Objective:To explore the effect of sleep deprivation on hair growth cycle in mice.Methods:Seventy-two adult C57BL/6J mice were randomly divided into a control group of 36 mice and an experimental group of 36 mice using a lottery method. After hair removal, in the control the group the mice were subjected to routine feeding in a horizontal platform environment for 16 hours per day, while in the experimental group the mice were subjected to sleep deprivation using an improved water platform for 16 hours per day. On the 1st, 9th, and 19th day after the experiment, the skin tissue from the hair removal area of the two groups of mice was taken for HE staining. Then the mouse hair was staged and scored by observing hair follicle morphology under an optical microscope. The cycle and score of the hair was started from the telogen, which was set as 0 points; the anagen Ⅰ to V were set as 1-5 points; the anagen Ⅵ and catagen Ⅰ were set as 6 points; the catagen Ⅱ to Ⅷ were set at 7-13 points. Statistical analysis was conducted by SPSS 26.0. The hair cycle score was expressed as Mean±SD. Student’s t-test was used for comparison between groups at the same time point, and Welch-test was used for comparison of scores at different time points within the group. P<0.05 indicated a statistically significant difference. Results:On the 1st, 9th, and 19th day, the hair cycle scores of the control group were 1.00 ± 0.57, 5.04 ± 0.94, and 9.52 ± 0.87 points, while the hair cycle scores of the experimental group were 0.85 ± 0.62, 2.40 ± 0.50 and 6.08 ± 0.42 points. Inter group comparison showed that the hair cycle scores of the experimental group were lower than those of the control group at all three time points. There was no statistically significant difference on the 1st day ( t=1.03, P=0.307), while the differences were statistically significant on the 9th day ( t=13.38, P<0.001) and the 19th day ( t=16.41, P<0.001). Intragroup comparison showed that there was a statistically significant difference in hair cycle scores between the control group and the experimental group at different time points( P<0.01), and the scores increased over time. Conclusion:Sleep deprivation can cause a lag in the hair growth cycle of mice, but it does not cause a cessation of the hair growth cycle. The degree of lag gradually increases with the number of deprivation days.

Objective:To investigate the effect and mechanism of type ⅩⅦ collagen (COL17) on hair growth in mice with androgenetic alopecia (AGA).Methods:Forty-eight C57BL/6J mice were used to establish AGA model (the back hair of the mice was removed and dihydrotestosterone solution was applied) and divided into 6 groups of 8 mice each by random number table. Negative control group, injection of saline in the depilated area (single point injection of 0.05 ml, 5 points in total); positive control group, topical application of 5% minoxidil tincture in the depilated area, 1 ml/d; COL17 low, medium and high concentration groups, injection of 0.5, 1.0 and 2.0 mg/ml COL17 in the depilated area respectively (single point injection of 0.05 ml, 5 points in total); type Ⅲ and ⅩⅦ collagen (COL3+ COL17) combined high concentration group, injection of 2.0 mg/ml COL3 and COL17 in the depilated area (single point injection of 0.05 ml, 5 points in total). The total treatment time was 21 days, during which the hair growth of mice in each group was observed and recorded. After 21 days, the skin and subcutaneous tissue in the depilated area of the mice were taken to make pathological sections for HE staining, and the number and morphological changes of hair follicles were observed; fresh skin tissue in the depilated area of the mice was taken for total RNA sequencing analysis, and the differentially co-expressed genes were annotated by gene ontology (GO) functional annotation, Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis and gene set enrichment analysis (GSEA).Results:After 21 days of treatment, compared with the negative control group, the depilation area on the back of the mice in the positive control group, COL17 high concentration group, and COL3+ COL17 combined high concentration group was significantly reduced, and HE staining showed that the number of hair follicles was also significantly increased. Pearson correlation analysis, principal component analysis and cluster heat map between groups showed that COL17 high concentration group had high gene correlation with the positive control group ( R2=0.95, P=0.024), and the gene expression was relatively close, with 3 882 differentially expressed genes (1 705 up-regulated and 2 177 down-regulated) in the two groups, while COL3+ COL17 combined high concentration group had the highest gene correlation with the positive control group ( R2=0.96, P=0.001), and the gene expression was the closest, with 1 289 differentially expressed genes (385 up-regulated and 904 down-regulated). KEGG analysis showed that compared with the negative control group, the positive control group, COL17 high concentration group and COL3+ COL17 combined high concentration group of mice all upregulated Wnt signaling pathway, cell adhesion molecules and hedgehog signaling pathway related to hair growth. GO enrichment analysis suggested that COL17 high concentration group and COL3+ COL17 combined high concentration group had upregulated genes related to skin development and hair cycle. GSEA enrichment analysis found that COL17 high concentration group had upregulated genes related to fibroblast proliferation and interleukin-1 secretion, while COL3+ COL17 combined high concentration group had upregulated genes related to fibroblast migration, clearance of apoptotic cells and accelerated metabolism of reactive oxygen species. Conclusion:Local injection of 2.0 mg/ml COL17 has a certain promoting effect on hair growth in AGA model mice, and the effect is more significant after combined injection of 2.0 mg/ml COL3. Activation of Wnt signaling pathway is one of the main mechanisms of COL17 promoting hair growth.

