Intravesical Instillation of Hyaluronic Acid With Epidermal Growth Factor for Restoring Urothelial Denudation and Alleviating Oxidative Stress in Lipopolysaccharide-Induced Interstitial Cystitis of Rats.

PURPOSE: To investigate the efficacy of an intravesical instillation of hyaluronic acid (HA) combined with epidermal growth factor (EGF) for the treatment of interstitial cystitis (IC) using a lipopolysaccharide (LPS)-induced IC animal model. METHODS: A total of 24 female Sprague-Dawley rats were randomized to 4 groups: sham control, IC, HA, and treatment (HA/ EGF) groups. A polyethylene-50 tube was placed inside the bladder of each animal. IC was induced by twice-weekly instillations of LPS for 3 weeks, which resulted in chronic injury of the urothelium. Animals in the sham control group only received saline instillation. Treatment solutions of HA and HA/EGF were given on days 0, 7, and 14 after IC induction (400 µL of HA in a concentration of 0.4 mg/0.5 mL and 400 µL of NewEpi, a commercialized HA/EGF mixture containing 2 µg of EGF and 0.4 mg of sodium hyaluronate). Animals were sacrificed on day 21 for further examinations. RESULTS: The HA/EGF group showed visible improvement in hematuria with a significant reduction of red blood cells in the urine compared to the HA group. Histological examination revealed that HA/EGF treatment reversed the abnormalities developed in IC, including infiltration of inflammatory cells, irregular re-epithelialization, and fibrotic tissue. Moreover, HA/ EGF significantly reduced the levels of proinflammation cytokines (tumor necrosis factor-α, interleukin [IL]-6, and IL-1ß) and substantially lowered the elevated oxidative stress biomarker malondialdehyde, yet restored the levels of antioxidant enzymes glutathione peroxidase and superoxide dismutase, with superior results than HA treatment. Cystometry studies indicated that HA/EGF significantly prolonged intercontraction interval and increased micturition volume. CONCLUSION: HA/EGF has been demonstrated as a more effective treatment for enhancing the urothelium lining and reducing inflammatory changes to alleviate clinical symptoms associated with IC in rats, compared to HA alone.

The impact of photobiomodulation on sleep and life quality in hemodialysis patients: A randomized controlled trial.

The quality of life (QoL) and sleep quality are closely linked to the physical and psychological health of end-stage renal disease (ESRD) patients, especially those underwent hemodialysis (HD) therapy. This study aims to investigate the impact of 830 nm laser treatment on improving QoL and sleep quality in HD patients. Forty ESRD patients participated in this study. 830 nm laser was used to radiate on the palm (at dose of 256.10 J/cm2), ST 36 and KI 1 acupoints (at dose of 109.76 J/cm2) of HD patients, and QoL and sleep quality questionnaires were utilized to assess changes following the treatment. After 830 nm laser radiation, lower global Pittsburgh Sleep Quality Index and Athens Insomnia Scale scores were observed, accompanied by higher physical and mental component summary scores in MOS 36-item short-form health survey version 2 and a global World Health Organization Quality of Life Brief Version score. The laser group also showed significant improvements in QoL and sleep quality indicators. Additionally, pain levels decreased on the third day and after one month according to visual analogue scale. This study revealed the positive effects of 830 nm laser on palm, KI 1 and ST 36 acupoints for improving the QoL and sleep quality in ESRD patients underwent HD treatment. The results suggest that 830 nm laser applied to specific targets could be used as a complementary and alternative approach to increase the QoL and sleep quality in ESRD patients.

Long-term outcomes of active vaccination against de novo hepatitis B among pediatric recipients of living donor liver transplantations with anti-HBc (+) grafts: a retrospective case-control study.

