Publications by authors named "Radhakrishna U"

Background: Lewy body diseases, including dementia with Lewy bodies (DLB), are characterized by α-synuclein accumulation, leading to dementia. Previous studies suggest distinct epigenetic and metabolomic profiles in DLB.

Objective: This study aims to identify diagnostic biomarkers by analyzing the methylome and metabolome in the Brodmann area 7 of postmortem brain tissues from DLB patients and control subjects using multiomics approaches.

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Background: Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition that affects hair follicles in areas with apocrine sweat glands, such as the underarms, groin, and buttocks. The pathogenesis of HS is not fully understood, but considering the key role played by the biological clock in the control of immune/inflammatory processes the derangement of circadian and ultradian pathways could be hypothesized.

Methods: We analyzed genome-wide DNA methylation patterns in peripheral blood from 24 HS cases and 24 controls using the Infinium HumanMethylation450 BeadChip array (Illumina), followed by bioinformatics and statistical analyses.

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Article Synopsis
  • * In cancer, disruptions in this pathway contribute to tumor growth and the spread of cancer to other parts of the body (metastasis).
  • * Understanding the core components of this pathway can aid in developing new cancer therapies and targets for treatment, especially in metastatic cases.
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Introduction: Hidradenitis suppurativa (HS) is a prevalent and persistent inflammatory skin disorder, lacking a known cure or effective biomarkers for early diagnosis at present. The genetic determinants of HS have not been fully documented, but it is believed to result from a combination of genetic and environmental factors.

Methods: To identify relevant HS gene variants in sporadic HS patients, this study utilized longitudinal electronic health records (EHRs) and whole-exome sequencing.

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  • Neonatal Opioid Withdrawal Syndrome (NOWS) occurs when infants are exposed to opioids in utero, leading to symptoms like irritability and feeding issues, and can result in long-term health problems and increased mortality.
  • A study assessed DNA methylation of drug transporter genes in placental samples from mothers with varying levels of opioid exposure, revealing significant methylation changes in both solute carrier (SLC) and ATP-binding cassette (ABC) transporters, alongside protein kinase C (PKC) genes.
  • Findings suggest that these epigenetic changes could help explain drug resistance and improve treatment outcomes for infants suffering from NOWS.
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  • Scientists are studying a skin condition called Hidradenitis suppurativa (HS) and how certain genes, known as long noncoding RNAs (lncRNAs), change in people with this condition.
  • They looked at the blood of 24 patients with HS and compared it to healthy people to see how the lncRNAs were different.
  • They found that some lncRNAs had unusual patterns that might affect important body processes like inflammation and healing, which could help in creating better treatments for HS.
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Neonatal opioid withdrawal syndrome (NOWS), arises due to increased opioid use during pregnancy. Cytochrome P450 (CYP) enzymes play a pivotal role in metabolizing a wide range of substances in the human body, including opioids, other drugs, toxins, and endogenous compounds. The association between CYP gene methylation and opioid effects is unexplored and it could offer promising insights.

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Background: Hidradenitis suppurativa (HS) is a chronic debilitating disease with a significant burden of both organic and psychological comorbidities. It has been shown that certain telomere-related genes (TRGs) affect a wide range of diseases, including HS and its associated comorbidities, but their exact role in HS pathogenesis is still unknown.

Objectives: To determine whether TRG methylomes can be used as biomarkers in HS.

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The impact of environmental factors on epigenetic changes is well established, and cellular function is determined not only by the genome but also by interacting partners such as metabolites. Given the significant impact of metabolism on disease progression, exploring the interaction between the metabolome and epigenome may offer new insights into Huntington's disease (HD) diagnosis and treatment. Using fourteen post-mortem HD cases and fourteen control subjects, we performed metabolomic profiling of human postmortem brain tissue (striatum and frontal lobe), and we performed DNA methylome profiling using the same frontal lobe tissue.

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The neonate exposed to opioids in utero faces a constellation of withdrawal symptoms postpartum commonly called neonatal opioid withdrawal syndrome (NOWS). The incidence of NOWS has increased in recent years due to the opioid epidemic. MicroRNAs (miRNAs) are small non-coding RNA molecules that play a crucial role in gene regulation.

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Background: Hidradenitis suppurativa (HS) is a chronic, systemic, inflammatory skin condition with elusive pathogenesis that affects therapeutic intervention directly.

Objective: To characterize epigenetic variations in cytokines genes contributing to HS.

Methods: Epigenome-wide DNA methylation profiling with the Illumina Epic array was performed on blood DNA samples from 24 HS patients and 24 age- and sex-matched controls to explore DNA methylation changes in cytokine genes.

