Deep Learning-Based Kinetic Analysis in Paper-Based Analytical Cartridges Integrated with Field-Effect Transistors.

This study explores the fusion of a field-effect transistor (FET), a paper-based analytical cartridge, and the computational power of deep learning (DL) for quantitative biosensing via kinetic analyses. The FET sensors address the low sensitivity challenge observed in paper analytical devices, enabling electrical measurements with kinetic data. The paper-based cartridge eliminates the need for surface chemistry required in FET sensors, ensuring economical operation (cost < $0.15/test). The DL analysis mitigates chronic challenges of FET biosensors such as sample matrix interference, by leveraging kinetic data from target-specific bioreactions. In our proof-of-concept demonstration, our DL-based analyses showcased a coefficient of variation of <6.46% and a decent concentration measurement correlation with an r2 value of >0.976 for cholesterol testing when blindly compared to results obtained from a CLIA-certified clinical laboratory. These integrated technologies have the potential to advance FET-based biosensors, potentially transforming point-of-care diagnostics and at-home testing through enhanced accessibility, ease-of-use, and accuracy.

Functional impacts of PtrMYB203 on phenylpropanoid pathway regulation and wood properties in hybrid poplar.

The phenylpropanoid pathway is vital for plant growth and development, producing lignin and flavonoids. This study investigates PtrMYB203, a homolog of MYB repressors of proanthocyanidin (PA) biosynthesis in Populus trichocarpa, as a transcriptional repressor in the phenylpropanoid pathway of hybrid poplar (Populus alba x P. glandulosa). Overexpression of PtrMYB203 (35S::PtrMYB203) in hybrid poplar detrimentally impacted plant growth and development. Histological analysis revealed irregular xylem vessel formation and decreased lignin content, corroborated by Klason lignin assays. Moreover, 35S::PtrMYB203 transgenic poplars exhibited significant decreases in anthocyanin and PA accumulations in callus tissues, even under high light conditions. Quantitative RT-PCR analysis and protoplast-based transcriptional activation assay confirmed the downregulation of lignin and flavonoid biosynthesis genes. This genetic modification also alters the expression of several MYB transcription factors, essential for phenylpropanoid pathway regulation. Remarkably, saccharification efficiency in the 35S::PtrMYB203 poplar was improved by over 34% following hot water treatment alone. These findings suggest PtrMYB203 as a potential genetic target for enhancing wood properties for bioenergy production, providing valuable insights into the manipulation of metabolite pathways in woody perennials to advance wood biotechnology.

Decoding Bitcoin: leveraging macro- and micro-factors in time series analysis for price prediction.

Predicting Bitcoin prices is crucial because they reflect trends in the overall cryptocurrency market. Owing to the market's short history and high price volatility, previous research has focused on the factors influencing Bitcoin price fluctuations. Although previous studies used sentiment analysis or diversified input features, this study's novelty lies in its utilization of data classified into more than five major categories. Moreover, the use of data spanning more than 2,000 days adds novelty to this study. With this extensive dataset, the authors aimed to predict Bitcoin prices across various timeframes using time series analysis. The authors incorporated a broad spectrum of inputs, including technical indicators, sentiment analysis from social media, news sources, and Google Trends. In addition, this study integrated macroeconomic indicators, on-chain Bitcoin transaction details, and traditional financial asset data. The primary objective was to evaluate extensive machine learning and deep learning frameworks for time series prediction, determine optimal window sizes, and enhance Bitcoin price prediction accuracy by leveraging diverse input features. Consequently, employing the bidirectional long short-term memory (Bi-LSTM) yielded significant results even without excluding the COVID-19 outbreak as a black swan outlier. Specifically, using a window size of 3, Bi-LSTM achieved a root mean squared error of 0.01824, mean absolute error of 0.01213, mean absolute percentage error of 2.97%, and an R-squared value of 0.98791. Additionally, to ascertain the importance of input features, gradient importance was examined to identify which variables specifically influenced prediction results. Ablation test was also conducted to validate the effectiveness and validity of input features. The proposed methodology provides a varied examination of the factors influencing price formation, helping investors make informed decisions regarding Bitcoin-related investments, and enabling policymakers to legislate considering these factors.

Hybrid CMOS-Memristor synapse circuits for implementing Ca ion-based plasticity model.