BACKGROUND: Active vaccination has been utilized to prevent de novo hepatitis B virus infection (DNHB) in anti-HBc (+) grafts after liver transplantation (LT). However, the long-term efficacy of active vaccination and graft/patient outcomes of anti-HBc (+) grafts have yet to be comprehensively investigated. MATERIALS AND METHODS: Among 204 pediatric patients enrolled in the study, 82 recipients received anti-HBc (+) grafts. For DNHB prevention, active vaccination was repeatedly administered prior to transplant. Anti-viral therapy was given to patients with pre-transplant anti-HBs<1000 IU/ ml (non-robust response) for 2 years and discontinued when post-transplant patients achieved anti-HBs>1000 IU/mL, while anti-viral therapy was not given in patients with an anti-HBs titer over 1000 IU/mL. The primary outcome was to investigate the long-term efficacy of active vaccination, while the secondary outcomes included the graft and patient survival rates. RESULTS: Among the 82 anti-HBc (+) transplant patients, 68% of recipients achieved a robust immune response, thus not requiring antiviral therapy. Two patients (2.4%) developed DNHB infection, one of which was due to an escape mutant. With a median follow-up of 150 months, the overall 10-year patient and graft survival rates were significantly worse in recipients of anti-HBc (+) grafts than those of anti-HBc (-) grafts (85.2% vs 93.4%, P=0.026; 85.1% vs 93.4%, P=0.034, respectively). Additionally, the 10-year patient and graft outcomes of the anti-HBc (+) graft recipients were significantly worse than those of the anti-HBc (-) graft recipients after excluding early mortality and non-graft mortality values (90.8% vs 96.6%, P=0.036; 93.0% vs 98.3%, P=0.011, respectively). CONCLUSION: Our long-term follow-up study demonstrates that active vaccination is a simple, cost-effective strategy against DNHB infection in anti-HBc (+) graft patients, whereby the need for life-long antiviral therapy is removed. Notably, both the anti-HBc (+) grafts and patients exhibited inferior long-term survival rates, although the exact mechanisms remain unclear.

Predictive Analysis of Yi-Gai-San's Multifaceted Mechanisms for Tremor-Dominant Parkinson's Disease via Network Pharmacology and Molecular Docking Validation.

INTRODUCTION: Based on comprehensive network-pharmacology and molecular docking analysis, this study was intended to unveil the multiple mechanisms of Yi-- Gai-San (YGS) in treating the tremor-dominant subtype of Parkinson's disease (PDDT). The compounds of YGS were meticulously analyzed, selected, and standardized with references to their pharmacological attributes. Its components included Gouteng (Uncaria rhynchophylla), Chaihu (Radix Bupleuri), Chuanxiong (Chuanxiong Rhizoma), Danggui (Angelicae Sinensis Radix), Fuling (Wolfiporia extensa), Baizhu (Atractylodis macrocephalae rhizoma), and Gancao (Licorice, Glycyrrhizae radix). METHOD: We identified 75 active compounds within YGS. From these, we predicted 110 gene targets, which exhibited a direct association with PD-DT. PPI network results highlighted core target proteins, including TP53, SLC6A3, GAPDH, MAOB, AKT, BAX, IL6, BCL2, PKA, and CASP3. These proteins potentially alleviate PD-DT by targeting inflammation, modulating neuronal cell apoptosis, and regulating the dopamine system. Furthermore, GO and KEGG enrichment analyses emphasized that YGS might influence various mechanisms, such as the apoptotic process, mitochondrial autophagy, Age- Rage signaling, and dopaminergic and serotonergic synapses. The core proteins from the PPI analysis were selected for the docking experiment. RESULT: The docking results demonstrated that the most stable ligand-receptor conformations were kaempferol with CASP3 (-9.5 kcal/mol), stigmasterol with SLC6A3 (-10.5 kcal/mol), shinpterocarpin with BCL2L1 (-9.6 kcal/mol), hirsutine with MAOB (-9.7 kcal/mol), hederagenin with PRKACA (-9.8 kcal/mol), and yatein with GAPDH (-9.8 kcal/mol). These results provide us with research objectives for future endeavors in extracting single compounds for drug manufacturing or in-depth studies on drug mechanisms. CONCLUSION: From these computational findings, we suggested that YGS might mitigate PD-DT via "multi-compounds, multi-targets, and multi-pathways."

Prescription Patterns and Predisposing Factors of Benzodiazepine and Z-Hypnotic Use During Pregnancy: A Nationwide Cohort Study.

