Erdafitinib in Asian patients with advanced solid tumors: an open-label, single-arm, phase IIa trial.

BACKGROUND: FGFR genomic aberrations occur in approximately 5-10% of human cancers. Erdafitinib has previously demonstrated efficacy and safety in FGFR-altered advanced solid tumors, such as gliomas, thoracic, gastrointestinal, gynecological, and other rare cancers. However, its efficacy and safety in Asian patients remain largely unknown. We conducted a multicenter, open-label, single-arm phase IIa study of erdafitinib to evaluate its efficacy in Asian patients with FGFR-altered advanced cholangiocarcinoma, non-small cell lung cancer (NSCLC), and esophageal cancer. METHODS: Patients with pathologically/cytologically confirmed, advanced, or refractory tumors who met molecular and study eligibility criteria received oral erdafitinib 8 mg once daily with an option for pharmacodynamically guided up-titration to 9 mg on a 28-day cycle, except for four NSCLC patients who received erdafitinib 10 mg (7 days on/7 days off) as they were recruited before the protocol amendment. The primary endpoint was investigator-assessed objective response rate per RECIST v1.1. Secondary endpoints included progression-free survival, duration of response, disease control rate, overall survival, safety, and pharmacokinetics. RESULTS: Thirty-five patients (cholangiocarcinoma: 22; NSCLC: 12; esophageal cancer: 1) were enrolled. At data cutoff (November 19, 2021), the objective response rate for patients with cholangiocarcinoma was 40.9% (95% CI, 20.7-63.6); the median progression-free survival was 5.6 months (95% CI, 3.6-12.7) and median overall survival was 40.2 months (95% CI, 12.4-not estimable). No patient with RET/FGFR-altered NSCLC achieved objective response and the disease control rate was 25.0% (95% CI, 5.5-57.2%), with three patients with stable disease. The single patient with esophageal cancer achieved partial response. All patients experienced treatment-emergent adverse events, and grade ≥ 3 treatment-emergent adverse events were reported in 22 (62.9%) patients. Hyperphosphatemia was the most frequently reported treatment-emergent adverse event (all-grade, 85.7%). CONCLUSIONS: Erdafitinib demonstrated efficacy in a population of Asian patients in selected advanced solid tumors, particularly in those with advanced FGFR-altered cholangiocarcinoma. Treatment was tolerable with no new safety signals. TRIAL REGISTRATION: This trial is registered with ClinicalTrials.gov (NCT02699606); study registration (first posted): 04/03/2016.

Soluble ST2: A Novel Biomarker for Diagnosis and Prognosis of Cardiovascular Disease.

The increasing incidence of cardiovascular disease (CVD) is a significant global health concern, affecting millions of individuals each year. Accurate diagnosis of acute CVD poses a formidable challenge, as misdiagnosis can significantly decrease patient survival rates. Traditional biomarkers have played a vital role in the diagnosis and prognosis of CVDs, but they can be influenced by various factors, such as age, sex, and renal function. Soluble ST2 (sST2) is a novel biomarker that is closely associated with different CVDs. Its low reference change value makes it suitable for continuous measurement, unaffected by age, kidney function, and other confounding factors, facilitating risk stratification of CVDs. Furthermore, the combination of sST2 with other biomarkers can enhance diagnostic accuracy and prognostic value. This review aims to provide a comprehensive overview of sST2, focusing on its diagnostic and prognostic value as a myocardial marker for different types of CVDs and discussing the current limitations of sST2.

[Characteristics and Source Analysis of VOCs Pollution During Emergency Response in Tianjin].

