Objective To explore risk factors of sodium-dependent glucose transporters 2 （SGLT2） inhibitor-associated euglycemic diabetic ketoacidosis （euDKA） and to construct a risk prediction model. Methods A retrospective analysis was performed on the clinical data of type 2 diabetes patients treated with SGLT2 inhibitors in Dongnan Hospital of Xiamen University from January 2020 to December 2023, including age, gender and course of diabetes. The risk factors of SGLT2 inhibitor-associated euDKA were analyzed by univariate analysis and multivariate Logistic regression, and a prediction model was established. According to the receiver's operating characteristic （ROC） curve, the area under the curve （AUC） and the optimal critical value of the prediction model were determined. The prediction model was subjected to both internal and external validation. Results A total of 119 patients with type 2 diabetes treated with SGLT2 inhibitors were included in this study. Among them, there were 98 cases without euDKA （non-euDKA group）and 21 cases with euDKA （euDKA group）. Multivariate Logistic regression analysis showed the DKA history (OR=114.153), appetite or diet decreased three days before admission (OR=21.774), elevated neutrophil count (OR=2.056) and pre-hospital adjustment of hypoglycemic agents (OR=45.745) were independent factors to increase risks of euDKA associated with SGLT2 inhibitors （P<0.05）. Surgical history before admission was an independent factor to reduce this risk （OR=0.007, P<0.05）. By establishing the calculation formula of the prediction model = neutrophil count+6.571 （DKA history）−6.874 （surgical history before admission）+4.273 （appetite or diet decreased three days before admission）+5.302 （pre-hospital adjustment of hypoglycemic drugs）, the ROC curve was drawn. The AUC of the ROC of the prediction model was 0.982 （95%CI: 0.961-1.000, P<0.001）, with accuracy of 94.96%, sensitivity of 0.905, specificity of 0.959 and a critical value of 7.405. The AUC of ROC curve after the model’s ten-fold cross validation was 0.930. And the accuracy of the external validation of the prediction model was 85.29%. Conclusion The DKA history, appetite or diet decreased three days before admission, elevated neutrophil count and pre-hospital adjustment of hypoglycemic agents increased the risk of SGLT2 inhibitor-associated euDKA, while the surgical history before admission reduced this risk. The risk prediction model constructed on this basis could better predict the risk of SGLT2 inhibitor-associated euDKA.

Objective To investigate the effects of fractionated low-dose ionizing radiation (LDIR) on the ferroptosis in human bronchial epithelial (HBE) cells as well as the associated differentially expressed genes (DEGs), biological processes, and signaling pathways. Methods HBE cells were exposed to different single doses of X-ray irradiation (0, 25, 50, 75, and 100 mGy) for 24, 48, and 72 h, respectively. The change in cell viability was detected by MTT assay. Cells were irradiated with 0, 25, 50, and 100 mGy X-rays 5 times, with 48 h between each irradiation and a dose rate of 50 mGy/min. Cells were harvested 24 h after irradiation for the measurement of the expression of ferroptosis-related genes SLC7A11 and GPX4 at the mRNA and protein levels, cellular iron content, and the expression of FTH1 and FTL mRNAs. High-throughput sequencing was used to screen for the DEGs in each dose group, followed by Gene Ontology-Biological Process (GO-BP) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Gene Set Enrichment Analysis (GSEA). Results Compared with the control group, single-dose LDIR significantly increased cell proliferation at 75 mGy after 24 h (P < 0.05), at 50, 75, and 100 mGy after 48 h (P < 0.05), and at 75 and 100 mGy after 72 h (P < 0.05). Compared with the control group, at the end of the fifth fractionated LDIR, SLC7A11 and GPX4 mRNAs decreased at all doses (P < 0.05), SLC7A11 protein decreased at all doses, GPX4 protein decreased at 25 and 100 mGy, iron content increased at all doses, and FTH1 and FTL mRNAs decreased at all doses (P< 0.05). Sequencing analysis identified 248, 30, and 291 DEGs and 10, 2, and 9 ferroptosis-associated genes at the three doses compared to the control. Gene Ontology-Biological Process analysis showed that DEGs were mainly enriched in biological processes such as response to lipids, cell death, and response to unfolded proteins. Kyoto Encyclopedia of Genes and Genomes analysis showed that DEGs were mainly enriched in the JAK-STAT signaling pathway, lipids and atherosclerosis, ferroptosis, protein processing in the endoplasmic reticulum, and FoxO signaling pathway. Gene set enrichment analysis showed that DEGs were mainly enriched in ferroptosis, fatty acid degradation, and glutathione metabolism. Conclusion Fractionated low-dose radiation induced ferroptosis in HBE cells, and DEGs were predominantly enriched in biological processes and signaling pathways related to inflammation, ferroptosis, and endoplasmic reticulum stress.

