[The accuracy and influencing factors of sleep staging based on single-channel EEG via a deep neural network].

Objective: To investigate theaccuracy of artificial intelligence sleep staging model in patients with habitual snoring and obstructive sleep apnea hypopnea syndrome (OSAHS) based on single-channel EEG collected from different locations of the head. Methods: The clinical data of 114 adults with habitual snoring and OSAHS who visited to the Sleep Medicine Center of Beijing Tongren Hospital from September 2020 to March of 2021 were analyzed retrospectively, including 93 males and 21 females, aging from 20 to 64 years old. Eighty-five adults with OSAHS and 29 subjects with habitual snoring were included. Sleep staging analysis was performed on the single lead EEG signals of different locations (FP2-M1, C4-M1, F3-M2, ROG-M1, O1-M2) using the deep learning segmentation model trained by previous data. Manual scoring results were used as the gold standard to analyze the consistency rate of results and the influence of different categories of disease. Results: EEG data in 124 747 30-second epochs were taken as the testing dataset. The model accuracy of distinguishing wake/sleep was 92.3%,92.6%,93.5%,89.2% and 83.0% respectively,based on EEG channel Fp2-M1, C4-M1, F3-M2, REOG-M1 or O1-M2. The mode accuracy of distinguishing wake/REM/NREM and wake/REM/N1-2/SWS , was 84.7% and 80.1% respectively based on channel Fp2-M1, which located in forehead skin. The AHI calculated based on total sleep time derived from the model and gold standard were 13.6[4.30,42.5] and 14.2[4.8,42.7], respectively (Z=-2.477, P=0.013), and the kappa coefficient was 0.977. Conclusions: The autonomic sleep staging via a deep neural network model based on forehead single-channel EEG (Fp2-M1) has a good consistency in the identification sleep stage in a population with habitual snoring and OSAHS with different categories. The AHI calculated based on this model has high consistency with manual scoring.

Psychometric precision in phenotype definition is a useful step in molecular genetic investigation of psychiatric disorders.

Affective disorders are highly heritable, but few genetic risk variants have been consistently replicated in molecular genetic association studies. The common method of defining psychiatric phenotypes in molecular genetic research is either a summation of symptom scores or binary threshold score representing the risk of diagnosis. Psychometric latent variable methods can improve the precision of psychiatric phenotypes, especially when the data structure is not straightforward. Using data from the British 1946 birth cohort, we compared summary scores with psychometric modeling based on the General Health Questionnaire (GHQ-28) scale for affective symptoms in an association analysis of 27 candidate genes (249 single-nucleotide polymorphisms (SNPs)). The psychometric method utilized a bi-factor model that partitioned the phenotype variances into five orthogonal latent variable factors, in accordance with the multidimensional data structure of the GHQ-28 involving somatic, social, anxiety and depression domains. Results showed that, compared with the summation approach, the affective symptoms defined by the bi-factor psychometric model had a higher number of associated SNPs of larger effect sizes. These results suggest that psychometrically defined mental health phenotypes can reflect the dimensions of complex phenotypes better than summation scores, and therefore offer a useful approach in genetic association investigations.

Lifetime affect and midlife cognitive function: prospective birth cohort study.

BACKGROUND: Recurrent affective problems are predictive of cognitive impairment, but the timing and directionality, and the nature of the cognitive impairment, are unclear. AIMS: To test prospective associations between life-course affective symptoms and cognitive function in late middle age. METHOD: A total of 1668 men and women were drawn from the Medical Research Council National Survey of Health and Development (the British 1946 birth cohort). Longitudinal affective symptoms spanning age 13-53 years served as predictors; outcomes consisted of self-reported memory problems at 60-64 years and decline in memory and information processing from age 53 to 60-64 years. RESULTS: Regression analyses revealed no clear pattern of association between longitudinal affective symptoms and decline in cognitive test scores, after adjusting for gender, childhood cognitive ability, education and midlife socioeconomic status. In contrast, affective symptoms were strongly, diffusely and independently associated with self-reported memory problems. CONCLUSIONS: Affective symptoms are more clearly associated with self-reported memory problems in late midlife than with objectively measured cognitive performance.

Anti-tumor activity and immunogenicity of a mutated staphylococcal enterotoxin C2.

In this study, a novel SEC2 mutant with lower toxic activity, named 2M-118 (H118A/T20L/G22E), was engineered by site-directed mutagenesis of structural domains that are responsible for MHC class II molecule binding and TCR binding, respectively. Stimulating activity on murine splenocytes, anti-tumor effect and immunogenicity of 2M-118 were investigated in BALB/c mice. 2M-118 not only remained splenocyte stimulation activity, but also effectively inhibited the growth of S180 sarcoma in the BALB/c mice. Even though antibodies to 2M-118 could be induced after repeated administration, the action of 2M-118 was hardly neutralized or cross neutralized. Like other superantigens, immunosuppression could happen when 2M-118 was given at a greater dose. In conclusion, 2M-118 is a promising anti-tumor drug candidate for its acceptable toxicity and satisfying anti-tumour efficacy.

Geographic dimorphism of the wild silkworm, Bombyx mandarina, in the chromosome number and the occurrence of a retroposon-like insertion in the arylphorin gene.

Individuals of the wild silkworm, Bombyx mandarina, collected in South Korea (Taegu City) and Japan (Tsushima Islands and Fukuoka City) had the chromosome number of 2n = 54, while those collected in China (Hangzhou City) had the chromosome number of 2n = 56. Analysis by PCR (polymerase chain reaction) showed that the 66-bp-long retroposon-like insertion known in the arylphorin gene was present in the B. mandarina specimens with 2n = 54, but not in those with 2n = 56. Thus, dimorphism in the chromosome number coincided with the occurrence of the insertion. It is likely that the boundary dividing the two geographic B. mandarina populations lies somewhere in the northern part of the Korean Peninsula.