Coexistent sarcoidosis mimics metastasis in a patient with early-stage non-small cell lung cancer: a case report.

BACKGROUND AND AIM: Sarcoidosis is a granulomatous disease. Malignant tumors are accompanied rarely by granuloma reactions that mimic metastasis. METHODS: We present the case of a patient with possible advanced lung cancer with metastases to the mediastinal lymph nodes and bilateral ilia. RESULTS: Ilium biopsy revealed the presence of sarcoid-like reaction. Bronchoscopy and endobronchial ultrasound revealed an adenocarcinoma in the right upper lung lobe, with a negative mediastinal lymph node. The correct staging of lung cancer was achieved through pathological examination of the surgically removed lung tissues. Two years later, the lung cancer metastasized, and the patient underwent systemic treatment. CONCLUSIONS: Coexistent sarcoid-like reaction may mimic metastatic lung cancer. A multidisciplinary approach and sequential diagnostic biopsies can prevent unnecessary surgery or inadequate treatment by distinguishing between coexistent sarcoidosis and metastatic lung cancer.

Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy.

Backgrounds and Aim: Chronic hepatitis C (CHC) patients who fail antiviral therapy have a high risk of developing hepatocellular carcinoma (HCC). We investigated the effects of metformin and statins, commonly used to treat diabetes mellitus (DM) and hyperlipidemia (HLP), on HCC risk in CHC patients who failed antiviral therapy. Methods: CHC patients with failed interferon-based therapy were enrolled in a large-scale multicenter cohort study in Taiwan (T-COACH). HCC occurrence 1.5 years after the end of antiviral therapy was identified by linking to the cancer registry databases from 2003 to 2019. After considering death and liver transplantation as competing risks, Gray's cumulative incidence and Cox sub-distribution hazards for HCC development were used. Results: Among the 2,779 CHC patients, 480 (17.3%) developed new-onset HCC and 238 (8.6%) died after antiviral therapy. Metformin non-users with DM had a 51% higher risk of liver cancer than patients without DM, while statin users with HLP had a 50% lower risk of liver cancer than patients without HLP. The 5-year cumulative incidence of HCC was 16.5% in metformin non-users, significantly higher in metformin non-users than in patients without DM (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Conversely, HLP statin users had a significantly lower HCC risk than patients without HLP (3.8% vs. 12.5%; aSHR=0.50; P<0.001). Notably, the unfavorable effect of non-metformin use on increased HCC risk was mainly observed among patients without cirrhosis but not in patients with cirrhosis. In contrast, a favorable effect of statins reduced the risk of HCC in both cirrhotic and non-cirrhotic patients. Conclusion: Metformin for DM and statins for HLP have chemopreventive effects on HCC risk in CHC patients who failed antiviral therapy. These findings emphasize the importance of personalized preventive strategies for managing patients with these clinical profiles.

Microbiome signatures associated with clinical stages of gastric Cancer: whole metagenome shotgun sequencing study.

