Lignin-containing cellulose nanocrystals enhanced electrospun polylactic acid-based nanofibrous mats: Strengthen and toughen.

Biodegradable polylactic acid (PLA) nanofibrous mats prepared by electrospinning serve as suitable packaging materials. However, their practical applications are limited by their weak mechanical properties, poor thermal stability, and high cost. In this study, green and low-cost lignin-containing cellulose nanocrystals (LCNCs) with different lignin contents were developed and employed as reinforced materials to synergistically enhance the thermal, mechanical, and hydrophobic properties of PLA electrospun nanofibrous mats. The presence of moderate lignin improved the interfacial compatibility between the LCNCs and PLA, resulting in excellent mechanical properties of the nanofibrous mats. Compared to pure PLA mats, the tensile strength of the composites reached up to 21.0 MPa, representing a 6.6-fold increase. Its toughness was synchronously enhanced by 16 times, reaching a maximum of 3.6 MJ/m3. The maximum decomposition temperature of PLA/LCNCs electrospun nanofibrous mats increased from 339 °C to 365 °C. Furthermore, the increase in lignin in the LCNCs positively contributed to improving the hydrophobicity of the PLA/LCNCs electrospun nanofibrous mats. This bio-based strategy of LCNCs employed in the enhancement of fully bio-based PLA nanofibrous mats offers a viable approach for the advancement of packaging films.

Clinical Outcomes of Descemet Membrane Endothelial Keratoplasty for Iridocorneal Endothelial Syndrome With a Glaucoma Drainage Device.

PURPOSE: The purpose of this study was to evaluate the feasibility and clinical outcomes of Descemet membrane endothelial keratoplasty (DMEK) for treating iridocorneal endothelial (ICE) syndrome with a glaucoma drainage device (GDD). METHODS: In this retrospective, interventional case series, data of ICE eyes with a GDD treated with DMEK were collected at the Zhongshan Ophthalmic Center. A total of 24 patients (24 eyes) with mild-to-moderate ocular anterior segment anomalies together with good intraocular pressure (IOP) control preoperatively were included between March 10, 2014, and November 11, 2021. Cases were performed DMEK with concomitantly procedures, such as goniosynechialysis, an entire recipient's Descemet stripping, trimming of glaucoma tubes, and an inferiorly peripheral iridotomy. Graft survival, corrected distance visual acuity (CDVA), endothelial cell loss, IOP, and surgical complications were documented. RESULTS: The mean length of follow-up after surgery was 30.8 ± 7.8 months. Postoperative CDVA improved significantly. At 1 and 2 years postoperatively, 10 (50%) of 20 eyes and 7 (47%) of 15 eyes achieved a CDVA of 20/32 or better, cumulative graft success rates by Kaplan-Meier survival analysis were 89% and 67%, and endothelial cell loss were (59 ± 10)% and (71 ± 7)%, respectively. Within the follow-up period, IOP elevation and progressive peripheral anterior synechiae occurred in 7 (29%) and 5 (21%) of 24 eyes, respectively. CONCLUSIONS: With specific technical modifications, DMEK had not increased the risk of postoperative complications and provided comparable clinical outcomes in the treatment of ICE eyes with a GDD with those observed in the treatment of ICE eyes without a GDD.

Metabolites mediate the causal associations between gut microbiota and NAFLD: a Mendelian randomization study.

