SNPMiner Trials by Shray Alag


SNPMiner SNPMiner Trials (Home Page)


Report for SNP rs429358

Developed by Shray Alag, 2020.
SNP Clinical Trial Gene

There are 6 clinical trials

Clinical Trials


1 Austrian Prospective Cohort Study in Cognitive Function of Elderly Marathon-runners

There is substantial research on the effects of physical exercise on cognitive functions. However, less attention has been paid on the requirements of training intensity and length to enhance cognitive abilities in the elderly. To the investigators knowledge no studies have evaluated the effects of extensive endurance exercise training on cognitive functions by studying elderly marathon runners and bicyclists. On the basis of the scientific literature published so far it is not known whether the beneficial impact of endurance exercise training depends on the intensity of training. The investigators therefore designed a cohort study with adequate power in order to evaluate the effects of intensive endurance exercise training on cognition. This trial, an Austrian prospective cohort study in cognitive function of elderly marathon-runners (APSOEM) is being conducted and will compare neuropsychological performance outcomes of elderly marathon runners or bicyclists with controls matched concerning age, education years, occupation, and verbal intelligence.

NCT01045031 Cognitive Decline
MeSH:Cognitive Dysfunction
HPO:Cognitive impairment Mental deterioration

For this, pre-designed TaqMan SNP-Genotyping assays to distinguish the ApoE ε4 allele from ε2 and ε3 at amino acid position 112 (ApoE rs429358, Assay ID C_3084793_20, Applied Biosystems) and the ApoE ε2 allele from ε3 and ε4 at amino acid position 158 (rs7412, Assay ID C_904973_10, Applied Biosystems) were purchased.

Primary Outcomes

Description: Hypothesis will be tested at the second follow-up examinations.

Measure: the Proportion of Subjects, Who Will Develop Mild Cognitive Impairment

Time: 10 years

Measure: Brain-derived Neurotrophic Factor (BDNF)

Time: Baseline and 5 years

Secondary Outcomes

Description: The following self rating scales were used: WHO-5 Quality of Life Assessment (Braeher, E., Muehlan, H., Albani, C., & Schmidt, S. (2007). Testing and standardization of the German version of the EUROHIS-QOL and WHO-5 quality-of life-indices. Diagnostica, 53(2), 83-96.). Range: 0 - 25, higher scores indicate better quality of life.

Measure: Self Rating by Questionnaires

Time: Baseline and 5 years

Measure: Insulin-like Growth Factor (IGF-1)

Time: Baseline and 5 years

2 Effect of Beta-Glucan Molecular Weight and Viscosity on the Mechanism of Cholesterol Lowering in Humans

The primary aim of this study is to determine whether the cholesterol-lowering efficacy of barley b- glucan varied as function of molecular weight (MW) and the total daily amount consumed. Our second aim is to investigate the mechanism responsible for the action, specifically, whether β-glucan lowers circulating cholesterol concentration via inhibiting cholesterol absorption and synthesis. Thirdly, we aim to determine if any gene-diet interactions are associated with cholesterol lowering by barley β-glucan. In addition, we aim to investigate the alteration of the gut microbiota after β-glucan consumption and the correlation between the altered gut microbiota and cardiovascular disease risk factors.

NCT01408719 Hypercholesterolemia Dietary Supplement: Control Dietary Supplement: 3g LMW beta-glucan Dietary Supplement: 5g LMW beta-glucan Dietary Supplement: 3g HMW beta-glucan
MeSH:Hypercholesterolemia
HPO:Hypercholesterolemia

The Single Nucleotide Polymorphism (SNP) rs3808607 of CYP7A1 gene, rs429358 and rs7412 of APOE gene, and their associations with different blood lipid responses to beta-glucan interventions will be determined.. Changes in Body Weight and Waist Circumference(WC).

Single nucleotide polymorphisms (SNPs), rs3808607 of gene CYP7A1and rs429358 and rs7412 will be determined byTaqMan® SNP Genotyping assay following the manufacturer's protocol.

