single-cell analysis
Taking a Deep Dive into the Alzheimer’s Brain in Search of Understanding and New Targets
Posted on by Lawrence Tabak, D.D.S., Ph.D.
People living with Alzheimer’s disease experience a gradual erosion of memory and thinking skills until they can no longer carry out daily activities. Hallmarks of the disease include the buildup of plaques that collect between neurons, accumulations of tau protein inside neurons and weakening of neural connections. However, there’s still much to learn about what precisely happens in the Alzheimer’s brain and how the disorder’s devastating march might be slowed or even stopped. Alzheimer’s affects more than six million people in the United States and is the seventh leading cause of death among adults in the U.S., according to the National Institute on Aging.
NIH-supported researchers recently published a trove of data in the journal Cell detailing the molecular drivers of Alzheimer’s disease and which cell types in the brain are most likely to be affected.1,2,3,4 The scientists, led by Li-Huei Tsai and Manolis Kellis, both at the Massachusetts Institute of Technology, Cambridge, MA, characterized gene activity at the single-cell level in more than two million cells from postmortem brain tissue. They also assessed DNA damage and surveyed epigenetic changes in cells, which refers to chemical modifications to DNA that alter gene expression in the cell. The findings could help researchers pinpoint new targets for Alzheimer’s disease treatments.
In the first of four studies, the researchers examined 54 brain cell types in 427 brain samples from a cohort of people with varying levels of cognitive impairment that has been followed since 1994.1 The MIT team generated an atlas of gene activity patterns within the brain’s prefrontal cortex, an important area for memory retrieval.
Their analyses in brain samples taken from people with Alzheimer’s dementia showed altered activity in genes involved in various functions. Additional findings showed that people with normal cognitive abilities with evidence of plaques in their brains had more neurons that inhibit or dampen activity in the prefrontal cortex compared to those with Alzheimer’s dementia. The finding suggests that the workings of inhibitory neurons may play an unexpectedly important role in maintaining cognitive resilience despite age-related changes, including the buildup of plaques. It’s one among many discoveries that now warrant further study.
In another report, the researchers compared brain tissues from 48 people without Alzheimer’s to 44 people with early- or late-stage Alzheimer’s.2 They developed a map of the various elements that regulate function within cells in the prefrontal cortex. By cross-referencing epigenomic and gene activity data, the researchers showed changes in many genes with known links to Alzheimer’s disease development and risk.
Their single-cell analysis also showed that these changes most often occur in microglia, which are immune cells that remove cellular waste products from the brain. At the same time, every cell type they studied showed a breakdown over time in the cells’ normal epigenomic patterning, a process that may cause a cell to behave differently as it loses essential aspects of its original identity and function.
In a third report, the researchers looked even deeper into gene activity within the brain’s waste-clearing microglia.3 Based on the activity of hundreds of genes, they were able to define a dozen distinct microglia “states.” They also showed that more microglia enter an inflammatory state in the Alzheimer’s brain compared to a healthy human brain. Fewer microglia in the Alzheimer’s brain were in a healthy, balanced state as well. The findings suggest that treatments that target microglia to reduce inflammation and promote balance may hold promise for treating Alzheimer’s disease.
The fourth and final report zeroed in on DNA damage, inspired in part by earlier findings suggesting greater damage within neurons even before Alzheimer’s symptoms appear.4 In fact, breaks in DNA occur as part of the normal process of forming new memories. But those breaks in the healthy brain are quickly repaired as the brain makes new connections.
The researchers studied postmortem brain tissue samples and found that, over time in the Alzheimer’s brain, the damage exceeds the brain’s ability to repair it. As a result, attempts to put the DNA back together leads to a patchwork of mistakes, including rearrangements in the DNA and fusions as separate genes are merged. Such changes appear to arise especially in genes that control neural connections, which may contribute to the signs and symptoms of Alzheimer’s.