To elucidate the characteristics of VOCs chemical components during heavy pollution episodes, hourly online VOCs data derived from 11 heavy pollution events in Tianjin from 2019 to 2020 were employed. The positive matrix factorization （PMF） and conditional bivariate probability function （CBPF） were employed to analyze the sources of VOCs during heavy pollution episodes. The results indicated that the average VOCs volume fraction during these episodes was recorded at 35.7×10-9. Furthermore, it was observed that during the winter emergency response period, there was a discernible increase in the volume fraction of VOCs when compared to that during the autumn season. Specifically, there was a notable upswing of 48% in the olefins category, whereas alkanes registered a 4% increase. Additionally, the VOCs component structure changed significantly during the heavy pollution episodes. During the orange warning period, the proportion of alkanes increased by 36%, and the proportion of acetylene decreased by 32%. During the yellow warning period, the proportion of alkanes increased by 14%, and the proportion of acetylene decreased by 5%. During the emergency response period, motor vehicle emission sources, natural gas evaporative sources, and solvent use sources were the main contributors of VOCs in environmental receptors, contributing 17.5%, 15.4%, and 15.2%, respectively. Compared with that during the period antecedent to the emergency response, the contribution of vehicle emission sources and diesel volatile sources to VOCs in environmental receptors decreased by 2.0% to 5.5% and 2.1% to 6.6%, respectively, and the contribution of solvent use sources decreased by 0.2% to 2.4% during the yellow warning period. During the orange warning period, the contribution of motor vehicle emission sources was reduced by 0.1% to 8.3%, and the contribution of solvent use sources was reduced by 0.5% to 6.2%.

Exploring neuron-specific steroid synthesis and DHEAS therapy in Alzheimer's disease.

Alzheimer's Disease (AD) is a neurodegenerative disorder characterized by cognitive decline and memory loss. Recent studies have suggested a potential role for steroid synthesis in AD pathology. This study investigated the co-localization of steroidogenic enzymes in neuronal cells, changes in enzyme expression in an AD mouse model, and steroid expressions in human AD samples. Additionally, we conducted a steroidomic metabolomics analysis and evaluated the effects of dehydroepiandrosterone sulfate (DHEAS) treatment in an AD mouse model. Immunofluorescence analysis revealed significant co-localization of cytochrome P450 family 17 subfamily A member 1 (CYP17A1) and steroidogenic acute regulatory protein (StAR) proteins with α-synuclein in presynaptic neurons, suggesting active steroid synthesis in these cells. Conversely, such co-localization was absent in astrocytes. In the AD mouse model, a marked decrease in the expression of steroidogenic enzymes (Cyp11a1, Cyp17a1, Star) was observed, especially in areas with amyloid beta plaque accumulation. Human AD and MS brain tissues showed similar reductions in StAR and CYP17A1 expressions. Steroidomic analysis indicated a downregulation of key steroids in the serum of AD patients. DHEAS treatment in AD mice resulted in improved cognitive function and reduced Aß accumulation. Our findings indicate a neuron-specific pathway for steroid synthesis, potentially playing a crucial role in AD pathology. The reduction in steroidogenic enzymes and key steroids in AD models and human samples suggests that impaired steroid synthesis is a feature of neurodegenerative diseases. The therapeutic potential of targeting steroid synthesis pathways, as indicated by the positive effects of DHEAS treatment, warrants further investigation.

Morphological and phylogenetic analyses reveal two new Alternaria species (Pleosporales, Pleosporaceae) in Alternaria section from Cucurbitaceae plants in China.

Alternaria species are commonly found as saprophytes, endophytes and plant pathogens. During a survey of small-spored Alternaria in China, two new species were discovered from Cucurbitaceae plants collected in Hubei and Sichuan provinces. This study identified two new species of Alternaria using seven genes (ITS, GAPDH, TEF1, RPB2, Alt a 1, EndoPG, and OPA10-2) for phylogenetic analyses and morphological characteristics. The two new species A.jingzhouensis and A.momordicae were described and illustrated. Alternariajingzhouensis sp. nov., associated with Citrulluslanatus, is characterized by producing muriform, ellipsoidal, flask-shaped, rostrate, and beaked conidia. It differs from A.koreana, A.ovoidea, and A.baoshanensis by bearing conidia in a simple conidiogenous locus with occasionally longer beaks in a chain, and from A.momordicae sp. nov. by having shorter beaks. Alternariamomordicae sp. nov. from Momordicacharantia was distinct from A.koreana, A.ovoidea, and A.baoshanensis by producing muriform, long ellipsoid or ovoid to obclavate, sometimes inverted club-shaped conidia on a single conidiogenous locus with a wider body and longer beak in a chain, and distinct from A.jingzhouensis sp. nov. by a longer beak conidia. These two species were clearly distinguished from other species in the section Alternaria based on DNA based phylogeny and morphological characteristics. The morphological features were discussed and compared to relevant species in the present paper.