Primary Outcomes

Description: Fasted total cholesterol concentration will be measured using the automated enzymatic methods.

Measure: Changs in Total Cholesterol

Time: Beginning and end of each phase

Description: Serum LDL cholesterol will be estimated using the Friedewald equation.

Measure: Changes in LDL Cholesterol

Time: Beginning and end of each phase

Secondary Outcomes

Description: The rate of cholesterol absorption and synthesis will be measured in each intervention phase using single stable isotope labelling technique.

Measure: Cholesterol Absorption/Synthesis

Time: End of each phase

Description: The Single Nucleotide Polymorphism (SNP) rs3808607 of CYP7A1 gene, rs429358 and rs7412 of APOE gene, and their associations with different blood lipid responses to beta-glucan interventions will be determined.

Measure: Potential Gene-nutrient Interactions: CYP7A1 and APOE

Time: Once for each participant

Description: Body weight will be monitored every day when subject visits the Richardson Centre. Waist circumference will be measured at the beginning and end of each study phase.

Measure: Changes in Body Weight and Waist Circumference(WC)

Time: Every day for body weight; beginning and end of each phase for WC

3 Reading Imperial Surrey Saturated Fat Cholesterol Intervention (RISSCI) Study. RISSCI-1 Blood Cholesterol Response Study

Raised blood cholesterol (also referred to as blood LDL-cholesterol) is a major risk factor for developing heart disease. Dietary saturated fat is recognised as the main dietary component responsible for raising blood LDL-cholesterol, and reducing its intake has been the mainstay of dietary guidelines for the prevention of heart disease for over 30 years. However, there is very little evidence for a direct link between the intake of saturated fat and risk of dying from heart disease. One explanation for this, is that the link between saturated fat intake and heart disease is not a direct one, but relies heavily on the ability of saturated fat to raise blood LDL-cholesterol levels. This LDL cholesterol-raising effect of saturated fat is complex, and highly variable between individuals because of differences in the metabolism of dietary fat and cholesterol between people. The main aim of this study is to measure the amount of variation in blood LDL-cholesterol in 150 healthy volunteers (75 at the University of Surrey and 75 at the University of Reading) in response to lowering the amount of saturated fat in the diet to the level recommended by the government for the prevention of heart disease. This collaborative project between the Universities of Reading, Surrey and Imperial ('RISSCI-1 Blood Cholesterol Response Study') will permit identification of two subgroups of men who show either a high or low LDL-cholesterol response to a reduction in dietary saturated intake. These participants (n=36) will be provided with an opportunity to participate in a similar follow-up study ('RISSCI-2') that will also take place at the University of Surrey and Reading. In this follow-up study, the participants will be asked to repeat a similar study protocol as for RISSCI-1, but undergo more detailed measurements to determine how saturated fat is metabolised in the body.

NCT03270527 Lipids Lipid Metabolism Healthy Other: High SFA diet (Diet 1) Other: Low SFA diet (Diet 2)

rs429358 and rs7412), APOA-I (e.g.

Primary Outcomes

Measure: Changes in fasting total cholesterol (consisting of LDL-cholesterol and HDL) concentrations

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Secondary Outcomes

Measure: Fasting triacylglycerol

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: HDL immune functions

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: HDL anti-inflammatory and anti-oxidant (PON-1) properties

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: HDL capacity to promote cholesterol efflux (ex-vivo)

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Fasting insulin, glucose

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Adhesion molecules, markers of vascular function

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Inflammatory markers & adipokines

