Publications by authors named "Giedraitis V"

Background: Despite recent improvements in the overall health status of Nepal's population, newborn morbidities and mortalities have remained a challenge. This study explores the situation and care strategies for newborn health problems in the Gandaki Province of Nepal.

Methods: This is a retrospective hospital records analysis.

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  • A study was conducted to investigate the X-chromosome's role in Alzheimer's Disease (AD), which had been overlooked in previous genome-wide association studies.
  • The research included 115,841 AD cases and 613,671 controls, considering different X-chromosome inactivation (XCI) states in females.
  • While no strong genetic risk factors for AD were found on the X-chromosome, seven significant loci were identified, suggesting areas for future research.
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  • Dilated cardiomyopathy (DCM) is a major cause of heart failure, and this study analyzes genetic factors by examining 14,256 DCM cases and 36,203 participants from the UK Biobank for related traits.
  • Researchers discovered 80 genomic risk loci and pinpointed 62 potential effector genes tied to DCM, including some linked to rare variants.
  • The study uses advanced transcriptomics to explore how cellular functions contribute to DCM, showing that polygenic scores can help predict the disease in the general population and emphasize the importance of genetic testing and development of precise treatments.
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Background: Depression and dementia are known to be associated. The identification of characteristics distinguishing depression prodromal to dementia from other depressive symptoms would be of value for early identification of dementia. The study of risk factors for depressive symptoms prodromal to dementia could improve preventive care and provide clues to the causes of dementia.

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Importance: Identification of individuals at high risk for atherosclerotic cardiovascular disease within the population is important to inform primary prevention strategies.

Objective: To evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors.

Design, Setting, And Participants: Individual-level analysis including data on cardiovascular biomarkers from 28 general population-based cohorts from 12 countries and 4 continents with assessments by participant age.

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  • * The research showed that individuals with high polygenic risk scores have significantly higher blood pressure (almost 17 mmHg more) and over seven times the risk of developing hypertension compared to those with low scores.
  • * Incorporating these genetic risk scores into hypertension prediction models improved their accuracy, and excitingly, similar genetic associations were found in a large African-American sample, underscoring the potential of these findings for precision health initiatives.
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  • Type 2 diabetes (T2D) is a complex disease influenced by various genetic factors and molecular mechanisms that vary by cell type and ancestry.
  • In a large study involving over 2.5 million individuals, researchers identified 1,289 significant genetic associations linked to T2D, including 145 new loci not previously reported.
  • The study categorized T2D signals into eight distinct clusters based on their connections to cardiometabolic traits and showed that these genetic profiles are linked to vascular complications, emphasizing the role of obesity-related processes across different ancestry groups.
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Deposition of amyloid beta (Aβ) into plaques is a major hallmark of Alzheimer's disease (AD). Different amyloid precursor protein (APP) mutations cause early-onset AD by altering the production or aggregation properties of Aβ. We recently identified the Uppsala APP mutation (APPUpp), which causes Aβ pathology by a triple mechanism: increased β-secretase and altered α-secretase APP cleavage, leading to increased formation of a unique Aβ conformer that rapidly aggregates and deposits in the brain.

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Background: While assessment tools can increase the detection of cognitive impairment, there is currently insufficient evidence regarding clinical outcomes based on screening for cognitive impairment in older adults.

Methods: The study purpose was to investigate whether Timed Up and Go dual-task test (TUGdt) results, based on TUG combined with two different verbal tasks (name different animals, TUGdt-NA, and recite months in reverse order, TUGdt-MB), predicted dementia incidence over a period of five years among patients (N = 186, mean = 70.7 years; 45.

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  • Scientists studied over 176,000 people to see how certain genes might protect against Parkinson's disease (PD) and Alzheimer's disease (AD).
  • They found that specific types of a gene called HLA could help reduce the risk of these diseases and lower harmful proteins in the brain.
  • This suggests that our immune system might help protect us from PD and AD, which could lead to new treatments in the future.
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  • An estimated 40% of dementia cases might be preventable by altering 12 specific risk factors throughout a person's life, although there's insufficient evidence for many of them.
  • The study aims to identify causal relationships between modifiable risk factors for Alzheimer’s disease (AD) to encourage new treatment options and better prevention strategies.
  • Researchers analyzed data from over 39,000 AD patients and 401,000 controls, finding that higher genetically determined levels of HDL cholesterol and systolic blood pressure were linked to an increased risk of developing AD.
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Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases.