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Article Synopsis
  • - Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder linked to genetic mutations, particularly in the γ-secretase gene, but its exact causes are still not fully understood due to high genetic variability and environmental influences.
  • - This study aimed to explore the genetic causes of HS by screening 95 sporadic cases and one large family to identify mutations in the γ-secretase complex genes.
  • - A novel mutation was found in a large family, specifically a stop codon mutation in the NCSTN gene, while no significant mutations were detected in the sporadic cases, highlighting genetic diversity in HS.
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Precision neurology combines high-throughput technologies and statistical modeling to identify novel disease pathways and predictive biomarkers in Alzheimer's disease (AD). Brain cytochrome P450 (CYP) genes are major regulators of cholesterol, sex hormone, and xenobiotic metabolism, and they could play important roles in neurodegenerative disorders. Increasing evidence suggests that epigenetic factors contribute to AD development.

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High myopia (HM), an eye disorder with a refractive error ≤-6.0 diopters, has multifactorial etiology with environmental and genetic factors involved. Recent studies confirm the impact of alterations in DNA methylation and microRNAs (miRNAs) on myopia.

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Dementia with Lewy bodies (DLB) is a common form of dementia with known genetic and environmental interactions. However, the underlying epigenetic mechanisms which reflect these gene-environment interactions are poorly studied. Herein, we measure genome-wide DNA methylation profiles of post-mortem brain tissue (Broadmann area 7) from 15 pathologically confirmed DLB brains and compare them with 16 cognitively normal controls using Illumina MethylationEPIC arrays.

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  • Ovarian cancer is a highly lethal gynecologic cancer, often diagnosed at late stages due to its asymptomatic nature, highlighting the need for non-invasive diagnostic methods.
  • The study utilized AI and genome-wide analysis of circulating tumor DNA to detect epithelial ovarian cancer, uncovering significant epigenetic changes in DNA methylation across various markers.
  • The results showed high diagnostic accuracy with conventional regression and multiple AI platforms, achieving an area under the ROC curve of up to 1.00, while also identifying key molecular pathways linked to the disease's pathogenesis.
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Purpose: High myopia (HM), an eye disorder with at least -6.0 diopters refractive error, has a complex etiology with environmental, genetic, and likely epigenetic factors involved. To complement the DNA methylation assessment in children with HM, we analyzed genes that had significantly lower DNA methylation levels.

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Background: DNA cytosine nucleotide methylation (epigenomics and epigenetics) is an important mechanism for controlling gene expression in cardiac development. Combined artificial intelligence and whole-genome epigenomic analysis of circulating cell-free DNA in maternal blood has the potential for the detection of fetal congenital heart defects.

Objective: This study aimed to use genome-wide DNA cytosine methylation and artificial intelligence analyses of circulating cell-free DNA for the minimally invasive detection of fetal congenital heart defects.

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Background: Hidradenitis suppurativa (HS) is a chronic inflammatory disease influenced by genetics, non-genetic and environmental factors that modulate miRNA expression. Currently, no miRNA data are available for HS. In this study, we profiled DNA methylation patterns of miRNA genes associated with HS susceptibility.

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Background: Despite extensive efforts, significant gaps remain in our understanding of Alzheimer’s disease (AD) pathophysiology. Novel approaches using circulating cell-free DNA (cfDNA) have the potential to revolutionize our understanding of neurodegenerative disorders. Methods: We performed DNA methylation profiling of cfDNA from AD patients and compared them to cognitively normal controls.

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Background: Lung cancer (LC) is a leading cause of cancer-deaths globally. Its lethality is due in large part to the paucity of accurate screening markers. Precision Medicine includes the use of omics technology and novel analytic approaches for biomarker development.

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Parkinson's disease (PD) is second most prevalent neurodegenerative disorder following Alzheimer's disease. Parkinson's disease is hypothesized to be caused by a multifaceted interplay between genetic and environmental factors. Herein, and for the first time, we describe the integration of metabolomics and epigenetics (genome-wide DNA methylation; epimetabolomics) to profile the frontal lobe from people who died from PD and compared them with age-, and sex-matched controls.

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Background: Autism Spectrum Disorder (ASD) represents a heterogeneous group of disorders with a complex genetic and epigenomic etiology. DNA methylation is the most extensively studied epigenomic mechanism and correlates with altered gene expression. Artificial intelligence (AI) is a powerful tool for group segregation and for handling the large volume of data generated in omics experiments.

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Objective: Placental cytosine (CpG) methylation was measured to predict new-onset postpartum preeclampsia (NOPP) and interrogate its molecular pathogenesis.

Methods: NOPP was defined as patients with a new diagnosis of postpartum preeclampsia developing ≥48 h to ≤6 weeks after delivery with no prior hypertensive disorders. Placental tissue was obtained from 12 NOPP cases and 12 normotensive controls.

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