Objective:To compare the surface electromyography characteristics of essential tremor (ET), Parkinson′s disease (PD) and essential tremor-Parkinson′s disease syndrome (ET-PD).Methods:A total of 74 patients [ET group ( n=23), PD group ( n=30), and ET-PD group ( n=21)] admitted to the Parkinson′s and Movement Disorders Center of the Department of Neurology of Xuanwu Hospital from August 2020 to December 2023 were enrolled, and results of their bilateral upper limbs surface electromyography (sEMG) were collected. sEMG activities were analyzed offline. Power spectral analysis was performed to explore the sEMG activities. One-way analysis of variance and chi-square test were used to compare the differences of electrophysiological parameters. Results:For the ET group characterized by postural tremor, the frequency was (6.06±0.68) Hz, the amplitude was (1 200.91±360.69) μV, the proportion of alternating contractions was 30.4% (7/23), and the proportion of harmonic resonances was 34.8% (8/23). For the PD group characterized by rest tremor, the frequency was (4.81±0.61) Hz, the amplitude was (1 057.40±354.52) μV, the proportion of alternating contractions was 73.3% (22/30), and the proportion of harmonic resonances was 70.0% (21/30). For the ET-PD group in rest and postural state respectively, the frequencies were (5.04±0.44) Hz and (5.80±0.47) Hz, the amplitudes were (1 026.05±191.90) μV and (1 196.67±212.12) μV, the proportions of alternating contractions were 52.4% (11/21) and 38.1% (8/21), and the proportions of harmonic resonances were 52.4% (11/21) and 33.3% (7/21). Analysis of variance revealed that tremor frequencies for the PD group and the ET-PD group in rest state were lower than the ET group and the ET-PD group in postural state ( F=27.439, P<0.001). The proportion of alternating contractions for the PD group was higher than the ET group ( χ 2=9.669, P=0.002) and the ET-PD group in postural state ( χ 2=6.333, P=0.012). The proportion of harmonic resonances for the PD group was higher than the ET group ( χ 2=6.517, P=0.011) and the ET-PD group in postural state ( χ 2=6.708, P=0.010). No statistically significant differences were found for tremor amplitudes among all the groups ( F=2.143, P=0.100). Conclusions:ET is characterized by postural tremors, with a higher frequency and a lower alternating contractions and harmonic resonances. PD is characterized by rest tremors, with a lower frequency and a higher alternating contractions and harmonic resonances. The parameters of ET-PD are between ET and PD, which provide objective evidences for differential diagnosis of tremors.

Objective:To compare the surface electromyography characteristics of essential tremor (ET), Parkinson′s disease (PD) and essential tremor-Parkinson′s disease syndrome (ET-PD).Methods:A total of 74 patients [ET group ( n=23), PD group ( n=30), and ET-PD group ( n=21)] admitted to the Parkinson′s and Movement Disorders Center of the Department of Neurology of Xuanwu Hospital from August 2020 to December 2023 were enrolled, and results of their bilateral upper limbs surface electromyography (sEMG) were collected. sEMG activities were analyzed offline. Power spectral analysis was performed to explore the sEMG activities. One-way analysis of variance and chi-square test were used to compare the differences of electrophysiological parameters. Results:For the ET group characterized by postural tremor, the frequency was (6.06±0.68) Hz, the amplitude was (1 200.91±360.69) μV, the proportion of alternating contractions was 30.4% (7/23), and the proportion of harmonic resonances was 34.8% (8/23). For the PD group characterized by rest tremor, the frequency was (4.81±0.61) Hz, the amplitude was (1 057.40±354.52) μV, the proportion of alternating contractions was 73.3% (22/30), and the proportion of harmonic resonances was 70.0% (21/30). For the ET-PD group in rest and postural state respectively, the frequencies were (5.04±0.44) Hz and (5.80±0.47) Hz, the amplitudes were (1 026.05±191.90) μV and (1 196.67±212.12) μV, the proportions of alternating contractions were 52.4% (11/21) and 38.1% (8/21), and the proportions of harmonic resonances were 52.4% (11/21) and 33.3% (7/21). Analysis of variance revealed that tremor frequencies for the PD group and the ET-PD group in rest state were lower than the ET group and the ET-PD group in postural state ( F=27.439, P<0.001). The proportion of alternating contractions for the PD group was higher than the ET group ( χ 2=9.669, P=0.002) and the ET-PD group in postural state ( χ 2=6.333, P=0.012). The proportion of harmonic resonances for the PD group was higher than the ET group ( χ 2=6.517, P=0.011) and the ET-PD group in postural state ( χ 2=6.708, P=0.010). No statistically significant differences were found for tremor amplitudes among all the groups ( F=2.143, P=0.100). Conclusions:ET is characterized by postural tremors, with a higher frequency and a lower alternating contractions and harmonic resonances. PD is characterized by rest tremors, with a lower frequency and a higher alternating contractions and harmonic resonances. The parameters of ET-PD are between ET and PD, which provide objective evidences for differential diagnosis of tremors.

