The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

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.

ObjectiveTo investigate growth hormone secretagogue receptor （GHSR） rs2922126 gene polymorphisms and their association with genetic susceptibility to nonalcoholic fatty liver disease （NAFLD） in the Chinese Han population in Qingdao， China， and to provide a basis for diagnosis and treatment. MethodsA total of 220 patients who were admitted to Qingdao Municipal Hospital from June 2022 to June 2023 and were diagnosed with NAFLD based on radiological examination were enrolled as NAFLD group， and 167 healthy individuals during the same period of time were enrolled as control group. Fasting blood samples were collected from all subjects， and related biochemical parameters were measured. Whole blood DNA was extracted， and polymerase chain reaction and MALDI-TOF mass spectrometer were used for genotyping. The chi-square test was used for comparison of categorical data between groups， and the independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between groups. The binary logistic regression analysis was used to investigate the risk of NAFLD. ResultsCompared with the control group， the NAFLD group had significantly higher age， body mass index （BMI）， fasting plasma glucose， triglyceride， gamma-glutamyl transpeptidase， alkaline phosphatase， alanine aminotransferase， and aspartate aminotransferase， as well as a significantly lower level of high-density lipoprotein （all P0.05）. The distribution of GHSR rs2922126 genotypes was consistent with the Hardy-Weinberg equilibrium， suggesting population representativeness in the subjects enrolled （NAFLD group： P=0.106； control group： P=0.849）. There was no significant difference in the distribution of AA， TA， and TT genotypes at GHSR rs2922126 locus between the control group and the NAFLD group （P=0.099）， and there was also no significant difference in allele frequency between the two groups （P=0.063）. In the recessive model of A allele， there was a significant difference in the distribution of AA homozygote and TA+TT genotype between the NAFLD group and the control group （P=0.032）. The binary logistic regression analysis showed that in the recessive model of A allele， AA homozygote carriers had an increased risk of NAFLD compared with TA+TT genotype carriers （odds ratio ［OR］=1.712， 95% confidence interval ［CI］： 1.045 — 2.807， P=0.033）. There was still a significant difference after adjustment for sex， age， and BMI （OR=2.156， 95%CI： 1.221 — 3.808， P=0.008）. In the NAFLD group， AA genotype carriers had a significantly higher serum level of total cholesterol （TC） than TT+TA carriers （Z=-1.99，P=0.046）. ConclusionGHSR rs2922126 AA genotype may be associated with the increased risk of NAFLD in the Chinese Han population in Qingdao， and GHSR rs2922126 AA genotype is associated with the increase in TC in NAFLD patients.

Objective:To explore the relationship between the stability of the pulse perfusion index(PI)value and Pulse oximetry(SpO2)alarms in monitor for neonates,so as to reduce the false alarm rate.Methods:A monitor with dual blood oxygen module(Module 1 and Module 2)was used to simultaneously monitor different parts of neonates.If both modules alarmed simultaneously,it was considered as a valid alarm.If only one module alarmed while the others was normal,it was considered as an invalid alarm.The PI values were classified into A,B and C categories based on the calculated variance of PI values.The distribution of valid alarms in the three categories was analyzed by using statistical method.The eighteen neonates who admitted to the neonatal department of Shanxi Children's Hospital from May11,2023 to May 19,2023 were monitored,with an average monitoring time of 7.3 hours for each case.The false alarm rates of the monitor with dual blood oxygen module were compared among categories A,B and C,as well as the correlations between different PI values and SpO2 alarms.Results:The times of monitored valid alarm of two non-invasive blood oxygen modules(Module 1 and Module 2)were 41 times,and the false alarm rates of categories A and C were significantly higher than that of category B.The times of categories A,B and C of the monitored PI values of Module 1 and Module 2 were respectively(6,34,1)and(8,30,3),which appeared weak correlation with the times of valid alarm of SpO2(r=0.230,0.259,P<0.05).The result of univariate binary logistic regression indicated PI value could not predict SpO2 alarms in SpO2 alarm.Conclusion:PI value can reflect the affected accuracy of SpO2 alarm when the data that are collected by prober are instability.The PI value that is collected by single SpO2 prober can indirectly reflect that the instable data of collection can affect the correctness of SpO2 alarm,while the simultaneous monitor of adopting monitor with dual oxygen module can improve the accuracy of SpO2 alarms in monitoring for neonates.

Objective To develop an assessment scale for post-intensive care syndrome in pediatrics(PICS-p)and evaluate its reliability and validity,aiming to provide a scientifically sound and feasible tool for clinical assessment.Methods Based on the PICS-p conceptual framework,combined with literature review,semi-structured interviews,and Delphi expert consultation,a preliminary scale was developed.From June to December 2023,a survey was conducted among 330 pediatric patients who were discharged from a tertiary children's hospital in Hangzhou,followed by a two-week retest with 30 children to assess the reliability and validity of the scale.Results Finally 304 children completed the survey.The Post-Intensive Care Syndrome Scale for Children consists of 4 dimensions of physical dysfunction,cognitive dysfunction,psychological dysfunction and social dysfunction,with a total of 29 entries,with a cumulative variance contribution of 61.705％.The content validity index for individual items ranged from 0.800 to 1.000,and the content validity index for the scale as a whole was 0.98.The dimensions of the scale showed positive correlations with the Functional Status Scale(r=0.438-0.581,P＜0.001).The overall Cronbach's α coefficient of the scale was 0.847;the split-half reliability was 0.868;the test-retest reliability was 0.832.Conclusion The scale demonstrates good reliability and validity,and it is suitable for assessing the severity of PICS-p in pediatric patients discharged from the PICU.

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.

The translocator protein (TSPO) positron emission tomography (PET) can noninvasively detect neuroinflammation associated with epileptogenesis and epilepsy. This study explored the role of the TSPO-targeting radioligand [¹⁸F]F-TFQC, an m-trifluoromethyl ER176 analog, in the PET neuroimaging of epileptic rats. Initially, [¹⁸F]F-TFQC was synthesized with a radiochemical yield of 8%-10% (EOS), a radiochemical purity of over 99%, and a specific activity of 38.21 ± 1.73 MBq/nmol (EOS). After determining that [¹⁸F]F-TFQC exhibited good biochemical properties, [¹⁸F]F-TFQC PET neuroimaging was performed in epileptic rats at multiple time points in various stages of disease progression. PET imaging showed specific [¹⁸F]F-TFQC uptake in the right hippocampus (KA-injected site, i.e., epileptogenic zone), which was most pronounced at 1 week (T/NT 1.63 ± 0.21) and 1 month (T/NT 1.66 ± 0.20). The PET results were further validated using autoradiography and pathological analysis. Thus, [¹⁸F]F-TFQC can reflect the TSPO levels and localize the epileptogenic zone, thereby offering the potential for monitoring neuroinflammation and guiding anti-inflammatory treatment in patients with epilepsy.

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.