The movement of wei qi （defensive qi） follows the circadian rhythm of "circulating on the yang during the day， and on the yin at night" and serves a defensive function to "protect the body". Guided by the theory of wei qi， it is believed that time rhythms and the immune system play significant roles in the pathogenesis of ulcerative colitis （UC）. Dysfunction in wei qi circulation， particularly when "yang fails to enter yin，" can lead to the onset of UC； the cyclical nature of wei qi's movement results in disease patterns characterized by "morning relief， daytime stability， evening aggravation， and nighttime worsening"， which align with the rhythmic characteristics of immune responses. The defensive function of wei qi is crucial in maintaining intestinal immunity of patients with UC， and the spleen and stomach， which are the sources of wei qi， are key to sustaining intestinal mucosal immune homeostasis； additionally， obstruction in the ascending and descending movements of wei qi， internal disruption， and latent pathogen in the intestines lead to the development of UC. Based on the theory of wei qi， treatment approaches for UC are proposed， including time-based dietary adjustments and chronotherapy to harmonize human activities with natural rhythms； these approaches emphasize protecting the spleen and stomach while also considering the lungs and kidneys， balancing sanjiao， and harmonizing ying qi and wei qi， so as to improve the clinical effectiveness of UC treatment.

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.

To explore the correlation between human body fat distribution and carotid athero-sclerosis.

Objective:To predict the molecular mechanism of Biminkang Granules in the treatment of allergic rhinitis using network pharmacological methods combined with animal experiments.Methods:Active component targets and allergic rhinitis targets were screened from TCMSP, OMIM, GeneCards, TTD, DrugBank and PharmGKB databases; R language software was used to map the intersection of drug and disease targets; Cytoscape software and String platform were used to construct intersection target PPI network and conduct network topology analysis; DAVID platform was used to perform GO enrichment and KEGG pathway analysis, and perform molecular docking verification on the main active components and key targets. 32 rats were divided into a blank group of 8 and a model group of 24 using a random number table method. Model rats were induced by ovalbumin to establish an allergic rhinitis model. 24 SD rats that were successfully modeled and were randomly divided into model group, Western medicine group, and Biminkang Granules group using a random number table method, with 8 rats in each group. The Western medicine group was gavaged with 1 mg/kg of loratadine solution, the Biminkang Granules group was gavaged with 4.1 g/kg of Biminkang Granules solution, and the blank group and model group rats were gavaged with the same volume of physiological saline once a day for 2 consecutive weeks. The symptoms of rhinitis in each group of rats for 30 minutes were observed and recorded, and the pathological changes of the rat nasal mucosa were observed using HE staining. ELISA method was used to detect the levels of IL-17 and IL-6 in rat serum, and Western blot method was used to determine the expressions of TNF and STAT3 proteins in rat tissues.Results:A total of 41 target proteins of BiMinKang Dranule in the treatment of allergic rhinitis were predicted, and TNF, STAT3 and other core target proteins were obtained by PPI network topology analysis. The biological process of GO involved drug response, inflammatory response, cytokine response, etc.KEGG enrichment is involved in Th17 cell differentiation, lipid and atherosclerosis, IL-17, toll-like receptor and other pathways. Molecular docking results indicated that the main active components had good binding activity to key target proteins.Animal experiments showed that BiMinKang Dranule could improve the inflammatory symptoms of allergic rhinitis rats, down-regulate the expression of IL-17 and IL-6 in blood, and inhibit the expression of TNF and STAT3 proteins.Conclusion:Biminkang Granules can treat allergic rhinitis through multiple active components, multiple target proteins and multiple pathways, and the mechanism may be related to the regulation of Th17 cell differentiation pathway related proteins.

Objective To understand the incidence and characteristics of adverse drug reactions(ADRs)of carbapenems,explore the relevant risk signals,and provide a reference for clinically safe drug use.Methods All spontaneous reports of carbapenem drug-related ADRs from January 2008 to October 2022 in the Adverse Drug Reaction Monitoring Center,PLA General Hospital's ADR database were retrieved,and information such as patients'general conditions,involved systems and organs damage,and the names of ADRs involved were retrospectively analysed.Using the reporting odd ratio method,the proportional reporting ratio method,the Medicines and Healthcare Products Regulatory Agency method,and information component method to obtain risk signals of carbapenem antimicrobial drug-related ADR.Results A total of 2 642 ADR reports of carbapenems were reported,of which 410 serious ADR reports(15.52％)were serious ADR reports,five cabapenem antimirobial drug species were mainly involved.In descending order of composition were imipenem cilastatin(51.28％),meropenem(32.13％),biapenem(8.10％),ertapenem(7.68％),and panipenem(0.79％).The male to female ratio of patients was 1.74:1,with the most age＞60 years(59.69％).A total of 14"drug-ADR name"combinations generated risk signals in all four data mining methods,with meropenem being the most signals,and imipenem cilastatin and ertapenem had a high number of reported ADR in nervous system.Conclusion The results of risk signal mining are basically consistent with the known carbapenem ADR information,during the use of carbapenem antimicrobial drugs in the clinic,it is recommended to monitor patients'liver and kidney functions as well as blood biochemical indexes,so as to strengthen the awareness of vigilance in the clinical use of carbapenem antimicrobial drugs,and timely recognize and deal with ADRs in a timely manner,and to avoid the occurrence of serious ADRs.

