This case report describes a 68-year-old male patient diagnosed with primary hepatocellular carcinoma (HCC). After receiving Yttrium-90 microsphere selective internal radiation therapy (⁹⁰Y-SIRT), the tumor significantly reduced in size, and tumor markers alpha fetoprotein (AFP) and abnormal prothrombin (PIVKA-Ⅱ) decreased. Postoperative pathological results showed minimal residual tumor cells, indicating that ⁹⁰Y-SIRT has good efficacy and safety in downstaging and conversion of HCC, thereby facilitating subsequent surgical resection.

AIM:To explore the relationship between the amplitude of diurnal variations in the choroidal vascular index(CVI)and annual changes in spherical equivalent(SE)and axial length in school-aged children.METHODS: Prospective study. Totally 39 cases(39 eyes)of Chinese school-age children aged 7 to 12 that diagnosed as emmetropia and myopia and error of refraction at optometry clinics of Eye Hospital, Wenzhou Medical University from July to August 2021 were selected. While 33 cases(33 eyes)were finally included, with 6 cases of loss to 1 a follow-up. A total of 16 cases(16 eyes)with annual growth of SE<0.5 D and 17 cases(17 eyes)with annual growth of SE≥0.5 D were divided into a non-progression group and progression group, respectively. Swept-source optical coherence tomography(SS-OCT)and custom choroidal analysis software were used to longitudinally observe diurnal variations in CVI of subjects, and the association between CVI diurnal amplitude and annual changes in SE and axial length was analyzed.RESULTS:It showed no significant correlation between the CVI diurnal amplitude at 1 mm from the fovea and annual changes in SE of the non-progressive group(P=0.65), while in the progression group, the CVI diurnal amplitude at 1 mm from the fovea was negatively correlated with annual changes in SE(P=0.048). However, no significant correlation was identified between CVI diurnal amplitude and annual changes in axial length in either group(all P>0.05). The diurnal amplitude of the CVI at the 1 mm foveal center had an effect on annual SE progression(P=0.039). Conversely, the diurnal amplitude of axial length, the annual changes in axial length, and the maximum or minimum time of CVI demonstrated significant associations with SE progression(all P> 0.05).CONCLUSION: Diurnal variations in CVI amplitude are associated with SE progression in school-aged children, providing a basis for further understanding the choroid-related changes in the process of myopia onset and progression.

INTRODUCTION: Elevated troponin, while essential for diagnosing myocardial infarction, can also be present in non-myocardial infarction conditions. The myocardial-ischaemic-injury-index (MI3) algorithm is a machine learning algorithm that considers age, sex and cardiac troponin I (TnI) results to risk-stratify patients for type 1 myocardial infarction. METHOD: Patients aged ≥25 years who presented to the emergency department (ED) of Singapore General Hospital with symptoms suggestive of acute coronary syndrome with no diagnostic 12-lead electrocardiogram (ECG) changes were included. Participants had serial ECGs and high-sensitivity troponin assays performed at 0, 2 and 7 hours. The primary outcome was the adjudicated diagnosis of type 1 myocardial infarction at 30 days. We compared the performance of MI3 in predicting the primary outcome with the European Society of Cardiology (ESC) 0/2-hour algorithm as well as the 99th percentile upper reference limit (URL) for TnI. RESULTS: There were 1351 patients included (66.7% male, mean age 56 years), 902 (66.8%) of whom had only 0-hour troponin results and 449 (33.2%) with serial (both 0 and 2-hour) troponin results available. MI3 ruled out type 1 myocardial infarction with a higher sensitivity (98.9, 95% confidence interval [CI] 93.4-99.9%) and similar negative predictive value (NPV) 99.8% (95% CI 98.6-100%) as compared to the ESC strategy. The 99th percentile cut-off strategy had the lowest sensitivity, specificity, positive predictive value and NPV. CONCLUSION The MI3 algorithm was accurate in risk stratifying ED patients for myocardial infarction. The 99th percentile URL cut-off was the least accurate in ruling in and out myocardial infarction compared to the other strategies.
Humans ; Male ; Female ; Emergency Service, Hospital ; Middle Aged ; Electrocardiography ; Machine Learning ; Singapore ; Chest Pain/blood* ; Troponin I/blood* ; Myocardial Infarction/blood* ; Risk Assessment/methods* ; Aged ; Algorithms ; Acute Coronary Syndrome/blood* ; Adult ; Sensitivity and Specificity

