Objective To analyze the clinical efficacy of valve surgeries for infective endocarditis and the affecting factors, and compare the early- and long-term postoperative outcomes of different surgery approaches. Methods The patients with infective endocarditis who underwent valve replacement/valvuloplasty in our hospital from 2010 to 2022 were retrospectively collected. The clinical data of the patients were analyzed. Results A total of 343 patients were enrolled, including 197 patients with mechanical valve replacement, 62 patients with bioprosthetic valve replacement, and 84 patients with valvuloplasty. There were 238 males and 105 females with an average age of (44.2±14.8) years. Single-valve endocarditis was present in 200 (58.3%) patients, and multivalve involvement was present in 143 (41.7%) patients. Sixty (17.5%) patients had suffered thrombosis before surgery, including cerebral embolisms in 32 patients. The mean follow-up time was (60.6±43.8) months. Early mortality within one month after the surgery occurred in 17 (5.0%) patients, while later mortality occurred in 19 (5.5%) patients. Eight (2.3%) patients underwent postoperative dialysis, 13 (3.8%) patients suffered postoperative stroke, 6 patients underwent reoperation, and 3 patients suffered recurrence of infective endocarditis. Smoking (P=0.002), preoperative embolisms (P=0.001), duration of surgery (P=0.001), and postoperative dialysis (P=0.001) were risk factors for early mortality, and left ventricular ejection fraction ≥60% (P=0.022) was protective factor for early mortality. New York Heart Association classification Ⅲ-Ⅳ (P=0.010) and ≥3 valve procedures (P=0.028) were risk factors for late mortality. The rate of composite endpoint events was significantly lower in the valvuloplasty group than that in the valve replacement group. Conclusion For patients with infective endocarditis, smoking and preoperative embolisms are associated with high postoperative mortality, multiple-valve surgery is associated with a poorer prognosis, and valvuloplasty has advantages over valve replacement and should be attempted in the surgical management of patients with infective endocarditis.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

Perceptual decision making refers to the process by which individuals make choices and judgments based on sensory information, serving as a fundamental ability for human adaptation to complex environments. While traditional research has focused on perceptual decision making in isolated contexts, growing evidence highlights the profound influence of social contexts prevalent in real-world scenarios. As a crucial factor supporting individual survival and development, social context not only provides rich information sources but also shapes perceptual decision making through top-down processing mechanisms, prompting researchers to recognize the inherently social nature of human decisions. Empirical studies have demonstrated that social information, such as others’ choices or group norms, can systematically bias individuals’ perceptual decisions, often manifesting as conformity behaviors. Social influence can also facilitate performance under certain conditions, particularly when individuals can accurately identify and adopt high-quality social information. The impact of social context on perceptual decisions is modulated by a variety of external and internal factors, including group characteristics(e.g., group size, response consistency), attributes of peers (e.g., familiarity, social status, distinctions between human and artificial agents), as well as individual differences such as confidence, personality traits, and developmental stage. The motivations driving social influence encompass three primary mechanisms: improving decision accuracy through informational influence, gaining social acceptance through normative influence, and maintaining positive self-concept. Recent computational approaches have employed diverse theoretical frameworks to provide valuable insights into the cognitive mechanisms underlying social influence in perceptual decision making. Reinforcement learning models demonstrate how social feedback shapes future choices through reward-based updating. Bayesian inference frameworks describe how individuals integrate personal beliefs with social information based on their respective reliabilities, dynamically updating beliefs to optimize decisions under uncertainty. Drift diffusion models offer powerful tools to decompose social influence into distinct cognitive components, allowing researchers to differentiate between changes in perceptual processing and shifts in decision criteria. Collectively, these models establish a comprehensive methodological foundation for disentangling the multiple pathways by which social context shapes perceptual decisions. Neuroimaging and electrophysiological studies provide converging evidence that social context influences perceptual decision making through multi-level neural mechanisms. At early perceptual processing stages, social influence modulates sensory evidence accumulation in parietal cortex and directly alters primary visual cortex activity, while guiding selective attention to stimulus features consistent with social norms through attentional alignment mechanisms. At higher cognitive levels, the reward system (ventral striatum, ventromedial prefrontal cortex) is activated during group-consistent decisions; emotion-processing networks (anterior cingulate cortex, insula, amygdala) regulate experiences of social acceptance and rejection; and mentalizing-related brain regions (dorsomedial prefrontal cortex, temporoparietal junction) support inference of others’ mental states and social information integration. These neural circuits work synergistically to achieve top-down multi-level modulation of perceptual decision making. Understanding the mechanisms by which social context shapes perceptual decision making has broad theoretical and practical implications. These insights inform the optimization of collective decision-making, the design of socially adaptive human-computer interaction systems, and interventions for cognitive disorders such as autism spectrum disorder and anorexia nervosa. Future studies should combine computational modeling and neuroimaging approaches to systematically investigate the multi-level and dynamic nature of social influences on perceptual decision making.