Objective:To explore the effect of sleep deprivation on hair growth cycle in mice.Methods:Seventy-two adult C57BL/6J mice were randomly divided into a control group of 36 mice and an experimental group of 36 mice using a lottery method. After hair removal, in the control the group the mice were subjected to routine feeding in a horizontal platform environment for 16 hours per day, while in the experimental group the mice were subjected to sleep deprivation using an improved water platform for 16 hours per day. On the 1st, 9th, and 19th day after the experiment, the skin tissue from the hair removal area of the two groups of mice was taken for HE staining. Then the mouse hair was staged and scored by observing hair follicle morphology under an optical microscope. The cycle and score of the hair was started from the telogen, which was set as 0 points; the anagen Ⅰ to V were set as 1-5 points; the anagen Ⅵ and catagen Ⅰ were set as 6 points; the catagen Ⅱ to Ⅷ were set at 7-13 points. Statistical analysis was conducted by SPSS 26.0. The hair cycle score was expressed as Mean±SD. Student’s t-test was used for comparison between groups at the same time point, and Welch-test was used for comparison of scores at different time points within the group. P<0.05 indicated a statistically significant difference. Results:On the 1st, 9th, and 19th day, the hair cycle scores of the control group were 1.00 ± 0.57, 5.04 ± 0.94, and 9.52 ± 0.87 points, while the hair cycle scores of the experimental group were 0.85 ± 0.62, 2.40 ± 0.50 and 6.08 ± 0.42 points. Inter group comparison showed that the hair cycle scores of the experimental group were lower than those of the control group at all three time points. There was no statistically significant difference on the 1st day ( t=1.03, P=0.307), while the differences were statistically significant on the 9th day ( t=13.38, P<0.001) and the 19th day ( t=16.41, P<0.001). Intragroup comparison showed that there was a statistically significant difference in hair cycle scores between the control group and the experimental group at different time points( P<0.01), and the scores increased over time. Conclusion:Sleep deprivation can cause a lag in the hair growth cycle of mice, but it does not cause a cessation of the hair growth cycle. The degree of lag gradually increases with the number of deprivation days.

