Phosphorus acquisition, translocation, and redistribution in maize.

Phosphorus (P) is an essential nutrient for crop growth, making it important for maintaining food security as the global population continues to increase. Plants acquire P primarily via the uptake of inorganic phosphate (Pi) in soil through their roots. Pi, which is usually sequestered in soils, is not easily absorbed by plants and represses plant growth. Plants have developed a series of mechanisms to cope with P deficiency. Moreover, P fertilizer applications are critical for maximizing crop yield. Maize is a major cereal crop cultivated worldwide. Increasing its P-use efficiency is important for optimizing maize production. Over the past two decades, considerable progresses have been achieved in research aimed at adapting maize varieties to changes in environmental P supply. Here, we present an overview of the morphological, physiological, and molecular mechanisms involved in P acquisition, translocation, and redistribution in maize, and combine the advances in Arabidopsis and rice, to better elucidate the progress of P nutrition. Additionally, we summarize the correlation between P and abiotic stress responses. Clarifying the mechanisms relevant to improving P absorption and use in maize can guide future research on sustainable agriculture.

Prognostic factors and risk-stratification model of recurrent or metastatic head and neck squamous cell carcinoma treated with cetuximab containing regimen.

BACKGROUND: In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population. METHODS: This study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS. RESULTS: A total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 - 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OS≦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44-13.61), 7.5 months (95% CI 7.33-8.17), and 4.01 months (95% CI 3.94-4.08), respectively, with a log-rank test p-value < 0.001. CONCLUSION: This study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development.

Screening for early Alzheimer's disease: enhancing diagnosis with linguistic features and biomarkers.

Introduction: Research has shown that speech analysis demonstrates sensitivity in detecting early Alzheimer's disease (AD), but the relation between linguistic features and cognitive tests or biomarkers remains unclear. This study aimed to investigate how linguistic features help identify cognitive impairments in patients in the early stages of AD. Method: This study analyzed connected speech from 80 participants and categorized the participants into early-AD and normal control (NC) groups. The participants underwent amyloid-ß positron emission tomography scans, brain magnetic resonance imaging, and comprehensive neuropsychological testing. Participants' speech data from a picture description task were examined. A total of 15 linguistic features were analyzed to classify groups and predict cognitive performance. Results: We found notable linguistic differences between the early-AD and NC groups in lexical diversity, syntactic complexity, and language disfluency. Using machine learning classifiers (SVM, KNN, and RF), we achieved up to 88% accuracy in distinguishing early-AD patients from normal controls, with mean length of utterance (MLU) and long pauses ratio (LPR) serving as core linguistic indicators. Moreover, the integration of linguistic indicators with biomarkers significantly improved predictive accuracy for AD. Regression analysis also highlighted crucial linguistic features, such as MLU, LPR, Type-to-Token ratio (TTR), and passive construction ratio (PCR), which were sensitive to changes in cognitive function. Conclusion: Findings support the efficacy of linguistic analysis as a screening tool for the early detection of AD and the assessment of subtle cognitive decline. Integrating linguistic features with biomarkers significantly improved diagnostic accuracy.

Acupuncture as Adjuvant Therapy for Glaucoma: Protocol for a Randomized Controlled Trial.