Neuromorphic computing research is being actively pursued to address the challenges posed by the need for energy-efficient processing of big data. One of the promising approaches to tackle the challenges is the hardware implementation of spiking neural networks (SNNs) with bio-plausible learning rules. Numerous research works have been done to implement the SNN hardware with different synaptic plasticity rules to emulate human brain operations. While a standard spike-timing-dependent-plasticity (STDP) rule is emulated in many SNN hardware, the various STDP rules found in the biological brain have rarely been implemented in hardware. This study proposes a CMOS-memristor hybrid synapse circuit for the hardware implementation of a Ca ion-based plasticity model to emulate the various STDP curves. The memristor was adopted as a memory device in the CMOS synapse circuit because memristors have been identified as promising candidates for analog non-volatile memory devices in terms of energy efficiency and scalability. The circuit design was divided into four sub-blocks based on biological behavior, exploiting the non-volatile and analog state properties of memristors. The circuit was designed to vary weights using an H-bridge circuit structure and PWM modulation. The various STDP curves have been emulated in one CMOS-memristor hybrid circuit, and furthermore a simple neural network operation was demonstrated for associative learning such as Pavlovian conditioning. The proposed circuit is expected to facilitate large-scale operations for neuromorphic computing through its scale-up.

The Impact of Supersaturated Electrode on Heterogeneous Lithium Nucleation and Growth Dynamics.

The concept of a lithiophilic electrode proves inadequate in describing carbon-based electrode materials due to their substantial mismatch in surface energy with lithium metal. However, their notable capacity for lithium chemisorption can increase active lithium concentration required for nucleation and growth, thereby enhancing the electrochemical performance of lithium metal anodes (LMAs). In this study, we elucidate the effects of the supersaturated electrode which has high active lithium capacity around equilibrium lithium potential on LMAs through an in-depth electrochemical comparison using two distinct carbon electrode platforms with differing carbon structures but similar two-dimensional morphologies. In the supersaturated electrode, both the dynamics and thermodynamic states involved in lithium nucleation and growth mechanisms are significantly improved, particularly under continuous current supply conditions. Furthermore, the chemical structures of the solid-electrolyte-interface layers (SEIs) are greatly influenced by the elevated surface lithium concentration environment, resulting in the formation of more conductive lithium-rich SEI layers. The improved dynamics and thermodynamics of surface lithium, coupled with the formation of enhanced SEI layers, contribute to higher power capabilities, enhanced Coulombic efficiencies, and improved cycling performances of LMAs. These results provide new insight into understanding the enhancements in heterogeneous lithium nucleation and growth kinetics on the supersaturated electrode.

Possible effect of exercise with anti-fatigue nutrition on ROS-induced depression and suicide risk: a review.

PURPOSE: Epidemiological evidence shows that physical activity, including continuous stimulus changes and appropriate exercise programs, improves brain degeneration in the hippocampus, prefrontal cortex (PFC), and anterior cingulate cortex (ACC). Therefore, we investigated the possible synergistic effects of physical activity and nutrition in controlling chronic fatigue and reducing oxidative stress in patients at risk for depression and suicide. METHODS: We systematically reviewed the literature on various systemic factors related to the effects of 1) suppressing oxidative stress and 2) improving depression through exercise and nutrition. To conduct this review, we searched the PubMed database for papers published until May 1, 2024, using the terms "physical activity OR exercise" and "fatigue" OR "anti-fatigue," "oxidative stress" and "depression" and "suicide." We then reviewed the resulting list of articles related to antioxidant mechanisms. RESULTS: Appropriate physical activity and natural product intake can substantially change whole-body homeostasis and provide a way to overcome the threat of depression and suicide by regulating metabolites, scavenging free radicals, and neurotransmitters. CONCLUSION: Suicide and depression prevention play crucial roles in improving patients' quality of life. Our review provides evidence supporting the idea that exercise and antioxidant nutrition diminish oxidative stress and fatigue by improving the degeneration of the hippocampus, PFC, and ACC.

Transcriptomic profiling of intermediate cell carcinoma of the liver.

