chronic kidney disease
Finding the ‘Tipping Point’ to Permanent Kidney Damage
Posted on by Lawrence Tabak, D.D.S., Ph.D.
Healthy human kidneys filter more than 30 gallons of blood each day on average, efficiently removing extra fluid and harmful toxins from the body. If injured, the kidneys have a remarkable capacity for repair. And, yet, in more than one in seven U.S. adults, including disproportionately people with diabetes and hypertension, the daily wear and tear on these vital organs has passed a “tipping point” toward irreparable damage and the onset of chronic kidney disease (CKD) [1].
Defining this tipping point has been a major challenge for a variety of technical reasons. But in a study just published in the journal Science Translational Medicine, researchers have discovered a molecular switch involved in controlling the transition from normal tissue repair to incomplete, or permanent, damage [2]. The NIH-supported researchers also suggest a possible drug candidate to control this switch and slow the progression of CKD.
Also impressive is that the team broke through these longstanding technical problems without probing or testing a single person with CKD. They made their discovery using kidney organoids, or miniature human kidneys, that are grown in a lab dish and naturally model the repair process that takes place in our bodies.
The latest findings come from a team led by Ryuji Morizane, Massachusetts General Hospital and Harvard Medical School, Boston. The researchers recognized that earlier studies in animal models had identified processes involved in kidney injury and repair. But so far, there’s been limited success in translating those discoveries into clinical advances. That’s because many potential treatments that have appeared safe and effective in animal models have proven to be either damaging to the kidneys or ineffective when studied in humans.
To continue the search, the Morizane lab generated human kidney organoids from induced pluripotent stem cells (iPSCs) and other sources that include multiple essential renal tissue types. Using their tiny human kidneys, Morizane and colleagues, including first author Navin Gupta, sought the molecules responsible for the transition from complete to incomplete kidney repair.
The team repeatedly exposed kidney organoids to the cancer chemotherapy drug cisplatin, which can damage the kidneys as an unwanted side effect. Afterwards, examining single cells from the organoid, the researchers looked for underlying changes in gene activity associated with the transition from kidney repair to permanent kidney damage.
All told, their studies identified 159 genes in 29 different pathways that activate when kidneys fully repaired themselves. They found that many of those genes, including two called FANCD2 and RAD51, grew less active as kidney damage became irreversible. These genes encode proteins that are known to play a role in a process whereby cells repair broken strands of DNA.
Further study of stored biopsied kidney tissue from people with diabetic kidney disease, the most common cause of kidney failure, corroborated the organoid data tying a loss of FANCD2 activity to incomplete repair of kidney tissue. That’s encouraging because it suggests the new discoveries made in kidney organoids exposed to cisplatin may be relevant to people suffering from various forms of kidney injury.
One of the big advantages of organoid studies is the ability to rapidly screen for promising new drug candidates in the lab. And, indeed, the researchers found that a drug candidate called SCR7 helped to maintain FANCD2 and RAD51 activity in chemotherapy-injured organoids, preventing irreversible damage.
While much more study is needed, the findings suggest a potentially promising new way to prevent the kidneys from reaching their “tipping point” into permanent damage, CKD, and the risk for kidney failure. They also suggest that further studies in kidney organoids may lead to treatments targeting other kidney diseases.
These latest findings also highlight important progress in human tissue engineering, with implications for a wide range of conditions. In addition to making fundamental new biomedical discoveries as this new study has done, one of the great hopes of such efforts, including NIH’s National Center for Advancing Translational Sciences’ Tissue Chip for Drug Screening, is to improve predictions of whether new drug candidates will be safe or toxic in humans, speeding advances toward the most promising new therapies.
March happens to be National Kidney Month, and it’s especially important to raise awareness because 90 percent of people with CKD don’t even know they have it. So, if you or a loved one is at risk for CKD, be vigilant. Meanwhile, the work continues through studies like this one to find better leads to help control CKD.
References:
[1] Chronic kidney disease in the United States, 2021. Centers for Disease Control and Prevention.