BACKGROUND: Glaucoma is a chronic progressive optic neuropathy that necessitates lifelong treatment to reduce the decline of the optic nerve. Due to the extended and continuous treatments required for patients, complementary therapies are often considered alongside conventional treatments to enhance the effectiveness of the treatment. Acupuncture has demonstrated the potential to lower intraocular pressure in previous clinical trials, making it a promising glaucoma intervention. OBJECTIVE: The primary objective of this study is to conduct a single-center randomized control trial involving patients with glaucoma. Acupuncture will be evaluated as an adjunctive therapy. The trial aims to explore its effectiveness for glaucoma. METHODS: In this single-center randomized controlled trial, participants (N=50) with primary open-angle glaucoma will be randomly assigned to the treatment group, receiving ophthalmic acupuncture with "De Qi" sensation, or the control group, receiving minimum acupuncture stimulation on nonophthalmic acupoints. The intervention will consist of weekly acupuncture treatments for a total of 6 sessions. Participants will be assessed at 8 time points, which are baseline, during the intervention (6 times), and at a 3-month follow-up. The primary outcome measure is a change in the intraocular pressure before and after each acupuncture treatment. Secondary outcomes will include measurements of heart rate and blood pressure before and after acupuncture, best-corrected visual acuity, visual field, optical coherence tomography, optical coherence tomography angiography, the Glaucoma Symptom Scale, and the Glaucoma Quality of Life-15 questionnaire. RESULTS: Recruitment of participants for the trial commenced on June 28, 2023. A total of 10 participants have been enrolled to test the feasibility of the experiment. We anticipate that the preliminary data from this trial will be completed by December 2025. CONCLUSIONS: This trial uses rigorous methodology and comprehensive outcome measurements to assess the clinical efficacy of acupuncture as an adjunctive therapy for glaucoma, providing valuable insights for future clinical treatment guidelines. TRIAL REGISTRATION: ClinicalTrials.gov NCT05753137; https://clinicaltrials.gov/study/NCT05753137. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57888.

An unidentified yet notable modification on I Na and I K (DR) caused by ramelteon.

Despite advancement in anti-seizure medications, 30% of patients continue to experience recurrent seizures. Previous data indicated the antiepileptic properties of melatonin and its agonists in several animal models. However, the underlying mechanisms of melatonin and its agonists on cellular excitability remain poorly understood. In this study, we demonstrated the electrophysiological changes of two main kinds of ion channels that are responsible for hyperexcitability of neurons after introduction of melatonin agonists- ramelteon (RAM). In Neuro-2a cells, the amplitude of voltage-gated Na+ (I Na) and delayed-rectifier K+ currents (I K (DR)) could be suppressed under RAM. The IC50 values of 8.7 and 2.9 µM, respectively. RAM also diminished the magnitude of window Na+ current (I Na (W)) elicited by short ascending ramp voltage, with unchanged the overall steady-state current-voltage relationship. The decaying time course of I Na during a train of depolarizing pulses arose upon the exposure to RAM. The conditioning train protocol which blocked I Na fitted the recovery time course into two exponential processes and increased the fast and slow time constant of recovery the presence of RAM. In pituitary tumor (GH3) cells, I Na amplitude was also effectively suppressed by the RAM. In addition, GH3-cells exposure to RAM decreased the firing frequency of spontaneous action potentials observed under current-clamp conditions. As a result, the RAM-mediated effect on INa was closely associated with its ability to decrease spontaneous action potentials. Collectively, we found the direct attenuation of I Na and I K (DR) caused by RAM besides the agonistic action on melatonin receptors, which could partially explain its anti-seizure activity.

Male Sex and Ageing are Independent Risk Factors for Sarcopenia Stage in Patients With Chronic Kidney Disease Not Yet on Dialysis.