BACKGROUND: Intermediate cell carcinoma (Int-CA) is a rare and enigmatic primary liver cancer characterized by uniform tumor cells exhibiting mixed features of both HCC and intrahepatic cholangiocarcinoma. Despite the unique pathological features of int-CA, its molecular characteristics remain unclear yet. METHODS: RNA sequencing and whole genome sequencing profiling were performed on int-CA tumors and compared with those of HCC and intrahepatic cholangiocarcinoma. RESULTS: Int-CAs unveiled a distinct and intermediate transcriptomic feature that is strikingly different from both HCC and intrahepatic cholangiocarcinoma. The marked abundance of splicing events leading to intron retention emerged as a signature feature of int-CA, along with a prominent expression of Notch signaling. Further exploration revealed that METTL16 was suppressed within int-CA, showing a DNA copy number-dependent transcriptional deregulation. Notably, experimental investigations confirmed that METTL16 suppression facilitated invasive tumor characteristics through the activation of the Notch signaling cascade. CONCLUSIONS: Our results provide a molecular landscape of int-CA featured by METTL16 suppression and frequent intron retention events, which may play pivotal roles in the acquisition of the aggressive phenotype of Int-CA.

Roles of metabotropic glutamate receptor 5 in low [Mg2+]o-induced interictal epileptiform activity in rat hippocampal slices.

Group I metabotropic glutamate receptors (mGluRs) modulate postsynaptic neuronal excitability and epileptogenesis. We investigated roles of group I mGluRs on low extracellular Mg2+ concentration ([Mg2+]o)-induced epileptiform activity and neuronal cell death in the CA1 regions of isolated rat hippocampal slices without the entorhinal cortex using extracellular recording and propidium iodide staining. Exposure to Mg2+-free artificial cerebrospinal fluid can induce interictal epileptiform activity in the CA1 regions of rat hippocampal slices. MPEP, a mGluR 5 antagonist, significantly inhibited the spike firing of the low [Mg2+]o-induced epileptiform activity, whereas LY367385, a mGluR1 antagonist, did not. DHPG, a group 1 mGluR agonist, significantly increased the spike firing of the epileptiform activity. U73122, a PLC inhibitor, inhibited the spike firing. Thapsigargin, an ER Ca2+-ATPase antagonist, significantly inhibited the spike firing and amplitude of the epileptiform activity. Both the IP3 receptor antagonist 2-APB and the ryanodine receptor antagonist dantrolene significantly inhibited the spike firing. The PKC inhibitors such as chelerythrine and GF109203X, significantly increased the spike firing. Flufenamic acid, a relatively specific TRPC 1, 4, 5 channel antagonist, significantly inhibited the spike firing, whereas SKF96365, a relatively non-specific TRPC channel antagonist, did not. MPEP significantly decreased low [Mg2+]o DMEM-induced neuronal cell death in the CA1 regions, but LY367385 did not. We suggest that mGluR 5 is involved in low [Mg2+]oinduced interictal epileptiform activity in the CA1 regions of rat hippocampal slices through PLC, release of Ca2+ from intracellular stores and PKC and TRPC channels, which could be involved in neuronal cell death.

Functional Impact of the FADS1 rs174546 Single Nucleotide Polymorphism on Serum Lipid Levels: Insights from Molecular Mechanisms and Therapeutic Perspectives in Korean Population.

SCOPE: Single nucleotide polymorphisms (SNP) in the fatty acid desaturase 1 (FADS1) gene is suggested as risk factor of metabolic diseases in genome-wide association studies (GWAS). This study hypothesized that FADS1_rs174546T associates with serum triglycerides (TG) in Korean Genome and Epidemiology Study (KoGES). In addition, functional study of SNP genotypes in cultured cells is performed. METHODS AND RESULTS: FADS1_rs174546T is associated with high level of serum TG (effect size of variant: 6.48 ± 1.84 mg dL-1) in Korean individuals (normotriglyceridemia, n = 5128; hypertriglyceridemia, n = 3714). Functional study in cells with FADS1_rs174546T, shows reduced transcriptional activity, when compared with rs174546C. MiR-6728-3p, which is predicted to bind with rs174546T, decreases transcriptional activity of rs174546T but not in rs174546C, and it is reversed by miR-6728-3p inhibitor. Formononetin is selected as binding molecule to 3'-UTR of FADS1 and increases luciferase activity in both rs174546 (C/T). Moreover, formononetin compensates for the reduced luciferase activity by rs174546T and miR-6728-3p. Formononetin also increases endogenous FADS1 expression and long-chain polyunsaturated fatty acid (LC-PUFA) ratio. CONCLUSION: FADS1_rs174546T is a crucial risk factor for hypertriglyceridemia in the Koreans potentially through the interaction with miR-6728-3p. Formononetin can be a potent dietary intervention to prevent and improve hypertriglyceridemia in both rs174546 (C/T) populations.

