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.

Brain age prediction, as a significant approach for assessing brain health and early diagnosing neurodegenerative diseases, has garnered widespread attention in recent years. Electroencephalogram (EEG), an non-invasive, convenient, and cost-effective neurophysiological signal, offers unique advantages for brain age prediction due to its high temporal resolution and strong correlation with brain functional states. Despite substantial progress in enhancing prediction accuracy and generalizability, challenges remain in data quality and model interpretability. This review comprehensively examined the advancements in EEG-based brain age prediction, detailing key aspects of data preprocessing, feature extraction, model construction, and result evaluation. It also summarized the current applications of machine learning and deep learning methods in this field, analyzed existing issues, and explored future directions to promote the widespread application of EEG-based brain age prediction in both clinical and research settings.
Humans ; Electroencephalography/methods* ; Brain/physiology* ; Machine Learning ; Aging/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

BACKGROUND: It is inaccurate to reflect the level of dust exposure through working years. Furthermore, identifying a predictive indicator for lung function decline is significant for coal miners. The study aimed to explored whether club cell secretory protein (CC16) levels can reflect early lung function changes. METHODS: The cumulative respiratory dust exposure (CDE) levels of 1,461 coal miners were retrospectively assessed by constructed a job-exposure matrix to replace working years. Important factors affecting lung function and CC16 were selected by establishing random forest models. Subsequently, the potential of CC16 to reflect lung injury was explored from multiple perspectives. First, restricted cubic spline (RCS) models were used to compare the trends of changes in lung function indicators and plasma CC16 levels after dust exposure. Then mediating analysis was performed to investigate the role of CC16 in the association between dust exposure and lung function decline. Finally, the association between baseline CC16 levels and follow-up lung function was explored. RESULTS: The median CDE were 35.13 mg/m³-years. RCS models revealed a rapid decline in forced vital capacity (FVC), forced expiratory volume in the first second (FEV₁), and their percentages of predicted values when CDE exceeded 25 mg/m³-years. The dust exposure level (<5 mg/m³-years) causing significant changes in CC16 was much lower than the level (25 mg/m³-years) that caused changes in lung function indicators. CC16 mediated 11.1% to 26.0% of dust-related lung function decline. Additionally, workers with low baseline CC16 levels experienced greater reductions in lung function in the future. CONCLUSIONS CC16 levels are more sensitive than lung indicators in reflecting early lung function injury and plays mediating role in lung function decline induced by dust exposure. Low baseline CC16 levels predict poor future lung function.
Uteroglobin/blood* ; Humans ; Dust/analysis* ; Occupational Exposure/analysis* ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Lung Injury/chemically induced* ; Coal Mining ; Biomarkers/blood* ; China/epidemiology* ; Air Pollutants, Occupational ; Female

Astragalus membranaceus possesses the function of enhancing immunity, protecting the liver, diuretic, anti-aging, anti-stress, anti-hypertensive, and more extensive antibacterial effects. Polysaccharides, one kind of the major active ingredients of A. membranaceus, are considered to be responsible for their versatile use. Now, a systematic summary of research progress and prospects of polysaccharides from A. membranaceus polysaccharides (AMPs) is necessary to facilitate their further study and application. In this review, the optimal extraction methods, structural features, biological activities, and applications of AMPs were emphasized. The structure-activity relationships are also analyzed and elucidated. Solvent, ultrasonic, microwave, enzyme-assisted, ultra-high pressure, and combined methods have been used to extract AMPs. Among them, solvent extraction is the most commonly used method because it is simple and easy to operate, but the efficiency needs to be improved further. The ultra-high pressure method is the most efficient but has a low economic return. AMPs exhibited various bioactivities, including immunomodulation, antitumor, and antidiabete. The structure-activity relationships revealed that different structure configurations, chain conformations, and physical properties would have different bioactivities. However, the new method for purification of certain polysaccharides, detailed structure-activity relationships (SAR), mechanisms of bioactivities, and quality control of AMPs need to be extensively investigated.

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Objective To explore the advantages of combining small private online courses(SPOC)with artificial intelligence(AI)in radiology nursing teaching,in order to compensate for the shortcomings of traditional teaching models.Methods Eighty nursing students interning in the radiology department were randomly selected as research subjects and divided into an experimental group(SPOC+flipped classroom+AI-assisted teaching mode)and a control group(traditional teaching mode),with 40 students in each group.The effectiveness of the SPOC+flipped classroom+AI-assisted teaching mode was evaluated by comparing theoretical tests,nursing skills tests,self-learning ability assessments,and satisfaction with teaching modes between the two groups.Results The average scores of chapter tests,month-end assessments and graduation examinations in the experimental group were higher than those in the control group(P<0.001);The average scores of indwelling needle embedding,contrast agent injection,and contrast agent allergy treatment tests in the experimental group were higher than those in the control group(P<0.001);The online learning time,homework completion rate,and online test scores of the experimental group were higher than those in the control group(P<0.001);The overall satisfaction with the teaching mode was higher in the experimental group than in the control group,with statistically significant differences(P<0.001).Conclusion The SPOC+flipped classroom+AI-assisted teaching model possesses important advantages in the instruction of nursing the department of radiology,and provides strong support for the innovation and development of nursing education in the field.

