Incidence of invasive fungal diseases in inflammatory bowel disease patients: A nationwide study in South Korea.

BACKGROUND: Limited reports exist regarding invasive fungal diseases (IFDs) in inflammatory bowel disease (IBD) patients. OBJECTIVES: This study aims to investigate the incidence and risk factors of IFDs, specifically invasive candidiasis, aspergillosis and pneumocystosis, in IBD patients in South Korea using nationwide data. PATIENTS/METHODS: A population-based retrospective cohort of 42,913 IBD patients between January 2010 and December 2018 was evaluated using the Health Insurance Review and Assessment database. The primary outcome was the incidence of IFDs, including invasive candidiasis, aspergillosis and pneumocystosis, while the secondary outcome involved analysing the risk factors associated with each specific infection. RESULTS: The study included a total of 42,913 IBD patients, with 29,909 (69.7%) diagnosed with ulcerative colitis (UC) and 13,004 (30.3%) diagnosed with Crohn's disease (CD). IFDs occurred in 166 IBD patients (0.4%), with 93 cases in UC patients and 73 cases in CD patients. The incidence rates of invasive candidiasis, aspergillosis and pneumocystosis in IBD patients were 0.71 per 1000 person-years (PYs), 0.15 per 1000 PYs and 0.12 per 1000 PYs, respectively. The cumulative incidence of invasive candidiasis (adjusted p-value <.001) and Pneumocystosis (adjusted p-value = .012) was found to be higher in CD patients than in UC patients. Each IFD had different risk factors, including IBD subtypes, age at diagnosis, anti-tumour necrotic factor agents or the Charlson comorbidity index. CONCLUSION: Based on nationwide data in South Korea, this study shows that IFDs occur consistently in patients with IBD, albeit with a low frequency.

Enrichment of Activated Fibroblasts as a Potential Biomarker for a Non-Durable Response to Anti-Tumor Necrosis Factor Therapy in Patients with Crohn's Disease.

We investigated whether the response to anti-tumor necrosis factor (anti-TNF) treatment varied according to inflammatory tissue characteristics in Crohn's disease (CD). Bulk RNA sequencing (RNA-seq) data were obtained from inflamed and non-inflamed tissues from 170 patients with CD. The samples were clustered based on gene expression profiles using principal coordinate analysis (PCA). Cellular heterogeneity was inferred using CiberSortx, with bulk RNA-seq data. The PCA results displayed two clusters of CD-inflamed samples: one close to (Inflamed_1) and the other far away (Inflamed_2) from the non-inflamed samples. Inflamed_1 was rich in anti-TNF durable responders (DRs), and Inflamed_2 was enriched in non-durable responders (NDRs). The CiberSortx results showed that the cell fraction of activated fibroblasts was six times higher in Inflamed_2 than in Inflamed_1. Validation with public gene expression datasets (GSE16879) revealed that the activated fibroblasts were enriched in NDRs over Next, we used DRs by 1.9 times pre-treatment and 7.5 times after treatment. Fibroblast activation protein (FAP) was overexpressed in the Inflamed_2 and was also overexpressed in the NDRs in both the RISK and GSE16879 datasets. The activation of fibroblasts may play a role in resistance to anti-TNF therapy. Characterizing fibroblasts in inflamed tissues at diagnosis may help to identify patients who are likely to respond to anti-TNF therapy.

Wi-Fi Backscatter System With Tag Sensors Using Multi-Antennas for Increased Data Rate and Reliability.

