Nejvíce citovaný článek - PubMed ID 25976421
Steroid hormones in prediction of normal pressure hydrocephalus
Normal pressure hydrocephalus (NPH) is an important differential diagnosis of neurodegenerative diseases. The prevalence of dementia is increasing in line with the worldwide increase in life expectancy. NPH can be divided into idiopathic (iNPH) and secondary (sNPH) which is important in terms of clinical symptoms, future progress, and the outcome of possible treatment. The full clinical triad is not prevalent in all of the cases and the pathophysiology of iNPH remains unclear. Diagnosis is based on the evaluation of clinical symptoms (Hakim's triad) combined with an MRI assessment, evaluation of CSF dynamic parameters by different methods such as a tap test, lumbar infusion test (LIT), and external lumbar drainage (ELD). Despite the development of diagnostic techniques and strategies in management, NPH remains to be a challenge for the specialists despite more than 50 years of research. However, results of this research have brought new opportunities in the diagnosis, therapy, and quality of life as well as survival time of NPH patients with improved symptoms. The aim of this article is to present the pathophysiological hypotheses of NPH and an overview of the diagnostic techniques used for the evaluation of NPH patients.
- Klíčová slova
- Diagnostic procedures, Hydrocephalus, Idiopathic NPH, NPH pathophysiology, Normal pressure hydrocephalus,
- MeSH
- lidé MeSH
- normotenzní hydrocefalus diagnóza epidemiologie patofyziologie terapie MeSH
- prevalence MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
IMPORTANCE: Excess body weight and insulin resistance lead to type 2 diabetes and other major health problems. There is an urgent need for dietary interventions to address these conditions. OBJECTIVE: To measure the effects of a low-fat vegan diet on body weight, insulin resistance, postprandial metabolism, and intramyocellular and hepatocellular lipid levels in overweight adults. DESIGN, SETTING, AND PARTICIPANTS: This 16-week randomized clinical trial was conducted between January 2017 and February 2019 in Washington, DC. Of 3115 people who responded to flyers in medical offices and newspaper and radio advertisements, 244 met the participation criteria (age 25 to 75 years; body mass index of 28 to 40) after having been screened by telephone. INTERVENTIONS: Participants were randomized in a 1:1 ratio. The intervention group (n = 122) was asked to follow a low-fat vegan diet and the control group (n = 122) to make no diet changes for 16 weeks. MAIN OUTCOMES AND MEASURES: At weeks 0 and 16, body weight was assessed using a calibrated scale. Body composition and visceral fat were measured by dual x-ray absorptiometry. Insulin resistance was assessed with the homeostasis model assessment index and the predicted insulin sensitivity index (PREDIM). Thermic effect of food was measured by indirect calorimetry over 3 hours after a standard liquid breakfast (720 kcal). In a subset of participants (n = 44), hepatocellular and intramyocellular lipids were quantified by proton magnetic resonance spectroscopy. Repeated measure analysis of variance was used for statistical analysis. RESULTS: Among the 244 participants in the study, 211 (87%) were female, 117 (48%) were White, and the mean (SD) age was 54.4 (11.6) years. Over the 16 weeks, body weight decreased in the intervention group by 5.9 kg (95% CI, 5.0-6.7 kg; P < .001). Thermic effect of food increased in the intervention group by 14.1% (95% CI, 6.5-20.4; P < .001). The homeostasis model assessment index decreased (-1.3; 95% CI, -2.2 to -0.3; P < .001) and PREDIM increased (0.9; 95% CI, 0.5-1.2; P < .001) in the intervention group. Hepatocellular lipid levels decreased in the intervention group by 34.4%, from a mean (SD) of 3.2% (2.9%) to 2.4% (2.2%) (P = .002), and intramyocellular lipid levels decreased by 10.4%, from a mean (SD) of 1.6 (1.1) to 1.5 (1.0) (P = .03). None of these variables changed significantly in the control group over the 16 weeks. The change in PREDIM correlated negatively with the change in body weight (r = -0.43; P < .001). Changes in hepatocellular and intramyocellular lipid levels correlated with changes in insulin resistance (both r = 0.51; P = .01). CONCLUSIONS AND RELEVANCE: A low-fat plant-based dietary intervention reduces body weight by reducing energy intake and increasing postprandial metabolism. The changes are associated with reductions in hepatocellular and intramyocellular fat and increased insulin sensitivity. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02939638.
- MeSH
- absorpční fotometrie MeSH
- C-peptid metabolismus MeSH
- cholesterol metabolismus MeSH
- dieta s omezením tuků * MeSH
- dieta veganská * MeSH
- dospělí MeSH
- energetický metabolismus MeSH
- energetický příjem MeSH
- glykovaný hemoglobin metabolismus MeSH
- HDL-cholesterol metabolismus MeSH
- hepatocyty metabolismus MeSH
- inzulin metabolismus MeSH
- inzulinová rezistence MeSH
- játra diagnostické zobrazování metabolismus MeSH
- kosterní svalová vlákna metabolismus MeSH
- kosterní svaly diagnostické zobrazování metabolismus MeSH
- krevní glukóza metabolismus MeSH
- LDL-cholesterol metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- metabolismus lipidů MeSH
- nadváha dietoterapie metabolismus MeSH
- nitrobřišní tuk diagnostické zobrazování MeSH
- obezita dietoterapie metabolismus MeSH
- postprandiální období MeSH
- protonová magnetická rezonanční spektroskopie MeSH
- senioři MeSH
- složení těla MeSH
- tělesná hmotnost MeSH
- triglyceridy metabolismus MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- randomizované kontrolované studie MeSH
- Research Support, N.I.H., Extramural MeSH
- Názvy látek
- C-peptid MeSH
- cholesterol MeSH
- glykovaný hemoglobin MeSH
- HDL-cholesterol MeSH
- hemoglobin A1c protein, human MeSH Prohlížeč
- inzulin MeSH
- krevní glukóza MeSH
- LDL-cholesterol MeSH
- triglyceridy MeSH
The determination of steroid hormones and subsequent interpretation of results is accompanied by a range of difficulties. The amount of information that current technology can provide on the circulating concentrations of more than a hundred various steroid compounds can lead to problems with interpretation. The aim of this study is to help provide orientation in this maze of data on steroid hormones. First we focus on specific aspects arising from the pre-analytical phase of steroid determination that need to be considered when planning sampling, whether for diagnostics or research. Then, we provide a brief summary of the characteristics and diagnostic relevance of several steroid hormones and/or their metabolites: pregnenolone, 17alpha-hydroxy-pregnenolone, dehydroepiandrosterone, hydroxyderivatives of dehydroepiandrosterone, androstenedione, testosterone, estrone, estradiol, estriol, cortisol, cortisone, which in our institute are determined with validated LC-MS/MS methods. For these steroids, we also provide newly calculated reference values in fertile women according to the phase of their menstrual cycle.