As a serious cardiovascular disease, atherosclerosis (AS) causes chronic inflammation and oxidative stress in the body and poses a threat to human health. Lipoprotein-associated phospholipase A2 (Lp-PLA2) is a member of the phospholipase A2 (PLA2) family, and its elevated levels have been shown to contribute to AS. Lp-PLA2 is closely related to a variety of lipoproteins, and its role in promoting inflammatory responses and oxidative stress in AS is mainly achieved by hydrolyzing oxidized phosphatidylcholine (oxPC) to produce lysophosphatidylcholine (lysoPC). Moreover, macrophage apoptosis within plaque is promoted by localized Lp-PLA2 which also promotes plaque instability. This paper reviews those researches of Chinese medicine in treating AS via reducing Lp-PLA2 levels to guide future experimental studies and clinical applications related to AS.
Humans ; 1-Alkyl-2-acetylglycerophosphocholine Esterase ; Medicine, Chinese Traditional ; Atherosclerosis/drug therapy* ; Lipoproteins ; Plaque, Atherosclerotic ; Biomarkers

The irrational use of Chinese patent medicines （CPM） is becoming more and more prominent， which makes the demand for clinical practice guidelines of CPM gradually increase. In order to make domestic scholars understand the latest developments and existing problems of the CPM guidelines， and promote its development， this paper introduced the concept of CPM guidelines， summarized the characteristics of the two development modes， namely “taking CPM as the key” and “taking disease/syndrome as the key”， and analyzed the current methodological status of developing and reporting CPM guidelines. Based on the existed problems， three suggestions have been put forward to optimize the quality of CPM guidelines， which were clarifying the target users and scope of CPM guidelines， establishing an open and transparent mechanism of the personnel involvement and process steps， and formulating implementable and operable recommendations for the use of CPM.

The banana Fusarium wilt (BFW) caused by Fusarium oxysporum f. sp. cubense tropical race4 (FocTR4) is difficult to control worldwide, which causes a huge economic losse to banana industry. The purpose of this study was to screen Trichoderma strains with antagonistic activity against FocTR4, to isolate and purify the active compound from the fermentation broth, so as to provide important biocontrol strains and active compound resources. In this work, Trichoderma strains were isolated and screened from the rhizosphere soil of crops, and the strains capable of efficiently inhibiting FocTR4 were screened by plate confrontation, and further confirmed by testing inhibition for the conidial germination and mycelial growth of FocTR4. The phylogenetic tree clarified the taxonomic status of the biocontrol strains. Moreover, the active components in the fermentation broth of the strains were separated and purified by column chromatography, the structure of the most active component was analyzed by nuclear magnetic resonance spectroscopy (NMR), the BFW control effect was tested by pot experiments. We obtained a strain JSHA-CD-1003 with antagonistic activity against FocTR4, and the inhibition rate from plate confrontation was 60.6%. The fermentation broth of JSHA-CD-1003 completely inhibited the germination of FocTR4 conidia within 24 hours. The inhibition rate of FocTR4 hyphae growth was 52.6% within 7 d. A phylogenetic tree was constructed based on the ITS and tef1-α gene tandem sequences, and JSHA-CD-1003 was identified as Trichoderma brevicompactum. Purification and NMR identification showed that the single active compound was trichodermin, and the minimum inhibitory concentration (MIC) was 25 μg/mL. Pot experiments showed that the fermentation broth of strain JSHA-CD-1003 was effective against BFW. The control rate of leaf yellowing was 47.4%, and the rate of bulb browning was 52.0%. Therefore, JSHA-CD-1003 effectively inhibited FocTR4 conidial germination and mycelium growth through producing trichodermin, and showed biocontrol effect on banana wilt caused by FocTR4, thus is a potential biocontrol strain.
Fusarium ; Musa ; Phylogeny ; Trichodermin ; Hypocreales