Research progress in pulmonary rehabilitation in patients who have been weaned off mechanical ventilation: A review article.

BACKGROUND: Patients who have been treated with mechanical ventilation for more than 72 hours are susceptible to symptoms such as hypoxia and respiratory muscle fatigue after weaning, which may result in weaning difficulty and delay, as well as an increased incidence of negative emotions such as anxiety and depression. Correct pulmonary rehabilitation exercise technique and timing can improve the weaning success rate, reduce the disability rate, and reduce the incidence of pulmonary infection, as well as reduce medical expenses. OBJECTIVE: This article provides a review of pulmonary rehabilitation interventions for mechanically ventilated patients, searching relevant literature through databases such as CNKI and PubMed, aiming to provide guidance for the successful weaning of mechanically ventilated patients. METHODS: We selected articles related to pulmonary rehabilitation interventions for mechanically ventilated patients from CNKI (China National Knowledge Infrastructure) and PubMed over the years. RESULTS: This article provides a comprehensive review of the research on lung rehabilitation for patients who are mechanically ventilated during the weaning process in an effort to serve as a guide for a successful transition from mechanical ventilation. CONCLUSION: Early pulmonary rehabilitation training can effectively increase the pulmonary function level and ventilation function of patients and reduce the duration of mechanical ventilation and hospitalization, and is an effective, safe, and feasible treatment method.

MolLoG: A Molecular Level Interpretability Model Bridging Local to Global for Predicting Drug Target Interactions.

Developing new pharmaceuticals is a costly and time-consuming endeavor fraught with significant safety risks. A critical aspect of drug research and disease therapy is discerning the existence of interactions between drugs and proteins. The evolution of deep learning (DL) in computer science has been remarkably aided in this regard in recent years. Yet, two challenges remain: (i) balancing the extraction of profound, local cohesive characteristics while warding off gradient disappearance and (ii) globally representing and understanding the interactions between the drug and target local attributes, which is vital for delivering molecular level insights indispensable to drug development. In response to these challenges, we propose a DL network structure, MolLoG, primarily comprising two modules: local feature encoders (LFE) and global interactive learning (GIL). Within the LFE module, graph convolution networks and leap blocks capture the local features of drug and protein molecules, respectively. The GIL module enables the efficient amalgamation of feature information, facilitating the global learning of feature structural semantics and procuring multihead attention weights for abstract features stemming from two modalities, providing biologically pertinent explanations for black-box results. Finally, predictive outcomes are achieved by decoding the unified representation via a multilayer perceptron. Our experimental analysis reveals that MolLoG outperforms several cutting-edge baselines across four data sets, delivering superior overall performance and providing satisfactory results when elucidating various facets of drug-target interaction predictions.

A decision tree-based study of pulmonary tuberculosis diagnosis-related groups.

