as a therapeutic target. This review aims to comprehensively discuss the current knowledge of alternative splicing in the context of bladder cancer. We review the process of alternative splicing and its regulation in bladder cancer. Moreover, we emphasize the significance of abnormal alternative splicing and splicing factor irregularities during bladder cancer progression. Finally, we explore the impact of alternative splicing on bladder cancer drug resistance and the potential of alternative splicing as a therapeutic target.

On the shoulder of ADC: The development of 124I-IMMU-132, an iodine-124-labelled Trop-2-targeting molecular probe for micro-PET imaging.

BACKGROUND: Trop-2 is closely related to the development and progression of a variety of tumours and poor prognosis. This study aimed to construct an iodine-124 (124I)-labelled antibody-drug conjugate (ADC) positron emission tomography (PET) probe which could noninvasively image Trop-2 in vivo, providing an important method for the diagnosis of tumours with high Trop-2 expression in clinical practice and monitoring their treatment. METHODS: In this study, a novel Trop-2-targeting molecular probe, 124I-IMMU-132, was constructed to better reveal the expression of Trop-2. The targeting and binding abilities of the probe to Trop-2-positive tumours were investigated in Capan-1/MDA-MB-468/Mcf-7 cells and their animal models. RESULTS: The constructed 124I-IMMU-132 probe maintained both reliable radiochemical characteristics and binding affinity (Kd = 2.200 nmol/L). The uptake of the probe by Trop-2-positive Capan-1/MDA-MB-468 cells increased in a time-dependent manner. The probe bound specifically to Capan-1/MDA-MB-468 tumours in vivo. The SUVmax Tumour/muscle ratio gradually increased with time, from 4.30 ± 0.55-10.78 ± 1.80 (p < 0.01) in the Capan-1 model and from 8.84 ± 0.95-32.20 ± 2.9 (p < 0.001) in the MDA-MB-468 model. The biodistribution and pharmacokinetics of 124I-IMMU-132 in a mouse model were consistent with the imaging results, and the dosimetry estimation in humans was acceptable. CONCLUSIONS: 124I-IMMU-132 PET is a promising imaging technique for delineating Trop-2-positive tumours. It has great potential in early diagnosis and targeted selection of patients that could benefit from its application.

Ultrasound diagnostic of intrauterine adhesions: Systematic review and meta-analysis.

PURPOSE: To summarize and compare the accuracy of transvaginal ultrasound (TVS), 3D-TVS, and sonohysterography (SHG) for the diagnosis of intrauterine adhesions (IUA). METHODS: The computer searches databases such as web of science, Medline, EMBASE, and PubMed collecting diagnostic studies of IUA via ultrasound. The retrieval time was included from inception to January 1, 2023. Two researchers independently screened the literature, extracted information, and used RevMan 5.3 to complete an assessment of the risk of bias in the included literature. Meta-analysis of included studies using Stata 16.0 and Meta Disc 1.4 software. RESULTS: Thirteen studies were included. The analysis results of 2D-TVS are The sensitivity (SEN): 0.54 (95% CI [0.28078]), specificity (SPE): 0.96 (95% CI [0.78, 0.99]), and the area (AUC) under the operating characteristic curve (SROC): 0.83 (95% CI [0.80, 0.86]); the SEN, SPE, and AUC of 3D-TVS are: 0.96 (95% CI [0.90, 0.98]), 0.84 (95% CI [0.68, 0.93]), 0.97 (95% CI [0.95, 0.98]); and the SEN, SPE, and AUC of SHG are: 0.74 (95% CI [0.53, 0.88]), 0.97 (95% CI [0.94, 0.99]), 0.95 (95% CI [0.93, 0.97]). CONCLUSION: The current results show that the diagnostic value of 3D-TVS for IUA is better than SHG and significantly higher than that of 2D-TVS. However, the analysis of subgroups is still limited by the number of included studies. In order to better explore the application of ultrasound in intrauterine adhesion, more high-quality studies are needed in the future.

AgriGAN: unpaired image dehazing via a cycle-consistent generative adversarial network for the agricultural plant phenotype.