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: LDL-R gene expression

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Description: Polymorphic genes with potential influence on the serum LDL response to dietary saturated fat, e.g.: ATP-binding cassette proteins (cholesterol efflux proteins) ABCG5 (e.g. C1950G) ABCG8 (e.g. D19H, C1895T), functional polymorphisms in the farnesoid X receptor (FXR) and bile acid transporters (e.g. solute carrier organics anion 1B1). Fatty acid desaturases (FADS1 and FADS2). The patatin-like phospholipase domain-containing protein (PNPLA3) (e.g. rs738409 C/G), eNOS. Lipid/cholesterol homeostasis: serum apolipoprotein genes: APOE (ε2,ε3,ε4 e.g. rs429358 and rs7412), APOA-I (e.g. -75G/A), APOA4 (e.g. 360-2), APOA5 (e.g. -113/T>:c), APOCIII, APOB (e.g. -516C/T). Lipase genes: (e.g. LPL, HL, MGLL). Lipoprotein receptor genes (e.g. pvu11 in the LDL receptor), lipid transfer proteins (e.g. CETP e.g Taq1B, MTP), and other polymorphic genes related to the absorption and metabolism of dietary fat and regulation of lipid/cholesterol homeostasis.

Measure: Other relevant genes involved in the absorption and metabolism of dietary fat

Time: Baseline

Description: Analyses conducted by Imperial College London

Measure: Metabolomic analysis for the determination of the low molecular weight metabolite profiles in the biological fluids

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Changes in faecal bacterial population

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Description: BMI will also be calculated (kg/ height in m^2)

Measure: Weight

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Fat mass

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Fat free mass

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Waist circumference

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Hip circumference

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Measure: Blood pressure

Time: Baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Description: Measured via pulse wave assessment using the Mobil-O-graph device.

Measure: Fasting vascular stiffness

Time: baseline, 4 weeks (after diet 1), 8 weeks (after diet 2)

Other Outcomes

Measure: Genotyping for apolipoprotein E to determine the impact of this genotype on changes in the primary and secondary outcome measurements in response to dietary fat intake

Time: Baseline

4 Correlation of Polymorphisms of Lipoprotein Lipase (LpL) and Apolipoprotein E (Apo E) With Lipid Profile of Children With Acute Lymphoblastic Leukaemia During Therapy With L - Asparaginase

Haematological malignancies constitute the most common neoplastic disease in child population, with acute leukemia occupying the number one spot with a percentage of 32.8%. In children, leukaemia is primarily encountered in its acute form (97%) and in the majority of the cases it is presented as Acute Lymphoblastic Leukaemia - ALL (80%). Acute Non-Lymphoblastic Leukemia - ANLL is encountered less frequently (17%) and it includes Acute Myelogenous Leukaemia - AML (15%) and some other rare forms (2%), while the remainder 3% corresponds to chronic leukaemia. L-Asparaginase (L-ASP) is a fundamental component during the loading phase with regards to achieving remission of the disease and, likewise, during the maintenance phase with the intention of establishing that remission in both children and adults suffering from ALL. The cytotoxic effect of the exogenous administration of Asparaginase is caused by the depletion of the reserve of asparagine in the blood. Asparaginase (ASP) acts as a catalyst for the hydrolysis of asparagine to aspartic acid and ammonia. Asparagine is vital for protein and cell synthesis and, therefore, for their survival. The normal cells of the human body have the ability to produce asparagine from aspartic acid, with the assistance of the enzyme asparagine synthetase. However, the neoplastic cells either lack the enzyme completely or contain minute amounts of it resulting in their inability to synthesize asparagine de novo. The survival of these cells and their ability to synthesize proteins depends entirely on receiving asparagine from the blood. Thus, the administration of ASP leads to the inhibition of DNA, RNA and protein synthesis which, in turn, results in the apoptosis of these cells. Despite L-ASP's paramount importance in the chemotherapy treatment of leukaemia, it is responsible for a plethora of toxic adverse effects that sometimes even require the termination of its administration. A critical adverse event of ASP is a disorder in the metabolism of lipids. Specifically, it appears that the activation of the endogenous pathway that produces triglycerides through hepatic synthesis leads to hypertriglyceridaemia. The liver is capable of synthesizing VLDL (Very Low Density Lipoproteins) that are rich in triglycerides. Utilising the effect of the enzyme Lipoprotein Lipase (LpL), located on the vascular endothelium, the triglycerides detach from the VLDL causing the latter to transform into IDL (Intermediate Density Lipoproteins) and afterwards into LDL (Low Density Lipoproteins). The triglycerides are later extracted from the blood circulatory system and stored in the adipose tissue, while the LDL particles connect with tissue receptors or macrophage receptors. The final products of the breakdown (coming from the peripheral hydrolysis of triglycerides with the help of LpL) of chylomicrons, VLDL, the remnants of lipoproteins, will eventually be removed by hepatic receptors. Apolipoprotein E (Apo-E) plays an important role in this procedure, it binds these remnants in the presence of LpL and hepatic lipase. Along the duration of the treatment with ASP, reduced LpL functionality is recorded, resulting in impaired plasma clearance of triglycerides and an increase in their levels, while L-ASP appears to cause disorders in other lipid factors, such as cholesterol, HDL and apolipoprotein A. Disorders of lipid metabolism have been found to be associated with polymorphisms of the LpL and Apo-E genes, sometimes with positive and sometimes with negative effects on the lipid profile and more likely participation in cardiovascular complications. The current study will evaluate, the lipid profile of children with ALL, the effect of L-ASP on the lipid profile of the aforementioned patients, as well as the correlation between the polymorphisms of Lipoprotein Lipase (LpL) and Apolipoprotein E (ApoE) with the values of the lipids during chemotherapy. Both the universal and national bibliography that pertain to the effect of ASP on the potency of LpL and App E and to the values of the lipids in children that suffer from ALL during chemotherapy with L-ASP is limited, while there exists no bibliographic reference correlating the genetic background to LpL and Apo E and the relation of the lipid profile. The current study will examine for the first time gene polymorphisms of LpL and Apo E in children with ALL during treatment with ASP.