BACKGROUND: Globally, pulmonary tuberculosis is a significant public health and social problem. OBJECTIVE: We investigated the factors influencing the hospitalization cost of patients with pulmonary tuberculosis and grouped cases based on a decision tree model to provide a reference for enhancing the management of diagnosis-related groups (DRGs) of this disease. METHODS: The data on the first page of the medical records of patients with the primary diagnosis of pulmonary tuberculosis were extracted from the designated tuberculosis hospital. The influencing factors of hospitalization cost were determined using the Wilcoxon rank sum test and multiple linear stepwise regression analysis, and the included cases were grouped using the chi-squared automated interaction test decision tree model, with these influential factors used as classification nodes. In addition, the included cases were grouped according to the ZJ-DRG grouping scheme piloted in Zhejiang Province, and the differences between the two grouping methods were compared. RESULTS: The length of hospital stay, respiratory failure, sex, and age were the determining factors of the hospitalization cost of patients with pulmonary tuberculosis, and these factors were incorporated into the decision tree model to form eight case combinations. The reduction in variance (RIV) using this grouping method was 60.60%, the heterogeneity between groups was high, the coefficients of variance ranged from 0.29 to 0.47, and the intra-group difference was small. The patients were also divided into four groups based on the ZJ-DRG grouping scheme piloted in Zhejiang Province. The RIV using this grouping method was 55.24, the differences between groups were acceptable, the coefficients of variance were 1.00, 0.61, 0.77, and 0.87, respectively, and the intra-group difference was significant. CONCLUSION: When the pulmonary tuberculosis cases were grouped according to the duration of hospital stay, respiratory failure, and age, the results were rather reasonable, providing a reference for DRG management and cost control of this disease.

Study on agricultural water resource utilization efficiency under the constraint of carbon emission and water pollution.

Agricultural water resource utilization efficiency in China is facing significant challenges due to the dual constraints of carbon emissions and water pollution. The inefficiency in water usage in agriculture not only impacts the sustainability of water resources but also contributes to environmental degradation through increased carbon emissions and water pollution. Agricultural water resource utilization efficiency under the constraint of carbon emission and water pollution has been a critical issue in China from 2005 to 2022. This study employs the Quantile Autoregressive Distributed Lag (QARDL) method to comprehensively assess and analyze the complex relationship that exists between agricultural water usage, carbon emissions, and water pollution. By analyzing distinct quantiles of the data distribution, the research investigates how different levels of water resource utilization efficiency relate to carbon emissions and water pollution under various conditions. The findings reveal nuanced insights into the dynamic interactions among these components within the agricultural sector. This research project focuses on the efficiency of water resource utilization in agriculture while considering the constraints of carbon emission and water pollution. Given the dynamic and time-dependent character of these components, the QARDL methodology makes it possible to get a detailed knowledge of how they interact within the framework of agriculture. The study aims to give significant insights and policy suggestions to improve agricultural practices while minimizing environmental concerns linked to carbon emissions and water pollution.

Degree of paraxiality of radially polarized twisted multi-Gaussian Schell-model beams.

The degree of paraxiality (DOP) of a radially polarized twisted multi-Gaussian Schell-model (RPT MGSM) beam is discussed, and the influence of the source parameters on its DOP is studied. It is shown that the parameters of the beam source, including the boundary characteristic, the beam waist width, the coherence width of the source correlation, and the twist factor, have a significant impact on the DOP of the RPT MGSM beam. To explain the behaviors of the DOP, the far-field divergence angle of this beam is also discussed.

First report of leaf blight caused by Stemphylium lycopersici on Salvia splendens in China.