[2] Modeling injury and repair in kidney organoids reveals that homologous recombination governs tubular intrinsic repair. Gupta N, Matsumoto T, Hiratsuka K, Garcia Saiz E, Galichon P, Miyoshi T, Susa K, Tatsumoto N, Yamashita M, Morizane R. Sci Transl Med. 2022 Mar 2;14(634):eabj4772
Links:
Chronic Kidney Disease (National Institute of Diabetes and Digestive and Kidney Diseases/NIH)
National Kidney Month 2022 (NIDDK)
Morizane Lab (Harvard Medical School, Boston, MA)
Tissue Chip for Screening (National Center for Advancing Translational Sciences/NIH)
NIH Support: National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Biomedical Imaging and Bioengineering; National Center for Advancing Translational Sciences
A Race-Free Approach to Diagnosing Chronic Kidney Disease
Posted on by Dr. Francis Collins
Race has a long and tortured history in America. Though great strides have been made through the work of leaders like Dr. Martin Luther King, Jr. to build an equal and just society for all, we still have more work to do, as race continues to factor into American life where it shouldn’t. A medical case in point is a common diagnostic tool for chronic kidney disease (CKD), a condition that affects one in seven American adults and causes a gradual weakening of the kidneys that, for some, will lead to renal failure.
The diagnostic tool is a medical algorithm called estimated glomerular filtration rate (eGFR). It involves getting a blood test that measures how well the kidneys filter out a common waste product from the blood and adding in other personal factors to score how well a person’s kidneys are working. Among those factors is whether a person is Black. However, race is a complicated construct that incorporates components that go well beyond biological and genetic factors to social and cultural issues. The concern is that by lumping together Black people, the algorithm lacks diagnostic precision for individuals and could contribute to racial disparities in healthcare delivery—or even runs the risk of reifying race in a way that suggests more biological significance than it deserves.
That’s why I was pleased recently to see the results of two NIH-supported studies published in The New England Journal of Medicine that suggest a way to take race out of the kidney disease equation [1, 2]. The approach involves a new equation that swaps out one blood test for another and doesn’t ask about race.
For a variety of reasons, including socioeconomic issues and access to healthcare, CKD disproportionately affects the Black community. In fact, Blacks with the condition are also almost four times more likely than whites to develop kidney failure. That’s why Blacks with CKD must visit their doctors regularly to monitor their kidney function, and often that visit involves eGFR.
The blood test used in eGFR measures creatinine, a waste product produced from muscle. For about the past 20 years, a few points have been automatically added to the score of African Americans, based on data showing that adults who identify as Black, on average, have a higher baseline level of circulating creatinine. But adjusting the score upward toward normal function runs the risk of making the kidneys seem a bit healthier than they really are and delaying life-preserving dialysis or getting on a transplant list.
A team led by Chi-yuan Hsu, University of California, San Francisco, took a closer look at the current eGFR calculations. The researchers used long-term data from the Chronic Renal Insufficiency Cohort (CRIC) Study, an NIH-supported prospective, observational study of nearly 4,000 racially and ethnically diverse patients with CKD in the U.S. The study design specified that about 40 percent of its participants should identify as Black.
To look for race-free ways to measure kidney function, the researchers randomly selected more than 1,400 of the study’s participants to undergo a procedure that allows kidney function to be measured directly instead of being estimated based on blood tests. The goal was to develop an accurate approach to estimating GFR, the rate of fluid flow through the kidneys, from blood test results that didn’t rely on race.
Their studies showed that simply omitting race from the equation would underestimate GFR in Black study participants. The best solution, they found, was to calculate eGFR based on cystatin C, a small protein that the kidneys filter from the blood, in place of the standard creatinine. Estimation of GFR using cystatin C generated similarly accurate results but without the need to factor in race.
The second NIH-supported study led by Lesley Inker, Tufts Medical Center, Boston, MA, came to similar conclusions. They set out to develop new equations without race using data from several prior studies. They then compared the accuracy of their new eGFR equations to measured GFR in a validation set of 12 other studies, including about 4,000 participants.
Their findings show that currently used equations that include race, sex, and age overestimated measured GFR in Black Americans. However, taking race out of the equation without other adjustments underestimated measured GFR in Black people. Equations including both creatinine and cystatin C, but omitting race, were more accurate. The new equations also led to smaller estimated differences between Black and non-Black study participants.
The hope is that these findings will build momentum toward widespread adoption of cystatin C for estimating GFR. Already, a national task force has recommended immediate implementation of a new diagnostic equation that eliminates race and called for national efforts to increase the routine and timely measurement of cystatin C [3]. This will require a sea change in the standard measurements of blood chemistries in clinical and hospital labs—where creatinine is routinely measured, but cystatin C is not. As these findings are implemented into routine clinical care, let’s hope they’ll reduce health disparities by leading to more accurate and timely diagnosis, supporting the goals of precision health and encouraging treatment of CKD for all people, regardless of their race.