BACKGROUND: Although gut microbiota and serum metabolite composition have been observed to be altered in patients with non-alcoholic fatty liver disease (NAFLD), previous observational studies have demonstrated inconsistent results. As this may be influenced by factors such as confounders and reverse causality, we used Mendelian randomization to clarify the causal effect of gut microbiota and blood metabolites on NAFLD. METHODS: In this research, we performed a two-step Mendelian randomization analysis by utilizing genome-wide association study (GWAS) data obtained from MiBioGen and UK Biobank. To mitigate potential errors, we employed False Discovery Rate (FDR) correction and linkage unbalanced regression (LDSC) analysis. Sensitivity analyses including cML-MA and bidirectional Mendelian randomization were performed to ensure the robustness of the results. RESULTS: In this study, a total of nine gut microbiota and seven metabolites were found to be significantly associated with NAFLD. MR analysis of the above findings revealed a causal relationship between Ruminococcus2 and cysteine-glutathione disulfide (OR = 1.17, 95%CI = 1.006-1.369, P = 0.041), as well as 3-indoleglyoxylic acid (OR = 1.18, 95%CI = 1.011-1.370, P = 0.036). For each incremental standard deviation in Ruminococcus2 abundance, there was a corresponding 26% reduction in NAFLD risk (OR = 0.74, 95%CI = 0.61-0.89, P = 0.0012), accompanied by a 17% increase in cysteine-glutathione disulfide levels (OR = 1.17, 95%CI = 1.01-1.37, P = 0.041) and an 18% increase in 3-indoleglyoxylic acid levels (OR = 1.18, 95%CI = 0.81-1.00, P = 0.036). The proportion mediated by cysteine-glutathione disulfide is 11.2%, while the proportion mediated by 3-indoleglyoxylic acid is 7.5%. CONCLUSION: Our study suggests that increased abundance of specific gut microbiota may reduce the risk of developing NAFLD, and this relationship could potentially be mediated through blood metabolites.

Protective effects of curcumin on corneal endothelial cell PANoptosis and monocyte adhesion induced by tumor necrosis factor-alpha and interferon-gamma in rats.

Decrease of human corneal endothelial cell (CEC) density leads to corneal edema, progressive corneal opacity, and reduced visual acuity. A reduction in CEC density may be related to elevated levels of inflammatory cytokines, such as tumor necrosis factor (TNF)-α and interferon (INF)-γ. PANoptosis, characterized by the activation of apoptosis, necroptosis, and pyroptosis, could be a factor in the loss of CECs driven by TNF-α and INF-γ. Cytokines also stimulate monocytes adhesion to endothelium. It has been shown in previous research that curcumin plays protective roles against numerous corneal inflammatory diseases. However, it is not determined whether curcumin acts as an anti-PANoptotic agent or if it mitigates monocyte adhesion to CECs. Therefore, this research aimed to explor the potential therapeutic effects of curcumin and its underlying mechanisms in the loss of CECs. CEC injury models were established, and curcumin was injected subconjunctivally. Clinical evaluation of the corneas was conducted using a scoring system and anterior segment photography. Corneal observation was performed with hematoxylin and eosin staining and immunostaining of zona occludens-1(ZO-1). Apoptotic cells within the corneal endothelium were observed using TUNEL staining. The detection of primary proteins expression was accomplished through Western blot analysis. Interleukin (IL)-1ß and macrophage chemotactic protein 1 (MCP-1) levels were determined via ELISA, while the expression of cleaved caspase-3, gasdermin-D (GSDMD), phosphor-mixed lineage kinase domain-like protein (p-MLKL) and intercellular cell adhesion molecule-1 were confirmed by immunofluorescence. Myeloperoxidase (MPO) activity was measured in aqueous humors. Curcumin treatment attenuated the loss of CECs and corneal edema caused by TNF-α and IFN-γ. Besides, it decreased the count of TUNEL-positive cells, and inhibited the upregulation of cleaved caspase-3, cleaved caspase-6, cleaved caspase-7, and cleaved poly (ADP-ribose) polymerase. Moreover, both the expression and phosphorylation of MLKL and receptor-interacting protein 3 were decreased in curcumin-treated rats. Furthermore, curcumin also lowered the expression of cleaved caspase-1, diminished the levels of IL1ß and MCP-1, and inhibited the activity of MPO. Besides, the expression of intercellular cell adhesion molecule-1, vascular cell adhesion molecule-1, as well as the number of CD11b-positive cells adhered to the CECs decreased for the administration of curcumin.