Salvia splendens is a popular ornamental plant in China with extensive potentials, including value in traditional Chinese medicine and in environmental restoration function (Li et al. 2008). In September 2019, leaf blight disease was observed on road side plants of S. splendens in Bayi park, Nanchang city, Jiangxi province, China. The typical symptoms appeared as irregular necrotic spots or leaf blight, accompanied by extensive scorch necrosis or ultimately defoliation. Small segments cut from diseased leaves were surface sterilized in a 2% sodium hypochlorite solution for 2 min and rinsed three times with sterile distilled water. Then, the samples were placed on potato dextrose agar (PDA) plates incubated at 25°C in darkness. Pure cultures were obtained by the hyphal tip method. Morphologically, all 11 colonies were identical to each other on PDA. Two strains, YZU 191468 and YZU 191481, were selected for further study and deposited in the Fungal Herbarium of Yangtze University (YZU), Jingzhou, Hubei, China. The 7-day-old colonies were circular, 53 to 56 mm in diameter, and consisted of white mycelium with a buff margin, and were cinnamon colored in the center of the reverse side. To examine conidial morphology, the mycelium was transferred onto potato carrot agar (PCA) and incubated at 23°C with a period of 8 h light/16 h dark for 7 days. Conidia were normally solitary or two in a chain, ellipsoid or long ellipsoid, beakless, 10 to 23×30 to 60 µm in size (n=50). Based on morphology, the isolates were consistent with Stemphylium lycopersici (Yamamoto 1960). To confirm the identification, genomic DNA was extracted from both isolates and used to amplify the internal transcribed spacer rDNA region (ITS), glyceraldehydes-3-phosphate dehydrogenase (GAPDH) and calmodulin (CAL) genes with primer pairs ITS5/ITS4, gpd1/gpd2, and CALDF1/CALDR2, respectively (Woudenberg et al. 2017). Sequences were deposited in GenBank with accession numbers OP564983 and OP564984 (ITS), OP892529 and OP892530 (GAPDH), OP584970 and OP584971 (CAL). A neighbor-joining tree was constructed with Mega 7.0 based on the combined dataset with 1,000 bootstrap replicates. The resulting phylogenetic tree showed that the strains from S. splendens clustered with S. lycopersici (CBS 122639 and CBS 124980) supported with 100% bootstrap values. The molecular analyses confirmed that the species causing leaf blight symptoms was S. lycopersici. To test pathogenicity, healthy leaves of S. splendens were surface sterilized and inoculated by mycelium blocks (6 mm in diameter) and spore suspension (1×106 spore/mL) of representative strains YZU 191468 and YZU 191481, respectively. Controls were inoculated with blocks of PDA and sterile water. Each strain was inoculated on three leaves of a plant. One clean plant was used as control. The test was replicated three times. After inoculation, the plants were covered with plastic bags and incubated in a greenhouse (25℃, 80 % relative humidity, 8 h light/16 h dark). After 5 days, the inoculated leaves exhibited dark brown spots with white mycelium, followed by withering of necrotic tissues. There were no symptoms observed on the controls. The fungal isolates inoculated leaves had the same morphological characteristics as the strains used for inoculation. S. lycopersici has been found on eggplant and Zinnia elegans in China (He et al. 2019; Yang et al. 2017). To the best of our knowledge, this is the first report of S. lycopersici causing leaf blight on S. splendens in China. This finding offers a new reference for the management and control of S. splendens leaf diseases in China.

Impact of delayed diagnosis and treatment on tuberculosis infection within families: A case report.

BACKGROUND: A 32-year-old male patient was diagnosed with a 30% left pneumothorax on November 5, 2020, during which chest imaging indicated abnormalities. Despite this, pulmonary tuberculosis (TB) was not diagnosed or treated at that time due to a negative result in the MGIT960 culture. The patient experienced symptoms of cough and expectoration on April 24, 2022. Upon repeating the chest imaging, the condition had worsened, confirming the presence of pulmonary TB, leading to the patient's hospitalization. On September 1, 2022, the 11-year-old daughter of the patient was diagnosed with pulmonary tuberculosis accompanied by bronchial tuberculosis and tuberculous pleurisy. METHODS: The diagnosis of pulmonary tuberculosis was confirmed through sputum smears and Gene Xpert MTB/RIF testing, for the patient and his 11-year-old daughter in 2022. The patient underwent a 6-month combination therapy (2HRZE/4HR) comprising isoniazid, rifampicin, pyrazinamide, and ethambutol. His daughter with pulmonary tuberculosis accompanied by bronchial tuberculosis and tuberculous pleurisy underwent a 12-month combination therapy. RESULTS: Late diagnosis and treatment delays contribute to tuberculosis infections within families. Fortunately, after more than 3 months of antituberculosis treatment, the patient experienced relief from cough and sputum secretion, and there was improvement observed in the chest CT scan. Six months later, the patient was successfully cured of TB. 12 months later, his daughter also was successfully cured of TB. CONCLUSION SUBSECTIONS: Early diagnosis and treatment of tuberculosis (TB) is vital to reduce transmission, morbidity, and mortality.

