Background Shift work is increasingly common in modern industries as economic globalization continues to advance, and has been associated with type 2 diabetes mellitus (T2DM). Objective To investigate the independent and interactive effects of shift work types and physical labor intensity on the risk of T2DM within an occupational cohort of petroleum workers, aiming to provide a scientific basis for reducing the risk of T2DM among workers engaged in shift work and physical labor. Methods This cohort study enrolled petroleum workers who underwent occupational health examinations at Karamay Central Hospital in Xinjiang from 2013 to 2015. Using stratified sampling, employees aged 20–60 years who had been actively employed and had been working in their current positions for at least one year were selected. A total of 3720 participants completed the baseline questionnaire survey and health examination, and follow-up was conducted in 2023. T2DM was diagnosed according to the 2020 Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes. Shift work type was categorized into fixed day shift, two-shift rotation, three-team two-shift rotation, four-team three-shift rotation, and other shift schedules. Physical labor intensity was classified as light, moderate, heavy, and extremely heavy according to the Classification of Physical Labor Intensity for Petroleum Field Operations (SY/T 6358—2008). Poisson regression models were used to estimate the associations of shift work type, physical labor intensity, and their joint exposure categories with T2DM risk after adjustment for potential confounders. Results A total of 3473 participants completed follow-up. Poisson regression analysis showed that shift work type was associated with T2DM risk. After adjustment for confounders, compared with fixed day shift workers, those engaged in two-shift rotation, three-team two-shift rotation, four-team three-shift rotation, and other shift schedules had higher risks of T2DM, with RRs of 2.17 (95%CI: 1.44, 3.27), 1.86 (95%CI: 1.16, 2.97), 1.85 (95%CI: 1.17, 2.93), and 2.15 (95%CI: 1.20, 3.88), respectively. T2DM risk also differed across physical labor intensity groups, with the extremely heavy group showing the highest risk (RR=2.26, 95%CI: 1.44, 3.56), followed by the heavy group (RR=1.91, 95%CI: 1.29, 2.82). Compared with workers exposed to fixed day shift + light intensity, increased T2DM risks were observed in those exposed to fixed day shift + heavy intensity (RR=2.38, 95%CI: 1.16, 4.72) or extremely heavy intensity (RR=2.64, 95%CI: 1.13, 5.82); two-shift rotation + light (RR=2.71, 95%CI: 1.11, 6.14), moderate (RR=3.38, 95%CI: 1.43, 7.34), heavy (RR=3.61, 95%CI: 1.52, 7.84), or extremely heavy intensity (RR=4.93, 95%CI: 1.87, 11.12); three-shift two-team rotation + light (RR=2.75, 95%CI: 1.14, 6.19), moderate (RR=3.08, 95%CI: 1.14, 7.51), or heavy/extremely heavy intensity (RR=4.06, 95%CI: 1.77, 8.50); four-shift three-team rotation + heavy/extremely heavy intensity (RR=3.89, 95%CI: 1.78, 7.84); and other shift types + heavy/extremely heavy intensity (RR=4.57, 95%CI: 1.55, 11.30). Conclusion This study demonstrates that various types of shift work significantly increase the risk of T2DM, and that concurrent exposure to high physical labor intensity exacerbates this risk. Regular blood glucose monitoring and targeted health interventions are recommended for workers exposed to rotating shift schedules and high physical work intensity.

Objective To investigate the effect of tritiated water on the immune system of zebrafish and its potential molecular mechanism. Methods Zebrafish embryos (2.5 to 3 hours post-fertilization [hpf]) were exposed to 3.7 × 10⁴ Bq/mL tritiated water (tritiated water group), and those exposed to E3 culture medium were used as the control group. The mortality rate, hatching rate, deformity rate, heart rate, body length, yolk sac area, neutrophil count in the tail, immune-related gene expression, and immune-related protein expression of zebrafish in the two groups were determined. Then transcriptome technology was used to further analyze the possible mechanism of tritiated water affecting the immune system of zebrafish. Results Compared with the control group, zebrafish at 72 hpf in the tritiated water group had no significant changes in the mortality rate, hatching rate, deformity rate, body length, and yolk sac area((t = 0.9045, 0.5000, 1.0000, 0.7238, 0.0337, P = 0.4169, 0.6433, 0.3739, 0.4785, 0.9735), but had significantly increased heart rate(t = 4.575，P = 0.002). At 4 days post-fertilization (dpf), the neutrophil count in the tail of zebrafish in the tritiated water group was significantly increased(t = 2.563，P = 0.0196), the mRNA expression of TNF-α was significantly decreased(t = 2.891, P = 0.045), the protein expression of nuclear factor-kappa B (NF-κB) was significantly increased(t = 3.848, P = 0.018), and the protein expression of NLRP3 was significantly decreased(t = 14.98, P = 0.001). At 7 dpf, the neutrophil count in the tail and the protein expression levels of NF-κB, NLRP3, and interleukin-1β were significantly decreased(t = 3.772, 7.048, 15.620, 4.423, P = 0.014, 0.002, 0.0001, 0.012). Transcriptome sequencing revealed that differentially expressed genes were mainly enriched in the “neutrophil activation” and “platelet activation pathways” at 4 dpf and in the “neutrophil apoptosis”, “ferroptosis”, and “necroptosis” pathways at 7 dpf. Conclusion Tritiated water exposure induces a temporally dynamic immune response in zebrafish, potentially affecting immune homeostasis by regulating neutrophil activation and apoptosis, as well as the expression of NF-κB and NLRP3.