BACKGROUND: The risk of sarcopenia in older adults with chronic kidney disease (CKD) not yet on dialysis is controversial. The aims of this study were to investigate the association among sarcopenia, diabetes and predialysis CKD and evaluate the impact of gender and ageing on the risk of sarcopenia statuses in older patients with predialysis CKD. METHODS: The participants aged ≥60 years old were recruited from the community of New Taipei City, Taiwan. Handgrip strength, appendicular skeletal muscle mass and the 6-m walk were measured. The diagnosis of sarcopenia was established based on the consensus of Asian Sarcopenia Working Group 2019. These older adults were categorised into G1, G2 and G3-5 according to the guidelines of Kidney Disease Improving Global Outcomes (KDIGO) after calculating the estimated glomerular filtration rate by the Modification of Diet in Renal Disease equation. The Chi-square test and ANOVA were used to estimate the difference of categorical and continuous variables, respectively. Polytomous logistic regression was employed to assess the odds ratio (OR) and 95% confidence intervals (CIs) of the sarcopenia status and sarcopenia-associated risk factors in the predialysis CKD patients. All tests were two-sided, and p < 0.05 was defined as statistical significance. RESULTS: Among the 3648 older adults (mean age: 71.9 ± 6.07 years), including 1701 males and 1947 females, 870 (23.9%), 94 (2.58%) and 48 (1.32%) had possible sarcopenia, sarcopenia and severe sarcopenia, respectively. After adjustment, the risk for possible sarcopenia, sarcopenia and severe sarcopenia significantly increased with ageing (OR = 1.11, 1.10 and 1.23; 95% CI = 1.10-1.13, 1.07-1.15 and 1.18-1.30, respectively) and male gender (OR = 2.26, 20.3 and 25.4; 95% CI = 1.87-2.73, 11.5-36.0 and 11.3-57.2, respectively). Compared with KDIGO G1, no significant association between KDIGO G3-5 and the statuses of sarcopenia was observed (OR = 0.97, 0.88 and 0.91; 95% CI = 0.75-1.26, 0.43-1.78 and 0.37-2.27, p = 0.821, 0.718, 0.838, for possible sarcopenia, sarcopenia and severe sarcopenia, respectively). Ageing and male gender indicated a significant risk for higher sarcopenia status in older patients with predialysis CKD (0.027-fold/year and 0.284-fold, respectively) (p < 0.0001). CONCLUSIONS: This study illuminated the importance of the male sex and the ageing process on the risk of sarcopenia progression in patients with predialysis CKD. Early clinical screening and aggressive treatment for the prevention of higher sarcopenia status in advanced older male adults with predialysis CKD are recommended.

circ_SMA4 promotes gastrointestinal stromal tumors malignant progression by sponging miR-494-3p/KIT axis and activating JAK/STAT pathway.

Recent evidence has demonstrated that abnormal expression and regulation of circular RNA (circRNAs) are implicated in the development and progression of various tumors. The aim of this study was to investigate the effects of circ_SMA4 in Gastrointestinal Stromal Tumors (GISTs) malignant progression. Human circRNAs microarray analysis was conducted to identify differentially expressed (DE) circRNAs in GISTs. The effect of circ_SMA4 on cell proliferation, invasion, migration, and apoptosis was assessed in both in vitro and in vivo settings. Dual-luciferase reporter assay, RT-qPCR, Western-blot, and rescue assay were employed to confirm the interaction between circ_SMA4/miR-494-3p/ KIT axis. The results revealed that circ_SMA4 was significantly upregulated in GISTs, and exhibited high diagnostic efficiency with an AUC of 0.9824 (P < 0.01). circ_SMA4 promoted cell proliferation, invasion, migration, while inhibiting apoptosis in GISTs cells, both in vitro and in vivo. Silencing circ_SMA4 partially inhibited GISTs malignant progression. Additionally, circ_SMA4 acted as a competing endogenous RNA (ceRNA) by targeting miR-494-3p, and KIT was identified as a functional gene for miR-494-3p in GISTs. Furthermore, the results confirmed that circ_SMA4/miR-494-3p/ KIT axis plays a role in activating the JAK/STAT signaling pathway in GISTs. Therefore, for the first time, we have identified and emphasized that circ_SMA4 is significantly upregulated and plays an oncogenic role in GISTs by sponging miR-494-3p to activate the KIT/JAK/STAT pathway. These findings underscore circ_SMA4 may serve as a novel diagnostic biomarker and therapeutic target for GISTs.

Flexible Temperature Sensor with High Reproducibility and Wireless Closed-Loop System for Decoupled Multimodal Health Monitoring and Personalized Thermoregulation.

Temperature and pulse waves are two fundamental indicators of body health. Specifically, thermoresistive flexible temperature sensors are one of the most applied sensors. However, they suffer from poor reproducibility of resistivity; and decoupling temperature from pressure/strain is still challenging. Besides, autonomous thermoregulation by wearable sensory systems is in high demand, but conventional commercial apparatuses are cumbersome and not suitable for long-term portable use. Here, a material-design strategy is developed to overcome the problem of poor reproducibility of resistivity by tuning the thermal expansion coefficient to nearly zero, precluding the detriment caused by shape expansion/shrinkage with temperature variation and achieving high reproducibility. The strategy also obtains more reliable sensitivity and higher stability, and the designed thermoresistive fiber has strain-insensitive sensing performance and fast response/recovery time. A smart textile woven by the thermoresistive fiber can decouple temperature and pulse without crosstalk; and a flexible wireless closed-loop system comprising the smart textile, a heating textile, a flexible diminutive control patch, and a smartphone is designed and constructed to monitor health status in real-time and autonomously regulate body temperature. This work offers a new route to circumvent temperature-sensitive effects for flexible sensors and new insights for personalized thermoregulation.

