Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

OBJECTIVE: To investigate the value of difference between hematocrit (HCT) and albumin (Alb) in predicting the prognosis of patients with sepsis. METHODS: A retrospective study was conducted on the septic patients hospitalized at the First Affiliated Hospital of Guangxi Medical University from January to October in 2024. Clinical data including gender, age, body mass index (BMI), history of hypertension or diabetes, vital signs on admission, and sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score, blood lactic acid (Lac), oxygenation index (PaO₂/FiO₂), hemoglobin (Hb), white blood cell count (WBC), platelet count (PLT), lymphocyte count (LYM), HCT, Alb, difference between HCT and Alb, bilirubin, scrum creatinine (SCr), and fibrinogen (Fib) within 48 hours of admission were collected. The 28-day prognosis of patients was also recorded. Binary multivariate Logistic regression analysis was used to identify risk factors for 28-day death in patients with sepsis. The predictive efficacy of the difference between HCT and Alb on 28-day death was evaluated using the receiver operator characteristic curve (ROC curve). RESULTS: Among 180 enrolled septic patients, 140 survived and 40 died on 28 days. Compared with the survival group, the patients in the death group was significantly older (years old: 64±16 vs. 55±15, P < 0.05), and had higher SOFA score, APACHE II score, and SCr [SOFA score: 6 (4, 9) vs. 3 (2, 5), APACHE II score: 13 (10, 18) vs. 8 (6, 11), SCr (μmol/L): 136 (70, 416) vs. 77 (58, 126), all P < 0.05] as well as lower Hb, PLT, HCT, difference between HCT and Alb, and Fib within 48 hours of admission [Hb (g/L): 90±30 vs. 106±79, PLT (×10⁹/L): 158 (57, 240) vs. 215 (110, 315), HCT: 0.258±0.081 vs. 0.333±0.077, difference between HCT and Alb: -6.52±7.40 vs. 1.07±7.63, Fib (g/L): 3.72±1.57 vs. 4.59±1.55, all P < 0.05]. No significant difference in gender, BMI, history of hypertension or diabetes, vital signs on admission, or other laboratory indicators was found between the two groups. Binary multivariate Logistic regression analysis revealed that age [odds ratio (OR) = 1.040, 95% confidence interval (95%CI) was 1.004-1.078, P = 0.030], APACHE II score (OR = 1.218, 95%CI was 1.038-1.430, P = 0.016), Hb (OR = 1.040, 95%CI was 1.014-1.068, P = 0.003), and difference between HCT and Alb (OR = 0.804, 95%CI was 0.727-0.889, P < 0.001) were independent risk factors for 28-day death of septic patients. ROC curve analysis showed that the area under the ROC curve (AUC) of difference between HCT and Alb for predicting 28-day death of septic patients was 0.764 (95%CI was 0.679-0.849, P < 0.001). A cut-off value of difference between HCT and Alb ≤ -5.35 yielded a sensitivity of 80.7% and specificity of 65.0%. CONCLUSIONS The difference between HCT and Alb at early admission is a valuable predictor of prognosis in septic patients. A difference ≤ -5.35 indicates an increased death risk of septic patients.
Humans ; Prognosis ; Sepsis/blood* ; Retrospective Studies ; Hematocrit ; Serum Albumin/analysis* ; Male ; Female ; Middle Aged ; Aged ; APACHE

Objective:To measure the overall and lobulated volume of the liver with different degrees of liver fibrosis and to further observe pathological changes such as liver microvasculature, hepatocyte apoptosis, and regeneration in order to understand the macroscopic volume changes of the liver during liver fibrosis and its relationship with liver tissue microscopic pathology in patients with chronic liver disease.Methods:53 patients with chronic hepatitis B, alcoholic fatty liver disease, autoimmune liver disease, nonalcoholic fatty liver disease, and drug-induced chronic liver disease who underwent both liver biopsy tissue and abdominal magnetic resonance imaging were collected. Patients were divided into early (F1-2), middle (F3-4), and late (F5-6) in accordance with the Ishak fibrosis stage and Masson stain. The liver and spleen volumes were measured using ITK-SNAP software. CD31 immunohistochemical staining was used to reflect intrahepatic angiogenesis. Ki67 and HNF-4α multiplex immunohistochemical staining were used to reflect hepatocyte regeneration. GS staining was used to determine parenchymal extinction lesions. TUNEL staining was used to observe hepatocyte apoptosis. Spearman correlation analysis was used to analyze the relationship between liver volume changes and liver histopathological changes.Results:As liver fibrosis progressed, the total liver volume and right lobe liver volume gradually decreased ( P<0.05), while the spleen volume gradually increased ( P<0.05). The expression of CD31 and GS gradually increased ( P<0.05), and the expression of Ki67 first increased and then decreased ( P<0.05). The positivity rate of CD31 was negatively correlated with the right lobe liver volume ( r=-0.609, P<0.001) and the total liver volume ( r=-0.363, P=0.017). The positivity rate of Ki67 was positively correlated with the right lobe liver volume ( r=0.423, P=0.018), while the positivity rate of apoptotic cells was significantly negatively correlated with the total liver volume ( r=-0.860, P<0.001). The positivity rate of GS was negatively correlated with the right lobe liver volume ( r=-0.440, P=0.002), and the number of PELs was negatively correlated with RV ( r=-0.476, P=0.013). The CD31 positive staining area was negatively correlated with the Ki67 positive staining area( r=-0.511, P=0.009). Conclusion:As liver fibrosis progresses, patients with chronic liver disease have a depletion in total liver volume and right lobe liver volume, and this is mainly in correlation with fewer liver cells and liver tissue microvasculature disorders.