The researchers say they now plan to apply artificial intelligence and other analytic tools to learn even more about Alzheimer’s disease from this trove of data. To speed progress even more, they’ve made all the data freely available online to the research community, where it promises to yield many more fundamentally important discoveries about the precise underpinnings of Alzheimer’s disease in the brain and new ways to intervene in Alzheimer’s dementia.
References:
[1] Mathys H, et al. Single-cell atlas reveals correlates of high cognitive function, dementia, and resilience to Alzheimer’s disease pathology. Cell. DOI: 10.1016/j.cell.2023.08.039. (2023).
[2] Xiong X, et al. Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion. Cell. DOI: 10.1016/j.cell.2023.08.040. (2023).
[3] Sun N, et al. Human microglial state dynamics in Alzheimer’s disease progression. Cell. DOIi: 10.1016/j.cell.2023.08.037. (2023).
[4] Dileep V, et al. Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration. Cell. 2023 DOI: 10.1016/j.cell.2023.08.038. (2023).
NIH Support: National Institute on Aging, National Institute of Neurological Disorders and Stroke, National Institute of Mental Health, National Institute of General Medical Sciences
New 3D Atlas of Colorectal Cancer Promises Improved Diagnosis, Treatment
Posted on by Lawrence Tabak, D.D.S., Ph.D.
This year, too many Americans will go to the doctor for tissue biopsies to find out if they have cancer. Highly trained pathologists will examine the biopsies under a microscope for unusual cells that show the telltale physical features of a suspected cancer. As informative as the pathology will be for considering the road ahead, it would be even more helpful if pathologists had the tools to look widely inside cells for the actual molecules giving rise to the tumor.
Working this “molecular information” into the pathology report would bring greater diagnostic precision, drilling down to the actual biology driving the growth of the tumor. It also would help doctors to match the right treatments to a patient’s tumor and not waste time on drugs that will be ineffective.
That’s why researchers have been busy building the needed tools and also mapping out molecular atlases of common cancers. These atlases, really a series of 3D spatial maps detailing various biological features within the tumor, keep getting better all the time. That includes the comprehensive atlas of colorectal cancer just published in the journal Cell [1].
This colorectal atlas comes from an NIH-supported team led by Sandro Santagata, Brigham and Women’s Hospital, Boston, and Peter Sorger, Harvard Medical School, Cambridge, MA, in collaboration with investigators at Vanderbilt University, Nashville, TN. The colorectal atlas joins their previously published high-definition map of melanoma [2], and both are part of the Human Tumor Atlas Network that’s supported by NIH’s National Cancer Institute.
What’s so interesting with the colorectal atlas is the team combined traditional pathology with a sophisticated technique for imaging single cells, enabling them to capture their fine molecular details in an unprecedented way.
They did it using a cutting-edge technique known as cyclic immunofluorescence, or CyCIF. In CyCIF, researchers use many rounds of highly detailed molecular imaging on each tissue sample to generate a rich collection of molecular-level data, cell by cell. Altogether, the researchers captured this fine-scale visual information for nearly 100 million cancer cells isolated from tumor samples representing 93 individuals diagnosed with colorectal cancer.
With this single-cell information in hand, they next created detailed 2D maps covering the length and breadth of large portions of the colorectal cancers under study. Finally, with the aid of first author Jia-Ren Lin, also at Harvard Medical School, and colleagues they stitched together their 2D maps to produce detailed 3D reconstructions showing the length, breadth, and height of the tumors.
This more detailed view of colorectal cancer has allowed the team to explore differences between normal and tumor tissues, as well as variations within an individual tumor. In fact, they’ve uncovered physical features that had never been discovered.
For instance, an individual tumor has regions populated with malignant cells, while other areas look less affected by the cancer. In between are transitional areas that correspond to molecular gradients of information. With this high-resolution map as their guide, researchers can now study what this all might mean for the diagnosis, treatment, and prognosis of colorectal cancer.
The atlas also shows that the presence of immune cells varies dramatically within a single tumor. That’s an important discovery because of its potential implications for immunotherapies, in which treatments aim to unleash the immune system in the fight against cancer.