OBJECTIVETo analyze the dysregulated genes among the differentially expressed genes in 41 nasopharyngeal biopsy samples and identify their protective transcriptional factors.

METHODSThe differentially expressed gene profiles were obtained by analyzing both types I and II nasopharyngeal carcinoma (NPC_I and NPC_II, respectively) using EXCEL and Bioinformatics tools. The transcriptional factors were further studied only when (1) the difference in the binding sites of the differentially expressed genes between NPC_I and NPC_II groups was statistically significant, (2) the expressions of the transcription factors were correlated with the gene expressions in the samples, and (3) the transcription factors affected at least 40% of the expression of the related genes.

RESULTSIn NPC_I samples, 80 transcription factors were found to be up-regulated, in which RUNX3, GATA3, NR3C1, NRF1, RXRA, SMAD7, TBP, and ZBTB6 were positive factors and HLF and MTF1 were negative factors, involved in the regulation of the genes in T cell receptor signaling pathway. No eligible transcription factors were found in association with down-regulated genes in NPC_I compared to NPC_II gene expression profiles.

CONCLUSIONSThe over-expressed genes in NPC_I are mainly related to immune responses, and we found 8 positive factors and 2 negative factors that regulate the genes in T cell receptor signaling pathway. The 10 transcription factors may serve as potential therapeutic targets for NPC_I. We failed to identify any transcription factors associated with down-regulated genes in NPC_I relative to NPC_II possibly as a result of multiple factors that affect the differential gene expressions in NPC_II including the transcription factors, DNA phosphorylation and modification, chromosome variation and environmental factors.

Carcinoma ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Nasopharyngeal Neoplasms ; classification ; genetics ; metabolism ; pathology ; Receptors, Antigen, T-Cell ; genetics ; metabolism ; Signal Transduction ; Transcription Factors ; genetics ; metabolism

Objective To analyze the dysregulated genes among the differentially expressed genes in 41 nasopharyngeal biopsy samples and identify their protective transcriptional factors. Methods The differentially expressed gene profiles were obtained by analyzing both types I and II nasopharyngeal carcinoma (NPC_I and NPC_II, respectively) using EXcelland Bioinformatics tools. The transcriptional factors were further studied only when (1) the difference in the binding sites of the differentially expressed genes between NPC_I and NPC_II groups was statistically significant, (2) the expressions of the transcription factors were correlated with the gene expressions in the samples, and (3) the transcription factors affected at least 40%of the expression of the related genes. Results In NPC_I samples, 80 transcription factors were found to be up-regulated, in which RUNX3, GATA3, NR3C1, NRF1, RXRA, SMAD7, TBP, and ZBTB6 were positive factors and HLF and MTF1 were negative factors, involved in the regulation of the genes in T cell receptor signaling pathway. No eligible transcription factors were found in association with down-regulated genes in NPC_I compared to NPC_II gene expression profiles. Conclusions The over-expressed genes in NPC_I are mainly related to immune responses, and we found 8 positive factors and 2 negative factors that regulate the genes in T cell receptor signaling pathway. The 10 transcription factors may serve as potential therapeutic targets for NPC_I. We failed to identify any transcription factors associated with down-regulated genes in NPC_I relative to NPC_II possibly as a result of multiple factors that affect the differential gene expressions in NPC_II including the transcription factors, DNA phosphorylation and modification, chromosome variation and environmental factors.