In this paper, we propose tag sensor using multi-antennas in a Wi-Fi backscatter system, which results in an improved data rate or reliability of the signal transmitted from a tag sensor to a reader. The existing power level modulation method, which is proposed to improve data rate in a Wi-Fi backscatter system, has low reliability due to the reduced distance between symbols. To address this problem, we propose a Wi-Fi backscatter system that obtains channel diversity by applying multiple antennas. Two backscatter methods are described for improving the data rate or reliability in the proposed system. In addition, we propose three low complexity demodulation methods to address the high computational complexity problem caused by multiple antennas: (1) SET (subcarrier energy-based threshold) method, (2) TCST (tag's channel state-based threshold) method, and (3) SED (similar Euclidean distance) method. In order to verify the performance of the proposed backscatter method and low complexity demodulation schemes, the 802.11 TGn (task group n) channel model was utilized in simulation. In this paper, the proposed tag sensor structure was compared with existing methods using only sub-channels with a large difference in received CSI (channel state information) values or adopting power-level modulation. The proposed scheme showed about 10 dB better bit error rate (BER) performance and throughput. Also, proposed low complexity demodulation schemes were similar in BER performance with a difference of up to 1 dB and the computational complexity was reduced by up to 60% compared to the existing Euclidean distance method.

Enhancement of the lasing efficiency of vitamin B2 in a highly polar organic solvent via DNA-lipid complex.

We experimentally demonstrated a green liquid laser at the wavelength of 570 nm, utilizing the optical gain of vitamin B2 in a highly polar organic solvent, and proposed an efficient method to enhance its lasing efficiency by adding DNA-lipid complex (DNA-CTMA) in the solution. Optical properties of vitamin B2 in the hexafluoro-2-propanol solvents were investigated by adding various amounts of DNA-CTMA in terms of the UV-visible absorbance, the visible emission, and the fluorescence lifetime. A Fabry-Perot cavity was built to obtain the laser oscillation at 570 nm using a pulsed pump source at the wavelength of 450 nm, 5 ns pulse duration, and 10 Hz repetition rate. By adding DNA-CTMA, both the output power and slope efficiency were enhanced along with a significant reduction of the lasing threshold pump power. The proposed scheme could open new potential for highly efficient biolasers.

Thermo-optic characteristic of DNA thin solid film and its application as a biocompatible optical fiber temperature sensor.

We report unique thermo-optical characteristics of DNA-Cetyl tri-methyl ammonium (DNA-CTMA) thin solid film with a large negative thermo-optical coefficient of -3.4×10-4/°C in the temperature range from 20°C to 70°C without any observable thermal hysteresis. By combining this thermo-optic DNA film and fiber optic multimode interference (MMI) device, we experimentally demonstrated a highly sensitive compact temperature sensor with a large spectral shift of 0.15 nm/°C. The fiber optic MMI device was a concatenated structure with single-mode fiber (SMF)-coreless silica fiber (CSF)-single mode fiber (SMF) and the DNA-CTMA film was deposited on the CSF. The spectral shifts of the device in experiments were compared with the beam propagation method, which showed a good agreement.

A Genome-Wide Methylation Approach Identifies a New Hypermethylated Gene Panel in Ulcerative Colitis.

The cause of inflammatory bowel disease (IBD) is still unknown, but there is growing evidence that environmental factors such as epigenetic changes can contribute to the disease etiology. The aim of this study was to identify newly hypermethylated genes in ulcerative colitis (UC) using a genome-wide DNA methylation approach. Using an Infinium HumanMethylation450 BeadChip array, we screened the DNA methylation changes in three normal colon controls and eight UC patients. Using these methylation profiles, 48 probes associated with CpG promoter methylation showed differential hypermethylation between UC patients and normal controls. Technical validations for methylation analyses in a larger series of UC patients (n = 79) were performed by methylation-specific PCR (MSP) and bisulfite sequencing analysis. We finally found that three genes (FAM217B, KIAA1614 and RIBC2) that were significantly elevating the promoter methylation levels in UC compared to normal controls. Interestingly, we confirmed that three genes were transcriptionally silenced in UC patient samples by qRT-PCR, suggesting that their silencing is correlated with the promoter hypermethylation. Pathway analyses were performed using GO and KEGG databases with differentially hypermethylated genes in UC. Our results highlight that aberrant hypermethylation was identified in UC patients which can be a potential biomarker for detecting UC. Moreover, pathway-enriched hypermethylated genes are possibly implicating important cellular function in the pathogenesis of UC. Overall, this study describes a newly hypermethylated gene panel in UC patients and provides new clinical information that can be used for the diagnosis and therapeutic treatment of IBD.

