AIM: To compare the refractive prediction accuracy of 7 intraocular lens(IOL)calculation formulas in the cataract eyes with short axial length(AL)at different corneal curvatures and anterior chamber depth(ACD), and analyze relevant influencing factors contributing to prediction errors.METHODS: A retrospective analysis was performed for 125 patients(125 eyes)with a short AL, who received cataract phacoemulsification at Shenyang He Eye Specialist Hospital from November 2020 to December 2021. According to the keratometry(Km), they were divided into low flat Km group(≤45.5 D), medium and high Km group(45.5 D

Objective: To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents. Methods: Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents. Results: The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01). Conclusions Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.

Objective: To investigate the expression of peroxiredoxin 4 (PRDX4) in oral squamous cell carcinoma (OSCC) and its effect on the proliferation, migration, and invasion of OSCC cells. Methods: The Cancer Genome Atlas(TCGA) database was used to analyze the expression of PRDX4 in OSCC. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) and Western Blot (WB) were used to detect the mRNA and protein expression of PRDX4 in OSCC cell lines and normal oral mucosal epithelial cells. PRDX4 was knocked down in CAL-27 cells and divided into two groups: the si-PRDX4 group and si-NC group. SCC-9 cells overexpressing PRDX4 were divided into two groups: the PRDX4 overexpression group (transfected with pcDNA3.1-PRDX4 plasmid) and the vector group (the control group; transfected with pcDNA3.1-NC plasmid). A cell counting kit-8 (CCK-8) and plate colony formation assay were used to detect cell proliferation. Transwell assay and cell scratch test were used to detect cell invasion and migration ability. WB was used to detect the effects of knockdown or overexpression of PRDX4, p38MAPK agonist or inhibitor on the expression of p38MAPK-related signaling pathway proteins, and epithelial mesenchymal transition proteins in OSCC cells. Results: PRDX4 was highly expressed in OSCC tissues and cell lines. The results of qRT-PCR and WB showed that PRDX4 was highly expressed in OSCC cell lines compared with normal oral mucosal epithelial cells. The CCK-8 assay showed that the si-PRDX4 group had significantly lower OD values than the si-NC group at 24, 48, and 72 h (P<0.05). The PRDX4 overexpression group had a significantly higher OD value than the vector group at 24, 48, and 72 h (P<0.05). The plate colony formation assay showed that the si-PRDX4 group had a significantly lower number of colonies than the si-NC group (P<0.05). The number of colonies formed in the PRDX4 overexpression group was significantly higher than that in the vector group (P<0.05). The cell scratch test showed that the wound healing area of the si-PRDX4 group was less than that of the si-NC group (P<0.05). The scratch healing area of the PRDX4 overexpression group was significantly higher than that of the vector group (P<0.05). The Transwell invasion assay showed that the number of transmembrane cells in the si-PRDX4 group was lower than that in the si-NC group (P<0.05). The number of transmembrane cells in the PRDX4 overexpression group was significantly higher than that in the vector group (P<0.05). The WB results showed that knockdown and overexpression of PRDX4 could downregulate and upregulate the expression of the p38MAPK signaling pathway and epithelial-mesenchymal transition related proteins, respectively, and the addition of p38MAPK agonist and inhibitor could significantly reverse the expression of related proteins. Conclusion PRDX4 is highly expressed in OSCC. Knocking down the expression of PRDX4 in OSCC cells can downregulate the expression of p38 MAPK signal axis and EMT-related signal proteins, thereby inhibiting the proliferation, migration, invasion, and epithelial-mesenchymal transition of cells.

Objective To understand the status of quality control in occupational medical examination (OME) institutions in Guizhou Province. Methods A total of 124 registered OME institutions actively conducting OME in Guizhou Province were selected as the study subjects using the judgment sampling method. The evaluation was conducted by on-site document reviews, practical skill assessments, and investigation of OME practices for quality evaluation and analyzing their quality control performance. Results The public institutions accounted for 71.0% with a 41.5% of OME workload, while private institutions accounted for 29.0% with a 58.5% of OME workload among these 124 OME institutions. The overall pass rate for quality evaluation of OME institutions was 16.9% (21/124), with a total of 1 296 items failed to pass the quality evaluation. Among the unqualified items, organizational structure, quality control management systems, OME quality control, and information reporting accounted for 15.2%, 21.7%, 52.8%, and 10.3%, respectively. The unqualified rate of quality assessment items of OME institutions was 24.5% (1 296/5 288), and the unqualified rate was lower in public institutions compared with private institutions (22.4% vs 29.3%, P<0.01). The rates of the three key unqualified items, including chest radiography conclusion evaluation, audiogram calculation and conclusion evaluation, and blood lead comparison were 9.8%, 74.8% and 71.4%, respectively. The rates of unqualified audiometry operation test and chief physician theory test were 74.8% and 9.7%, respectively. Conclusion The quality of OME institutions in Guizhou Province requires continuous improvement, particularly in enhancing the abilities of audiometry operation, calculating audiogram results and conducing right conclusion, and blood lead inter-laboratory comparision.

