ObjectiveTo explore the seasonal yin-yang waxing and waning characteristics of emotional symptoms in patients with bipolar disorder （BD） based on modern psychological symptom networks. MethodsClinical data of 3445 patients with BD were retrospectively collected and divided into a growth phase group （March to August） and a storage phase group （September to February of the following year） according to admission time. Ten symptom nodes were selected， including seven items from the Hamilton Depression Rating Scale （depressed mood， decreased work and interest， feelings of hopelessness， feelings of incapacity， difficulty falling asleep， restless sleep， and suicidal ideation） and three items from the Young Mania Rating Scale （elevated mood， increased activity/energy， and irritability）. The emotional symptom networks of the growth phase group and storage phase group were constructed using the EBICglasso model. Network comparison test （NCT） was used to compare network structural invariance （M）， global network strength invariance （S）， and differences in node centrality between the two groups. ResultsAmong the 3445 patients， 1604 were in the growth phase group and 1841 were in the storage phase group. After balancing covariates including admission year， admission mode， and episode type using inverse probability of treatment weighting （IPTW）， the emotional symptom networks of BD patients in the growth phase and storage phase groups showed similar overall structures， both presenting a two-cluster distribution composed of manic-related and depressive-related symptoms. No statistically significant difference was observed in network structure （M=0.103， P=0.181）. The global strength of the growth phase group （4.168） was slightly higher than 3.901 of the storage phase group， with no statistically significant difference （S=0.267， P=0.052）， suggesting that overall network connectivity remained relatively stable under the influence of seasonal qi dynamics. Node centrality analysis showed that depressed mood and increased activity/energy were common core nodes in both phases. Regarding directional changes， the strength of nodes including difficulty falling asleep， decreased interest， irritability， and increased activity showed a slight upward trend in the growth phase group， whereas the strength of suicidal ideation was slightly higher in the storage phase group； however， none of these differences reached statistical significance （P＞0.05）. ConclusionThe emotional symptom networks of BD patients remained generally stable between the growth and storage phases. Seasonal variations may induce only slight fluctuations in the centrality of certain symptoms but are insufficient to reconstruct the overall symptom network.

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

Objective:To develop a nomogram model for predicting the risk of ventilator-associated pneumonia (VAP) in patients with mechanical ventilation (MV) and to validate the stability of the prediction performance of the model.Methods:The patients with MV admitted to the Department of Critical Care Medicine of General Hospital of Ningxia Medical University from January 2019 to December 2022 were retrospectively selected according to the order of admission. The patients with MV were divided into the non-VAP group and the VAP group according to whether VAP occurred. The clinical data of the two groups, including general information, disease, medication, condition, and operation-related indicators were collected as candidate predictors of the model for comparison. Multivariate logistic stepwise forward regression analysis was used to screen the predictors that finally entered the model, and a nomogram model was constructed. The model discrimination was evaluated by the area under the receiver operating characteristic curve (AUC), the diagnostic test results of the model at the predicted threshold were calculated, the Hosmer-Lemeshow test was used to evaluate the model fit, and the Bootstrap resampling was used 1 000 times for internal validation, and model calibration and clinical applicability were evaluated by calibration curve and decision analysis curve, respectively.Results:A total of 1 250 patients with MV were included, including 1 102 patients in the non-VAP group and 148 patients in the VAP group, and the prevalence of VAP was 11.8%. The detection of multidrug-resistant organisms, chronic kidney disease, brain injury, oxygenation index, the place of tracheal intubation, reintubation, use of bronchoscopy, use of antibiotics, and MV duration were model predictors of VAP. The AUC of the nomogram model was 0.917 (95% CI: 0.895-0.939), the maximum Youden index of 0.697 corresponded to a prediction threshold of 0.096. The model accuracy, sensitivity and specificity were 0.836, 0.865, and 0.832, respectively. The positive predictive value and the negative predictive value were 0.409 and 0.979, respectively. The Hosmer- Lemeshow test indicated that the model fit well ( P=0.938). The results of the internal validation of the model showed that the predicted risk of the calibration curve was generally consistent with the actual risk, and the decision threshold probability of the decision analysis curve ranged from 2% to 90%. Conclusions:The nomogram model developed in this study is simple, convenient and has relatively stable prediction performance, which can be externally validated to evaluate the extrapolation of the model, and provide a basis for individualized clinical prediction of the risk of VAP in patients with MV.