The maps also provide new insights into tumor structure. For example, scientists had previously identified what they thought were 2D pools of a mucus-like substance called mucin with clusters of cancer cells suspended inside. However, the new 3D reconstruction make clear that these aren’t simple mucin pools. Rather, they are cross sections of larger intricate caverns of mucin interconnected by channels, into which cancer cells make finger-like projections.
The good news is the researchers already are helping to bring these methods into the cancer clinic. They also hope to train other scientists to build their own cancer atlases and grow the collection even more.
In the meantime, the team will refine its 3D tumor reconstructions by integrating new imaging technologies and even more data into their maps. It also will map many more colorectal cancer samples to capture the diversity of their basic biology. Also of note, having created atlases for melanoma and colorectal cancer, the team has plans to tackle breast and brain cancers next.
Let me close by saying, if you’re between the ages of 45 and 75, don’t forget to stay up to date on your colorectal cancer screenings. These tests are very good, and they could save your life.
References:
[1] Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer. Lin JR, Wang S, Coy S, Chen YA, Yapp C, Tyler M, Nariya MK, Heiser CN, Lau KS, Santagata S, Sorger PK. Cell. 2023 Jan 19;186(2):363-381.e19.
[2] The spatial landscape of progression and immunoediting in primary melanoma at single-cell resolution. Nirmal AJ, Maliga Z, Vallius T, Quattrochi B, Chen AA, Jacobson CA, Pelletier RJ, Yapp C, Arias-Camison R, Chen YA, Lian CG, Murphy GF, Santagata S, Sorger PK. Cancer Discov. 2022 Jun 2;12(6):1518-1541.
Links:
Colorectal Cancer (National Cancer Institute/NIH)
Human Tumor Atlas Network (NCI)
CyCIF-Cyclic Immunofluorescence (Harvard Medical School, Cambridge, MA)
Sandro Santagata (Brigham and Women’s Hospital, Boston)
Peter Sorger (Harvard Medical School)
Jia-Ren Lin (Harvard Medical School)
NIH Support: National Cancer Institute; National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases
Millions of Single-Cell Analyses Yield Most Comprehensive Human Cell Atlas Yet
Posted on by Lawrence Tabak, D.D.S., Ph.D.
There are 37 trillion or so cells in our bodies that work together to give us life. But it may surprise you that we still haven’t put a good number on how many distinct cell types there are within those trillions of cells.
That’s why in 2016, a team of researchers from around the globe launched a historic project called the Human Cell Atlas (HCA) consortium to identify and define the hundreds of presumed distinct cell types in our bodies. Knowing where each cell type resides in the body, and which genes each one turns on or off to create its own unique molecular identity, will revolutionize our studies of human biology and medicine across the board.
Since its launch, the HCA has progressed rapidly. In fact, it has already reached an important milestone with the recent publication in the journal Science of four studies that, together, comprise the first multi-tissue drafts of the human cell atlas. This draft, based on analyses of millions of cells, defines more than 500 different cell types in more than 30 human tissues. A second draft, with even finer definition, is already in the works.
Making the HCA possible are recent technological advances in RNA sequencing. RNA sequencing is a topic that’s been mentioned frequently on this blog in a range of research areas, from neuroscience to skin rashes. Researchers use it to detect and analyze all the messenger RNA (mRNA) molecules in a biological sample, in this case individual human cells from a wide range of tissues, organs, and individuals who voluntarily donated their tissues.
By quantifying these RNA messages, researchers can capture the thousands of genes that any given cell actively expresses at any one time. These precise gene expression profiles can be used to catalogue cells from throughout the body and understand the important similarities and differences among them.
In one of the published studies, funded in part by the NIH, a team co-led by Aviv Regev, a founding co-chair of the consortium at the Broad Institute of MIT and Harvard, Cambridge, MA, established a framework for multi-tissue human cell atlases [1]. (Regev is now on leave from the Broad Institute and MIT and has recently moved to Genentech Research and Early Development, South San Francisco, CA.)