Gender-specific microbial signatures in saliva: Unveiling the association between the oral microbiome and the pathogenesis of glioma.

The intricate interplay between the human oral microbiome and systemic health is increasingly being recognized, particularly in the context of central nervous system pathologies such as glioblastoma. In this study, we aimed to elucidate gender-specific differences in the salivary microbiome of glioma patients by utilizing 16S rRNA sequencing data from publicly available salivary microbiome datasets. We conducted comprehensive bioinformatics analysis, encompassing quality control, noise reduction, species classification, and microbial community composition analysis at various taxonomic levels. Machine learning algorithms were employed to identify microbial signatures associated with glioma. When compared to healthy controls, our analysis revealed distinct differences in the salivary microbiota of glioma patients. Notably, the genera Leptotrichia and Atopobium exhibited significant variations in abundance between genders. Leptotrichia was prevalent in healthy females but exhibited a reduced abundance in female glioma patients. In contrast, Atopobium was more abundant in male glioma patients. These findings suggest that hormonal influences might play a role in shaping the salivary microbiome and its association with glioma. We utilized a combination of LASSO-logistic regression and random forest models for feature selection, and identified key microbial features that differentiated glioma patients from healthy controls. We developed a diagnostic model with high predictive accuracy and area under the curve and principal component analysis metrics confirmed its robustness. The analysis of microbial markers, including Atopobium and Leptotrichia, highlighted the potential of the salivary microbiota as a non-invasive biomarker for the diagnosis and prognosis of glioma. Our findings highlight significant gender-specific disparities in the salivary microbiome of patients with glioma, offering new insights into the pathogenesis of glioma and paving the way for innovative diagnostic and therapeutic strategies. The use of saliva as a diagnostic fluid, given its ease of collection and non-invasive nature, holds immense promise for monitoring systemic health and the trajectory of disease. Future research should focus on investigating the underlying mechanisms by which the salivary microbiome influences the development of glioma and identifying potential microbiome-targeted therapies to enhance the management of glioma.

The impact of the COVID-19 pandemic on dyslipidemia in peritoneal dialysis patients.

BACKGROUND: The COVID-19 pandemic has had a profound impacted on various aspects of society, including the healthcare system and patient care. In this context, this study aims to evaluate the impact of COVID-19 control strategies on the lipid profile and blood sugar levels of peritoneal dialysis (PD) patients in Taiwan, a crucial focus for understanding the pandemic's influence on individuals with chronic kidney disease (CKD). METHODS: A retrospective cohort study was conducted, analyzing data from the medical records of 170 PD patients who visited the nephrology division of Taipei Veterans General Hospital in 2021. The generalized estimating equations method was used to analyze the longitudinal data and assess the changes in biomarker levels over different periods. Covariates were taken into consideration in the statistical models. The data were analyzed using R 4.3.0. RESULTS: The study enrolled 70 males (41%) and 100 females (59%), with an average age of 56 years old. Over 12 months in 2021, from the first period (January-April: pre-COVID-19) to the second period (May-August: COVID-19 surge), there was a notable decline in both high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels, and a significant surge in triglyceride (TG) levels. However, total cholesterol (TC) and hemoglobin (HbA1c) levels remained stable. Furthermore, the TG to HDL, TG to LDL, TC to HDL, and TC to LDL ratios were analyzed, revealing a pronounced increase during the second period. CONCLUSION: Our findings underscore the significant impact of COVID-19 pandemic-related disruptions in the healthcare system and the subsequent management strategies on dyslipidemia in PD patients while not affecting dysglycemia. These results provide valuable insights for healthcare professionals to enhance their strategies and interventions for CKD patients undergoing PD during a pandemic.