NCT04364451 Acute Lymphoblastic Leukemia Other: Correlation of Polymorphisms of Lipoprotein Lipase (LpL) and Apolipoprotein E (Apo E) With Lipid Profile of Children With Acute Lymphoblastic Leukaemia During Therapy With L - Asparaginase
MeSH:Leukemia Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukemia, Lymphoid
HPO:Leukemia Lymphoid leukemia

Moreover, an examination of LpL polymorphisms (the three most common polymorphisms p.N291S, p.D9N, p.S447X) and of Apo E polymorphisms [ε2(rs7412-T,rs429358-T), ε3(rs7412-C, rs429358-T) and ε4 (rs7412-C, rs429358-C)] will be performed after isolating the DNA from the peripheral blood and analyzing it with molecular techniques.

Primary Outcomes

Description: The genotypes of children with ALL will be recorded and it might constitute an early indicative factor concerning the treatment's outcome. Thusly, essential information will be extracted about the possible contribution of genotype of children under treatment with L-ASP to the lipid disorder as shown in the lab results, to better monitoring of each unique phase of the therapy for clinical occurrences and complication and to faster therapeutic intervention.

Measure: The correlation of lipoprotein lipase (LpL) and apolipoprotein E (apoE) polymorphisms with lipid values during the chemotherapy protocol.

Time: Baseline

Description: During the disease's diagnosis, the lipid profile of the patients' will be determined by measuring the changes of the following parameters compared to the baseline measures: cholesterol (mg/dl), triglycerides(mg/dl), HDL-cholesterol(mg/dl), LDL-cholesterol(mg/dl), apolipoprotein A1(mg/dl), apolipoprotein B100(g/L), lipoprotein α [Lp(α)](nmol/l), glucose (mg/dl), SGOT (U/I), SGPT (U/I), TSH (mU/l) FT4 (pmol/l) amylase (U/I) and lipase (U/I).

Measure: Assessment of the effect of asparaginase by measuring the changes induced in the lipid profile of children with acute lymphoblastic leukaemia.