BACKGROUND: Gastric cancer is one of the global health concerns. A series of studies on the stomach have confirmed the role of the microbiome in shaping gastrointestinal diseases. Delineation of microbiome signatures to distinguish chronic gastritis from gastric cancer will provide a non-invasive preventative and treatment strategy. In this study, we performed whole metagenome shotgun sequencing of fecal samples to enhance the detection of rare bacterial species and increase genome sequence coverage. Additionally, we employed multiple bioinformatics approaches to investigate the potential targets of the microbiome as an indicator of differentiating gastric cancer from chronic gastritis. RESULTS: A total of 65 patients were enrolled, comprising 33 individuals with chronic gastritis and 32 with gastric cancer. Within each group, the chronic gastritis group was sub-grouped into intestinal metaplasia (n = 15) and non-intestinal metaplasia (n = 18); the gastric cancer group, early stage (stages 1 and 2, n = 13) and late stage (stages 3 and 4, n = 19) cancer. No significant differences in alpha and beta diversities were detected among the patient groups. However, in a two-group univariate comparison, higher Fusobacteria abundance was identified in phylum; Fusobacteria presented higher abundance in gastric cancer (LDA scored 4.27, q = 0.041 in LEfSe). Age and sex-adjusted MaAsLin and Random Forest variable of importance (VIMP) analysis in species provided meaningful features; Bacteria_caccae was the most contributing species toward gastric cancer and late-stage cancer (beta:2.43, se:0.891, p:0.008, VIMP score:2.543). In contrast, Bifidobacterium_longum significantly contributed to chronic gastritis (beta:-1.8, se:0.699, p:0.009, VIMP score:1.988). Age, sex, and BMI-adjusted MasAsLin on metabolic pathway analysis showed that GLCMANNANAUT-PWY degradation was higher in gastric cancer and one of the contributing species was Fusobacterium_varium. CONCLUSION: Microbiomes belonging to the pathogenic phylum Fusobacteria and species Bacteroides_caccae and Streptococcus_anginosus can be significant targets for monitoring the progression of gastric cancer. Whereas Bifidobacterium_longum and Lachnospiraceae_bacterium_5_1_63FAA might be protection biomarkers against gastric cancer.

Alleviating Recombinant Tissue Plasminogen Activator-induced Hemorrhagic Transformation in Ischemic Stroke via Targeted Delivery of a Ferroptosis Inhibitor.

Intravenous thrombolysis with recombinant tissue plasminogen activator (rtPA) is the primary treatment for ischemic stroke. However, rtPA treatment can substantially increase blood-brain barrier (BBB) permeability and susceptibility to hemorrhagic transformation. Herein, the mechanism underlying the side effects of rtPA treatment is investigated and demonstrated that ferroptosis plays an important role. The ferroptosis inhibitor, liproxstatin-1 (Lip) is proposed to alleviate the side effects. A well-designed macrocyclic carrier, glucose-modified azocalix[4]arene (GluAC4A), is prepared to deliver Lip to the ischemic site. GluAC4A bound tightly to Lip and markedly improved its solubility. Glucose, modified at the upper rim of GluAC4A, imparts BBB targeting to the drug delivery system owing to the presence of glucose transporter 1 on the BBB surface. The responsiveness of GluAC4A to hypoxia due to the presence of azo groups enabled the targeted release of Lip at the ischemic site. GluAC4A successfully improved drug accumulation in the brain, and Lip@GluAC4A significantly reduced ferroptosis, BBB leakage, and neurological deficits induced by rtPA in vivo. These findings deepen the understanding of the side effects of rtPA treatment and provide a novel strategy for their effective mitigation, which is of great significance for the treatment and prognosis of patients with ischemic stroke.

The diameter of cutaneous melanoma serves as a prognostic indicator for survival among acral-melanoma predominant East Asian patients.

BACKGROUND: Tumor staging plays a pivotal role in melanoma management, where the depth of tumor invasion has been traditionally used as the cornerstone of staging. Paradoxically, the tumor diameter has not been integrated into the staging system. The aim of this study is to elucidate the clinical implications and prognostic value of tumor diameter in cutaneous melanoma, with a particular emphasis on the acral-melanoma predominant East Asian population, thus potentially enriching the clinical evaluation and treatment strategies for cutaneous melanoma. METHODS: From January 1st, 2006 to December 31st, 2022, a total of 352 patients were diagnosed with melanoma in our center. Among them, there were 135 patients diagnosed as cutaneous melanoma who received complete surgical wide excision and regional lymph nodes assessment. The diameter of the tumor, the depth of tumor invasion, lymph node status and patient survival were all collected and analyzed. RESULTS: The diameter of cutaneous melanoma had a weak positive correlation with tumor thickness (r = 0.26), however, it still had a significant predictive value for patients' overall survival (p = 0.005) and disease free survival (p = 0.023). As for lymph node metastasis prediction, the Breslow thickness had a better predictive value than tumor diameter (p = 0.002 vs. p = 0.565). CONCLUSIONS: In this study, though with only weak positive correlation to tumor thickness, the tumor diameter of melanoma showed a statistically significant correlation with the patients' overall survival and disease free survival. However, the larger tumor diameter cannot be used as an indicator of high risk of lymph node metastasis.