Objective and automatic assessment approach for diagnosing attention-deficit/hyperactivity disorder based on skeleton detection and classification analysis in outpatient videos.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is diagnosed in accordance with Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria by using subjective observations and information provided by parents and teachers. However, subjective analysis often leads to overdiagnosis or underdiagnosis. There are two types of motor abnormalities in patients with ADHD. First, hyperactivity with fidgeting and restlessness is the major diagnostic criterium for ADHD. Second, developmental coordination disorder characterized by deficits in the acquisition and execution of coordinated motor skills is not the major criterium for ADHD. In this study, a machine learning-based approach was proposed to evaluate and classify 96 patients into ADHD (48 patients, 26 males and 22 females, with mean age: 7y6m) and non-ADHD (48 patients, 26 males and 22 females, with mean age: 7y8m) objectively and automatically by quantifying their movements and evaluating the restlessness scales. METHODS: This approach is mainly based on movement quantization through analysis of variance in patients' skeletons detected in outpatient videos. The patients' skeleton sequence in the video was detected using OpenPose and then characterized using 11 values of feature descriptors. A classification analysis based on six machine learning classifiers was performed to evaluate and compare the discriminating power of different feature combinations. RESULTS: The results revealed that compared with the non-ADHD group, the ADHD group had significantly larger means in all cases of single feature descriptors. The single feature descriptor "thigh angle", with the values of 157.89 ± 32.81 and 15.37 ± 6.62 in ADHD and non-ADHD groups (p < 0.0001), achieved the best result (optimal cutoff, 42.39; accuracy, 91.03%; sensitivity, 90.25%; specificity, 91.86%; and AUC, 94.00%). CONCLUSIONS: The proposed approach can be used to evaluate and classify patients into ADHD and non-ADHD objectively and automatically and can assist physicians in diagnosing ADHD.

Identification of a multidrug resistance genomic island harboring a nonfunctional optrA gene in Campylobacter coli of chicken origin.

Campylobacter spp., such as Campylobacter jejuni and Campylobacter coli, are important zoonotic Gram-negative pathogens that cause acute intestinal diseases in humans. In this study, a retrospective analysis was conducted on previously collected Campylobacter isolates from antimicrobial resistance surveillance. A total of 29 optrA-positive C. coli strains were identified and subjected to second-generation sequencing. Multilocus sequence typing and single nucleotide polymorphism analyses demonstrated that the 29 optrA-positive isolates were genetically homogeneous. Notably, among the 29 isolated strains, the ΔoptrA variants exhibit a nonsense mutation at position 979 where the base C is substituted by T, leading to the formation of a premature termination codon. The alignment of sequences and genetic environmental characteristics suggested that ΔoptrA located on a chromosomally carried multidrug-resistant genomic island. There are other resistant genes on the multidrug resistance genomic island, such as aph(2'')-If, aph(3')-III, aadE, tet(O), tet(L), cat, erm(A), optrA and blaOXA-61. As a result, the 29 ΔoptrA-positive strains displayed susceptibility to both florfenicol and linezolid. The ΔoptrA gene is linked to the erm(A) gene, resulting in the formation of translocatable unit (TU) that are encompassed by two copies of IS1216 mobile elements. Multiple occurrences of similar TUs have been documented in numerous C. coli and provided evidence for the significance of TUs in facilitating the transfer of drug resistance genes in C. coli.

Fabrication of bioengineered corneal endothelial grafts using an allogeneic cornea-derived matrix.

Corneal endothelial keratoplasty has been the primary treatment method of endothelial decompensation, but it is often limited in clinical practice due to global shortage of donor cornea. Here, we explored using an ultra-thin allogeneic cornea-derived matrix (uACM) films as a substrate for constructing bioengineered corneal endothelial grafts. We evaluated the films' optical, mechanical, and structural properties, and measured the composition of the extracellular matrix. The uACM was an ultrathin and curved cornea-shaped film with favorable optical and mechanical properties. The fabrication process efficiently preserved corneal extracellular matrix composition and significantly decreased cellular components. Moreover, human corneal endothelial cells and rabbit corneal endothelial cells (RCECs) can adhere and grow on the uACM films with a positive expression of the corneal endothelial functional markers Na+/K+-ATPase and ZO-1. The successful transplantation of uACM with RCECs grafts into the rabbit model of endothelial dysfunction via Descemet membrane endothelial keratoplasty resulted in prompt restoration of corneal transparency and thickness. During the four-week follow-up period, the uACM with RCECs implanted eyes exhibited comparable corneal transparency, central corneal thickness, and endothelial cell count to that of the healthy rabbit. Histologic examination revealed that the grafts were successfully attached and integrated onto the posterior surface of the corneal stroma. The uACM achieved biomimetic reconstruction in terms of both composition and structure, and can be used to construct the bioengineered corneal endothelial grafts. These results indicate that constructing bioengineered corneal endothelial grafts from discarded human corneal tissues may pave the way for generating high-quality corneal endothelial grafts for transplantation.