Neural stem cells derived from α-synuclein-knockdown iPS cells alleviate Parkinson's disease.

Stem cells have the potential to replace damaged or defective cells and assist in the development of treatments for neurodegenerative diseases, including Parkinson's disease (PD) and Alzheimer's disease. iPS cells derived from patient-specific somatic cells are not only ethically acceptable, but they also avoid complications relating to immune rejection. Currently, researchers are developing stem cell-based therapies for PD using induced pluripotent stem (iPS) cells. iPS cells can differentiate into cells from any of the three germ layers, including neural stem cells (NSCs). Transplantation of neural stem cells (NSCs) is an emerging therapy for treating neurological disorders by restoring neuronal function. Nevertheless, there are still challenges associated with the quality and source of neural stem cells. This issue can be addressed by genetically edited iPS cells. In this study, shRNA was used to knock down the expression of mutant α-synuclein (SNCA) in iPS cells that were generated from SNCA A53T transgenic mice, and these iPS cells were differentiated to NSCs. After injecting these NSCs into SNCA A53T mice, the therapeutic effects of these cells were evaluated. We found that the transplantation of neural stem cells produced from SNCA A53T iPS cells with knocking down SNCA not only improved SNCA A53T mice coordination abilities, balance abilities, and locomotor activities but also significantly prolonged their lifespans. The results of this study suggest an innovative therapeutic approach that combines stem cell therapy and gene therapy for the treatment of Parkinson's disease.

Prosthodontic rehabilitation with all-on-four implant treatment combined CAD/CAM prosthesis in an oral cancer patient: a case report.

BACKGROUND: The microvascular free fibula (MFF) flap is a reliable treatment modality for mandibular reconstruction and is suitable for dental implant placement after oncologic surgery. The most common issue with the MFF flap is its limited bone height, which typically results in excessive interarch space and complicates prosthodontic therapy. Overcoming the physical limitations from tumor excision and reducing the treatment time for prosthodontic rehabilitation to improve quality of life are critical clinical challenges. CASE PRESENTATION: A 64-year-old male with lower left gum and bilateral buccal cancer received a single-layer microvascular MFF flap to reconstruct a mandibular defect post-tumor excision. He underwent a bilateral modiolus Z-plasty combined with a skin flap debulking procedure to relieve oral contracture, achieving adequate mouth opening for prosthodontic rehabilitation. Scar tissue bands on the bilateral cheeks significantly affected retention and stability, hampering dental impression performance. The patient sought prosthodontic rehabilitation to enhance his chewing function and quality of life promptly. Prosthodontic rehabilitation with all-on-4 implant therapy, utilizing computer-aided design and computer-assisted manufacturing (CAD/CAM), was completed within one month. CONCLUSION: This case utilized the all-on-4 implant system to address the insufficient fibular height for conventional dental implant placements. Dental CAD/CAM was employed to mill custom prosthetic abutments and a large titanium framework for the implant bar overdenture, compensating for the excessive interarch space between the grafted fibula and maxilla. This treatment approach successfully shortened the prosthodontic rehabilitation time and overcame anatomical limitations.

Sushi Domain Containing 2 Dysfunction Contributes to Cancer Progression in Patients with Bladder Cancer.

