Objective: To examine the changing trajectories of sleep problems and teacher support among first year middle school students and their covariant relationship,so as to provide theoretical basis for the prevention strategy of sleep problems for the first year junior high school students. Methods: In September 2020, a multistage cluster random sampling method was used to select 1 027 first year junior high school students from two schools of Anshun and Guiyang cities in Guizhou Province for survey and follow up assessments (T1:September 2020, T2:October 2020, T3:November 2020, T4:December 2020). The Student Perceived Teacher Support Behavior Questionnaire and Pittsburgh Sleep Quality Index Scale were administered to assess sleep problems and teacher support among first year junior high school students. Spearman correlation analysis was used to examine the relationship between sleep problems and teacher support. A multivariate latent growth curve model was employed to analyze the changing trajectories and covariant relationship between teacher support and sleep problems, followed by a multi group analysis. Results: For first year junior high school students, teacher support scores at T1-T4 were 4.00 (3.47, 4.53), 4.00 (3.47, 4.58), 3.95 (3.47, 4.61) and 4.00 (3.48, 4.67), respectively; sleep problem scores were 0.83 (0.50, 1.17), 0.67 (0.50, 1.17), 0.83 (0.50, 1.17) and 0.67 (0.33, 1.17), respectively. Spearman correlation analysis revealed that teacher support and sleep problems were negatively correlated across all four period ( r =-0.28 to -0.14, all P <0.01). Teacher support perceived by students showed a linear increasing trend (intercept=3.98, slope=0.02), while sleep problems showed a linear decreasing trend (intercept=0.86, slope= -0.02 ) (all P <0.05). The multivariate latent growth model indicated that the rate of increase in teacher support after enrollment effectively predicted the rate of decrease in sleep problem levels ( β=-0.34, P <0.01). Multigroup analysis showed that the covariant relationship was not moderated by gender or boarding status (both P >0.05). Conclusions The increase in teacher support experienced by first year junior high school students during the transition period after enrollment, accompanied by a reduction in sleep problems, constitutes a dynamic protective process. The process is not moderated by gender or boarding status.

Objective: To explore the network structure of anxiety and depressive symptoms, and psychotic like experiences in junior and senior high school students with different sleep qualities, and to provide a reference for improving sleep quality in the population. Methods: A cross sectional online survey was conducted among 22 997 junior and senior high school students from seven junior and senior high schools in Luzhou City, Sichuan Province, using convenience sampling. The Pittsburgh Sleep Quality Index (PSQI), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and the 16item Prodromal Questionnaire (PQ-16) were administered. Independent sample t-test was used to compare mental health status between adolescents with and without sleep problems. Network analysis was applied to examine the symptom association patterns across gender and school stage subgroups. Results: The prevalence of sleep problems among junior and senior high school students was 22.58%. The total anxiety symptom score (8.92± 4.02 ), total depressive symptom score (13.35±5.66), and scores for each factor of PQ-16 (perceptual and sensory abnormalities, thinking abnormalities, negative symptoms, and specific perceptual and sensory abnormalities) (3.32±3.32, 2.08±2.36, 3.36± 2.74 , 1.44±1.86) in the group with sleep problems were all significantly higher than those in the group without sleep problems ( 3.43 ±3.33, 5.03±4.73; 0.63±1.52, 0.47±1.11, 0.77±1.48, 0.25±0.79), with statistically significant differences ( t =99.60, 106.54, 82.49, 68.51, 89.09, 67.30, all P <0.01). In females with sleep problems, the anxiety-depressive symptoms edge weight was the highest (0.44). In males with sleep problems, the "sleep latency-sleep efficiency" edge weight was the highest (0.43), and the strength centrality values of "perceptual abnormalities" "medication factor" and "sleep latency" ranked the higher (1.32, 1.31 and 1.25). The network connectivity strength of the sleep problem group was higher in senior high school students than in junior high school students, and the strength centrality (1.12) and betweenness centrality (0.12) of negative symptoms were higher than those in junior high school students (1.02 and 0.11). Conclusions The network associations between sleep problems and psychological symptoms in junior and senior high school students exhibit gender and school stage specific characteristics. Differentiated intervention strategies should be tailored to specific subgroups.

