Restless leg syndrome (Restless legs syndrome, RLS) is a common neurological disorder. The pathogenesis of RLS remains unknown, and recent pathophysiological developments have shown the contribution of various genetic markers, neurotransmitter dysfunction, and iron deficiency to the disease, as well as other unidentified contributing mechanisms, particularly chronic renal dysfunction. RLS enhancement syndrome is frequently observed in patients with RLS who have received long-term dopamine agonist therapy, manifesting as a worsening of RLS symptoms, usually associated with an increase in the dose of dopamine agonist. Some patients with RLS can adequately control their symptoms with non-pharmacological measures such as massage and warm baths. First-line treatment options include iron supplementation for those with evidence of reduced iron stores, or gabapentin or pregabalin, as well as dopamine agonists, such as pramipexole. Second-line therapies include opioids such as tramadol. RLS seriously affects the quality of life of patients, and because its pathogenesis is unclear, more biological evidence and treatment methods need to be explored.Abbreviations: BID = brain iron deficiency, CNS = central nervous system, GABA = gamma-aminobutyric acid, IRLSSG = International restless leg syndrome research group, PLMD = periodic limb movement disorder, PLMS = periodic leg movement in sleep, RLS = restless legs syndrome, WED = Willis-Ekbom disease.
Diabetic peripheral neuropathy (DPN) is the most common neuropathy in the world, mainly manifested as bilateral symmetry numbness, pain or paresthesia, with a high rate of disability and mortality. Schwann cells (SCs), derived from neural ridge cells, are the largest number of glial cells in the peripheral nervous system, and play an important role in DPN. Studies have found that SCs are closely related to the pathogenesis of DPN, such as oxidative stress, endoplasmic reticulum stress, inflammation, impaired neurotrophic support and dyslipidemia. This article reviews the mechanism of SCs in DPN.Abbreviations: AGE = advanced glycation end products, Akt = protein kinase B, AR = aldose reductase, BDNF = brain-derived neurotrophic factor, CHOP = CAAT/enhanced binding protein homologous protein, DNA = deoxyribonucleic acid, DPN = diabetic peripheral neuropathy, ER = endoplasmic reticulum, ERS = ER stress, GA = glycolaldehyde, GLU = glucose, IL = interleukin, LC3-II = light chain 3, miR = microribonucleic acid, mTORC = mammalian target of rapamycin complex, NF-κB = nuclear factor-κB, NGF = nerve growth factor, NLRP3 = NOD-like receptor protein 3, PA = palmitate, ROS = reactive oxygen species, RSC96 = rat SCs, SCs = Schwann cells, SREBP = sterol response element binding protein, TNF-α = tumor necrosis factor, TSH = thyroidstimulating hormone, XBP-1 = X-box binding protein-1.
In view of the uncertainty and diversity of the metabolic grey prediction model in the prediction process, resulting in poor prediction effect, a metabolic grey prediction model based on big data and Internet of things technology is constructed. Establish the aerobic metabolic process of human telecontrol and put forward the detection index of aerobic metabolic cycle function in human telecontrol; on this basis, use the metabolic grey prediction model analysis algorithm to determine the active intrusion intention of complex network, establish the intrusion intention attack behavior set function, establish the internal operation architecture under the technology of big data and Internet of things, and realize the construction of metabolic grey prediction model. The experimental results show that the constructed model can realize data prediction, with high confidence level and good effect.
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