Balloon-expandable cobalt chromium stent versus self-expandable nitinol stent for the Atherosclerotic Iliac Arterial Disease (SENS-ILIAC Trial) Trial: a randomized controlled trial.

Iliac artery angioplasty with stenting is an effective alternative treatment modality for aortoiliac occlusive diseases. Few randomized controlled trials have compared the efficacy and safety between self-expandable stent (SES) and balloon-expandable stent (BES) in atherosclerotic iliac artery disease. In this randomized, multicenter study, patients with common or external iliac artery occlusive disease were randomly assigned in a 1:1 ratio to either BES or SES. The primary end point was the 1-year clinical patency, defined as freedom from any surgical or percutaneous intervention due to restenosis of the target lesion after the index procedure. The secondary end point was a composite event from major adverse clinical events at 1 year. A total of 201 patients were enrolled from 17 major cardiovascular intervention centers in South Korea. The mean age of the enrolled patients was 66.8 ± 8.5 years and 86.2% of the participants were male. The frequency of critical limb ischemia was 15.4%, and the most common target lesion was in the common iliac artery (75.1%). As the primary end point, the 1-year clinical patency as primary end point was 99% in the BES group and 99% in the SES group (p > 0.99). The rate of repeat revascularization at 1 year was 7.8% in the BES group and 7.0% in the SES group (p = 0.985; confidence interval, 1.011 [0.341-2.995]). In our randomized study, the treatment of iliac artery occlusive disease with self-expandable versus balloon-expandable stent was comparable in 12-month clinical outcomes without differences in the procedural success or geographic miss rate regardless of the deployment method in the distal aortoiliac occlusive lesion (ClinicalTrials.gov, NCT01834495).

The effectiveness of tumor necrosis factor-α blocker therapy in patients with axial spondyloarthritis who failed conventional treatment: a comparative study focused on improvement in ASAS Health Index.

Objective: The purpose of this study is to evaluate the impact of tumor necrosis factor (TNF)-α blocker therapy on the Assessment of SpondyloArthritis international Society Health Index (ASAS-HI) among patients who have failed conventional nonsteroidal anti-inflammatory drugs. Methods: A comparative study was conducted involving axial spondyloarthritis (axSpA) patients treated with either TNF-α blocker or conventional therapy. Patient data, including demographics, disease characteristics, and ASAS-HI scores, were collected before and after treatment. Statistical analysis was performed to compare changes in ASAS-HI scores between the TNF-α blocker and the conventional therapy group. Results: The study population consisted of patients with axSpA, with a mean age of 38.3 years in conventional treatment group and 29.3 years in TNF-α blocker group. Most variables, including C-reactive protein levels, other comorbidities, and disease assessment scores showed no significant difference between groups. Longitudinal analysis within each treatment group from Week 0 to 12 showed no significant change in the conventional treatment group, whereas the TNF-α blocker group experienced a significant reduction in ASAS-HI scores, demonstrating the effectiveness of the treatment. The TNF-α blocker group exhibited a significantly greater improvement in ASAS-HI scores compared to the conventional therapy group. The Bath Ankylosing Spondylitis Functional Index and the Bath Ankylosing Spondylitis Disease Activity Index demonstrated strong positive correlations with ASAS-HI scores, indicating higher disease activity and functional limitation are associated with worse health outcomes in patients. Conclusion: The research demonstrates that ASAS-HI scores significantly improve with TNF-α blocker therapy in axSpA patients, underscoring ASAS-HI's effectiveness as a tool for evaluating drug responses.

Artificial Multimodal Neuron with Associative Learning Capabilities: Acquisition, Extinction, and Spontaneous Recovery.

