Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy.

Accurate prediction of binding between human leukocyte antigen (HLA) class I molecules and antigenic peptide segments is a challenging task and a key bottleneck in personalized immunotherapy for cancer. Although existing prediction tools have demonstrated significant results using established datasets, most can only predict the binding affinity of antigenic peptides to HLA and do not enable the immunogenic interpretation of new antigenic epitopes. This limitation results from the training data for the computational models relying heavily on a large amount of peptide-HLA (pHLA) eluting ligand data, in which most of the candidate epitopes lack immunogenicity.

[Effects of simulated repeated transcranial acupuncture on learning and memory and cerebral microvascular flow in vascular dementia rats].

Objectives: To observe the effect of simulated repeated transcranial acupuncture (rTAS) on learning and memory abilities and cerebral microvascular flow in vascular dementia (VD) model rats, so as to explore the potential mechanism of rTAS in treating VD.

Methods: Thirty-two Wistar rats were randomly divided into normal, model, acupuncture and rTAS groups (=8 rats in each group). The VD model was established by permanent ligation of bilateral common carotid arteries.

Ligustrazine alleviates spinal cord injury-induced neuropathic pain by inhibiting the TLR4/NF-κB signaling pathway.

Objective: To investigate the effects of ligustrazine on neuropathic pain (NPP) in rats with sciatic nerve injury and to provide new scientific insight for broadening the clinical application of ligustrazine.

Methods: Human spinal cord cell line STR cells were transfected with TLR4-mimic or mimic negative control (mimic-NC). After transfection, the STR cells were treated with different concentrations of ligustrazine (0, 0.

Research progress on pathogenesis of chronic fatigue syndrome and treatment of traditional Chinese and Western medicine.

Chronic Fatigue Syndrome (CFS) is a complex and perplexing medical disorder primarily characterized by persistent and debilitating fatigue, often accompanied by a constellation of symptoms, including weakness, dyspnea, arthromyalgia, sore throat, and disrupted sleep patterns. CFS is defined by its persistent or recurrent manifestation for a minimum duration of six months, marked by an enduring and unrelenting fatigue that remains refractory to rest. In recent decades, this condition has garnered significant attention within the medical community.

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.

While significant strides have been made in predicting neoepitopes that trigger autologous CD4+ T cell responses, accurately identifying the antigen presentation by human leukocyte antigen (HLA) class II molecules remains a challenge. This identification is critical for developing vaccines and cancer immunotherapies. Current prediction methods are limited, primarily due to a lack of high-quality training epitope datasets and algorithmic constraints.

Effect of electroacupuncture on expression of protein phosphorylation in hippocampus tissues of rats with chronic fatigue syndrome.

Objectives: To observe the effect of electroacupuncture (EA) on behavior and hippocampal protein phosphorylation in rats with chronic fatigue syndrome (CFS), so as to explore its mechanisms underlying improvement of CFS.

Methods: Male SD rats were randomly divided into control, model and EA groups (=12 rats in each group). The CFS model was established by chronic multifactor combined with stress stimulation (treadmill training + restraint stress + sleep disturbance + crowded environment).

Clinical observation on treatment of Alzheimer's disease with Sun's scalp-abdominal acupuncture combined with donepezil hydrochloride.

Objectives: To observe the effect of scalp-abdominal acupuncture combined with donepezil hydrochloride on cognition and life ability of patients with Alzheimer's disease (AD), so as to evaluate its clinical efficacy.

Methods: Sixty AD patients were collected and randomly divided into control group (30 cases) and observation group (30 cases). Patients in the control group were treated with oral donepezil hydrochloride (5 mg, once daily).

Effect of electroacupuncture on behavior and hippocampal inflammatory factors in rats with chronic fatigue syndrome.

Objectives: To observe the effect of electroacupuncture (EA) on the changes of behavior and hippocampal inflammatory factors in rats with chronic fatigue syndrome (CFS), so as to explore its possible mechanisms in the treatment of CFS.

