Sridevi Krishnan, MSc, PhD

EDUCATION & PROFESSIONAL TRAINING

• Biomedical Scientist Career Development Fellow. University of California San Diego, CA
• Postdoctoral Fellow. Texas Tech University, Lubbock, TX & University of California Davis, CA
• PhD, Nutritional Biology. University of California Davis, Davis CA
• MSc, Food Science and Nutrition. University of Madras, Chennai, India
• RD – Sundaram Medical Foundation, Chennai, India.
• BSc, Food Service Management, Nutrition, and Dietetics. University of Madras, Chennai, India

RESEARCH & INTERESTS

Precision Nutrition

My research program is focused on quantifying human variability in response to meal/diet interventions to contribute towards precision nutrition.  

Glycans in Nutrition

Omics data give us insight into health and disease processes by measuring small molecules involved in metabolic pathways. Omics data have become integral to biomedical research, progressing from single-omic to multi-omic measures. Glycoproteomics, the systematic study of the composition and structure of glycans on proteins, is a recently developed -omic tool, quickly becoming essential in metabolic disease research. Glycans are sugars (sialic acid, fucose, and others) bound to proteins via post-translational modifications. About 50-80% of mammalian proteins are glycosylated. Glycan composition and structure affect the folding and function of proteins. Since high-throughput glycan screening became available, glycans have become essential in detecting cancer. Glycans are also implicated in obesity and type 2 diabetes. Reduced sialylation (adding sialic acid to a protein) is associated with disruption of pancreatic beta-cell function and insulin secretion, which can progress to type 1 or 2 diabetes. In addition, in type 2 diabetes, there is an increase in circulating free sialic acids not bound to proteins. These indicate that there is a disruption of the glycosylation process in metabolic diseases. Given the significance of glycans in metabolic health, it is essential to study the link between diet, protein glycosylation, and metabolic disease and include measures of the glycoproteome in our toolkit for precision nutrition. My lab will focus on evaluating the effect of dietary glycans on health, and how the interaction between systemic glycans and diet exposure affects metabolic disease pathogenesis.

Multi-omic systems biology for precision nutrition.

Systems biology is the study of whole cells, tissues, or organisms to comprehend the bigger picture. Complementing the reductionist approach of focusing on single molecules, it attempts to evaluate the integrated 'system' as a whole and uses mathematical tools to extract biological information. Multi-omic techniques and systems biology tools can enhance our understanding of metabolism, inching us closer to precision nutrition. My lab will, in collaboration with other transdisciplinary scientists contributing towards other omic (lipidome, metabolome, proteome, genome, transcriptome, microbiome) knowledge, use computational tools and systems biology approaches to model human variability.

SELECTED PUBLICATIONS

Yujie Zhang, Sridevi Krishnan, Bokan Bao, Austin WT Chiang, James T Sorrentino, Song-Min Schinn, Benjamin P Kellman, Nathan E Lewis Preparing glycomics data for robust statistical analysis with GlyCompareCT. STAR protocols 4 (2), 102162 2022

John W. Newman, Sridevi Krishnan, Kamil Borkowski, Sean H. Adams, Charles B. Stephensen, and Nancy L. Keim. Assessing insulin sensitivity and postprandial triglyceridemic response phenotypes with a mixed macronutrient challenge. Frontiers in Nutrition 2022.

Tyler Kim, Yixuan Xie, Qiongyu Li, Virginia M. Artegoitia, Carlito Lebrilla, Nancy L Keim, Sean H Adams, Sridevi Krishnan. Diet affects glycosylation of serum proteins in women at risk for cardiometabolic disease. European Journal of Nutrition, doi.org/10.1007/s00394-021-02539-7; 2021.

Sridevi Krishnan and Giri P Krishnan. N-glycosylation network construction and analysis to modify glycans on the spike S glycoprotein of SARS-CoV-2. Frontiers in Bioinformatics, doi: 10.3389/find.2021.667012; 2021

Sridevi Krishnan and Ramyaa Ramyaa, When Two Heads Are Better Than One: Nutritional Epidemiology Meets Machine Learning, Volume 111, Issue 6, June 2020, Pages 1124–1126, https://doi.org/10.1093/ajcn/nqaa113. Invited editorial to the American Journal of Clinical Nutrition,

Ramyaa Ramyaa, Omid Husseini, Giri P Krishnan, and Sridevi Krishnan. Phenotyping women based on dietary macronutrients, physical activity, and body weight using machine-learning tools. Nutrients, July 22nd, 11(7)- 1682, 2019

Sridevi Krishnan, Sean H Adams, Lindsay H Allen, Kevin D Laugero, John W Newman, Charles B Stephensen, Dustin J Burnett, Megan Witbracht, Lucas C Welch, Excel S Que, Nancy L Keim. A Controlled Feeding Trial Based on the Dietary Guidelines for Americans on Cardiometabolic Health Indices. American Journal of Clinical Nutrition, August 1 108(2):266-278; 2018

Sridevi Krishnan, Michiko Shimoda, Romina Sacchi, John K. Muchena, Guillaume Luxardi, George A. Kaysen, Atul N. Parikh, Viviane N Ngassam, Kirsten Johansen, Glenn Chertow, Barbara Grimes, Jennifer T. Smilowitz, Emanual Maverakis, Carlito B. Lebrilla, Angela M. Zivkovic. HDL Glycoprotein Composition and Site-Specific Glycosylation Differentiates Between Clinical Groups and Affects IL-6 Secretion in Lipopolysaccharide-Stimulated Monocytes. Scientific Reports, Mar 13;7:43728; 2017

Sridevi Krishnan, Jincui Huang, Andres Guerrero, Carlito B Lebrilla, Lars Berglund, Anuurad Erdembileg and Angela M Zivkovic. HDL Proteome and Glycome Profiling: Development of Novel Markers for Coronary Artery Disease Risk. Journal of Proteomics Research, 14 (12), pp 5109–5118, 2015