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Background: Radiomics strategies exhibit great promise in the context of thyroid nodule diagnosis. This study aimed to compare radiomics features of different sizes of medullary thyroid carcinoma (MTC) and papillary thyroid carcinoma (PTC) tumors and to compare the efficiency of radiomics approaches as a means of differentiating between these tumor types. Methods: In total, 86 MTC and 330 PTC nodules were divided into the macronodular (>10 mm) and micronodular (⩽10 mm) categories. The radiomics features of these nodules were analyzed to identify independent prognosis factors and evaluate the efficacy of individual and combined indicators as predictors of tumor type. Results: In total, 12 radiomics features were found to differ significantly between MTC and PTC macronodules, while 6 differed significantly between MTC and PTC micronodules. Shape 2D_Sphericity, firstorder_Skewness, glrlm_RunLengthNonUniformity, glszm_GrayLevelNonUniformity, and glszm_SizeZoneNonUniformity were features that were independently associated with the differential diagnoses of MTC and PTC macronodules. Receiver operating characteristic (ROC) curve analyses of the efficacy of these 5 single indicators and a combined indicator composed thereof yielded area under the curve (AUC) values of 0.621, 0.678, 0.704, 0.762, 0.747, and 0.824, respectively, with respective sensitivities of 55.3%, 43.0%, 53.1%, 56.3%, 46.9%, and 65.6%, and respective specificity values of 65.6%, 89.1%, 81.6%, 88.8%, 95.0%, and 91.1%. The glrlm_RunEntropy and glszm_SizeZoneNonUniformity features were identified as independent factors associated with the differential diagnoses of MTC and PTC micronodules. Receiver operating characteristic curve analyses of the efficacy of these 2 single indicators and a combined indicator composed thereof yielded respective AUC values of 0.678, 0.678, and 0.771; Sensitivities of 57.0%, 72.7%, and 72.7%; and specificities of 77.3%, 64.2%, and 77.5%. Conclusions: A range of different radiomics features can enable effective differentiation between MTC and PTC nodules of different sizes. Moreover, analyses of combinations of radiomics features yielded diagnostic efficiency values higher than those associated with single radiomics features, highlighting a more reliable approach to diagnosing MTC and PTC tumors. [ABSTRACT FROM AUTHOR]

With the rapid development of the Internet of Vehicles (IoV), a lot of Vehicle-to-Everything (V2X) applications have sprung up. To tackle the conflict between the resource-hungry V2X applications and the resource-constrained vehicles, most works focus on the computation offloading problem, which is significant to V2X applications by bringing computation tasks from the vehicles to the edge or cloud infrastructure. However, the dynamic network conditions caused by the mobility of vehicles will bring task migration and huge additional costs, resulting in poor latency performance. Motivated by the aforementioned problem, a traffic routing-based computation offloading scheme in cybertwin-driven IoV for V2X applications is proposed, in which cybertwin represents the network hardware devices and the network software functions. Moreover, according to the cybertwin-driven IoV network architecture, the traffic routing-based computation offloading problem is formulated. Finally, to avoid the inconsistency between the data transmission direction and the vehicle’s movement direction, the enhanced Heterogeneous Earliest Finish Time (eHEFT) algorithm is designed, which introduces the gradient routing into the traditional HEFT algorithm. Performance evaluation results validate that the proposed joint optimization scheme is indeed capable of reducing latency. [ABSTRACT FROM AUTHOR]

