Substrate diversity of NSUN enzymes and links of 5-methylcytosine to mRNA translation and turnover.

Maps of the RNA modification 5-methylcytosine (m5C) often diverge markedly not only because of differences in detection methods, data depand analysis pipelines but also biological factors. We re-analysed bisulfite RNA sequencing datasets from five human cell lines and seven tissues using a coherent m5C site calling pipeline. With the resulting union list of 6,393 m5C sites, we studied site distribution, enzymology, interaction with RNA-binding proteins and molecular function. We confirmed tRNA:m5C methyltransferases NSUN2 and NSUN6 as the main mRNA m5C "writers," but further showed that the rRNA:m5C methyltransferase NSUN5 can also modify mRNA. Each enzyme recognises mRNA features that strongly resemble their canonical substrates. By analysing proximity between mRNA m5C sites and footprints of RNA-binding proteins, we identified new candidates for functional interactions, including the RNA helicases DDX3X, involved in mRNA translation, and UPF1, an mRNA decay factor. We found that lack of NSUN2 in HeLa cells affected both steady-state levels of, and UPF1-binding to, target mRNAs. Our studies emphasise the emerging diversity of m5C writers and readers and their effect on mRNA function.

Molecular insights into MpAGO1 and its regulatory miRNA, miR11707, in the high-temperature acclimation of Marchantia polymorpha.

As a model plant for bryophytes, Marchantia polymorpha offers insights into the role of RNA silencing in aiding early land plants navigate the challenges posed by high-temperature environments. Genomic analysis revealed unique ARGONAUTE1 ortholog gene (MpAGO1) in M. polymorpha that is regulated by two species-specific microRNAs (miRNAs), miR11707.1 and miR11707.2. Comparative studies of small RNA profiles from M. polymorpha cellular and MpAGO1 immunoprecipitation (MpAGO1-IP) profiles at various temperatures, along with analyses of Arabidopsis AGO1 (AtAGO1), revealed that MpAGO1 has a low-selectivity for a diverse range of small RNA species than AtAGO1. Protein structural comparisons revealed no discernible differences in the MID domains of MpAGO1 and AtAGO1, suggesting the complexity of miRNA species specificity and necessitating further exploration. Small RNA profiling and size exclusion chromatography have pinpointed a subset of M. polymorpha miRNAs, notably miR11707, that remain in free form within the cell at 22°C but are loaded into MpAGO1 at 28°C to engage in RNA silencing. Investigations into the mir11707 gene editing (mir11707ge) mutants provided evidence of the regulation of miR11707 in MpAGO1. Notably, while MpAGO1 mRNA expression decreases at 28°C, the stability of the MpAGO1 protein and its associated miRNAs is essential for enhancing the RISC activity, revealing the importance of RNA silencing in enabling M. polymorpha to survive thermal stress. This study advances our understanding of RNA silencing in bryophytes and provides groundbreaking insights into the evolutionary resilience of land plants to climatic adversities.

Cell-Electrode Models for Impedance Analysis of Epithelial and Endothelial Monolayers Cultured on Microelectrodes.

Electric cell-substrate impedance sensing has been used to measure transepithelial and transendothelial impedances of cultured cell layers and extract cell parameters such as junctional resistance, cell-substrate separation, and membrane capacitance. Previously, a three-path cell-electrode model comprising two transcellular pathways and one paracellular pathway was developed for the impedance analysis of MDCK cells. By ignoring the resistances of the lateral intercellular spaces, we develop a simplified three-path model for the impedance analysis of epithelial cells and solve the model equations in a closed form. The calculated impedance values obtained from this simplified cell-electrode model at frequencies ranging from 31.25 Hz to 100 kHz agree well with the experimental data obtained from MDCK and OVCA429 cells. We also describe how the change in each model-fitting parameter influences the electrical impedance spectra of MDCK cell layers. By assuming that the junctional resistance is much smaller than the specific impedance through the lateral cell membrane, the simplified three-path model reduces to a two-path model, which can be used for the impedance analysis of endothelial cells and other disk-shaped cells with low junctional resistances. The measured impedance spectra of HUVEC and HaCaT cell monolayers nearly coincide with the impedance data calculated from the two-path model.