Predicting the therapeutic response to valproic acid in childhood absence epilepsy through electroencephalogram analysis using machine learning.

Childhood absence epilepsy (CAE) is a common type of idiopathic generalized epilepsy, manifesting as daily multiple absence seizures. Although seizures in most patients can be adequately controlled with first-line antiseizure medication (ASM), approximately 25 % of patients respond poorly to first-line ASM. In addition, an accurate method for predicting first-line medication responsiveness is lacking. We used the quantitative electroencephalogram (QEEG) features of patients with CAE along with machine learning to predict the therapeutic effects of valproic acid in this population. We enrolled 25 patients with CAE from multiple medical centers. Twelve patients who required additional medication for seizure control or who were shifted to another ASM and 13 patients who achieved seizure freedom with valproic acid within 6 months served as the nonresponder and responder groups. Using machine learning, we analyzed the interictal background EEG data without epileptiform discharge before ASM. The following features were analyzed: EEG frequency bands, Hjorth parameters, detrended fluctuation analysis, Higuchi fractal dimension, Lempel-Ziv complexity (LZC), Petrosian fractal dimension, and sample entropy (SE). We applied leave-one-out cross-validation with support vector machine, K-nearest neighbor (KNN), random forest, decision tree, Ada boost, and extreme gradient boosting, and we tested the performance of these models. The responders had significantly higher alpha band power and lower delta band power than the nonresponders. The Hjorth mobility, LZC, and SE values in the temporal, parietal, and occipital lobes were higher in the responders than in the nonresponders. Hjorth complexity was higher in the nonresponders than in the responders in almost all the brain regions, except for the leads FP1 and FP2. Using KNN classification with theta band power in the temporal lobe yielded optimal performance, with sensitivity of 92.31 %, specificity of 76.92 %, accuracy of 84.62 %, and area under the curve of 88.46 %.We used various EEG features along with machine learning to accurately predict whether patients with CAE would respond to valproic acid. Our method could provide valuable assistance for pediatric neurologists in selecting suitable ASM.

Connectivity Disturbances in Self-Limited Epilepsy with Centrotemporal Spikes: A Partial Directed Coherence Analysis of Electroencephalogram.

Although the remission of self-limited epilepsy with centrotemporal spikes (SeLECTS) usually occurs by adolescence, deficits in cognition and behavior are not uncommon. Several functional magnetic resonance imaging (fMRI) studies have revealed connectivity disturbances in patients with SeLECTS associated with cognitive impairment. However, the disadvantages of fMRI are expensive, time-consuming, and motion sensitive. In the current study, we used a partial directed coherence (PDC) method to analyze electroencephalogram (EEG) for exploring brain connectivity in patients with SeLECTS. This study enrolled 38 participants (19 patients with SeLECTS and 19 healthy controls) for PDC analysis. Our results demonstrated that the controls had significantly higher PDC inflow connectivity in the F7, T3, FP1, and F8 channels than patients with SeLECTS. By contrast, the patients with SeLECTS demonstrated significantly higher PDC inflow connectivity than did the controls in the T5, Pz, and P4 channels. We also compared the PDC connectivity in different Brodmann areas between the patients with SeLECTS and the controls. The results revealed that the inflow connectivity in the BA9_46_L area was significantly higher in the controls than in the patients with SeLECTS, whereas the inflow connectivity in the MIF_L area 4 was significantly higher in the patients with SeLECTS than in the controls. Our proposed approach of combining EEG with PDC provides a convenient and useful tool for investigating functional connectivity in patients with SeLECTS. This approach is time-saving and inexpensive compared with fMRI, but it achieves similar results to fMRI.