Background In recent years, the increasingly widespread application of nuclear and medical radiation technologies has resulted in a large number of occupational populations exposed to low-dose ionizing radiation (LDIR). At present, there is no consistent conclusion on the effects of long-term exposure to LDIR on the metabolic health of the occupational population. Objective To explore the association between long-term exposure to LDIR and metabolic syndrome (MetS) among medical radiologists. Methods A cross-sectional study was conducted to enroll 6431 medical radiologists who ordered occupational health checkups from January 2022 to December 2023, and basic information such as demographic characteristics, occupational characteristics, lifestyles, and dietary habits was collected through questionnaires. Physical examinations were conducted using a standardized protocol. Individual dose equivalents of occupational external exposure were monitored by dosimeters worn by medical radiologists. Logistic regression model was used for identifying influencing factors of MetS and sensitivity analysis, and restricted cubic spline model was used to explore the dose-response relationship between cumulative effective dose and MetS. Two-stage linear regression was used to evaluate threshold effect of association between cumulative effective dose and MetS. Results The positive rate of MetS was 13.6% (877/6431) among the enrolled 6431 study participants. The logistic regression showed that gender, age, monthly income, body mass index (BMI), cumulative effective dose, and smoking were influencing factors for MetS. The risk of MetS was higher in males (OR=1.511, 95%CI: 1.209, 1.888); using the < 30 years old group as reference, the risk of MetS was higher in the 30-39 years old (OR=1.509, 95%CI: 1.095, 2.079), 40-49 years old (OR=2.214, 95%CI: 1.551, 3.161), and ≥50 years old (OR=3.480, 95%CI: 2.338, 5.181) groups; using the <10000 yuan group as reference, the risk of MetS was lower in the group with a monthly income of 10000-14999 yuan (OR=0.715, 95%CI: 0.582, 0.878); the risk of MetS was higher in the BMI ≥ 24 kg·m⁻² group (OR=7.548, 95%CI: 6.223, 9.156); using the < 0.76 mSv group as reference, the risk of MetS was higher in the cumulative effective dose of 0.76-2.73 mSv group (OR=1.270, 95%CI: 1.017, 1.586); the risk of MetS was higher in the smoking group (OR=1.734, 95%CI: 1.428, 2.107). The results of restricted cubic spline showed that the cumulative effective dose was nonlinearly correlated with MetS (P _{non-linearity}=0.028), with an inflection point of 1.25 mSv. The risk of developing MetS increased by 34.1% for each unit increase in cumulative effective dose up to 1.25 mSv, whereas above 1.25 mSv, the statistical association was not significant. The sensitivity analysis results showed that after excluding the self-reported hypertensive and diabetic patients, the cumulative effective dose 0.76-2.73 mSv group still had an increased risk of developing MetS compared with the < 0.76 mSv group (P < 0.05), and the results were robust. Conclusion Among medical radiologists, male, age, BMI, and smoking are positively correlated with MetS, and monthly income is negatively correlated with MetS; cumulative effective dose is non-linearly correlated with MetS among medical radiologists.

Objective To investigate the induction of senescence in L02 hepatocytes by low-dose fractionated X-ray radiation and its effects on oxidative stress, oxidative damage, and nuclear factor-κB (NF-κB) pathway protein levels. Methods L02 cells were subjected to fractionated X-ray irradiation at doses of 0.1, 0.2, and 0.5 Gy per fraction for a total of six fractions. Assays were performed 24 hours after the final irradiation. Measurements included SA-β-gal staining, the mRNAs of senescence-related genes p53 and p21 and their encoded proteins, mRNAs of genes encoding senescence-associated secretory phenotype factors (IL-6, IL-8, GM-CSF, MMP-15), reactive oxygen species, oxidative and anti-oxidative markers (malondialdehyde, glutathione, superoxide dismutase), DNA oxidative damage markers (8-OHdG and γ-H2AX), and NF-κB pathway protein levels. Results Compared with the control group, at 24 hours after the end of six irradiations, the number of cells positive in SA-β-gal staining was significantly increased in all dose groups. The mRNA and protein levels of p21 and p53 were significantly elevated in the 0.2 Gy × 6 and 0.5 Gy × 6 groups (P < 0.05). The mRNA levels of genes encoding IL-6, GM-CSF, and MMP-15 were significantly increased in all dose groups (P < 0.05). The mRNA levels of the gene encoding IL-8 were significantly increased in the 0.2 Gy × 6 and 0.5 Gy × 6 groups (P < 0.05). The levels of reactive oxygen species, malondialdehyde, and glutathione were significantly increased in all dose groups (P < 0.01). The level of superoxide dismutase was significantly increased in the 0.5 Gy × 6 group (P < 0.01). The levels of 8-OHdG were significantly increased in all dose groups (P < 0.05). In both the 0.2 Gy × 6 and 0.5 Gy × 6 groups, the expression levels of γ-H2AX and p-NF-κB p65 were significantly increased (P < 0.05), and the levels of IκBα were significantly decreased (P < 0.05). Conclusion Low-dose fractionated X-ray radiation can induce senescence and cause alterations in oxidative stress, oxidative damage, and the levels of NF-κB pathway proteins in L02 hepatocytes.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