Objective To construct a module for drug-induced central nervous system adverse reactions(CNS-ADR)within the Clinical Adverse Drug Event Active Monitoring and Intelligent Assessment Alert System-Ⅱ(ADE-ASAS-Ⅱ),and to conduct a large-scale,real-world active monitoring and evaluation of CNS-ADR specifically related to imipenem/cilastatin.Methods Based on literature review,spontaneous report evaluation,and initial word set of CNS-ADR related descriptions in electronic medical records,text recognition technology was used to construct and optimize the condition settings of the CNS-ADR automatic monitoring module.Hospitalized patients using imipenem/cilastatin were retrospectively monitored from 2017 to 2021,and the positive patients which had CNS-ADR were statistically described in terms of the demographic characteristics,CNS symptoms,and hospital departments.Results Based on a repeated testing optimization using 1 185 manually monitored results,the best setting for the determined module includes 62 sets of keywords,with a positive predictive value(PPV)of 13.63％and a recall rate of 100％.Expanding the monitoring to 8 222 medication users using this module,281 cases of positive causality were identified,with an incidence rate of 3.42％.Among them,patients over 60 years old accounted for 50.17％,and the main manifestations of CNS-ADR were epileptic seizures,headaches,mania,and delirium.Conclusion The CNS-ADR automatic monitoring module established based on ADE-ASAS-Ⅱ provides fast and reliable text data mining support for conducting real-world research on CNS-ADR.

Objective:To explore the effectiveness of 18F-deuterated-Florbetapir (D3FSP) PET/CT imaging in detecting β-amyloid (Aβ) deposition in the brain and its correlation with plasma biomarkers. Methods:A retrospective analysis was conducted on 79 patients (32 males, 47 females; age(66±7)years) who underwent 18F-D3FSP PET/CT imaging from June 2022 to November 2023 at the First Affiliated Hospital, Guangzhou Medical University, as a part of the Greater Bay Area Healthy Aging Brain Longitudinal Cohort Study (GHABS). Based on the Alzheimer′s Disease Neuroimaging Initiative cohort standard protocol, patients were categorized into cognitively unimpaired (CU) group, mild cognitive impairment (MCI) group, and Alzheimer′s disease (AD) group. Brain regions were segmented using the AW workstation and the SUV ratio (SUVR) was calculated with the cerebellum as the reference region. One-way analysis of variance, Bonferroni correction and Pearson correlation analysis were used to analyze data. The ROC curve analysis was used to analyze the cut-off value and the diagnostic efficacy of SUVR. Results:There were 48, 15 and 16 cases in CU, MCI and AD groups respectively. During the transition from CU to MCI and then to AD, there was a rising trend in SUVR ( F values: 11.15-22.38, all P<0.001) across the whole brain and various brain regions (bilateral frontal lobes, bilateral anterior cingulate gyrus, bilateral precuneus, bilateral parietal lobes, bilateral lateral temporal lobes, and bilateral occipital lobes). SUVRs of the right anterior cingulate gyrus and bilateral precuneus were different between the CU and MCI groups (all P<0.017), and those of bilateral frontal lobes, right precuneus, bilateral parietal lobes, bilateral lateral temporal lobes, and bilateral occipital lobes were different between the MCI and AD groups (all P<0.017). SUVRs of brain regions were negatively correlated with cognitive scale scores ( r values: from -0.57 to -0.37, all P<0.001), and were positively correlated with plasma phosphorylated tau181 (p-tau181, r values: 0.50-0.61, all P<0.001). The ROC curve analysis suggested that the cut-off value of SUVR in the precuneus for distinguishing CU from AD was 1.20, with the AUC, sensitivity, specificity and accuracy of 0.85, 12/16, 91.7%(44/48)and 87.5%(56/64), respectively. Conclusion:18F-D3FSP PET/CT imaging has good clinical application value in assessing the deposition sites and the extent of Aβ in the brain, which is related to clinical cognition and plasma p-tau181 level.