Among its many advances, Regev’s team optimized single-cell RNA sequencing for use on cell nuclei isolated from frozen tissue. This technological advance paved the way for single-cell analyses of the vast numbers of samples that are stored in research collections and freezers all around the world.
Using their new pipeline, Regev and team built an atlas including more than 200,000 single-cell RNA sequence profiles from eight tissue types collected from 16 individuals. These samples were archived earlier by NIH’s Genotype-Tissue Expression (GTEx) project. The team’s data revealed unexpected differences among cell types but surprising similarities, too.
For example, they found that genetic profiles seen in muscle cells were also present in connective tissue cells in the lungs. Using novel machine learning approaches to help make sense of their data, they’ve linked the cells in their atlases with thousands of genetic diseases and traits to identify cell types and genetic profiles that may contribute to a wide range of human conditions.
By cross-referencing 6,000 genes previously implicated in causing specific genetic disorders with their single-cell genetic profiles, they identified new cell types that may play unexpected roles. For instance, they found some non-muscle cells that may play a role in muscular dystrophy, a group of conditions in which muscles progressively weaken. More research will be needed to make sense of these fascinating, but vital, discoveries.
The team also compared genes that are more active in specific cell types to genes with previously identified links to more complex conditions. Again, their data surprised them. They identified new cell types that may play a role in conditions such as heart disease and inflammatory bowel disease.
Two of the other papers, one of which was funded in part by NIH, explored the immune system, especially the similarities and differences among immune cells that reside in specific tissues, such as scavenging macrophages [2,3] This is a critical area of study. Most of our understanding of the immune system comes from immune cells that circulate in the bloodstream, not these resident macrophages and other immune cells.
These immune cell atlases, which are still first drafts, already provide an invaluable resource toward designing new treatments to bolster immune responses, such as vaccines and anti-cancer treatments. They also may have implications for understanding what goes wrong in various autoimmune conditions.
Scientists have been working for more than 150 years to characterize the trillions of cells in our bodies. Thanks to this timely effort and its advances in describing and cataloguing cell types, we now have a much better foundation for understanding these fundamental units of the human body.
But the latest data are just the tip of the iceberg, with vast flows of biological information from throughout the human body surely to be released in the years ahead. And while consortium members continue making history, their hard work to date is freely available to the scientific community to explore critical biological questions with far-reaching implications for human health and disease.
References:
[1] Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function. Eraslan G, Drokhlyansky E, Anand S, Fiskin E, Subramanian A, Segrè AV, Aguet F, Rozenblatt-Rosen O, Ardlie KG, Regev A, et al. Science. 2022 May 13;376(6594):eabl4290.
[2] Cross-tissue immune cell analysis reveals tissue-specific features in humans. Domínguez Conde C, Xu C, Jarvis LB, Rainbow DB, Farber DL, Saeb-Parsy K, Jones JL,Teichmann SA, et al. Science. 2022 May 13;376(6594):eabl5197.
[3] Mapping the developing human immune system across organs. Suo C, Dann E, Goh I, Jardine L, Marioni JC, Clatworthy MR, Haniffa M, Teichmann SA, et al. Science. 2022 May 12:eabo0510.
Links:
Ribonucleic acid (RNA) (National Human Genome Research Institute/NIH)
Studying Cells (National Institute of General Medical Sciences/NIH)
Regev Lab (Broad Institute of MIT and Harvard, Cambridge, MA)
NIH Support: Common Fund; National Cancer Institute; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Institute on Drug Abuse; National Institute of Mental Health; National Institute on Aging; National Institute of Allergy and Infectious Diseases; National Institute of Neurological Disorders and Stroke; National Eye Institute
A More Precise Way to Knock Out Skin Rashes
Posted on by Lawrence Tabak, D.D.S., Ph.D.
The NIH is committed to building a new era in medicine in which the delivery of health care is tailored specifically to the individual person, not the hypothetical average patient as is now often the case. This new era of “precision medicine” will transform care for many life-threatening diseases, including cancer and chronic kidney disease. But what about non-life-threatening conditions, like the aggravating rash on your skin that just won’t go away?
