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 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.

Multiple myeloma (MM) is still an incurable hematologic malignancy, which is eagerly to the discovery of novel therapeutic targets and methods. N-acetyltransferase 10 (NAT10) is the first reported regulator of mRNA acetylation that is activated in many cancers. However, the function of NAT10 in MM remains unclear. We found significant upregulation of NAT10 in MM patients compared to normal plasma cells, which was also highly correlated with MM poor outcome. Further enforced NAT10 expression promoted MM growth in vitro and in vivo, while knockdown of NAT10 reversed those effects. The correlation analysis of acetylated RNA immunoprecipitation sequencing (acRIP-seq) and ribosome profiling sequencing (Ribo-seq) combined with RIP-PCR tests identified centrosomal protein 170 (CEP170) as an important downstream target of NAT10. Interfering CEP170 expression in NAT10-OE cells attenuated the acceleration of cellular growth caused by elevated NAT10. Moreover, CEP170 overexpression promoted cellular proliferation and chromosomal instability (CIN) in MM. Intriguingly, remodelin, a selective NAT10 inhibitor, suppressed MM cellular growth, induced cellular apoptosis in vitro and prolonged the survival of 5TMM3VT mice in vivo. Collectively, our data indicate that NAT10 acetylates CEP1 70 mRNA to enhance CEP170 translation efficiency, which suggests that NAT10 may serve as a promising therapeutic target in MM.

Objective:To investigate the knowledge, attitudes, and practices (KAP) of pulse oximetry among pediatric healthcare providers in China and analyze the factor influencing the KAP.Methods:A self-developed questionnaire was used for an online research on the KAP of 11 849 pediatric healthcare providers from 31 provinces, autonomous regions, and municipalities of China from March 11 to 14, 2022.The factors influencing the KAP of pulse oximetry among pediatric healthcare providers were examined by Logistic regression. Results:The scores of KAP, of pulse oximetry were 5.57±0.96, 11.24±1.25 and 11.19±4.54, respectively.The corresponding scoring rates were 69.61%, 74.95%, and 55.99%, respectively. Logistic regression results showed that the gender and working years of pediatric healthcare providers, the region they were located, and whether their medical institution was equipped with pulse oximeters were the main factors affecting the knowledge score (all P<0.05). Main factors influencing the attitude score of pediatric healthcare providers included their knowledge score, gender, educational background, working years, region, medical institution level, and whether the medical institution was equipped with pulse oximeters (all P<0.05). For the practice score, the main influencing factors were the knowledge score, gender, age, and whether the medi-cal institution was equipped with pulse oximeters (all P<0.05). Conclusions:Chinese pediatric healthcare providers need to further improve their knowledge about and attitudes towards pulse oximetry.Pulse oximeters are evidently under-used.It is urgent to formulate policies or guidelines, strengthen education and training, improve knowledge and attitudes, equip more institutions with pulse oximeters, and popularize their application in medical institutions.

ObjectiveTo investigate the association of the expression of the NK cell-activating receptor NKG2D, its ligand major histocompatibility complex class I chain-related gene A (MICA), and related cytokines ［interferon-γ (IFN-γ), interleukin-10 (IL-10), and interleukin-15 (IL-15)］ with intrahepatic inflammation in primary biliary cholangitis (PBC). MethodsLiver biopsy specimens were collected from 30 patients with PBC (PBC group), 15 patients with chronic hepatitis B (CHB group), and 10 patients with nonalcoholic fatty liver disease (NAFLD group), who were hospitalized in The Second Affiliated Hospital of Kunming Medical University from August 2014 to June 2015. The degree of liver inflammation (G) and fibrosis degree (S) of the liver specimens were determined, and immunohistochemistry was used to measure the expression of NKG2D, MICA, IFN-γ, IL-10, and IL-15 in liver tissue (the scores were determined based on the number of cells stained and the degree of staining to evaluate the expression of each marker). A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the t-test was used for comparison between two groups; a Spearman correlation analysis was used to investigate correlation. ResultsIn the PBC group, the expression of NKG2D increased with the degree of inflammation, and the patients with G3-4 inflammation had significantly higher expression than those with G1-2 inflammation (G1 vs G2 vs G3 vs G4: 1.4±0.05 vs 1.56±0.05 vs 1.86±0.11 vs 2.60±0.17, F=150.8, P＜0.05); the expression of NKG2D decreased with fibrosis degree (S3 vs S4: 2.30±0.17 vs 1.56±0.05, t=-1.52, P＜0.05). In the PBC group, there was no significant difference in MICA between G3 and G4 (0.11±0.01 vs 0.20±0.03, t=-2.20, P＞0.05) and between S3 and S4 (0.12±0.02 vs 0.18±0.03, t=-2.64, P＞0.05). In the PBC group, there was a significant difference in the expression of IL-15 between the patients with different degrees of inflammation (G1 vs G2 vs G3 vs G4: 0.70±0.10 vs 1.50±0.10 vs 1.93±0.11 vs 2.60±0.17, F=251.3, P＜0.05), while there was no significant difference between the patients with different fibrosis degrees (S3 vs S4: 2.00±0.05 vs 2.40±0.30, t=-1.62, P＞0.05). In the CHB group, there was a significant difference in the expression of IL-15 between the patients with different degrees of inflammation (G1 vs G2 vs G3: 0.73±0.15 vs 1.96±0.15 vs 2.50±0.17, F=150, P＜0.05) and between the patients with different fibrosis degrees (S1 vs S2 vs S3: 0.70±0.10 vs 21.96±0.15 vs 2.50±0.17, F=158.7, P＜0.05). In the PBC group, the expression of IL-10 was only observed in the patients with G1 inflammation (0.16±0.01), and in the CHB group, the expression of IL-10 was observed in the patients with G1 and G2 inflammation, with no significant difference (G1 vs G2: 0.19±0.01 vs 0.13±0.01, t=-1.522, P＞0.05). In the patients with PBC, the expression of IL-15 in liver tissue was positively correlated with the levels of alkaline phosphatase (ALP) and gamma-glutamyl transpeptidase (GGT) (r=0.241 and 0.407, P=0.014 and 0.045). ConclusionThe NK cell-activating receptor NKG2D affects the degree of intrahepatic inflammation in PBC, and the NKG2D ligand MICA is expressed in the advanced stage of PBC and can downregulate NKG2D. The expression of IL-15 increases with the degree of inflammation in PBC and is positively correlated with the levels of ALP and GGT, suggesting that the activation of NK cells and abnormal secretion of cytokines are involved in the development and progression of PBC and IL-15 may be used as an auxiliary index for the diagnosis of PBC.