References:
[1] Race, genetic ancestry, and estimating kidney function in CKD. Hsu CY, Yang W, Parikh RV, Anderson AH, Chen TK, Cohen DL, He J, Mohanty MJ, Lash JP, Mills KT, Muiru AN, Parsa A, Saunders MR, Shafi T, Townsend RR, Waikar SS, Wang J, Wolf M, Tan TC, Feldman HI, Go AS; CRIC Study Investigators. N Engl J Med. 2021 Sep 23.
[2] New creatinine- and cystatin C-based equations to estimate GFR without race. Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y, Crews DC, Doria A, Estrella MM, Froissart M, Grams ME, Greene T, Grubb A, Gudnason V, Gutiérrez OM, Kalil R, Karger AB, Mauer M, Navis G, Nelson RG, Poggio ED, Rodby R, Rossing P, Rule AD, Selvin E, Seegmiller JC, Shlipak MG, Torres VE, Yang W, Ballew SH,Couture SJ, Powe NR, Levey AS; Chronic Kidney Disease Epidemiology Collaboration. N Engl J Med. 2021 Sep 23.
[3] A unifying approach for GFR estimation: recommendations of the NKF-ASN Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease. Delgado C, Baweja M, Crews DC, Eneanya ND, Gadegbeku CA, Inker LA, Mendu ML, Miller WG, Moxey-Mims MM, Roberts GV, St Peter WL, Warfield C, Powe NR. Am J Kidney Dis. 2021 Sep 22:S0272-6386(21)00828-3.
Links:
Chronic Kidney Disease (National Institute of Diabetes and Digestive and Kidney Diseases/NIH)
Explaining Your Kidney Test Results: A Tool for Clinical Use (NIDDK)
Chronic Renal Insufficiency Cohort Study
Chi-yuan Hsu (University of California, San Francisco)
Lesley Inker (Tufts Medical Center, Boston)
NIH Support: National Institute of Diabetes and Digestive and Kidney Diseases
Genome Data from Africa Reveal Millions of New Variants
Posted on by Dr. Francis Collins
The first Homo sapiens emerged in Africa hundreds of thousands of years ago. We are all descended from that common pool of ancestors. Put another way, we are all Africans. While it’s not possible to study the DNA of these vanished original human populations, it is possible to study the genetic material of today’s African peoples to learn more about the human genome and its evolution over time. The degree of genetic diversity in Africa is greater than anywhere else in the world.
Progress continues to be made in this important area of genomic research. The latest step forward is a study just published in the journal Nature that analyzes more than 400 complete human genomes, including 50 distinct groups of people from 13 African countries. This work has uncovered about 3.4 million unique gene variants that had never before been described, greatly expanding our knowledge of human genetic variation and its implications for health and disease.
This work is the latest from the Human Heredity and Health in Africa (H3Africa) Initiative , which I helped establish a decade ago. This partnership between NIH, the Wellcome Trust, and the Alliance for Accelerating Excellence in Science in Africa (AESA) seeks to train a new generation of African scientists in genomic science and other disciplines, while conducting state-of-the-art health research on the African continent. The hope is to help these scientists use their new knowledge to improve human health in Africa and to help fill significant gaps in our knowledge of the diversity within human genomes.
The new study was led by Zané Lombard, the University of the Witwatersrand, South Africa; Neil Hanchard, Baylor College of Medicine, Houston; and Adebowale Adeyemo, NIH’s National Human Genome Research Institute, Bethesda, MD. It also included more than 50 other H3Africa data providers and data analysts from across Africa and around the world.
These researchers sequenced and analyzed the genomes of 426 individuals, almost all from studies and countries within the H3Africa Consortium, the network of NIH and Wellcome Trust-funded research sites in Africa. These individuals were carefully selected to provide broad coverage of the diverse landscape of African genomic variation. They also included many populations that hadn’t been studied at the genetic level before. The team focused its attention on single-letter differences, also known as single nucleotide variants (SNVs), located across the 3 billion DNA letters of the human genome.
All told, the researchers observed more than 31 million confirmed SNVs. Of the 3.4 million newly discovered SNVs, most turned up in the genomes of individuals from previously unstudied African ethnic groups with their own distinct languages. Even among SNVs that had been previously reported, several were found much more often than in other populations. That’s important because medical geneticists often include information about frequency in deciding whether a gene variant is a likely cause of rare disease. So, this more complete picture of normal genetic variation will be valuable for diagnosing such genetic conditions around the globe.