Recently, researchers published a proof-of-principle paper in the journal Science Immunology demonstrating just how precision medicine for inflammatory skin rashes might work [1]. While more research is needed to build out and further refine the approach, the researchers show it’s now technologically possible to extract immune cells from a patient’s rash, read each cell’s exact inflammatory features, and relatively quickly match them online to the right anti-inflammatory treatment to stop the rash.
The work comes from a NIH-funded team led by Jeffrey Cheng and Raymond Cho, University of California, San Francisco. The researchers focused their attention on two inflammatory skin conditions: atopic dermatitis, the most common type of eczema, which flares up periodically to make skin red and itchy, and psoriasis vulgaris. Psoriasis causes skin cells to build up and form a scaly rash and dry, itchy patches. Together, atopic dermatitis and psoriasis vulgaris affect about 10 percent of U.S. adults.
While the rashes caused by the two conditions can sometimes look similar, they are driven by different sets of immune cells and underlying inflammatory responses. For that reason, distinct biologic therapies, based on antibodies and proteins made from living cells, are now available to target and modify the specific immune pathways underlying each condition.
While biologic therapies represent a major treatment advance for these and other inflammatory conditions, they can miss their targets. Indeed, up to half of patients don’t improve substantially on biologics. Part of the reason for that lack of improvement is because doctors don’t have the tools they need to make firm diagnoses based on what precisely is going on in the skin at the molecular and cellular levels.
To learn more in the new study, the researchers isolated immune cells, focusing primarily on T cells, from the skin of 31 volunteers. They then sequenced the RNA of each cell to provide a telltale portrait of its genomic features. This “single-cell analysis” allowed them to capture high-resolution portraits of 41 different immune cell types found in individual skin samples. That’s important because it offers a much more detailed understanding of changes in the behavior of various immune cells that might have been missed in studies focused on larger groupings of skin cells, representing mixtures of various cell types.
Of the 31 volunteers, seven had atopic dermatitis and eight had psoriasis vulgaris. Three others were diagnosed with other skin conditions, while six had an indeterminate rash with features of both atopic dermatitis and psoriasis vulgaris. Seven others were healthy controls.
The team produced molecular signatures of the immune cells. The researchers then compared the signatures from the hard-to-diagnose rashes to those of confirmed cases of atopic dermatitis and psoriasis. They wanted to see if the signatures could help to reach clearer diagnoses.
The signatures revealed common immunological features as well as underlying differences. Importantly, the researchers found that the signatures allowed them to move forward and classify the indeterminate rashes. The rashes also responded to biologic therapies corresponding to the individuals’ new diagnoses.
Already, the work has identified molecules that help to define major classes of human inflammatory skin diseases. The team has also developed computer tools to help classify rashes in many other cases where the diagnosis is otherwise uncertain.
In fact, the researchers have launched a pioneering website called RashX. It is enabling practicing dermatologists and researchers around the world to submit their single-cell RNA data from their difficult cases. Such analyses are now being done at a small, but growing, number of academic medical centers.
While precision medicine for skin rashes has a long way to go yet before reaching most clinics, the UCSF team is working diligently to ensure its arrival as soon as scientifically possible. Indeed, their new data represent the beginnings of an openly available inflammatory skin disease resource. They ultimately hope to generate a standardized framework to link molecular features to disease prognosis and drug response based on data collected from clinical centers worldwide. It’s a major effort, but one that promises to improve the diagnosis and treatment of many more unusual and long-lasting rashes, both now and into the future.