Malignant tumors have become the main cause of human death.With the prolonged use of chemotherapeutic drugs during the treatment process,tumor cell resistance is also constantly increasing.long non-coding RNA(lncRNA)is an important mem-ber of the non-coding RNA family.Cancer susceptibility candidate 2(CASC2)is a type of long non-coding RNA,high expression of CASC2 can inhibit tumor cell development and reduce drug resistance of tumor cells by promoting apoptosis,regulating signaling path-ways,participating in cellular transmission pathways,competitively binding of miRNA,and changing the protein structure or functional status.This article will provide a comprehensive review of the regulatory effects and mechanism of lncRNA CASC2 on chemotherapy resistance in malignant tumors.

Objective To explore the computed tomography(CT)-specific imaging findings of extra-adrenal pheochromocytoma and their diagnostic value.Methods We retrospectively analyzed the clinical records of 83 patients with extra-adrenal pheochromocytoma.All patients underwent preoperative abdominal CT.We then assessed the relationship between tumor size and tumor cystic changes and between tumor CT features and clinical manifestations.Results The typical CT image of extra-adrenal pheochromocytoma is a round or oval mass with photoplastic margins and uneven density,enhanced marginal high-density areas with mostly central low-density necrotic areas,and a location beside large abdominal vessels.The occurrence of cystic changes in the tumor was significantly correlated with a large tumor size(P=0.001).Clinical manifestations such as abdominal discomfort and a history of hypertension were not significantly associated with tumor location or cystic changes(P>0.05).Severe intraoperative blood pressure fluctuations were associated with tumor location(P=0.020).Patients with larger tumors were more likely to have abdominal discomfort(P=0.032)and a history of hyper-tension(P=0.043).Conclusion CT is an important imaging modality for the localization and qualitative diagnosis of extra-adrenal phe-ochromocytomas and can improve the clinical diagnosis rate.

Objective To compare the contents of alkaloid in Aconiti Kusnezoffii Radix with different degrees of processing and their effects on electrocardiogram and vagus nerve action potential in SD rats;To establish a toxicity evaluation method for Aconiti Kusnezoffii Radix and its processed products.Methods HPLC was used to determine the contents of six alkaloid components,including benzoyl neoaconitine,benzoyl aconitine,benzoyl subeaconitine,neoaconitine,subeaconitine and aconitine in Aconiti Kusnezoffii Radix and Aconiti Kusnezoffii Radix Cocta of soaking and boiled for 30 minutes,boiled for 4 h without soaking,soaking and boiled for 4 h,and soaking and boiled for 8 h.SD rats were subjected to sublingual drainage with Aconiti Kusnezoffii Radix and four types of processed products.The vagus nerve action potential and electrocardiogram of rats before and after administration were recorded,and the correlation analysis between alkaloid content and vagus nerve action potential and heart rate was conducted.Results The contents of alkaloid of the four processed products showed that the content of diester alkaloids was soaking and boiled for 30 min>boiled for 4 h without soaking>soaking and boiled for 4 h>soaking and boiled for 8 h;monoester alkaloid content:boiled for 4 h without soaking>soaking and boiled for 30 min>soaking and boiled for 4 h>soaking and boiled for 8 h.After the administration of each sample,compared with the basal discharge,the vagus nerve discharge of rats with different processed products was changed by sublingual administration,heart rate increased,the degree of arrhythmia increased,and it varied with the degree of processing;the results of correlation analysis showed that there was a significant correlation between the nerve discharge area and the contents of diester alkaloids and total alkaloids.Conclusion The action potential of the vagus nerve and electrocardiogram of rats after sublingual drainage administration can reflect the degree of numbness in the tongue,which can provide reference for the study of tongue sensation of Aconiti Kusnezoffii Radix.

Occult breast cancer (OBC) refers to a type of breast cancer where no primary lesion is detected through physical examination, imaging, and pathology. This report presents a clinical case of OBC with intestinal obstruction as the initial symptom. A 67-year-old female with no underlying conditions presented to Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University with intestinal obstruction. Contrast-enhanced CT of the abdomen showed thickening of the lower rectum and ascending colon, suggestive of a neoplastic lesion. Chest CT showed multiple enlarged lymph nodes in the left axilla. Colonoscopy revealed only mucosal congestion, roughness, and thickening. Suspecting an intestinal tumor, laparoscopic radical resection of the rectal stenosis was performed. Postoperative pathology indicated poorly differentiated adenocarcinoma of the rectum. Immunohistochemistry showed positive expression of estrogen receptor (ER), progesterone receptor (PR), GATA-binding protein 3 (GATA3), and cytokeratin 7 (CK7), suggesting breast cancer metastasis. Breast MRI revealed multiple proliferative nodules in both breasts (breast imaging reporting and data system, BI-RADS 2). Biopsies of the right lower-inner breast, bilateral axillary, and supraclavicular lymph nodes were performed. No carcinoma was found in the right breast tissues; however, small foci of carcinoma was detected in the right axillary lymph nodes, and poorly differentiated carcinoma of suspected breast origin was found in the bilateral supraclavicular and left axillary lymph nodes. The final diagnosis was OBC with lymph node and rectal metastasis. The patient died 16 months postoperatively. OBC often lacks identifiable primary breast lesions, and gastrointestinal metastases are particularly rare. Clinical manifestations are frequently masked by symptoms of metastatic lesions, making diagnosis challenging. Clinicians should maintain a high index of suspicion. Due to rapid disease progression and multiorgan involvement, prognosis is extremely poor. Early identification of the primary lesion in OBC is crucial for improving outcomes.
Humans ; Female ; Aged ; Intestinal Obstruction/etiology* ; Breast Neoplasms/pathology* ; Adenocarcinoma/diagnosis* ; Neoplasms, Unknown Primary/complications* ; Rectal Neoplasms/complications*