Time: Baseline and days 11, 15, 24, 33 in loading phase and days 8, 16, 21 in maintenance phase

5 A Virtual Reality Intervention to Improve Attention in Heart Failure Patients

Heart failure is a prevalent and serious public health concern with the growing aging population. Patients with heart failure often experience attention impairment that decreases their ability to perform self-care and diminishes their health-related quality of life. In past studies, 15 - 27% of heart failure patients had attention impairment. Attention is fundamental to human activities including self-care management of heart failure. However, cognitive interventions focusing on attention are scarce in heart failure literature. This study focuses on developing a novel cognitive intervention specifically targeting improved attention and testing its efficacy on improving attention, self-care, and health-related quality of life. The investigators in this study are asking the following 3 questions: 1) does the newly developed cognitive intervention using immersive virtual reality technology (Nature-VR) improve attention compared with the control condition (Urban-VR)?; 2) does Nature-VR intervention improve HF self-care and health-related quality of life compared with Urban-VR control condition?; and 3) are selected biological factors associated with attention function in HF? The virtual reality-based cognitive intervention (Nature-VR) can be an efficacious intervention for the patients to use and enjoy without burdening already reduced attention. This study has great potential to improve attention and prevent attention impairment, thereby leading to healthier lives among heart failure patients.

NCT04485507 Heart Failure Cognitive Dysfunction Other: Nature-VR Other: Urban-VR
MeSH:Heart Failure Cognitive Dysfunction
HPO:Cognitive impairment Congestive heart failure Left ventricular dysfunction Mental deterioration Right ventricular failure

The frequency of APOE genotypes (e.g., rs7412, rs429358) will be examined and attention will be examined by the genotype.. Dopamine receptor gene.

Primary Outcomes

Description: Performances on the computerized cognitive test of Multi-Source Interference Task will be examined in terms of speed and accuracy. Participants are instructed to identify the target number, which is different than the other 3 numbers provided on the computer screen. There are two types of trials, congruent and incongruent. Congruent trials have a target number that is always matched its position on the button (e.g., 100, 020, or 223), in contrast, incongruent trials have the target number that is never matched with it position in the button (e.g., 010, 233, or 232). Faster response time and lower error rates indicate better attention.

Measure: Changes in attention - Multi-Source Interference Task

Time: Baseline, 4 weeks, 8 weeks, and 26 weeks

Description: Participants are instructed to remember the sequence of numbers the data collector told and repeat the numbers right after the instructor finished talking. This test has 2 subsets, Forward—repeat exactly the same sequence, and Backward—repeat the numbers in the backward from last to the first. More digits correctly repeated indicate better attention.

Measure: Changes in attention - Digit Span Test

Time: Baseline, 4 weeks, 8 weeks, and 26 weeks

Description: This traditional cognitive test of attention is a paper-pencil based measure and has 2 parts. Part A requires participants to connect a series of randomly arrayed, distinct circles numbered 1 to 25 in correct order as quickly as possible. Part B requires participants to connect a series of 25 circles numbered 1 to 13 randomly intermixed with letters from A to L, alternating between numbers and letters, and proceeding in ascending order (e.g., 1-A-2-B-3 and so on). Faster response time in seconds indicates better attention.

Measure: Changes in attention - Trail Making Test

Time: Baseline, 4 weeks, 8 weeks, and 26 weeks

Description: Stroop Test is a color-word test measuring the ability to processe different visual features and ignore distractions. The test has 2 parts of reading letters of color names and colors of color names using 4 color names (i.e., red, blue, yellow, and green). Congruent trials have the same letters and colors of the color names (i.e., red in red color). Incongruent trials have different letters and colors of the color names (i.e., red in blue color). Faster response time and lower error rates indicate better attention.

Measure: Changes in attention - Stroop Test

Time: Baseline, 4 weeks, 8 weeks, and 26 weeks

Description: This self-reported questionnaire has 13 items on 0 to 10 response scales asking effectiveness in behaviors requiring attention. Higher scores indicate better subjective attention

Measure: Changes in attention - Attentional Function Index

Time: Baseline, 4 weeks, 8 weeks, and 26 weeks

Secondary Outcomes

Description: This self-reported questionnaire consists of 29 items divided into 3 scales measuring self-care maintenance, symptom perception, and self-care management. In addition, self-care confidence is measured by additional 10 items. Each scale is scored separately and standardized to achieve a possible score of 0 to 100. Higher scores indicate better self-care of HF.

