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"description": "La protéogénomique influence-t-elle les traitements ?\nQuels types de traitements sont développés grâce à la protéogénomique ?\nLa protéogénomique aide-t-elle à la résistance aux médicaments ?\nLes traitements peuvent-ils être personnalisés grâce à la protéogénomique ?\nQuels médicaments sont influencés par la protéogénomique ?",
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"name": "Facteurs de risque",
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"description": "Quels sont les principaux facteurs de risque identifiés par la protéogénomique ?\nLa protéogénomique peut-elle identifier des risques environnementaux ?\nLes habitudes de vie influencent-elles les facteurs de risque protéogénomiques ?\nComment la génétique influence-t-elle les facteurs de risque ?\nPeut-on modifier les facteurs de risque grâce à la protéogénomique ?",
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"@type": "Question",
"name": "Comment la protéogénomique aide-t-elle au diagnostic des maladies ?",
"position": 1,
"acceptedAnswer": {
"@type": "Answer",
"text": "Elle permet d'identifier des biomarqueurs protéiques spécifiques pour un diagnostic plus précis."
}
},
{
"@type": "Question",
"name": "Quels tests sont utilisés en protéogénomique ?",
"position": 2,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des techniques comme la spectrométrie de masse et l'électrophorèse sont couramment utilisées."
}
},
{
"@type": "Question",
"name": "La protéogénomique peut-elle détecter des cancers ?",
"position": 3,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, elle aide à identifier des protéines spécifiques associées à différents types de cancers."
}
},
{
"@type": "Question",
"name": "Quels échantillons sont analysés en protéogénomique ?",
"position": 4,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des échantillons de tissus, de sang ou de fluides biologiques sont souvent analysés."
}
},
{
"@type": "Question",
"name": "La protéogénomique est-elle utilisée en médecine personnalisée ?",
"position": 5,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, elle permet d'adapter les traitements en fonction du profil protéique du patient."
}
},
{
"@type": "Question",
"name": "Quels symptômes peuvent être liés à des anomalies protéiques ?",
"position": 6,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des symptômes variés comme la fatigue, la douleur ou des troubles neurologiques peuvent survenir."
}
},
{
"@type": "Question",
"name": "Les maladies auto-immunes sont-elles étudiées en protéogénomique ?",
"position": 7,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, la protéogénomique aide à comprendre les mécanismes sous-jacents des maladies auto-immunes."
}
},
{
"@type": "Question",
"name": "Comment les protéines affectent-elles les symptômes ?",
"position": 8,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les protéines peuvent influencer des voies biologiques, entraînant divers symptômes cliniques."
}
},
{
"@type": "Question",
"name": "Les symptômes de maladies métaboliques sont-ils liés à la protéogénomique ?",
"position": 9,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des déséquilibres protéiques peuvent contribuer à des symptômes de maladies métaboliques."
}
},
{
"@type": "Question",
"name": "Peut-on prédire des symptômes grâce à la protéogénomique ?",
"position": 10,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des modèles prédictifs basés sur des profils protéiques peuvent anticiper certains symptômes."
}
},
{
"@type": "Question",
"name": "La protéogénomique peut-elle aider à la prévention des maladies ?",
"position": 11,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, elle permet d'identifier des facteurs de risque protéiques pour des interventions précoces."
}
},
{
"@type": "Question",
"name": "Quels facteurs de risque sont identifiés par la protéogénomique ?",
"position": 12,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des facteurs comme des niveaux anormaux de certaines protéines peuvent indiquer un risque accru."
}
},
{
"@type": "Question",
"name": "Comment la protéogénomique influence-t-elle les programmes de dépistage ?",
"position": 13,
"acceptedAnswer": {
"@type": "Answer",
"text": "Elle permet de cibler des populations à risque pour des dépistages plus efficaces."
}
},
{
"@type": "Question",
"name": "Peut-on prévenir des maladies grâce à des interventions protéogénomiques ?",
"position": 14,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des interventions basées sur des profils protéiques peuvent réduire le risque de maladies."
}
},
{
"@type": "Question",
"name": "La nutrition peut-elle être influencée par la protéogénomique ?",
"position": 15,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, elle aide à adapter les régimes alimentaires en fonction des besoins protéiques individuels."
}
},
{
"@type": "Question",
"name": "La protéogénomique influence-t-elle les traitements ?",
"position": 16,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, elle permet de développer des thérapies ciblées basées sur le profil protéique des patients."
}
},
{
"@type": "Question",
"name": "Quels types de traitements sont développés grâce à la protéogénomique ?",
"position": 17,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des traitements biologiques, comme les anticorps monoclonaux, sont souvent développés."
}
},
{
"@type": "Question",
"name": "La protéogénomique aide-t-elle à la résistance aux médicaments ?",
"position": 18,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, elle identifie des mécanismes de résistance, permettant d'ajuster les traitements."
