Objective To evaluate the features of myocardial perfusion imaging (MPI) in patients with homozygous familial hypercholesterolemia (HoFH) and its influence factors.Methods Forty-two consecutive HoFH patients (21 males,21 females;average age:(14.8±8.4) years) were retrospectively enrolled in this study from June 2010 to November 2016.Diagnosis was proved by clinical and chromosome tests,and all patients underwent ATP stress and rest 99Tcm-methoxyisobutylisonitrile (MIBI) SPECT MPI with a two-day protocol.Summed stress score (SSS) and summed rest score (SRS) were acquired,and summed difference score (SDS;SSS-SRS) was calculated.Relations between SSS,SRS,SDS and age,lipid profile were analyzed.Two-sample t test,x2 test,multiple linear regression analysis and multivariate logistic regression were used to analyze the data.Results There were 24 patients with positive MPI results (SSS≥1),and females (76.2％,16/21) showed more positive MPI results than males (38.1％,8/21;x2=6.22,P＜0.05).Eighteen patients had negative MPI results.There were 6,8,10 patients with MPI positive results in ＜ 10 years group (n =14),10-18 years group (n =14) and ≥ 19 years group,respectively (x2=2.33,P＞0.05).Positive electrocardiograph (ECG) in ATP stress test was observed in 9 females (42.9％,9/21) and 3 males (14.3％,3/21;x2 =4.20,P＜0.05).Sixty-three (8.8％,63/714) abnormal myocardial perfusion segments (SSS≥ 1) were found,which was mainly (60.3％,38/63) distributed in myocardial regions supplied by left anterior descending branch (LAD).SSS was positively correlated with age and high density lipoprotein cholesterol (HDLC).SRS,SDS were positively correlated with HDLC and age respectively.Multivariate logistic regression analysis indicated that the female was the only independent risk factor to predict positive MPI (odds ratio=5.2,95％ CI:1.363-19.774).Conclusions In HoFH patients,abnormal myocardial perfusion had a rising trend with age increasing.Female patients are more likely to have abnormal MPI.Abnormal myocardial perfusion segments are mainly located in myocardial regions supplied by LAD.Age and gender are influence factors of abnormal MPI in HoFH patients.

Objective:To evaluate the predictive value of stress+ rest gated myocardial perfusion imaging (G-MPI) in assessing all-cause mortality risk in patients with familial hypercholesterolemia (FH).Methods:From June 2010 to March 2022, 72 patients (39 males, 33 females; age (21.1±12.3) years) who diagnosed with FH clinically and genetically and underwent stress+ rest G-MPI in Beijing Anzhen Hospital, Capital Medical University were retrospectively followed up. Image analysis was performed using the 17-segment 5-point method to obtain left ventricular myocardial perfusion and functional parameters. Patients were followed for all-cause mortality events, and predictors associated with the risk of all-cause mortality were analyzed using Cox regression. The efficiencies of predictors were evaluated by ROC curve analysis, and the Kaplan-Meier method and log-rank test were used to compare the differences in the incidence of all-cause mortality in different groups of patients with FH. Independent-sample t test or Mann-Whitney U test was used to analyze the data. Results:The follow-up time of 72 patients was 7(4, 10) years, and all-cause death occurred in 16(22.2%) patients during the follow-up period. There were statistically significant differences in total cholesterol (TC), low density lipoprotein cholesterol (LDLC), summed stress score (SSS), summed rest score (SRS), summed difference score (SDS), stress end-systolic volume (SESV), stress ejection fraction (SEF), rest end-diastolic volume (REDV), rest end-systolic volume (RESV) and rest ejection fraction (REF) between the death group and the survival group ( t values: from -2.65 to 4.47, z values: from -3.43 to -1.98, all P<0.05). Cox regression analysis showed that SDS (hazard ratio ( HR)=1.337, 95% CI: 1.114-1.604, P=0.002), SESV ( HR=1.019, 95% CI: 1.008-1.030, P<0.001) and LDLC ( HR=1.355, 95% CI: 1.049-1.749, P=0.020) were independent predictors associated with the risk of all-cause mortality in patients with FH. The optimal cut-off value of SESV for predicting mortality in patients with FH determined by ROC curve analysis was 35.5 ml, with the AUC of 0.701 (95% CI: 0.517-0.885). The incidence of all-cause mortality in the group with SESV≥35.5 ml was significantly higher than that in the group with SESV<35.5 ml (28.6% vs 6.9%; χ2=5.15, P=0.023). Conclusion:Stress+ rest G-MPI is an important imaging method for all-cause mortality risk assessment in patients with FH, and SDS, SESV and LDLC are important factors in predicting mortality in patients with FH.

Objective:To analyze the clinical features and genetic etiology of 17 Chinese pedigrees affected with X-linked intellectual disability (XLID).Methods:Seventeen pedigrees affected with unexplained intellectual disability which had presented at Henan Provincial People′s Hospital from May 2021 to May 2023 were selected as the study subjects. Clinical data of the probands and their pedigree members were collected. Trio-whole exome sequencing (Trio-WES), Sanger sequencing and X chromosome inactivation (XCI) analysis were carried out. Pathogenicity of candidate variants was predicted based on the guidelines from the American College of Medical Genetics and Genomics and co-segregation analysis.Results:The 17 probands, including 9 males and 8 females with an age ranging from 0.6 to 8 years old, had all shown mental retardation and developmental delay. Fourteen variants were detected by genetic testing, which included 4 pathogenic variants ( MECP2: c. 502C>T, MECP2: c. 916C>T/c.806delG, IQSEC2: c.1417G>T), 4 likely pathogenic variants ( MECP2: c. 1157_1197del/c.925C>T, KDM5C: c. 2128A>T, SLC6A8: c. 1631C>T) and 6 variants of uncertain significance ( KLHL15: c. 26G>C, PAK3: c. 970A>G/c.1520G>A, GRIA3: c. 2153C>G, TAF1: c. 2233T>G, HUWE1: c. 10301T>A). The PAK3: c.970A>G, GRIA3: c. 2153C>G and TAF1: c. 2233T>G variants were considered as the genetic etiology for pedigrees 12, 14 and 15 by co-segregation analysis, respectively. The proband of pedigree 13 was found to have non-random XCI (81: 19). Therefore, the PAK3: c. 1520G>A variant may underlie its pathogenesis. Conclusion:Trio-WES has attained genetic diagnosis for the 17 XLID pedigrees. Sanger sequencing and XCI assay can provide auxiliary tests for the diagnosis of XLID.