Measure: Changes in the Self-Care of Heart Failure Index (SCHFI)

Time: Baseline, 4 weeks, 8 weeks, and 26 weeks

Description: Minnesota Living with Heart Failure Questionnaire will be used to measure health-related quality of life. This self-report questionnaire consists of 21 items on which patients are asked to rate how their HF condition impacted their physical and emotional health. Lower scores indicate better HRQL.

Measure: Changes in Minnesota Living with Heart Failure Questionnaire (LHFQ)

Time: Baseline, 4 weeks, 8 weeks, and 26 weeks

Other Outcomes

Description: Venipuncture will be performed to draw the blood by following Indiana University general laboratory safety guidelines. Changes in the serum BDNF levels (ng/ml) and its associations with attention will be examined.

Measure: Changes in serum brain-derived neurotrophic factor levels (serum BDNF)

Time: Baseline and 4 weeks

Description: Venupucture will be performed to draw the blood for the possible genetic biomarker. The frequency of BDNF Val66Met genotype (e.g., rs6265) will be examined and attention will be examined by the genotype.

Measure: BDNF gene

Time: Baseline

Description: Venupucture will be performed to draw the blood for the possible genetic biomarker. The 3 common allele of APOE (i.e., e2, e3, and e4) will be examined. The frequency of APOE genotypes (e.g., rs7412, rs429358) will be examined and attention will be examined by the genotype.

Measure: Apolipoprotein (APOE) gene

Time: Baseline

Description: Venupucture will be performed to draw the blood for the possible genetic biomarker. Specifically, dopamine receptor gene 4 (e.g., 48 bp VNTR) polymorphism and its association with attention will be examined.

Measure: Dopamine receptor gene

Time: Baseline

Description: Venupucture will be performed to draw the blood for the possible genetic biomarker. The dopamine transporter gene (DAT1) (e.g., rs28363170 - 40 bp VNTR) polymorphism and its association with attention will be examined.

Measure: Dopamine transporter gene

Time: Baseline

6 Clinical, Neurophysiological and Genetical Predictors of Consciousness Recovery and Functional Outcomes After Severe Acquired Brain Injuries

Severe Acquired Brain Injury is defined as a traumatic, post-anoxic, vascular or other brain damage that causes coma for at least 24 hours and leads to permanent disability with sensorial, motor, cognitive or compartmental impairment. In this context, an accurate characterization of individual patients' profile in terms of neuronal damage, potential for neuroplasticity, neurofunctional and clinical state could allow to plan tailored rehabilitation and care pathway on the basis of solid prognostic information, also for optimizing resources of the National Health care systems and enhance ethical decisions. Patient profiling should encompass measures and procedures easily available at the bedside, and with affordable time, resource, and money-costs to determine a real impact on National Health systems. The aim of the study is identifying patient profiles in terms of clinical, neurophysiological and genetical aspects with better long-term outcome in order to plan tailored therapeutic interventions.

NCT04495192 Brain Injuries Disorder of Consciousness Genetic: Genetic analysis of different single nucleotide polymorphisms on ApoE, BDNF and DRD2 genes assessment
MeSH:Brain Injuries Consciousness Disorders Wounds and Injuries

g.45412079C>T] and rs429358 (NC_000019.9:

Primary Outcomes

Description: The Consciousness recovery will be measured throught the italian version of the CRS-R performed for at least 5 time during one week to avoid a misdiagnosis due to consciousness fluctuations.Consciousness recovery is defined as CRS_R >23 and Improvement Responsiveness will be registred for patients transitioning from UWS to MCS or E-MCS, and from MCS to E-MCS.