Identification of radiation-induced aberrant hypomethylation in colon cancer.

BACKGROUND: Exposure to ionizing radiation (IR) results in the simultaneous activation or downregulation of multiple signaling pathways that play critical roles in cell type-specific control of survival or death. IR is a well-known genotoxic agent and human carcinogen that induces cellular damage through direct and indirect mechanisms. However, its impact on epigenetic mechanisms has not been elucidated, and more specifically, little information is available regarding genome-wide DNA methylation changes in cancer cells after IR exposure. Recently, genome-wide DNA methylation profiling technology using the Illumina HumanMethylation450K platform has emerged that allows us to query >450,000 loci within the genome. This improved technology is capable of identifying genome-wide DNA methylation changes in CpG islands and other CpG island-associated regions. RESULTS: In this study, we employed this technology to test the hypothesis that exposure to IR not only induces differential DNA methylation patterns at a genome-wide level, but also results in locus- and gene-specific DNA methylation changes. We screened for differential DNA methylation changes in colorectal cancer cells after IR exposure with 2 and 5 Gy. Twenty-nine genes showed radiation-induced hypomethylation in colon cancer cells, and of those, seven genes showed a corresponding increase in gene expression by reverse transcriptase polymerase chain reaction (RT-PCR). In addition, we performed chromatin immunoprecipitation (ChIP) to confirm that the DNA-methyltransferase 1 (DNMT1) level associated with the promoter regions of these genes correlated with their methylation level and gene expression changes. Finally, we used a gene ontology (GO) database to show that a handful of hypomethylated genes induced by IR are associated with a variety of biological pathways related to cancer. CONCLUSION: We identified alterations in global DNA methylation patterns and hypomethylation at specific cancer-related genes following IR exposure, which suggests that radiation exposure plays a critical role in conferring epigenetic alterations in cancer.

Multiple traditional Chinese medicinal approaches in collaboration with conservative conventional medicine for lumbar herniated intervertebral discs: A systematic review and meta-analysis.

BACKGROUND: This review aimed to verify the clinical effects of traditional Chinese medicine in collaboration with conservative conventional medicine for lumbar herniated intervertebral discs (LHIVD). METHODS: The CENTRAL, EMBASE, MEDLINE/PubMed, JMAS, CNKI, and seven Korean databases were searched using pre-planned strategies. The risk of bias was assessed using the Cochrane Collaboration tool and a meta-analysis was conducted accordingly. RESULTS: Twenty-eight randomized controlled trials (RCTs) were included in this systematic review and meta-analysis. All RCTs included 2746 participants. The experimental group showed more significant improvements in VAS (Mean differences (MD) -1.61, 95% Confidence Intervals (CI) [-2.44, -0.79]; I2 = 98%), Oswestry Disability Index (ODI) (MD -8.52, 95% CI [-11.71, -5.34]; I2 = 96%), and Japanese Orthopaedic Association (JOA) scores (MD 4.83, 95% CI [3.49, 6.17]; I2 = 85%) than the control group. However, the difference in the incidence of adverse events between the experimental and control groups was not significant (Relative Risk (RR) 0.05, 95% CI [0.23, 1.10]; I2 = 46%). CONCLUSION: Traditional Chinese medicine in collaboration with conservative conventional medicine can be used to relieve pain and facilitate better function of the lumbar spine in lumbar herniated intervertebral disc cases. However, this conclusion should be applied with caution in clinical practice owing to the low quality of the included studies.

Usage trends of colorectal endoscopic submucosal dissection according to hospital types based on nationwide claims data.