Methods: Twenty-seven SD rats were randomly divided into control, model and electroacupuncture (EA) groups (=9 rats in each group). The CFS model was established by multi-factor compound stress stimulation method.

Exploring the central mechanism of mind-regulation electroacupuncture in treatment of chronic fatigue syndrome with anxiety and depression comorbidity based on functional magnetic resonance imaging.

Objectives: To observe the changes in the regional homogeneity (ReHo) and functional brain network in treatment of chronic fatigue syndrome (CFS) with anxiety and depression comorbidity with the mind-regulation electroacupuncture (EA), using resting-state functional magnetic resonance imaging (rs-fMRI).

Methods: Thirty CFS patients with anxiety and depression comorbidity were enrolled from medical staffs as the observation group. The other 30 healthy subjects were recruited from medical university students as the control group, matching gender, age and education years with the observation group.

Integrated 'omics analysis for the gut microbiota response to moxibustion in a rat model of chronic fatigue syndrome.

Objective: To observe the efficacy of moxibustion in the treatment of chronic fatigue syndrome (CFS) and explore the effects on gut microbiota and metabolic profiles.

Methods: Forty-eight male Sprague-Dawley rats were randomly assigned to control group (Con), CFS model group (Mod, established by multiple chronic stress for 35 d), MoxA group (CFS model with moxibustion Shenque (CV8) and Guanyuan (CV4), 10 min/d, 28 d) and MoxB group (CFS model with moxibustion Zusanli (ST36), 10 min/d, 28 d). Open-field test (OFT) and Morris-water-maze test (MWMT) were determined for assessment the CFS model and the therapeutic effects of moxibustion.

Research progress on central mechanism of acupuncture treatment for chronic fatigue syndrome.

Chronic fatigue syndrome is a neurological disorder characterized by extreme fatigue that lasts for a long time and doesn't alleviate with rest. The number of the cases has been increasing during the era of COVID-19 pandemic. Acupuncture may have some effect on chronic fatigue syndrome, but its mechanism remains unclear.

[Mechanism of acupuncture and moxibustion in treatment of chronic fatigue syndrome from perspective of intestinal flora].

Intestinal flora dysbiosis may play an important role in the occurrence and development of chronic fatigue syndrome (CFS), which may induce the inflammatory response and metabolic disturbance of patients with CFS. Acupuncture and moxibustion may achieve anti-fatigue effect by affecting the diversity and quantity of intestinal flora, improving intestinal barrier function, and regulating brain-gut peptides.

A meta-analysis evaluating effects of the rotigotine in Parkinson's disease, focusing on sleep disturbances and activities of daily living.

Background: Rotigotine transdermal patch (TP) is a useful dopaminergic medication for Parkinson's disease (PD). This meta-analysis attempted to evaluate the effects of rotigotine TP on motor performance, activities of daily living (ADL) limitations, and sleep disturbances in patients with PD.

Methods: Only randomized controlled clinical trials (RCTs) with placebo design were included in this study.

Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface.

Brain-computer interfaces (BCIs), a new type of rehabilitation technology, pick up nerve cell signals, identify and classify their activities, and convert them into computer-recognized instructions. This technique has been widely used in the rehabilitation of stroke patients in recent years and appears to promote motor function recovery after stroke. At present, the application of BCI in poststroke cognitive impairment is increasing, which is a common complication that also affects the rehabilitation process.

[Electroacupuncture improves cognitive function by inhibiting NF-κB activity in rats with chronic fatigue syndrome].

Objective: To observe the effect of electroacupuncture (EA) on the expression of NF-κB p65 in hippocampus and the morphology of hippocampus in rats with chronic fatigue syndrome (CFS), so as to explore its mechanism in improving cognitive dysfunction of CFS.

