immune cells
Mapping Immune Cell “Neighborhoods” in Psoriasis to Understand its Course
Posted on by Lawrence Tabak, D.D.S., Ph.D.

“Location, location, location.” While most of us know this phrase as a real estate adage, location—specifically that of various cell types—is becoming a key area of investigation in studying human disease. New techniques are enabling scientists to understand where certain cells are with respect to one another and how changes in their activity may affect your overall health.
In one recent example of the power of this approach, NIH-funded researchers [1] used a sophisticated method to map immune cells within human skin to get a more detailed picture of psoriasis, a common, chronic disease in which the immune system becomes overactive leading to skin inflammation. People with psoriasis develop patches of itchy, red, and flaky lesions on their skin, which can be mild to severe. For reasons that aren’t entirely clear, they’re also at higher risk for developing a wide range of other health conditions, including a unique form of arthritis known as psoriatic arthritis, diabetes, mental health issues, heart problems, and more.
The hope is that these newly drawn, precise maps of cellular “neighborhoods” in human skin will help chart the precise course of this disease to understand better the differences between mild and more severe forms. They may also yield important clues as to why people with psoriasis develop other health problems more often than people without psoriasis.
In the new study, a team including Jose Scher and Shruti Naik, NYU Langone, New York, analyzed immune cells within 25 skin samples from 14 volunteers, including those with active psoriasis, those with psoriasis but no active lesions, and people with healthy skin who do not have psoriasis. The researchers relied on a sophisticated approach called spatial transcriptomics [2] to map out what happens at the single-cell level within the samples.
In earlier approaches to single-cell analysis, researchers first would separate cells from the tissue they came from. While they could measure gene activity within those cells at the individual level, they couldn’t put things back together to see how they all fit. With spatial transcriptomics, it’s now possible to molecularly profile single cells to measure their activity in a tissue sample while also mapping their locations with respect to other cells.
The new study led to some intriguing findings. For instance, certain immune cells, specifically B cells, moved to the upper layers of the skin during active disease. That’s notable because prior studies had been unable to capture B cells in the skin adequately, and these cells are thought to play an important role in the disease.
Interestingly, the spatial cellular maps revealed inflammatory regions in both actively inflamed skin and in skin that appeared healthy. This finding highlights the fact that the inflammation that goes with psoriasis can affect the skin, and likely other parts of the body, in ways that aren’t easily observed. In future studies, the researchers want to explore how the presence of psoriasis and its underlying changes in immune cell activity may influence other organs and tissues beneath the skin.
Their fine-scale maps also showed increased gene activity in dozens of molecular pathways that are tied to metabolism and the control of lipid levels. That’s especially interesting because these factors are known to go awry in diabetes and heart conditions, which happen more often in people with psoriasis compared to those without. They also could see in their maps that this altered activity sometimes occurred in clear skin distant from any apparent lesions.
Having discovered such signals with potential consequences for other parts of the body, the researchers report that they’re working to understand how inflammatory immune cells and processes in the skin may lead to more widespread disease processes that affect other parts of the body. They plan to conduct similar studies in larger groups of people with and without active psoriasis lesions and studies following individuals with psoriasis over time. They’ll also explore questions about why people respond differently to the same anti-inflammatory treatment regimens.
To speed the process of discovery, they’ve made their maps and associated data freely available as a resource for the scientific community. About 7.5 million adults in the U.S. and millions more worldwide have psoriasis and associated psoriatic conditions [3]. The hope is that these maps will one day help to steer them toward a healthier future.
References:
[1] Spatial transcriptomics stratifies psoriatic disease severity by emergent cellular ecosystems. Castillo RL, Sidhu I, Dolgalev I, Chu T, Prystupa A, Subudhi I, Yan D, Konieczny P, Hsieh B, Haberman RH, Selvaraj S, Shiomi T, Medina R, Girija PV, Heguy A, Loomis CA, Chiriboga L, Ritchlin C, Garcia-Hernandez ML, Carucci J, Meehan SA, Neimann AL, Gudjonsson JE, Scher JU, Naik S. Sci Immunol. 2023 Jun 8;8(84):eabq7991. doi: 10.1126/sciimmunol.abq7991.
[2] Method of the Year: spatially resolved transcriptomics. Marx V. Nat Methods. 2021 Jan;18(1):9-14. doi: 10.1038/s41592-020-01033-y.
[3] Psoriasis Prevalence in Adults in the United States. Armstrong AW, Mehta MD, Schupp CW, Gondo GC, Bell SJ, Griffiths CEM. JAMA Dermatol. 2021 Aug 1;157(8):940-946. doi: 10.1001/jamadermatol.2021.2007.
Links:
Psoriasis (National Institute of Arthritis and Musculoskeletal and Skin Diseases/NIH)
Jose Scher (NYU Langone Health, New York, NY)
Shruti Naik (NYU Langone Health, New York, NY)
NIH Support: National Cancer Institute, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Center for Advancing Translational Sciences, National Institute of Allergy and Infectious Diseases
Immune Macrophages Use Their Own ‘Morse Code’
Posted on by Dr. Francis Collins
In the language of Morse code, the letter “S” is three short sounds and the letter “O” is three longer sounds. Put them together in the right order and you have a cry for help: S.O.S. Now an NIH-funded team of researchers has cracked a comparable code that specialized immune cells called macrophages use to signal and respond to a threat.
