Upcoming drug targets for kidney protective effects in chronic kidney disease
Bibliographic record
Abstract
People with chronic kidney disease (CKD) are at a high risk of heart disease and end-stage kidney disease. This review describes how new medications, such as glucagon-like peptide-1 receptor agonists (GLP1RA), aldosterone synthase inhibitors (ASi), soluble guanylate cyclase (sGC) and endothelin receptor antagonists (ERA), can lower heart-kidney risk in people with CKD. GLP1RA are already recommended for managing blood sugar in people with CKD and type 2 diabetes and have been shown to lower the risk of developing end-stage kidney disease. GLP1RA will likely soon be included in clinical guidelines, but further research is needed to understand how these medications protect the kidneys. ASi are another new medication that lower the protein found in urine. Larger trials are being done to see how well these medications work in slowing CKD. Lastly, both sGC agonists and ERAs have been shown to relax blood vessels to improve blood flow in the kidney, and reduce the amount of protein found in urine, both of which are critical to protecting kidneys. Larger clinical trials are being done to see if these medications prevent CKD from getting worse. In summary, this review describes the new and promising treatments for CKD. These therapies hold the potential to slow kidney disease and improve the wellbeing of patients. Further research of these new treatments is important for improving CKD care. ABSTRACT: Despite recent advancements in the treatment of chronic kidney disease (CKD), identifying novel therapies beyond guideline-directed therapies that reduce residual cardiorenal risk remains imperative. In this review, we highlight the clinical evidence supporting emerging therapies for CKD, including glucagon-like peptide-1 receptor agonists (GLP1RA) and other incretin-based therapies, aldosterone synthase inhibitors (ASI), endothelin receptor antagonists (ERA), soluble guanylate cyclase (sGC) agonists and anti-inflammatory drugs. Long-acting GLP1RA are already recommended for glycemic control in patients with CKD and type 2 diabetes and the large, dedicated kidney outcome trial FLOW was recently stopped early for efficacy. Emerging clinical trial evidence supports the concept that ASI also provide additional benefit on top of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, which remain a cornerstone of CKD treatment. Next, we consider the use of sGC agonists, which target nitric oxide bioavailability and thereby reduce albuminuria. Finally, we explore the therapeutic potential of ERA, which act through hemodynamic and anti-fibrotic mechanisms, thereby addressing a common final pathway in the development of CKD. Accordingly, our review highlights the changing therapeutic landscape for CKD with promising agents to further prevent the progression of kidney disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".