Reference:
[1] Classification of human chronic inflammatory skin disease based on single-cell immune profiling. Liu Y, Wang H, Taylor M, Cook C, Martínez-Berdeja A, North JP, Harirchian P, Hailer AA, Zhao Z, Ghadially R, Ricardo-Gonzalez RR, Grekin RC, Mauro TM, Kim E, Choi J, Purdom E, Cho RJ, Cheng JB. Sci Immunol. 2022 Apr 15;7(70):eabl9165. {Epub ahead of publication]
Links:
The Promise of Precision Medicine (NIH)
Atopic Dermatitis (National Institute of Arthritis and Musculoskeletal and Skin Diseases /NIH)
Psoriasis (NIAMS/NIH)
RashX (University of California, San Francisco)
Raymond Cho (UCSF)
Jeffrey Cheng (UCSF)
NIH Support: National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Center for Advancing Translational Sciences
First Comprehensive Census of Cell Types in Brain Area Controlling Movement
Posted on by Dr. Francis Collins
The primary motor cortex is the part of the brain that enables most of our skilled movements, whether it’s walking, texting on our phones, strumming a guitar, or even spiking a volleyball. The region remains a major research focus, and that’s why NIH’s Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative – Cell Census Network (BICCN) has just unveiled two groundbreaking resources: a complete census of cell types present in the mammalian primary motor cortex, along with the first detailed atlas of the region, located along the back of the frontal lobe in humans (purple stripe above).
This remarkably comprehensive work, detailed in a flagship paper and more than a dozen associated articles published in the journal Nature, promises to vastly expand our understanding of the primary motor cortex and how it works to keep us moving [1]. The papers also represent the collaborative efforts of more than 250 BICCN scientists from around the world, teaming up over many years.
Started in 2013, the BRAIN Initiative is an ambitious project with a range of groundbreaking goals, including the creation of an open-access reference atlas that catalogues all of the brain’s many billions of cells. The primary motor cortex was one of the best places to get started on assembling an atlas because it is known to be well conserved across mammalian species, from mouse to human. There’s also a rich body of work to aid understanding of more precise cell-type information.
Taking advantage of recent technological advances in single-cell analysis, the researchers categorized into different types the millions of neurons and other cells in this brain region. They did so on the basis of morphology, or shape, of the cells, as well as their locations and connections to other cells. The researchers went even further to characterize and sort cells based on: their complex patterns of gene expression, the presence or absence of chemical (or epigenetic) marks on their DNA, the way their chromosomes are packaged into chromatin, and their electrical properties.
The new data and analyses offer compelling evidence that neural cells do indeed fall into distinct types, with a high degree of correspondence across their molecular genetic, anatomical, and physiological features. These findings support the notion that neural cells can be classified into molecularly defined types that are also highly conserved or shared across mammalian species.
So, how many cell types are there? While that’s an obvious question, it doesn’t have an easy answer. The number varies depending upon the method used for sorting them. The researchers report that they have identified about 25 classes of cells, including 16 different neuronal classes and nine non-neuronal classes, each composed of multiple subtypes of cells.
These 25 classes were determined by their genetic profiles, their locations, and other characteristics. They also showed up consistently across species and using different experimental approaches, suggesting that they have important roles in the neural circuitry and function of the motor cortex in mammals.
Still, many precise features of the cells don’t fall neatly into these categories. In fact, by focusing on gene expression within single cells of the motor cortex, the researchers identified more potentially important cell subtypes, which fall into roughly 100 different clusters, or distinct groups. As scientists continue to examine this brain region and others using the latest new methods and approaches, it’s likely that the precise number of recognized cell types will continue to grow and evolve a bit.
This resource will now serve as a springboard for future research into the structure and function of the brain, both within and across species. The datasets already have been organized and made publicly available for scientists around the world.
The atlas also now provides a foundation for more in-depth study of cell types in other parts of the mammalian brain. The BICCN is already engaged in an effort to generate a brain-wide cell atlas in the mouse, and is working to expand coverage in the atlas for other parts of the human brain.
The cell census and atlas of the primary motor cortex are important scientific advances with major implications for medicine. Strokes commonly affect this region of the brain, leading to partial or complete paralysis of the opposite side of the body.
By considering how well cell census information aligns across species, scientists also can make more informed choices about the best models to use for deepening our understanding of brain disorders. Ultimately, these efforts and others underway will help to enable precise targeting of specific cell types and to treat a wide range of brain disorders that affect thinking, memory, mood, and movement.
Reference:
[1] A multimodal cell census and atlas of the mammalian primary motor cortex. BRAIN Initiative Cell Census Network (BICCN). Nature. Oct 6, 2021.