[Spatial Variability and Source Apportionment of PM2.5 Carbon Components in Tianjin].

The contents of eight carbonaceous subfractions were determined by simultaneously collecting PM2.5 samples from four sites in different functional areas of Tianjin in 2021. The results showed that the organic carbon (OC) concentration was 3.7 µg·m-3 to 4.4 µg·m-3, and the elemental carbon (EC) concentration was 1.6 µg·m-3 to 1.7 µg·m-3, with the highest OC concentration in the central urban area. There was no significant difference in EC concentration. The concentration of PM2.5 showed the distribution characteristics of the surrounding city>central city>peripheral area. The OC/EC minimum ratio method was used to estimate the concentrations of secondary organic carbon (SOC) in PM2.5, and the results showed that the secondary pollution was more prominent in the surrounding city, with SOC accounting for 48.8%. The correlation between carbon subcomponents in each functional area showed the characteristics of the peripheral area>central area>surrounding area, all showing the strongest correlation between EC1 and OC2 and EC1 and OC4. By including the carbon component concentration into the positive definite matrix factorization (PMF) model for source apportionment, the results showed that road dust sources(9.7%-23.5%), coal-combustion sources (10.2%-13.3%), diesel vehicle exhaust (12.6%-20.2%)and gasoline vehicle exhaust (18.9%-38.8%)were the main sources of carbon components in PM2.5 in Tianjin. The pollution sources of carbon components were different in different functional areas, with the central city and peripheral areas mainly affected by gasoline vehicle exhaust; the surrounding city was more prominently affected by the secondary pollution and diesel vehicle exhaust.

Comparative survival analysis of bladder preservation therapy versus radical cystectomy in muscle-invasive bladder cancer.

BACKGROUND: Bladder preservation therapy is an alternative to radical cystectomy in patients with muscle-invasive bladder cancer (MIBC). The purpose of this study is to compare survival outcomes between bladder preservation therapy and radical cystectomy in MIBC patients using an Asian nationwide cancer registry database. METHODS: From the Taiwan Cancer Registry database and the Taiwan National Health Insurance Research Database, we identified bladder cancer patients from 2008 to 2018. The patients with urothelial carcinoma and clinical stage T2-T4aN0-1 M0 were included. Propensity score matching by age, gender, clinical stage, cT classification, and Charlson Comorbidity Index score was used between those receiving bladder preservation therapy or radical cystectomy. Overall survival (OS), cancer-specific survival (CSS), and disease-free survival (DFS) were compared using the Kaplan-Meier method. Multivariate Cox regression models were used to determine the predictive factors of OS, CSS, and DFS. RESULTS: Following the propensity score matching, 393 MIBC patients were analyzed, 131 (33.3%) receiving bladder preservation therapy and 262 (66.7%) receiving radical cystectomy. After 5 years of the follow-up period the overall duration was with a median of 15.6 months. The treatment groups did not differ significantly in OS, CSS, and DFS (p = 0.2681, 0.7208, and 0.3616, respectively). In multivariable Cox regression models, bladder preservation therapy remained non-inferior to radical cystectomy in OS (adjusted hazard ratio [aHR] 1.08; 95% confidence interval [CI], 0.77-1.50; p = 0.6689), CSS (aHR, 1.06; 95% CI, 0.72-1.57; p = 0.7728), and DFS (aHR, 0.76; 95% CI, 0.46-1.27; p = 0.2929). Additionally, among patients ≥80 years, the use of bladder preservation therapy compared with radical cystectomy resulted in an equivalent OS, CSS and DSS. CONCLUSION: In Asian populations, bladder preservation therapy yielded similar survival outcomes as radical cystectomy in MIBC patients. Based on the results, it is evident that a multidisciplinary approach and shared decision-making are recommended for bladder cancer treatment.

