Hypersomnias of central origin are defined as the inability to maintain wakefulness and alertness during the major waking episodes of the day， with the manifestation of irrepressible drowsiness or even unprovoked sleep attacks. This spectrum of disorders mainly includes narcolepsy type 1， narcolepsy type 2， idiopathic hypersomnia， and Kleine-Levin syndrome. Currently， the clinical diagnosis of hypersomnias of central origin mainly depends on subjective medical history， sleepiness scales， and electrophysiological assessments， and these conventional diagnostic methods are easily affected by confounding factors. A reduction in the level of hypocretin-1 in cerebrospinal fluid （CSF） is the gold standard for the diagnosis of narcolepsy type 1， while there is still a lack of specific and Objective laboratory markers for the other subtypes， resulting in the high rates of diagnostic delay and misdiagnosis. As Objective and quantifiable indicators for pathophysiological processes， biomarkers have an important clinical value in the early screening， precise phenotyping， and longitudinal monitoring of hypersomnias of central origin， as well as in the development of targeted therapies for this group of sleep disorders. This article systematically reviews the research advances in biomarkers associated with hypersomnias of central origin from the five dimensions of polysomnography and daytime functional assessment， peripheral serology， cerebrospinal fluid， neuroimaging， and autonomic nervous function， in order to provide a theoretical framework and evidence-based support for constructing a precise diagnosis and treatment system for these disorders.
Narcolepsy

Objective:To explore the correlations between the cerebral infarction area and cytokines and immune status in patients with acute ischemic stroke,and to provide the theoretical basis for immunotherapy of the patients with different degrees of cerebral infarction.Methods:Sixty-seven patients with acute ischemic stroke within 72 h of the onset were randomly selected according to the inclusion and exclusion criteria,and were divided into large-area cerebral infarction group(n=34)and non-large-area cerebral infarction group(n=33)on the basis of the biggest infarction area in the sequences of magnetic resonance diffusion-weighted imaging(CDWI).Clinical baseline characteristics such as gender,age,and medical history were collected from the patients in two groups,the serum levels of interleukin(IL)-2,IL-6,IL-10,and IL-17A,tumor necrosis factor-α(TNF-α),and interferon-γ(IFN-γ)were measured using flow cytometry;the absolute values of lymphocytes(LYM#),lymphocyte percentages(LYM％),and neutrophil/lymphocy ratios(NLR)in peripheral blood of the patients caiculated,and the ratios of IFN-γ/IL-4,TNF-α/IL-4,and TNF-α/IL-10 rations were also calculated.The values of National Institutes of Health Stroke Scale(NIHSS)scores of the patients were evaluatd on the basis of the assessment of clinical neurological signs.The correlations of the cerebral infarction area and NIHSS score,cytokines and immune status groups of the patients in two were tested by rank correlation analysis.Results:Compared with non-large-area cerebral infarction group,the serum levels of IL-2,IL-6,IL-10,IL-17A,TNF-α,and IFN-γ as well as the NLR in the peripheral blood of the patients in large-area cerebral infarction group were significantly increased(P＜0.01),while the LYM#,LYM％and TNF-α/IL-4 were significantly decreased(P＜0.01).There was a positive correlation between cerebral infarction area and NIHSS score in the patients in large-area cerebral infarction group(rs=0.521,P＜0.05),and there was a significantly positive correlation between cerebral infarct area and NIHSS score in the patients in non-large-area cerebral infarction group(rs=0.721,P＜0.001).The NIHSS scores were positively correlated with serum IL-6(rs=0.306,P=0.005),IL-4(rs=0.252,P＜0.001),IL-2(rs=0.109,P=0.025),IL-17A(rs=0.405,P＜0.001),and IFN-γ(rs=0.146,P＜0.001)levels in two groups;no correlations were found between NIHSS scores and TNF-α(rs=0.039,P=0.726)and IL-10(rs=0.121,P=0.192)levels.NIHSS scores of the patients in two groups had negative correlatious with the serum level of LYM#(rs=-0.026,P=0.036)and LYM％(rs=-0.008,P=0.002),and had positive correlated with NLR(rs=0.315,P=0.009).Conclusion:The infarction area of the patients with actue cerebral infarction is correlated with the NIHSS score,the inflammatory response,the degree of adaptive immune injury,and the immune status.The have positive correlation with cytokines and immune markers and the overall size of the infarction area.Compared with the patients with non-large-acea cerebral infarction,the immunosuppression of the patients with large-area infarcted areas is more likely to occure.

Objective To determine the correlation between single-nucleotide polymorphisms of IL-17 with type 2 diabetes in Han population in southeastern Shanxi Provincein.Methods The basic information and related clinical data of the subjects were collected of normal healthy controls and T2DM.Whole blood DNA was extracted,and IL-17 polymorphisms(rs2275913,rs3819024,rs4711998 and rs8193036)were analyzed by using a polymerase chain reaction-high temperature ligase reaction.Results There was no significant difference in the genotype and allele frequency distribution of the four SNP loci of IL-17 gene between the two groups(P>0.05).IL-17 polymorphism was not linked with T2DM in multiple genetic models after controlling for age,BMI,WC,and dyslipidemia(P>0.05).Further analysis showed that the levels of AA genotype was substantially lower of FPG and HOMA-IR levels when compared with the AG and GG genotypes,and the differences among the three groups were statistically significant(P<0.05).However,BMI,FINS,HbA1c and HOMA-βwas no statistical significance among the three groups(P>0.05).Besides,WC and HOMA-IR of AA genotype(rs3819024)were notable higher than those of GG genotype in T2DM group(P<0.05).Conclusions The IL-17 gene polymorphisms rs2275913,rs3819024,rs4711998,and rs8193036 in the Han population of southeast Shanxi Province may not be associated with T2DM.In this region Han T2DM patients,AA genotype at rs2275913 of the IL-17 gene is associ-ated to FPG and HOMA-IR,while GG genotype at rs3819024 is related to WC and HOMA-IR,which could be the potential genotype of IL-17 impacting glucose metabolism.