Objective To evaluate the efficacy of the DrCloudme platform in follow-ups of intracranial aneurysm(IA)patients.Methods A randomized controlled trial was conducted with 120 IA patients treated at Hechi People's Hospital from July 2021 to June 2024.Participants were equally allocated via random number table method into two groups:The control group(n=60)received conventional telephone follow-up post interventional embolization,while the intervention group(n=60)uti-lized the DrCloudme platform for digital follow-up management.Outcome measures included medical compliance,social functio-ning(assessed by Social Disability Screening Schedule,SDSS),quality of life(evaluated using Quality of Life Instrument for Head and Neck Cancer,QLICP-HN),follow-up completion rates,and patient satisfaction.Results The observation group dem-onstrated significantly higher medical compliance,follow-up completion rate,and follow-up patient satisfaction compared to the control group(P＜0.05).Additionally,the observation group had lower SDSS scores and higher QLICP-HN scores,indicating better social function and quality of life(P＜0.05).Conclusion The DrCloudme platform can not only improve the follow-up completion rate for healthcare providers,but also enhance medical compliance,social functioning,and quality of life among dis-charged IA patients.Moreover,it significantly boosts patient satisfaction with follow-ups.

ObjectiveTo analyze the characteristic expression patterns of six neurotransmitters including 5-hydroxytryptamine （5-HT）， dopamine （DA）， acetylcholine （ACh）， norepinephrine （NE）， inhibitory neurotransmitter （INH）， and excitatory neurotransmitter （EXC） in the whole brain and different brain regions of depression patients by Search of Encephalo Telex （SET）， providing new ideas for the study of heterogeneous etiology of depression. Methods（1） A retrospective study was conducted on supra-slow signals of EEG fluctuations in 1 028 patients with depression. The SET system was used to obtain the expression information of six neurotransmitters in the whole brain and 12 brain regions： left frontal region （F3）， right frontal region （F4）， left central region （C3）， right central region （C4）， left parietal region （P3）， right parietal region （P4）， left occipital region （O1）， right occipital region （O2）， left anterior temporal region （F7）， right anterior temporal region （F8）， left posterior temporal region （T5）， and right posterior temporal region （T6）. The expression information of each neurotransmitter was compared with the normal model， and it was found that single neurotransmitter was in one of three states： increased， decreased， or normal expression. The simultaneous expression states of six neurotransmitters in the brain space were referred to as the expression pattern of multiple neurotransmitters. （2） A MySQL database was established to analyze the actual expression patterns of different neurotransmitters in the whole brain of patients with depression. （3） Factor analysis was conducted to further analyze the characteristic rules of 78 variables of neurotransmitters in the whole brain and 12 brain regions in depression patients. Results（1） The expression of single neurotransmitters in the whole brain and different brain regions of the total depression population showed one of three expression states （increased/decreased/normal）， being normal in the majority. The decreased and increased expression of 5-HT， ACh， DA， INH， EXC， and NE in the whole brain occurred in 6% and 25%， 31% and 17%， 36% and 9%， 15% and 31%， 32% and 14%， and 22% and 22%， respectively. （2） The antagonizing pairs of neurotransmitters （EXC/INH， DA/5-HT， and ACh/NE） showed significant antagonistic relationships in the whole brain and different brain regions， with a strong negative correlation between EXC and INH （P<0.01， |r| values ranging from 0.69 to 0.76）， a strong negative correlation between DA and 5-HT （P<0.01， |r| values ranging from 0.83 to 0.90）， and a moderate negative correlation between ACh and NE （P<0.01， with |r| values ranging from 0.56 to 0.66）. Meanwhile， non-antagonizing pairs of neurotransmitters in the whole brain and different brain regions also showed correlations， with DA/NE （P<0.01， |r| values ranging from 0.38 to 0.46） and NE/EXC （P<0.01， |r| values ranging from 0.56 to 0.61） showing weak and moderate negative correlations， respectively， and DA/EXC showing a weak positive correlation （P<0.01， |r| values ranging from 0.38 to 0.47）. （3） The six neurotransmitters in the 1 028 patients with depression presented a total of 170 expression patterns in the whole brain. The top 30 expression patterns were reported in this paper， with a cumulative rate of 60.60%， including patterns ① INH+/5-HT-/ACh+/DA+/NE-/EXC- （9.05%）， ② INH+/5-HT-/ACh↓/DA+/NE-/EXC- （4.57%）， and ③ INH+/5-HT-/ACh+/DA+/NE↓/EXC- （3.31%）. That is， the proportion of depression patients with normal levels of all the six neurotransmitters was 9.05%， and the patients with at least one neurotransmitter abnormality accounted for 91.95%. （4） The factor analysis extracted 22 common factors from 78 variables in the whole brain and different brain regions. These common factors showed the absolute values of loadings ranging from 0.32 to 0.86 and the eigenvalues （F） ranging from 1.03 to 13.43， with a cumulative contribution rate of 76.82%. The characteristic expression patterns included ① ACh_P3↓/ACh_W↓/ACh_C3↓/ACh_F3↓/ACh_O1↓/ACh_T5↓/ACh_F7↓/NE_P3↑/NE_W↑/NE_C3↑/NE_F3↑/NE_O1↑/NE_T5↑/NE_F7↑ （F=13.43， whole brain）， ② 5-HT_O2↑/DA_O2↓/5-HT_P4↑/DA_P4↓/5-HT_W↑/DA_W↓/5-HT_C4↑/DA_C4↓ （F=5.94）， and ③ EXC_F4↓/DA_F4↓/NE_F4↑/INH_F4↑/5-HT_F4↑/ACh_F4↓ （F=5.33）. ConclusionThe actual 170 expression patterns of 6 neurotransmitters in the whole brain of 1 028 depression patients indicate that depression is a heterogeneous disease with individualized characteristics. The 22 characteristic expression patterns in the whole brain and 12 brain regions verify the pathogenesis hypothesis of multi-neurotransmitters oscillation imbalance in brains of depression patients. In summary， this study provides new guidance for the etiology， diagnosis， and treatment of depression and establishes a methodological foundation for the effectiveness evaluation of individualized treatment of depression by traditional Chinese medicine based on the objective biological markers.

