The role of the immune system in the protection against infections has been recognized for over a hundred years. However, only recently it has become apparent that inflammatory components of the immune system are often elevated in aged individuals and associated with high incidence of non-communicable diseases such as cancer, cardiovascular disease and neurodegenerative disorders, among others.
The Furman lab integrates systems-level immunity in humans to accelerate knowledge of how the immune system affects aging and related chronic disease. Central for this research is the use of state-of-the art technological platforms to measure multiple levels of the immune system in large human cohorts and the application of advanced analytics by artificial intelligence and machine learning to cope with these large volumes of data (‘Big Data’). We collaborate closely with multiple Buck faculty to help defining the immune pathways and circuitries affected by aging and linked to chronic disease states.
Why it matters
Non-communicable diseases of aging are the #1 killer worldwide with a yearly estimated burden of $2.3 trillion only in the US (90% of the total annual health expenditures). It is now a consensus that Systemic Chronic Inflammation (SCI), arising as an immune response to environmental and social insults (known as the ‘exposome’), is the root cause of these diseases, which include cardiovascular disease, cancer, neurodegenerative disorders, musculoskeletal conditions, and many others. Identifying metrics and understanding the role of SCI on the pathophysiology of these age-related diseases is now transforming healthcare as it enables people take control of their health and accelerates discovery of therapeutics, which will result in a significant reduction of disease burden.
Applied Artificial Intelligence is helping us to unravel the complex interactions between environment, immunity & aging and it is transforming preventative medicine and therapeutics.
David Furman, PhD
Dr. David Furman is Director of the Stanford 1,000 Immunomes Project at Stanford School of Medicine, Associate Professor at the Buck Institute for Research on Aging and Chief of the AI Platform at the same institute. He obtained his Doctoral degree in immunology (summa cum laude) from the School of Medicine, University of Buenos Aires, Argentina, for his work on cancer immune-surveillance. During his Postdoctoral training at the laboratory of Professor Mark M Davis (Stanford), he conducted cutting-edge research in Data Science and Systems Immunology to predict clinical outcomes using multi-omics technologies in large human cohorts. The aim was to answer scientific questions with strong potential for translational medicine, including the effect of immunity in age-related disease and longevity. Dr. Furman moved to University of Bordeaux, France, where he was appointed as Visiting Scientist and investigated the involvement of the endocrine and immune systems in human aging and in kidney transplantation. After France, Dr. Furman helped create the Systems Biology Department at the Sidra Medical Research Center in Doha, Qatar. Dr. Furman was then re-appointed at the Stanford School of Medicine to assume the role of Consulting Professor at the Institute for Immunity, Transplantation and Infection (ITI), and his work involved the use of high-bandwidth/high throughput technologies to measure immune function in humans and Machine Learning tools to better define the role of the immune system in disease and longevity.
Dr. Furman is inventor of over 20 patents and has published dozens of scientific articles with over 6,000 citations in top peer reviewed journals such as The Lancet, Nature Medicine, Cell, etc. Current i10 index of Dr. Furman is 32.
Jordan Baechle, MD Postdoctoral Research Fellow
Jordan Baechle is a postdoctoral fellow who joined the Furman lab in April 2022. He received his B.S. from the University of Tennessee in biochemistry and molecular biology. He then earned his M.D. at Meharry Medical College in Nashville, TN, while continuing his research in endocannabinoid modulation of stress and metabolic changes in endocrine-related malignancies at Vanderbilt University Medical Center. His passion for translating scientific discovery and innovation to patient care brought him to the Masters of Translational Medicine program at the University of California (UC) Berkeley and UC San Francisco. He is extraordinarily curious about aging, peak performance, and space travel. His primary interests focus on the impact of chronic inflammation on accelerated aging pathology and immune system modulation in extended microgravity spaceflight and radiation exposure. He aims to use his range of experience to contribute to the development of interdisciplinary measures and therapeutics to enhance healthy aging and safe space travel.
Matias Fuentealba, PhD Postdoctoral Research Fellow
Matias is a computational biologist and Doctor in Aging from University College London (UCL). In his doctoral thesis at UCL, he worked with Professor Linda Partridge on the prediction of novel genetic and pharmacological interventions to modulate aging and improve healthy lifespan. He developed several computational methods for this purpose which were strongly validated by experiments and the existing literature. Matias has demonstrated to be very prolific, in addition to being highly motivated and independent, leading several initiatives and collaborations during his career. In April 2022, he joined the Furman Lab with the goal to study the parallels between space flight and terrestrial aging and bring to light novel compounds with the potential to delay age-related pathologies.