Links:
NIH Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative (NIH)
BRAIN Initiative – Cell Census Network (BICCN) (NIH)
NIH Support: National Institute of Mental Health; National Institute of Neurological Disorders and Stroke
How COVID-19 Can Lead to Diabetes
Posted on by Dr. Francis Collins
Along with the pneumonia, blood clots, and other serious health concerns caused by SARS-CoV-2, the COVID-19 virus, some studies have also identified another troubling connection. Some people can develop diabetes after an acute COVID-19 infection.
What’s going on? Two new NIH-supported studies, now available as pre-proofs in the journal Cell Metabolism [1,2], help to answer this important question, confirming that SARS-CoV-2 can target and impair the body’s insulin-producing cells.
Type 1 diabetes occurs when beta cells in the pancreas don’t secrete enough insulin to allow the body to metabolize food optimally after a meal. As a result of this insulin insufficiency, blood glucose levels go up, the hallmark of diabetes.
Earlier lab studies had suggested that SARS-CoV-2 can infect human beta cells [3]. They also showed that this dangerous virus can replicate in these insulin-producing beta cells, to make more copies of itself and spread to other cells [4].
The latest work builds on these earlier studies to discover more about the connection between COVID-19 and diabetes. The work involved two independent NIH-funded teams, one led by Peter Jackson, Stanford University School of Medicine, Palo Alto, CA, and the other by Shuibing Chen, Weill Cornell Medicine, New York. I’m actually among the co-authors on the study by the Chen team, as some of the studies were conducted in my lab at NIH’s National Human Genome Research Institute, Bethesda, MD.
Both studies confirmed infection of pancreatic beta cells in autopsy samples from people who died of COVID-19. Additional studies by the Jackson team suggest that the coronavirus may preferentially infect the insulin-producing beta cells.
This also makes biological sense. Beta cells and other cell types in the pancreas express the ACE2 receptor protein, the TMPRSS2 enzyme protein, and neuropilin 1 (NRP1), all of which SARS-CoV-2 depends upon to enter and infect human cells. Indeed, the Chen team saw signs of the coronavirus in both insulin-producing beta cells and several other pancreatic cell types in the studies of autopsied pancreatic tissue.
The new findings also show that the coronavirus infection changes the function of islets—the pancreatic tissue that contains beta cells. Both teams report evidence that infection with SARS-CoV-2 leads to reduced production and release of insulin from pancreatic islet tissue. The Jackson team also found that the infection leads directly to the death of some of those all-important beta cells. Encouragingly, they showed this could avoided by blocking NRP1.
In addition to the loss of beta cells, the infection also appears to change the fate of the surviving cells. Chen’s team performed single-cell analysis to get a careful look at changes in the gene activity within pancreatic cells following SARS-CoV-2 infection. These studies showed that beta cells go through a process of transdifferentiation, in which they appeared to get reprogrammed.
In this process, the cells begin producing less insulin and more glucagon, a hormone that encourages glycogen in the liver to be broken down into glucose. They also began producing higher levels of a digestive enzyme called trypsin 1. Importantly, they also showed that this transdifferentiation process could be reversed by a chemical (called trans-ISRIB) known to reduce an important cellular response to stress.
The consequences of this transdifferentiation of beta cells aren’t yet clear, but would be predicted to worsen insulin deficiency and raise blood glucose levels. More study is needed to understand how SARS-CoV-2 reaches the pancreas and what role the immune system might play in the resulting damage. Above all, this work provides yet another reminder of the importance of protecting yourself, your family members, and your community from COVID-19 by getting vaccinated if you haven’t already—and encouraging your loved ones to do the same.
References:
[1] SARS-CoV-2 infection induces beta cell transdifferentiation. Tang et al. Cell Metab 2021 May 19;S1550-4131(21)00232-1.
[2] SARS-CoV-2 infects human pancreatic beta cells and elicits beta cell impairment. Wu et al. Cell Metab. 2021 May 18;S1550-4131(21)00230-8.