Dynamic change of metabolic dysfunction-associated steatotic liver disease in patients with hepatitis C virus infection after achieving sustained virologic response with direct-acting antivirals.

BACKGROUND: Information on the dynamics of metabolic dysfunction-associated steatotic liver disease (MASLD) among hepatitis C virus patients achieving sustained virologic response (SVR12) with direct-acting antivirals (DAAs) is limited. METHODS: We enrolled 1512 eligible participants in this prospective study. MASLD was defined by a controlled attenuation parameter (CAP) of ≥248 dB/m utilizing vibration-controlled transient elastography in conjunction with presence of ≥1 cardiometabolic risk factor. The distribution of MASLD and the changes in CAP were evaluated before treatment and at SVR12. Forward stepwise logistic regression analyses were performed to determine factors significantly associated with the regression or emergence of MASLD. RESULTS: The prevalence of MASLD decreased from 45.0% before treatment to 36.1% at SVR12. Among 681 participants with MASLD before treatment, 144 (21%) exhibited MASLD regression at SVR12. Conversely, among 831 participants without MASLD before treatment, 9 (1.1%) developed MASLD at SVR12. Absence of type 2 diabetes (T2D) [odds ratio (OR): 1.73, 95% confidence interval (CI): 1.13-2.65, p = 0.011], age > 50 years (OR: 1.73, 95% CI: 1.11-2.68, p = 0.015), and alanine transaminase (ALT) ≤ 2 times the upper limit of normal (ULN) (OR: 1.56; 95% CI: 1.03-2.37, p = 0.035) were associated with the regression of MASLD. Presence of T2D was associated with the emergence of MASLD (OR: 5.83, 95% CI: 1.51-22.56, p = 0.011). CONCLUSIONS: The prevalence of MASLD decreased after achieving SVR12 with DAAs. Patients with pre-existing T2D showed a diminished probability of MASLD regression and a heightened risk of MASLD emergence post-SVR12.

Multicenter evaluation of the safety and efficacy of selective internal radiation therapy with yttrium-90 resin microspheres in Taiwan: data from the RESIN registry.

BACKGROUND AND AIM: The REgistry of Selective Internal radiation therapy in AsiaNs (RESIN) was a multicenter, single-arm, prospective, observational study of 90Y resin microspheres in patients with hepatocellular carcinoma (HCC) or metastatic colorectal cancer (mCRC) from Taiwan. RESIN is the first real-life clinical study of this therapy in an Asian cohort. Study objectives were to evaluate the safety and efficacy of 90Y resin microspheres. METHODS: Adults with HCC or mCRC scheduled to receive SIRT with 90Y resin microspheres were included. Primary endpoints were best overall response rate (ORR), adverse events, and changes from baseline in liver function. Secondary efficacy endpoints included overall survival (OS). RESULTS: Of 107 enrolled patients, 83 had HCC, and 24 had mCRC. ORR was 55.41% (HCC) and 33.33% (mCRC). Of 58 HCC patients with 6-month post-SIRT data, 13.79% (n = 8) had resection, transplantation, transarterial chemoembolization, or radiofrequency ablation as the result of down-staging or down-sizing of their lesions. One hundred and ten treatment emergent adverse events (TEAEs) were reported in 51 patients, and five serious adverse events (SAEs) were reported in five patients. The most frequent TEAEs were abdominal pain, nausea and decreased appetite (HCC), and abdominal pain, decreased appetite, fatigue, and vomiting (mCRC). Two deaths due to SAEs (probably related to SIRT) were reported, both in patients with extensive HCC, active hepatitis infection, and other comorbidities. Median OS was 24.07 (HCC) and 12.66 (mCRC) months. CONCLUSIONS: Safety and efficacy outcomes with the routine use of SIRT with 90Y resin microspheres in Taiwan are consistent with published data.