The researchers also found more than 100 regions of the genome where the pattern of genetic variation was suggestive of underlying variants that were evolutionarily favored at some time in the past. Sixty-two of those chromosomal locations weren’t previously known to be under such strong natural selection in human populations. Interestingly, those selected regions were found to contain genes associated with viral immunity, DNA repair, reproduction, and metabolism, or occurred close to variants that have been associated with conditions such as uterine fibroids and chronic kidney disease.
The findings suggest that viral infections, such as outbreaks of Ebola, yellow fever, and Lassa fever, may have played an important role over centuries in driving genetic differences on the African continent. The data also point to the possibility of human adaptation to differences across the African continent in local environments and diets, and these adaptations could be relevant to common diseases and traits we see now.
The researchers used the data to help gain insight into past migrations of human populations. The genetic data revealed complex patterns of ancestral mixing within and between groups. It also uncovered how distinct groups likely moved large distances across Africa in the past, going back hundreds to thousands of years. The findings also offered a more complete picture of the timing and extent of the migration of speakers of Africa’s most common language group (Bantu) as they moved from West Africa to the southern and eastern reaches of the continent—a defining event in the genetic history of Africa.
There’s still much more to learn about the diversity of human genomes, and a need for continued studies, including many more individuals representing more distinct groups in Africa. Indeed, H3Africa now consists of 51 projects all across the continent, focused on population-based genomic studies of many common health conditions, from heart disease to tuberculosis. As the cradle of all humanity, Africa has much to offer genomic research in the years ahead that will undoubtedly have far-reaching implications for people living in all parts of our planet.
Reference:
[1] High-depth African genomes inform human migration and health. Choudhury A et al. 2020 Oct;586(7831):741-748.
Links:
Human Heredity and Health in Africa (H3Africa) (NIH)
H3Africa (University of Cape Town, South Africa)
NIH Support: National Human Genome Research Institute; National Institute of Allergy and Infectious Diseases
H3Africa: Fostering Collaboration
Posted on by Dr. Francis Collins
Caption: Pioneers in building Africa’s genomic research capacity; front, Charlotte Osafo (l) and Yemi Raji; back, David Burke (l) and Tom Glover.
Credit: University of Michigan, Ann Arbor
About a year ago, Tom Glover began sifting through a stack of applications from prospective students hoping to be admitted into the Master’s Degree Program in Human Genetics at the University of Michigan, Ann Arbor. Glover, the program’s director, got about halfway through the stack when he noticed applications from two physicians in West Africa: Charlotte Osafo from Ghana, and Yemi Raji from Nigeria. Both were kidney specialists in their 40s, and neither had formal training in genomics or molecular biology, which are normally requirements for entry into the program.
Glover’s first instinct was to disregard the applications. But he noticed the doctors were affiliated with the Human Heredity and Health in Africa (H3Africa) Initiative, which is co-supported by the Wellcome Trust and the National Institutes of Health Common Fund, and aims in part to build the expertise to carry out genomics research across the continent of Africa. (I am proud to have had a personal hand in the initial steps that led to the founding of H3Africa.) Glover held onto the two applications and, after much internal discussion, Osafo and Raji were admitted to the Master’s Program. But there were important stipulations: they had to arrive early to undergo “boot camp” in genomics and molecular biology and also extend their coursework over an extra term.
Happy New Year: Looking Back at 2016 Research Highlights
Posted on by Dr. Francis Collins
Happy New Year! While everyone was busy getting ready for the holidays, the journal Science announced its annual compendium of scientific Breakthroughs of the Year. If you missed it, the winner for 2016 was the detection of gravitational waves—tiny ripples in the fabric of spacetime created by the collision of two black holes 1.3 billion years ago! It’s an incredible discovery, and one that Albert Einstein predicted a century ago.
Among the nine other advances that made the first cut for Breakthrough of the Year, several involved the biomedical sciences. As I’ve done in previous years (here and here), I’ll kick off this New Year by taking a quick look of some of the breakthroughs that directly involved NIH support:
Pursuing Precision Medicine for Chronic Kidney Disease
Posted on by Dr. Francis Collins
Caption: Scanning electron micrograph showing a part of one of the kidney’s glomerular filters, which are damaged in people with chronic kidney disease (CKD). The cells with the lacy cytoplasmic extensions are called podocytes.
Credit: Kretzler Lab, University of Michigan Health System, Ann Arbor
Every day, our kidneys filter more than 30 gallons of blood to allow excretion of molecules that can harm us if they build up as waste. But, for more than 20 million Americans and a growing number of people around the world, this important function is compromised by chronic kidney disease (CKD) [1]. Some CKD patients are at high risk of progressing to actual kidney failure, treatable only by dialysis or kidney transplants, while others remain generally healthy with stable kidney function for many years with minimal treatment.