Background: Early neurological deterioration, a common complication in patients with intracerebral hemorrhage, is associated with poor outcomes. Despite the fact that the prevalence and predictors of early neurological impairment are widely addressed, few studies have consolidated these findings. This study aimed to systematically investigate the prevalence and predictors of early neurological deterioration. Methods: The PubMed, Embase, Cochrane Library, CIHNAL, and Web of Science databases were systematically searched for relevant studies from the inception to December 2023. The data were extracted using a predefined worksheet. Quality assessment was conducted using the Newcastle–Ottawa Scale. Two reviewers independently performed the study selection, data extraction, and quality appraisal. The pooled effect size and 95% confidence intervals were calculated using the STATA 17.0 software package. Results: In total, 32 studies and 5,014 patients were included in this meta-analysis. The prevalence of early neurological deterioration was 23% (95% CI 21–26%, p < 0.01). The initial NIHSS score (OR = 1.24, 95% CI 1.17, 1.30, p < 0.01), hematoma volume (OR = 1.07, 95% CI 1.06, 1.09, p < 0.01), intraventricular hemorrhage (OR = 3.50, 95% CI 1.64, 7.47, p < 0.01), intraventricular extension (OR = 3.95, 95% CI 1.96, 7.99, p < 0.01), hematoma expansion (OR = 9.77, 95% CI 4.43, 17.40, p < 0.01), and computed tomographic angiography spot sign (OR = 5.77, 95% CI 1.53, 20.23, p = 0.01) were predictors of early neurological deterioration. The funnel plot and Egger's test revealed significant publication bias (p < 0.001). Conclusions: This meta-analysis revealed a pooled prevalence of early neurological deterioration of 23% in patients with intracerebral hemorrhage. The initial NIHSS score, hematoma volume, intraventricular hemorrhage, intraventricular expansion, hematoma expansion, and spot sign enhanced the probability of early neurological deterioration. These findings provide healthcare providers with an evidence-based basis for detecting and managing early neurological deterioration in patients with intracerebral hemorrhage. [ABSTRACT FROM AUTHOR]

The landscape of tRNA–viral codons regulates viral adaption at the translational level, presumably through adapting to host codon usage or modulating the host tRNAome. We found that the major zoonotic genotype of hepatitis E virus (HEV) has not adapted to host codon usage, prompting exploration of the effects of HEV infection on the host tRNAome. However, tRNAome quantification is largely impeded by the extremely short sequences of tRNAs and redundancy of tRNA genes. Here, we present a length‐extension and stepwise simplified qPCR method that utilizes a universal DNA/RNA hybrid tRNA adaptor and degenerate primers. Using this novel methodology, we observe that HEV infection dramatically reprograms the hepatic tRNAome, which is likely to facilitate translation of viral RNAs. This tRNAome quantification method bears broad implications for future tRNA research and possibly tRNA‐based diagnostics. [ABSTRACT FROM AUTHOR]

Abstract: Interferons (IFNs) with antiviral and immune-stimulatory functions have been widely used in prevention and treatment of hepatocellular carcinoma (HCC). Signal transducer and activator of transcription 1 (STAT1) is a key element of the IFN signaling, and the function of STAT1 is critically determined by its phosphorylation state. This study aims to understand the functions of phosphorylated (p-) and unphosphorylated (u-) STAT1 in HCC. We found that u-STAT1 is significantly elevated in patient HCC tumor tissues and predominantly expressed in cytoplasm; while p-STAT1 is absent. Loss of u-STAT1 potently arrested cell cycle and inhibited cell growth in HCC cells. Induction of p-STAT1 by IFN-α treatment effectively triggers the expression of interferon-stimulated genes (ISGs), but has moderate effect on HCC cell growth. Interestingly, both u-STAT1 and p-STAT1 are induced by IFN-α, through with distinct time-dependent process. Furthermore, the ISG induction patterns mediated by p-STAT1 and u-STAT1 are also distinct. Importantly, artificial blocking of the induction of u-STAT1, but not p-STAT1, sensitizes HCC cells to treatment of IFNs. Therefore, p-STAT1 and u-STAT1 exert dichotomal functions and coordinately regulate the responsiveness to IFN treatment in HCC.Key Messages: STAT1 is upregulated and predominantly presented as u-STAT1 in HCC, while p-STAT1 is absent.U-STAT1 sustains but p-STAT1 inhibits HCC growth.The dynamic change of phosphorylation state of STAT1 control the responsiveness to IFN treatment. [ABSTRACT FROM AUTHOR]