Objective To analyze the dysregulated genes among the differentially expressed genes in 41 nasopharyngeal biopsy samples and identify their protective transcriptional factors. Methods The differentially expressed gene profiles were obtained by analyzing both types I and II nasopharyngeal carcinoma (NPC_I and NPC_II, respectively) using EXcelland Bioinformatics tools. The transcriptional factors were further studied only when (1) the difference in the binding sites of the differentially expressed genes between NPC_I and NPC_II groups was statistically significant, (2) the expressions of the transcription factors were correlated with the gene expressions in the samples, and (3) the transcription factors affected at least 40%of the expression of the related genes. Results In NPC_I samples, 80 transcription factors were found to be up-regulated, in which RUNX3, GATA3, NR3C1, NRF1, RXRA, SMAD7, TBP, and ZBTB6 were positive factors and HLF and MTF1 were negative factors, involved in the regulation of the genes in T cell receptor signaling pathway. No eligible transcription factors were found in association with down-regulated genes in NPC_I compared to NPC_II gene expression profiles. Conclusions The over-expressed genes in NPC_I are mainly related to immune responses, and we found 8 positive factors and 2 negative factors that regulate the genes in T cell receptor signaling pathway. The 10 transcription factors may serve as potential therapeutic targets for NPC_I. We failed to identify any transcription factors associated with down-regulated genes in NPC_I relative to NPC_II possibly as a result of multiple factors that affect the differential gene expressions in NPC_II including the transcription factors, DNA phosphorylation and modification, chromosome variation and environmental factors.

Objective To evaluate the efficacy of eszopiclone for patients with acute insomnia and the impact of premedication with eszopiclone on sleep structure of patients with acute insomnia.Methods In an open-label,self-control trial was conducted at Changzheng Hospital Sleep Centers,and patients (n =32) with acute insomnia (12 men,20 women; mean age,36.2 years) were administered eszopiclone 3 mg for three consecutive nights.Sleep was monitored via polysomnography.The insomnia severity index (ISI),and mini-mental state examination (MMSE) were used to assess the degree of insomnia and impact of drugs on cognitive function during the day.Results Eszopiclone can shorten sleep latency ( before treatment:(52.92 ± 11.71 ) min,after treatment:(28.2 ± 10.11 ) min; t =-4.376,P ＜0.01 ),prolong total sleep time(before treatment:(365.22 ±30.13) min,after treatment:(429.18 ±26.93 ) min; t =4.102,P ＜ 0.01 ),decrease wake up times( before treatment:( 5.00 ± 1.92 ) times,after treatment:( 2.73 ± 0.91 )times; t =- 4.592,P ＜ 0.01 ),improve sleep efficiency ( before treatment:72.69％ ± 6.32％,after treatment:82.67％ ± 4.16％ ; t =3.371,P ＜ 0.01 ),reduce awake time ( before treatment:( 88.51 ±17.48) min,after treatment:(65.93 ±21.l0)min; t =-4.592,P ＜0.01 ),decrease light sleep ( NREM1 period) the percentage of time ( before treatment:12.54％ ± 2.10％,after treatment:7.30％ ± 2.90％ ;t=-3.155,P ＜ 0.01 ),and increase the percentage of slow wave sleep (before treatment:8.03％ ±5.37％,after treatment:9.31％ ±5.29％; t =4.228,P ＜0.01).No effect was observed on the percentage of NERM2 period (t =0.731,P ＞0.05) and REM period (t =-0.813,P ＞0.05).Eszopiclone can improve the quality of subjective assessment of sleep ( ISI score decreased,t =- 2.551,P ＜ 0.05) and has no significant effect on cognitive function on first the morning after patients taking the medication.Conclusion Eszopiclone can positively regulate the sleep structure in patients with acute insomnia and improve subjective assessment of sleep quality.It is safe and has no significant effect on cognitive function.