PURPOSE: The use of benzodiazepines and Z-hypnotics during pregnancy has raised significant concerns in recent years. However, there are limited data that capture the prescription patterns and predisposing factors in use of these drugs, particularly among women who have been long-term users of benzodiazepines and Z-hypnotics before pregnancy. METHODS: This population-based cohort study comprised 2 930 988 pregnancies between 2004 and 2018 in Taiwan. Women who were dispensed benzodiazepines or Z-hypnotics during pregnancy were identified and further stratified into groups based on their status before pregnancy: long-term users (with a supply of more than 180 days within a year), short-term users (with a supply of less than 180 days within a year), and nonusers. Trends in the use of benzodiazepines or Z-hypnotics and concomitant use with antidepressants or opioids were assessed. Logistic regression models were utilized to identify factors associated with use of these drugs during pregnancy, and interrupted time series analyses (ITSA) were employed to evaluate utilization patterns of these drugs across different pregnancy-related periods. RESULTS: The overall prevalence of benzodiazepine and Z-hypnotic use was 3.5% during pregnancy. Among prepregnancy long-term users, an upward trend was observed. The concomitant use of antidepressants or opioids among exposed women increased threefold (from 8.6% to 23.1%) and sixfold (from 0.3% to 1.7%) from 2004 to 2018, respectively. Women with unhealthy lifestyle behaviors, such as alcohol abuse (OR 2.48; 95% CI, 2.02-3.03), drug abuse (OR 10.34; 95% CI, 8.46-12.64), and tobacco use (OR 2.19; 95% CI, 1.96-2.45), as well as those with psychiatric disorders like anxiety (OR 6.99; 95% CI, 6.77-7.22), insomnia (OR 15.99; 95% CI, 15.55-16.45), depression (OR 9.43; 95% CI, 9.07-9.80), and schizophrenia (OR 21.08; 95% CI, 18.76-23.69), and higher healthcare utilization, were more likely to use benzodiazepines or Z-hypnotics during pregnancy. ITSA revealed a sudden decrease in use of benzodiazepines and Z-hypnotics after recognition of pregnancy (level change -0.55 percentage point; 95% CI, -0.59 to -0.51). In contrast, exposures to benzodiazepines and Z-hypnotics increased significantly after delivery (level change 0.12 percentage point; 95% CI, 0.09 to 0.16). CONCLUSIONS: In this cohort study, an increased trend of benzodiazepine and Z-hypnotic use during pregnancy among prepregnancy long-term users, as well as concomitant use with antidepressants or opioids were found. The findings have highlighted the existence of various risk factors associated with the use of these drugs during pregnancy. Utilization patterns varied across different stages of pregnancy, highlighting the need for prescription guidelines and educational services for women using these drugs during pregnancy.

A single center analysis of long-term outcomes and survival related risk factors in liver retransplantation.

Background: Liver retransplant is the only option to save a patient with liver graft failure. However, it is controversial due to its poor survival outcome compared to primary transplantation. Insufficient deceased organ donation in Taiwan leads to high waitlist mortality. Hence, living-donor grafts offer a valuable alternative for retransplantation. This study aims to analyze the single center's outcome in living donor liver retransplantation (re-LDLT) and deceased donor liver retransplantation (re-DDLT) as well as the survival related confounding risk factors. Methods: This is a single center retrospective study including 32 adults who underwent liver retransplantation (re-LT) from June 2002 to April 2020. The cohort was divided into a re-LDLT and a re-DDLT group and survival outcomes were analyzed. Patient outcomes over different periods, the effect of timing on survival, and multivariate analysis for risk factors were also demonstrated. Results: Of the 32 retransplantations, the re-LDLT group (n=11) received grafts from younger donors (31.3 vs. 43.75 years, P=0.016), with lower graft weights (688 vs. 1,457.2 g, P<0.001) and shorter cold ischemia time (CIT) (45 vs. 313 min, P<0.001). The 5-year survival was significantly better in the re-LDLT group than in the re-DDLT group (100% vs. 70.8%, P=0.02). This difference was adjusted when only retransplantation after 2010 was analyzed. Further analysis showed that the timing of retransplantation (early vs. late) did not affect patient survival. Multivariate analysis revealed that prolonged warm ischemia time (WIT) and intraoperative blood transfusion were related to poor long-term survival. Conclusions: Retransplantation with living donor graft demonstrated good long-term outcomes with acceptable complications to both recipient and donor. It may serve as a choice in areas lacking deceased donors. The timing of retransplantation did not affect the long-term survival. Further effort should be made to reduce WIT and massive blood transfusion as they contributed to poor survival after retransplantation.

