BACKGROUND:Fibromyalgia syndrome,as a common rheumatic disease,is related to central sensitization and immune abnormalities.However,the specific mechanism has not been elucidated,and there is a lack of specific diagnostic markers.Exploring the possible pathogenesis of this disease has important clinical significance. OBJECTIVE:To screen the potential diagnostic marker genes of fibromyalgia syndrome and analyze the possible immune infiltration characteristics based on bioinformatics methods,such as weighted gene co-expression network analysis(WGCNA),and machine learning. METHODS:Gene expression profiles in peripheral serum of fibromyalgia syndrome patients and healthy controls were obtained from the gene expression omnibus(GEO)database.The differentially co-expressed genes were screened in the expression profile by differential analysis and WGCNA analysis.Least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE)machine learning algorithm were further used to identify hub biomarkers,and draw receiver operating characteristic curve(ROC)to evaluate the accuracy of diagnosing fibromyalgia syndrome.Finally,single sample gene set enrichment analysis(ssGSEA)and gene set enrichment analysis(GSEA)were used to evaluate the immune cell infiltration and pathway enrichment in patients with fibromyalgia syndrome. RESULTS AND CONCLUSION:Eight down-regulated differentially expressed genes(DEGs)were obtained after differential analysis of the GSE67311 dataset according to the conditions of log2|(FC)|>0 and P<0.05.After WGCNA analysis,497 genes were included in the module(MEdarkviolet)with the highest positive correlation(r=0.22,P=0.04),and 19 genes were included in the module(MEsalmon2)with the highest negative correlation(r=-0.41,P=6×10-5).After intersecting DEGs and the module genes of WGCNA,seven genes were obtained.Four genes were screened out by LASSO regression algorithm and five genes were screened out by SVM-RFE machine learning algorithm.After the intersection of the two,three core genes were identified,which were germinal center associated signaling and motility like,integrin beta-8,and carboxypeptidase A3.The areas under the ROC curve of the three core genes were 0.744,0.739,and 0.734,respectively,indicating that they have good diagnostic value and can be used as biomarkers for fibromyalgia syndrome.The results of immune infiltration analysis showed that memory B cells,CD56 bright NK cells,and mast cells were significantly down-regulated in patients with fibromyalgia syndrome compared with the control group(P<0.05),and were significantly positively correlated with the above three biomarkers(P<0.05).The enrichment analysis suggested that there were nine fibromyalgia syndrome enrichment pathways,mainly related to olfactory transduction pathway,neuroactive ligand-receptor interaction,and infection pathway.The above results showed that the occurrence and development of fibromyalgia syndrome are related to the involvement of multiple genes,abnormal immune regulation,and multiple pathways imbalance.However,the interactions between these genes and immune cells,as well as their relationships with various pathways need to be further investigated.

Background Exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with the development of metabolic syndrome (MS). However, the role of amino acids in PAH-induced MS remains unclear. Objective To explore the impact of PAHs exposure on the incidence of MS among coking workers, and to determine potential modifying effect of amino acid on this relationship. Methods Unmatched nested case-control design was adopted and the baseline surveys of coking workers were conducted in two plants in Taiyuan in 2017 and 2019, followed by a 4-year follow-up. The cohort comprised 667 coking workers. A total of 362 participants were included in the study, with 84 newly diagnosed cases of MS identified as the case group and 278 as the control group. Urinary levels of 11 PAH metabolites and plasma levels of 17 amino acids were measured by ultrasensitive performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Logistic regression was used to estimate the association between individual PAH metabolites and MS. Stratified by the median concentration of amino acids, Bayesian kernel machine regression (BKMR) model was employed to assess the mixed effects of PAHs on MS. Due to the skewed data distribution, all PAH metabolites and amino acids in the analysis were converted by natural logarithm ln (expressed as lnv). Results The median age of the 362 participants was 37 years, and 83.2% were male. Compared to the control group, the case group exhibited higher concentrations of urinary 2-hydroxyphenanthrene (2-OHPhe), 9-hydroxyphenanthrene (9-OHPhe), and hydroxyphenanthrene (OHPhe) (P=0.005, P=0.049, and P=0.004, respectively), as well as elevated levels of plasma branched chain amino acid (BCAA) and aromatic amino acid (AAA) (P<0.05). After being adjusted for confounding factors, for every unit increase in lnv_2-OHPhe in urine, the OR (95%CI) of MS was 1.57 (1.11, 2.26), and for every unit increase in lnv_OHPhe, the OR (95%CI) of MS was 1.82 (1.16, 2.90). Tyrosine, leucine, and AAA all presented a significant nonlinear correlation with MS. At low levels, tyrosine, leucine, and AAA did not significantly increase the risk of MS, but at high levels, they increased the risk of MS. In the low amino acid concentration group, as well as in the low BCAA and low AAA concentration groups, it was found that compared to the PAH metabolite levels at the 50th percentile (P₅₀), the log-odds of MS when the PAH metabolite levels was at the 75th percentile (P₇₅) were 0.158 (95%CI: 0.150, 0.166), 0.218 (95%CI: 0.209, 0.227), and 0.262 (95% CI: 0.241, 0.282), respectively, However, no correlation between PAHs and MS was found in the high amino acid concentration group. Conclusion Amino acids modify the effect of PAHs exposure on the incidence of MS. In individuals with low plasma amino acid levels, the risk of developing MS increases with higher concentrations of mixed PAH exposure. This effect is partly due to the low concentrations of BCAA and AAA.