Stasis-heat is a pathological factor associated with numerous exogenous and internal injuries, representing a pivotal mechanism in disease progression. Its primary cause is fire-heat toxicity. Based on the theory of qi and the holistic perspective of traditional Chinese medicine, this concept emphasizes that the biochemistry of all natural phenomena relies on the dynamic movement of qi ascending, descending, exiting, and entering. Within six qi, "fire" includes sovereign and ministerial fires. While physiological ministerial fire is the source power of life, pathological ministerial fire manifests as violent, intense energy that readily interacts with blood, leading to the formation of stasis-heat. Therefore, this article examines the formation and treatment of stasis-heat resulting from ministerial fire dysfunction. From the perspectives of ministerial fire gasification, the shape and quality of meridians, and the elevation of ministerial fire, it elucidates why the "pericardium-sanjiao-gallbladder" axis is regarded as pivotal. Furthermore, when the "pericardium-sanjiao-gallbladder" ministerial fire axis is unfavorable, and the stagnation of ministerial fire elevation and blockage is crucial to stasis-heat formation. Additionally, the depletion of essence and blood in the liver and kidneys, preventing the proper storage of ministerial fire, forms the pathological foundation. Drawing upon The Inner Canon of Yellow Emperor, this article explores therapeutic principles based on the rules of odor treatment: "when fires in the interior, the treatment of salty and cold, accompanied by bitter and pungent, acid to astringe, bitter to disperse." These principles are applied to achieve specific therapeutic goals: tempering the excess of ministerial fire to cool the nutritive level and transform stasis; adjusting the imbalance of elevation and depression to vent heat and unblock stasis; and restoring the misplaced fire by nourishing blood to expel stasis. Through these approaches, the article aims to reestablish the proper circulation of ministerial fire, dissipate blood stasis, and ultimately eliminate stasis-heat, thereby offering an integrated perspective on its pathogenesis and treatment.

Objective To analyze the core syndromes of patients with generalized anxiety disorder(GAD),explore the core pathogenesis,and offer innovative perspectives and practical strategies for the traditional Chinese medicine(TCM)diagnosis and treatment of GAD.Methods The basic information of GAD patients was collected,and depression symptoms were evaluated with Hamilton Anxiety Scale to evaluate anxiety symptoms,Hamilton Depression Scale,and the TCM psychiatric and somatic symptoms were evaluated with Traditional Chinese Medicine Symptom Observation Form.Based on the data collected from the Traditional Chinese Medicine symptom observation table,the systematic clustering method was used to cluster the symptoms with a frequency greater than 10％,determine the disease type syndrome and disease location syndrome,and form a syndrome symptom relationship table.According to this table,the traditional Chinese medicine syndrome score of each patient is calculated.The complex network analysis was carried out to evaluate core syndromes and analyze the relationships between core syndromes and psychiatric symptoms and core syndromes and other syndromes.Results A total of 517 patients with GAD were included.There were 81 symptoms with a frequency of more than 10％,including 21 psychological symptoms and 60 physical symptoms.The clustering analysis led to a total of 12 syndromes,including 6 pathological syndromes,namely yin deficiency,heat,phlegm dampness,qi stagnation,blood stasis,and qi deficiency,and 6 disease location syndromes,namely liver,spleen,kidney,gallbladder,stomach,and heart.The results of complex network analysis show that the core pathological syndrome of GAD is kidney,and the core pathological syndrome is yin deficiency.The joint analysis of pathological syndrome and pathological syndrome network suggests that yin deficiency is the core of the integrated network.The relationship between yin deficiency syndrome and various organs is in the order of kidney,spleen,gallbladder,liver,heart,and stomach.The syndrome element of yin deficiency has the highest correlation with being easily frightened,excessive thinking,indecisiveness,repetitive behavior,and groundless worry.The kidney syndrome has the highest correlation with the symptoms such as being easily scared,unfounded worry,repetitive actions,excessive rumination,and restlessness.Conclusion The core pathological pattern of GAD is kidney and the core pathological pattern is yin deficiency.Kidney yin deficiency may be the core pathogenesis of GAD.