Patient stratification based on the risk of severe illness in emergency departments through collaborative machine learning models.

OBJECTIVES: Emergency department (ED) overcrowding presents a global challenge that inhibits prompt care for critically ill patients. Traditional 5-level triage system that heavily rely on the judgment of the triage staff could fail to detect subtle symptoms in critical patients, thus leading to delayed treatment. Unlike previous rivalry-focused approaches, our study aimed to establish a collaborative machine learning (ML) model that renders risk scores for severe illness, which may assist the triage staff to provide a better patient stratification for timely critical cares. METHODS: This retrospective study was conducted at a tertiary teaching hospital. Data were collected from January 2015 to October 2022. Demographic and clinical information were collected at triage. The study focused on severe illness as the outcome. We developed artificial neural network (ANN) models, with or without utilizing the Taiwan Triage and Acuity Scale (TTAS) score as one of the predictors. The model using the TTAS score is termed a machine-human collaborative model (ANN-MH), while the model without it is referred to as a machine-only model (ANN-MO). The predictive power of these models was assessed using the area under the receiver-operating-characteristic (AUROC) and the precision-recall curves (AUPRC); their sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1 score were compared. RESULTS: The study analyzed 668,602 ED visits from 2015 to 2022. Among them, 278,724 visits from 2015 to 2018 were used for model training and validation, while 320,201 visits from 2019 to 2022 were for testing model performance. Approximately 2.6% of visits were by severely ill patients, whose TTAS scores ranged from 1 to 5. The ANN-MH model achieved a testing AUROC of 0.918 and AUPRC of 0.369, while for the ANN-MO model the AUROC and AUPRC were 0.909 and 0.339, respectively. Based on these metrics, the ANN-MH model outperformed the ANN-MO model, and both surpassed human triage classification. Subgroup analyses further highlighted the models' capability to identify higher-risk patients within the same triage level. CONCLUSIONS: The traditional 5-level triage system often falls short, leading to under-triage of critical patients. Our models include a score-based differentiation within a triage level to offer advanced risk stratification, thereby promoting patient safety.

Multispectral Imaging-Based System for Detecting Tissue Oxygen Saturation With Wound Segmentation for Monitoring Wound Healing.

OBJECTIVE: Blood circulation is an important indicator of wound healing. In this study, a tissue oxygen saturation detecting (TOSD) system that is based on multispectral imaging (MSI) is proposed to quantify the degree of tissue oxygen saturation (StO2) in cutaneous tissues. METHODS: A wound segmentation algorithm is used to segment automatically wound and skin areas, eliminating the need for manual labeling and applying adaptive tissue optics. Animal experiments were conducted on six mice in which they were observed seven times, once every two days. The TOSD system illuminated cutaneous tissues with two wavelengths of light - red ([Formula: see text] nm) and near-infrared ([Formula: see text] nm), and StO2 levels were calculated using images that were captured using a monochrome camera. The wound segmentation algorithm using ResNet34-based U-Net was integrated with computer vision techniques to improve its performance. RESULTS: Animal experiments revealed that the wound segmentation algorithm achieved a Dice score of 93.49%. The StO2 levels that were determined using the TOSD system varied significantly among the phases of wound healing. Changes in StO2 levels were detected before laser speckle contrast imaging (LSCI) detected changes in blood flux. Moreover, statistical features that were extracted from the TOSD system and LSCI were utilized in principal component analysis (PCA) to visualize different wound healing phases. The average silhouette coefficients of the TOSD system with segmentation (ResNet34-based U-Net) and LSCI were 0.2890 and 0.0194, respectively. CONCLUSION: By detecting the StO2 levels of cutaneous tissues using the TOSD system with segmentation, the phases of wound healing were accurately distinguished. This method can support medical personnel in conducting precise wound assessments. Clinical and Translational Impact Statement-This study supports efforts in monitoring StO2 levels, wound segmentation, and wound healing phase classification to improve the efficiency and accuracy of preclinical research in the field.