ObjectiveTo explore the clinical safety of Feilike Mixture （FLK） in the real world. MethodsThe safety of all children who received FLK from 29 institutions in 12 provinces between January 21，2021 and December 25，2021 was evaluated through prospective centralized surveillance and a nested case control study. ResultsA total of 3 035 juveniles were included. There were 29 research centers involved，which are distributed across 12 provinces，including one traditional Chinese medicine （TCM） hospital and 28 general hospitals. The average age among the juveniles was （4.77±3.56） years old，and the average weight was （21.81±12.97） kg. Among them，119 cases （3.92%） of juveniles had a history of allergies. Acute bronchitis was the main diagnosis for juveniles，with 1 656 cases （54.46%）. FLK was first used in 2 016 cases （66.43%），and 142 juvenile patients had special dosages，accounting for 4.68%. Among them，92 adverse drug reactions （ADRs） occurred，including 73 cases of gastrointestinal system disorders，10 cases of metabolic and nutritional disorders，eight cases of skin and subcutaneous tissue diseases，two cases of vascular and lymphatic disorders，and one case of systemic diseases and various reactions at the administration site. The manifestations of ADRs were mainly diarrhea，stool discoloration，and vomiting，and no serious ADRs occurred. The results of multi-factor analysis indicated that special dosages （the use of FLK）［odds ratio （OR） of 2.642， 95% confidence interval （CI） of 1.105-6.323］，combined administration： spleen aminopeptide （OR of 4.978， 95%CI of 1.200-20.655），and reason for combined administration： anti-infection （OR of 1.814， 95%CI of 1.071-3.075） were the risk factors for ADRs caused by FLK. Conclusion92 ADRs occurred among 3 035 juveniles using FLK. The incidence of ADRs caused by FLK was 3.03%，and the severity was mainly mild or moderate. Generally，the prognosis was favorable after symptomatic treatment such as drug withdrawal or dosage reduction，suggesting that FLK has good clinical safety.

ObjectiveTo evaluate the therapeutic effects of modified Buwangsan on cognitive dysfunction in the rat model of type 2 diabetes mellitus with mild cognitive impairment （T2DM-MCI） and explore the underlying mechanism. MethodsThirty-six 5-week-old SPF-grade SD rats were randomly assigned into 6 groups： Normal （Con， fed with a normal diet）， model （DM， fed with a high-sugar and high-fat diet）， low-dose modified Buwangsan （L-BWS， 1.86 g·kg^-1）， medium-dose modified Buwangsan （M-BWS， 3.72 g·kg^-1）， high-dose modified Buwangsan （H-BWS，7.44 g·kg^-1）， and huperzine A （SSJJ， 0.018 mg·kg^-1）. The rats were treated by gavage once a day for 12 weeks. The body weight and blood glucose level were monitored dynamically. Morris water maze was employed to test the cognitive function of rats. Hematoxylin-eosin and Nissl staining were employed to observe the pathological changes of the hippocampus. The levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in the serum and hippocampus were assessed by enzyme-linked immunosorbent assay. Western blotting was employed to determine the expression levels of key autophagy-related proteins including microtubule-associated protein 1 light chain 3 （LC3）， type Ⅲ phosphatidylinositol 3-kinase complex regulatory subunit （Beclin1）， and phosphorylated UNC-51-like kinase （p-ULK） 1/2 in the hippocampus. Immunofluorescence staining was employed to observe the regulation of p-PI3K/PI3K， p-mTOR/mTOR， and p-Akt/Akt ratios. ResultsCompared with the DM group， the L-BWS， M-BWS， H-BWS， and SSJJ groups showed increases in body weight at the end of the experiment （P<0.05）， and the M-BWS， H-BWS and SSJJ groups showed declines in fasting blood glucose level （P<0.05）. In the water maze test， compared with the DM group， the M-BWS， H-BWS， and SSJJ groups presented shortened escape latency （P<0.001）. The L-BWS， M-BWS， H-BWS， and SSJJ group showcased regularly arranged cells in the hippocampus and cortex， markedly increased number of neurons， and significantly recovered Nissl bodies. Compared with the DM group， the L-BWS， M-BWS， H-BWS， and SSJJ groups had reductions in the levels of IL-1β and IL-6 in the serum and hippocampus （P<0.05）， increases in the LC3-II/LC3-I ratio and expression level of beclin1 in the hippocampus （P<0.05） and the p-ULK level （P<0.05）. The p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR ratios in the hippocampus decreased in the M-BWS， H-BWS， and SSJJ groups （P<0.01）. ConclusionModified Buwangsan significantly ameliorates cognitive dysfunction and neurological damage in the rat model of T2DM through multiple mechanisms. It regulates metabolic disorders， lowers the blood glucose level， improves lipid metabolism， and alleviates oxidative stress. It promotes the protection and repair of neurons by inhibiting inflammatory responses and activating the autophagy pathway in the hippocampus. At the same time， modified Buwangsan relieves autophagy inhibition by regulating the PI3K/Akt/mTOR signaling pathway to alleviate the brain tissue injury.