Artificially extracted agricultural phenotype information exhibits high subjectivity and low accuracy, while the utilization of image extraction information is susceptible to interference from haze. Furthermore, the effectiveness of the agricultural image dehazing method used for extracting such information is limited due to unclear texture details and color representation in the images. To address these limitations, we propose AgriGAN (unpaired image dehazing via a cycle-consistent generative adversarial network) for enhancing the dehazing performance in agricultural plant phenotyping. The algorithm incorporates an atmospheric scattering model to improve the discriminator model and employs a whole-detail consistent discrimination approach to enhance discriminator efficiency, thereby accelerating convergence towards Nash equilibrium state within the adversarial network. Finally, by training with network adversarial loss + cycle consistent loss, clear images are obtained after dehazing process. Experimental evaluations and comparative analysis were conducted to assess this algorithm's performance, demonstrating improved accuracy in dehazing agricultural images while preserving detailed texture information and mitigating color deviation issues.

Comparative Transcriptomics of the Entomopathogenic Fungus Beauveria bassiana Grown on Aerial Surface and in Liquid Environment.

Beauveria bassiana, the causative agent of arthropod, proliferates in the host hemolymph (liquid environment) and shits to saprotrophic growth on the host cadaver (aerial surface). In this study, we used transcriptomic analysis to compare the gene expression modes between these two growth phases. Of 10,366 total predicted genes in B. bassiana, 10,026 and 9985 genes were expressed in aerial (AM) and submerged (SM) mycelia, respectively, with 9853 genes overlapped. Comparative analysis between two transcriptomes indicated that there were 1041 up-regulated genes in AM library when compared with SM library, and 1995 genes were down-regulated, in particular, there were 7085 genes without significant change in expression between two transcriptomes. Furthermore, of 25 amidase genes (AMD), BbAMD5 has high expression level in both transcriptomes, and its protein product was associated with cell wall in aerial and submerged mycelia. Disruption of BbAMD5 significantly reduced mycelial hydrophobicity, hydrophobin translocation, and conidiation on aerial plate. Functional analysis also indicated that BbAmd5 was involved in B. bassiana blastospore formation in broth, but dispensable for fungal virulence. This study revealed the high similarity in global expression mode between mycelia grown under two cultivation conditions.

Comparison of an Affibody-based Molecular Probe and 18F-FDG for Detecting HER2-Positive Breast Cancer at PET/CT.

Background Human epidermal growth factor receptor 2 (HER2) affibody-based tracers could be an alternative to nonspecific radiotracers for noninvasive detection of HER2 expression in breast cancer lesions at PET/CT. Purpose To compare an affibody-based tracer, Al18F-NOTA-HER2-BCH, and fluorine 18 (18F) fluorodeoxyglucose (FDG) for detecting HER2-positive breast cancer lesions on PET/CT images. Materials and Methods In this prospective study conducted from June 2020 to July 2023, participants with HER2-positive breast cancer underwent both Al18F-NOTA-HER2-BCH and 18F-FDG PET/CT. HER2 positivity was confirmed with pathologic assessment (immunohistochemistry test results of 3+, or 2+ followed by fluorescence in situ hybridization, indicated HER2 amplification). Two independent readers visually assessed the uptake of tracers on images. Lesion uptake was quantified using the maximum standardized uptake value (SUVmax) and target to background ratio (TBR) and compared using a general linear mixed model. Results A total of 42 participants (mean age, 56.3 years ± 10.1 [SD]; 41 female) with HER2-positive breast cancer were included; 42 (100%) had tumors that were detected with Al18F-NOTA-HER2-BCH PET/CT and 40 (95.2%) had tumors detected with 18F-FDG PET/CT. Primary tumors in two of 21 participants, lymph node metastases in four of 21 participants, bone metastases in four of 15 participants, and liver metastases in three of nine participants were visualized only with Al18F-NOTA-HER2-BCH. Lung metastasis in one of nine participants was visualized only with 18F-FDG. Al18F-NOTA-HER2-BCH enabled depiction of more suspected HER2-positive primary tumors (26 vs 21) and lymph node (170 vs 130), bone (92 vs 66), and liver (55 vs 27) metastases than 18F-FDG. The SUVmax and TBR values of primary tumors and lymph node, bone, and liver metastases were all higher on Al18F-NOTA-HER2-BCH images than on 18F-FDG images (median SUVmax range, 10.4-13.5 vs 3.4-6.2; P value range, <.001 to .02; median TBR range, 2.7-17.6 vs 1.2-7.8; P value range, <.001 to .001). No evidence of differences in the SUVmax and TBR for chest wall or lung metastases was observed between Al18F-NOTA-HER2-BCH and 18F-FDG (P value range, .06 to .53). Conclusion PET/CT with the affibody-based tracer Al18F-NOTA-HER2-BCH enabled detection of more primary lesions and lymph node, bone, and liver metastases than PET/CT using 18F-FDG. ClinicalTrials.gov Identifier: NCT04547309 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Ulaner in this issue.