Resveratrol regulates macrophage recruitment and M1 macrophage polarization and prevents corneal allograft rejection in rats.

Introduction: Resveratrol is an immune modulator that can reduce M1 macrophage polarization in vitro. Reducing macrophage recruitment and M1 polarization can prevent corneal allograft rejection (CGR). In this study, rat corneal allograft rejection models were established to explore the effects of resveratrol on CGR and macrophages and the underlying mechanisms after corneal transplantation. Methods: Corneal allograft models were established, and 100 mg/kg resveratrol was injected intraperitoneally. The corneal allografts were assessed clinically using the Holland rejection scoring system, anterior segment photography, and anterior segment optical coherence tomography. Corneal macrophages, pro-inflammatory cytokines, and corneal lymphatic vessels were detected using hematoxylin and eosin staining, immunofluorescence staining, and real-time quantitative polymerase chain reaction (qRT-PCR). Dendritic cells (DCs) in cervical lymph nodes were explored using flow cytometry. RNA sequencing experiments were conducted to identify the mechanisms through which resveratrol affected CGR. The results were verified using Simple Western analysis. Pro-inflammatory cytokines by macrophages in vitro were measured using qRT-PCR and enzyme-linked immunosorbent assays. Results: Resveratrol significantly prolonged the survival of corneal grafts and reduced graft edema and central corneal thickness. Corneal macrophage recruitment and M1 macrophage polarization decreased significantly after corneal transplantation in the resveratrol group. Resveratrol also reduced pro-inflammatory cytokines in corneal grafts and suppressed the early generation of cornea lymphatic vessels and the recruitment of cornea inflammatory cells 14 days after surgery. Resveratrol decreased the proportion of DCs in ipsilateral cervical lymph nodes. The effect of resveratrol on CGR was related to the phosphatidylinositol 3-kinase/protein kinase-B (PI3K/Akt) pathway. Resveratrol reduced the secretion of pro-inflammatory cytokines by M1 macrophages in vitro. Conclusion: Our findings suggest that resveratrol can reduce corneal macrophage recruitment and M1 macrophage polarization after corneal transplantation in rats and prevent CGR. The PI3K/Akt pathway may be an important mechanism that warrants further research.

Objective diagnosis of ADHD through movement analysis by using a smart chair with piezoelectric material.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is the most common neuropsychiatric disorder in schoolchildren. ADHD diagnoses are generally made based on criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. The diagnosis is made clinically based on observation and information provided by parents and teachers, which is highly subjective and can lead to disparate results. Considering that hyperactivity is one of the main symptoms of ADHD, the inaccuracy of ADHD diagnosis based on subjective criteria necessitates the identification of a method to objectively diagnose ADHD. METHODS: In this study, a medical chair containing a piezoelectric material was applied to objectively analyze movements of patients with ADHD, which were compared with those of patients without ADHD. This study enrolled 62 patients-31 patients with ADHD and 31 patients without ADHD. During the clinical evaluation, participants' movements were recorded by the piezoelectric material for analysis. The variance, zero-crossing rate, and high energy rate of movements were subsequently analyzed. RESULTS: The results revealed that the variance, zero-crossing rate, and high energy rate were significantly higher in patients with ADHD than in those without ADHD. Classification performance was excellent in both groups, with the area under the curve as high as 98.00%. CONCLUSION: Our findings suggest that the use of a smart chair equipped with piezoelectric material is an objective and potentially useful method for supporting the diagnosis of ADHD.

Regulating the Mechanical and Optical Properties of Polymer-based Nanocomposites by Sub-Nanowires.

Sub-nanowires (SNWs) exhibit great potential applications in nanocomposites owing to their high specific surface area, high flexibility, and similarity to polymer chains in dimension, which are a good entry point to bridge inorganic materials and polymer materials. Herein, we synthesized hydroxyapatite sub-nanowires (HAP SNWs) and engineered hydroxyapatite sub-nanowires/polyimide (HSP) gels and films by simple mixing of HAP SNWs and polyimide (PI). Benefiting from the interactions between HAP SNWs and PI, these nanocomposites were a continuous hybrid network. As the increase of HAP SNWs contents, the viscosity and modulus of HSP gels were greatly improved by one or two orders of magnitude compared with PI gel. HSP films not only maintained high transparency but also gained high haze, as well as exhibited enhanced Young's modulus. Thus, both HSP gels and films developed in this work are promising for various applications in coatings and high-performance films.

