Depression is a common psychiatric disorder characterized by persistent low mood or mental disorders. Current treatments primarily focus on regulating neurotransmitter levels， but their effectiveness is limited. The mechanisms underlying its onset are complex， and there is no unified consensus. Abnormal signaling pathway transmission plays a crucial role in the development of depression， involving multiple pathways， including Toll-like receptor 4/nucleotide-binding oligomerization domain-like receptor protein 3 （TLR4/NLRP3）， nuclear factor-κB （NF-κB）， Janus kinase/signal transducer and activator of transcription （JAK/STAT）， mitogen-activated protein kinase/extracellular signal-regulated kinase （MAPK/ERK）， brain-derived neurotrophic factor/tyrosine kinase receptor B （BDNF/TrkB）， cyclic AMP/protein kinase A/cAMP response element-binding protein （cAMP/PKA/CREB）， and others. Traditional Chinese medicine（TCM） is based on a holistic approach and the principle of treatment based on the differentiation of syndromes， regulating the balance of multiple systems and organ functions from a macroscopic perspective. This approach has shown unique advantages in the treatment of depression. TCM attributes the onset of depression to dysfunction of the organ systems， involving liver Qi stagnation， heart spirit deficiency， kidney essence depletion， and spleen dysfunction. TCM compound treatments focus on soothing the liver， strengthening the spleen， calming the heart， and replenishing essence， with formulas such as Xiaoyaosan， Zishui Qinggan Yin， and Chahu Jia Guizhi Longgu Muli Tang. The active components of Chinese herbs mainly aim to tonify and regulate Qi， such as salidroside， ginsenoside Rb₁， astragaloside， and muscone. External TCM treatments， primarily acupuncture， aim to open the orifices and invigorate the spirit. Acupoints such as Baihui， Shenting， and Yintang are commonly used. Additionally， massage and moxibustion therapy can intervene in depression by regulating signaling pathways. This article reviews the core role of signaling pathways in the development of depression and the mechanism of TCM regulation of signaling pathways to intervene in depression， aiming to discover new therapeutic approaches that can improve the symptoms of depressed patients.

As an important protein synthesized by the liver， albumin is one of the most important markers for liver function， and its structure and function change with the progression of liver injury. Latest studies have shown that albumin in the disease state is not only reduced in quantity， but also damaged in quality， and thus the concept of “effective albumin” was proposed. This article elaborates on the research advances in the physiological structure and function of albumin， the changes of physiological function in the disease state， and the research advances in effective albumin， so as to explore precise strategies for the clinical application of albumin.

OBJECTIVE To explore the pharmacokinetic characteristics of 3 blood-absorbed components of Xiangshao sanjie oral liquid in rats with hyperplasia of mammary gland （HMG）. METHODS Female SD rats were divided into control group and HMG group according to body weight， with 6 rats in each group. The HMG group was given estrogen+progesterone to construct HMG model. After modeling， two groups were given 1.485 g/kg of Xiangshao sanjie oral liquid （calculated by crude drug） intragastrically， once a day， for 7 consecutive days. Blood samples were collected before the first administration （0 h）， and at 5， 15， 30 minutes and 1， 2， 4， 8， 12， 24 hours after the last administration， respectively. Using chlorzoxazone as the internal standard， the plasma concentrations of ferulic acid， paeoniflorin and rosmarinic acid in rats were detected by UPLC-Q/TOF-MS. The pharmacokinetic parameters [area under the drug time curve （AUC0－24 h， AUC0－∞）， mean residence time （MRT0－∞）， half-life （t1/2）， peak time （tmax）， peak concentration （cmax）] were calculated by the non-atrioventricular model using Phoenix WinNonlin 8.1 software. RESULTS Compared with the control group， the AUC0－24 h， AUC0－∞ and cmax of ferulic acid in the HMG group were significantly increased （P＜0.05）； the AUC0－24 h， AUC0－∞ ， MRT0－∞ ， t1/2 and cmax of paeoniflorin increased， but there was no significant difference between 2 groups （P＞0.05）； the AUC0－24 h and MRT0-∞ of rosmarinic acid were significantly increased or prolonged （P＜0.05）. C ONCLUSIONS In HMG model rats， the exposure of ferulic acid， paeoniflorin and rosmarinic acid in Xiangshao sanjie oral liquid all increase， and the retention time of rosmarinic acid is significantly prolonged.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To explore the nephrotoxic effects of exposure to perfluorobutanoic acid (PFBA) and its mechanism in mice, with a particular focus on analyzing the changes in kidney metabolism and their potential implications. Methods The specific pathogen free C57BL/6 mice were randomly divided into control group, low-dose group, and high-dose group, with 10 mice in each group. Mice in the three groups received intragastric administration of PFBA solution at doses of 0, 35 and 350 mg/kg body weight, once per day for seven consecutive days. The histopathological changes of kidneys of mice in these three groups were evaluated. Metabolomic profiling of mouse kidneys was performed using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differentially accumulated metabolites (DAMs) were identified based on the Human Metabolome Database, and related metabolic pathways were analyzed through MetaboAnalyst 6.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG). Results Histopathological analysis of kidneys showed that the renal pelvis mucosa of mice in the low-dose group presented focal mild inflammatory changes without marked structural damage, whereas mice in the high-dose group showed severe inflammation and partial destruction of renal structure. The kidney coefficient of mice in both low-dose group and the high-dose group decreased (both P<0.05), and the Paller scores of renal tissues increased (both P<0.05) compared with that in the control group. The Paller score of mouse renal tissue in the high-dose group was higher than that in the low-dose group (P<0.05). Metabolomic profiling identified 46 DAMs (26 upregulated, 20 downregulated) in the low-dose group and 104 DAMs (54 upregulated, 50 downregulated) in the high-dose group, with 26 shared DAMs between the two dose groups. KEGG pathway analysis revealed that DAMs were mainly involved in metabolic pathways such as glycerophospholipid metabolism, glycerolipid metabolism, sphingolipid and steroid hormone synthesis. Conclusion Acute exposure to PFBA can cause kidney injury in mice. Lipid metabolism pathways such as glycerophospholipid and sphingolipid metabolism is involved in the development of acute renal toxicity of PFBA.