Two ferrous iron transporter-like proteins independently participate in asexual development under iron limitation and virulence in Beauveria bassiana.

Reductive assimilation pathway involves ferric reductase and ferrous iron transporter, which is integral for fungal iron acquisition. A family of ferric reductase-like proteins has been functionally characterized in the filamentous entomopathogenic fungus Beauveria bassiana. In this investigation, two ferrous iron transporter-like proteins (Ftr) were functionally annotated in B. bassiana. BbFtr1 and BbFtr2 displayed high similarity in structure and were associated with the plasma and nuclear membrane. Their losses had no negatively influence on fungal growth on various nutrients and development under the iron-replete condition. Single mutants of BbFTR1 and BbFTR2 displayed the iron-availability dependent developmental defects, and double mutant exhibited the significantly impaired developmental potential under the iron-limited conditions. In insect bioassay, the double mutant also showed the weaker virulence than either of two single disruption mutants. These results suggested that two ferrous iron transporter-like proteins function independently in fungal physiologies under the iron-deficient condition. Intriguingly, a bZIP transcription factor BbHapX was required for expression of BbFTR1 and BbFTR2 under iron-depleted conditions. This study enhances our understanding of the iron uptake system in the filamentous entomopathogenic fungi.

Genomics- and Transcriptomics-Guided Discovery of Clavatols from Arctic Fungi Penicillium sp. MYA5.

Clavatols exhibit a wide range of biological activities due to their diverse structures. A genome mining strategy identified an A5cla cluster from Penicillium sp. MYA5, derived from the Arctic plant Dryas octopetala, is responsible for clavatol biosynthesis. Seven clavatols, including one new clavatol derivate named penicophenone F (1) and six known clavatols (2-7), were isolated from Penicillium sp. MYA5 using a transcriptome mining strategy. These structures were elucidated by comprehensive spectroscopic analysis. Antibacterial, aldose reductase inhibition, and siderophore-producing ability assays were conducted on compounds 1-7. Compounds 1 and 2 demonstrated inhibitory effects on the ALR2 enzyme with inhibition rates of 75.3% and 71.6% at a concentration of 10 µM, respectively. Compound 6 exhibited antibacterial activity against Staphylococcus aureus and Escherichia coli with MIC values of 4.0 µg/mL and 4.0 µg/mL, respectively. Additionally, compounds 1, 5, and 6 also showed potential iron-binding ability.

Soluble Fibrinogen-Like Protein 2 Downregulation and Th17/Treg Imbalance in a Taurocholate-Induced Murine Experimental Model of Severe Acute Pancreatitis.

BACKGROUND: Severe acute pancreatitis (SAP) is associated with tremendous systemic inflammation, T-helper 17 (Th17) cells, and regulatory T (Treg) cells play an essential role in the inflammatory responses. Meanwhile, soluble fibrinogen-like protein 2 (Sfgl2) is a critical immunosuppressive effector cytokine of Treg cells and modulates immune responses. However, the impact of SAP induction on Sfgl2 expression and the role of Sfgl2 in immunomodulation under SAP conditions are largely unknown. METHODS: A taurocholate-induced mouse SAP model was established. The ratios of CD4+CD25+Foxp3+ Treg cells or CD4+IL-17+ Th17 cells in blood and pancreatic tissues as well as surface expression of CD80, CD86, and major histocompatibility complex class II (MHC-II) were determined by flow cytometry. Gene mRNA expression was determined by qPCR. Serum amylase and soluble factors were quantitated by commercial kits. Bone marrow-derived dendritic cells (DCs) were generated, and NF-κB/p65 translocation was measured by immunofluorescence staining. RESULTS: SAP induction in mice decreased the Th17/Treg ratio in the pancreatic tissue and increased the Th17/Treg ratio in the peripheral blood. In addition, SAP was associated with a reduced level of Sfgl2 in the pancreatic tissue and blood: higher levels of serum IL-17, IL-2, IFN-α, and TNF-α, and lower levels of serum IL-4 and IL-10. Furthermore, the SAP-induced reduction in Sfgl2 expression was accompanied by dysregulated maturation of bone marrow-derived DCs. CONCLUSIONS: SAP causes reduced Sfgl2 expression and Th17/Treg imbalance, thus providing critical insights for the development of Sfgl2- and Th17/Treg balance-targeted immunotherapies for patients with SAP.

Structural basis of the monkeypox virus mRNA cap N7 methyltransferase complex.