Gender differences in ethmoid sinus morphology_ 3D reconstruction of computed tomographic images.

BACKGROUND: The ethmoid sinus (ES) is a three-dimensional (3D) complex structure, a clear understanding of the ES anatomy is helpful to plan intranasal surgery. However, most prior studies use 2D measurements, which may not accurately depict the 3D structure. The current study measured the gender differences in ES morphology based on 3D reconstruction of computed tomography (CT) images. METHODS: The 3D models were reconstructed using CT images. Twenty-one males and 15 females were enrolled in the study. The ES dimensions, including width, height and aspect ratio (AR) of each cutting-plane section, were measured at 10% increments along with the anteroposterior axis of the ES. The gender differences in the above parameters were further evaluated by an independent t-test. RESULTS: The width of the ES for males is 12.0 ± 2.1 mm, which was significantly greater than that in females (10.0 ± 2.1 mm). The average height for males is 18.4 ± 3.5 mm, and 18.2 ± 3.4 mm for females. The AR of female (male) is around 0.56 (0.63) for the anterior ES and 0.66 (0.75) for the posterior. There are significant differences between genders in the parameters of width and AR (p < 0.05). CONCLUSION: This study found that the aspect ratio greatly varies along the length of ES, indicating that the cross-section of the ES in the anterior is closer to an elliptical shape and turns closer to a circular shape near its posterior. There is a significant difference between genders in width and aspect ratio. The results would be helpful to know the complex anatomic details of the ethmoid sinus.

Clinical Applications of Comprehensive Genomic Profiling in Advanced Non-Small-Cell Lung Cancer-A Case Series.

BACKGROUND: Advanced non-small-cell lung cancer (NSCLC) can be treated with novel targeted therapies that are tailored to the genetic characteristics of malignancy. While tissue-based genomic testing is considered the gold standard for the detection of oncogenic driver mutations, several challenges like inadequate tissue availability, the invasiveness of procuring tumors, and prolonged turnaround time of analysis are encountered. Considering these limitations, guidelines have recognized liquid biopsies using circulating cell-free DNA (cfDNA) as a useful tool to complement conventional tissue testing. Even though cfDNA next-generation sequencing (NGS) can have high sensitivity and specificity, optimal patient benefit requires the interpretation of the molecular profiling results in the context of clinical and diagnostic features to achieve the best outcomes. CASE DESCRIPTIONS: In this case series, we present six patients with advanced NSCLC whose plasma or tissue biopsy samples were analyzed with commercially available comprehensive NGS assays that elucidate the role of testing at various time points in the treatment journey. In all six cases, comprehensive genomic profiling (CGP) provided clinically useful information to guide treatment decisions. CONCLUSION: Adding to the existing real-world evidence, this case series reinforces that CGP-driven treatment strategies in advanced NSCLC, coupled with other available clinical information, can optimize treatment decisions.

Risk factors and crucial prognostic indicators of mortality in liver transplant recipients with bloodstream infections: A comprehensives study of 1049 consecutive liver transplants over an 11-year period.

BACKGROUND: Liver transplantation (LT) is a pivotal treatment for end-stage liver disease. However, bloodstream infections (BSI) in the post-operative period present a significant threat to patient survival. This study aims to identify risk factors for post-LT BSI and crucial prognostic indicators for mortality among affected patients. METHODS: We conducted a retrospective study of adults diagnosed with end-stage liver disease who underwent their initial LT between 2010 and 2021. Those who developed BSI post-LT during the same hospital admission were classified into the BSI group. RESULTS: In this cohort of 1049 patients, 89 (8.4%) developed BSI post-LT, while 960 (91.5%) did not contract any infection. Among the BSI cases, 17 (19.1%) patients died. The average time to BSI onset was 48 days, with 46% occurring within the first month post-LT. Of the 123 isolated microorganisms, 97 (78.8%) were gram-negative bacteria. BSI patients had significantly longer stays in the intensive care unit and hospital compared to non-infected patients. The 90-day and in-hospital mortality rates for recipients with BSI were significantly higher than those without infections. Multivariate analysis indicated heightened BSI risk in patients with blood loss >3000 mL during LT (odds ratio [OR] 2.128), re-operation within 30 days (OR 2.341), post-LT bile leakage (OR 3.536), and graft rejection (OR 2.194). Additionally, chronic kidney disease (OR 6.288), each 1000 mL increase in intraoperative blood loss (OR 1.147) significantly raised mortality risk in BSI patients, whereas each 0.1 mg/dL increase in albumin levels correlated with a lower risk of death from BSI (OR 0.810). CONCLUSIONS: This study underscores the need for careful monitoring and management in the post-LT period, especially for patients at higher risk of BSI. It also suggests that serum albumin levels could serve as a valuable prognostic indicator for outcomes in LT recipients experiencing BSI.