}
},
{
"@type": "Question",
"name": "Les traitements peuvent-ils être personnalisés grâce à la protéogénomique ?",
"position": 19,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, les traitements peuvent être adaptés en fonction des profils protéiques individuels."
}
},
{
"@type": "Question",
"name": "Quels médicaments sont influencés par la protéogénomique ?",
"position": 20,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des médicaments anticancéreux et des immunothérapies sont souvent influencés par cette approche."
}
},
{
"@type": "Question",
"name": "Quelles complications peuvent survenir en cas d'anomalies protéiques ?",
"position": 21,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des complications comme des troubles métaboliques ou des maladies dégénératives peuvent survenir."
}
},
{
"@type": "Question",
"name": "Les maladies cardiovasculaires sont-elles liées à la protéogénomique ?",
"position": 22,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des profils protéiques spécifiques peuvent être associés à un risque accru de maladies cardiovasculaires."
}
},
{
"@type": "Question",
"name": "Comment la protéogénomique aide-t-elle à comprendre les complications ?",
"position": 23,
"acceptedAnswer": {
"@type": "Answer",
"text": "Elle permet d'analyser les interactions entre gènes et protéines, révélant des mécanismes de complications."
}
},
{
"@type": "Question",
"name": "Les complications liées à la protéogénomique sont-elles évitables ?",
"position": 24,
"acceptedAnswer": {
"@type": "Answer",
"text": "Certaines complications peuvent être évitées par des interventions précoces basées sur des analyses protéiques."
}
},
{
"@type": "Question",
"name": "Peut-on prédire des complications grâce à la protéogénomique ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des modèles prédictifs basés sur des données protéomiques peuvent anticiper des complications."
}
},
{
"@type": "Question",
"name": "Quels sont les principaux facteurs de risque identifiés par la protéogénomique ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des facteurs comme l'âge, l'hérédité et des niveaux protéiques anormaux sont souvent identifiés."
}
},
{
"@type": "Question",
"name": "La protéogénomique peut-elle identifier des risques environnementaux ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, elle peut révéler comment des facteurs environnementaux influencent les profils protéiques."
}
},
{
"@type": "Question",
"name": "Les habitudes de vie influencent-elles les facteurs de risque protéogénomiques ?",
"position": 28,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des habitudes comme l'alimentation et l'exercice peuvent modifier les niveaux protéiques."
}
},
{
"@type": "Question",
"name": "Comment la génétique influence-t-elle les facteurs de risque ?",
"position": 29,
"acceptedAnswer": {
"@type": "Answer",
"text": "La génétique détermine la production de certaines protéines, influençant ainsi le risque de maladies."
}
},
{
"@type": "Question",
"name": "Peut-on modifier les facteurs de risque grâce à la protéogénomique ?",
"position": 30,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des interventions ciblées peuvent aider à modifier les niveaux protéiques et réduire les risques."
}
}
]
}
]
}
Sepsis is a common critical illness in intensive care unit (ICU) and seriously threatens the life of patients. Therefore, to identify a simple and effective clinical indicator to determine prognosis i...
Totally, adult patients in ICU who were diagnosed with sepsis in Medical Information Mart for Intensive Care IV(MIMIC-IV) database from 2008 to 2019 were involved in this study. The study population w...
A total of 10,578 patients with sepsis were enrolled, and the ICU all-cause mortality was 15.89%. The patients in the non-survivors group had higher B/A values and more comorbidities than those in the...
An elevated B/A might be a useful prognostic indicator in patients with sepsis. This study could offer a deeper insight into treating sepsis....
To compare the characteristics detected by 7Tesla (7 T) MR and the histological composition of ex-vivo specimens from lesions diagnosed at preoperative CT scan as Pancreatic Ductal Adenocarcinoma (PDA...
Ten pancreatic specimens were examined. The 7 T imaging protocol included both morphologic and quantitative sequences; the latter was acquired by conventional methods and a novel multiparametric metho...
Seven out of 10 lesions were PDAC, 2/10 were biliary carcinomas, whereas one lesion was an ampullary adenocarcinoma. The quality of the morphological sequences was judged "excellent". The "image consi...
Conventional T1-, T2-weighted sequences and MRF derived relaxometries may be useful in differentiating between tumour and non-target pancreatic tissue. Moreover, the MRF sequence can be used to obtain...
Rheumatoid wrist arthritis is a chronic autoimmune disease, resulting in joint deformity and functional impairment. We aimed to compare the wrist synovial ultrasound indices and serum vascular endothe...
Forty patients with RA in wrist underwent ultrasound examination to determine wrist synovial thickness, synovial blood flow grade, and synovial artery resistive index (RI) before and after treatment. ...
Pre-treatment synovial thickness, synovial artery RI, and serum VEGF level were 8.60 ± 2.82 mm, 0.62 ± 0.07, and 419.49 ± 19.27 pg/mL, respectively. The corresponding post-treatment levels were 4.05 ±...