Targeting the CDK7-MDK axis to suppresses irinotecan resistance in colorectal cancer.

AIMS: Colorectal cancer (CRC) remains a major global health issue, with metastatic cases presenting poor prognosis despite advances in chemotherapy and targeted therapy. Irinotecan, a key drug for advanced CRC treatment, faces challenges owing to the development of resistance. This study aimed to understand the mechanisms underlying irinotecan resistance in colorectal cancer. MAIN METHODS: We created a cell line resistant to irinotecan using HT29 cells. These resistant cells were utilized to investigate the role of the CDK7-MDK axis. We employed bulk RNA sequencing, conducted in vivo experiments with mice, and analyzed patient tissues to examine the effects of the CDK7-MDK axis on the cellular response to irinotecan. KEY FINDINGS: Our findings revealed that HT29 cells resistant to irinotecan, a crucial colorectal cancer medication, exhibited significant phenotypic and molecular alterations compared to their parental counterparts, including elevated stem cell characteristics and increased levels of cytokines and drug resistance proteins. Notably, CDK7 expression was substantially higher in these resistant cells, and targeting CDK7 effectively decreased their survival and tumor growth, enhancing irinotecan sensitivity. RNA-seq analysis indicated that suppression of CDK7 in irinotecan-resistant HT29 cells significantly reduced Midkine (MDK) expression. Decreased CDK7 and MDK levels, achieved through siRNA and the CDK7 inhibitor THZ1, enhanced the sensitivity of resistant HT29 cells to irinotecan. SIGNIFICANCE: Our study sheds light on how CDK7 and MDK influence irinotecan resistance in colorectal and highlights the potential of MDK-targeted therapies. We hypothesized that irinotecan sensitivity and overall treatment efficacy would improve by inhibiting MDK. This finding encourages a careful yet proactive investigation of MDK as a therapeutic target to enhance outcomes in colorectal cancer patients.

Oxytocin treatment rescues irritability-like behavior in Cc2d1a conditional knockout mice.

Irritability, a state of excessive reactivity to negative emotional stimuli, is common in individuals with autism spectrum disorder (ASD). Although it has a significant negative impact of patients' disease severity and quality of life, the neural mechanisms underlying irritability in ASD remain largely unclear. We have previously demonstrated that male mice lacking the Coiled-coil and C2 domain containing 1a (Cc2d1a) in forebrain excitatory neurons recapitulate numerous ASD-like behavioral phenotypes, including impaired social behaviors and pronounced repetitive behaviors. Here, using the bottle-brush test (BBT) to trigger and evaluate aggressive and defensive responses, we show that Cc2d1a deletion increases irritability-like behavior in male but not female mice, which is correlated with reduced number of oxytocin (OXT)-expressing neurons in the paraventricular nucleus (PVN) of the hypothalamus. Intranasal OXT administration or chemogenetic activation of OXT neurons in the PVN rescues irritability-like behavior in Cc2d1a conditional knockout (cKO) mice. Administration of a selective melanocortin receptor 4 agonist, RO27-3225, which potentiates endogenous OXT release, also alleviates irritability-like behavior in Cc2d1a cKO mice, an effect blocked by a specific OXT receptor antagonist, L-368,899. We additionally identify a projection connecting the posterior ventral segment of the medial amygdala (MeApv) and ventromedial nucleus of the ventromedial hypothalamus (VMHvl) for governing irritability-like behavior during the BBT. Chemogenetic suppression of the MeApv-VMHvl pathway alleviates irritability-like behavior in Cc2d1a cKO mice. Together, our study uncovers dysregulation of OXT system in irritability-like behavior in Cc2d1a cKO mice during the BBT and provide translatable insights into the development of OXT-based therapeutics for clinical interventions.

Optimizing immunofluorescence with high-dynamic-range imaging to enhance PD-L1 expression evaluation for 3D pathology assessment from NSCLC tumor tissue.