ObjectiveTo evaluate the therapeutic effects of modified Buwangsan on cognitive dysfunction in the rat model of type 2 diabetes mellitus with mild cognitive impairment （T2DM-MCI） and explore the underlying mechanism. MethodsThirty-six 5-week-old SPF-grade SD rats were randomly assigned into 6 groups： Normal （Con， fed with a normal diet）， model （DM， fed with a high-sugar and high-fat diet）， low-dose modified Buwangsan （L-BWS， 1.86 g·kg^-1）， medium-dose modified Buwangsan （M-BWS， 3.72 g·kg^-1）， high-dose modified Buwangsan （H-BWS，7.44 g·kg^-1）， and huperzine A （SSJJ， 0.018 mg·kg^-1）. The rats were treated by gavage once a day for 12 weeks. The body weight and blood glucose level were monitored dynamically. Morris water maze was employed to test the cognitive function of rats. Hematoxylin-eosin and Nissl staining were employed to observe the pathological changes of the hippocampus. The levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in the serum and hippocampus were assessed by enzyme-linked immunosorbent assay. Western blotting was employed to determine the expression levels of key autophagy-related proteins including microtubule-associated protein 1 light chain 3 （LC3）， type Ⅲ phosphatidylinositol 3-kinase complex regulatory subunit （Beclin1）， and phosphorylated UNC-51-like kinase （p-ULK） 1/2 in the hippocampus. Immunofluorescence staining was employed to observe the regulation of p-PI3K/PI3K， p-mTOR/mTOR， and p-Akt/Akt ratios. ResultsCompared with the DM group， the L-BWS， M-BWS， H-BWS， and SSJJ groups showed increases in body weight at the end of the experiment （P<0.05）， and the M-BWS， H-BWS and SSJJ groups showed declines in fasting blood glucose level （P<0.05）. In the water maze test， compared with the DM group， the M-BWS， H-BWS， and SSJJ groups presented shortened escape latency （P<0.001）. The L-BWS， M-BWS， H-BWS， and SSJJ group showcased regularly arranged cells in the hippocampus and cortex， markedly increased number of neurons， and significantly recovered Nissl bodies. Compared with the DM group， the L-BWS， M-BWS， H-BWS， and SSJJ groups had reductions in the levels of IL-1β and IL-6 in the serum and hippocampus （P<0.05）， increases in the LC3-II/LC3-I ratio and expression level of beclin1 in the hippocampus （P<0.05） and the p-ULK level （P<0.05）. The p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR ratios in the hippocampus decreased in the M-BWS， H-BWS， and SSJJ groups （P<0.01）. ConclusionModified Buwangsan significantly ameliorates cognitive dysfunction and neurological damage in the rat model of T2DM through multiple mechanisms. It regulates metabolic disorders， lowers the blood glucose level， improves lipid metabolism， and alleviates oxidative stress. It promotes the protection and repair of neurons by inhibiting inflammatory responses and activating the autophagy pathway in the hippocampus. At the same time， modified Buwangsan relieves autophagy inhibition by regulating the PI3K/Akt/mTOR signaling pathway to alleviate the brain tissue injury.

