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 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.

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.

Objective To investigate the clinical effect of air moxibustion combined with pushpin-like needle acupuncture,which is formulated based on the"suppressing wood-supporting earth"theory in the doctrine of the five elements of Traditional Chinese Medicine(TCM),in the treatment of pain,nausea and vomiting after transcatheter arterial chemoembolization(TACE).Methods A total of 160 patients with hepatocellular carcinoma,who were admitted to the First Affiliated Hospital of Zhejiang University of Traditional Chinese Medicine of China to receive initial TACE between July 2020 and June 2023,were enrolled in this study.The patients were randomly divided into 4 groups with 40 patients in each group.The patients of the control group received TACE with conventional nursing care,the patients of the pushpin-like needle group received pushpin-like needle acupuncture on the basis of the control group,the patients of the air moxibustion group received air moxibustion treatment on the basis of the control group,and the patients of the combination group received air moxibustion combined with pushpin-like needle acupuncture on the basis of the control group.The post-TACE pain degree(VAS scoring)and nausea/vomiting extent(INVR scoring)were compared between each other among the four groups.Results The differences in the VAS score and INVR score(including main effect and interaction effect)between each other among the four groups were statistically significant(all P＜0.05).Statistically significant differences in the VAS score and INVR score existed between the control group and the other three groups(all P＜0.05).The differences in the VAS score and INVR score between combination group and pushpin-like needle group,as well as between combination group and air moxibustion group were statistically significant(both P＜0.05).Conclusion Air moxibustion combined with pushpin-like needle acupuncture can effectively and remarkably relieve post-TACE pain,nausea and vomiting,which is superior to simple use of air moxibustion or pushpin-like needle acupuncture.Therefor,the combination use of air moxibustion and pushpin-like needle acupuncture should be popularized in clinical practice.

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.