Objective To detect the levels of serum collagen type Ⅰ alpha 1 chain(COL1A1)and collagen type Ⅰ alpha 2 chain(COL1A2)in patients with intracranial aneurysm(IA),and explore their correlations with aneurysm rupture.Methods A total of 110 IA patients admitted to our hospital were regarded as the IA group and another 100 volunteers who underwent physical examination in our hospital were regarded as the control group.The expression levels of serum COL1A1 and COL1A2 were detected by ELISA.The IA patients were divided into the ruptured group(n=66)and unruptured group(n=44)according to the presence or absence of aneurysm rupture,and the clinical data and expression levels of serum COL1A1 and COL1A2 were compared between the two groups.The expression levels of serum COL1A1 and COL1A2 in patients with different Hunt-Hess grades were compared.The risk factors of aneurysm rupture in patients with IA were analyzed by multivariate Logistic regression analysis.The predictive value of serum COL1A1 and COL1A2 for aneurysm rupture in patients with IA were evaluated by receiver operating characteristic(ROC)curve.The correlation of serum COL1A1 and COL1A2 with Hunt-Hess grade for patients in rupture group was analyzed by Spearman correlation analysis.Results The expression levels of serum COL1A1 and COL1A2 for patients in the IA group were significantly higher than those in the control group(P<0.05).The number of patients with hypertension,diabetes mellitus,hyperlipidemia,aneurysm diameter>10 mm,and the expression levels of serum COL1A1 and COL1A2 in the rupture group were significantly more/higher than those in the unruptured group(P<0.05).The expression levels of serum COL1A1 and COL1A2 in patients with Hunt-Hess grades from Ⅲ to Ⅳ were significantly higher than those in patients with grades from Ⅰ to Ⅱ(P<0.05).The expression levels of serum COL1A1 and COL1A2 for patients in the rupture group were positively correlated with Hunt-Hess grade(r=0.562,0.414,P<0.05).Multivariate Logistic regression analysis showed that hypertension,diabetes mellitus,aneurysm diameter>10 mm,and increased expression levels of COL1A1 and COL1A2 were risk factors for aneurysm rupture in IA patients(P<0.05).The area under the curve(AUC)of aneurysm rupture predicted by serum COL1A1 and COL1A2 together was significantly higher than that predicted by COL1A1 alone(Z=1.905,P=0.028)and COL1A2 alone(Z=1.754,P=0.040).Conclusion The increased expression levels of serum COL1A1 and COL1A2 are risk factors for aneurysm rupture in patients with IA,and their combined prediction of aneurysm rupture in IA patients has certain clinical value.

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Objective:To explore the the evaluation value of stress hyperglycemia ratio (SHR), C-reactive protein (CRP), and serum procalcitonin (PCT) for postoperative infection in patients with open tibiofibular fractures.Methods:This study was a prospective analysis. Patients with open tibiofibular fractures hospitalized in the Department of Orthopaedic Surgery of The Second Hospital of Tangshan and North China University of Science and Technology Affiliated Hospital from January 2018 to January 2023 were collected as the research objects, and a total of 839 cases were assessed for outcome, which were divided into infection group (103 cases) and non-infection group (736 cases) according to whether the selected subjects had postoperative infection. The clinical data of the two groups were analyzed by univariate analysis, and the risk factors of postoperative infection of open fracture of tibia and fibula were analyzed by multivariate Logistic regression, and the receiver operating characteristic (ROC) curve was drawn to analyze the predictive efficacy of SHR, CRP, PCT, and their combined models on adverse outcomes.Results:Univariate analysis showed that the infection group had SHR (1.82±0.31), CRP (92.28±36.07) mg/L, PCT (6.35±1.79) μg/L, the non infection group had (1.05±0.12), (56.35±10.21) mg/L and (2.17±0.41) μg/L, respectively, and there were significant differences between the two groups ( t values were 46.90, 21.60, and 54.17, respectively; all P<0.001). The proportion of albumin (<30 g/L) in the infection group was higher than that in the non-infection group (63.11%(65/103), 37.64%(277/736) (χ 2=24.28, P<0.001), and the two groups had significant differences in the rate of time from injury to operation (the infection group ≥6 h was 71.84%(74/103), <6 h was 28.16%(29/103); the non-infection group ≥6 h was 43.07%(317/736), <6 h was 56.93%(419/736); χ 2=35.37, P<0.001), the rate of Gustilo-Anderson classification (the infection group Ⅰ、Ⅱ was 44.46%(46/103), ⅢA was 33.98%(35/103), ⅢB was 12.62%(13/103), ⅢC was 8.47%(9/103);the non-infection groupⅠ、Ⅱ was 59.10%(435/736), ⅢA was 32.47%(239/736), ⅢB was 5.98%(44/736), ⅢC was 2.45%(18/736); χ 2=20.34, P<0.001) and the rate of postoperative drainage volume (the infection group was 40.60%(48/103),the non-infection group was 58.02%(427/736); χ 2=4.79, P=0.029). Multivariate Logistic regression analysis showed that SHR ( OR=1.871,95% CI 1.621-2.160, P<0.001), CRP ( OR=1.060, 95% CI 1.015-1.107, P=0.009), PCT ( OR=1.497, 95% CI 1.420-1.577, P<0.001) were independent risk factors for postoperative infection in open tibiofibular fractures. Among them, SHR had the highest OR value, which was the strongest factor affecting the outcome of the study. Other independent factors were age ( OR=1.052, 95% CI 1.038-1.066, P<0.001) and Gustilo-Anderson type-ⅢC ( OR=1.875, 95% CI 1.038-2.015, P<0.001). By drawing the ROC curve of SHR, CRP, PCT and their combined model to predict the incidence of postoperative infection in open tibiofibular fractures, the results showed that the combined model had higher diagnostic predictive value than the single application, and its sensitivity and specificity were 86.4% and 70.4%, respectively, which were higher than the sensitivity (78.6%, 77.7%, 75.7%) and specificity (69.2%, 69.3%, 69.6%) of the single assessment. Conclusion:The combined model of SHR, CRP and PCT has a higher predictive value than the single detection, which can provide a better clinical basis for the early diagnosis of postoperative infection in patients with open tibiofibular fractures.