Associative multimodal artificial intelligence (AMAI) has gained significant attention across various fields, yet its implementation poses challenges due to the burden on computing and memory resources. To address these challenges, researchers have paid increasing attention to neuromorphic devices based on novel materials and structures, which can implement classical conditioning behaviors with simplified circuitry. Herein, we introduce an artificial multimodal neuron device that shows not only the acquisition behavior but also the extinction and the spontaneous recovery behaviors for the first time. Being composed of an ovonic threshold switch (OTS)-based neuron device, a conductive bridge memristor (CBM)-based synapse device, and a few passive electrical elements, such observed behaviors of this neuron device are explained in terms of the electroforming and the diffusion of metallic ions in the CBM. We believe that the proposed associative learning neuron device will shed light on the way of developing large-scale AMAI systems by providing inspiration to devise an associative learning network with improved energy efficiency.

Bee (Apis mellifera L. 1758) wax restores adipogenesis and lipid accumulation of 3T3-L1 cells in cancer-associated cachexia condition.

Cachexia is associated with various diseases, such as heart disease, infectious disease, and cancer. In particular, cancer-associated cachexia (CAC) accounts for more than 20% of mortality in cancer patients worldwide. Adipose tissue in CAC is characterized by adipocyte atrophy, mainly due to excessively increased lipolysis and impairment of adipogenesis. CAC is well known for the loss of skeletal muscle mass and/or fat mass. CAC induces severe metabolic alterations, including protein, lipid, and carbohydrate metabolism. The objectives of this study were to evaluate the effects of bee wax (Apis mellifera L. 1758) (BW) extract on adipogenesis, lipolysis, and mitochondrial oxygen consumption through white adipocytes, 3T3-L1. To achieve this study, cancer-associated cachexia condition was established by incubation of 3T3-L1 with colon cancer cell line CT26 cultured media. BW extract recovered the reduced adipogenesis under cachectic conditions in CT26 media. Treatment of BW showed increasing lipid accumulation as well as adipogenic gene expression and its target gene during adipogenesis. The administration of BW to adipocytes could decrease lipolysis. Also, BW could significantly downregulated the mitochondrial fatty acid oxidation-related genes, oxygen consumption rate, and extracellular acidification rate. Our results suggest that BW could improve metabolic disorders such as CAC through the activation of adipogenesis and inhibition of lipolysis in adipocytes, although we need further validation in vivo CAC model to check the effects of BW extract. Therefore, BW extract supplements could be useful as an alternative medicine to reverse energy imbalances.

Single-cell analysis of human PBMCs in healthy and type 2 diabetes populations: dysregulated immune networks in type 2 diabetes unveiled through single-cell profiling.

Abnormalities in glucose metabolism that precede the onset of type 2 diabetes (T2D) activate immune cells, leading to elevated inflammatory factors and chronic inflammation. However, no single-cell RNA sequencing (scRNA-seq) studies have characterized the properties and networks of individual immune cells in T2D. Here, we analyzed peripheral blood mononuclear cells (PBMCs) from non-diabetes and T2D patients by scRNA-seq. We found that CD14 monocytes in T2D patients were in a pro-inflammatory state and intermediate monocytes expressed more MHC class II genes. In T2D patients, cytotoxic CD4 T cells, effector memory CD8 T cells, and γδ T cells have increased cytotoxicity and clonal expansion. B cells were characterized by increased differentiation into intermediate B cells, plasma cells, and isotype class switching with increased expression of soluble antibody genes. These results suggest that monocytes, T cells, and B cells could interact to induce chronic inflammation in T2D patients with pro-inflammatory characteristics.

Resistin Regulates Inflammation and Insulin Resistance in Humans via the Endocannabinoid System.

Resistin plays an important role in the pathophysiology of obesity-mediated insulin resistance in mice. However, the biology of resistin in humans is quite different from that in rodents. Therefore, the association between resistin and insulin resistance remains unclear in humans. Here, we tested whether and how the endocannabinoid system (ECS) control circulating peripheral blood mononuclear cells (PBMCs) that produce resistin and infiltrate into the adipose tissue, heart, skeletal muscle, and liver, resulting in inflammation and insulin resistance. Using human PBMCs, we investigate whether the ECS is connected to human resistin. To test whether the ECS regulates inflammation and insulin resistance in vivo, we used 2 animal models such as "humanized" nonobese diabetic/Shi-severe combined immunodeficient interleukin-2Rγ (null) (NOG) mice and "humanized" resistin mouse models, which mimic human body. In human atheromatous plaques, cannabinoid 1 receptor (CB1R)-positive macrophage was colocalized with the resistin expression. In addition, resistin was exclusively expressed in the sorted CB1R-positive cells from human PBMCs. In CB1R-positive cells, endocannabinoid ligands induced resistin expression via the p38-Sp1 pathway. In both mouse models, a high-fat diet increased the accumulation of endocannabinoid ligands in adipose tissue, which recruited the CB1R-positive cells that secrete resistin, leading to adipose tissue inflammation and insulin resistance. This phenomenon was suppressed by CB1R blockade or in resistin knockout mice. Interestingly, this process was accompanied by mitochondrial change that was induced by resistin treatment. These results provide important insights into the ECS-resistin axis, leading to the development of metabolic diseases. Therefore, the regulation of resistin via the CB1R could be a potential therapeutic strategy for cardiometabolic diseases.