Assessing programmed death ligand 1 (PD-L1) expression through immunohistochemistry (IHC) is the golden standard in predicting immunotherapy response of non-small cell lung cancer (NSCLC). However, observation of heterogeneous PD-L1 distribution in tumor space is a challenge using IHC only. Meanwhile, immunofluorescence (IF) could support both planar and three-dimensional (3D) histological analyses by combining tissue optical clearing with confocal microscopy. We optimized clinical tissue preparation for the IF assay focusing on staining, imaging, and post-processing to achieve quality identical to traditional IHC assay. To overcome limited dynamic range of the fluorescence microscope's detection system, we incorporated a high dynamic range (HDR) algorithm to restore the post imaging IF expression pattern and further 3D IF images. Following HDR processing, a noticeable improvement in the accuracy of diagnosis (85.7%) was achieved using IF images by pathologists. Moreover, 3D IF images revealed a 25% change in tumor proportion score for PD-L1 expression at various depths within tumors. We have established an optimal and reproducible process for PD-L1 IF images in NSCLC, yielding high quality data comparable to traditional IHC assays. The ability to discern accurate spatial PD-L1 distribution through 3D pathology analysis could provide more precise evaluation and prediction for immunotherapy targeting advanced NSCLC.

A 20 year experience in the management of non-tubal ectopic pregnancies in a tertiary hospital - a retrospective review.

BACKGROUND: Non-tubal ectopic pregnancies account for < 10% of all ectopic pregnancies. Due to its rarity and wide variation in clinical practice, there is no guideline or consensus for its management. We reported our 20-year experience in the management of non-tubal ectopic pregnancies in a tertiary hospital. METHODS: This is a retrospective review of all women admitted for non-tubal ectopic pregnancies from January 2003 to December 2022 in a tertiary hospital. Women with non-tubal ectopic pregnancies diagnosed by ultrasound or operation were included for analysis. RESULTS: Within the study period, 180 women were diagnosed to have non-tubal ectopic pregnancies at a mean gestation of 6.8 weeks. 16.7% (30/180) were conceived via assisted reproduction. Medical treatment was the first-line management option for 81 women, of which 75 (92.1%) women received intralesional methotrexate administered under transvaginal ultrasound guidance. The success rate of intralesional methotrexate ranges from 76.5% to 92.3%. Intralesional methotrexate was successful even in cases with a positive fetal pulsation or with high human chorionic gonadotrophin levels up to 252605U/L. Twenty seven women were managed expectantly and 40 underwent surgery. Nine (11.1%), two (6.1%), and one (2.3%) women required surgery due to massive or recurrent bleeding following medical, expectant, or surgical treatment. Hysterotomy and uterine artery embolization were necessary to control bleeding in one Caesarean scar and one cervical pregnancy. CONCLUSIONS: Intralesional methotrexate is more effective than systemic methotrexate and should be considered as first line medical treatment for non-tubal ectopic pregnancies. It has a high success rate in the management of unruptured non-tubal ectopic pregnancies even in the presence of fetal pulsations or high human chorionic gonadotrophin levels, but patients may require a prolonged period of monitoring. Close surveillance and readily available surgery were required due to the risk of heavy post-procedural intra-abdominal bleeding.

Polypharmacy among adults with asthma in the United States, 2005-2020.

BACKGROUND: Asthma is a chronic disease that often requires medication for control. Polypharmacy remains a major issue to medication adherence; however, its evidence among patients with asthma is limited. OBJECTIVES: To evaluate the prevalence and determinants of polypharmacy and its associations with asthma control among adults with asthma in the United States. METHODS: Data from the 2005-2020 National Health and Nutrition Examination Survey (NHANES) were used to estimate the weighted prevalence of polypharmacy. Selected variables, including demographics, comorbidities, prescription medications, and asthma-related adverse events, were extracted from the NHANES. Multivariable logistic regression was conducted to identify factors associated with polypharmacy. Another two sets of multivariable logistic regression models were employed to further assess the association between polypharmacy and asthma-related adverse events: one for asthma attacks and the other for asthma-related emergency room visits. RESULTS: From 2005 to 2020, polypharmacy prevalence was 34.3% and 14.1% among adults with and without asthma, respectively. Characteristics, including older age (P<0.01), non-Hispanic blacks (P<0.01), health insurance coverage (P<0.01), number of healthcare visits (P<0.01), and multiple comorbidities (P<0.01) were associated with polypharmacy. Polypharmacy was associated with increased risks of having asthma attacks (OR, 1.38; 95% CI, 1.08-1.76) and asthma-related emergency room visits (OR, 1.46; 95% CI, 1.09-1.94) among adults with asthma. Among patients taking at least one asthma medication, risks of asthma attacks and asthma-related ER visits did not differ between those with and without polypharmacy. CONCLUSION: Approximately one in three adults with asthma experienced polypharmacy in the United States. Disparities existed in several characteristics, highlighting the necessity for appropriate care and policies among vulnerable populations. Further validation on the impact of polypharmacy on asthma control is required.