Although the use of colorectal endoscopic submucosal dissection (ESD) for colorectal lesions has increased, there is a lack of analysis of the recent usage trends of ESD. Thus, this study aimed to identify changes in the annual utilization of ESD and determine the proportion of surgeries after ESD according to hospital types. Using Health Insurance Review and Assessment data from 2012 to 2019, 26,502 colorectal ESD cases were analyzed to assess the annual usage trends of ESD according to hospital type, additional early and late surgeries after ESD, changes in the distribution of colorectal lesions, and factors associated with early and late surgery. Trend analysis was performed using the chi-squared test for trend in proportions. Colorectal ESD increased from 2046 in 2012 to 5319 in 2019. Additional early and late surgeries rose from 135 (6.6%) in 2012 to 441 (8.2%) in 2019 (P < .05) and from 9 (0.3%) in 2013 to 52 (1.0%) in 2019 (P < .05), respectively. In tertiary and general hospitals, the proportion of submucosal cancers decreased, whereas the proportion of intramucosal cancers increased. Submucosal cancer was associated with early (odds ratio: 108.90, 95% confidence interval: 61.67-192.35) and late surgery (odds ratio: 3.55, 95% confidence interval: 2.27-5.56). Using nationwide data, our study identified the clinical usage trends of colorectal ESD based on the annual increase in utilization and the proportion of additional surgeries after ESD.

Antifungal and Antiaflatoxigenic Activities of Massoia Essential Oil and C10 Massoia Lactone against Aflatoxin-Producing Aspergillus flavus.

Fungal infection and mycotoxin contamination are major hazards to the safe storage and distribution of foods and feeds consumed by humans and livestock. This study investigated the antifungal and antiaflatoxigenic activities of massoia essential oil (MEO) and its major constituent, C10 massoia lactone (C10), against aflatoxin B (AFB)-producing Aspergillus flavus ATCC 22546. Their antifungal activities were evaluated using a disc diffusion assay, agar dilution method, and a mycelial growth inhibition assay with the AFB analysis using liquid chromatography triple quadrupole mass spectrometry. MEO and C10 exhibited similar antifungal and antiaflatoxigenic activities against A. flavus. C10 was a primary constituent in MEO and represented up to 45.1% of total peak areas analyzed by gas chromatography-mass spectrometry, indicating that C10 is a major compound contributing to the antifungal and antiaflatoxigenic activities of MEO. Interestingly, these two materials increased AFB production in A. flavus by upregulating the expression of most genes related to AFB biosynthesis by 3- to 60-fold. Overall, MEO and C10 could be suitable candidates as natural preservatives to control fungal infection and mycotoxin contamination in foods and feeds as Generally Recognized As Safe (GRAS) in the Flavor and Extract Manufacturers Association of the United States (FEMA), and MEO is a more suitable substance than C10 because of its wider range of uses and higher allowed concentration than C10.

Systematic review and meta-analysis of the anti-obesity effect of cupping therapy.

BACKGROUND: Cupping therapy is a common practice in Korean medicine. Despite developments in this clinical and research area, the current knowledge is insufficient to identify the effects of cupping therapy on obesity. We aimed to assess the effects and safety of cupping therapy on obesity by performing a systematic review and meta-analysis of the effects of cupping therapy. METHODS: A systematic search of databases was conducted, including MEDLINE/PubMed, EMBASE, Cochrane Central Register of Controlled Trials, Chinese National Knowledge Infrastructure, Citation Information by the National Institute of Informatics, KoreaMed, Oriental Medicine Advanced Searching Integrated System, and ScienceON, for full-text randomized controlled trials (RCTs) published through January 14, 2023, with no language restrictions. The experimental groups received cupping therapy combined with traditional Chinese medicine (TCM) and conventional therapy. The control groups received no treatment, conventional therapy, or TCM treatments alone. The experimental and control groups were compared in terms of body weight (BW), body mass index (BMI), hip circumference (HC), waist circumference (WC), waist-hip ratio (WHR), and body fat percentage (BFP). We evaluated the risk of bias using the 7 domains stipulated by the Cochrane Collaboration Group and performed a meta-analysis using Cochrane Collaboration software (Review Manager Software Version 5.3). RESULTS: A total of 21 RCTs were included in this systematic review and meta-analysis. The analysis revealed improvements in BW (P < .001), BMI (P < .001), HC (P = .03), and WC (P < .001). However, there were no clinically significant changes in WHR (P = .65) or BFP (P = .90), both of which had very low certainty of evidence. No adverse events were reported. CONCLUSION: Overall, our results show that cupping therapy can be used to treat obesity in terms of BW, BMI, HC, and WC and is a safe intervention for the treatment of obesity. However, the conclusions of this review should be interpreted with caution in clinical practice because of the uncertain quality of the included studies.