The strong correlation between wrist synovial ultrasound indicators and serum VEGF may be clinically useful for diagnosis and therapy....
The incidence of recurrent hernia after radical resection of prostate cancer is high, so this article discusses the incidence and risk factors of inguinal hernia after radical resection of prostate ca...
This case control study was conducted in The First People's Hospital of Huzhou clinical data of 251 cases underwent radical resection of prostate cancer in this hospital from March 2019 to May 2021 we...
The overall incidence of inguinal hernia after prostate cancer surgery was 14.7% (37/251), and the mean time was 8.58 ± 4.12 months. The average time of inguinal hernia in patients who received lymph ...
Pelvic lymph node dissection is a risk factor for inguinal hernia after radical resection of prostate cancer....
Cognitive impairment is common in patients with multiple sclerosis, even in the early stages of the disease. The Brief International Cognitive Assessment for multiple sclerosis (BICAMS) is a short scr...
To investigate associations between volumetric brain measures derived from a magnetic resonance imaging (MRI) examination and performance on BICAMS subtests in early stages of multiple sclerosis (MS)....
BICAMS was used to assess cognitive function in 49 MS patients at baseline and after one and two years. The patients were separated into two groups (with or without cognitive impairment) based on thei...
The strongest baseline correlations were found between the BICAMS subtests and normalized whole brain volume (NBV) and grey matter volume (NGV); processing speed r = 0.54/r = 0.48, verbal memory r = 0...
The present study found strong correlations between whole brain and grey matter volumes and performance on the BICAMS subtests as well as significant changes in global volumes from baseline to follow-...
Epidemiological studies have repeatedly investigated the association between obesity related anthropometric indicators and body compositions and osteoarthritis (OA). However, the results have remained...
Single-nucleotide polymorphisms associated with the exposures were searched from the recent genome-wide association studies (GWAS) to obtain full statistics. Summary-level results of knee and hip OA w...
We found that genetic components in OA had significant correlation with obesity related traits, except waist-to-hip ratio. In the univariable MR analysis, with the exception of waist-to-hip ratio, obe...
The present study suggests genetic evidence for certain causal associations of obesity related anthropometric indicators and body compositions with knee and hip OA, which may provide important insight...
Finding correlation patterns is an important goal of analyzing biological data. Currently available methods for correlation analysis mainly use non-direct associations, such as the Pearson correlation...
We use PMI to calculate gene co-expression networks of cancer mRNA transcriptome data. Our results show that the PMI-based networks with fewer edges could represent the correlation pattern and are rob...
PMI, measuring direct associations between variables, extracts more important biological relationships at the level of gene pairs than conventional indirect association measures do. It can be used to ...
Discrepancies in bone resection between the medial and lateral compartments are very common in total knee arthroplasty (TKA) when mechanical alignment (MA) is used. The purpose of this study was to ex...
A total of 194 patients (225 knees) diagnosed with osteoarthritis (OA) were included. Virtual bone resection was conducted in the coronal view using full-length weight-bearing radiographs according to...
All knees in the current case series were artificially divided into 4 subgroups: subgroup 1, containing 148 varus knees (65.8%) with valgus femurs; subgroup 2, containing 48 varus knees (21.3%) with v...
When MA-TKAs are performed in varus knees with valgus femurs, the initial bone resection within the EG is mainly positively correlated with mLDFA, while the intraoperative bone resection adjustment is...
Oxidative stress has impacts on the KRas and Nrf2/Keap1 pathways, which have multiple interactions with each other and play important roles in colorectal cancer (CRC). This study investigated the expr...
The protein levels of Nrf2, Keap1, Bach1, p62, HO1, KRas, Erk, Raf1 and PI3K in both the tumour and normal tissues of 60 CRC subjects were determined by Western blot and their T/N (tumour/normal tissu...
The T/N ratios of proteins in the KRas and Nrf2/Keap1 pathways had correlation patterns and proximity profiles in cluster dendrograms different in CRC with different status of lymphovascular invasion ...
The interactions between the KRas and Nrf2/Keap1 pathways may be affected differently by LVI and metastases, and the protein T/N ratio of Keap1 may be helpful for predicting LVI in CRC....
The Paris classification highlights the need to focus on accurately identifying high-grade urothelial carcinoma (HGUC). Herein, we aimed to assess the overall implementation and diagnostic performance...
All urinary cytology reports from July 2018 to December 2019 were collected (n = 1,240). Only voided urine samples were included (n = 1,180). Risk of high-grade malignancy (ROHM) was calculated for ea...
The distribution of categories was: 0.3% unsatisfactory, 90.5% negative for HGUC, 5.6% atypical urothelial cells (AUC), 1.6% suspicious for HGUC, 1.9% HGUC, and 0.1% other malignancies. No diagnosis o...
Specificity of urinary cytology was very high (with only 1 false-positive result), which is important since this will trigger a clinical intervention. The ROHM for each category was in accordance with...