ObjectiveTo analyze the characteristic expression patterns of six neurotransmitters including 5-hydroxytryptamine （5-HT）， dopamine （DA）， acetylcholine （ACh）， norepinephrine （NE）， inhibitory neurotransmitter （INH）， and excitatory neurotransmitter （EXC） in the whole brain and different brain regions of depression patients by Search of Encephalo Telex （SET）， providing new ideas for the study of heterogeneous etiology of depression. Methods（1） A retrospective study was conducted on supra-slow signals of EEG fluctuations in 1 028 patients with depression. The SET system was used to obtain the expression information of six neurotransmitters in the whole brain and 12 brain regions： left frontal region （F3）， right frontal region （F4）， left central region （C3）， right central region （C4）， left parietal region （P3）， right parietal region （P4）， left occipital region （O1）， right occipital region （O2）， left anterior temporal region （F7）， right anterior temporal region （F8）， left posterior temporal region （T5）， and right posterior temporal region （T6）. The expression information of each neurotransmitter was compared with the normal model， and it was found that single neurotransmitter was in one of three states： increased， decreased， or normal expression. The simultaneous expression states of six neurotransmitters in the brain space were referred to as the expression pattern of multiple neurotransmitters. （2） A MySQL database was established to analyze the actual expression patterns of different neurotransmitters in the whole brain of patients with depression. （3） Factor analysis was conducted to further analyze the characteristic rules of 78 variables of neurotransmitters in the whole brain and 12 brain regions in depression patients. Results（1） The expression of single neurotransmitters in the whole brain and different brain regions of the total depression population showed one of three expression states （increased/decreased/normal）， being normal in the majority. The decreased and increased expression of 5-HT， ACh， DA， INH， EXC， and NE in the whole brain occurred in 6% and 25%， 31% and 17%， 36% and 9%， 15% and 31%， 32% and 14%， and 22% and 22%， respectively. （2） The antagonizing pairs of neurotransmitters （EXC/INH， DA/5-HT， and ACh/NE） showed significant antagonistic relationships in the whole brain and different brain regions， with a strong negative correlation between EXC and INH （P<0.01， |r| values ranging from 0.69 to 0.76）， a strong negative correlation between DA and 5-HT （P<0.01， |r| values ranging from 0.83 to 0.90）， and a moderate negative correlation between ACh and NE （P<0.01， with |r| values ranging from 0.56 to 0.66）. Meanwhile， non-antagonizing pairs of neurotransmitters in the whole brain and different brain regions also showed correlations， with DA/NE （P<0.01， |r| values ranging from 0.38 to 0.46） and NE/EXC （P<0.01， |r| values ranging from 0.56 to 0.61） showing weak and moderate negative correlations， respectively， and DA/EXC showing a weak positive correlation （P<0.01， |r| values ranging from 0.38 to 0.47）. （3） The six neurotransmitters in the 1 028 patients with depression presented a total of 170 expression patterns in the whole brain. The top 30 expression patterns were reported in this paper， with a cumulative rate of 60.60%， including patterns ① INH+/5-HT-/ACh+/DA+/NE-/EXC- （9.05%）， ② INH+/5-HT-/ACh↓/DA+/NE-/EXC- （4.57%）， and ③ INH+/5-HT-/ACh+/DA+/NE↓/EXC- （3.31%）. That is， the proportion of depression patients with normal levels of all the six neurotransmitters was 9.05%， and the patients with at least one neurotransmitter abnormality accounted for 91.95%. （4） The factor analysis extracted 22 common factors from 78 variables in the whole brain and different brain regions. These common factors showed the absolute values of loadings ranging from 0.32 to 0.86 and the eigenvalues （F） ranging from 1.03 to 13.43， with a cumulative contribution rate of 76.82%. The characteristic expression patterns included ① ACh_P3↓/ACh_W↓/ACh_C3↓/ACh_F3↓/ACh_O1↓/ACh_T5↓/ACh_F7↓/NE_P3↑/NE_W↑/NE_C3↑/NE_F3↑/NE_O1↑/NE_T5↑/NE_F7↑ （F=13.43， whole brain）， ② 5-HT_O2↑/DA_O2↓/5-HT_P4↑/DA_P4↓/5-HT_W↑/DA_W↓/5-HT_C4↑/DA_C4↓ （F=5.94）， and ③ EXC_F4↓/DA_F4↓/NE_F4↑/INH_F4↑/5-HT_F4↑/ACh_F4↓ （F=5.33）. ConclusionThe actual 170 expression patterns of 6 neurotransmitters in the whole brain of 1 028 depression patients indicate that depression is a heterogeneous disease with individualized characteristics. The 22 characteristic expression patterns in the whole brain and 12 brain regions verify the pathogenesis hypothesis of multi-neurotransmitters oscillation imbalance in brains of depression patients. In summary， this study provides new guidance for the etiology， diagnosis， and treatment of depression and establishes a methodological foundation for the effectiveness evaluation of individualized treatment of depression by traditional Chinese medicine based on the objective biological markers.