A Machine Learning-Based Diagnostic Model for Crohn's Disease and Ulcerative Colitis Utilizing Fecal Microbiome Analysis.

Recent research has demonstrated the potential of fecal microbiome analysis using machine learning (ML) in the diagnosis of inflammatory bowel disease (IBD), mainly Crohn's disease (CD) and ulcerative colitis (UC). This study employed the sparse partial least squares discriminant analysis (sPLS-DA) ML technique to develop a robust prediction model for distinguishing among CD, UC, and healthy controls (HCs) based on fecal microbiome data. Using data from multicenter cohorts, we conducted 16S rRNA gene sequencing of fecal samples from patients with CD (n = 671) and UC (n = 114) while forming an HC cohort of 1462 individuals from the Kangbuk Samsung Hospital Healthcare Screening Center. A streamlined pipeline based on HmmUFOTU was used. After a series of filtering steps, 1517 phylotypes and 1846 samples were retained for subsequent analysis. After 100 rounds of downsampling with age, sex, and sample size matching, and division into training and test sets, we constructed two binary prediction models to distinguish between IBD and HC and CD and UC using the training set. The binary prediction models exhibited high accuracy and area under the curve (for differentiating IBD from HC (mean accuracy, 0.950; AUC, 0.992) and CD from UC (mean accuracy, 0.945; AUC, 0.988)), respectively, in the test set. This study underscores the diagnostic potential of an ML model based on sPLS-DA, utilizing fecal microbiome analysis, highlighting its ability to differentiate between IBD and HC and distinguish CD from UC.

Randomised clinical trial: comparison of tegoprazan and lansoprazole as maintenance therapy for healed mild erosive oesophagitis.

BACKGROUND: Tegoprazan is a novel potassium-competitive acid blocker used to treat acid-related disorders. AIM: To compare tegoprazan 25 mg with lansoprazole 15 mg as maintenance therapy in healed erosive oesophagitis (EE) METHODS: In this phase 3, double-blind, multi-centre study, patients with endoscopically confirmed healed EE were randomised 1:1 to receive tegoprazan 25 mg or lansoprazole 15 mg once daily for up to 24 weeks. The primary efficacy endpoint was the endoscopic remission rate after 24 weeks. The secondary efficacy endpoint was the endoscopic remission rate after 12 weeks. Safety endpoints included adverse events, clinical laboratory results and serum gastrin and pepsinogen I/II levels. RESULTS: We randomised patients to tegoprazan 25 mg (n = 174) or lansoprazole 15 mg (n = 177). Most had mild EE (Los Angeles (LA) grade A: 57.3%, LA grade B: 37.3%). The endoscopic remission rate after 24 weeks was 90.6% with tegoprazan and 89.5% with lansoprazole. Tegoprazan was not inferior to lansoprazole for maintaining endoscopic remission at 24 weeks and 12 weeks. In subgroup analysis, tegoprazan 25 mg showed no significant difference in maintenance rate according to LA grade (p = 0.47). The maintenance effect of tegoprazan was consistent in CYP2C19 extensive metabolisers (p = 0.76). Increases in serum gastrin were not higher in tegoprazan-treated than lansoprazole-treated patients. CONCLUSIONS: Tegoprazan 25 mg was non-inferior to lansoprazole 15 mg in maintenance of healing of mild EE. In this study, tegoprazan had a similar safety profile to lansoprazole.

Geometry-Aware Deep Video Deblurring via Recurrent Feature Refinement.