Correlation of Disease Severity, Proinflammatory Cytokines, and Reduced Brain Gray Matter Volumes in Patients with Atopic Dermatitis.

Background: Atopic dermatitis (AD) is a chronic inflammatory skin disease. However, few studies have investigated brain changes associated with chronic inflammation. We hypothesized that chronic inflammation might be related to brain structural alterations in patients with AD. Objectives: To investigate the association between disease severity (Eczema Area and Severity Index [EASI]), proinflammatory cytokines, and differences in brain gray matter (GM) volume in patients with AD. Methods: Nineteen patients with AD and 19 age- and sex-matched healthy subjects were enrolled. All participants underwent clinical assessment and brain magnetic resonance imaging. Voxel-based morphometry was performed to analyze GM volume differences. Results: Patients with AD exhibited significantly decreased GM volume in many brain regions, such as bilateral precentral gyrus, right frontal pole, and right middle temporal gyrus (P < 0.001), compared with healthy subjects. Notably, in patients with AD, the GM volume in right middle temporal gyrus was negatively associated with both EASI score and proinflammatory cytokines (sIL-2R [soluble interleukin 2 receptor] and TNF-α receptor-1), whereas the GM volume in left precentral gyrus was negatively associated with both EASI score and proinflammatory cytokines (sIL-2R and CRP). Conclusion: Patients with AD demonstrated significant brain GM volume reduction in many brain regions, which is related to disease severity and proinflammatory cytokines.

Pharmacokinetics of desflurane uptake and disposition in piglets.

Introduction: Many respiratory but few arterial blood pharmacokinetics of desflurane uptake and disposition have been investigated. We explored the pharmacokinetic parameters in piglets by comparing inspiratory, end-tidal, arterial blood, and mixed venous blood concentrations of desflurane. Methods: Seven piglets were administered inspiratory 6% desflurane by inhalation over 2 h, followed by a 2-h disposition phase. Inspiratory and end-tidal concentrations were detected using an infrared analyzer. Femoral arterial blood and pulmonary artery mixed venous blood were sampled to determine desflurane concentrations by gas chromatography at 1, 3, 5, 10, 20, 30, 40, 50, 60, 80, 100, and 120 min during each uptake and disposition phase. Respiratory and hemodynamic parameters were measured simultaneously. Body uptake and disposition rates were calculated by multiplying the difference between the arterial and pulmonary artery blood concentrations by the cardiac output. Results: The rates of desflurane body uptake increased considerably in the initial 5 min (79.8 ml.min-1) and then declined slowly until 120 min (27.0 ml.min-1). Similar characteristics of washout were noted during the subsequent disposition phase. Concentration-time curves of end-tidal, arterial, and pulmonary artery blood concentrations fitted well to zero-order input and first-order disposition kinetics. Arterial and pulmonary artery blood concentrations were best fitted using a two-compartment model. After 2 h, only 21.9% of the desflurane administered had been eliminated from the body. Conclusion: Under a fixed inspiratory concentration, desflurane body uptake in piglets corresponded to constant zero-order infusion, and the 2-h disposition pattern followed first-order kinetics and best fitted to a two-compartment model.

Photodynamic therapy upregulates expression of HIF-1α and PD-L1 in related pathways and its clinical relevance in non-small-cell lung cancer.

