The Pluznick Lab is interested in the role that chemosensation plays in regulating physiological processes, particularly in the kidney and the cardiovascular system. We have found that sensory receptors (olfactory receptors, taste receptors, and other G-protein coupled receptors) are expressed in the kidney and in blood vessels, and that individual receptors play functional roles in whole-animal physiology. We are currently working to identify the full complement of sensory receptors found in the kidney, and are working to understand the role that each receptor plays in whole-animal physiology by using a variety of in vitro (receptor localization, ligand screening) and in vivo (whole-animal physiology) techniques.

The Post Lab is involved in the Multi-Ethnic Study of Atherosclerosis (MESA), a collaborative study of the characteristics of subclinical cardiovascular disease (that is, disease detected non-invasively before it has produced clinical signs and symptoms) and the risk factors that predict progression to clinically overt cardiovascular disease or progression of the subclinical disease. As MESA researchers, we study a diverse, population-based sample of 6,814 asymptomatic men and women aged 45-84. Approximately 38 percent of the recruited participants are white, 28 percent African-American, 22 percent Hispanic, and 12 percent Asian, predominantly of Chinese descent. Participants were recruited from six field centers across the United States, including Johns Hopkins University. Each participant received an extensive physical exam to determine a number of conditions, including coronary calcification, ventricular mass and function, flow-mediated endothelial vasodilation, standard coronary risk factors, sociodemographic factors, lifestyle factors, and psychosocial factors. Selected repetition of subclinical disease measures and risk factors at follow-up visits have allowed study of the progression of disease. Participants are being followed for identification and characterization of cardiovascular disease events, including acute myocardial infarction and other forms of coronary heart disease (CHD), stroke, and congestive heart failure; for cardiovascular disease interventions; and for mortality. Wendy S. Post, MD, MS, is an associate faculty, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, and a professor of medicine.

Psychiatric Neuroimaging (PNI) is active in neuropsychiatric research using imaging methods such as MRI, fMRI, PET and DTI to understand the mechanisms and brain networks underlying human cognition. PNI faculty have published hundreds of papers on a variety of brain disorders which include but are not limited to Alzheimer's disease, Parkinson's disease, bipolar disorder, and eating disorders. Faculty in the division have been awarded numerous peer-reviewed grants by the National Institutes of Health, foundations and other funding organizations.

The Jia lab performs basic and translational research into the mechanisms of and therapeutic strategy for viral and bacterial infection-induced inflammatory lung diseases, one of the leading causes of death in pulmonary diseases, especially for the ongoing pandemic of the SARS-CoV-2 mediated COVID-19. Our work has identified novel roles of Angiotensin-converting enzyme 2 (ACE2) in the inflammatory response to viral and bacterial lung infection and its complex contributions into the pathogenesis and disease progression and outcome of COVID-19. In seeking to translate these findings to clinical studies, we have been working on a collaboration with other investigators, developing novel diagnostic, preventive, and therapeutic tools in combating the devastating COVID-19, even in the era of effective vaccine prevention. These studies are funded by NIAID.

The primary area of statistical expertise in the Qian-Li Xue Lab is the development and application of statistical methods for: (1) handling the truncation of information on underlying or unobservable outcomes (e.g., disability) as a result of screening, (2) missing data, including outcome (e.g., frailty) censoring by a competing risk (e.g., mortality) and (3) trajectory analysis of multivariate outcomes. Other areas of methodologic research interests include multivariate, latent variable models. In Women's Health and Aging Studies, we have closely collaborated with scientific investigators on the design and analysis of longitudinal data relating biomarkers of inflammation, hormonal dysregulation and micronutrient deficiencies to the development and progression of frailty and disability, as well as characterizing the natural history of change in cognitive and physical function over time.

Research in the Quantitative Imaging Technologies lab — a component of the Imaging for Surgery, Therapy and Radiology (I-STAR) Lab — focuses on novel technologies to derive accurate structural and physiological measurements from medical images. Our team works on optimization of imaging systems and algorithms to support a variety of quantitative applications, with recent focus on orthopedics and bone health. For example, we have developed an ultra-high resolution imaging chain for an orthopedic CT system to enable in-vivo measurements of bone microstructure. Our interests also include automated methods to extract quantitative information from images, including anatomical and micro-structural measurements, and shape analysis.

Our mission is to reveal the molecular logic of our intelligence in health and disease. We use advanced molecular biological tools and state-of-the-art neuroscience to test the role of synaptic and neuronal molecules in the dynamics of the living brain.

Artificial neural networks have been heavily inspired by the brain’s architecture, guiding our journey to discovering the keys to intelligence. We now find ourselves at a pivotal moment: today's AI systems surpass biological circuits in certain tasks, yet we still lack a fundamental understanding of the mechanisms behind the brain’s superior cognitive flexibility and efficiency. At Ingie Hong’s Quantitative Intelligence Lab, we are dedicated to unraveling the principles that enable the mammalian cortex to achieve remarkable feats of intelligence, including rapid learning, generalization, and inference across vast stores of memory.

A single neuron’s response depends on its synaptic connections and intrinsic properties, which are dictated by the expression of neuronal genes. However, the role of these molecules in brain computations remains largely uncharted territory. Focusing on the mouse visual cortex as a starting point for broader generalization, and using large-scale electrophysiology, advanced microscopy, and machine learning, we have begun to uncover the impact of key synaptic genes on cortical processing and their role in the brain’s “working algorithm” (Hong et al., Nature, 2024). Our molecular tools, including gene therapy vectors and antisense oligonucleotides, show promise as effective therapeutic candidates.

Our research will advance the nascent field of 'neurocomputational therapeutics'—innovative genetic and pharmacological tools that address biases in neural activity. These tools will not only facilitate the development of novel mechanism-based treatments for brain disorders but also inspire the next generation of intelligent artificial neural networks.

Work in the Rachel Damico Lab explores topics within the fields of vascular biology and pulmonary medicine, with a focus on acute lung injury and apoptosis in lung diseases. Our studies have included examining idiopathic and scleroderma-associated pulmonary arterial hypertension, vascular receptor autoantibodies, and the link between inflammation and the Warburg phenomenon in patients with pulmonary arterial hypertension. We have also researched the inhibitory factor of macrophage migration and its governing of endothelial cell sensitivity to LPS-induced apoptosis.

The Rachel Levine Lab is interested in physician growth and well-being, best practices for advising medical students, and the experiences of women faculty and medical students in medicine.

The Radionuclide Therapy and Dosimetry Research Lab is focused on modeling and dosimetry analysis of radionuclide therapy to support the translation of novel targeted radionuclide therapy strategies to the clinic. The research is divided between laboratory studies and patient-specific dosimetry, radiobiological modeling studies, alpha-particle dosimetry, and mathematical modeling of radionuclide therapy. The lab is currently engaged in pre-clinical research investigating targeted alpha-emitter therapy of metastatic cancer.