Research on IgG4-related disease (IgG4-RD), an autoimmune condition recognized to be a unique disease entity only two decades ago, has processed from describing patients' symptoms and signs to summarizing its critical pathological features, and further to investigating key pathogenic mechanisms. Challenges in gaining a better understanding of the disease, however, stem from its relative rarity-potentially attributed to underrecognition-and the absence of ideal experimental animal models. Recently, with the development of various high-throughput techniques, "omics" studies at different levels (particularly the single-cell omics) have shown promise in providing detailed molecular features of IgG4-RD. While, the application of omics approaches in IgG4-RD is still at an early stage. In this paper, we review the current progress of omics research in IgG4-RD and discuss the value of machine learning methods in analyzing the data with high dimensionality.
Humans ; Immunoglobulin G4-Related Disease/metabolism* ; Immunoglobulin G/metabolism* ; Machine Learning ; Animals ; Proteomics/methods*

Background With the progression of industrialization, an increasing number of emerging contaminants are entering aquatic environments, posing significant threats to the safety of drinking water. Therefore, establishing a system for identifying unknown hazardous factors and implementing safety warning mechanisms for drinking water is of paramount importance. Among these efforts, non-target screening plays a critical role, but its effectiveness is largely constrained by the scope of coverage of sample pre-treatment methods. Objective To integrate modern chromatography/mass spectrometry techniques with advanced data mining methods to develop a non-discriminatory sample pre-treatment method for comprehensive enrichment of unknown contaminants in drinking water, laying a technical foundation for the discovery and identification of unknown organic hazardous factors in drinking water. Methods A non-discriminatory pre-treatment method based on supramolecular and solid-phase extraction was developed. The final target compounds including 333 pesticides, 194 pharmaceuticals and personal care products (PPCPs), and 59 per- and polyfluoroalkyl substances (PFASs) were used for optimizing the pre-treatment method, confirming its coverage. The impacts of different eluents on the absolute recovery rates of target compounds were compared to select the conditions with the highest recovery for sample pre-treatment. The effects of different supramolecular solvents and salt concentrations on target compound recovery were also evaluated to determine the most suitable solvent and salt concentration. Results The solid-phase extraction elution solvents, supramolecular extraction solvents, and salt concentrations were optimized based on the target compound recovery rates. The optimal recovery conditions were achieved using 2 mL methanol, 2 mL methanol (containing 1% formic acid), 2 mL ethyl acetate, 2 mL dichloromethane, hexanediol supramolecular solvent, and 426 mg salt. The detection method developed based on these conditions showed a good linear relationship for all target compounds in the range of 0.1-100.0 ng·mL⁻¹, with R² > 0.99. The method’s limit of detection ranged from 0.01 ng⁻¹ to 0.95 ng⁻¹, and 95% of target compounds were recovered in the range of 20%-120%, with relative standard deviation (RSD) less than 30%, indicating good precision. Conclusion The combined pre-treatment method of solid-phase extraction and supramolecular solvent extraction can effectively enrich contaminants in drinking water across low, medium, and high polarities, enabling broad-spectrum enrichment of diverse trace contaminants in drinking water. It provides technical support for broad-spectrum, high-throughput screening and identification of organic pollutants in drinking water, and also serves as a reference for establishing urban drinking water public safety warning systems.