The dilemma is that, even when CKD is diagnosed early, there’s been no good way to predict which individuals are at high risk for rapid progression. Those individuals would potentially benefit from more intensive measures to slow or prevent kidney failure, such as drug regimens that tightly control blood pressure and/or blood glucose. So, I’m pleased to report that NIH-funded researchers have made some progress toward developing more precise strategies for identifying individuals at high risk for kidney failure. In recent findings published in Science Translational Medicine [2], an international research team has identified a protein, easily detectable in urine, which appears to serve as an early warning sign of CKD progression.
A wide range of conditions, from diabetes to hypertension to the autoimmune disease lupus, can contribute to the gradual loss of kidney function seen in people with CKD. But research suggests that once kidney damage reaches a critical threshold, it veers off to follow a common downhill course, driven by shared cell signaling pathways and almost independent of the conditions causing it. If there was an easy, reliable way to determine when a CKD patient’s kidneys are approaching this threshold, it could open the door to better strategies for protecting them from kidney failure.
With this need in mind, a team, led by Matthias Kretzler and Wenjun Ju of the University of Michigan, began analyzing gene activity in kidney biopsy samples donated by 164 CKD patients and stored in the European Renal cDNA Bank. Specifically, the researchers looked for patterns of gene activity that corresponded with the patients’ estimated glomerular filtration rates, an indicator of renal function frequently calculated as part of a routine blood workup. Their first pass produced a list of 72 genes that displayed varying levels of activity that corresponded to differences in the patients’ estimated glomerular filtration rates. Importantly, the activity of many of those genes is also increased in cell signaling pathways thought to drive CKD progression.
Further study in two more groups of CKD patients, one from the United States and another from Europe, whittled the list down to three genes that best predicted kidney function. The researchers then zeroed in on the gene that codes for epidermal growth factor (EGF), a protein that, within the kidney, seems to be produced specifically in tubules, which are key components of the waste filtration system. Because EGF appears to enhance tubular repair after injury, researchers had a hunch that it might serve as a positive biomarker of tubular function that could be combined with existing tests of glomerular filtration to detect progression of CKD at an earlier stage.
In groups of CKD patients from the United States and China, the researchers went on to find that the amount of EGF in the urine provides an accurate measure of the protein’s activity in the kidney, making it a promising candidate for a simple urine test. In fact, CKD patients with low levels of EGF in their urine were four times more likely than those with higher EGF levels to have their kidney function worsen within a few years.
These lines of evidence suggest that, if these findings are replicated in additional studies, it may be possible to develop a simple EGF urine test to help identify which individuals with CKD would benefit the most from aggressive disease management and clinical follow-up. Researchers also plan to explore the possibility that such a urine test might prove useful in the early diagnosis of CKD, before there are any other indications of kidney disease. These are very promising new findings, but much remains to be done before we can think of applying these results as standard of care in the clinic. For example, the EGF work needs to be replicated in larger groups of CKD patients, as well as CKD patients with diabetes.
Beyond their implications for CKD, these results demonstrate the power of identifying new biologically important indicators directly from patients and then testing them in large, diverse cohorts of people. I look forward to the day when these sorts of studies will become possible on an even larger scale through our U.S. Precision Medicine Initiative Cohort.
References:
[1] National Chronic Kidney Disease Fact Sheet, 2014. Centers for Disease Control and Prevention.
[2] Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker. Ju W, Nair V, Smith S, Zhu L, Shedden K, Song PX, Mariani LH, Eichinger FH, Berthier CC, Randolph A, Lai JY, Zhou Y, Hawkins JJ, Bitzer M, Sampson MG, Thier M, Solier C, Duran-Pacheco GC, Duchateau-Nguyen G, Essioux L, Schott B, Formentini I, Magnone MC, Bobadilla M, Cohen CD, Bagnasco SM, Barisoni L, Lv J, Zhang H, Wang HY, Brosius FC, Gadegbeku CA, Kretzler M; ERCB, C-PROBE, NEPTUNE, and PKU-IgAN Consortium. Sci Transl Med. 2015 Dec 2;7(316):316ra193.
Links:
Chronic Kidney Disease: What Does it Mean to Me? (National Institute of Diabetes and Digestive and Kidney Diseases/NIH)
Personalized Molecular Nephrology Research Laboratory (University of Michigan)
C-Probe (University of Michigan)
Precision Medicine Initiative Cohort Program (NIH)
NIH Support: National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases