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The Timed Up-and-Go (TUG) test has been combined with different verbal/cognitive tasks (i.e., TUG dual task [TUGdt]) as a form of motor-cognitive testing.

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Background: There are more than 300 presenilin-1 (PSEN1) mutations identified but a thorough postmortem neuropathological assessment of the mutation carriers is seldom performed.

Objective: To assess neuropathological changes (NC) in a 73-year-old subject with the novel PSEN1 G206R mutation suffering from cognitive decline in over 20 years. To compare these findings with an age- and gender-matched subject with sporadic Alzheimer's disease (sAD).

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  • The study investigates the genetic factors contributing to the decline in estimated glomerular filtration rate (eGFR), a key indicator of kidney function, by analyzing data from 62 longitudinal studies involving over 343,000 participants.
  • Twelve significant genetic variants related to eGFR decline were identified, with most showing interaction effects based on age, which highlights how genetic influences on kidney function change as individuals get older.
  • The findings emphasize that individuals with certain genetic profiles face higher risks for kidney failure and acute kidney injury, providing valuable insights that could aid in drug development and strategies for managing kidney health.
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  • Reduced glomerular filtration rate (GFR) is a precursor to kidney failure, influenced by factors like genetics and diabetes (DM), but the interaction between these factors is not well understood.
  • A large-scale genome-wide association study (GWAS) analyzed eGFR across almost 1.5 million individuals, revealing distinct genetic loci that differ between those with and without diabetes.
  • The findings identified potential new targets for drug development aimed at protecting kidney function, highlighting that many drug interventions could be effective for both diabetic and non-diabetic populations.
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  • The APOE ε2 and ε4 alleles are well-known genetic variants linked to Alzheimer’s Disease (AD), but the specific roles of apoE protein and rare genetic variants in AD risk are not fully understood.
  • The study aims to find connections between rare missense variants in the APOE gene and the risk of developing AD.
  • It involved analyzing a large sample of participants across multiple cohorts, including a significant number with and without AD, to assess the relationship between these variants and AD risk through established statistical methods.
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We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10), which were delineated to 338 distinct association signals.

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Presenilin 1 (PS1) is a central component of γ-secretase, an enzymatic complex involved in the generation of the amyloid-β (Aβ) peptide that deposits as plaques in the Alzheimer's disease (AD) brain. The M146L mutation in the PS1 gene () leads to an autosomal dominant form of early-onset AD by promoting a relative increase in the generation of the more aggregation-prone Aβ42. This change is evident not only in the brain but also in peripheral cells of mutation carriers.

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Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis.

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Background: Most dementia disorders have a clear genetic background and a number of disease genes have been identified. Mutations in the tau gene (MAPT) lead to frontotemporal dementia (FTD), whereas mutations in the genes for the amyloid-β precursor protein (APP) and the presenilins (PSEN1, PSEN2) cause early-onset, dominantly inherited forms of Alzheimer's disease (AD). Even if mutations causing Mendelian forms of these diseases are uncommon, elucidation of the pathogenic effects of such mutations have proven important for understanding the pathogenic processes.

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Background: We study dual-task performance with marker-free video recordings of Timed Up-and-Go tests (TUG) and TUG combined with a cognitive/verbal task (TUG dual-task, TUGdt).

Research Question: Can gait parameters be accurately estimated from video-recorded TUG tests by a new semi-automatic method aided by a technique for human 2D pose estimation based on deep learning?

Methods: Thirty persons aged 60-85 years participated in the study, conducted in a laboratory environment. Data were collected by two synchronous video-cameras and a marker-based optoelectronic motion capture system as gold standard, to evaluate the gait parameters step length (SL), step width (SW), step duration (SD), single-stance duration (SSD) and double-stance duration (DSD).

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