Treatment pattern among patients with relapsed/refractory multiple myeloma (RRMM) who had received pomalidomide-based regimens in Taiwan.

BACKGROUND/PURPOSE: The treatment landscape of relapsed/refractory multiple myeloma (RRMM) is rapidly evolving in Taiwan. The present study aimed to assess the treatment patterns among RRMM patients in Taiwan. METHODS: This retrospective, chart review-based, non-interventional study collected data on RRMM patients (≥20 years old) receiving pomalidomide-based treatment between January 2017 and December 2020 across five sites in Taiwan. RESULTS: Median age of the study population was 65.6 years. Approximately 75% patients received a doublet regimen and 25% were on a triplet regimen. Disease progression was the most common cause for switching to pomalidomide-based treatments in doublet (71.2%) and triplet (58.3%) groups. Patients in doublet and triplet groups (>80%) received 4 mg pomalidomide as a starting dose. Overall response rate (ORR: 31.5% and 45.8%) and median progression-free survival (PFS: 4.7 and 6.8 months) were reported in the doublet and triplet regimen. Doublet regimen was discontinued mainly due to disease progression or death (78.1%); however, triplet regimen patients mainly terminated their treatment due to reimbursement limitations (29.2%). Healthcare resource utilization (HRU) was comparable between doublet and triplet groups. CONCLUSION: In Taiwan, half of RRMM patients received pomalidomide-based triplet regimens. Triplet regimens showed a trend towards better outcomes with longer PFS and higher response rates compared to doublets. Notably, the duration of triplet use is influenced by reimbursement limitations. This study provides insight into RRMM treatment patterns in Taiwan and the findings suggest that triplet regimens may be a better alternative than doublet regimens.

Generation of a biliary tract cancer cell line atlas reveals molecular subtypes and therapeutic targets.

Biliary tract cancers (BTCs) are a group of deadly malignancies encompassing intrahepatic and extrahepatic cholangiocarcinoma, gallbladder carcinoma, and ampullary carcinoma. Here, we present the integrative analysis of 63 BTC cell lines via multi-omics clustering and genome- scale CRISPR screens, providing a platform to illuminate BTC biology and inform therapeutic development. We identify dependencies broadly enriched in BTC compared to other cancers as well as dependencies selective to the anatomic subtypes. Notably, cholangiocarcinoma cell lines are stratified into distinct lineage subtypes based on biliary or dual biliary/hepatocyte marker signatures, associated with dependency on specific lineage survival factors. Transcriptional analysis of patient specimens demonstrates the prognostic significance of these lineage subtypes. Additionally, we delineate strategies to enhance targeted therapies or to overcome resistance in cell lines with key driver gene mutations. Furthermore, clustering based on dependencies and proteomics data elucidates unexpected functional relationships, including a BTC subgroup with partial squamous differentiation. Thus, this cell line atlas reveals potential therapeutic targets in molecularly defined BTCs, unveils biologically distinct disease subtypes, and offers a vital resource for BTC research.

An electro-optical platform for the ultrasensitive detection of small extracellular vesicle sub-types and their protein epitope counts.

Methods for detecting proteins in small extracellular vesicles (sEVs) lack sensitivity and quantitative accuracy, missing clues about health and disease. Our study introduces the Nano-Extracellular Omics Sensing (NEXOS) platform, merging electrical (E-NEXOS) and optical detection (O-NEXOS). E-NEXOS determines the concentration of target sEV sub-types, and O-NEXOS quantifies the concentration of target protein epitopes (TEPs) on those TEVs. In this work, both technologies were compared to several sEV detection tools, showing superior detection limits for CD9+CD81+ and CD9+HER2+ sEVs. Furthermore, the additional information on TEVs and TEPs from bulk sEV samples, provided new phenotyping capabilities. We determined the average number of CD81 and HER2 proteins on CD9+ sEVs, a number which was later validated on spiked human plasma. These results highlight the compatibility of NEXOS with complex biofluids and, as importantly, hint at its many potential applications, ranging from basic research to the anticipated clinical translation of sEVs.