BACKGROUND: Photodynamic therapy (PDT) is a promising interventional treatment approach that contributes to antitumor immunity. It has been reported that PDT can enhance the effectiveness of immune checkpoint inhibitors (ICIs), but its mechanism is yet unclear. Herein, we implemented bioinformatics analysis to detect common pathways and potential biomarkers in non-small cell lung cancer (NSCLC), PDT, and NSCLC immunotherapy to investigate potential links between PDT, immunotherapy and NSCLC, and their clinical impact. METHODS: Differentially expressed genes in NSCLC- and NSCLC immunotherapy-related data in the GEO database were intersected with PDT-related genes in the GeneCards database to obtain candidate genes and shared pathways. Enrichment analysis and protein-protein interaction were established to identify key genes in functionally enriched pathways. The expression profiles and the prognostic significance of key genes were depicted. RESULTS: Bioinformatics analysis showed that HIF-1α was screened as a prognostic gene in hypoxia, HIF-1, and PD-L1-related signaling pathways, which was associated with clinical response in NSCLC patients after PDT and immunotherapy. In vivo experiments showed that PDT could inhibit tumor growth and upregulate HIF-1α and PD-L1 expressions in NSCLC tissues with a positive correlation, which might influence the blocking activity of ICIs on the HIF-1, and PD-L1-related signaling pathways. CONCLUSIONS: PDT might improve the clinical response of ICIs by upregulating tumor HIF-1α and PD-L1 expressions in NSCLC.

Autophagy receptor ZmNBR1 promotes the autophagic degradation of ZmBRI1a and enhances drought tolerance in maize.

Drought stress is a crucial environmental factor that limits plant growth, development, and productivity. Autophagy of misfolded proteins can help alleviate the damage caused in plants experiencing drought. However, the mechanism of autophagy-mediated drought tolerance in plants remains largely unknown. Here, we cloned the gene for a maize (Zea mays) selective autophagy receptor, NEXT TO BRCA1 GENE 1 (ZmNBR1), and identified its role in the response to drought stress. We observed that drought stress increased the accumulation of autophagosomes. RNA sequencing and reverse transcription-quantitative polymerase chain reaction showed that ZmNBR1 is markedly induced by drought stress. ZmNBR1 overexpression enhanced drought tolerance, while its knockdown reduced drought tolerance in maize. Our results established that ZmNBR1 mediates the increase in autophagosomes and autophagic activity under drought stress. ZmNBR1 also affects the expression of genes related to autophagy under drought stress. Moreover, we determined that BRASSINOSTEROID INSENSITIVE 1A (ZmBRI1a), a brassinosteroid receptor of the BRI1-like family, interacts with ZmNBR1. Phenotype analysis showed that ZmBRI1a negatively regulates drought tolerance in maize, and genetic analysis indicated that ZmNBR1 acts upstream of ZmBRI1a in regulating drought tolerance. Furthermore, ZmNBR1 facilitates the autophagic degradation of ZmBRI1a under drought stress. Taken together, our results reveal that ZmNBR1 regulates the expression of autophagy-related genes, thereby increasing autophagic activity and promoting the autophagic degradation of ZmBRI1a under drought stress, thus enhancing drought tolerance in maize. These findings provide new insights into the autophagy degradation of brassinosteroid signaling components by the autophagy receptor NBR1 under drought stress.

Efficacy and Safety of TACE Combined with a Tyrosine Kinase Inhibitor for the Treatment of TACE-Refractory Hepatocellular Carcinoma: A Retrospective Comparative Study.