NAMPT enhances LOX expression and promotes metastasis in human chondrosarcoma cells by inhibiting miR-26b-5p synthesis.

Chondrosarcoma is a malignant bone tumor that emerges from abnormalities in cartilaginous tissue and is related with lung metastases. Nicotinamide phosphoribosyltransferase (NAMPT) is an adipocytokine reported to enhance tumor metastasis. Our results from clinical samples and the Gene Expression Omnibus data set reveal that NAMPT levels are markedly higher in chondrosarcoma patients than in normal individuals. NAMPT stimulation significantly increased lysyl oxidase (LOX) production in chondrosarcoma cells. Additionally, NAMPT increased LOX-dependent cell migration and invasion in chondrosarcoma by suppressing miR-26b-5p generation through the c-Src and Akt signaling pathways. Overexpression of NAMPT promoted chondrosarcoma metastasis to the lung in vivo. Furthermore, knockdown of LOX counteracted NAMPT-facilitated metastasis. Thus, the NAMPT/LOX axis presents a novel target for treating the metastasis of chondrosarcoma.

Unraveling RNA Conformation Dynamics in Mitochondrial Encephalomyopathy, Lactic Acidosis, and Stroke-like Episode Syndrome with Solid-State Nanopores.

This study investigates transfer ribonucleic acid (tRNA) conformational dynamics in the context of MELAS (mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes) using solid-state silicon nitride (SiN) nanopore technology. SiN nanopores in thin membranes with specific dimensions exhibit high signal resolution, enabling real-time and single-molecule electronic detection of tRNA conformational changes. We focus on human mitochondrial tRNALeu(UAA) (mt-Leu(UAA)) that decodes Leu codons UUA/UUG (UUR) during protein synthesis on the mt-ribosome. The single A14G substitution in mt-Leu(UAA) is the major cause of MELAS disease. Measurements of current blockades and dwell times reveal distinct conformational dynamics of the wild-type (WT) and the A14G variant of mt-Leu(UAA) in response to the conserved post-transcriptional m1G9 methylation. While the m1G9-modified WT transcript adopts a more stable structure relative to the unmodified transcript, the m1G9-modified MELAS transcript adopts a less stable structure relative to the unmodified transcript. Notably, these differential features were observed at 0.4 M KCl, but not at 3 M KCl, highlighting the importance of experimental settings that are closer to physiological conditions. This work demonstrates the feasibility of the nanopore platform to discern tRNA molecules that differ by a single-nucleotide substitution or by a single methylation event, providing an important step forward to explore changes in the conformational dynamics of other RNA molecules in human diseases.

Clinical performance of ultrasonic backscatter parametric and nonparametric statistics in detecting early hepatic steatosis.

Diagnosis of early hepatic steatosis would allow timely intervention. B-mode ultrasound imaging was in question for detecting early steatosis, especially with a variety of concomitant parenchymal disease. This study aimed to use the surgical specimen as a reference standard to elucidate the clinical performance of ultrasonic echogenicity and backscatter parametric and nonparametric statistics in real-world scenarios. Ultrasound radio-frequency (RF) signals of right liver lobe and patient data were collected preoperatively. Surgical specimen was then used to histologically determine staging of steatosis. A backscatter nonparametric statistic (h), a known backscatter parametric statistic, i.e., the Nakagami parameter (m), and a quantitative echo intensity (env) were calculated. Among the 236 patients included in the study, 93 were grade 0 (<5% fat) and 143 were with steatosis. All the env, m and h statistics had shown significant discriminatory power of steatosis grades (AUC = 0.643-0.907 with p-value < 0.001). Mann-Whitney U tests, however, revealed that only the backscatter statistics m and h were significantly different between the groups of grades 0 and 1 steatosis. The two-way ANOVA showed a significant confounding effect of the elevated ALT on env (p-value = 0.028), but no effect on m or h. Additionally, the severe fibrosis was found to be a significant covariate for m and h. Ultrasonic signals acquired from different scanners were found linearly comparable.

