Sudeepa Bhattacharyya
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Researcher
Also affiliated: Ontario Institute for Cancer Research (2002); Arkansas Children's Hospital (2012–2019); San Francisco VA Medical Center (2020); United States Food and Drug Administration (2010); Emory University (2024); University of Alberta (2002–2003); Duke University (2020); Texas A&M University System (1998); University of California, San Francisco (2020); Middlesbrough College (1996–1997); Boston Scientific (United States) (2025); Thomas Jefferson National Accelerator Facility (2012); Helmholtz Munich (2020); Rosa (United States) (2020); Institute of Bioinformatics and Systems Biology (2020); Calcutta Research Group (1947); Halton General Hospital (1993); GGZ inGeest (2024); Arkansas Children's Nutrition Center (2016–2018); Loughborough Hospital (1996); Amsterdam University Medical Centers (2024); Arkansas Biosciences Institute (2020–2025); Indiana University – Purdue University Indianapolis (2020); University of Missouri–Kansas City (2024–2025); University of Pennsylvania (2020); University of California, Davis (2020); Vrije Universiteit Amsterdam (2024); Texas A&M University (1998); Icahn School of Medicine at Mount Sinai (2020)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Sudeepa Bhattacharyya's research focuses on the biological underpinnings of major depressive disorder, particularly through the lens of metabolomics and the gut microbiome. Her work investigates how metabolic alterations and microbial byproducts may contribute to the pathobiology of depression and anxiety. Bhattacharyya has published studies examining specific metabolite classes, such as acylcarnitines, amines, and lipids, and their associations with depression status, severity, and symptom profiles. Her research also explores the role of gut microbiome-derived compounds, like indoxyl sulfate and bile acids, in relation to mental health conditions.
Further research by Bhattacharyya has explored the relationship between medication use and distinct microbial features in anxiety and depression. She has also contributed to natural language processing in the medical field, developing concepts for colonoscopy compilation and annotating clinical discharge summaries for named entity recognition. Bhattacharyya's scholarly output is reflected in her h-index of 26 and over 3,258 citations from 112 publications. She has received federal funding for cyberinfrastructure modernization at Arkansas State University, serving as Co-PI on an NSF award of $99,906.
Metrics
- h-index: 26
- Publications: 112
- Citations: 3,300
Selected Publications
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Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort (2025)
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Evaluating maternal drug use disparities, risk factors and outcomes in Northeast Arkansas: a pre, during, and post-COVID-19 pandemic analysis (2025)
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Metabolomics signatures of serotonin reuptake inhibitor (escitalopram), serotonin norepinephrine reuptake inhibitor (duloxetine) and cognitive-behavioral therapy on key neurotransmitter pathways in major depressive disorder (2025)
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Medication use is associated with distinct microbial features in anxiety and depression (2025)
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Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort (2024)
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Metabolomics Signatures of serotonin reuptake inhibitor (Escitalopram), serotonin norepinephrine reuptake inhibitor (Duloxetine) and Cognitive Behavior Therapy on Key Neurotransmitter Pathways in Major Depressive Disorder (2024)
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Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression (2024)
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Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort (2024)
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Social Determinants of Health Data Quality at Different Levels of Geographic Detail (2023)
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Social Determinants of Health Data Quality at Different Levels of Geographic Detail (2023)
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Repeatable enhancement of healthcare data with social determinants of health (2022)
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Gut Microbiome-Linked Metabolites in the Pathobiology of Major Depression With or Without Anxiety—A Role for Bile Acids (2022)
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Covid-19 Positivity Differences Among Patients of a Rural, Southern US State Hospital System Based on Population Density, Rural-Urban Classification, and Area Deprivation Index (2022)
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Metabolomic and inflammatory signatures of symptom dimensions in major depression (2022)
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Automated Enhancement and Curation of Healthcare Data (2022)
Federal Grants 1 $99,906 total
CC* Strategy: Campus - Cyberinfrastructure Modernization at Arkansas State University
Collaboration Network
Top Collaborators
- Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature
- Gut Microbiome-Linked Metabolites in the Pathobiology of Major Depression With or Without Anxiety—A Role for Bile Acids
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
Showing 5 of 13 shared publications
- Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
- Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature
- Gut Microbiome-Linked Metabolites in the Pathobiology of Major Depression With or Without Anxiety—A Role for Bile Acids
Showing 5 of 13 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- Social Determinants of Health Data Quality at Different Levels of Geographic Detail
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
Showing 5 of 12 shared publications
- Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
- Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature
- Gut Microbiome-Linked Metabolites in the Pathobiology of Major Depression With or Without Anxiety—A Role for Bile Acids
Showing 5 of 10 shared publications
- Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
- Gut Microbiome-Linked Metabolites in the Pathobiology of Major Depression With or Without Anxiety—A Role for Bile Acids
- Medication use is associated with distinct microbial features in anxiety and depression
- Gut microbiome-linked metabolites in the pathobiology of depression and anxiety - a role for bile acids
- Metabolomics signatures of serotonin reuptake inhibitor (escitalopram), serotonin norepinephrine reuptake inhibitor (duloxetine) and cognitive-behavioral therapy on key neurotransmitter pathways in major depressive disorder
Showing 5 of 7 shared publications
- Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
- Metabolomic and Inflammatory Signatures of Symptom Dimensions in Major Depression
Showing 5 of 7 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
- Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review
Showing 5 of 7 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
- Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review
Showing 5 of 7 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
- Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review
Showing 5 of 7 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
- Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review
Showing 5 of 7 shared publications
- Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature
- Metabolomics signatures of serotonin reuptake inhibitor (escitalopram), serotonin norepinephrine reuptake inhibitor (duloxetine) and cognitive-behavioral therapy on key neurotransmitter pathways in major depressive disorder
- Metabolomic and Inflammatory Signatures of Symptom Dimensions in Major Depression
Showing 5 of 6 shared publications
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
- Metabolomic and Inflammatory Signatures of Symptom Dimensions in Major Depression
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
Showing 5 of 6 shared publications
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
- Metabolomic and Inflammatory Signatures of Symptom Dimensions in Major Depression
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
Showing 5 of 6 shared publications
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature
- Gut Microbiome-Linked Metabolites in the Pathobiology of Major Depression With or Without Anxiety—A Role for Bile Acids
- Gut microbiome-linked metabolites in the pathobiology of depression and anxiety - a role for bile acids
- Metabolomic and Inflammatory Signatures of Symptom Dimensions in Major Depression
- Metabolomic and inflammatory signatures of symptom dimensions in major depression
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
- Metabolomic and Inflammatory Signatures of Symptom Dimensions in Major Depression
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort
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