Objective To analyse medication patterns for treating menstrual disorders with disharmony between the Chong and Ren pattern based on data mining.Methods Medical records from the gynecological outpatient department of Wenzhou TCM Hospital of Zhejiang Chinese Medical University from October 2023 to March 2024 were collected.A database was established based on Traditional Chinese Medicine Inheritance Computer System(V3.0),and data mining methods such as frequency statistics,association rule analysis and cluster analysis were used to analyze the medication patterns of traditional Chinese medicine in the treatment of menstrual disorders with disharmony between the Chong and Ren pattern.Results A total of 9003 effective prescriptions were collected,involving 410 Chinese medicinal herbs.The top five herbs by frequency were Danggui,Tusizi,Cuxiangfu,Xuduan,and Danshen.Tonic medicines,circulate blood and transform stasis medicines and interior heat-clearing medicines were used more frequently.The four qi were mainly warm and cold,the five lavours were mainly bitter and sweet,and the channel were mainly liver and spleen channel.By association analysis,a combination of drugs with Tusizi,Gouqizi,Danggui,Xuduan,Cuxiangfu were obtained.After cluster analysis,five groups of effective class squares were obtained.Conclusion Treatment of menstrual disorders with disharmony between the Chong and Ren pattern is used to tonic medicines,circulate blood and transform stasis medicines and interior heat-clearing medicines,pay attention to the balance of liver,spleen,kidney.The prescribing strategy considers both superficial and underlying conditions,employs a gradual rather than abrupt approach,integrates both cold and warm remedies,and ensures mutual reinforcement and restriction among the treatments.