MicroRNA-195-5p Attenuates Intracerebral-Hemorrhage-Induced Brain Damage by Inhibiting MMP-9/MMP-2 Expression.

Intracerebral hemorrhage (ICH) remains a devastating disease with high mortality, and there is a lack of effective strategies to improve functional outcomes. The primary injury of ICH is mechanical damage to brain tissue caused by the hematoma. Secondary injury, resulting from inflammation, red cell lysis, and thrombin production, presents a potential target for therapeutic intervention. Inflammation, crucial in secondary brain injury, involves both cellular and molecular components. MicroRNAs (miRNAs) are vital regulators of cell growth, differentiation, and apoptosis. Their deregulation may lead to diseases, and modulating miRNA expression has shown therapeutic potential, especially in cancer. Recent studies have implicated miRNAs in the pathogenesis of stroke, affecting endothelial dysfunction, neurovascular integrity, edema, apoptosis, inflammation, and extracellular matrix remodeling. Preclinical and human studies support the use of miRNA-directed gene modulation as a therapeutic strategy for ICH. Our study focused on the effects of miR-195 in ICH models. Neurological tests, including the corner turn and grip tests, indicated that miR-195 treatment led to improvements in motor function impairments caused by ICH. Furthermore, miR-195-5p significantly reduced brain edema in the ipsilateral hemisphere and restored blood-brain barrier (BBB) integrity, as shown by reduced Evans blue dye extravasation. These results suggest miR-195-5p's potential in attenuating ICH-induced apoptosis, possibly related to its influence on MMP-9 and MMP-2 expression, enzymes associated with secondary brain injury. The anti-apoptotic effects of miR-195-5p, demonstrated through TUNEL assays, further underscore its therapeutic promise in addressing the secondary brain injury and apoptosis associated with ICH. In conclusion, miR-195-5p demonstrates a significant neuroprotective effect against ICH-induced neural damage, brain edema, and BBB disruption, primarily through the downregulation of MMP-9 and MMP-2. Our findings indicate that miR-195-5p holds therapeutic potential in managing cerebral cell death following ICH.

METTL3-Mediated N6-methyladenosine mRNA Modification and cGAS-STING Pathway Activity in Kidney Fibrosis.

BACKGROUND: Chemical modifications on RNA profoundly impact RNA function and regulation. m6A, the most abundant RNA modification in eukaryotes, plays a pivotal role in diverse cellular processes and disease mechanisms. However, its importance is understudied in human chronic kidney disease (CKD) samples regarding its influence on pathological mechanisms. METHODS: LC-MS/MS and Methylated RNA Immunoprecipitation (MeRIP) sequencing were utilized to examine alterations in m6A levels and patterns in CKD samples. Overexpression of the m6A writer METTL3 in cultured kidney tubular cells was performed to confirm the impact of m6A in tubular cells and explore the biological functions of m6A modification on target genes. Additionally, tubule-specific deletion of Mettl3 (Ksp-Cre Mettl3f/f) mice and the use of anti-sense oligonucleotides inhibiting Mettl3 expression were utilized to reduce m6A modification in an animal kidney disease model. RESULTS: By examining 127 human CKD samples, we observed a significant increase in m6A modification and METTL3 expression in diseased kidneys. Epitranscriptomic analysis unveiled an enrichment of m6A modifications in transcripts associated with the activation of inflammatory signaling pathways, particularly the cGAS-STING pathway. m6A hypermethylation increased mRNA stability in cGAS and STING1, as well as elevated the expression of key proteins within the cGAS-STING pathway. Both the tubule-specific deletion of Mettl3 and the use of anti-sense oligonucleotides to inhibit Mettl3 expression protected mice from inflammation, reduced cytokine expression, decreased immune cell recruitment, and attenuated kidney fibrosis. CONCLUSIONS: Our research revealed heightened METTL3-mediated m6A modification in fibrotic kidneys, particularly enriching the cGAS-STING pathway. This hypermethylation increased mRNA stability for cGAS and STING1, leading to sterile inflammation and fibrosis.