Purpose: The potent anticancer efficacy of oncolytic viruses has been verified in Clinic in recent years. Cisplatin (DDP) is one of most common chemotherapeutic drugs, but is accompanied by side effects and drug resistance. Our previous studies have shown the strategy of cancer -targeting gene-viro-therapy (CTGVT) mediated by the oncolytic virus ZD55 containing the XAF1 cDNA (ZD55-XAF1), which exhibited potent antitumor effects in various tumor cells and no apparent toxicities on normal cells. In the study, the CTGVT strategy is broadened by combining DDP with ZD55-XAF1 for growth inhibition of hepatocellular carcinoma (HCC) cells. Methods: The transgenic expression was evaluated by both in vitro and in vivo experiments, and the enhanced inhibitory effect of ZD55-XAF1 combined with cisplatin was assessed in HCC cells. The cytotoxicity on normal liver cells was evaluated by MTT assay and apoptotic cell staining. Activation of caspase-9 and PARP for apoptosis was further detected by Western blot analysis. The in vivo antitumor efficacy of combination treatment with cisplatin and ZD55-XAF1 was estimated in an HCC xenograft mouse model. Results: We found that the combination of ZD55-XAF1 and cisplatin showed enhanced inhibitory effects on the proliferation of HCC cells in vitro and tumor growth in mice. Furthermore, the combined treatment of ZD55-XAF1 and DDP decreases the chemotherapy dose needed to achieve the same inhibitory effect without overlapping toxicities on normal liver cells and induces tumor cell apoptosis via the activation of caspase-9/PARP pathway. Conclusion: Thus, these data suggest that the chemo-gene-viro-therapeutic strategy by combining ZD55-XAF1 and DDP reveals a novel therapeutic strategy for hepatocellular carcinoma. [ABSTRACT FROM AUTHOR]

Although the treatment methods for hepatocellular carcinoma (HCC) have made a great progress on patient survival rate and life quality, the HCC recurrence still is very high. To explore the novel effective anticancer strategies for HCC, the Cancer Targeting Gene-Viro-Therapy (CTGVT) strategy was applied through oncolytic virus-delivery antitumor gene. In this article, the dual-regulated oncolytic adenovirus Ad-AFP-E1A-E1B(Δ55kDa)-Mn-SOD (briefly named AD55-Mn-SOD) was constructed using a liver cancer-specific α-fetoprotein (AFP) promoter to control replication-essential E1A gene and deliver the novel tumor suppression gene Manganese superoxide dismutase (Mn-SOD). The results indicated that the constructed AD55-Mn-SOD exerted tumor-specific features, and induced dramatic cytotoxicity in HCC cells in vitro and suppress the HCC xenografted growth in nude mice. Moreover, the anticancer mechanism of AD55-Mn-SOD is due to the activation of caspase apoptotic pathway. These data suggested that AD55-Mn-SOD could become a potential anticancer agent for liver cancer. [ABSTRACT FROM AUTHOR]

Bacteria have now been harnessed to combat human diseases, especially to meet the challenge of antimicrobial resistance. Modulating the microbiome, particularly by genetically engineering the bacteria, has provided proof-of-concept as potential pharmacotherapy, but those involved in this field should engage in discussion as how to move forward. [ABSTRACT FROM AUTHOR]

CCAAT/enhancer-binding protein delta (CEBPD) is associated with the regulation of apoptosis and cell proliferation and is a candidate tumor suppressor gene. Here, we investigated its role in hepatocellular carcinoma (HCC). We observe that CEBPD mRNA expression is significantly downregulated in HCC tumors as compared with adjacent tissues. Protein levels of CEBPD are also lower in tumors relative to adjacent tissues. Reduced expression of CEBPD in the tumor correlates with worse clinical outcome. In both Huh7 and HepG2 cells, shRNA-mediated CEBPD knockdown significantly reduces cell proliferation, single cell colony formation and arrests cells in the G0/G1 phase. Subcutaneous xenografting of Huh7 in nude mice show that CEBPD knockdown results in smaller tumors. Gene expression analysis shows that CEBPD modulates interleukin-1 signaling. We conclude that CEBPD expression uncouples cancer compartment expansion and clinical outcome in HCC, potentially by modulating interleukin-1 signaling. Thus, although our results support the notion that CEBPD acts as a tumor suppressor in HCC, its action does not involve impairing compartment expansion per se but more likely acts through improving anticancer immunity. [ABSTRACT FROM AUTHOR]