Objective:To identify additional loci associated with depression and the hippocampus (HIP) through genome-wide association study.Methods:The depression-related genome-wide association study (GWAS) meta summary data was downloaded from the official website of the Psychiatric Genomics Consortium, which had involved 170 756 cases and 329 443 controls. The left and right hippocampal volume GWAS data sets were downloaded from the UK Biobank, which involved 33 224 participants. The conditional false discovery rate (condFDR) was used to identify novel genetic loci for depression and left and right hippocampal volumes, and a conjunctional false discovery rate (conjFDR) was used to evaluate the enrichment of pleiotropic loci between depression and left and right hippocampal volumes.Results:Respectively, 7, 13, and 12 new loci have been associated with depression, left hippocampal volume and right hippocampal volume, with a significant threshold of condFDR < 0.01. A site of rs1267073 locus was found to be shared by the depression and right hippocampal volume with a threshold of conjFDR < 0.01.Conclusion:Above findings have provided more insights into the genetic mechanisms underlying the volume of hippocampus and the risk for depression. The results may also provide evidence for future clinical trials for treating depression.

Abstract OBJECTIVE Oxcarbazepine(OXC) is an antiepileptic drug, which is metabolized to the active 10-monohydroxy derivative(MHD) after oral administration. The half-life period of MHD in children is significantly shorter than that in adults, and the clearance is increased by 30% to 160% compared with that in adults, which indicates that the pharmacokinetics(PK) of MHD in children is obviously different from that in adults, while adults and children exhibit different levels of expression of metabolism enzymes and transporter proteins with the same genotype. At present, there is no study describing the influence of genetic polymorphism of PK-related enzymes on MHD plasma concentrations in children with epilepsy. This study investigates whether the polymorphism of metabolic enzymes and transporter genes have significant effects on MHD plasma concentrations in children with epilepsy in China, so as to provide the reference for individualized application of OXC in pediatric patients. METHODS The plasma samples from pediatric patients with epilepsy aged 0-14 years old at the First Affiliated Hospital of Fujian Medical University who received OXC were prospective collected from June 2021 to June 2023. The MHD blood concentrations of the patients were measured using enzyme amplified immunoassay, and the metabolic enzyme genes UGT2B7 802T>C, UGT1A9 I399C>T, as well as the transporter genes ABCB1 3435C>T and ABCB2 1249G>A polymorphism were detected using dideoxy chain-termination method in epilepsy children. According to Hardy Weinberg's law of genetic balance, the theoretical values of genotype frequency of the patients were calculated, and a Chi-Square test method was used to compare whether there was a significant difference between the theoretical value and the measured value, to examine whether the genotype of the patients included in the study is accordance with the law of genetic balance. One-way ANOVA statistical method was used to analyze the correlation of the four single nucleotide polymorphisms, daily maintenance dosage of OXC, and MHD blood concentrations. Subsequently, Fisher's least significant difference(LSD) test was performed. LSD test is a pairwise comparison of the differences between the mean values of each group, calculated based on the standard error and degrees of freedom to obtain the minimum significant difference between each two groups, while P<0.05 indicated that the difference was significant. RESULTS In this study, 161 trough concentrations were collected from children with epilepsy. The genotype of the included population conformed to the genetic balance law, which indicated that the included patients were representative for the population. Unite analysis of variance showed a significant correlation between the transporter gene ABCB1 3435C>T and MHD blood drug concentration(P<0.05). Subsequently, Fisher's minimum significant difference test was conducted, and MHD plasma concentrations of patients carrying the ABCB1 3435C>T mutation allele were significantly higher than that of non-carriers. No significant association was found between the four single nucleotide polymorphisms and the daily maintenance dosage of OXC, and no significant impact of the other metabolic enzyme and transporter genetic polymorphisms on MHD plasma concentrations was found. CONCLUSION The results of research shows that the ABCB1 3435C>T polymorphism significantly affect the MHD blood concentration of pediatric patients with epilepsy, and the effects of UGT2B7 802T>C, UGT1A9 I399C>T and ABCB2 1249G>A genetic polymorphisms on MHD blood concentration and daily maintenance dosage of OXC are not found. The results suggest that MHD blood concentrations are significantly increased by affecting the expression of the encoded MDR1 transporter protein after ABCB1 3435C>T site mutation, which also may increase the risk of adverse reactions of OXC. The genetic polymorphisms of ABCB1 3435C>T can be detected in children with epilepsy when taking OXC, and the dosage can be adjusted appropriately for patients with genetic mutations. The results of this study can provide the reference for the individualized administration of OXC in clinic.

AIM: To provide reference for clinical application of warfarin PPK/PD model, the prediction accuracy of warfarin PPK/PD model and 6 dose models established by multiple linear regression were compared. METHODS: Clinical data of inpatients who took warfarin tablets for oral anticoagulant therapy in our hospital were collected, and the predictive values were simulated by PPK/PD model and other 6 models, respectively. SPSS 23.0 software was used for paired t-test of measured value and predicted value. MAE and percentage of prediction deviation were used to evaluate the results, and the prediction deviation box-plot was drawn to compare the total data, different dose groups and different genotypes. RESULTS: A total of 50 patients were included in the study. Among 7 models, only PPK/PD model, Wen et al., and Du Liping et al.'s model had no statistical difference in predicted values and measured values (P>0.05). The prediction accuracy of PPK/PD model was higher among the total data, low and medium doses, and patients with different genotypes.The prediction accuracy of Wen et al. 's model and Li Chuanbao et al.'s model was higher in the high-dose group. CONCLUSION: The PPK/PD model of warfarin has good clinical prediction performance, which is expected to provide reference for accurate administration of warfarin.