OBJECTIVE: To explore the cause of inconsistency between the results of trisomy 7 by expanded non-invasive prenatal testing (NIPT-PLUS) and trisomy 18 by prenatal diagnosis. METHODS: A pregnant woman who received genetic counseling at Jiaozuo Maternal and Child Health Care Hospital on July 5, 2020 was selected as the study subject. NIPT-PLUS, systematic ultrasound and interventional prenatal testing were carried out. The middle segment and root of umbilical cord, center and edge of the maternal and fatal surface of the placenta were sampled for the validation by copy number variation sequencing (CNV-seq). RESULTS: The result of NIPT-PLUS indicated that the fetus has trisomy 7. Systematic ultrasound has shown multiple malformations including atrioventricular septal defect, horseshoe kidney, and rocker-bottom feet. However, QF-PCR, chromosomal karyotyping analysis, and CNV-seq of amniotic fluid samples all showed that the fetus was trisomy 18. Validation using multiple placental samples confirmed that the middle segment of the umbilical cord contains trisomy 18, the center of the placenta contained trisomy 7, and other placental sites were mosaicism for trisomy 7 and trisomy 18. Notably, the ratio of trisomy 18 became lower further away from the umbilical cord. CONCLUSION The false positive results of trisomy 7 and false negative trisomy 18 by NIPT-PLUS was probably due to the existence of placental mosaicism. Strict prenatal diagnosis is required needed aneuploidy is detected by NIPT-PLUS to exclude the influence of placental mosaicisms.
Child ; Pregnancy ; Female ; Humans ; Trisomy/genetics* ; Trisomy 18 Syndrome/genetics* ; Placenta ; DNA Copy Number Variations ; Prenatal Diagnosis/methods* ; Chromosome Disorders/genetics* ; Aneuploidy

【Objective】 To explore the factors influencing erectile dysfunction (ED) in male patients after renal transplantation, so as to provide basis for the prevention and treatment of this disease. 【Methods】 Kidney transplant recipients followed up in the Kidney Transplant Clinic of Xijing Hospital during Sep.1, 2022 and May 1, 2023 were selected as the study objects.Questionnaires were distributed, and the erectile function was measured with Sexual Health Inventory for Men (SHIM).Factors associated with ED were analyzed with multivariate logistic regression. 【Results】 A total of 300 questionnaires were distributed, and 276 valid ones were collected, including 182 cases (65.9%) suffering from ED of varying degrees.Multivariate logistic regression analysis showed that age [(<30 years/>50 years, OR: 0.120, 95%CI: 0.033-0.405, P<0.001), (30-40 years/>50 years, OR: 0.223, 95%CI: 0.102-0.463, P<0.001), (>40-50 years/>50 years, OR: 0.320, 95%CI: 0.139-0.719, P<0.01)], level of International Prostate Symptom Score (IPSS) (OR: 1.95, 95%CI: 1.211-3.248, P<0.01), International Prostate Symptom Score-Quality of Life item (IPSS-QoL) (OR: 1.482, 95%CI: 1.201-1.854, P<0.01), and income [(≥10 000 Yuan/<3 000 Yuan, OR: 0.156, 95%CI: 0.053-0.429, P<0.001), (5 000-<10 000 Yuan/<3 000 Yuan, OR: 0.418, 95%CI: 0.199-0.864, P<0.05), (≥10 000 Yuan/3 000-<5 000 Yuan, OR: 0.205, 95%CI: 0.069-0.573, P<0.01)] were independent and significant factors of ED. 【Conclusion】 The prevalence of ED in renal transplantation recipients is high.Age, income, IPSS and IPSS-QoL are the influencing factors.ED after renal transplantation is not only determined by physical and functional factors, but also closely related to social and psychological factors.

Subcortical vascular mild cognitive impairment (svMCI) is a common prodromal stage of vascular dementia. Although mounting evidence has suggested abnormalities in several single brain network metrics, few studies have explored the consistency between functional and structural connectivity networks in svMCI. Here, we constructed such networks using resting-state fMRI for functional connectivity and diffusion tensor imaging for structural connectivity in 30 patients with svMCI and 30 normal controls. The functional networks were then parcellated into topological modules, corresponding to several well-defined functional domains. The coupling between the functional and structural networks was finally estimated and compared at the multiscale network level (whole brain and modular level). We found no significant intergroup differences in the functional–structural coupling within the whole brain; however, there was significantly increased functional–structural coupling within the dorsal attention module and decreased functional–structural coupling within the ventral attention module in the svMCI group. In addition, the svMCI patients demonstrated decreased intramodular connectivity strength in the visual, somatomotor, and dorsal attention modules as well as decreased intermodular connectivity strength between several modules in the functional network, mainly linking the visual, somatomotor, dorsal attention, ventral attention, and frontoparietal control modules. There was no significant correlation between the altered module-level functional–structural coupling and cognitive performance in patients with svMCI. These findings demonstrate for the first time that svMCI is reflected in a selective aberrant topological organization in multiscale brain networks and may improve our understanding of the pathophysiological mechanisms underlying svMCI.