Objective:To translate the English version of the Beliefs Toward Mental Illness Scale (BTMI) into Chinese and test the reliability and validity of the Chinese version in college students.Methods:According to the Beaton cross-cultural adaptation guideline, the Chinese version of BTMI was formed. From April to May 2023, a questionnaire survey was conducted on 915 university students from 171 universities in 26 provinces, autonomous regions, and municipalities across China using convenience sampling, to analyze the reliability and validity of the scale.Results:A total of 915 questionnaires were distributed, and 814 valid questionnaires were collected, with an effective recovery rate of 88.96% (814/915). The Chinese version of BTMI had a total of 21 items. The Cronbach's α coefficient of the total scale was 0.922, and the Cronbach's α coefficients of each dimension were 0.745 to 0.921. The half reliability coefficient of the total scale was 0.797, and the retest reliability coefficient of the total scale was 0.903 ( P<0.01). Exploratory factor analysis extracted four common factors, namely social function, risk, incurability, and awkwardness, with a cumulative variance contribution rate of 62.29%. Confirmatory factor analysis showed that all important fitting indicators were greater than 0.900, indicating a good overall model fit. Conclusions:The Chinese version of BTMI has good reliability and validity, which can be used to evaluate the beliefs of Chinese university students about mental illness.

The peroxisome proliferator-activated receptor gamma(peroxisome proliferator-activated receptor gamma,coactivator 1 beta,PPARGC1B)gene is an intranuclear receptor transcription fac-tor responsible for regulating the expression of target genes.To comprehend the characteristics and mutations of the PPARGC1B gene within the Sichuan yak population,the SNP loci of the PPARGC1B gene were identified through direct sequencing of PCR products.Additionally,the cod-ing region of the PPARGC1B gene was obtained via PCR amplification and sequencing.Bioinforma-tics analyses were conducted to predict protein-coding and mRNA secondary structure.This study identified four exon SNP mutation sites(E9-189A→C,E9-387G→A,E9-542C→T,and E9-554T→C)based on the single nucleotide polymorphism analysis of the PPARGC1B gene in Sichuan yaks.Notably,the E9-387G→A and E9-554T→C loci exhibited significant correlations with shear force and backfat thickness in Sichuan yaks.Subsequently,bioinformatics analysis of the four mutation sites revealed that the PPARGC1B protein is an acidic,unstable,non-transmembrane,and non-secretory hydrophilic protein with a coiled helix structure.It lacks a signal peptide and transmembrane region,predominantly functions in the nucleus,and features 106 phosphorylation sites,one glycosylation site,and one conserved RRM structure.The secondary structure comprises mainly α-helix and random coils.Although the protein structure of the PPARGC1B gene remained unchanged post-mutation,there were significant differences in mRNA secondary structure.These findings suggest that the polymorphic loci of the PPARGC1B gene in Sichuan yaks could serve as a theoretical basis for enhancing meat quality traits through molecular biological methods,presen-ting practical applications in breeding.

The SNP loci of ACOX1 gene in 83 China Holstein cows were detected by PCR amplifica-tion and direct sequencing,and the association between the genetic polymorphism loci of ACOX 1 gene and milk quality traits of China Holstein cows was analyzed by SPSS 25.0 software.The re-sults showed that a SNP locus I3-2 267 G→C was found in the third intron of ACOX1 gene,it was moderately polymorphic and in Hardy Weinberg equilibrium in the population.By correlation anal-ysis,it was found that the SNP locus was significantly related to the somatic cell content and cor-rected milk quantity of dairy cows.The I3-2 267 G→C locus of ACOX1 gene can be used as a mo-lecular marker of quality traits of Holstein cows in China,and provide reference for the study of quality traits of Holstein cows in China.

The gene encoding regulatory subunit 15 A of protein phosphatase 1 produces a protein that is a universally present protein phosphatase in eukaryotic cells.In this study,genomic DNAs were extracted from the blood of 89 Chinese Holstein cows and were used as templates for PCR amplification of the target fragment of the PPP1R15A gene.The product was tested and a polymor-phic site,E3-250T＞A was found.The polymorphism of this side and its correlation with milk pro-duction traits in Chinese Holstein cattle were statistically analyzed using SPSS 23.0 software.The findings revealed three genotypes at this site:AA,AT and TT.Cows possessing the AT and TT genotypes exhibited significant differences(P＜0.01)in milk fat and solid non-fat content com-pared to those with the AA genotype.While no significant differences were noted for other milk production traits,including milk yield,protein,lactose,somatic cell count,blood urea nitrogen,and corrected milk.The identification of functional SNPs in the PPP1R15A gene provides a theoretical basis for further research and identification of causal variations in the cow PPP1R15A gene.