Heather Halaweh Administrative Lab Manager
Heather received her biological sciences degree and spanish minor from UC Santa Barbara. Caring for patients as a chairside dental assistant inspired Heather to pursue a career in the field of research. After leaving dentistry, completing a Business Certificate in Entrepreneurship from Santa Rosa Junior College, and gaining professional lab experience, she joined the Furman Lab as an Administrative Lab Manager. Heather grew up in Sonoma County and enjoys gardening, dancing, and playing the piano.
Nikola Markov, PhD Bioinformatics Scientist
Nikola Markov is a postdoctoral fellow who joined the Furman lab in Sept 2020. He received his Ph.D in Neuroscience for his studies of the structural organization of the Macaque cortical network. He holds a B.S in Cell Biology and Physiology from the University Claude Bernard in Lyon France. He moved to the US in 2011 to join the labs of Michael Higley and Xiao Jing Wang where he applied optogenetic methods to study the synaptic properties of a novel fronto-occipital projections playing role in establishing visual attention. He later joined the lab of Timothy Bushman where he built new experimental systems for primate and rodent behavior control and developed high density multi-electrode devices to record neural activity in animals performing a gating of working memory task. After a short stint at Stanford university he has joined the Buck institute to expand his understanding of the role of chronic inflammation in the processes of aging especially as it relates to the neural system.
Natalia Murad, PhD Postdoctoral Research Fellow
Natalia is Bachelor in Biological Sciences from Federal University of Lavras (Brazil) and now she is coursing her Bachelor in Computer Science. During her undergraduation she worked with Statistics applying mixed linear models on gene expression data. She received her Master's Degree in Genetics and Molecular Biology from the University of Campinas (Brazil) in 2011. Her research was focused on Systems Biology inferring gene regulatory networks to identify pathways related with sugar production in sugarcane. She received her PhD in Bioinformatics also from the University of Campinas in 2018, where she continued as postdoctoral researcher. During this time she worked applying gene regulatory networks, Bayesian statistics and different approaches as GWAS in order to integrate data from different sources to identify adaptations of pest insects to herbivory. Then, she joined the project "New paradigms for biofuel production" as Data Scientist (2019). In this position, she worked with multiomics analysis, metagenomics, database construction and also acquired experience with Machine Learning models. In Dec 2021, she joined the Furman Lab as postdoctoral fellow.
Khiem Nguyen Data Scientist
Khiem completed his Ph.D degree in chemical biology at the University of Utah in 2012. From 2013 to 2015, he worked as a Postdoc Scholar at the University of California Berkeley and University of Utah. He developed his interest in bioinformatics during his employment at the company Bimedtech from 2016-2018. He then pursued a M.Sc degree in Applied Statistics with a focus in Biostatistics at Pennsylvania State University in 2018 to build a more quantitative background. From 2018 to 2019, he visited the University of California at San Francisco, where he studied brain gene expression heritability from genetic - environment interactions. His current research focuses on analyzing multi-scale biological data to understand the mechanism of aging and aging-related diseases.
Fei Wu, PhD Postdoctoral Research Fellow
Fei completed his Ph.D. degree in interdisciplinary aging studies at Tulane University in 2021. He holds an M.Sc in medical sciences from Institute for Ageing, Newcastle University, and was a scientist in QIAGEN(Suzhou). His research focused on host-pathogen interaction in senescent cells. He hopes his work leads to a better understanding of the aging process and contributes to extending the healthy life span of human beings.
Nazish Sayed, Yingxiang Huang, Khiem Nguyen, Zuzana Krejciova-Rajaniemi, Anissa P. Grawe, Tianxiang Gao, Robert Tibshirani, Trevor Hastie, Ayelet Alpert, Lu Cui, Tatiana Kuznetsova, Yael Rosenberg-Hasson, Rita Ostan, Daniela Monti, Benoit Lehallier, Shai S. Shen-Orr, Holden T. Maecker, Cornelia L. Dekker, Tony Wyss-Coray, Claudio Franceschi, Vladimir Jojic, François Haddad, José G. Montoya, Joseph C. Wu, Mark M. Davis & David Furman. An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging. Nature Aging volume 1, pages 598–615 (2021).
Cesar J. Lopez Angel, Edward A. Pham, Huixun Du, Francesco Vallania, Benjamin J. Fram, Kevin Perez, Thai Nguyen, Yael Rosenberg-Hasson, Aijaz Ahmed, Cornelia L. Dekker, Philip M. Grant, Purvesh Khatri, Holden T. Maecker, Jeffrey S. Glenn, Mark M. Davis, and David Furman. Signatures of immune dysfunction in HIV and HCV infection share features with chronic inflammation in aging and persist after viral reduction or elimination. Proc Natl Acad Sci. 2021 Apr 6;118(14):e2022928118.