Objective To explore the distribution patterns of traditional Chinese medicine(TCM)syndromes in patients with metabolic syndrome caused by antipsychotic drugs.Methods A standardized TCM syndrome survey was performed to collect diagnostic information from 160 patients diagnosed with metabolic syndrome due to antipsychotic drug use.Subsequent frequency analysis,cluster analysis,and Bayesian network analysis were carried out.The syndrome pattern distribution was ultimately determined through relevant literatures and expert opinions.Results Five TCM syndromes were identified through frequency,cluster,and Bayesian network analyses.The most common syndrome was qi deficiency with phlegm-dampness(30％),followed by spleen deficiency with phlegm-Heat(23.75％),qi and yin deficiency Pattern(21.88％),yin deficiency with damp-heat(17.50％),and stomach fire hyperactivity pattern(6.88％).Conclusion The pathogenesis of antipsychotics-induced metabolic syndrome involves a complex interplay of deficiency and excess factors.The primary disease is mainly located at the spleen and stomach,with involvement of the liver,kidney,and heart.Pathogenic factors include qi deficiency,yin deficiency,dampness,heat,pathogenic fire,and phlegm.

Objective To evaluate the efficacy and safety of Qingre Jiedu recipe in the treatment of bipolar depression.Methods A randomized,double-blind,Chinese medicine and western medicine placebo control design was used in this study.Totally 80 subjects with bipolar depression and fiery internal depression that met the enrollment criteria,were divided into the experimental group(EG,40 cases of western medicine simulation tablets+Chinese medicine formula granules)and the control group(CG,40 cases of western medicine+Chinese medicine placebo)according to a 1∶1 ratio at last,7 cases dropped out after enrollment,EG 36 cases,CG 37 cases.TCM Heat Internal Depression Syndrome(TCMHIDS),Hamilton Depression Scale-24 Item(HAMD-24),Hamilton Anxiety Scale(HAMA),Hypomania Checklist-33(HCL-33),Young Manic Rating Scale(YMRS)and Treatment Emergent Symptom Scale(TESS)scores were assessed at baseline and at the 2nd,4th and 8th week after treatment.Important signs and adverse events were recorded.Blood routine,hepatic and renal function,urine routine and electrocardiogram were performed during the screening period and the 8th week after treatment.For the patients who dropped out of the examination program,the examination item are identical to those at week 8.The primary outcome measure was the change in HAMD score from baseline to 8th week.Secondary outcome evaluation indicators included the changes of TCMHIDS,HAMA,HCL-33 and YMRS scores from baseline to 8th week.Results The scores of the HAMD-24 between EG and CG decreased significantly compared with the baseline at different time-point,and the difference was statistically significant(P＜0.01).However,the scores of the EG on the HAMD-24 decreased more significantly compared with the CG at the 4th and 8th week,and this difference was statistically significant(P＜0.01).The TCMHIDS and HAMD scores between two groups decreased compared with the baseline at different time-point,and this difference was statistically significant(P＜0.01).However,the TCMHIDS and HAMD scores of the EG decreased more significantly ot the 4th and 8th week,compared with the CG,and this difference was statistically significant(P＜0.01).Both YMRS and HCL-33 scores decreased more significantly between two groups at different time-point,compared with the baseline,and this differences was statistically significant,but there was no difference between two groups.Conclusion TCM Qingre Jiedu recipe could effectively relieve depression and anxiety mood of bipolar depression,with more advantages than western medicine.In addition,it showed a certain effect on hypomania or manic-related symptoms of bipolar disorder,No risk of turning to hypomania or manic,better safety and less adverse reactions were observed.

