Tuesday, November 11, 2025

 

More Americans are on dialysis. Could more safely wean off it?




University of California - San Francisco





Weaning patients with acute kidney injury (AKI) from dialysis while they are still hospitalized may save them from remaining on the treatment for the rest of their lives, according to a new study led by UC San Francisco. 

Instead, some patients who may have the potential to recover kidney function while hospitalized are transferred to outpatient centers with fewer specialty doctors and less intensive monitoring, where subtle signs of recovery may be overlooked.  

Although dialysis is needed to support patients with low kidney function, paradoxically it can delay or even prevent the kidneys’ natural ability to recover from AKI. Dialysis slows kidney recovery by dropping blood pressure and reducing blood and oxygen flow, causing additional damage that may lead to irreversible kidney failure. 

“Patients with AKI go from seeing a nephrologist every day or every other day while they are hospitalized, to once a week, or as infrequently as once a month after they transfer to outpatient dialysis centers,” said senior author Chi-yuan Hsu, MD. 

“Stopping dialysis can be risky, so it’s natural for nephrologists to be conservative and continue with regularly scheduled dialysis unless recovery is very obvious.” 

The number of people on dialysis continues to swell, due to chronic conditions like diabetes, that can cause irreversible end-stage kidney disease. These patients require lifelong dialysis unless they receive a donated kidney. But up to 1 in 4 new referrals at dialysis centers have AKI, triggered by conditions like sepsis, heart failure, trauma to the kidneys, or serious surgical complications. An estimated 50% of patients with AKI die in the hospital. Of those who survive, temporary dialysis is the goal.  

In the study, 220 hospitalized patients, whose average age was 56, were randomly divided into two groups. One group received dialysis three times a week until there were clear indications that their kidney function had improved. The second group only received dialysis when they absolutely needed it.  

At discharge, 50% of those on conventional dialysis recovered kidney function and no longer required dialysis. But 64% of those who received minimal dialysis reached this milestone. The researchers saw no differences in adverse outcomes between the two groups. 

“Generally, dialysis centers do not have the infrastructure to support our weaning intervention. This would include daily assessments of patients’ labs and vital signs,” said Kathleen Liu, MD, PhD, first author of the paper. “Larger studies are needed to confirm our findings, and additional studies would be needed to determine how weaning can be adapted for patients with AKI at outpatient dialysis centers.” 

Journal: JAMA: The Journal of the American Medical Association 
Other authors and disclosures: Please see the paper 
Funding: National Institutes of Health (R01DK122797, K23DK128605, K23DK139456). 

About UCSF: The University of California, San Francisco (UCSF) is exclusively focused on the health sciences and is dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. UCSF Health, which serves as UCSF's primary academic medical center, includes top-ranked specialty hospitals and other clinical programs, and has affiliations throughout the Bay Area. UCSF School of Medicine also has a regional campus in Fresno. Learn more at ucsf.edu, or see our Fact Sheet.

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Policymakers around the world face difficult choices on funding new drugs for advanced breast cancer



Is unequal access to the best treatments inevitable?



Associação Advanced Breast Cancer Global Alliance





Lisbon, Portugal: Patients living with advanced breast cancer (ABC) have many new treatment options available to them, but these new drugs are very expensive and may lead to further inequalities in access to the best care. This will happen if the existing model for developing and financing new therapies is not changed substantially, according to Professor Fatima Cardoso, President of the Advanced Breast Cancer Global Alliance (ABC Global Alliance).

In remarks made at the conclusion of the Advanced Breast Cancer Eighth International Consensus Conference (ABC8) in Lisbon [1], medical oncologist Prof. Cardoso said: “The good news is that we have many new drugs, and many new treatments, including some for triple negative disease. In many cases, these drugs extend the lives of patients significantly.

“The bad news is that they are all very expensive drugs, and they have not been compared with one another, only with the usual standard of care on different groups of patients, so there is no way, at the moment, that we can say that one of these new drugs is better than another.