Measure: Consciousness recovery

Time: 24 months

Description: Tracheostomy weaning will be reported as a dichotomic variable: decannulated yes/no

Measure: Tracheostomy weaning

Time: 24 months

Description: The swallowing severity will be assessed throught the Oral feeding recovery measured by Functional Oral Intake Scale (FOIS) scoring from 1 (severe dysphagia) to 7(absence of dysphagia). The outcome of "oral feeding recovery" corrispond to Functional Oral Intake Scale>4

Measure: Total oral feeding recovery

Time: 24 months

Description: Functional autonomy measured by Glasgow Outcome Scale Expanded scoring between 1 (death) and 8 (complete functional recovery). A good autonomy is defined for Glasgow Outcome Scale Expanded >4

Measure: Functional autonomy

Time: 24 months

Description: In decannulated patients, time between admission in the IRU and decannulation will be reported

Measure: Time to decannulation

Time: 24 months

Secondary Outcomes

Description: The cognitive profile will be assessed firstly investigating the "post-event amnesia" by the Galveston Orientation & Amnesia Test. The date of "post-event amnesia" resolution will be reported when the Galveston Orientation & Amnesia Test score >75 for two consecutive days

Measure: Cognitive profile

Time: 24 months

Description: Degree of social and occupational reintegration assessed by the Community Integration Questionnaire (CIQ). Minimum score is 10 and maximum score is 50. A higher score indicates a higher comunity integration

Measure: Degree of social and occupational reintegration

Time: 24 months

Description: The Quality of Life after Brain Injury (QoLibri) scale allows to measure both the quality of life perceived by both the patient and the caregiver. Quality of Life after Brain Injury (QoLibri) scores are reported on a 0-100 scale. 0=worst possible quality of life and 100=best possible quality of life.