Objective: Negative symptoms in schizophrenia indicate a poor prognosis. However, the mechanisms underlying the development of negative symptoms remain unclear. This study investigated the relationship between negative symptoms in schizophrenia and frontal alpha asymmetry (FAA). Methods: The study used a 32-channel electroencephalography to acquire alpha power in 4 target-paired sites in each patient. Regional alpha asymmetry was calculated based on the alpha power using EEGLAB Frontal Alpha Asymmetry Toolbox. Results: Sixty schizophrenia patients with predominant negative symptoms (PNS), 72 stabilized schizophrenia (SS) patients, and 73 healthy control (HC) participants were enrolled in this study. No significant differences were observed in FAA between the PNS and SS groups, although both groups exhibited reduced P3-P4 alpha asymmetry compared to HCs. A positive correlation was found between F7-F8 alpha asymmetry and illness duration. Additionally, a predictive model based on P3-P4 alpha asymmetry scores was able to differentiate schizophrenia patients from HCs, achieving a sensitivity of 71.2% and a specificity of 72.6%. Conclusion This study highlighted that parietal alpha asymmetry could serve as a valuable diagnostic tool for schizophrenia.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Background/Aims: Treatment indications for patients with chronic hepatitis B (CHB) remain contentious, particularly for patients with mild alanine aminotransferase (ALT) elevation. We aimed to evaluate treatment effects in this patient population. Methods: This rollover study extended a placebo-controlled trial that enrolled non-cirrhotic patients with CHB and ALT levels below two times the upper limit of normal. Following 3 years of randomized intervention with either tenofovir disoproxil fumarate (TDF) or placebo, participants were rolled over to open-label TDF for 3 years. Liver biopsies were performed before and after the treatment to evaluate histopathological changes. Virological, biochemical, and serological outcomes were also assessed (NCT02463019). Results: Of 146 enrolled patients (median age 47 years, 80.8% male), 123 completed the study with paired biopsies. Overall, the Ishak fibrosis score decreased in 74 (60.2%), remained unchanged in 32 (26.0%), and increased in 17 (13.8%) patients (p<0.0001). The Knodell necroinflammation score decreased in 58 (47.2%), remained unchanged in 29 (23.6%), and increased in 36 (29.3%) patients (p=0.0038). The proportion of patients with an Ishak score ≥ 3 significantly decreased from 26.8% (n=33) to 9.8% (n=12) (p=0.0002). Histological improvements were more pronounced in patients switching from placebo. Virological and biochemical outcomes also improved in placebo switchers and remained stable in patients who continued TDF. However, serum HBsAg levels did not change and no patient cleared HBsAg. Conclusions In CHB patients with minimally raised ALT, favorable histopathological, biochemical, and virological outcomes were observed following 3-year TDF treatment, for both treatment-naïve patients and those already on therapy.

Background/Aims: Treatment indications for patients with chronic hepatitis B (CHB) remain contentious, particularly for patients with mild alanine aminotransferase (ALT) elevation. We aimed to evaluate treatment effects in this patient population. Methods: This rollover study extended a placebo-controlled trial that enrolled non-cirrhotic patients with CHB and ALT levels below two times the upper limit of normal. Following 3 years of randomized intervention with either tenofovir disoproxil fumarate (TDF) or placebo, participants were rolled over to open-label TDF for 3 years. Liver biopsies were performed before and after the treatment to evaluate histopathological changes. Virological, biochemical, and serological outcomes were also assessed (NCT02463019). Results: Of 146 enrolled patients (median age 47 years, 80.8% male), 123 completed the study with paired biopsies. Overall, the Ishak fibrosis score decreased in 74 (60.2%), remained unchanged in 32 (26.0%), and increased in 17 (13.8%) patients (p<0.0001). The Knodell necroinflammation score decreased in 58 (47.2%), remained unchanged in 29 (23.6%), and increased in 36 (29.3%) patients (p=0.0038). The proportion of patients with an Ishak score ≥ 3 significantly decreased from 26.8% (n=33) to 9.8% (n=12) (p=0.0002). Histological improvements were more pronounced in patients switching from placebo. Virological and biochemical outcomes also improved in placebo switchers and remained stable in patients who continued TDF. However, serum HBsAg levels did not change and no patient cleared HBsAg. Conclusions In CHB patients with minimally raised ALT, favorable histopathological, biochemical, and virological outcomes were observed following 3-year TDF treatment, for both treatment-naïve patients and those already on therapy.

Objective: Negative symptoms in schizophrenia indicate a poor prognosis. However, the mechanisms underlying the development of negative symptoms remain unclear. This study investigated the relationship between negative symptoms in schizophrenia and frontal alpha asymmetry (FAA). Methods: The study used a 32-channel electroencephalography to acquire alpha power in 4 target-paired sites in each patient. Regional alpha asymmetry was calculated based on the alpha power using EEGLAB Frontal Alpha Asymmetry Toolbox. Results: Sixty schizophrenia patients with predominant negative symptoms (PNS), 72 stabilized schizophrenia (SS) patients, and 73 healthy control (HC) participants were enrolled in this study. No significant differences were observed in FAA between the PNS and SS groups, although both groups exhibited reduced P3-P4 alpha asymmetry compared to HCs. A positive correlation was found between F7-F8 alpha asymmetry and illness duration. Additionally, a predictive model based on P3-P4 alpha asymmetry scores was able to differentiate schizophrenia patients from HCs, achieving a sensitivity of 71.2% and a specificity of 72.6%. Conclusion This study highlighted that parietal alpha asymmetry could serve as a valuable diagnostic tool for schizophrenia.