Prognostic impact of elective tracheotomy in resected oral cavity squamous cell carcinoma: A nationwide cohort study.

BACKGROUND: Elective tracheotomy is commonly performed in resected oral squamous cell carcinoma (OCSCC) to maintain airway patency. However, the indications for this procedure vary among surgeons. This nationwide study evaluated the impact of tracheotomy on both the duration of in-hospital stay and long-term survival outcomes in patients with OCSCC. METHODS: A total of 18,416 patients with OCSCC were included in the analysis, comprising 7981 patients who underwent elective tracheotomy and 10,435 who did not. The primary outcomes assessed were 5-year disease-specific survival (DSS) and overall survival (OS). To minimize potential confounding factors, a propensity score (PS)-matched analysis was performed on 4301 patients from each group. The duration of hospital stay was not included as a variable in the PS-matched analysis. RESULTS: Prior to PS matching, patients with tracheotomy had significantly lower 5-year DSS and OS rates compared to those without (71% vs. 82%, p < 0.0001; 62% vs. 75%, p < 0.0001, respectively). Multivariable analysis identified tracheotomy as an independent adverse prognostic factor for 5-year DSS (hazard ratio = 1.10 [1.03-1.18], p = 0.0063) and OS (hazard ratio = 1.10 [1.04-1.17], p = 0.0015). In the PS-matched cohort, the 5-year DSS was 75% for patients with tracheotomy and 76% for those without (p = 0.1488). Five-year OS rates were 66% and 67%, respectively (p = 0.0808). Prior to PS matching, patients with tracheotomy had a significantly longer mean hospital stay compared to those without (23.37 ± 10.56 days vs. 14.19 ± 8.34 days; p < 0.0001). Following PS matching, the difference in hospital stay duration between the two groups remained significant (22.34 ± 10.25 days vs. 17.59 ± 9.54 days; p < 0.0001). CONCLUSIONS: While elective tracheotomy in resected OCSCC patients may not significantly affect survival, it could be associated with prolonged hospital stays.

Predicting Clinically Significant Prostate Cancer Using Urine Metabolomics via Liquid Chromatography Mass Spectrometry.

PURPOSE: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. MATERIALS AND METHODS: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. RESULTS: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88-0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. CONCLUSIONS: Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Development of a risk prediction model for radiation dermatitis following proton radiotherapy in head and neck cancer using ensemble machine learning.

PURPOSE: This study aims to develop an ensemble machine learning-based (EML-based) risk prediction model for radiation dermatitis (RD) in patients with head and neck cancer undergoing proton radiotherapy, with the goal of achieving superior predictive performance compared to traditional models. MATERIALS AND METHODS: Data from 57 head and neck cancer patients treated with intensity-modulated proton therapy at Kaohsiung Chang Gung Memorial Hospital were analyzed. The study incorporated 11 clinical and 9 dosimetric parameters. Pearson's correlation was used to eliminate highly correlated variables, followed by feature selection via LASSO to focus on potential RD predictors. Model training involved traditional logistic regression (LR) and advanced ensemble methods such as Random Forest and XGBoost, which were optimized through hyperparameter tuning. RESULTS: Feature selection identified six key predictors, including smoking history and specific dosimetric parameters. Ensemble machine learning models, particularly XGBoost, demonstrated superior performance, achieving the highest AUC of 0.890. Feature importance was assessed using SHAP (SHapley Additive exPlanations) values, which underscored the relevance of various clinical and dosimetric factors in predicting RD. CONCLUSION: The study confirms that EML methods, especially XGBoost with its boosting algorithm, provide superior predictive accuracy, enhanced feature selection, and improved data handling compared to traditional LR. While LR offers greater interpretability, the precision and broader applicability of EML make it more suitable for complex medical prediction tasks, such as predicting radiation dermatitis. Given these advantages, EML is highly recommended for further research and application in clinical settings.