Bladder cancer is the most prevalent type of cancer in Taiwan, and therefore, enhancing the diagnostic sensitivity of biomarkers for early-stage tumors and identifying therapeutic targets to improve patient survival rates are essential. Although Sushi Domain Containing 2 (SUSD2) dysfunction has been identified in several types of human cancer, its biological role in bladder cancer remains unclear. Analysis of The Cancer Genome Atlas revealed significantly higher expression of SUSD2 mRNA in bladder cancer tissues than in adjacent normal tissues. This elevated expression of SUSD2 significantly correlated with pathological stage (p = 0.029), pN stage (p < 0.001), and pM stage (p = 0.047). Univariate analysis revealed that high SUSD2 expression was associated with decreased overall survival (crude hazard ratio = 1.70, 95% confidence interval = 1.13-2.56, p = 0.01). Multivariate analysis revealed a significant correlation between high SUSD2 expression and poor survival outcomes (adjusted hazard ratio = 1.53, 95% confidence interval = 1.01-2.31, p = 0.043). IHC analysis revealed a significant correlation between elevated SUSD2 protein levels and unfavorable pathological stages (p < 0.001). SUSD2 suppression significantly reduced the proliferation, colony formation, and invasion of bladder cancer cells. In addition, cell cycle analysis revealed that SUSD2 knockdown induced G2/M phase arrestin bladder cancer cells. Tumor Immune Estimation Resource analysis indicated that expression of SUSD2 was significantly associated with macrophage infiltration and M2 macrophage polarization in bladder cancer. In addition, miR-383-5p directly targeted the 3'UTR of SUSD2, with its ectopic expression inhibiting the growth and motility of bladder cancer cells. Our study revealed that miR-383-5p/SUSD2 axis dysfunction may contribute to a poor prognosis for bladder cancer by affecting cell growth, metastasis, and the tumor microenvironment.

Mild cognitive impairment prediction based on multi-stream convolutional neural networks.

BACKGROUND: Mild cognitive impairment (MCI) is the transition stage between the cognitive decline expected in normal aging and more severe cognitive decline such as dementia. The early diagnosis of MCI plays an important role in human healthcare. Current methods of MCI detection include cognitive tests to screen for executive function impairments, possibly followed by neuroimaging tests. However, these methods are expensive and time-consuming. Several studies have demonstrated that MCI and dementia can be detected by machine learning technologies from different modality data. This study proposes a multi-stream convolutional neural network (MCNN) model to predict MCI from face videos. RESULTS: The total effective data are 48 facial videos from 45 participants, including 35 videos from normal cognitive participants and 13 videos from MCI participants. The videos are divided into several segments. Then, the MCNN captures the latent facial spatial features and facial dynamic features of each segment and classifies the segment as MCI or normal. Finally, the aggregation stage produces the final detection results of the input video. We evaluate 27 MCNN model combinations including three ResNet architectures, three optimizers, and three activation functions. The experimental results showed that the ResNet-50 backbone with Swish activation function and Ranger optimizer produces the best results with an F1-score of 89% at the segment level. However, the ResNet-18 backbone with Swish and Ranger achieves the F1-score of 100% at the participant level. CONCLUSIONS: This study presents an efficient new method for predicting MCI from facial videos. Studies have shown that MCI can be detected from facial videos, and facial data can be used as a biomarker for MCI. This approach is very promising for developing accurate models for screening MCI through facial data. It demonstrates that automated, non-invasive, and inexpensive MCI screening methods are feasible and do not require highly subjective paper-and-pencil questionnaires. Evaluation of 27 model combinations also found that ResNet-50 with Swish is more stable for different optimizers. Such results provide directions for hyperparameter tuning to further improve MCI predictions.

Phospholipid peroxidation in macrophage confers tumor resistance by suppressing phagocytic capability towards ferroptotic cells.

Ferroptosis holds significant potential for application in cancer therapy. However, ferroptosis inducers are not cell-specific and can cause phospholipid peroxidation in both tumor and non-tumor cells. This limitation greatly restricts the use of ferroptosis therapy as a safe and effective anticancer strategy. Our previous study demonstrated that macrophages can engulf ferroptotic cells through Toll-like receptor 2 (TLR2). Despite this advancement, the precise mechanism by which phospholipid peroxidation in macrophages affects their phagocytotic capability during treatment of tumors with ferroptotic agents is still unknown. Here, we utilized flow sorting combined with redox phospholipidomics to determine that phospholipid peroxidation in tumor microenvironment (TME) macrophages impaired the macrophages ability to eliminate ferroptotic tumor cells by phagocytosis, ultimately fostering tumor resistance to ferroptosis therapy. Mechanistically, the accumulation of phospholipid peroxidation in the macrophage endoplasmic reticulum (ER) repressed TLR2 trafficking to the plasma membrane and caused its retention in the ER by disrupting the interaction between TLR2 and its chaperone CNPY3. Subsequently, this ER-retained TLR2 recruited E3 ligase MARCH6 and initiated the proteasome-dependent degradation. Using redox phospholipidomics, we identified 1-steaoryl-2-15-HpETE-sn-glycero-3-phosphatidylethanolamine (SAPE-OOH) as the crucial mediator of these effects. Conclusively, our discovery elucidates a novel molecular mechanism underlying macrophage phospholipid peroxidation-induced tumor resistance to ferroptosis therapy and highlights the TLR2-MARCH6 axis as a potential therapeutic target for cancer therapy.