Locally advanced non-small cell lung cancer (NSCLC) is a highly heterogeneous disease. For patients with driver gene-negative, unresectable NSCLC, traditional treatment primarily involves concurrent chemoradiotherapy. With the advent of the immunotherapy era, integrated treatment strategies combining concurrent chemoradiotherapy with immunotherapy have significantly improved therapeutic outcomes and substantially extended survival periods. This article summarizes the interaction mechanisms and clinical research progress of radiotherapy, chemotherapy, and immune checkpoint inhibitors in the treatment of NSCLC. This review also provides perspectives on the development of therapies in the future and predictive biomarkers, serving as a reference for treatment options for patients with unresectable locally advanced NSCLC.

Brain metastases are the most common intracranial tumors, and their incidence is increasing with the improvement of systemic treatments and survival rates. Optimal treatment usually requires a multidisciplinary approach, including radiotherapy, surgical resection, chemotherapy, targeted therapy, and immunotherapy. Stereotactic radiotherapy, compared to whole-brain radiotherapy, offers improved local control rates and reduced risk of neurocognitive impairment, and has become a new standard option for the treatment of brain metastases. Additionally, the widespread use of targeted and immune therapies in brain metastases has significantly improved the survival of some patients. This article reviews and integrates recent literature on the treatment of brain metastases and analyzes the role of stereotactic radiotherapy in comprehensive treatment, aiming to provide a reference for the selection of clinical treatment plans.

Objective:This study aimed to investigate the association between genetic factors and the risk of developing treatment-resistant depression (TRD), as well as the efficacy of modified electroconvulsive therapy (MECT), with a specific focus on identifying gene polymorphisms that can differentiate TRD from non-TRD.Methods:This case-control study included inpatients with depression in Adult Psychiatry Department, Affective Disorders Department and Geriatrics Department of Guangzhou Medical University Affiliated Brain Hospital from January 2023 to June 2024, as well as healthy individuals undergoing physical examinations in the outpatient department. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was utilized to genotype 16 loci across 10 candidate genes in 107 non-TRD patients, 101 TRD patients and 281 healthy controls. Hardy-Weinberg equilibrium testing, genotype frequency distribution analysis, and genetic association studies were conducted using PLINK software. Univariate binary logistic regression under a dominant model was performed using R software to analyze gene loci associated with non-TRD and TRD.Results:All 16 gene loci in the control group, the TRD group, and the non-TRD group were found to be in Hardy-Weinberg equilibrium ( P>0.05). No significant differences were observed in the genotype distribution of these gene loci across the groups ( P>0.05). Univariate binary logistic regression analysis revealed that individuals with depression carrying the HTR2A-rs7997012 G allele had a significantly lower risk of developing TRD ( OR=0.26, P=0.047). Among the patients receiving MECT, the proportion of G allele carriers who showed improvement at 2, 4, and 6 weeks of treatment was significantly higher compared to those who did not show improvement (96.61% vs. 80.95%, 96.55% vs. 50.00%, 96.59% vs. 46.15%, respectively), with χ2 values of 6.743, 29.295, and 32.300, respectively, and all P values <0.05. Conclusion:The HTR2A-rs7997012 polymorphism may represent a genetic distinction between TRD and non-TRD. Depressed patients with the rs7997012 G allele have a reduced likelihood of developing TRD, moreover, MECT demonstrates superior efficacy in this patient population.