Descending mechanism by which medial prefrontal cortex endocannabinoid signaling controls the development of neuropathic pain and neuronal activity of dorsal root ganglion.

ABSTRACT: Although regulation of nociceptive processes in the dorsal horn by deep brain structures has long been established, the role of cortical networks in pain regulation is minimally explored. The medial prefrontal cortex (mPFC) is a key brain area in pain processing that receives ascending nociceptive input and exerts top-down control of pain sensation. We have shown critical changes in mPFC synaptic function during neuropathic pain, controlled by endocannabinoid (eCB) signaling. This study tests whether mPFC eCB signaling modulates neuropathic pain through descending control. Intra-mPFC injection of cannabinoid receptor type 1 (CB1R) agonist WIN-55,212-2 (WIN) in the chronic phase transiently alleviates the pain-like behaviors in spared nerve injury (SNI) rats. By contrast, intra-mPFC injection of CB1R antagonist AM4113 in the early phase of neuropathic pain reduces the development of pain-like behaviors in the chronic phase. Spared nerve injury reduced the mechanical threshold to induce action potential firing of dorsal horn wide-dynamic-range neurons, but this was reversed in rats by WIN in the chronic phase of SNI and by mPFC injection of AM4113 in the early phase of SNI. Elevated dorsal root ganglion neuronal activity after injury was also diminished in rats by mPFC injection of AM4113, potentially by reducing antidromic activity and subsequent neuronal inflammation. These findings suggest that depending on the phase of the pain condition, both blocking and activating CB1 receptors in the mPFC can regulate descending control of pain and affect both dorsal horn neurons and peripheral sensory neurons, contributing to changes in pain sensitivity.

Mitochondrial Mechanisms in Temozolomide Resistance: Unraveling the Complex Interplay and Therapeutic Strategies in Glioblastoma.

Glioblastoma (GBM) is a highly aggressive and lethal brain tumor, with temozolomide (TMZ) being the standard chemotherapeutic agent for its treatment. However, TMZ resistance often develops, limiting its therapeutic efficacy and contributing to poor patient outcomes. Recent evidence highlights the crucial role of mitochondria in the development of TMZ resistance through various mechanisms, including alterations in reactive oxygen species (ROS) production, metabolic reprogramming, apoptosis regulation, biogenesis, dynamics, stress response, and mtDNA mutations. This review article aims to provide a comprehensive overview of the mitochondrial mechanisms involved in TMZ resistance and discuss potential therapeutic strategies targeting these mechanisms to overcome resistance in GBM. We explore the current state of clinical trials targeting mitochondria or related pathways in primary GBM or recurrent GBM, as well as the challenges and future perspectives in this field. Understanding the complex interplay between mitochondria and TMZ resistance will facilitate the development of more effective therapeutic strategies and ultimately improve the prognosis for GBM patients.

miR-4645-5p regulates malignant biological behavior of esophageal cancer cells by targeting MUC16 / 国际检验医学杂志