BACKGROUND:Anthocyanin is one of the most important active components in Lycium ruthenicum Murr,which has antioxidant and immunomodulatory effects.CD146+human adipose-derived pericytes/perivascular cells(CD146+hAD-PCs)are the progenitors of bone marrow mesenchymal stem cells,which can promote the proliferation and differentiation of hematopoietic stem/progenitor cells in vitro.The support effect of anthocyanin in combination with CD146+hAD-PCs on umbilical cord blood hematopoietic stem/progenitor cells remains to be studied. OBJECTIVE:To investigate the supporting effect of anthocyanins in Lycium ruthenicum Murr(ALRM)combined with CD146+hAD-PCs on umbilical cord blood CD34+hematopoietic stem/progenitor cells(UCB CD34+HSPCs)in vitro. METHODS:The CCK-8 assay was used to detect the effect of different concentrations(0,200,400,600,800,1 000 mg/L)of ALRM on the proliferation of CD146+hAD-PCs.Flow cytometry was used to detect the effect of ALRM on the cell cycle of CD146+hAD-PCs.The co-culture experiments were divided into blank group,ALRM group,CD146+hAD-PCs group,and ALRM+CD146+hAD-PCs group to analyze the in vitro supporting effect of ALRM combined with CD146+hAD-PCs on UCB CD34+HSPCs.The number of expanded cells and the number of colony-forming units were compared at 1,2,and 4 weeks of co-culture.The immunophenotype of cells was detected by flow cytometry.The level of cytokines was detected by enzyme-linked immunosorbent assay. RESULTS AND CONCLUSION:(1)The cell viability of CD146+hAD-PCs was highest at an ALRM concentration of 200 mg/L,the proportion of G0/G1 phase cells decreased and the proportion of S and G2/M phase cells increased in CD146+hAD-PCs(P<0.01).(2)The change in number of UCB CD34+HSPCs cells in the ALRM+CD146+hAD-PCs group was higher than that in the ALRM group at 1,2,and 4 weeks of co-culture(all P<0.05),and higher than that in CD146+hAD-PCs group at 2 and 4 weeks of co-culture(all P<0.05).The number of cells in the ALRM group and blank group decreased gradually with the extension of co-culture time.(3)Colony forming capacity and immunophenotype analysis:The number of colony-forming units in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group and ALRM group at 1 and 2 weeks of co-culture(P<0.05).The proportion of CD45+and CD34+CD33-cells in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group at 1 and 2 weeks of co-culture(all P<0.01).(4)Changes in cytokines:Interleukin-2 level in the ALRM+CD146+hAD-PCs group was higher than that in the ALRM and CD146+hAD-PCs groups(P<0.05).The interleukin-3 content of the ALRM+CD146+hAD-PCs group was higher than that of the CD146+hAD-PCs group at 2 and 4 weeks(P<0.05).The expression level of granulocyte colony-stimulating factor in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group at 1 week,and higher than that in the ALRM group and CD146+hAD-PCs group at 2 weeks(P<0.01).Interferon-γ content in the ALRM group and ALRM+CD146+hAD-PCs group was lower than that in the CD146+hAD-PCs group at 1,2,and 4 weeks of co-culture(P<0.01).(5)Due to the absence of stromal cells in the blank group,UCB CD34+HSPCs could not be counted after 1 week of co-culture and were not subjected to immunophenotyping,colony analysis,or cytokine assays.(6)In summary,ALRM can promote the expansion of UCB CD34+HSPCs in vitro by promoting CD146+hAD-PCs proliferation and cell cycle transformation,which is of great value in hematopoietic stem cell transplantation.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