BACKGROUND: The intelligent diagnosis of thyroid nodules in ultrasound image is an important research issue. Automatically locating the region of interest (ROI) of thyroid nodules and providing pre-diagnosis results can help doctors to diagnose faster and more accurate. OBJECTIVES: This study aims to propose a model, which can detect multiple nodules stably and accurately in order to avoid missed detection and misjudgment. In addition, the detection speed of the model needs to be fast for real-time diagnosis in ultrasound images. METHODS: Based on the object detection technology, we propose an accurate, robust and high-speed network with multiscale fusion strategy called Efficient-YOLO, which can realize the localization and recognition of nodules at the same time. Finally, multiple metrics are used to measure the diagnostic ability of the model. RESULTS: Experimental results conducted on 3,562 ultrasound images show that our new model greatly increases the accuracy and speed of the detection compared with the baseline model. The best mAP is 92.64%, and the fastest detection speed is 45.1 frames per second. CONCLUSIONS: This study proposed an effective method to diagnosis thyroid nodules automatically, which can meet the real-time requirements, indicating that its effectiveness and feasibility for future clinical application. [ABSTRACT FROM AUTHOR]

Three sequencing batch reactors (M1, M2, and M3) were set up to investigate the influence of different lengths of starvation time (3, 5, and 7 h) on aerobic granulation in the perspective of quorum sensing (QS). Autoinducer-2 (AI-2) level was quantified to evaluate the QS ability of aerobic granules. The results indicated that AI-2 level increased steadily during a cycle of sequencing batch reactors, suggesting that starvation was closely related to AI-2 secretion. In the long-term operation, aerobic granules cultivated using a prolonged starvation period had a better integrity and a higher level of cell adhesiveness despite a slower formation speed. With the extension of the starvation period, the total amount of extracellular polymeric substances (EPS) displayed an increasing tendency. EPS with large molecular weight (MW) also reached a higher level using a prolonged starvation period. However, a higher level of AI-2 and cell adhesiveness was observed in M2, which might be related to more stable granules. The results implied that the starvation period could trigger AI-2 secretion and promoted the production of large MW EPS, leading to cell adhesiveness enhancement and granule formation. Therefore, a combination of different starvation periods was proposed in this study in order to improve aerobic granulation. [ABSTRACT FROM AUTHOR]

Quorum sensing (QS) plays an important role in aerobic granulation while how QS system regulates the formation of aerobic granules needs further discussion. This study cultivated activated sludge in two identical sequencing batch reactors (R1 and R2) at different influent organic loading rate (OLR) strategies: R1 was operated using constant OLR (around 8.0 kg/m 3 d), while R2 was operated at alternating OLR (4.0–17.0 kg/m 3 d). Microbial aggregates appeared in R2 on day 19, while the morphology of sludge in R1 changed little compared with the initial sludge. The concentration of autoinducer-2 (AI-2) in R2 showed an ascending trend, along with the increase of cell adhesiveness. The total extracellular polymeric substances (EPS) amount and large molecular weight EPS of R2 rose steadily, which was different from R1. Some bacteria able to self-aggregate and promote EPS secretion were exclusive in R2. A mechanism about aerobic granulation at alternating OLR was proposed. [ABSTRACT FROM AUTHOR]

Background & Aims: Mature transfer RNAs (tRNA) charged with amino acids decode mRNA to synthesize proteins. Dysregulation of translational machineries has a fundamental impact on cancer biology. This study aims to map the tRNAome landscape in liver cancer patients and to explore potential therapeutic targets at the interface of charging amino acid with tRNA. Methods: Resected tumour and paired tumour‐free (TFL) tissues from hepatocellular carcinoma (HCC) patients (n = 69), and healthy liver tissues from organ transplant donors (n = 21), HCC cell lines, and cholangiocarcinoma (CC) patient‐derived tumour organoids were used. Results: The expression levels of different mature tRNAs were highly correlated and closely clustered within individual tissues, suggesting that different members of the tRNAome function cooperatively in protein translation. Interestingly, high expression of tRNA‐Lys‐CUU in HCC tumours was associated with more tumour recurrence (HR 1.1; P =.022) and worse patient survival (HR 1.1; P =.0037). The expression of Lysyl‐tRNA Synthetase (KARS), the enzyme catalysing the charge of lysine to tRNA‐Lys‐CUU, was significantly upregulated in HCC tumour tissues compared to tumour‐free liver tissues. In HCC cell lines, lysine deprivation, KARS knockdown or treatment with the KARS inhibitor cladosporin effectively inhibited overall cell growth, single cell‐based colony formation and cell migration. This was mechanistically mediated by cell cycling arrest and induction of apoptosis. Finally, these inhibitory effects were confirmed in 3D cultured patient‐derived CC organoids. Conclusions: The biological process of charging tRNA‐Lys‐CUU with lysine sustains liver cancer cell growth and migration, and is clinically relevant in HCC patients. This process can be therapeutically targeted and represents an unexplored territory for developing novel treatment strategies against liver cancer. [ABSTRACT FROM AUTHOR]