The global outbreak of Mpox, caused by the monkeypox virus (MPXV), has attracted international attention and become another major infectious disease event after COVID-19. The mRNA cap N7 methyltransferase (RNMT) of MPXV methylates the N7 position of the added guanosine to the 5'-cap structure of mRNAs and plays a vital role in evading host antiviral immunity. MPXV RNMT is composed of the large subunit E1 and the small subunit E12. How E1 and E12 of MPXV assembly remains unclear. Here, we report the crystal structures of E12, the MTase domain of E1 with E12 (E1CTD-E12) complex, and the E1CTD-E12-SAM ternary complex, revealing the detailed conformations of critical residues and the structural changes upon E12 binding to E1. Functional studies suggest that E1CTD N-terminal extension (Asp545-Arg562) and the small subunit E12 play an essential role in the binding process of SAM. Structural comparison of the AlphaFold2-predicted E1, E1CTD-E12 complex, and the homologous D1-D12 complex of vaccinia virus (VACV) indicates an allosteric activating effect of E1 in MPXV. Our findings provide the structural basis for the MTase activity stimulation of the E1-E12 complex and suggest a potential interface for screening the anti-poxvirus inhibitors.

Role of long non-coding RNA in inflammatory bowel disease.

Inflammatory bowel disease (IBD) is a group of recurrent chronic inflammatory diseases, including Crohn's disease (CD) and ulcerative colitis (UC). Although IBD has been extensively studied for decades, its cause and pathogenesis remain unclear. Existing research suggests that IBD may be the result of an interaction between genetic factors, environmental factors and the gut microbiome. IBD is closely related to non-coding RNAs (ncRNAs). NcRNAs are composed of microRNA(miRNA), long non-coding RNA(lnc RNA) and circular RNA(circ RNA). Compared with miRNA, the role of lnc RNA in IBD has been little studied. Lnc RNA is an RNA molecule that regulates gene expression and regulates a variety of molecular pathways involved in the pathbiology of IBD. Targeting IBD-associated lnc RNAs may promote personalized treatment of IBD and have therapeutic value for IBD patients. Therefore, this review summarized the effects of lnc RNA on the intestinal epithelial barrier, inflammatory response and immune homeostasis in IBD, and summarized the potential of lnc RNA as a biomarker of IBD and as a predictor of therapeutic response to IBD in the future.

Preclinical Evaluation and Pilot Clinical Study of 18F-Labeled Inhibitor Peptide for Noninvasive Positron Emission Tomography Mapping of Angiotensin Converting Enzyme 2.

Angiotensin-converting enzyme 2 (ACE2) is the main molecular target for coronavirus SARS-CoV-2 to enter cells. Molecularly specific tracers that bind to ACE2 with high affinity can be used to determine the tissue distribution of this important receptor, noninvasively. A novel targeting PET imaging probe, [18F]AlF-DX600-BCH, was developed to detect the in vivo expression of ACE2 and monitor response to therapy. Preclinical experiments, including biodistribution, PET imaging, and tissue section analysis, were conducted after tests of in vitro and in vivo stability and pharmacokinetics. The agent was advanced to clinical evaluation in 10 volunteers who received [18F]AlF-DX600-BCH PET/CT at 1 and 2 h after injection (NCT04542863). Preclinical results of both biodistribution and PET demonstrated [18F]AlF-DX600-BCH accumulation in rat kidney (standardized uptake value; SUVkidney/normal > 50), along with specific uptake in testes (SUVtestis/normal > 10) tissues. Kidney, gastrointestinal, and bronchial cell labeling were correlated to ACE2 positive by immunohistochemistry (IHC) staining. In clinical imaging, significant tracer accumulation was predominantly observed in the urinary and reproductive system (SUVrenal cortex = 32.00, SUVtestis = 4.56), and the conjunctiva and nasal mucosa saw elevated uptake in several cases. This work is the first report of a radioisotope probe, [18F]AlF-DX600-BCH, targeting ACE2 with promising preliminary preclinical and translational outlook, thereby demonstrating the potential of noninvasive mapping of ACE2.

Endoscopic Ultrasound-Guided Fine Needle Aspiration has High Diagnostic Value in the Diagnosis of Solid Pancreatic Lesions.

