Ethics statement
The study protocols outlined in this manuscript were approved by the Ethics Committee and local Institutional Review Board of Xuanwu Hospital, Capital Medical University, Beijing. All methods and experiments were performed in accordance with the relevant guidelines and regulations. All participants enrolled in the study or their guardians signed an informed written consent specifically approved for this study prior to the study commencement.
Subjects
Data used in this study were from a Chinese Han fCJD kindred with G114V mutation in PRNP which have been followed since 20087. Details of the clinical findings and genetic analysis of this family have already been published8. Thirteen asymptomatic family members aged above 18 and one of whose parents should be fCJD patient or G114V mutation carrier were enrolled, We defined asymptomatic subjects as who did not report any neurological complaints and were normal upon neurological examinations. The exclusion criteria were as follows: (1) A main complaint of memory decline or objective memory impairment with cutoff points for Mini Mental State Examination (MMSE) score as 19 (no formal education), 22 (1 to 6 years of education), and 26 (seven or more years of education); cutoff points for Montreal Cognitive Assessment (MoCA) as 13 (no formal education), 19 (1 to 6 years of education), and 24 (seven or more years of education); a Clinical Dementia Rating (CDR) score ≥ 0.5; (2) Presence of abnormality waves in a 2-hour EEG; (3) Presence of psychiatric disorders (Neuropsychiatric Inventory Questionnaire [NPI-Q] ≥ 1); (4) A history of other neurologic disorders; (5) A history of traumatic brain injury; (6) A history of psychosis or congenital mental growth retardation; or (7) contraindications for MRI. The subjects were then divided into 2 groups as 7 asymptomatic carriers of the G114V mutation and 6 non-carriers. All subjects received clinical, neuropsychological assessments, EEG tests, and DTI at baseline. All evaluations were double-blind to genotypes, which means that neither physicians examining the subjects nor the subjects themselves aware of their gene pattern.
The follow-up evaluation was carried out on average 2 years after the baseline interview in 7 carriers and 2 non-carriers, it consisted of in-depth clinical, neuropsychological assessments, EEG tests, and DTI. Five non-carriers failed to obtain follow-up due to refusal to further participate in the study. All carriers and non-carriers that obtained follow-up had received no treatment for cognitive impairment and neurological symptoms in 2 years.
To compare with the subset of carriers and non-carriers that obtained follow-up, from 2018 to 2019, 10 symptomatic CJD patients which are out of this G114V fCJD kindred were enrolled from clinic in Xuanwu Hospital and their age- and gender-matched healthy controls were enrolled from community. All symptomatic CJD patients were diagnosed according to the European probable CJD criteria9. Patients with other causes of cognitive impairment and those are incapable of cooperation were excluded. The controls were recruited for the absence of cognitive symptoms, normal general cognitive functioning, and no active neurological and psychiatric disease. The exclusion criteria for health controls were the same as those for the asymptomatic family members that was described in the preceding paragraph.
Neurological assessments
All subjects received standardized clinical and cognitive assessments including MMSE, MoCA, CDR, and NPI-Q assessments. Clinicians who performed the assessments were not aware of the mutation status of participants.
Genetic analysis for PRNP gene mutation
Blood samples were obtained from 10 symptomatic CJD patients. 5 ml venous blood was collected by EDTA anticoagulant vessel collection and stored at -20℃. Blood extraction kit was used to extract blood DNA. DNA concentration and purity were determined by NanoDrop2000. Specific primers were used to amplify DNA fragments in the region of the mutation site. Reaction system: 2 × Phanta Max Buffer 12.5 µL,Phanta Max Super-Fidelity DNA Polymerase (1 U/µL) 0.5 µL༌dNTP Mix(10 mM each) 0.5 µL, Primer-F(10 µM) 1µL༌Primer-R(10 µM) 1µL, DNA 1µL, Add water to 25µL. Reaction procedure: 95℃ denaturation 5 min; 95℃ denaturation for 30 s, 65℃ annealing for 30 s, 72℃ extension for 30 s, 25 cycles, each cycle reduced by 0.6; 95℃ denaturation for 30 s, 50℃ annealing for 30 s, 72℃ extension for 1 min, 20 cycles; 72℃ extended 10 min. After PCR, 3 µL products were taken for 2.5% agarose gel electrophoresis. PCR products were sequenced by ABI 3730XL DNA Analyzer.