Measure: Subjective and Objective Quality Of Life

Time: 24 months


HPO Nodes


HP:0001268: Mental deterioration
Genes 478
PDGFRB HEPACAM DNAJC13 GLB1 HTT CHD2 SYNJ1 CLN6 FMR1 PSAP TOMM40 GBA SLC13A5 COX1 DAOA XPA TREM2 NOTCH3 PLAU ATP1A3 CNKSR2 AARS2 PINK1 SLC1A2 VPS13C TBP MAPT UCHL1 CHD2 PSEN1 TYMP SLC13A5 TRNC MAPT SCN8A EPM2A C19ORF12 SYNJ1 SNCA CP CHMP2B WWOX TRNK TRNL1 ND4 PDGFB TRAK1 APOL2 NR4A2 ERCC8 VPS13A LRRK2 HSD17B10 GIGYF2 WDR45 PRNP TRNQ DNMT1 SDHB TTPA GABRA2 SCO2 NDUFS2 GBA KMT2A PSEN2 PDGFRB SPG11 TLR3 TRPM7 SNCA GCH1 MAPT CACNA1B UBAP1 COX3 GRN FTL FMR1 TUBA4A HGSNAT ERCC2 ALDH18A1 VPS13C MAPT SQSTM1 PLP1 CUX2 FA2H APTX MAPT GBA ALDH18A1 ARSA TBP ROGDI MAPT GALC KCTD7 WFS1 CISD2 TRNQ APOE GBA MFSD8 PRNP PSEN2 JAM2 TBP HFE DCAF17 CLN3 QDPR NHLRC1 EEF1A2 TRNS1 KCNB1 UBQLN2 GNAS CHCHD10 ARSA TRNH SDHD HTRA1 ZFYVE26 HNRNPA2B1 NPC1 CTC1 C9ORF72 SLC2A3 CACNA1A MAPT TARDBP DARS2 CP DNMT1 RNF216 PSAP PLA2G6 SDHAF1 MAPT GABRG2 CLN5 XPR1 SGPL1 MYORG HNF1A SNCAIP LRRK2 PRKCG GRN TRNW ATP7B CLTC PRDM8 SUMF1 ADA2 PDGFRB IRF6 COMT ATXN2 GALC CHMP2B HTR2A NECAP1 SZT2 CLN6 DNMT1 AARS1 UBA5 ATP13A2 TRNS2 DMPK UCP2 NOS3 PSAP RBM28 A2M EPM2A YWHAG CSTB DNAJC5 COX1 CHMP2B WFS1 ATN1 ND5 PRKAR1A PARS2 JPH3 RBM28 TIMM8A RAB39B IDUA ND6 RRM2B MAPT GALC PTS KCNA2 LMNB1 COL18A1 APP ATXN7 PRNP FBXO7 ERCC4 PSEN1 NDP GRN PRDX1 ERCC6 SNCA FA2H NOTCH3 COX2 FGF12 NDUFAF3 TREM2 DHDDS RAB27A TIMM8A FTL GDAP2 PAH CTNS MAPT MECP2 ATP6 TMEM106B SNORD118 EIF4G1 AP5Z1 KCNA2 NBN HCN1 DNM1L ND6 RTN4R ADA2 ASAH1 TRNL1 SYNGAP1 CST3 ND1 OPA1 C9ORF72 HNRNPA2B1 DNM1 GBA DRD3 CTSD CHCHD10 HNRNPA1 TREX1 SCN3A ATXN10 NDUFB8 ATXN3 PSEN1 ADH1C GBA2 CHMP2B CHI3L1 PDGFB ACTL6B POLG CSF1R UBTF TRNF SURF1 ATP6V1A SYNJ1 ATXN8OS SNCA MAPT FUS PLA2G6 RRM2B MATR3 SNCA PANK2 ARSA PPP2R2B KCNC1 HTT PDE10A ND1 NRAS SPG11 RRM2B GALC BSCL2 SCN1A MTHFR MPO HIBCH SERPINI1 CPLX1 JPH3 NTRK2 PODXL ITM2B COX3 SPAST ABCD1 DISC2 C9ORF72 PRNP CLN8 COASY CSTB NPC2 LRRK2 SQSTM1 GBA CYTB NAGLU TRNV PPT1 RNF216 KCNJ11 HTRA1 RNASEH1 COL4A1 CYP27A1 TWNK ABCC8 PLEKHG4 APP AP2M1 MMACHC MBTPS2 TMEM106B ATP13A2 SPG21 ATN1 MFN2 SYN2 HEXA ATP6V0A2 PARK7 WDR45 DGUOK HTRA2 NOTCH2NLC TRNS2 CYFIP2 TBC1D24 TREM2 PRDM8 VPS35 HTT SYNJ1 TRNK AP3B2 GRN APOL4 PNPLA6 STXBP1 VCP TYROBP NUS1 TREM2 PSEN1 TYROBP TBK1 TREM2 PANK2 PINK1 MATR3 ATP6V1A SNCA BSCL2 GRN GRIN2D CSF1R TTR DNM1 COX2 MAPT TRNF SDHA VCP SORL1 ATXN2 TARDBP SCARB2 SLC6A1 APP GM2A TBK1 PRICKLE1 ATP13A2 APOE ROGDI POLG TK2 PSEN1 NDUFA6 PSEN1 APP PRKAR1B VCP ATP13A2 PRNP ITM2B ATP6 NHLRC1 SQSTM1 TINF2 CLN8 TBK1 ARV1 SMC1A ASAH1 ACTB HNF4A GBA APP HEXB CTSF CERS1 SQSTM1 TRNW TUBB4A APP PRNP C9ORF72 C19ORF12 CNTNAP2 SPG21 PRKN TIMMDC1 ATXN2 DCTN1 ND5 ABCA7 PPP3CA SNCB GABRB2 CUBN PRNP HLA-DQB1 SLC20A2 C9ORF72 TREX1 DCTN1 PPP2R2B VCP TMEM106B FA2H CFAP43 PSEN1 VCP TRNE GABRB3 GBA2 APP SCN1A TRNS1 ATXN7 ATP6V1E1 PDE11A SUMF1 PSAP GABRA5 VCP CHMP2B MAPT MAPK10 PLA2G6 MCOLN1 GBE1 ATP1A2 PRNP GLUD2 DNAJC6
Protein Mutations 3
K56M V158M V66M