Label-Free Three-Dimensional Morphological Characterization of Cell Death Using Holographic Tomography.

This study presents a novel label-free approach for characterizing cell death states, eliminating the need for complex molecular labeling that may yield artificial or ambiguous results due to technical limitations in microscope resolution. The proposed holographic tomography technique offers a label-free avenue for capturing precise three-dimensional (3D) refractive index morphologies of cells and directly analyzing cellular parameters like area, height, volume, and nucleus/cytoplasm ratio within the 3D cellular model. We showcase holographic tomography results illustrating various cell death types and elucidate distinctive refractive index correlations with specific cell morphologies complemented by biochemical assays to verify cell death states. These findings hold promise for advancing in situ single cell state identification and diagnosis applications.

Using a Sensor-Embedded Baseball to Identify Finger Characteristics Related to Spin Rate and Pitching Velocity in Pitchers.

BACKGROUND: Previous investigations have shown a positive relationship between baseball pitching velocity and the kinetic chain involved in pitching motion. However, no study has examined the influence of finger characteristics on pitching velocity and rate of spin via a sensor-embedded baseball. METHODS: Twenty-one pitchers volunteered and were recruited for this study. An experimental baseball embedded with a force sensor and an inertial measurement unit was designed for pitching performance measurement. Finger length and strength were measured as dependent variables. Spin rate and velocity were independent variables. Pearson product-moment correlations (r) and intraclass correlation coefficients (ICCs) determined the relationship between finger characteristics and pitching performance. RESULTS: Finger length discrepancy, two-point pinch strength, index finger RFD (rate of force development), middle finger impulse, and force discrepancy had significant correlations with spin rate (r = 0.500~0.576, p ≤ 0.05). Finger length discrepancy, two-point pinch, three-point pinch strength, index and middle finger RFD, middle finger impulse, and force combination had significant correlations with fastball pitching velocity (r = 0.491~0.584, p ≤ 0.05). CONCLUSIONS: Finger length discrepancy, finger pinch strength, and pitching finger force including maximal force and RFD may be factors that impact fastball spin rate and fastball pitching velocity.

Evaluating the cancer aging and research group model in predicting immunochemotherapy toxicity among elderly patients with diffuse large B-cell lymphoma.

BACKGROUND: The management of diffuse large B-cell lymphoma (DLBCL) in elderly patients is complicated by an increased risk of treatment-related toxicity associated with aging. This study aimed to validate the effectiveness of the Cancer Aging and Research Group (CARG) model in elderly patients with DLBCL receiving rituximab-based chemotherapy. METHODS: In this prospective study, elderly DLBCL patients (aged 65 years or older) receiving rituximab-based chemotherapy were consecutively assessed between August 2016 and December 2021 at one medical center in Taiwan using the CARG model to predict treatment-related toxicity. Patients were categorized into low-, medium-, and high-risk groups based on their CARG scores. Comparisons were made regarding toxicities and survival rates among these groups. RESULTS: Ninety-one patients, with a median age of 70 years (range 65-96), were included. A substantial 81 % (74 patients) experienced grade 3-5 toxicity. The overall 2-year survival rate was 63.8 % after a median follow-up of 28 months (range, 2-46). The risk of grade 3-5 toxicity was 83 %, 78 %, and 87 %, respectively, among the low-, medium-, and high-risk groups (p = 0.60). The receiver operating characteristic (ROC) curve for CARG was 0.521 (95 % CI, 0.376-0.666), which was significantly lower than that for the Eastern Cancer Oncology Group score (ROC = 0.701, 95 % CI, 0.571-0.831). Similarly, compared with those of low-risk patients, hazard ratios for overall survival were 9.22 (95 % CI, 1.23-69.1; p = 0.031) and 14.6 (95 % CI, 1.90-112; p = 0.010) for medium- and high-risk patients, respectively. CONCLUSION: While CARG exhibited limitations in predicting treatment-related toxicity in elderly DLBCL patients, it demonstrated potential efficacy in predicting survival outcomes.