Antibiotic Resistance in Acetic Acid Bacteria Originating from Vinegar.

Acetic acid bacteria (AAB) are major contributors to the production of fermented vinegar, offering various cultural, culinary, and health benefits. Although the residual unpasteurized AAB after vinegar production are not pathogens, these are necessary and require safety evaluations, including antibiotic resistance, before use as a starter. In this research, we investigated the antibiotic resistance profiles of 26 AAB strains, including various species of Komagataeibacter and Acetobacter, against 10 different antibiotics using the E-test method. All strains exhibited resistance to aztreonam and clindamycin. Komagataeibacter species demonstrated a 50% resistance rate to ciprofloxacin, analogous to Acetobacter species, but showed twice the resistance rates to chloramphenicol and erythromycin. Genomic analysis of K. saccharivorans CV1 identified intrinsic resistance mechanisms, such as multidrug efflux pumps, thereby enhancing our understanding of antibiotic resistance in acetic acid-producing bacteria. These findings enhance understanding of antibiotic resistance in AAB for food safety and new antimicrobial strategies, suggesting the need for standardized testing methods and molecular genetic study.

Novel insights into regulators and functional modulators of adipogenesis.

Adipogenesis is a process that differentiates new adipocytes from precursor cells and is tightly regulated by several factors, including many transcription factors and various post-translational modifications. Recently, new roles of adipogenesis have been suggested in various diseases. However, the molecular mechanisms and functional modulation of these adipogenic genes remain poorly understood. This review summarizes the regulatory factors and modulators of adipogenesis and discusses future research directions to identify novel mechanisms regulating adipogenesis and the effects of adipogenic regulators in pathological conditions. The master adipogenic transcriptional factors PPARγ and C/EBPα were identified along with other crucial regulatory factors such as SREBP, Kroxs, STAT5, Wnt, FOXO1, SWI/SNF, KLFs, and PARPs. These transcriptional factors regulate adipogenesis through specific mechanisms, depending on the adipogenic stage. However, further studies related to the in vivo role of newly discovered adipogenic regulators and their function in various diseases are needed to develop new potent therapeutic strategies for metabolic diseases and cancer.

Preclinical evaluation of stereopure antisense oligonucleotides for allele-selective lowering of mutant HTT.

Huntington's disease (HD) is an autosomal dominant disease caused by the expansion of cytosine-adenine-guanine (CAG) repeats in one copy of the HTT gene (mutant HTT, mHTT). The unaffected HTT gene encodes wild-type HTT (wtHTT) protein, which supports processes important for the health and function of the central nervous system. Selective lowering of mHTT for the treatment of HD may provide a benefit over nonselective HTT-lowering approaches, as it aims to preserve the beneficial activities of wtHTT. Targeting a heterozygous single-nucleotide polymorphism (SNP) where the targeted variant is on the mHTT gene is one strategy for achieving allele-selective activity. Herein, we investigated whether stereopure phosphorothioate (PS)- and phosphoryl guanidine (PN)-containing oligonucleotides can direct allele-selective mHTT lowering by targeting rs362273 (SNP3). We demonstrate that our SNP3-targeting molecules are potent, durable, and selective for mHTT in vitro and in vivo in mouse models. Through comparisons with a surrogate for the nonselective investigational compound tominersen, we also demonstrate that allele-selective molecules display equivalent potency toward mHTT with improved durability while sparing wtHTT. Our preclinical findings support the advancement of WVE-003, an investigational allele-selective compound currently in clinical testing (NCT05032196) for the treatment of patients with HD.