Objective:To investigate the effect and mechanism of type ⅩⅦ collagen (COL17) on hair growth in mice with androgenetic alopecia (AGA).Methods:Forty-eight C57BL/6J mice were used to establish AGA model (the back hair of the mice was removed and dihydrotestosterone solution was applied) and divided into 6 groups of 8 mice each by random number table. Negative control group, injection of saline in the depilated area (single point injection of 0.05 ml, 5 points in total); positive control group, topical application of 5% minoxidil tincture in the depilated area, 1 ml/d; COL17 low, medium and high concentration groups, injection of 0.5, 1.0 and 2.0 mg/ml COL17 in the depilated area respectively (single point injection of 0.05 ml, 5 points in total); type Ⅲ and ⅩⅦ collagen (COL3+ COL17) combined high concentration group, injection of 2.0 mg/ml COL3 and COL17 in the depilated area (single point injection of 0.05 ml, 5 points in total). The total treatment time was 21 days, during which the hair growth of mice in each group was observed and recorded. After 21 days, the skin and subcutaneous tissue in the depilated area of the mice were taken to make pathological sections for HE staining, and the number and morphological changes of hair follicles were observed; fresh skin tissue in the depilated area of the mice was taken for total RNA sequencing analysis, and the differentially co-expressed genes were annotated by gene ontology (GO) functional annotation, Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis and gene set enrichment analysis (GSEA).Results:After 21 days of treatment, compared with the negative control group, the depilation area on the back of the mice in the positive control group, COL17 high concentration group, and COL3+ COL17 combined high concentration group was significantly reduced, and HE staining showed that the number of hair follicles was also significantly increased. Pearson correlation analysis, principal component analysis and cluster heat map between groups showed that COL17 high concentration group had high gene correlation with the positive control group ( R2=0.95, P=0.024), and the gene expression was relatively close, with 3 882 differentially expressed genes (1 705 up-regulated and 2 177 down-regulated) in the two groups, while COL3+ COL17 combined high concentration group had the highest gene correlation with the positive control group ( R2=0.96, P=0.001), and the gene expression was the closest, with 1 289 differentially expressed genes (385 up-regulated and 904 down-regulated). KEGG analysis showed that compared with the negative control group, the positive control group, COL17 high concentration group and COL3+ COL17 combined high concentration group of mice all upregulated Wnt signaling pathway, cell adhesion molecules and hedgehog signaling pathway related to hair growth. GO enrichment analysis suggested that COL17 high concentration group and COL3+ COL17 combined high concentration group had upregulated genes related to skin development and hair cycle. GSEA enrichment analysis found that COL17 high concentration group had upregulated genes related to fibroblast proliferation and interleukin-1 secretion, while COL3+ COL17 combined high concentration group had upregulated genes related to fibroblast migration, clearance of apoptotic cells and accelerated metabolism of reactive oxygen species. Conclusion:Local injection of 2.0 mg/ml COL17 has a certain promoting effect on hair growth in AGA model mice, and the effect is more significant after combined injection of 2.0 mg/ml COL3. Activation of Wnt signaling pathway is one of the main mechanisms of COL17 promoting hair growth.

Objective To analyze cognition,attitude,behavior status and influencing factor of neurological nurses for early rehabilitation of stroke.Methods A tatol of 182 neurological nurses from 8 tertiary hospitals in Urumqi were selected as the research subjects to investigate the cognition,attitude from December 2022 to June 2023,and behavior status of neurology nurses for early rehabilitation of stroke and analyze their influencing factors.Results The scores of 182 neurological nurses during early rehabilitation of stroke were(72.57士6.79),the scoring rate was 72.57％,which was in the middle level.The average score of attitude was(89.62±2.94),and the scoring rate was 89.62％,which was at a high level.The average score of behavior was(62.08±21.50),and the scoring rate was 62.08％,which was in the middle level.Multivariate regression analysis showed that age was the influence factor of nurses'early rehabilitation cognition dimension and attitude dimension(P＜0.05);The influence factors of nurses'early rehabilitation behavior were their professional title and whether stroke had occurred among relatives and friends(P＜0.05).Conclusion Neurological nurses have a positive attitude towards early rehabilitation of stroke,but they do not implement nursing measures enough.It is suggested that rehabilitation nursing training courses should be set up to encourage nurses to update their knowledge and strengthen their self-learning so as to improve nursing behavior and improve nursing quality.