PURPOSE: Combining angiogenesis inhibitors may enhance therapeutic efficacy synergistically after TACE refractoriness. The purpose of this study was to compare the outcomes of transarterial chemoembolization (TACE) plus a tyrosine kinase inhibitor (TACE-TKI) with TKI only for patients with TACE-refractory hepatocellular carcinoma (HCC). METHODS: From January 2019 to March 2022, 101 HCC patients confirmed with TACE-refractory were retrospectively reviewed in the study. Progression-free survival (PFS), overall survival (OS), tumor response, and adverse events (AEs) were evaluated between groups. RESULTS: Fifty-two patients undergoing TACE-TKI, while 32 patients receiving TKI alone were included. The objective response rate (ORR) was higher in the TACE-TKI group compared with the TKI group (55.8% vs. 25.0%, P = 0.006). The median PFS in the TACE-TKI group was significantly longer than that in the TKI group (7.6 months vs. 4.9 months, P = 0.018). The median OS was non reach to statistical longer than that in the TKI alone group (19.5 months vs. 17.7 months, P = 0.055). Subgroup analysis showed that TACE-TKI treatment resulted in a significantly longer median PFS and OS for Barcelona Clinic Liver Cancer (BCLC) stage B patients (PFS 11.8 months vs. 5.1 months, P = 0.017; OS 30.3 months vs. 19.4 months, P = 0.022). CONCLUSION: For patients with TACE-refractory HCC, TACE-TKI appeared to be superior to TKI monotherapy with regard to tumor control and PFS. Furthermore, for the BCLC stage B subgroup, TACE-TKI therapy was superior to TKI monotherapy in both OS and PFS.

Liver stiffness and spleen stiffness predict distinct liver-related events after hepatitis C eradication with direct-acting antivirals.

BACKGROUND: /Purpose: This study aimed to directly compare the utility of liver stiffness (LS) and spleen stiffness (SS) at sustained virologic response (SVR) for predicting hepatocellular carcinoma (HCC) and non-HCC events in patients with chronic hepatitis C (CHC) after direct-acting antiviral therapy. METHODS: This retrospective study included 695 CHC patients who achieved SVR and underwent LS and SS measurements. LS and SS were measured using point shear wave elastography and compared head-to-head. RESULTS: During a median follow-up of 29.5 months, 49 (7.1%) patients developed liver-related events (LREs), including 28 HCC and 22 non-HCC events after SVR. Multivariable Cox regression analysis revealed that age, albumin level, and LS (≥ versus <1.46 m/s) at SVR (adjusted hazard ratio [aHR]: 5.390; 95% confidence interval [CI]: 2.349-12.364; p < 0.001), but not SS at SVR, significantly predicted the overall risk of post-SVR LREs (n = 49). Furthermore, age and LS (≥ versus <1.46 m/s) at SVR (aHR: 6.759; 95% CI: 2.317-19.723; p < 0.001), but not SS at SVR, independently predicted the risk of post-SVR incident HCC. In contrast, SS (≥ versus <2.87 m/s) at SVR (aHR: 11.212; 95% CI: 1.564-20.132; p = 0.021) and albumin level, but not LS at SVR, significantly predicted the risk of post-SVR non-HCC events. CONCLUSION: Post-SVR LS better predicts HCC risk. Post-SVR SS helps predict non-HCC risk after antiviral therapy for CHC. LS and SS at SVR provide complementary prognostic information regarding risks of HCC and non-HCC events in the post-SVR setting. Further validation is warranted in larger cohorts.

Intestinal dual-specificity phosphatase 6 regulates the cold-induced gut microbiota remodeling to promote white adipose browning.

Gut microbiota rearrangement induced by cold temperature is crucial for browning in murine white adipose tissue. This study provides evidence that DUSP6, a host factor, plays a critical role in regulating cold-induced gut microbiota rearrangement. When exposed to cold, the downregulation of intestinal DUSP6 increased the capacity of gut microbiota to produce ursodeoxycholic acid (UDCA). The DUSP6-UDCA axis is essential for driving Lachnospiraceae expansion in the cold microbiota. In mice experiencing cold-room temperature (CR) transitions, prolonged DUSP6 inhibition via the DUSP6 inhibitor (E/Z)-BCI maintained increased cecal UDCA levels and cold-like microbiota networks. By analyzing DUSP6-regulated microbiota dynamics in cold-exposed mice, we identified Marvinbryantia as a genus whose abundance increased in response to cold exposure. When inoculated with human-origin Marvinbryantia formatexigens, germ-free recipient mice exhibited significantly enhanced browning phenotypes in white adipose tissue. Moreover, M. formatexigens secreted the methylated amino acid Nε-methyl-L-lysine, an enriched cecal metabolite in Dusp6 knockout mice that reduces adiposity and ameliorates nonalcoholic steatohepatitis in mice. Our work revealed that host-microbiota coadaptation to cold environments is essential for regulating the browning-promoting gut microbiome.