Objective To investigate the changes in distribution of Oncomelania hupensis snails in forestlands in Songjiang District, Shanghai Municipality from 2009 to 2023, so as to provide insights into formulation of O. hupensis snail surveillance programs. Methods The reports on O. hupensis snail surveillance in Songjiang District, Shanghai Municipality from 2009 to 2023 were collected, and the snail surveillance data in forestlands were extracted. The trends in the proportion of areas with snails in forestlands in total areas with snails, occurrence of frames with living snails and density of living snails were evaluated using a Joinpoint regression model in Songjiang District from 2009 to 2023, and the annual percent change (APC) and average annual percent change (AAPC). Results A total of 40 sites with snails were found in forestlands in 14 administrative villages of 4 townships, Songjiang District, Shanghai Municipality from 2009 to 2023. A total of 39 065 frames were surveyed for snails in settings covering an area of 609 600 m², and there were 6 084 frames with snails, covering 151 250 m² snail habitats. A total of 22 210 snails were captured, with the highest density of 260.00 snails/0.1 m², and 6 262 snails were dissected, with no Schistosoma japonicum infection identified in snails. The proportion of areas with snails in forestlands in total areas with snails appeared a tendency towards a rise in forestlands in Songjiang District, Shanghai Municipality from 2009 to 2023 (APC = AAPC = 24.9%, P > 0.05); however, there were no turning points in the trend curve, with the highest proportion seen in 2009 (53.81%), the lowest in 2011 and 2023 (both 0) and a mean proportion of 24.81%. The occurrence of frames with living snails appeared a tendency towards a rise from 2009 to 2023 (APC = AAPC = 41.5%, P > 0.05); however, there were no turning points in the trend curve, with the highest occurrence in 2009 (53.81%), the lowest in 2011 and 2013 (both 0), and the mean occurrence of 15.57%. In addition, the density of living snails appeared a tendency towards a rise from 2009 to 2023 (APC = AAPC = 55.0%, P > 0.05); however, there were no turning points in the trend curve, with the highest density in 2023 (0.96 snails/0.1 m²), the lowest in 2011 and 2013 (both 0), and a mean density of 0.57 snails/0.1 m². Conclusions The difficulty in O. hupensis snail control and risk of imported snails appeared a tendency towards a rise in forestlands in Songjiang District, Shanghai Municipality over years from 2009 to 2023. Supervision and assessment prior to seedling transplantation and intensified surveillance post-transplantation are recommended to reduce the risk of O. hupensis snail importation and spread.

【Objective】 To explore the application value of ¹⁸F-PSMA PET/CT on the detection of metastatic lesions of prostate cancer with serum total prostate specific antigen (tPSA) ≤20 ng/mL and the predictive variables affecting the imaging results, and to establish a predictive nomogram for the metastasis of prostate cancer. 【Methods】 The imaging, pathological, serum and clinical data of 175 pathologically confirmed prostate cancer patients who underwent ¹⁸F-PSMA PET/CT examination during Jan.2020 and Oct.2021 were retrospectively collected.The patients were divided into metastatic group and non-metastatic group according to PET/CT imaging results, and the positive detection rate of metastatic lesions was calculated.The independent influencing factors of ¹⁸F-PSMA PET/CT in the positive detection of metastatic lesions were determined with univariate and multivariate logistic regression analyses.The predictive nomogram was established. 【Results】 Of the 175 patients, metastatic lesions were detected in 78 cases and not detected in 97 cases, with a detection rate of 44.6% (78/175).There were statistically significant differences between the metastatic group and the non-metastatic group in urinary tract symptoms, androgen deprivation treatment (ADT) at the time of PET/CT examination and the risk level of Gleason score (GS) (P<0.05).Univariate logistic regression showed that urinary tract symptoms(OR=3.64, P<0.001), GS risk (OR=3.96, P<0.001) and concurrent ADT treatment (OR=3.71, P<0.001) were associated with the positive detection rate of metastatic lesions.Multivariate Logistic regression showed that urinary tract symptoms (OR=3.19, P=0.002), GS high-risk group (OR=2.95, P=0.005) and concurrent ADT treatment (OR=3.27, P=0.001) were independent predictors of positive detection rate. 【Conclusion】 The probability of metastasis in newly diagnosed prostate cancer patients with tPSA≤20 ng/mL is high.¹⁸F-PSMA PET/CT is of high value for the early detection of metastasis.Urinary tract symptoms, GS high-risk group and concurrent ADT treatment are independent predictors of metastatic lesions.The predictive nomogram can help assist clinical optimization of imaging examination path.