Objective:To investigate the inflammatory indicator levels and influencing factors on middle-aged and elderly male residents at different residential distances from a uranium mine in Guangdong, so as to provide scientific data for the health risk assessment of the residents therein.Methods:With stratified sampling method, two groups of the permanent middle-aged and elderly male residents were randomly sampled within < 10 km and 10-20 km of the uranium mine, along with the basic demographic characteristics and lifestyle information collected through face-to-face questionnaire survey. Both height and weight of the respondents were measured using standard method and their body mass indexes (BMI) were calculated. Through collection of the venous blood, the levels of a wide range of inflammatory indicators were measured, such as C-reactive protein (CRP), complement C3, complement C4, leukocytes, lymphocytes, neutrophils, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and others. Multiple linear regression was used to analyze the influencing factors on the levels of inflammation indicators.Results:A total of 867 middle-aged and elderly male residents were included in this study, including one group of 431 residents within the 10-20 km at an average age of 51.54±5.37, and a second group of 436 residents within <10 km at an average age of 52.05±5.24. The result of multiple linear regression showed a positive correlation of the distance groups with complement C4 level ( β=0.014, 95% CI: 0.001-0.027) and lymphocyte number ( β=0.086, 95% CI: 0.003-0.168) ( t=2.07, 2.04, P<0.05). The ages of middle-aged and elderly male residents around the uranium mine was positively correlated ( t=2.50, P<0.05) with the levels of complement C4 ( β=0.018, 95% CI: 0.004-0.031), and negatively correlated ( t=-3.25, -2.97, P<0.05) with the levels of TNF-α ( β=-63.022, 95% CI: -101.114 to -24.929) and IL-6 ( β=-14.694, 95% CI: -24.396 to -4.992). Smoking was positively correlated ( t=4.29, 4.81, 3.19, P<0.05) with leukocytes number ( β=0.630, 95% CI: 0.341-0.918), lymphocytes number ( β=0.226, 95% CI: 0.134-0.319) and neutrophils number ( β=0.372, 95% CI: 0.143-0.601), and negatively correlated ( t=-2.07, -1.98, P<0.05) with the levels of TNF-α ( β=-43.551, 95% CI: -84.778 to -2.324) and IL-6 ( β=-10.603, 95% CI: -21.103 to -0.102). BMI was positively correlated ( t=8.60, 3.62, 3.18, 4.01, 2.10, P<0.05) with complement C3 level ( β=0.108, 95% CI: 0.084-0.133), complement C4 level ( β=0.026, 95% CI: 0.012-0.039), leukocytes number ( β=0.433, 95% CI: 0.166-0.699), lymphocyte number ( β=0.175, 95% CI: 0.089-0.261), and neutrophil number ( β=0.226, 95% CI: 0.014-0.438). Fruit consumption ( β=0.017, 95% CI: 0.001-0.034) was positively correlated with complement C4 levels ( t=2.10, P<0.05). Conclusions:This study showed no significant correlation between the inflammatory index levels of middle-aged and elderly male residents around the uranium mine and uranium mining. Age, smoking, BMI and fruit consumption were the influencing factors on the levels of inflammatory indicators of middle-aged and elderly male residents.

Objective:To investigate differential gene expression, enriched biological processes, and pathway differences between residents of a high-background radiation area (HBRA), Yangjiang, and a control area—Enping.Methods:Seven residents were selected from the HBRA (the HBRA group) and seven from the control area (the control group) using the two-stage random sampling method. The cumulative radiation dose for each individual was calculated based on the ambient gamma exposure levels. Peripheral blood samples were collected and analyzed via high-throughput sequencing to identify differentially expressed genes. Subsequent analyses included gene ontology (GO) for biological process (BP), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA).Results:The median ages of the HBRA and control groups had no statistically significant difference ( P = 0.370). The cumulative external doses for the HBRA and control groups were (99.59±20.07) and (33.82±10.61) mSv, respectively. This difference was statistically significant ( t = -5.88, P = 0.001). High-throughput sequencing identified 1 224 differentially expressed genes in the HBRA group, including 32 senescence-related genes, compared to the control group. The result of GO-BP analysis showed that these genes were predominantly enriched in cell signaling, biosynthesis, localization, cell cycle regulation, and cellular stress responses. KEGG analysis revealed significant enrichment in the chemokine and MAPK signaling pathways, as well as in pathways related to the cell cycle, autophagy, and mitophagy. Furthermore, GSEA analysis confirmed that the differentially expressed genes were mainly related to cell cycle regulation and mitochondrial functions. Conclusions:Differentially expressed mRNAs are found in the peripheral blood of residents in the HBRA. These mRNAs are predominantly associated with key biological processes and pathways, including cell cycle regulation, chemokine and MAPK signaling pathways, and mitophagy.