Blurring in videos is a frequent phenomenon in real-world video data owing to camera shake or object movement at different scene depths. Hence, video deblurring is an ill-posed problem that requires understanding of geometric and temporal information. Traditional model-based optimization methods first define a degradation model and then solve an optimization problem to recover the latent frames with a variational model for additional external information, such as optical flow, segmentation, depth, or camera movement. Recent deep-learning-based approaches learn from numerous training pairs of blurred and clean latent frames, with the powerful representation ability of deep convolutional neural networks. Although deep models have achieved remarkable performances without the explicit model, existing deep methods do not utilize geometrical information as strong priors. Therefore, they cannot handle extreme blurring caused by large camera shake or scene depth variations. In this paper, we propose a geometry-aware deep video deblurring method via a recurrent feature refinement module that exploits optimization-based and deep-learning-based schemes. In addition to the off-the-shelf deep geometry estimation modules, we design an effective fusion module for geometrical information with deep video features. Specifically, similar to model-based optimization, our proposed module recurrently refines video features as well as geometrical information to restore more precise latent frames. To evaluate the effectiveness and generalization of our framework, we perform tests on eight baseline networks whose structures are motivated by the previous research. The experimental results show that our framework offers greater performances than the eight baselines and produces state-of-the-art performance on four video deblurring benchmark datasets.

Enhanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks.

Recent deep neural network-based research to enhance image compression performance can be divided into three categories: learnable codecs, postprocessing networks, and compact representation networks. The learnable codec has been designed for end-to-end learning beyond the conventional compression modules. The postprocessing network increases the quality of decoded images using example-based learning. The compact representation network is learned to reduce the capacity of an input image, reducing the bit rate while maintaining the quality of the decoded image. However, these approaches are not compatible with existing codecs or are not optimal for increasing coding efficiency. Specifically, it is difficult to achieve optimal learning in previous studies using a compact representation network due to the inaccurate consideration of the codecs. In this paper, we propose a novel standard compatible image compression framework based on auxiliary codec networks (ACNs). In addition, ACNs are designed to imitate image degradation operations of the existing codec, which delivers more accurate gradients to the compact representation network. Therefore, compact representation and postprocessing networks can be learned effectively and optimally. We demonstrate that the proposed framework based on the JPEG and High Efficiency Video Coding standard substantially outperforms existing image compression algorithms in a standard compatible manner.

TiO2 treatment using ultrasonication for bubble cavitation generation and efficiency assessment of a dye-sensitized solar cell.

In this study, the impacts of different ultrasonic treatments on TiO2 particles were determined and they were used to manufacture the photoelectrodes of a dye-sensitized solar cell (DSSC). Two methods were used to prepare TiO2 particles directly sonicated by an ultrasonic horn, and TiO2 treated indirectly by an ultrasonic cleaner. TEM, XPS analysis was confirmed that cavitation bubbles generated during ultrasonication resulted in defects on the surface of TiO2 particles, and the defect induced surface activation. To understand the effect of TiO2 surface activation on energy conversion efficiency of DSSC, ultrasonic horn DSSC and ultrasonic cleaner DSSC were prepared. The UV-vis analysis exhibited that the ultrasonic horn DSSC possessed higher dye adsorption when compared to the ultrasonic cleaner DSSC, and the EIS analysis confirmed that the electron mobility was greatly increased in the ultrasonic horn DSSC. The energy conversion efficiency of the ultrasonic horn DSSC was measured to be 3.35%, which is about 45% increase in comparison to that of the non-ultrasonic treated DSSC (2.35%). In addition to this regard, recombination resistance of ultrasonic horn DSSC was calculated to be 450 Ω·cm2, increasing more than two times compared to the non-ultrasonic treated DSSC (200 Ω·cm2). Taken together, these ultrasonic treatments significantly improved the energy conversion efficiency of DSSC, which was not tried in DSSC-related research, and might lead us to develop more efficient practical route in the manufacturing of DSSC.

Quality of Life in Newly Diagnosed Moderate-to-Severe Ulcerative Colitis: Changes in the MOSAIK Cohort Over 1 Year.