Tourism dependence and poverty alleviation thresholds in Chinese ethnic tourism.

Questions persist on the relationship between tourism dependence and economic growth in ethnic tourism areas. This study addresses such gaps by constructing a threshold regression model based on socio-economic data from 2006 to 2019 for nine sites in Enshi Prefecture of central China. ArcGIS and other open-source data were also used to visualize changing tourism resources in the region. Findings suggest that tourism dependence (the ratio of tourism-based GDP to overall GDP) significantly promotes economic growth in ethnic minority areas. However, the positive influence of tourism dependence on economic growth appears dynamic and non-linear - rising at first before falling when tourism dependence exceeded a threshold of 34%, with effects varying by site and year. Methods and findings make crucial theoretical contributions to understanding tourism dependence and poverty alleviation linkages. This paper also highlights the importance of political support and balanced investment in diverse industries to minimize decreasing returns beyond tourism dependence thresholds in destinations worldwide.

A Simple Preheating-Pyrolysis Strategy Leading to Superior Oxygen Reduction Reaction Activity in Fe-N/Carbon Black.

Maintaining the high catalytic activity of the oxygen reduction reaction (ORR) while reducing costs is a long-standing effort to promote the application of polymer electrolyte fuel cells. Here, the binding of nitrogen-containing ligands and carbon black is enhanced by controlling the pyrolysis conditions of a FeSO4 , 1,10-phenanthroline (phen), carbon black mixture, which significantly improves the ORR catalytic activity of the pyrolysis products. Preheating is proposed as a process improvement method using a heat treatment at a temperature between the melting and boiling points of phen before high-temperature pyrolysis, which achieves an effective combination of phen and carbon black, and enhances the interaction between phen and ferrous ions. This method substantially increases the number of FeNx active centers in the pyrolysis product, resulting in an impressive Fe-N/C catalyst with half-wave potential (E1/2 ) up to 0.93 V and a diffusion-limited current density (jL ) of 5.9 mA cm-2 and no obvious decay after 20 000 cyclic voltammetry cycles in 0.1 m KOH, which are all among the best-reported data known to date. The interaction between the ratio of Fe/phen and the pyrolysis conditions is also investigated. Under the right conditions, cheap raw materials can also generate highly catalytically active sites.

Prediction of seizure recurrence using electroencephalogram analysis with multiscale deep neural networks before withdrawal of antiepileptic drugs.

BACKGROUND: The decision to continue or discontinue antiepileptic drug (AED) treatment in patients who are seizure free for a prolonged time is critical. Studies have used certain risk factors or electroencephalogram (EEG) findings to predict seizure recurrence after the withdrawal of AEDs. However, applicable biomarkers to guide the withdrawal of AEDs are lacking. METHODS: In this study, we used EEG analysis based on multiscale deep neural networks (MSDNN) to establish a method for predicting seizure recurrence after the withdrawal of AEDs. A total of 60 patients with epilepsy were divided into two groups (30 in the recurrence group and 30 in the non-recurrence group). All patients were seizure free for at least 2 years. Before AED withdrawal, an EEG was performed for each patient, which showed no epileptiform discharges. These EEG recordings were classified using MSDNN. RESULTS: We found that the performance indices of classification between recurrence and non-recurrence groups had a mean sensitivity, mean specificity, mean accuracy, and mean area under the receiver operating characteristic curve of 74.23%, 75.83%, 74.66%, and 82.66%, respectively. CONCLUSION: Our proposed method is a promising tool to help physicians to predict seizure recurrence after AED withdrawal among seizure-free patients.

Early and Objective Evaluation of the Therapeutic Effects of ADHD Medication through Movement Analysis Using Video Recording Pixel Subtraction.

