Publications by authors named "Tarunveer S Ahluwalia"

Background: Saliva is a protein-rich body fluid for noninvasive discovery of biomolecules, containing both human and microbial components, associated with various chronic diseases. Type-2 diabetes (T2D) imposes a significant health and socio-economic burden. Prior research on T2D salivary microbiome utilized methods such as metagenomics, metatranscriptomics, 16S rRNA sequencing, and low-throughput proteomics.

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Experiencing a traumatic event may lead to Posttraumatic Stress Disorder (PTSD), including symptoms such as flashbacks and hyperarousal. Individuals suffering from PTSD are at increased risk of cardiovascular disease (CVD), but it is unclear why. This study assesses shared genetic liability and potential causal pathways between PTSD and CVD.

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  • The study explores the genetic factors influencing β-cell function (BCF) and their relationship to type 2 diabetes (T2D), expanding on previous genetic research using large-scale data.
  • By analyzing GWAS data from around 26,000 individuals, the researchers identified 55 unique genetic associations related to BCF traits derived from oral glucose tolerance tests.
  • The findings reveal key genes that regulate insulin secretion and illustrate how different genetic mechanisms can affect T2D risk, offering a deeper understanding of the complex biology behind the disease.
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  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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  • The study explores how host genome variants influence oral microbial communities, linking the mouth's bacteria to both oral and overall health in 610 Danish adults.
  • Researchers identified six specific single nucleotide polymorphisms (SNPs) associated with varying abundances of oral bacteria and found that one SNP significantly exceeded the study's significance threshold.
  • The findings suggest a complex relationship between genetics, oral microbiota, and metabolic health, indicating a need for combined studies in these areas to better understand health outcomes.
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Introduction: Diabetic retinopathy (DR), diabetic kidney disease (DKD) and distal symmetric polyneuropathy (DSPN) share common pathophysiology and pose an additive risk of early mortality.

Research Design And Methods: In adults with type 1 diabetes, 49 metabolites previously associated with either DR or DKD were assessed in relation to presence of DSPN. Metabolites overlapping in significance with presence of all three complications were assessed in relation to microvascular burden severity (additive number of complications-ie, presence of DKD±DR±DSPN) using linear regression models.

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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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Introduction: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) have emerged as novel therapeutics to treat diabetic kidney disease (DKD). Although the beneficial effects of SGLT2i have been demonstrated, their target mechanisms on kidney function are unknown. The current study aimed to elucidate these mechanisms by studying SGLT2i-induced changes in the urinary proteome of persons with type 2 diabetes (T2D) and DKD.

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  • Researchers conducted a study on vocabulary development in children, looking specifically at how genetic factors influence both expressive and receptive vocabulary sizes as children grow.
  • The study involved nearly 38,000 parental reports from children of European descent and analyzed vocabulary measures at different developmental stages, assessing various genetic correlations.
  • Findings indicated that early vocabulary is somewhat heritable and that there's genetic overlap with literacy skills, but a strong link to intelligence and ADHD appears later during toddlerhood.
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Atopic dermatitis (AD) is a common inflammatory skin condition and prior genome-wide association studies (GWAS) have identified 71 associated loci. In the current study we conducted the largest AD GWAS to date (discovery N = 1,086,394, replication N = 3,604,027), combining previously reported cohorts with additional available data. We identified 81 loci (29 novel) in the European-only analysis (which all replicated in a separate European analysis) and 10 additional loci in the multi-ancestry analysis (3 novel).

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Skull bone mineral density (SK-BMD) provides a suitable trait for the discovery of key genes in bone biology, particularly to intramembranous ossification, not captured at other skeletal sites. We perform a genome-wide association meta-analysis (n ~ 43,800) of SK-BMD, identifying 59 loci, collectively explaining 12.5% of the trait variance.

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Background: Accumulating evidence showed a bidirectional association between post-traumatic stress disorder and inflammation. However, whether the association is causal remains unclear. We aimed to evaluate the causal relationships between inflammatory cytokines and post-traumatic stress disorder using two-sample bi-directional Mendelian randomization analysis.