Enhancing DSSCs and Photocatalytic Hydrogen Production with D-A1-A2-π-A Sensitizers Containing 10'H-Spiro[fluorene-9,9'-phenanthren]-10'-one and Benzo[c][1,2,5]thiadiazole.

Novel D-A1-A2-π-A organic sensitizers (FZ-sensitizer), utilizing spiro[fluorene-9,9'-phenanthren]-10'-one (A1) and benzo[c][1,2,5]thiadiazole(A2) moiety as two auxiliary acceptors, are synthesized and applied in dye-sensitized solar cells (DSSCs) and hydrogen production. By incorporating a bulky A1 and A2 between the donor (D) and π-bridge moiety, structural modifications inhibit molecular aggregation, while the carbonyl group enhances the capture of Li+ ions, thereby delaying charge recombination. Furthermore, the extended π-conjugation broadens the light absorption range and enhances the power conversion efficiency (PCE) of FZ-2 under AM1.5 conditions, achieving up to 5.72%. Co-sensitization with N719 and FZ-2 shows PCE of 9.60% under one sun. Under TL84 indoor light conditions, the efficiency is 29.69% at 2500 lux. FZ-sensitizers also exhibit high efficiency in photocatalytic hydrogen production. The hydrogen production activities of FZ-2 are 9190 µmol/g (1 hour) and 76582 µmol/g (12 hours) respectively, while those of FZ-1 are 7430 µmol/g (1 hour) and 64004 µmol/g (12 hours), indicating that FZ-2 can inject charges into TiO2 more efficiently and utilize them for water splitting. Stability testing of photocatalytic water splitting after 12 hours shows a turnover number (TON) of 4249 for FZ-1 and 5378 for FZ-2.

Association of intrinsic capacity and medication non-adherence among older adults with non-communicable diseases in Taiwan.

OBJECTIVES: Medication non-adherence among older adults with non-communicable diseases (NCDs) remains prevalent worldwide, which causes hospitalization and mortality. Our study aimed to examine the association of medication non-adherence with level of overall intrinsic capacity (IC), pattern of IC, and specific IC component among older adults with NCDs. METHODS: A cross-sectional questionnaire-based survey of 1268 older adults aged 60 years and above was conducted in 2022 in southern Taiwan. Among them, 894 suffered from 1 more NCD were included in this study. The Integrated Care for Older People Screening Tool for Taiwanese and the Adherence to Refills and Medication Scale were used to assess IC and medication non-adherence, respectively. Latent class analysis (LCA) was used to identify patterns of IC impairment, and binary logistic regression was used to assess the association between medication non-adherence and IC. RESULTS: Older adults in the moderate (score: 1-2) or low (score≧3) overall IC groups were more likely to experience medication non-adherence (moderate: adjusted odds ratio (aOR) 1.57 [95% CI: 1.05-2.36]; low: 2.26 [1.40-3.67]). The "physical and nutritional impairments accompanied by depressive symptoms" group was associated with statistically higher odds of medication non-adherence (aOR 1.66 [1.01-2.73]). Older adults with cognitive impairment, hearing loss, or depressive symptoms showed greater likelihood of medication non-adherence (cognitive impairment: aOR 1.53 [1.03-2.27]; hearing loss: aOR 1.57 [1.03-2.37]; depressive symptoms: aOR 1.81 [1.17-2.80]). CONCLUSIONS: Intervention for improving medication non-adherence among older adults with NCDs should consider IC.

Deep Learning-Based Surgical Treatment Recommendation and Nonsurgical Prognosis Status Classification for Scaphoid Fractures by Automated X-ray Image Recognition.