Methods: Forty-eight SD rats were randomly divided into control, model, EA and inhibitor groups (=12 in each group). The CFS model was established by multi-factor compound stress stimulation method.

Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke.

In order to evaluate the importance of deep learning techniques in stroke diseases, this paper systematically reviews the relevant literature. Deep learning techniques have a significant impact on the diagnosis, treatment, and prediction of stroke. In addition, this study also discusses the current bottlenecks and the future development prospects of deep learning technology.

The Effect of 3D Printing Metal Materials on Osteoporosis Treatment.

3D printing has been in use for a long time and has continued to contribute to breakthroughs in the fields of clinical, physical, and rehabilitation medicine. In order to evaluate the role of 3D printing technology in treating spinal disorders, this paper presents a systematic review of the relevant literature. 3D printing is described in terms of its adjunctive function in various stages of spinal surgery and assistance in osteoporosis treatment.

Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation.

With the continuous development of artificial intelligence technology, "brain-computer interfaces" are gradually entering the field of medical rehabilitation. As a result, brain-computer interfaces (BCIs) have been included in many countries' strategic plans for innovating this field, and subsequently, major funding and talent have been invested in this technology. In neurological rehabilitation for stroke patients, the use of BCIs opens up a new chapter in "top-down" rehabilitation.

Protective effect of rhaponticin on ovariectomy-induced osteoporosis in rats.

Rhaponticin is a constituent isolated from numerous medicinal herbs. It has been reported earlier that rhaponticin possesses numerous biological effects like antiallergic, antidiabetic, hepatoprotective, and antithrombosis. The goal of this exploration was to scrutinize the therapeutic potential of rhaponticin on ovariectomy (OVX)-triggered osteoporosis in rats.

Erratum to "Punicalin Alleviates OGD/R-Triggered Cell Injury via TGF--Mediated Oxidative Stress and Cell Cycle in Neuroblastoma Cells SH-SY5Y.

[This corrects the article DOI: 10.1155/2021/6671282.].

Resting-State fMRI in Studies of Acupuncture.

Research exploring the mechanism of acupuncture has been a hot topic in medicine. Resting-state functional magnetic resonance imaging (rs-fMRI) research is a noninvasive and extensive method, which is aimed at the research of the mechanism of acupuncture. Researchers use fMRI technologies to inspect the acupuncture process.

Overview of Artificial Intelligence Applications in Chinese Medicine Therapy.

To evaluate the importance of AI technologies in modernizing traditional Chinese medicine (TCM) therapy, this article presents the systematic review of the relevant literature and explains the beneficial effects of AI technology on the TCM treatment outcomes from the experience of famous and veteran Chinese medicines, including acupuncture, Tui Na massage, and Qigong practitioners. This study also focuses on the urgent necessity to apply AI technologies to develop therapeutic models on the theme "treating the disease before it happens." Furthermore, the study also discusses the major bottlenecks and future prospects for the development of intelligent TCM treatment strategies.

Discussion on the Rehabilitation of Stroke Hemiplegia Based on Interdisciplinary Combination of Medicine and Engineering.

Interdisciplinary combinations of medicine and engineering are part of the strategic plan of many universities aiming to be world-class institutions. One area in which these interactions have been prominent is rehabilitation of stroke hemiplegia. This article reviews advances in the last five years of stroke hemiplegia rehabilitation via interdisciplinary combination of medicine and engineering.

Development and Application of Artificial Intelligence in Auxiliary TCM Diagnosis.

As an emerging comprehensive discipline, artificial intelligence (AI) has been widely applied in various fields, including traditional Chinese medicine (TCM), a treasure of the Chinese nation. Realizing the organic combination of AI and TCM can promote the inheritance and development of TCM. The paper summarizes the development and application of AI in auxiliary TCM diagnosis, analyzes the bottleneck of artificial intelligence in the field of auxiliary TCM diagnosis at present, and proposes a possible future direction of its development.