A Review on Traditional Uses, Phytochemistry, Pharmacology and Clinical Application of Tinospora sinensis (Lour.) Merr.

Tinospora sinensis (T. sinensis), whose Tibetan name is "Lezhe", as a traditional medicine, is widely distributed in China, India and Sri Lanka. It is used for the treatment of rheumatic arthralgia, sciatica, lumbar muscle strain and bruises. Research over the previous decades indicated that T. sinensis mainly contains terpenes, lignans, alkaloids, phenol glycosides and other chemical components. A wide range of pharmacologic activities such as anti-inflammatory, analgesic, immunosuppressive, anti-aging, anti-radiation, anti-leishmania and liver protection have been reported. However, the scholar's research on the pharmacodynamic material basis of T. sinensis is relatively weak. Data regarding many aspects such as links between the traditional uses and bioactivities, pharmacokinetics, and quality control standard of active compositions is still limited and need more attention. This review reports a total of 241 compounds, the ethnopharmacology and clinical application of T. sinensis, covering the literature which were searched by multiple databases including Web of Science, PubMed, Google Scholar, Science Direct, CNKI and other literature sources from 1996 to date, with a view to provide a systematic and insightful reference and lays a foundation and inspiration for the application and further in-depth research of T. sinensis resources.

Chronic hepatitis B baseline viral load and on-treatment liver cancer risk: A multinational cohort study of HBeAg-positive patients.

BACKGROUND AND AIMS: A single-nation study reported that pretreatment HBV viral load is associated with on-treatment risk of HCC in patients who are HBeAg-positive without cirrhosis and with chronic hepatitis B initiating antiviral treatment. We aimed to validate the association between baseline HBV viral load and on-treatment HCC risk in a larger, multinational cohort. APPROACH AND RESULTS: Using a multinational cohort from Korea, Hong Kong, and Taiwan involving 7545 adult patients with HBeAg-positive, without cirrhosis and with chronic hepatitis B who started entecavir or tenofovir treatment with baseline HBV viral load ≥5.00 log 10 IU/mL, HCC risk was estimated by baseline viral load. HBV viral load was analyzed as a categorical variable. During continuous antiviral treatment (median, 4.28 y), HCC developed in 200 patients (incidence rate, 0.61 per 100 person-years). Baseline HBV DNA level was independently associated with on-treatment HCC risk in a nonlinear pattern. HCC risk was lowest with the highest baseline viral load (≥8.00 log 10 IU/mL; incidence rate, 0.10 per 100 person-years), but increased sharply as baseline viral load decreased. The adjusted HCC risk was 8.05 times higher (95% CI, 3.34-19.35) with baseline viral load ≥6.00 and <7.00 log 10 IU/mL (incidence rate, 1.38 per 100 person-years) compared with high (≥8.00 log 10 IU/mL) baseline viral load ( p <0.001). CONCLUSIONS: In a multinational cohort of adult patients with HBeAg-positive without cirrhosis and with chronic hepatitis B, baseline HBV viral load was significantly associated with HCC risk despite antiviral treatment. Patients with the highest viral load who initiated treatment had the lowest long-term risk of HCC development.

A Study of the Adsorption Properties of Individual Atoms on the Graphene Surface: Density Functional Theory Calculations Assisted by Machine Learning Techniques.