Objective:To establish a genomic nucleic acid mass spectrometry detection platform for allelic risk associated with Alzheimer's disease.Methods:Whole blood samples of 61 patients diagnosed as Alzheimer's disease in the Affiliated Brain Hospital of Guangzhou Medical University from December 28th, 2023 to 31st, March 2024 were collected and deoxynucleic acid (DNA) was extracted, including 22 males and 39 females, aged (67.36 ± 8.18) years old. After screening out 17 risk gene loci in Chinese population, multiplex polymerase chain reaction primers, single-base extension primers and Sanger sequencing primers were designed. Ten samples were used for primer optimization and debugging through Sanger sequencing and time-of-flight mass spectrometry to establish a detection system. The remaining samples were genotyped using a time-of-flight mass spectrometer and verified by Sanger sequencing for accuracy evaluation. Five samples were selected for gradient dilution and then subjected to time-of-flight mass spectrometry detection to evaluate the detection limit. Three clinical samples, one case of Escherichia coli and one case of Staphylococcus aureus genomic DNA samples were selected for cross-reaction research. The anti-interference ability of the detection system was evaluated against hemolysis, chylous substances and conventional anticoagulants in the samples. Two samples, one wild and one homozygous mutation sample with representative peak shapes, were selected to evaluate the anti-interference ability. Four samples containing the common genotypes of all gene loci in the system were selected and repeated 10 times to evaluate the precision.Results:The minimum intensity of single-base extension primers on mass spectrometry is greater than half of the maximum intensity. All 17 risk gene loci screened were successfully typed. The time-of-flight mass spectrometry detection results of 1,037 loci from 61 samples showed that the genotyping detection rate was 100%. The genotypes of the 20 DNA samples were completely consistent with the results of Sanger sequencing, with an accuracy rate of 100%. The mass spectrometry detection results of five samples after gradient dilution indicated that the low detection limit was 5 ng of DNA. The reaction system has a strong anti-interference ability against hemolysis of samples, chylous substances, conventional anticoagulants and DNA cross-contamination. Homologous allele interference and no cross-reaction between the bacterial genome and 17 gene loci do not affect the risk genome detection results. The results of 10 repeated mass spectrometry tests on 4 samples showed that the precision was 100%.Conclusion:The genomic detection system of Alzheimer's disease risk has been successfully established to provide an auxiliary mean for disease diagnosis and risk assessment.

Objective:To explore the value of chromosomal microarray analysis (CMA) in the genetic diagnosis of different types of fetal growth restriction (FGR).Methods:A retrospective analysis was conducted on 120 cases who were diagnosed with FGR by ultrasound and underwent prenatal diagnosis at the Department of Obstetrics & Gynecology and Reproductive Medicine, Peking University First Hospital, from January 2016 to December 2021. The cases were divided into three groups based on the gestational age at the first diagnosis:<28 weeks (40 cases), 28-31 +6 weeks (65 cases), and ≥32 weeks (15 cases). They were also categorized into isolated and non-isolated FGR based on the presence of other ultrasound abnormalities (69 and 51 cases in each). Chromosomal karyotype analysis and CMA were conducted on all patients. The prenatal diagnosis results were analyzed, as well as the detection of chromosomal abnormalities in different gestational age groups and types of FGR. Statistical analysis was performed using Fisher's exact test. Results:(1) A total of 14 abnormalities were detected by CMA and four cases were detected by chromosomal karyotype analysis. The abnormal detection rate of CMA was higher than that of chromosomal karyotype analysis [11.7% (14/120) vs. 3.3% (4/120), P=0.025]. Among the total 14 cases of chromosomal abnormalities, there were seven pathogenic copy number variations (CNVs) and four variants of unknown significance (VUS), as well as two cases of trisomy-18 and one case of Turner syndrome. Among the 14 cases, eight had associated ultrasound abnormalities. Eleven of the 14 cases opted for induced abortion; three continued pregnancy to delivery, with two neonates showing no abnormalities and one exhibiting slightly delayed physical development. Both methods detected three cases of aneuploidy mnumber abnormalities (2.5%, 3/120) For chromosomal abnormalities <10 Mb, the detection rate of CMA was higher than that of chromosomal karyotype analysis [9.2% (11/120) vs. 0.8% (1/120), Fisher's exact, P=0.005]. Both methods detected one case of <10 Mb CNV, while CMA alone detected ten cases of <10 Mb microdeletions/microduplications (8.3%, 10/120), including six cases of pathogenic CNVs and four cases of VUS. (2) Among the 40 cases in the <28 weeks group, six cases (15.0%) of chromosomal abnormalities were detected, including three cases of aneuploidy, two cases of pathogenic CNVs, and one case of VUS. Among the 65 cases in the 28-31 +6 weeks group, seven cases (10.8%) of chromosomal abnormalities were detected, including five cases of pathogenic CNVs and two cases of VUS. Of the 15 cases in the ≥32 weeks group, one case of chromosomal abnormality was detected, which was VUS. (3) No statistically significant difference was found in the detection rate of chromosomal abnormalities between the isolated FGR and the non-isolated FGR groups [8.7%(6/69) vs. 15.7%(8/51), Fisher's exact, P=0.263]. (4) After excluding the ≥32 weeks non-isolated FGR group (only one case), the <28 weeks non-isolated FGR group had the highest detection rate of chromosomal abnormalities (1/18), while no abnormalities were detected in the ≥32 weeks isolated FGR group. Conclusions:Among FGR fetuses, the highest detection rates of chromosomal abnormalities are found in early-onset and non-isolated FGR. Prenatal diagnosis with CMA testing can significantly improve the detection rate of genetic causes in various types of FGR fetuses.