Electroencephalogram
All subjects received a two-hour EEG at baseline and follow-up using 18 lead electroencephalographic transducer (Micromed, Italy). Electrodes were placed in accordance with the international standard 10–20 system. Conventional single lead, double lead and sphenoid lead were traced. Eyes closing and deep breathing experiments were performed.
MRI acquisition and imaging parameters
Magnetic resonance(MR) scanning was performed on a GE Signa PET/MR 3.0 T scanner (GE Healthcare, Milwaukee, WI) in Xuanwu Hospital, Capital Medical University. All 13 asymptomatic family members received their first PET/MR scans in 3/2017. 9 of them received follow-up scans in 3/2019. All 10 symptomatic CJD patients received their scans on the same scanner during their hospital stays from 2018 to 2020. DTI data were acquired using a spin echo-echo planar imaging sequence (TR/TE = 16500/97.6 ms) with a b-value of 1000s/mm2, applying diffusion gradients along 30 directions. 70 axial slices with no slice gap were acquired (FOV = 220 × 220mm2, matrix = 112 × 112, slice thickness = 2 mm, number of excitations = 1).
Diffusion Tensor Imaging processing
DTI data were preprocessed using PANDA software package (a pipeline tool for analyzing brain diffusion images, PANDA; http://www.nitrc.org/projects/panda/) independently developed by the state key laboratory of cognitive neuroscience and learning of Beijing Normal University. Briefly, the preprocessing involves correction of eddy current and head movement, creating a brain mask and fitting the diffusion tensor model. The output yielded voxel-wise maps of fractional anisotropy (FA) and mean diffusivity (MD). The FA index of DTI is a sensitive neuroimaging measure of the degeneration and describes overall white matter health, maturation, and organization. Another index, MD, represents the average dispersion level and dispersion resistance of the water molecule as a whole, which can reflect the changes of brain tissue. The higher the MD value is, the more free water molecules in the tissue, and the information transmission speed will be affected to some extent.
Tract-based spatial statistics analysis
In order to explore the influence of CJD pathology on white matter integrity, Tract-Based Spatial Statistics (TBSS) was performed in this study. TBSS projects all subjects’ FA and MD data onto a mean FA tract skeleton before applying voxel-wise cross-subject statistics. Voxel-wise statistical analyses were performed using a nonparametric permutation-based inference tool [“randomize,” part of FMRIB Software Library (FSL)] with the general linear model (GLM) as statistical modeling. Pairwise group comparisons based on voxels were performed between carriers versus non-carriers at baseline, carriers at baseline versus at follow up and CJD patients versus healthy control. The DTI parameters at each voxel were modeled as a linear combination of predictors (five grouping variables) and covariates (age and sex) stored in the columns of a “design matrix”; The significant thresholds were set at family-wise error (FWE) corrected p < 0.05 using the threshold-free cluster enhancement option.
Statistical analysis
In this study, SPSS 23.0 software was used to evaluate the statistical significance. Differences of age and education were assessed using student’s t-test. Differences in sex were assessed using Chi-square test. Differences of cognitive scores were assessed using student’s t-test. The results were considered statistically significant at p < 0.05.
The estimated years from expected symptom onset were calculated as the age of the participant at the time of the study assessment minus the age of the parent at symptom onset. And if the parent of the participant has not developed the symptom of CJD, the age of the grandparent would be used to calculate the estimated years from expected symptom onset. For example, if the participant’s age was 35 years, and the parent’s age at onset was 45 years, then the estimated years from expected symptom onset would be 10. The parental age at onset was determined by a semi-structured interview in which family members were asked about the age of first progressive cognitive decline.