Objective:To explore the applicability of the distance between facial marks classification in evaluating the severity of androgenic alopecia in men.Methods:From June to December 2019, the male Chinese with diagnosis of androgenic alopecia were evaluated in the specific clinic of alopecia of Hangzhou First People’s Hospital according to the distance between facial marks and BASP(basic and specific) classification. The classification based on the distance between facial marks measures the distance from the facial marks of the anterior hairline to the horizontal line of the eyebrow and the longest radius of hair loss in the hair rotation center, the hair recession of the patient’s forehead (F), temporal (M) and vertex (V) parts. The hair loss in each region is rated as 0-3 grade from light to heavy, and the final hair loss grading is expressed as FnMnVn, such as F1M2V0. The highest grade of hair loss in F, M and V is the overall grade of hair loss. SPSS 25.0 software was used to statistically analyze the general data of patients, and Kappa test was used to evaluate the consistency between the results of the distance classification and BASP classification. The repeatability of the distance classification was tested by the repetition rate of three hair loss specialists. When two or more specialists gave the same evaluation among the three hair loss specialists, the result was regarded as the standard result. The ease of use of the distance between facial marks classification was tested by the consistency rate between the grading results of two temporary trained general doctors and the standard results.Results:A total of 150 male patients, aged (32.8±7.9) years (19-58 years), were included, of which 99 patients were 24-35 years old, accounting for 66.00%. It can be observed that the onset age was earlier. As assessed in this classification, the patients who participated in the study were graded as mild in 65 cases(43.33%), severe in 58 cases(38.67%), and moderate, which was consistency with the results obtained by BASP classification ( κ=0.573, P<0.001). Three experienced alopecia specialists evaluated 150 patients through the distance between facial marks. The results showed that the repetition rates of frontal, temporal and parietal classification results were 98.00%(147/150), 97.33%(146/150) and 96.00%(144/150), respectively. The repetition rate of the final alopecia classification was 92.00%(138/150), and the repetition rate of the overall alopecia classification was 98.00%(147/150). The consistency rate between the overall alopecia classification results of two temporary trained general doctors and the standard results was 95.92%(141/147) and 96.60%(142/147), respectively, and the consistency rate of the other results was higher than 90.00% except for one general doctor who was 89.86%(124/138) in the final classification. Conclusion:The distance between facial marks classification is a comparatively accurate and easy-to-learn grading method designed for Chinese male androgenic hair loss patients based on objective measurement data.

Objective:To explore the applicability of the distance between facial marks classification in evaluating the severity of androgenic alopecia in men.Methods:From June to December 2019, the male Chinese with diagnosis of androgenic alopecia were evaluated in the specific clinic of alopecia of Hangzhou First People’s Hospital according to the distance between facial marks and BASP(basic and specific) classification. The classification based on the distance between facial marks measures the distance from the facial marks of the anterior hairline to the horizontal line of the eyebrow and the longest radius of hair loss in the hair rotation center, the hair recession of the patient’s forehead (F), temporal (M) and vertex (V) parts. The hair loss in each region is rated as 0-3 grade from light to heavy, and the final hair loss grading is expressed as FnMnVn, such as F1M2V0. The highest grade of hair loss in F, M and V is the overall grade of hair loss. SPSS 25.0 software was used to statistically analyze the general data of patients, and Kappa test was used to evaluate the consistency between the results of the distance classification and BASP classification. The repeatability of the distance classification was tested by the repetition rate of three hair loss specialists. When two or more specialists gave the same evaluation among the three hair loss specialists, the result was regarded as the standard result. The ease of use of the distance between facial marks classification was tested by the consistency rate between the grading results of two temporary trained general doctors and the standard results.Results:A total of 150 male patients, aged (32.8±7.9) years (19-58 years), were included, of which 99 patients were 24-35 years old, accounting for 66.00%. It can be observed that the onset age was earlier. As assessed in this classification, the patients who participated in the study were graded as mild in 65 cases(43.33%), severe in 58 cases(38.67%), and moderate, which was consistency with the results obtained by BASP classification ( κ=0.573, P<0.001). Three experienced alopecia specialists evaluated 150 patients through the distance between facial marks. The results showed that the repetition rates of frontal, temporal and parietal classification results were 98.00%(147/150), 97.33%(146/150) and 96.00%(144/150), respectively. The repetition rate of the final alopecia classification was 92.00%(138/150), and the repetition rate of the overall alopecia classification was 98.00%(147/150). The consistency rate between the overall alopecia classification results of two temporary trained general doctors and the standard results was 95.92%(141/147) and 96.60%(142/147), respectively, and the consistency rate of the other results was higher than 90.00% except for one general doctor who was 89.86%(124/138) in the final classification. Conclusion:The distance between facial marks classification is a comparatively accurate and easy-to-learn grading method designed for Chinese male androgenic hair loss patients based on objective measurement data.