Objective:This study aimed to investigate the association between genetic factors and the risk of developing treatment-resistant depression (TRD), as well as the efficacy of modified electroconvulsive therapy (MECT), with a specific focus on identifying gene polymorphisms that can differentiate TRD from non-TRD.Methods:This case-control study included inpatients with depression in Adult Psychiatry Department, Affective Disorders Department and Geriatrics Department of Guangzhou Medical University Affiliated Brain Hospital from January 2023 to June 2024, as well as healthy individuals undergoing physical examinations in the outpatient department. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was utilized to genotype 16 loci across 10 candidate genes in 107 non-TRD patients, 101 TRD patients and 281 healthy controls. Hardy-Weinberg equilibrium testing, genotype frequency distribution analysis, and genetic association studies were conducted using PLINK software. Univariate binary logistic regression under a dominant model was performed using R software to analyze gene loci associated with non-TRD and TRD.Results:All 16 gene loci in the control group, the TRD group, and the non-TRD group were found to be in Hardy-Weinberg equilibrium ( P>0.05). No significant differences were observed in the genotype distribution of these gene loci across the groups ( P>0.05). Univariate binary logistic regression analysis revealed that individuals with depression carrying the HTR2A-rs7997012 G allele had a significantly lower risk of developing TRD ( OR=0.26, P=0.047). Among the patients receiving MECT, the proportion of G allele carriers who showed improvement at 2, 4, and 6 weeks of treatment was significantly higher compared to those who did not show improvement (96.61% vs. 80.95%, 96.55% vs. 50.00%, 96.59% vs. 46.15%, respectively), with χ2 values of 6.743, 29.295, and 32.300, respectively, and all P values <0.05. Conclusion:The HTR2A-rs7997012 polymorphism may represent a genetic distinction between TRD and non-TRD. Depressed patients with the rs7997012 G allele have a reduced likelihood of developing TRD, moreover, MECT demonstrates superior efficacy in this patient population.

Objective:To establish a genomic nucleic acid mass spectrometry detection platform for allelic risk associated with Alzheimer's disease.Methods:Whole blood samples of 61 patients diagnosed as Alzheimer's disease in the Affiliated Brain Hospital of Guangzhou Medical University from December 28th, 2023 to 31st, March 2024 were collected and deoxynucleic acid (DNA) was extracted, including 22 males and 39 females, aged (67.36 ± 8.18) years old. After screening out 17 risk gene loci in Chinese population, multiplex polymerase chain reaction primers, single-base extension primers and Sanger sequencing primers were designed. Ten samples were used for primer optimization and debugging through Sanger sequencing and time-of-flight mass spectrometry to establish a detection system. The remaining samples were genotyped using a time-of-flight mass spectrometer and verified by Sanger sequencing for accuracy evaluation. Five samples were selected for gradient dilution and then subjected to time-of-flight mass spectrometry detection to evaluate the detection limit. Three clinical samples, one case of Escherichia coli and one case of Staphylococcus aureus genomic DNA samples were selected for cross-reaction research. The anti-interference ability of the detection system was evaluated against hemolysis, chylous substances and conventional anticoagulants in the samples. Two samples, one wild and one homozygous mutation sample with representative peak shapes, were selected to evaluate the anti-interference ability. Four samples containing the common genotypes of all gene loci in the system were selected and repeated 10 times to evaluate the precision.Results:The minimum intensity of single-base extension primers on mass spectrometry is greater than half of the maximum intensity. All 17 risk gene loci screened were successfully typed. The time-of-flight mass spectrometry detection results of 1,037 loci from 61 samples showed that the genotyping detection rate was 100%. The genotypes of the 20 DNA samples were completely consistent with the results of Sanger sequencing, with an accuracy rate of 100%. The mass spectrometry detection results of five samples after gradient dilution indicated that the low detection limit was 5 ng of DNA. The reaction system has a strong anti-interference ability against hemolysis of samples, chylous substances, conventional anticoagulants and DNA cross-contamination. Homologous allele interference and no cross-reaction between the bacterial genome and 17 gene loci do not affect the risk genome detection results. The results of 10 repeated mass spectrometry tests on 4 samples showed that the precision was 100%.Conclusion:The genomic detection system of Alzheimer's disease risk has been successfully established to provide an auxiliary mean for disease diagnosis and risk assessment.