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.

Biotoxins, which include bacterial, fungal, marine, plant, and animal toxins, are widespread in living and occupational environments, posing potential threats to human health. Rapid detection of biotoxins in blood is crucial for preventing health hazards and enabling timely disease diagnosis and treatment. Biosensors and immunoassay technologies have critical advantages in the rapid detection of biotoxins in blood. Common biosensors, such as surface plasmon resonance biosensors and fluorescent biosensors, enhance sensitivity and reduce detection limits through signal amplification. Common immunoassay methods, such as colloidal gold immunochromatography, fluorescence immunochromatography, and chemiluminescence immunoassay, improve detection efficacy and sensitivity through specific antibody-antigen binding and nanotechnology. However, current rapid detection technologies of bitoxins in blood face challenges such as matrix interference and insufficient specificity, and they fall short in high-throughput detection of multiple toxins simultaneously. Future developments should focus on improving sample pretreatment, innovating signal amplification methods, enhancing specificity on recognition of elements, and designing portable detection devices and high-throughput platforms for simultaneous toxin analysis. These advancements aim to improve the sensitivity and reliability of detection methods, providing more accurate and convenient solutions for biotoxin detection in blood.

Objective To investigate the risk factors of hip instability in elderly patients with femoral neck fracture after hemiarthroplasty(HA).Methods The medical records of 133 patients with femoral neck fracture who received HA treatment in the Department of Orthopedics of our hospital from January 2015 to October 2022 were retrospectively collected.According to whether the patients suffered hip dislocation after surgery,the patients were divided into dislocation group(n=35)and non-dislocation group(n=98).Demographic variables such as age,sex and body mass index(BMI)were recorded in the two groups.Complications such as diabetes,hypertension,heart disease and chronic obstructive pulmonary disease(COPD)were recorded.Prosthetic type,surgical approach,soft tissue repair type,blood loss and other surgical phase variables were recorded.Central marginal Angle(CEA),extraneous Angle(ABA),eccentricity,lower limb length difference(LLD),acetabular width,acetabular depth,and femoral head coverage(FCR)were measured on radiographs.Wald method was used to establish Logistic regression model to elucidate the risk factors of dislocation after HA.Results The proportion of COPD in the dislocation group was significantly higher than that in the control group(P＜0.05),and there was no significant difference in baseline characteristics between the two groups(P＞0.05).There was no significant difference between the two groups(P＞0.05).There were no significant differences in CEA,ABA,LLD,acetabular width,eccentricity and FCR between 2 groups(P＞0.05),but the acetabular depth and depto-width ratio in luxation group were significantly lower than those in control group(P＜0.05).Gender,COPD,CEA,acetabular width-to-depth ratio and LLD were independent risk factors for hip instability after HA(P＜0.05).Conclusion In this study,COPD,male,LLD,and small CEA and acetabular broad-to-depth ratio are independent risk factors for hip instability after HA,and therefore HA is not recommended for the treatment of femoral neck fractures in elderly patients with these conditions.