The aim of this study was to investigate the underlying mechanism of chrysophanol(Chr) in reducing inflammation and foam cell formation induced by oxidized low-density lipoprotein(ox-LDL) and to investigate the targets and pathways related to effects of Chr on coronary atherosclerosis, providing a theoretical basis for the development of new clinical drugs. RAW264.7 macrophages were cultured in vitro, and after determining the appropriate concentrations of Chr and ox-LDL for treating RAW264.7 macrophages using a cell counting kit-8(CCK-8), the macrophages were treated with different concentrations of Chr(10, 15 μmol·L~(-1)) and ox-LDL(with or without 80 mg·mL~(-1)) for 24 h. RAW264.7 macrophages were divided into four groups: control group, model group(80 mg·mL~(-1) ox-LDL), treatment group(80 mg·mL~(-1) ox-LDL+10 μmol·L~(-1) Chr), and treatment group(80 mg·mL~(-1) ox-LDL+15 μmol·L~(-1) Chr). Lipid accumulation in each group was detected by oil red O staining. CD36 expression was analyzed by flow cytometry. Western blot was used to detect the expression of scavenger receptor class A1(SR-A1), scavenger receptor class B type Ⅰ(SR-B1), autophagy-related protein 5(Atg5), Beclin-1, autophagy adaptor protein p62(P62), the ratio of microtubule-associated protein light chain 3(LC3)Ⅱ to LC3Ⅰ(LC3Ⅱ/LC3Ⅰ), nuclear factor kappa B P65(NF-κB P65), inhibitor of κB kinase β(IKKβ), nuclear factor of κB inhibitor(IκB), high mobility group box protein 1(HMGB1), phosphatidylinositol 3-kinase(PI3K), protein kinase B(Akt), and phosphorylated mammalian target of rapamycin(mTOR). Real-time quantitative polymerase chain reaction(RT-qPCR) was used to detect the mRNA expression levels of ATP-binding cassette transporter A1(ABCA1), ATP-binding cassette transporter G1(ABCG1), interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), HMGB1, inducible nitric oxide synthase(iNOS), arginase 1(Arg1), macrophage galactose-type lectin-1(Mgl-1), and NF-κB P65. Immunofluorescence analysis was performed to determine the localization of HMGB1 in RAW264.7 cells in each group. The autophagy inhibitor 3-methyladenine(3-MA) was added as a control for reverse validation, and the RAW264.7 macrophages were divided into four groups again: control group, model group(80 mg·mL~(-1) ox-LDL), treatment group(80 mg·mL~(-1) ox-LDL + 15 μmol·L~(-1) Chr), and inhibitor group(80 mg·mL~(-1) ox-LDL+15 μmol·L~(-1) Chr+3-MA). The results showed that Chr effectively reduced foam cell formation by regulating the expression levels of SR-A1, ABCA1, ABCG1, the LC3Ⅱ/LC3Ⅰ ratio, Atg5, Beclin-1, and p62, and inhibited the NF-κB/HMGB1-PI3K/Akt/mTOR signaling pathway. Moreover, the inhibitory effects of Chr on autophagy and the NF-κB/HMGB1-PI3K/Akt/mTOR pathway were reversed by the autophagy inhibitor 3-MA. In conclusion, Chr exhibits therapeutic potential for the treatment of atherosclerosis by inducing autophagy and modulating the NF-κB/HMGB1 and PI3K/Akt/mTOR pathways to inhibit the formation of macrophage inflammatory foam cells.
Animals ; Lipoproteins, LDL/metabolism* ; Mice ; TOR Serine-Threonine Kinases/genetics* ; Phosphatidylinositol 3-Kinases/genetics* ; Macrophages/cytology* ; RAW 264.7 Cells ; Proto-Oncogene Proteins c-akt/genetics* ; Signal Transduction/drug effects* ; NF-kappa B/genetics* ; Anthraquinones/pharmacology* ; Foam Cells/cytology* ; HMGB1 Protein/genetics* ; Humans