In this research, the adsorption performance of individual atoms on the surface of monolayer graphene surface was systematically investigated using machine learning methods to accelerate density functional theory. The adsorption behaviors of over thirty different atoms on the graphene surface were computationally analyzed. The adsorption energy and distance were extracted as the research targets, and the basic information of atoms (such as atomic radius, ionic radius, etc.) were used as the feature values to establish the dataset. Through feature engineering selection, the corresponding input feature values for the input-output relationship were determined. By comparing different models on the dataset using five-fold cross-validation, the mathematical model that best fits the dataset was identified. The optimal model was further fine-tuned by adjusting of the best mathematical ML model. Subsequently, we verified the accuracy of the established machine learning model. Finally, the precision of the machine learning model forecasts was verified by the method of comparing and contrasting machine learning results with density functional theory. The results suggest that elements such as Zr, Ti, Sc, and Si possess some potential in controlling the interfacial reaction of graphene/aluminum composites. By using machine learning to accelerate first-principles calculations, we have further expanded our choice of research methods and accelerated the pace of studying element-graphene interactions.

Development of Wearable Devices for Collecting Digital Rehabilitation/Fitness Data from Lower Limbs.

Lower extremity exercises are considered a standard and necessary treatment for rehabilitation and a well-rounded fitness routine, which builds strength, flexibility, and balance. The efficacy of rehabilitation programs hinges on meticulous monitoring of both adherence to home exercise routines and the quality of performance. However, in a home environment, patients often tend to inaccurately report the number of exercises performed and overlook the correctness of their rehabilitation motions, lacking quantifiable and systematic standards, thus impeding the recovery process. To address these challenges, there is a crucial need for a lightweight, unbiased, cost-effective, and objective wearable motion capture (Mocap) system designed for monitoring and evaluating home-based rehabilitation/fitness programs. This paper focuses on the development of such a system to gather exercise data into usable metrics. Five radio frequency (RF) inertial measurement unit (IMU) devices (RF-IMUs) were developed and strategically placed on calves, thighs, and abdomens. A two-layer long short-term memory (LSTM) model was used for fitness activity recognition (FAR) with an average accuracy of 97.4%. An intelligent smartphone algorithm was developed to track motion, recognize activity, and calculate key exercise variables in real time for squat, high knees, and lunge exercises. Additionally, a 3D avatar on the smartphone App allows users to observe and track their progress in real time or by replaying their exercise motions. A dynamic time warping (DTW) algorithm was also integrated into the system for scoring the similarity in two motions. The system's adaptability shows promise for applications in medical rehabilitation and sports.

Optimization design of brushless DC motor based on improved JAYA algorithm.

Brushless direct current motor is widely used in industrial production because of its simple structure, wide speed range and low noise. To improve the operation efficiency of brushless DC motor and reduce the production and application costs, the optimization of brushless DC motor is analyzed by introducing the JAYA algorithm. This method determines the optimal parameters of a brushless DC motor using the theory of electromagnetic structure parameter selection and efficiency calculation. The population diversity of the JAYA algorithm is improved through an empirical learning strategy, and an adaptive strategy is introduced to balance the development ability and search performance of the algorithm. This ensures population diversity and improves convergence speed. The experiment showcases that the improved JAYA algorithm has a lower rank average in unimodal function operations, demonstrating stronger local development ability and better stability. It exhibits strong search ability in many local optima of multimodal functions. Moreover, the motor's average efficiency after optimization is 94.48%. The algorithm reaches the global optimum after approximately 40 iterations and offers faster convergence speed and higher accuracy. The adaptive JAYA algorithm is stable at around 93% when the number of iterations reaches 90, with a maximum efficiency of 95.3%. It is 5-12 percentage points higher than the other three comparison algorithms. The optimal solution of the motor parameters in the adaptive JAYA algorithm is closest to the theoretical parameter optimization value, meeting both the constraints of variables and the constraints of the model. The stator diameter, tooth magnetic induction, winding current density, air gap magnetic induction, and stator yoke magnetic induction values are 201.5 mm, 1.8 T, 2.049 A/mm2, 0.63 T, and 0.91 T, respectively. The research overcomes the problem of parameter optimization in the optimization design of brushless DC motor, improving their economic value of brushless DC motor in industrial production and application.