Objective: To analyze the potential factors influencing the diagnostic capability of endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) and provide medication treatment recommendations for patients with pancreatic solid mass lesions. Methods: A retrospective analysis was conducted on clinical data of 92 patients with pancreatic solid mass lesions who underwent EUS-FNA examination after detection by imaging studies. The diagnostic effectiveness of EUS-FNA was evaluated based on cytological or histological examination results. Logistic regression analysis was subsequently performed to analyze the potential factors influencing the diagnostic capability of EUS-FNA in patients with pancreatic solid mass lesions. Results: EUS-FNA was successfully performed in all 92 patients, with a puncture success rate of 100.00%. Only one patient experienced transient hyperamylasemia, which resolved with conservative treatment. No other serious complications were observed. Among the 92 patients, 70 patients obtained a definite diagnosis after EUS-FNA (Group A), while 22 patients did not achieve a definite diagnosis (Group B) after the procedure. Univariate analysis showed that lesion size, dilation of the pancreatic duct or bile duct, negative pressure, and suction method were significantly different between Group A and Group B (P < .05). Multivariate logistic regression analysis revealed that lesion size, dilation of the pancreatic duct or bile duct, negative pressure, and suction method were potential factors influencing the diagnostic ability of EUS-FNA in patients with solid pancreatic lesions (P < .05). Conclusion: EUS-FNA has a high diagnostic value in the evaluation of solid pancreatic lesions. Lesion size, dilation of the pancreatic duct or bile duct, negative pressure, and suction method are potential factors influencing the diagnostic ability of EUS-FNA in patients with solid pancreatic lesions. In terms of medical treatment, specific treatment methods and drug choices should be based on a comprehensive evaluation of the nature of the patient's lesions and the severity of the condition.

Multi-omic profiling reveals potential biomarkers of hepatocellular carcinoma prognosis and therapy response among mitochondria-associated cell death genes in the context of 3P medicine.

Background: Cancer cell growth, metastasis, and drug resistance are major challenges in treating liver hepatocellular carcinoma (LIHC). However, the lack of comprehensive and reliable models hamper the effectiveness of the predictive, preventive, and personalized medicine (PPPM/3PM) strategy in managing LIHC. Methods: Leveraging seven distinct patterns of mitochondrial cell death (MCD), we conducted a multi-omic screening of MCD-related genes. A novel machine learning framework was developed, integrating 10 machine learning algorithms with 67 different combinations to establish a consensus mitochondrial cell death index (MCDI). This index underwent rigorous evaluation across training, validation, and in-house clinical cohorts. A comprehensive multi-omics analysis encompassing bulk, single-cell, and spatial transcriptomics was employed to achieve a deeper insight into the constructed signature. The response of risk subgroups to immunotherapy and targeted therapy was evaluated and validated. RT-qPCR, western blotting, and immunohistochemical staining were utilized for findings validation. Results: Nine critical differentially expressed MCD-related genes were identified in LIHC. A consensus MCDI was constructed based on a 67-combination machine learning computational framework, demonstrating outstanding performance in predicting prognosis and clinical translation. MCDI correlated with immune infiltration, Tumor Immune Dysfunction and Exclusion (TIDE) score and sorafenib sensitivity. Findings were validated experimentally. Moreover, we identified PAK1IP1 as the most important gene for predicting LIHC prognosis and validated its potential as an indicator of prognosis and sorafenib response in our in-house clinical cohorts. Conclusion: This study developed a novel predictive model for LIHC, namely MCDI. Incorporating MCDI into the PPPM framework will enhance clinical decision-making processes and optimize individualized treatment strategies for LIHC patients. Supplementary Information: The online version contains supplementary material available at 10.1007/s13167-024-00362-8.

Environmental regulation influences urban land green use efficiency: Incentive or disincentive effect? Evidence from China.

China's crude economic development has led to high pollution and inefficiency of urban land use. Environmental regulation (Er) is crucial for governments to promote green growth and efficient land use. Using a dataset of 271 cities in China from 2011 to 2020, this paper investigates the threshold effect of green innovation in science and technology and industrial structure optimization on Er impacts of urban land green use efficiency (Ulee). The results show that (1) Er positively affects Ulee. (2) There is a threshold effect of green innovation in science and technology (Gin) and industrial structure upgrading (Ind) in Er affecting Ulee, and the force decreases as the threshold value increases. (3) Within the examination of heterogeneity, the impact of Er on Ulee is more significant in eastern, high levels of urbanization and large cities, but the force of action is smaller. Based on the nonlinear force of Er, it is crucial to maximize the effectiveness of green land use by giving full play to the interactive synergistic effect of the "combination box" and dynamically and flexibly adjusting the intensity of Er according to the time, place, and state of urban development.