Biomedical information retrieval for diagnosis, treatment and prognosis has been studied for a long time. In particular, image recognition using deep learning has been shown to be very effective for cancers and diseases. In these fields, scaphoid fracture recognition is a hot topic because the appearance of scaphoid fractures is not easy to detect. Although there have been a number of recent studies on this topic, no studies focused their attention on surgical treatment recommendations and nonsurgical prognosis status classification. Indeed, a successful treatment recommendation will assist the doctor in selecting an effective treatment, and the prognosis status classification will help a radiologist recognize the image more efficiently. For these purposes, in this paper, we propose potential solutions through a comprehensive empirical study assessing the effectiveness of recent deep learning techniques on surgical treatment recommendation and nonsurgical prognosis status classification. In the proposed system, the scaphoid is firstly segmented from an unknown X-ray image. Next, for surgical treatment recommendation, the fractures are further filtered and recognized. According to the recognition result, the surgical treatment recommendation is generated. Finally, even without sufficient fracture information, the doctor can still make an effective decision to opt for surgery or not. Moreover, for nonsurgical patients, the current prognosis status of avascular necrosis, non-union and union can be classified. The related experimental results made using a real dataset reveal that the surgical treatment recommendation reached 80% and 86% in accuracy and AUC (Area Under the Curve), respectively, while the nonsurgical prognosis status classification reached 91% and 96%, respectively. Further, the methods using transfer learning and data augmentation can bring out obvious improvements, which, on average, reached 21.9%, 28.9% and 5.6%, 7.8% for surgical treatment recommendations and nonsurgical prognosis image classification, respectively. Based on the experimental results, the recommended methods in this paper are DenseNet169 and ResNet50 for surgical treatment recommendation and nonsurgical prognosis status classification, respectively. We believe that this paper can provide an important reference for future research on surgical treatment recommendation and nonsurgical prognosis classification for scaphoid fractures.

Integrating OpenPose and SVM for Quantitative Postural Analysis in Young Adults: A Temporal-Spatial Approach.

Noninvasive tracking devices are widely used to monitor real-time posture. Yet significant potential exists to enhance postural control quantification through walking videos. This study advances computational science by integrating OpenPose with a Support Vector Machine (SVM) to perform highly accurate and robust postural analysis, marking a substantial improvement over traditional methods which often rely on invasive sensors. Utilizing OpenPose-based deep learning, we generated Dynamic Joint Nodes Plots (DJNP) and iso-block postural identity images for 35 young adults in controlled walking experiments. Through Temporal and Spatial Regression (TSR) models, key features were extracted for SVM classification, enabling the distinction between various walking behaviors. This approach resulted in an overall accuracy of 0.990 and a Kappa index of 0.985. Cutting points for the ratio of top angles (TAR) and the ratio of bottom angles (BAR) effectively differentiated between left and right skews with AUC values of 0.772 and 0.775, respectively. These results demonstrate the efficacy of integrating OpenPose with SVM, providing more precise, real-time analysis without invasive sensors. Future work will focus on expanding this method to a broader demographic, including individuals with gait abnormalities, to validate its effectiveness across diverse clinical conditions. Furthermore, we plan to explore the integration of alternative machine learning models, such as deep neural networks, enhancing the system's robustness and adaptability for complex dynamic environments. This research opens new avenues for clinical applications, particularly in rehabilitation and sports science, promising to revolutionize noninvasive postural analysis.

SpliceAPP: an interactive web server to predict splicing errors arising from human mutations.

BACKGROUND: Splicing variants are a major class of pathogenic mutations, with their severity equivalent to nonsense mutations. However, redundant and degenerate splicing signals hinder functional assessments of sequence variations within introns, particularly at branch sites. We have established a massively parallel splicing assay to assess the impact on splicing of 11,191 disease-relevant variants. Based on the experimental results, we then applied regression-based methods to identify factors determining splicing decisions and their respective weights. RESULTS: Our statistical modeling is highly sensitive, accurately annotating the splicing defects of near-exon intronic variants, outperforming state-of-the-art predictive tools. We have incorporated the algorithm and branchpoint information into a web-based tool, SpliceAPP, to provide an interactive application. This user-friendly website allows users to upload any genetic variants with genome coordinates (e.g., chr15 74,687,208 A G), and the tool will output predictions for splicing error scores and evaluate the impact on nearby splice sites. Additionally, users can query branch site information within the region of interest. CONCLUSIONS: In summary, SpliceAPP represents a pioneering approach to screening pathogenic intronic variants, contributing to the development of precision medicine. It also facilitates the annotation of splicing motifs. SpliceAPP is freely accessible using the link https://bc.imb.sinica.edu.tw/SpliceAPP . Source code can be downloaded at https://github.com/hsinnan75/SpliceAPP .