Objective:To explore the predictive value of myocardial work echocardiography on short-term mortality of patients with sepsis and septic shock(SSS).Methods:Patients who hospitalized in the ICU department of the Affiliated Lianyungang Hospital of Xuzhou Medical University from September 2022 to December 2023 were selected through prospective research.These patients,who need use vasopressor drugs,appeared clinical symptoms of sepsis and occurred septic shock.A total of 33 adult patients were continuously enrolled.According to whether patients with SSS died or survived within 28 days,they were divided into a survival group(23 cases)and a non-survival group(10 cases).The changes of myocardial function,serum lactic acid level,white blood cell(WBC)count,c-reactive protein(CRP)and other indexes were compared and assessed between the two groups after admission,and the predictive value of these parameters on short-term mortality in patients with sepsis and septic shock was investigated.Results:On the 3rd day after admission of patients with sepsis and septic shock,the heart rate,serum lactic acid level,white blood cell(WBC)count,global wasted work(GWW),and high-sensitivity cardiac troponin Ⅰ(hs-cTnⅠ)of non-survival group significantly higher than those of survival group(Z=-2.668,-2.550,-2.338,-2.175,-2.998,P＜0.05),and the global work efficiency(GWE)of non-survival group significantly decreased(Z=-2.311,P＜0.05).On the 5th day after admission,the heart rate,serum lactic acid level,WBC count,c-reactive protein(CRP)level of non-survival group significantly increased(Z=-3.073,-2.494,-3.408,-2.999,P＜0.05),and the pH value and global work index(GWI)of that significantly decreased(Z=-1.997,-2.546,P＜0.05).Serum lactic acid on the 3rd day and global work index on the 5th day were respectively independent risk factors for 28-day mortality in SSS patients after admission(OR=5.120,0.997,P＜0.05).On the 5rd GwI and serum lactic acid on the 3rd have similar values in predicting 28-day mortality in SSS patients[area under curve(AUC)value of receiver operating characteristics(ROC)curve of them were respectively 0.784 and 0.801,P＞0.05].Conclusion:Myocardial work echocardiography is helpful to identify the high risk of short-term death of SSS patients.Serum lactic acid of the 3rd day and global work index of the 5th day after admission are respectively independent risk factors for 28-day death in SSS patients.

Objective:To investigate the value of 3D CT reconstruction in diagnosis of chronic lateral ankle instability (CLAI) combined with syndesmotic diastasis (SD).Methods:A retrospective study was conducted to analyze the clinical data of 160 patients with CLAI who had been examined by arthroscopy from January 2018 to September 2022 at Department of Foot and Ankle Surgery, Wuhan Fourth Hospital. There were 64 males and 96 females with an age of (39.8±12.6) years. Eighty-one left and 79 right feet were affected; the time from injury to surgery was (27.3±11.6) months. The patients were divided into a widened interval group and a normal interval group according to the syndesmotic width measured, with 2 mm as a critical value. After preoperative 3D CT reconstruction, the differences in anterior tibiofibular distance, posterior tibiofibular distance, the narrowest tibiofibular distance, fibular translation, fibular rotation, and syndesmotic area (SA) were compared between the 2 groups. Univariate and multivariate analyses were performed successively to identify the risk factors. The receiver operating characteristic (ROC) curve was used to identify the best predictive factor and critical value. According to the findings of previous research, the above analyses were repeated to determine the best predictive factor and critical value respectively in the sex subgroup, fibular morphology subgroup and incisura feature subgroup.Results:The binary logistic regression showed that SA was a risk factor for CLAI combined with SD ( OR=1.196, 95% CI: 1.122 to 1.275, P < 0.001). The ROC curve revealed an area under curve of 0.847 and the difference critical value of 22.06 mm 2 that indicated a sensitivity of 80.4% and a specificity of 78.9%, respectively. Subgroup analyses showed that SA was suitable for male and female patients and patients with different fibular morphologies and incisura features but the difference critical values were different. Conclusion:In 3D CT reconstruction, measurement of SA may help the diagnosis of CLAI combined with SD.