[3] A human pluripotent stem cell-based platform to study SARS-CoV-2 tropism and model virus infection in human cells and organoids. Yang L, Han Y, Nilsson-Payant BE, Evans T, Schwartz RE, Chen S, et al. Cell Stem Cell. 2020 Jul 2;27(1):125-136.e7.
[4] SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas. Müller JA, Groß R, Conzelmann C, Münch J, Heller S, Kleger A, et al. Nat Metab. 2021 Feb;3(2):149-165.
Links:
COVID-19 Research (NIH)
Type 1 Diabetes (National Institute of Diabetes, Digestive and Kidney Disorders/NIH)
Jackson Lab (Stanford Medicine, Palo Alto, CA)
Shuibing Chen Laboratory (Weill Cornell Medicine, New York City)
NIH Support: National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Institute of General Medical Sciences; National Cancer Institute; National Institute of Allergy and Infectious Diseases; Eunice Kennedy Shriver National Institute of Child Health and Human Development
Replenishing the Liver’s Immune Protections
Posted on by Dr. Francis Collins
Most of our immune cells circulate throughout the bloodstream to serve as a roving security force against infection. But some immune cells don’t travel much at all and instead safeguard a specific organ or tissue. That’s what you are seeing in this electron micrograph of a type of scavenging macrophage, called a Kupffer cell (green), which resides exclusively in the liver (brown).
Normally, Kupffer cells appear in the liver during the early stages of mammalian development and stay put throughout life to protect liver cells, clean up old red blood cells, and regulate iron levels. But in their experimental system, Christopher Glass and his colleagues from University of California, San Diego, removed all original Kupffer cells from a young mouse to see if this would allow signals from the liver that encourage the development of new Kupffer cells.
The NIH-funded researchers succeeded in setting up the right conditions to spur a heavy influx of circulating precursor immune cells, called monocytes, into the liver, and then prompted those monocytes to turn into the replacement Kupffer cells. In a recent study in the journal Immunity, the team details the specific genomic changes required for the monocytes to differentiate into Kupffer cells [1]. This information will help advance the study of Kupffer cells and their role in many liver diseases, including nonalcoholic steatohepatitis (NASH), which affects an estimated 3 to 12 percent of U.S. adults [2].
The new work also has broad implications for immunology research because it provides additional evidence that circulating monocytes contain genomic instructions that, when activated in the right way by nearby cells or other factors, can prompt the monocytes to develop into various, specialized types of scavenging macrophages. For example, in the mouse system, Glass’s team found that the endothelial cells lining the liver’s blood vessels, which is where Kupffer cells hang out, emit biochemical distress signals when their immune neighbors disappear.
While more details need to be worked out, this study is another excellent example of how basic research, including the ability to query single cells about their gene expression programs, is generating fundamental knowledge about the nature and behavior of living systems. Such knowledge is opening new possibilities to more precise ways of treating and preventing diseases all throughout the body, including those involving Kupffer cells and the liver.
References:
[1] Liver-Derived Signals Sequentially Reprogram Myeloid Enhancers to Initiate and Maintain Kupffer Cell Identity. Sakai M, Troutman TD, Seidman JS, Ouyang Z, Spann NJ, Abe Y, Ego KM, Bruni CM, Deng Z, Schlachetzki JCM, Nott A, Bennett H, Chang J, Vu BT, Pasillas MP, Link VM, Texari L, Heinz S, Thompson BM, McDonald JG, Geissmann F3, Glass CK. Immunity. 2019 Oct 15;51(4):655-670.
[2] Recommendations for diagnosis, referral for liver biopsy, and treatment of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. Spengler EK, Loomba R. Mayo Clinic Proceedings. 2015;90(9):1233–1246.
Links:
Liver Disease (National Institute of Diabetes and Digestive and Kidney Diseases/NIH)
Nonalcoholic Fatty Liver Disease & NASH (NIDDK)
Glass Laboratory (University of California, San Diego)
NIH Support: National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute of General Medical Sciences; National Cancer Institute