Objective:To evaluate the efficacy and safety of nonsurgical methods in early postnatal correction of congenital auricle malformation.Methods:The clinical trials regarding non-surgical treatment for congenital ear deformity published before May 2021 were searched in databases of Cochrane Library, PubMed, Medline, CNKI, VIP and Wanfang. The information of included studies was extracted. The Meta-analysis was performed by using RevMan 5.3 software.Results:A total of 15 trials were included, involving 1 349 patients. The Meta-analysis results showed that the effect of the group <6 weeks was better than the group over 6 weeks ( OR=4.67, 95% CI: 3.21, 6.78, Z=8.09, P<0.001); The complications incidence of the group < 6 weeks was lower than the group over 6 weeks ( OR=0.27, 95% CI: 0.08, 0.88, Z=2.18, P=0.03); The correction time required of the group <6 weeks was shorter than the group over 6 weeks ( MD=-11.81, 95% CI: -18.36, -5.26, Z=3.54, P=0.001). Conclusions:Non-surgical correction of congenital ear malformation within 6 weeks after birth has better efficacy and safety.

Objective To evaluate the value of chromosomal microarray analysis (CMA) for genetic evaluation of fetal ultrasound abnormality. Methods A total of 180 pregnant women with fetal abnormality detected by prenatal ultrasound diagnosis in the first trimester during the period from January 2020 through May 2022 were enrolled as the study subjects. All prenatal fetal screening samples were subjected to G-band karyotyping and CMA. Results G-band karyotyping detected normal karyotypes in 168 samples (93.85%) and abnormal karyotypes in 11 samples (6.15%), and CMA detected 17 positive samples (9.44%) and 163 negative samples (90.56%). The seventeen positive samples included 11 pathogenic copy number variations (CNVs) and 6 variants of unknown significance (VOUS), and there were 11 CMA-positive results consistent with G-band karyotyping, and 6 additional pathogenic CNVs mainly included microdeletion and microduplication syndromes. The detection rates of pathogenic CNVs were 11.11%, 2.63%, 2.78%, 4.00%, 0, 0, 11.11% and 0 among the fetuses with abnormal structure of the cardiovascular system, the lymphatic system, the nervous system, the digestive system, the cranial and face system, the skeletal system, the urinary system, and other system (χ² =8.188, P = 0.316). All eleven fetuses with pathogenic CNVs detected by CMA were all induced for abortion. Conclusion CMA improves the detection of genetic abnormality among fetuses with ultrasound abnormality in relative to G-band karyotyping, which is feasible for prenatal cytogenetic diagnosis among fetuses with ultrasound abnormality

Background::Non-smokers account for a large proportion of lung cancer patients, especially in Asia, but the attention paid to them is limited compared with smokers. In non-smokers, males display a risk for lung cancer incidence distinct from the females—even after excluding the influence of smoking; but the knowledge regarding the factors causing the difference is sparse. Based on a large multicenter prospective cancer screening cohort in China, we aimed to elucidate the interpretable sex differences caused by known factors and provide clues for primary and secondary prevention.Methods::Risk factors including demographic characteristics, lifestyle factors, family history of cancer, and baseline comorbidity were obtained from 796,283 Chinese non-smoking participants by the baseline risk assessment completed in 2013 to 2018. Cox regression analysis was performed to assess the sex difference in the risk of lung cancer, and the hazard ratios (HRs) that were adjusted for different known factors were calculated and compared to determine the proportion of excess risk and to explain the existing risk factors.Results::With a median follow-up of 4.80 years, 3351 subjects who were diagnosed with lung cancer were selected in the analysis. The lung cancer risk of males was significantly higher than that of females; the HRs in all male non-smokers were 1.29 (95% confidence interval [CI]: 1.20-1.38) after adjusting for the age and 1.38 (95% CI: 1.28-1.50) after adjusting for all factors, which suggested that known factors could not explain the sex difference in the risk of lung cancer in non-smokers. Known factors were 7% (|1.29-1.38|/1.29) more harmful in women than in men. For adenocarcinoma, women showed excess risk higher than men, contrary to squamous cell carcinoma; after adjusting for all factors, 47% ([1.30-1.16]/[1.30-1]) and 4% ([7.02-6.75]/[7.02-1])) of the excess risk was explainable in adenocarcinoma and squamous cell carcinoma. The main causes of gender differences in lung cancer risk were lifestyle factors, baseline comorbidity, and family history.Conclusions::Significant gender differences in the risk of lung cancer were discovered in China non-smokers. Existing risk factors did not explain the excess lung cancer risk of all non-smoking men, and the internal causes for the excess risk still need to be explored; most known risk factors were more harmful to non-smoking women; further exploring the causes of the sex difference would help to improve the prevention and screening programs and protect the non-smoking males from lung cancers.