ObjectiveTo investigate the changes in coagulation system in acute decompensated cirrhosis （ADC） patients with or without sepsis and the association of these changes with short-term prognosis. MethodsA prospective study was conducted among 116 ADC patients who were hospitalized in Nanfang Hospital from January 2021 to July 2023， among whom there were 86 patients with sepsis and 30 patients without sepsis， and 54 patients with sepsis alone who had no chronic liver disease were enrolled as control group. Thromboelastography （TEG） and other conventional coagulation parameters were used to comprehensively evaluate the coagulation function of patients. The data including TEG results and short-term prognosis were collected， and a correlation analysis was performed. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. The Spearman correlation coefficient was calculated to investigate the correlation between different variables. The Logistic regression model was used to perform the univariate and multivariate analyses. ResultsFor the ADC patients with sepsis， the lungs and bloodstream were the main infection sites， and bacteria were the main pathogenic microorganism. TEG results showed that compared with the patients with sepsis alone， the patients with ADC and sepsis had a significant reduction in median maximum amplitude （MA）， a significant increase in coagulation time （K time）， and a significant reduction in α angle （all P<0.05）； the patients with ADC and sepsis had a significantly longer reaction time （R time） than those with ADC alone （P=0.02）， and the patients with sepsis alone had a significantly longer R time than those with ADC and sepsis （P=0.04）. There was no correlation between MA and platelet count in the patients with ADC and sepsis （r=-0.133， P=0.057）， while there was a significant correlation between MA and platelet count in the patients with sepsis alone （r=0.595， P=0.001）. SOFA score was negatively correlated with MA in sepsis patients with or without ADC （r=-0.503 and -0.561， both P<0.001）， and for the patients with ADC and sepsis， R time， K time， and α angle were weakly correlated with SOFA score and had a relatively strong correlation with APTT （all P<0.05）. The patients with ADC alone all survived within 90 days， and compared with the death group， the patients with sepsis alone who survived had significantly higher values of MA and α angle （all P<0.05）； there was a significant difference in α angle on day 90 between the survival group and the death group， no matter whether the patients were comorbid with ADC or not （both P<0.01）， while for the patients with ADC and sepsis， there was no significant difference in MA value on day 90 between the survival group and the death group （P>0.05）. ConclusionFor ADC patients comorbid with sepsis， coagulation function assessment and monitoring should be taken seriously in clinical practice， and TEG parameters and SOFA score should be monitored when necessary to develop individualized treatment regimens.

Radiation-induced thrombocytopenia (RIT) faces a perplexing challenge in the clinical treatment of cancer patients, and current therapeutic approaches are inadequate in the clinical settings. In this research, oxymatrine, a new molecule capable of healing RIT was screened out, and the underlying regulatory mechanism associated with magakaryocyte (MK) differentiation and thrombopoiesis was demonstrated. The capacity of oxymatrine to induce MK differentiation was verified in K-562 and Meg-01 cells in vitro. The ability to induce thrombopoiesis was subsequently demonstrated in Tg (cd41:enhanced green fluorescent protein (eGFP)) zebrafish and RIT model mice. In addition, we carried out network pharmacological prediction, drug affinity responsive target stability assay (DARTS) and cellular thermal shift assay (CETSA) analyses to explore the potential targets of oxymatrine. Moreover, the pathway underlying the effects of oxymatrine was determined by Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, Western blot (WB), and immunofluorescence. Oxymatrine markedly promoted MK differentiation and maturation in vitro. Moreover, oxymatrine induced thrombopoiesis in Tg (cd41:eGFP) zebrafish and accelerated thrombopoiesis and platelet function recovery in RIT model mice. Mechanistically, oxymatrine directly binds to toll-like receptor 2 (TLR2) and further regulates the downstream pathway stimulator of interferon genes (STING)/nuclear factor-kappaB (NF-κB), which can be blocked by C29 and C-176, which are specific inhibitors of TLR2 and STING, respectively. Taken together, we demonstrated that oxymatrine, a novel TLR2 agonist, plays a critical role in accelerating MK differentiation and thrombopoiesis via the STING/NF-κB axis, suggesting that oxymatrine is a promising candidate for RIT therapy.