In fact, by “listening in” on thousands of macrophages over time, one by one, the researchers have identified not just a lone distress signal, or “word,” but a vocabulary of six words. Their studies show that macrophages use these six words at different times to launch an appropriate response. What’s more, they have evidence that autoimmune conditions can arise when immune cells misuse certain words in this vocabulary. This bad communication can cause them incorrectly to attack substances produced by the immune system itself as if they were a foreign invaders.
The findings, published recently in the journal Immunity, come from a University of California, Los Angeles (UCLA) team led by Alexander Hoffmann and Adewunmi Adelaja. As an example of this language of immunity, the video above shows in both frames many immune macrophages (blue and red). You may need to watch the video four times to see what’s happening (I did). Each time you run the video, focus on one of the highlighted cells (outlined in white or green), and note how its nuclear signal intensity varies over time. That signal intensity is plotted in the rectangular box at the bottom.
The macrophages come from a mouse engineered in such a way that cells throughout its body light up to reveal the internal dynamics of an important immune signaling protein called nuclear NFκB. With the cells illuminated, the researchers could watch, or “listen in,” on this important immune signal within hundreds of individual macrophages over time to attempt to recognize and begin to interpret potentially meaningful patterns.
On the left side, macrophages are responding to an immune activating molecule called TNF. On the right, they’re responding to a bacterial toxin called LPS. While the researchers could listen to hundreds of cells at once, in the video they’ve randomly selected two cells (outlined in white or green) on each side to focus on in this example.
As shown in the box in the lower portion of each frame, the cells didn’t respond in precisely the same way to the same threat, just like two people might pronounce the same word slightly differently. But their responses nevertheless show distinct and recognizable patterns. Each of those distinct patterns could be decomposed into six code words. Together these six code words serve as a previously unrecognized immune language!
Overall, the researchers analyzed how more than 12,000 macrophage cells communicated in response to 27 different immune threats. Based on the possible arrangement of temporal nuclear NFκB dynamics, they then generated a list of more than 900 pattern features that could be potential “code words.”
Using an algorithm developed decades ago for the telecommunications industry, they then monitored which of the potential words showed up reliably when macrophages responded to a particular threatening stimulus, such as a bacterial or viral toxin. This narrowed their list to six specific features, or “words,” that correlated with a particular response.
To confirm that these pattern features contained meaning, the team turned to machine learning. If they taught a computer just those six words, they asked, could it distinguish the external threats to which the computerized cells were responding? The answer was yes.
But what if the computer had five words available, instead of six? The researchers found that the computer made more mistakes in recognizing the stimulus, leading the team to conclude that all six words are indeed needed for reliable cellular communication.
To begin to explore the implications of their findings for understanding autoimmune diseases, the researchers conducted similar studies in macrophages from a mouse model of Sjögren’s syndrome, a systemic condition in which the immune system often misguidedly attacks cells that produce saliva and tears. When they listened in on these cells, they found that they used two of the six words incorrectly. As a result, they activated the wrong responses, causing the body to mistakenly perceive a serious threat and attack itself.
While previous studies have proposed that immune cells employ a language, this is the first to identify words in that language, and to show what can happen when those words are misused. Now that researchers have a list of words, the next step is to figure out their precise definitions and interpretations [2] and, ultimately, how their misuse may be corrected to treat immunological diseases.
References:
[1] Six distinct NFκB signaling codons convey discrete information to distinguish stimuli and enable appropriate macrophage responses. Adelaja A, Taylor B, Sheu KM, Liu Y, Luecke S, Hoffmann A. Immunity. 2021 May 11;54(5):916-930.e7.
[2] NF-κB dynamics determine the stimulus specificity of epigenomic reprogramming in macrophages. Cheng QJ, Ohta S, Sheu KM, Spreafico R, Adelaja A, Taylor B, Hoffmann A. Science. 2021 Jun 18;372(6548):1349-1353.
Links:
Overview of the Immune System (National Institute of Allergy and Infectious Diseases/NIH)
Sjögren’s Syndrome (National Institute of Dental and Craniofacial Research/NIH)
Alexander Hoffmann (UCLA)
NIH Support: National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases
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
FDA Approves First CAR-T Cell Therapy for Pediatric Acute Lymphoblastic Leukemia
Posted on by Dr. Francis Collins
Tremendous progress continues to be made against the Emperor of All Maladies, cancer. One of the most exciting areas of progress involves immunotherapy, a treatment strategy that harnesses the natural ability of the body’s own immune cells to attack and kill tumor cells. A lot of extremely hard work has gone into this research, so I was thrilled to learn that the Food and Drug Administration (FDA) just announced today its first approval of a promising type of immunotherapy called CAR-T cell therapy for kids and young adults with B-cell acute lymphoblastic leukemia (ALL)—the most common childhood cancer in the U.S.
ALL is a cancer of white blood cells called lymphocytes. Its treatment with chemotherapy drugs, developed with NIH support, has transformed ALL’s prognosis in kids from often fatal to largely treatable: about 90 percent of young patients now recover. But for those for whom the treatment fails, the prognosis is grim.
In the spring of 2012, Emily Whitehead of Philipsburg, PA was one such patient. The little girl was deathly ill, and her parents were worried they’d run out of options. That’s when doctors at Children’s Hospital of Philadelphia gave Emily and her parents new hope. Carl June and his team had successfully treated three adults with their version of CAR-T cell therapy, which is grounded in initial basic research supported by NIH [1,2]. Moving forward with additional clinical tests, they treated Emily—their first pediatric patient—that April. For a while, it was touch and go, and Emily almost died. But by May 2012, her cancer was in remission. Today, five years later, 12-year-old Emily remains cancer free and is thriving. And I’ve had the great privilege of getting to know Emily and her parents over the last few years.
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