Background/Aims: Improving quality of life has been gaining importance in ulcerative colitis (UC) management. The aim of this study was to investigate changes in health-related quality of life (HRQL) and related factors in patients with moderate-to-severe UC. Methods: A multicenter, hospital-based, prospective study was performed using a Moderate-to-Severe Ulcerative Colitis Cohort in Korea (the MOSAIK). Changes in HRQL, evaluated using the 12-Item Short Form Health Survey (SF-12) and Inflammatory Bowel Disease Questionnaire (IBDQ), were analyzed at the time of diagnosis and 1 year later. Results: In a sample of 276 patients, the mean age was 38.4 years, and the majority of patients were male (59.8%). HRQL tended to increase in both the IBDQ and SF-12 1 year after diagnosis. A higher partial Mayo score was significantly related to poorer HRQL on the IBDQ and SF-12 in a linear mixed model (p<0.01). Inflammatory markers such as C-reactive protein (CRP) or erythrocyte sedimentation rate also showed a negative correlation on HRQL (p<0.05). Patients whose IBDQ score improved by 16 or more (71.2%) in 1 year were younger, tended to be nonsmokers, and had a lower partial Mayo score and CRP than those whose IBDQ score did not. There was no significant association between HRQL and disease extent, treatments at diagnosis, or the highest treatment step during the 1-year period. Conclusions: Optimally controlled disease status improves HRQL in patients with moderate-to-severe UC. The partial Mayo score and inflammatory markers may be potential indicators reflecting the influence of UC on patient`s daily lives.

Traditional Chinese medicine for gait disturbance in adrenoleukodystrophy: A case report and review of literature.

BACKGROUND: Adrenoleukodystrophy (ALD) is caused by a deficit in the ABCD1 gene, which leads to demyelination of neurons and dysfunction of the adrenal cortices and testicles. Of the three known phenotypes, 30%-50% of male ALD patients present with the adrenomyeloneuropathy phenotype, characterized by gait disturbance as the initial symptom. CASE SUMMARY: A 46-year-old man with a prior diagnosis of ALD was admitted to a Korean medicine hospital for the treatment of gait disturbance. His ability to walk was severely impaired at admission, significantly affecting the patient's quality of life. He was treated with acupuncture, pharmacopuncture, electroacupuncture, and herbal medicine for 23 d. The 25-Foot Walk test (25FW), timed up and go (TUG), comfortable gait speed (CGS), numeric rating scale (NRS), Berg Balance Scale (BBS), Tinetti test, manual muscle test (MMT), and 3-level version of EuroQol-5 dimension (EQ-5D-3L) were used to evaluate the patient. The outcomes of the 25FW, TUG, and CGS improved during hospitalization. From the time of admission to discharge we observed: A decrease in NRS scores in the lower extremities and the lower back; an increase of 3 points in the BBS; a 1-point increase in the balancing part of the Tinetti Test; MMT and EQ-5D-3L performances remained unchanged. CONCLUSION: Traditional Chinese medicine treatments could be a therapeutic option to alleviate issues related to gait disturbance in ALD.

Hydrogen production by electrochemical reaction using ethylene glycol with terephthalic acid.

In this study, ethylene glycol (EG) and terephthalic acid (TPA) were used to generate hydrogen using copper electrodes in an alkaline aqueous solution and the corresponding reaction mechanism was experimentally investigated. Both EG and TPA produced hydrogen; however, TPA consumed OH-, inhibiting the production of intermediary compounds of EG and causing EG to actively react with H2O, ultimately leading to enhanced hydrogen production. In addition, the initiation potential of water decomposition of the EG and TPA alkaline aqueous solution was 1.0 V; when 1.8 V (vs. RHE) was applied, the hydrogen production reached 440 mmol L-1, which was substantially greater than the hydrogen production rate of 150 mmol L-1 during water decomposition.

Correction: Hydrogen production by electrochemical reaction using ethylene glycol with terephthalic acid.

[This corrects the article DOI: 10.1039/D0RA10187G.].