Objective To evaluate the efficacy of the DrCloudme platform in follow-ups of intracranial aneurysm(IA)patients.Methods A randomized controlled trial was conducted with 120 IA patients treated at Hechi People's Hospital from July 2021 to June 2024.Participants were equally allocated via random number table method into two groups:The control group(n=60)received conventional telephone follow-up post interventional embolization,while the intervention group(n=60)uti-lized the DrCloudme platform for digital follow-up management.Outcome measures included medical compliance,social functio-ning(assessed by Social Disability Screening Schedule,SDSS),quality of life(evaluated using Quality of Life Instrument for Head and Neck Cancer,QLICP-HN),follow-up completion rates,and patient satisfaction.Results The observation group dem-onstrated significantly higher medical compliance,follow-up completion rate,and follow-up patient satisfaction compared to the control group(P＜0.05).Additionally,the observation group had lower SDSS scores and higher QLICP-HN scores,indicating better social function and quality of life(P＜0.05).Conclusion The DrCloudme platform can not only improve the follow-up completion rate for healthcare providers,but also enhance medical compliance,social functioning,and quality of life among dis-charged IA patients.Moreover,it significantly boosts patient satisfaction with follow-ups.

Objective To analyse medication patterns for treating menstrual disorders with disharmony between the Chong and Ren pattern based on data mining.Methods Medical records from the gynecological outpatient department of Wenzhou TCM Hospital of Zhejiang Chinese Medical University from October 2023 to March 2024 were collected.A database was established based on Traditional Chinese Medicine Inheritance Computer System(V3.0),and data mining methods such as frequency statistics,association rule analysis and cluster analysis were used to analyze the medication patterns of traditional Chinese medicine in the treatment of menstrual disorders with disharmony between the Chong and Ren pattern.Results A total of 9003 effective prescriptions were collected,involving 410 Chinese medicinal herbs.The top five herbs by frequency were Danggui,Tusizi,Cuxiangfu,Xuduan,and Danshen.Tonic medicines,circulate blood and transform stasis medicines and interior heat-clearing medicines were used more frequently.The four qi were mainly warm and cold,the five lavours were mainly bitter and sweet,and the channel were mainly liver and spleen channel.By association analysis,a combination of drugs with Tusizi,Gouqizi,Danggui,Xuduan,Cuxiangfu were obtained.After cluster analysis,five groups of effective class squares were obtained.Conclusion Treatment of menstrual disorders with disharmony between the Chong and Ren pattern is used to tonic medicines,circulate blood and transform stasis medicines and interior heat-clearing medicines,pay attention to the balance of liver,spleen,kidney.The prescribing strategy considers both superficial and underlying conditions,employs a gradual rather than abrupt approach,integrates both cold and warm remedies,and ensures mutual reinforcement and restriction among the treatments.

Acute myelogenous leukemia (AML) is a heterogeneous disease characterized by malignant proliferation of hematopoietic stem cells, and its morbidity and mortality are increasing, which seriously threatens human health. In recent years, many studies have shown that PI3K-AKT-mTOR signaling pathway is involved in the management of various biological processes in cells, and its abnormal activation is closely related to the occurrence and development of tumors. Therefore, this article reviews the recent research progress of PI3K-AKT-mTOR signaling pathway in the pathogenesis, progression and treatment of AML.

COVID-19 associated Guillain-Barré syndrome (GBS) caused by peripheral nerve damage after SARS-CoV-2 infection is one of the most common COVID-19 related nervous system inflammatory diseases, with high incidence of respiratory failure and mortality. Positive SARS-CoV-2 RNA in cerebrospinal fluid of COVID-19 associated GBS patients has been rarely reported. This paper reports 4 patients with COVID-19 associated GBS in China who developed neurological symptoms 4-15 days after fever and were confirmed SARS-CoV-2 infection. All patients presented with progressive weakness of both lower limbs, 3 patients with autonomic dysfunction such as defecation and urination disorders, and 1 patient with polycranial neuritis and Miller-Fisher syndrome such as bilateral facial palsy, dysphagia, diplopia and ataxia. Nerve conduction velocity and F wave were abnormal in 3 patients, and motor conduction pathway was abnormal in 1 patient. Anti-ganglioside antibodies were tested in 3 patients, and GD1a-IgG was positive in 1 patient. All 4 patients underwent metagenomic next-generation sequencing examination in blood and cerebrospinal fluid. SARS-CoV-2 RNA was positive in blood and cerebrospinal fluid of 3 patients, and SARS-CoV-2 RNA was positive in cerebrospinal fluid of 1 patient.