Background: Comprehensive evaluation of safety and efficacy of different combinations of direct‐acting antivirals (DAAs) in liver transplant recipients with genotype 1 (GT1) hepatitis C virus (HCV) recurrence remains limited. Therefore, we performed this systematic review and meta‐analysis in order to evaluate the clinical outcome of DAA treatment in liver transplant patients with HCV GT1 recurrence. Methods: Studies were included if they contained information of 12 weeks sustained virologic response (SVR12) after DAA treatment completion as well as treatment related complications for liver transplant recipients with GT1 HCV recurrence. Results: We identified 16 studies comprising 885 patients. The overall pooled estimate proportion of SVR12 was 93% (95% confidence interval (CI): 0.89, 0.96), with moderate heterogeneity observed (τ2 = 0.01, P < 0.01, I2=75%). High tolerability was observed in liver transplant recipients reflected by serious adverse events (sAEs) with pooled estimate proportion of 4% (95% CI: 0.01, 0.07; τ2 = 0.02, P < 0.01, I2 = 81%). For subgroup analysis, a total of five different DAA regimens were applied for treating these patients. Sofosbuvir/Ledipasvir (SOF/LDV) led the highest pooled estimate SVR12 proportion, followed by Paritaprevir/Ritonavir/Ombitasivir/Dasabuvir (PrOD), Daclatasvir (DCV)/Simeprevir (SMV) ± Ribavirin (RBV), and SOF/SMV ± RBV, Asunaprevir (ASV)/DCV. There was a tendency for favoring a higher pooled SVR12 proportion in patients with METAVIR Stage F0‐F2 of 97% (95% CI: 0.93, 0.99) compared to 85% (95% CI: 0.79, 0.90) for stage F3‐F4 (P < 0.01). There was no significant difference between LT recipients treated with or without RBV (P = 0.23). Conclusions: Direct‐acting antiviral treatment is highly effective and well‐tolerated in liver transplant recipients with recurrent GT1 HCV infection. [ABSTRACT FROM AUTHOR]

The current understanding of cancer biology and development of effective treatments for cancer remain far from satisfactory. This in turn heavily relies on the availability of easy and robust model systems that resemble the architecture/physiology of the tumors in patients to facilitate research. Cancer research in vitro has mainly been based on the use of immortalized 2D cancer cell lines that deviate in many aspects from the original primary tumors. The recent development of the organoid technology allowing generation of organ-buds in 3D culture from adult stem cells has endowed the possibility of establishing stable culture from primary tumors. Although culturing organoids from liver tumors is thought to be difficult, we now convincingly demonstrate the establishment of organoids from mouse primary liver tumors. We have succeeded in culturing 91 lines from 129 liver tissue/tumors. These organoids can be grown in long-term cultures in vitro. About 20% of these organoids form tumors in immunodeficient mice upon (serial) transplantation, confirming their tumorigenic and self-renewal properties. Interestingly, single cells from the tumor organoids have high efficiency of organoid initiation, and a single organoid derived from a cancer cell is able to initiate a tumor in mice, indicating the enrichment of tumor-initiating cells in the tumor organoids. Furthermore, these organoids recapitulate, to some extent, the heterogeneity of liver cancer in patients, with respect to phenotype, cancer cell composition and treatment response. These model systems shall provide enormous opportunities to advance our research on liver cancer (stem cell) biology, drug development and personalized medicine. [ABSTRACT FROM AUTHOR]