Objective To investigate their potential differences in brain functional characteristics from a neuroimaging perspective,functional magnetic resonance imaging(fMRI)was employed.Methods Twenty chronic fatigue syndrome(CFS)patients were recruited and underwent assessments of traditional Chinese medicine(TCM)syndrome patterns,fatigue severity scores,and resting-state fMRI scans.First,correlation analysis was performed between fatigue scores and TCM symptom scores.Symptom clusters significantly associated with fatigue were categorized into spleen deficiency and liver stagnation groups.Principal component analysis(PCA)was then applied to identify the dominant symptom components for each group.These components were subsequently mapped onto whole-brain functional activity to compare the neural signatures between the two syndromes.Finally,the brain functional profiles of spleen deficiency and liver stagnation were compared with publicly available neurotransmitter receptor maps to explore their distinct neurochemical substrates.Results Symptoms correlated with fatigue severity included exhaustion,dizziness,chest tightness,bitter taste in the mouth,epigastric fullness,poor appetite,irritability,lumbar soreness,sallow complexion,dry eyes,and five-center-heat.The brain mapping results revealed that spleen deficiency-related symptoms(poor appetite,sallow complexion,reduced food intake,dizziness)were primarily associated with the left thalamus and left parahippocampal gyrus.Liver stagnation-related symptoms(dry eyes,chest tightness,irritability,bitter taste)were linked to the left parahippocampal gyrus and right middle occipital gyrus(lingual region).The functional brain spectrum of the two syndromes showed significant negative correlations.Moreover,the spleen deficiency spectrum was closely associated with vesicular acetylcholine transporter(VAChT)receptor density.The liver stagnation spectrum correlated with D2 dopamine receptor density.Both spectrums were significantly related to glucose metabolic density but exhibited opposing directional trends.Conclusion CFS patients with spleen deficiency and liver stagnation demonstrate distinct central functional activities and neurochemical substrates,along with opposing brain activity patterns.Clinically,differentiating between these two syndrome patterns is critical for applying targeted TCM interventions.

Objective To analyze the core syndromes of patients with generalized anxiety disorder(GAD),explore the core pathogenesis,and offer innovative perspectives and practical strategies for the traditional Chinese medicine(TCM)diagnosis and treatment of GAD.Methods The basic information of GAD patients was collected,and depression symptoms were evaluated with Hamilton Anxiety Scale to evaluate anxiety symptoms,Hamilton Depression Scale,and the TCM psychiatric and somatic symptoms were evaluated with Traditional Chinese Medicine Symptom Observation Form.Based on the data collected from the Traditional Chinese Medicine symptom observation table,the systematic clustering method was used to cluster the symptoms with a frequency greater than 10％,determine the disease type syndrome and disease location syndrome,and form a syndrome symptom relationship table.According to this table,the traditional Chinese medicine syndrome score of each patient is calculated.The complex network analysis was carried out to evaluate core syndromes and analyze the relationships between core syndromes and psychiatric symptoms and core syndromes and other syndromes.Results A total of 517 patients with GAD were included.There were 81 symptoms with a frequency of more than 10％,including 21 psychological symptoms and 60 physical symptoms.The clustering analysis led to a total of 12 syndromes,including 6 pathological syndromes,namely yin deficiency,heat,phlegm dampness,qi stagnation,blood stasis,and qi deficiency,and 6 disease location syndromes,namely liver,spleen,kidney,gallbladder,stomach,and heart.The results of complex network analysis show that the core pathological syndrome of GAD is kidney,and the core pathological syndrome is yin deficiency.The joint analysis of pathological syndrome and pathological syndrome network suggests that yin deficiency is the core of the integrated network.The relationship between yin deficiency syndrome and various organs is in the order of kidney,spleen,gallbladder,liver,heart,and stomach.The syndrome element of yin deficiency has the highest correlation with being easily frightened,excessive thinking,indecisiveness,repetitive behavior,and groundless worry.The kidney syndrome has the highest correlation with the symptoms such as being easily scared,unfounded worry,repetitive actions,excessive rumination,and restlessness.Conclusion The core pathological pattern of GAD is kidney and the core pathological pattern is yin deficiency.Kidney yin deficiency may be the core pathogenesis of GAD.

Objective To explore the distribution patterns of traditional Chinese medicine(TCM)syndromes in patients with metabolic syndrome caused by antipsychotic drugs.Methods A standardized TCM syndrome survey was performed to collect diagnostic information from 160 patients diagnosed with metabolic syndrome due to antipsychotic drug use.Subsequent frequency analysis,cluster analysis,and Bayesian network analysis were carried out.The syndrome pattern distribution was ultimately determined through relevant literatures and expert opinions.Results Five TCM syndromes were identified through frequency,cluster,and Bayesian network analyses.The most common syndrome was qi deficiency with phlegm-dampness(30％),followed by spleen deficiency with phlegm-Heat(23.75％),qi and yin deficiency Pattern(21.88％),yin deficiency with damp-heat(17.50％),and stomach fire hyperactivity pattern(6.88％).Conclusion The pathogenesis of antipsychotics-induced metabolic syndrome involves a complex interplay of deficiency and excess factors.The primary disease is mainly located at the spleen and stomach,with involvement of the liver,kidney,and heart.Pathogenic factors include qi deficiency,yin deficiency,dampness,heat,pathogenic fire,and phlegm.