Hepatic microcirculatory disturbance in liver diseases: intervention with traditional Chinese medicine.

The liver, a complex parenchymal organ, possesses a distinctive microcirculatory system crucial for its physiological functions. An intricate interplay exists between hepatic microcirculatory disturbance and the manifestation of pathological features in diverse liver diseases. This review updates the main characteristics of hepatic microcirculatory disturbance, including hepatic sinusoidal capillarization, narrowing of sinusoidal space, portal hypertension, and pathological angiogenesis, as well as their formation mechanisms. It also summarized the detection methods for hepatic microcirculation. Simultaneously, we have also reviewed the characteristics of microcirculatory disturbance in diverse liver diseases such as acute liver failure, hepatic ischemia-reperfusion injury, viral hepatitis, non-alcoholic fatty liver disease, hepatic fibrosis, hepatic cirrhosis, and hepatocellular carcinoma. Finally, this review also summarizes the advancement in hepatic microcirculation attributed to traditional Chinese medicine (TCM) and its active metabolites, providing novel insights into the application of TCM in treating liver diseases.

Multiple Transcriptomic Analyses Explore Potential Synaptic Biomarker Rabphilin-3A for Alzheimer's Disease.

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder afflicting the elderly population worldwide. The identification of potential gene candidates for AD holds promises for diagnostic biomarkers and therapeutic targets. Employing a comprehensive strategy, this study integrated transcriptomic data from diverse data sources, including microarray and single-cell datasets from blood and tissue samples, enabling a detailed exploration of gene expression dynamics. Through this thorough investigation, 19 notable candidate genes were found with consistent expression changes across both blood and tissue datasets, suggesting their potential as biomarkers for AD. In addition, single cell sequencing analysis further highlighted their specific expression in excitatory and inhibitory neurons, the primary functional units in the brain, underscoring their relevance to AD pathology. Moreover, the functional enrichment analysis revealed that three of the candidate genes were downregulated in synaptic signaling pathway. Further validation experiments significantly showed reduced levels of rabphilin-3A (RPH3A) in 3xTg-AD model mice, implying its role in disease pathogenesis. Given its role in neurotransmitter exocytosis and synaptic function, further investigation into RPH3A and its interactions with neurotrophic proteins may provide valuable insights into the complex molecular mechanisms underlying synaptic dysfunction in AD.

Micropeptide MPM regulates cardiomyocyte proliferation and heart growth via the AKT pathway.

The role of micropeptide in cardiomyocyte proliferation remains unknown. We found that MPM (micropeptide in mitochondria) was highly expressed in cardiomyocytes. Compared to MPM+/+ mice, MPM knockout (MPM-/-) mice exhibited reduction in left ventricular (LV) mass, myocardial thickness and LV fractional shortening. RNA-sequencing analysis in H9c2, a rat cardiomyocyte cell line, identified downregulation of cell cycle-promoting genes as the most significant alteration in MPM-silencing cells. Consistently, gain- and loss-of-function analyses in H9c2 cells revealed that cardiomyocyte proliferation was repressed by silencing MPM but was promoted by overexpressing MPM. Moreover, the cardiomyocytes in the hearts of MPM-/- mice displayed reduced proliferation rates. Mechanism investigations disclosed that MPM is crucial for AKT activation in cardiomyocytes. We also identified an interaction between MPM and PTPMT1, and found that silencing PTPMT1 attenuated the effect of MPM in activating the AKT pathway, whereas inhibition of the AKT pathway abrogated the role of MPM in promoting cardiomyocyte proliferation. Collectively, these results indicate that MPM may promote cardiomyocyte proliferation and thus heart growth by interacting with PTPMT1 to activate the AKT pathway. Our findings identify the novel function and regulatory network of MPM and highlight the importance of micropeptides in cardiomyocyte proliferation and heart growth.