- Furman D, Campisi J, Verdin E, Carrera-Bastos P, Targ S, Franceschi C, Ferrucci L, Gilroy DW, Fasano A, Miller GW, Miller AH, Mantovani A, Weyand CM, Barzilai N, Goronzy JJ, Rando T, Effros RB, Lucia A, Kleinstreuer N, Slavich GM. Chronic Inflammation in the Etiology of Disease Across the Lifespan. Nature Medicine volume 25, pages 1822–1832 (2019).
- Alpert A, Pickman Y, Leipold M, Rosenberg-Hasson Y, Ji X, Gaujoux R, Rabani H, Starosvetsky E, Kveler K, Schaffert S, Furman D, Caspi O, Rosenschein U, Khatri P, Dekker CL, Maecker HT, Davis MM, Shen-Orr SS. A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring. Nature Medicine volume 25, pages 487–495 (2019).
- Sayed N, Gao T, Tibshirani R, Hastie T, Cui L, Kuznetsova T, Rosenberg-Hasson Y, Ostan R, Monti D, Lehallier B, Shen-Orr S, Maecker HT, Dekker CL, Wyss-Coray T, Franceschi C, Jojic V, Haddad F, Montoya JG, Wu JC, Furman D. An Inflammatory Clock Predicts Multi-morbidity, Immunosenescence and Cardiovascular Aging in Humans. bioRxiv, 840363, 2019.
- Davis MM, Tato CM, Furman D. Systems Immunology: Just Getting Started. Nature Immunology 2017 Jun 20;18 (7):725-732.
- Alpert A, Pickman Y, Leipold M, Rosenberg-Hasson Y, Ji X, Gaujoux R, Rabani H, Starosvetsky E, Kveler K, Schaffert S, Furman D, Caspi O, Rosenschein U, Khatri P, Dekker CL, Maecker HT, Davis MM, Shen-Orr SS. A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring. Nat Med. 2019 Mar;25(3):487-495.
- Blazkova J, Gupta S, Lui Y, Gaudilliere B, Ganio EA, Bolen CR, Saar Dover R, Fragiadakis GK, Angst MS, Hasni S, Aghaeepour N, Stevenson D, Baldwin N, Anguiano E, Chaussabel D, Altman MC, Kaplan M, Davis MM, Furman D. Multicenter systems analysis of human blood reveals immature neutrophils in males and during pregnancy. Journal of Immunology 2017;198(6):2479-2488.
- Furman D, Chang J, Lartigue L, Bolen CR, Haddad F, Gaudilliere B, Ganio EA, Fragiadakis GK, Spitzer MH, Douchet I, Daburon S, Moreau JF, Nolan GP, Blanco P, Dechanet-Merville J, Dekker CL, Jojic V, Kuo CJ, Davis MM, Faustin B. Expression of specific inflammasome gene modules stratifies older individuals into two extreme clinical and immunological states. Nature Medicine 2017;23(2):174-184.
- Shen-Orr S*, Furman D*, Kidd B, Haddad F, Lovelace P, Huang Y-W, Rosenberg-Hasson Y, Mackey S, Grisar FA, Pickman Y, Maecker H, Chien YH, Dekker C, Wu JC, Butte AJ, Davis MM. Defective signaling in the JAK-STAT pathway tracks with chronic inflammation and cardiovascular risk in aging humans. Cell Systems 2016;3(4):374-384.
- Brodin P, Jojic V, Gao T, Bhattacharya S, Angel CJ, Furman D, Shen-Orr S, Dekker CL, Swan GE, Butte AJ, Maecker HT, Davis MM. Variation in the human immune system is largely driven by non-heritable influences. Cell 2015;160(1-2):37-47.
- Furman D, Jojic V, Sharma S, Shen-Orr S, Lopez Angel CJ, Onengut-Gumuscu S, Kidd B, Maecker HT, Concannon P, Dekker C, Thomas PG, Davis MM. Cytomegalovirus infection enhances the immune response to influenza. Science Translational Medicine 2015;7(281):281ra43.
- Wang C, Liu Y, Xu LT, Jackson KJ, Roskin KM, Pham TD, Laserson J, Marshall EL, Seo K, Lee JY, Furman D, Koller D, Dekker CL, Davis MM, Fire AZ, Boyd SD. Effects of aging, cytomegalovirus infection, and EBV infection on human B cell repertoires. Journal of Immunology 2014;192(2):603-11.
- Furman D*, Jojic V*, Kidd B, Shen-Orr S, Tse T, Lund P, Maecker H, Dekker C, Koller D, Davis MM. Apoptosis and other immune biomarkers predict influenza vaccine responsiveness. Molecular Systems Biology 2013, 9:659.
Dr. Furman’s Pubmed link