ObjectiveTo analyze the characteristics and influencing factors of elderly hospitalized patients with carbapenem-resistant gram-negative bacillus (CRO) infection in the intensive care unit (ICU) of a gradeⅡ level A general hospital in Yangpu District of Shanghai, and to provide scientific basis for the prevention and control of hospital-acquired CRO infection in such hospitals. MethodsThe clinical data of elderly ICU patients (age ≥60 years) from January 2019 to December 2023 were retrospectively collected. A total of 122 cases with hospital-acquired CRO infection were used as the case group, and a total of 68 cases with carbapenem-sensitive gram-negative (CSO) infection were used as the control group. The clinical characteristics of the two groups were analyzed, and univariate analysis and logistic regression analysis were performed for screening for possible influencing factors on hospital-acquired CRO infection. ResultsThe main pathogens of CRO infection were carbapenem-resistant Acinetobacter baumannii (CRAB) (53 cases, 43.44%) and carbapenem-resistant Klebsiella pneumoniae (CRKP) (46 cases, 37.70%), and 17 patients (13.93%) had more than two types of CRO infection. Among the CRO infection, the main sites were lower respiratory tract infection (58 cases, 47.54%), ventilator-associated pneumonia (21 cases, 17.21%), and catheter-associated urinary tract infections (16 cases, 13.11%). The incidence rate of poor prognosis was higher in the CRO infection group (54.10%) than that in the CSO infection group (36.76%) (P=0.021). The results of univariate analysis showed that male, history of hospitalization within three months, chronic respiratory disease, hypoproteinemia, anemia, and history of invasive procedures prior to infection, including indwelling central venous catheter, invasive mechanical ventilation, urinary catheter, gastric tube placement and parenteral nutrition, in addition, heparin anticoagulation, the use of broad-spectrum penicillin, third-generation cephalosporins, fluoroquinolones, carbapenems, carbapenems combined with fluoroquinolones, carbapenems combined with glycopeptides, use of ≥3 antibiotics and long time of antibiotic use prior to infection were all associated with the CRO infection (P<0.05). The results of logistic regression analysis showed that use of carbapenems (OR=7.739, 95%CI: 2.226‒26.911), ≥3 types of antibiotics (OR=6.307, 95%CI: 1.674‒23.754), invasive mechanical ventilation (OR=4.082, 95%CI: 1.795‒9.281), urinary catheter (OR=3.554, 95%CI: 1.074‒11.758), and comorbid hypoproteinemia (OR=4.741, 95%CI: 2.039‒11.022) and diabetes (OR=3.245, 95%CI: 1.344‒7.839) were positively correlated with the risk of CRO infection. ConclusionConcurrent use of carbapenems with multiple other antibiotics, as well as the use of invasive mechanical ventilation, urinary catheter, and comorbid hypoproteinemia and diabetes, may be associated with an increased influencing of CRO infection. More attention should be paid to the prevention and control of infection in elderly patients with the above-mentioned risk factors, and active screening of drug-resistant bacteria should be strengthened. Besides, the rational use of broad-spectrum antibiotics such as carbapenems, avoiding unnecessary invasive operations, and paying attention to patient nutrition and blood glucose control all can reduce the incidence of CRO infection and help to improve clinical outcomes.

To explore the differences in biological gas production in the waterlogged zone of a coal seam fire-affected area, in this study the in-situ gas production experiment was conducted with the mine water from aquitard layers in coal seam fire zones in Xinjiang. The results showed that the biogas production first increased and then decreased with the increase in distance, and the highest gas production reached 216.55 mL. The changes in key metabolic pathways during the anaerobic fermentation of coal were analyzed, which showed that as the distance from the aquitard layer in the coal seam fire zone increased, the methanogenesis pathways gradually shifted from acetic acid decarboxylation and carbon dioxide reduction to acetic acid decarboxylation and methylamine methanogenesis. The significant variability in the in-situ mine water reservoir conditions contributed to the differences. In addition, the reservoir pressure and temperature increased as the distance from the fire zone became longer, and the salinity of the farthest mine water in the reverse fault was the highest due to the lack of groundwater supply. Pearson correlation analysis revealed significant correlations of microbial communities with key functional genes and the types and concentrations of ions. The ions significantly influencing microbial enzymatic metabolic activities included Al³⁺, Fe²⁺, Co²⁺, Ni²⁺, Cu²⁺, Zn²⁺, Mg²⁺, PO₄^3-, and Mo⁶⁺. The differences in metabolic pathways were attributed to the integrated effects of a co-occurring environment with multiple ions. The gas production simulation experiments and metagenomic analyses provide data support for the practical application of in-situ biogas experiments, laying a foundation for engineering applications.
Biofuels ; Coal ; Methane/biosynthesis* ; Fires ; Groundwater ; Coal Mining ; Fermentation ; China ; Anaerobiosis