CT-guided online adaptive stereotactic body radiotherapy for pancreas ductal adenocarcinoma: Dosimetric and initial clinical experience.

Purpose/Objectives: Retrospective analysis suggests that dose escalation to a biologically effective dose of more than 70 Gy may improve overall survival in patients with pancreatic ductal adenocarcinoma (PDAC), but such treatments in practice are limited by proximity of organs at risk (OARs). We hypothesized that CT-guided online adaptive radiotherapy (OART) can account for interfraction movement of OARs and allow for safe delivery of ablative doses. Materials/Methods: This is a single institution retrospective analysis of patients with PDAC treated with OART on the Ethos platform (Varian Medical Systems, a Siemens Healthineers Company, Palo Alto). All patients were treated to 40 Gy in 5 fractions. PTV overlapping with a 5 mm planning risk volume expansion on the stomach, duodenum and bowel received 25 Gy. Initial treatment plans were created conventionally. For each fraction, PTV and OAR volumes were recontoured with AI assistance after initial cone beam CT (CBCT). The adapted plan was calculated, underwent QA, and then compared to the scheduled plan. A second CBCT was obtained prior to delivery of the selected plan. Total treatment time (first CBCT to end of radiation delivery) and active physician time (first to second CBCT) were recorded. PTV_4000 V95 %, PTV_2500 V9 5%, and D0.03 cc to stomach, duodenum and bowel were reported for scheduled (S) and adapted (A) plans. CTCAEv5.0 toxicities were recorded. Statistical analysis was performed using a two-sided T test and α of 0.05. Results: 21 patients with unresectable or locally-recurrent PDAC were analyzed, with a total of 105 fractions. Average total time was 29 min and 16 s (16:36-49:40) and average active physician time was 19:41 min (9:25-39:34). All fractions were treated with adapted plans. 97 % of adapted plans met PTV_4000 V95.0 % >95.0 % coverage goal and 100 % of adapted plans met OAR dose constraints. Median follow up was 6.6 months. Only 1 patient experienced acute grade 3+ toxicity directly attributable to radiation. Only 1 patient experienced late grade 3+ toxicity directly attributable to radiation. Conclusions: Daily CT-based OART was associated with significantly reduced dose OARs while achieving superior PTV coverage. Given the relatively quick total treatment time, radiation delivery was generally well tolerated and easily incorporated into the clinic workflow. Our initial clinical experience demonstrates OART allows for safe dose escalation in the treatment of PDAC.

Circulating MicroRNAs as a biomarker signature of perinatal asphyxia.

AIM: This study aimed to explore whether microRNAs (miRNAs) could serve as biomarkers of perinatal asphyxia and whether they were correlated with severity of brain magnetic resonance imaging. METHODS: We prospectively enrolled 26 full-term newborns, including 10 with perinatal asphyxia and 16 healthy controls. Plasma samples were collected at 0-6 h and 7 days of age. Encephalopathy was classified according to modified Sarnat staging. Magnetic resonance imaging was performed in surviving infants within 30 days of birth, and a score was established. We used next-generation sequencing to explore differentially expressed miRNAs, which were then further validated using quantitative reverse transcription real-time polymerase chain reaction (RT-PCR). RESULTS: A significantly lower expression of miR-486-5p was found at 0-6 h of age in the asphyxiated newborns compared with the healthy controls (p = 0.005). The area under the receiver operating characteristic curve (AUC) of miR-486-5p at 0-6 h of age to differentiate the perinatal asphyxia group from the healthy control group was 0.831, and the AUC to differentiate newborns eligible for therapeutic hypothermia from others was 0.782. In addition, a lower expression of miR-486-5p at 7 days of age was noted in the asphyxiated newborns with adverse outcomes compared to those with normal outcomes. CONCLUSION: MiR-486-5p may be a biomarker of perinatal asphyxia in newborns, and further research is warranted to clarify its role.