Attention-deficit/hyperactivity disorder (ADHD) affects approximately 5−7% of school-age children. ADHD is usually marked by an ongoing pattern of inattention or hyperactivity−impulsivity, leading to functioning or developmental problems. A common ADHD assessment tool is the Swanson, Nolan, and Pelham (SNAP) questionnaire. However, such scales provide only a subjective perspective, and most of them are used to evaluate therapeutic effects at least 3−12 months after medication initiation. Therefore, we employed an objective assessment method to provide more accurate evaluations of therapeutic effects in 25 children with ADHD (23 boys and 2 girls). To evaluate the participants' improvement and treatment's effectiveness, the pixel subtraction technique was used in video analysis. We compared the efficacy of 1-month Ritalin or Concerta treatment by evaluating the movement in each video within 3 h of medication administration. The movement value was defined as the result of a calculation when using the pixel subtraction technique. Based on behavior observation and SNAP scores, both parent- and teacher-reported scores decreased after 1 month of medication (reduction rates: 19.61% and 16.38%, respectively). Specifically, the parent-reported hyperactivity subscale and teacher-reported oppositional subscale decreased more significantly. By contrast, the reduction rate was 39.27%, as evaluated using the average movement value (AMV). Considering symptomatic improvement as a >25% reduction in scores, the result revealed that the AMV decreased in 18 patients (72%) compared with only 44% and 56% of patients based on parent- and teacher-reported hyperactivity subscale scores. In conclusion, the pixel subtraction method can serve as an objective and reliable evaluation of the therapeutic effects of ADHD medication in the early stage.

Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton Analysis.

Attention-deficit/hyperactivity disorder (ADHD) is the most common neuropsychiatric disorder in children. Several scales are available to evaluate ADHD therapeutic effects, including the Swanson, Nolan, and Pelham (SNAP) questionnaire, the Vanderbilt ADHD Diagnostic Rating Scale, and the visual analog scale. However, these scales are subjective. In the present study, we proposed an objective and automatic approach for evaluating the therapeutic effects of medication in patients with (ADHD). The approach involved using movement quantification of patients' skeletons detected automatically with OpenPose in outpatient videos. Eleven skeleton parameter series were calculated from the detected skeleton sequence, and the corresponding 33 features were extracted using autocorrelation and variance analysis. This study enrolled 25 patients with ADHD. The outpatient videos were recorded before and after medication treatment. Statistical analysis indicated that four features corresponding to the first autocorrelation coefficients of the original series of four skeleton parameters and 11 features each corresponding to the first autocorrelation coefficients of the differenced series and the averaged variances of the original series of 11 skeleton parameters significantly decreased after the use of methylphenidate, an ADHD medication. The results revealed that the proposed approach can support physicians as an objective and automatic tool for evaluating the therapeutic effects of medication on patients with ADHD.

Construction of bioengineered corneal stromal implants using an allogeneic cornea-derived matrix.

The bioengineering of corneal scaffolds that mimic native human cornea has attracted interest owing to the scarcity of donor corneas for the transplantation-based treatment of corneal blindness. However, an optimally engineered corneal tissue for clinical use has yet to emerge. Herein, human corneal tissues discarded during allogeneic corneal transplantation surgery were used to construct allogeneic cornea-derived matrix (ACM) scaffolds with favorable optical properties and structural strength. During scaffold fabrication, collagen and glycosaminoglycan levels were well preserved, while DNA decreased significantly. Scanning electron microscopy revealed the presence of fiber-like structures on the scaffold surface and specific structures featuring multiple interlaced lamellae in cross-sections. Moreover, corneal epithelial cells grown on the ACM formed a continuous multi-stratified epithelium with a strong expression of the corneal epithelial differentiation marker CK3/12, gap junction marker Connexin43, and stem-cell-specific marker p63α, while corneal stromal cells expressed the keratocyte-specific marker KERA and the adhesion marker integrin ß1. When the ACM was implanted into rabbit corneal stromal pockets, the rabbit cornea remained transparent throughout the follow-up period. These results indicate that the construction of corneal stromal implants from discarded human corneal tissues may pave the way for the generation of high-quality corneal tissue for transplantation.