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The extent to which increased liver fat content influences differences in circulating metabolites and/or lipids between low-birth-weight (LBW) individuals, at increased risk of type 2 diabetes (T2D), and normal-birth-weight (NBW) controls is unknown. The objective of the study was to perform untargeted serum metabolomics and lipidomics analyses in 26 healthy, non-obese early-middle-aged LBW men, including five men with screen-detected and previously unrecognized non-alcoholic fatty liver disease (NAFLD), compared with 22 age- and BMI-matched NBW men (controls). While four metabolites (out of 65) and fifteen lipids (out of 279) differentiated the 26 LBW men from the 22 NBW controls ( ≤ 0.

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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 study explores the relationship between rare genetic variants in the albumin transporter gene and estimated glomerular filtration rate (eGFR) in individuals with Type 1 and Type 2 diabetes, as well as those without diabetes.
  • Data from large European cohorts and the UK Biobank were analyzed using genetic association methods to investigate these associations.
  • Although no significant links between eGFR and the variants were found in the diabetes groups, significant positive associations were observed in non-diabetic individuals, particularly with one variant being strongly linked to eGFR.
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Aims/hypothesis: To identify novel pathophysiological signatures of longstanding type 1 diabetes (T1D) with and without albuminuria we investigated the gut microbiome and blood metabolome in individuals with T1D and healthy controls (HC). We also mapped the functional underpinnings of the microbiome in relation to its metabolic role.

Methods: One hundred and sixty-one individuals with T1D and 50 HC were recruited at the Steno Diabetes Center Copenhagen, Denmark.

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  • People with Type 1 diabetes (T1DM) have a higher chance of getting heart problems, specifically heart failure.
  • The study looked at how certain types of fat in the blood and some other markers could help understand if these patients have early signs of heart issues.
  • Researchers found that those with heart problems had more severe diabetes and certain health markers compared to those who were healthy.
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  • Common SNPs may account for 40-50% of human height variation, and this study identifies 12,111 SNPs linked to height from a large sample of 5.4 million individuals.
  • These SNPs cluster in 7,209 genomic segments, encompassing about 21% of the genome and showing varying densities enriched in relevant genes.
  • While these SNPs explain a substantial portion of height variance in European populations (40-45%), their predictive power is lower (10-24%) in other ancestries, suggesting a need for more research to enhance understanding in diverse populations.
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  • - The study analyzed data from 703,901 individuals and identified 99 genetic loci related to physical activity levels and sedentary behavior, particularly focusing on leisure time activities and screen use.
  • - Certain genes linked to sedentary behavior show heightened expression in skeletal muscle when influenced by resistance training, highlighting a connection between genetics and exercise.
  • - The findings suggest that lower screen time and increased physical activity can positively impact health, but these effects may be influenced by factors like body mass index (BMI).
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Objective: To evaluate the effect of the sodium-glucose cotransporter 2 inhibitor dapagliflozin on the kidney-risk urinary proteomic classifier (CKD273) in persons with type 2 diabetes (T2D) and albuminuria.

Research Design And Methods: In a double-blind, randomized, controlled, crossover trial, we assigned participants with T2D and urinary albumin to creatinine ratio (UACR) ≥30 mg/g to receive dapagliflozin or matching placebo added to guideline-recommended treatment (ClinicalTrial.gov identifier NCT02914691).

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Substantial genetic correlations have been reported across psychiatric disorders and numerous cross-disorder genetic variants have been detected. To identify the genetic variants underlying general psychopathology in childhood, we performed a genome-wide association study using a total psychiatric problem score. We analyzed 6,844,199 common SNPs in 38,418 school-aged children from 20 population-based cohorts participating in the EAGLE consortium.

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Aims: People with type 1 diabetes have increased risk of cardiovascular (CV) and kidney disease. A 24-hour ambulatory blood pressure (BP) measurement (ABPM) examines diurnal variations in BP. We aimed to determine the prognostic significance of blunted decrease in nocturnal systolic BP of <10 % (non-dipping of nocturnal BP) for CV- and kidney disease and all-cause mortality in type 1 diabetes.

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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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