Objective To investigate the effect of microRNA(miR)-4645-5p on the proliferation,invasion and epithelial-mesenchymal transition of esophageal cancer cells by targeting mucin 16(MUC16)and its mo-lecular mechanism.Methods The expression of miR-4645-5p in esophageal cancer tissues was analyzed online by TCGA database.The expression level of miR-4645-5p in esophageal cancer cell lines was analyzed by fluo-rescent real-time fluorescence quantitative polymerase chain reaction(qPCR).KYSE-30 cells were transfected with miR-4645-5p mimic and negative control mimic by lipofection technology,and were divided into miR-4645-5p group and control mimic group.The proliferation ability,migration ability and invasion ability of transfected KYSE-30 cells were analyzed by CCK-8 method,scratch test and Transwell test respectively.The target gene of miR-4645-5p was predicted by the bioinformatics website,and the binding of miR-4645-5p to the target gene was detected by the dual-luciferase reporter gene assay.The expression level of MUC16 mR-NA was detected by qPCR,and the protein expression levels of MUC16,transcription factor-1(ZEB-1),zonal atresia protein(ZO-1),tight junction protein-1(Claudin-1)and α-smooth muscle actin(α-SMA)were detected by Western blotting.Results The expression level of miR-4645-5p in esophageal cancer tissues was signifi-cantly lower than that in adjacent tissues(P＜0.01).Compared with HET-1 A,the expression of miR-4645-5p was lower in esophageal cancer cell lines(P＜0.05).After overexpression of miR-4645-5p,the proliferation a-bility of KYSE-30 cells was significantly reduced(P＜0.05),the migration ability was significantly reduced(P＜0.01)and the invasion ability was significantly reduced(P＜0.01).miR-4645-5p targeted and negatively regulated the expression of MUC16 mRNA(P＜0.01).After overexpression of miR-4645-5p,the protein ex-pression levels of MUC16,ZEB-1 and α-SMA were all down-regulated,and the protein expression levels of ZO-1 and Claudin-1 were up-regulated.Conclusion miR-4645-5p regulates the malignant biological behavior of esophageal cancer KYSE-30 cells by targeting MUC16.

Correlation of Insulin-Like Growth Factor 1 With Cognitive Functions in Mild Traumatic Brain Injury Patients.

Mild traumatic brain injury (mTBI) is a prevalent health concern with variable recovery trajectories, necessitating reliable prognostic markers. Insulin-like growth factor 1 (IGF-1) emerges as a potential candidate because of its role in cellular growth, repair, and neuroprotection. However, limited studies investigate IGF-1 as a prognostic marker in mTBI patients. This study aimed to explore the correlation of IGF-1 with cognitive functions assessed using the Wisconsin Card Sorting Test (WCST) in mTBI patients. We analyzed data from 295 mTBI and 200 healthy control participants, assessing demographic characteristics, injury causes, and IGF-1 levels. Cognitive functions were evaluated using the WCST. Correlation analyses and regression models were used to investigate the associations between IGF-1 levels, demographic factors, and WCST scores. Significant differences were observed between mTBI and control groups in the proportion of females and average education years. Falls and traffic accidents were identified as the primary causes of mTBI. The mTBI group demonstrated worse cognitive outcomes on the WCST, except for the "Learning to Learn" index. Correlation analyses revealed significant relationships between IGF-1 levels, demographic factors, and specific WCST scores. Regression models demonstrated that IGF-1, age, and education years significantly influenced various WCST scores, suggesting their roles as potential prognostic markers for cognitive outcomes in mTBI patients. We provide valuable insights into the potential correlation of IGF-1 with cognitive functions in mTBI patients, particularly in tasks requiring cognitive flexibility and problem solving.

Copper price prediction using LSTM recurrent neural network integrated simulated annealing algorithm.

Copper is an important mineral and fluctuations in copper prices can affect the stable functioning of some countries' economies. Policy makers, futures traders and individual investors are very concerned about copper prices. In a recent paper, we use an artificial intelligence model long short-term memory (LSTM) to predict copper prices. To improve the efficiency of long short-term memory (LSTM) model, we introduced a simulated annealing (SA) algorithm to find the best combination of hyperparameters. The feature engineering problem of the AI model is then solved by correlation analysis. Three economic indicators, West Texas Intermediate Oil Price, Gold Price and Silver Price, which are highly correlated with copper prices, were selected as inputs to be used in the training and forecasting model. Three different copper price time periods, namely 485, 363 and 242 days, were chosen for the model forecasts. The forecast errors are 0.00195, 0.0019 and 0.00097, respectively. Compared with the existing literature, the prediction results of this paper are more accurate and less error. The research in this paper provides a reliable reference for analyzing future copper price changes.