“Personally, I find it very difficult to believe that any government can approve them all, as they are unlikely to be able to afford them all. How will they choose which drugs to approve? Will they approve them all, or maybe just one? It may depend on the wealth of each country, which will, inevitably, lead to patients in different countries, and even in different parts of a country, having unequal access to the best drugs and treatments.”

She issued a plea to the agencies responsible for approving the use of new drugs, such as the European Medicines Agency (EMA) and the US Food and Drugs Administration (FDA), not to approve treatments based on results from clinical trials that show only a small benefit, even if it is ‘statistically significant’.

“If they do approve such drugs, then they should issue recommendations that help national funding organisations and policymakers to prioritise which ones to cover when resources are limited,” she said.

“I have a plea that the selection should not be done based on which one is less expensive, but that there is a discussion in each country with the healthcare professionals and with the patient groups. In addition, it is important that treatment guidelines, like the ones we have agreed today at ABC8, also prioritise the most effective treatments to help the decision-makers take the best decisions. Otherwise they will just go with the ones that are the least expensive.”

At the conclusion of ABC8, a panel of international cancer experts agreed new guidelines on the treatment of ABC, which is a treatable but usually incurable disease. They based their decisions and recommendations on the level and quality of evidence available from different types of studies, ranging from good randomised clinical trials (the gold standard) through to studies without control groups, or on expert opinion.

Among the new drugs that they assessed, the experts recommended that patients with triple negative ABC, for whom immunotherapy is not an option, should be given sacituzumab-govitecan or datopotamab-deruxetan as first-line therapies. Triple negative disease is a type of breast cancer that lacks receptors for the hormones oestrogen and progesterone, and the HER2 protein. It is among the hardest types of ABC to treat as it is aggressive and does not respond to hormone and HER2-targeted therapies.

The consensus panel gave advice on the possible side-effects of these drugs, such as diarrhoea, vomiting and dry eyes, and the best way to manage them.

They also agreed new definitions for the different categories of endocrine (hormone) resistance, which is when a cancer fails to respond or becomes resistant to hormonal therapies.

Prof. Cardoso said: “These new definitions are important because our former definitions have started to be used in clinical trials and so we want them to use these updated definitions. They are based on the very newest data to come from the AURORA Molecular Screening Initiative, which is researching mechanisms of resistance to anti-cancer therapies for advanced and metastatic breast cancer.”

The consensus panel reviewed and made recommendations on several new drugs for ER+/HER2- breast cancer, such as inavolisib combined with palbociclib and fulvestrant, camizestrant, imlunestrant, vepdegestrant, giredestrant and gedatolisib.

“All these new drugs arriving at about the same time, represent an important challenge on how to incorporate them in the treatment algorithms and how to sequence them in clinical practice, since they were not compared to each other or evaluated one after the other,” said Prof. Cardoso.

For personalised or ‘precision’ medicine that targets a patient’s individual genetic mutations that drive their cancer, the experts are now recommending the use of next generation sequencing to analyse the mutations in multiple DNA fragments from tumours circulating in the blood.

“This is because we had almost no treatments that we could use depending on the results of these multi-gene panels,” said Prof. Cardoso. “But now there are several treatments that do have a target and it may become less expensive to do a multi-gene panel test and look for all the targets than to look for the targets one by one. However, we are recommending that these tests should not be performed routinely unless relevant treatments have been identified that are accessible and clinically suitable for the patient.”

The experts recommended that elinzanetant, a new drug that controls the hot flushes many patients experience as a result of their treatment can be an option as long as there are no problems with it interacting with other therapies. They agreed there were many other non-drug options as well, such as cognitive behavioural therapy. The FDA approved elinzanetant on 24 October for use in this setting, and the EMA is currently considering it.

They also included new guidance on the role that exercise can have in improving the quality of life for patients with ABC. They said this exercise should be structured, guided and tailored to the limitations of each patient.

The consensus panel endorsed the new ABC Global Charter for 2025-2035, which includes ten goals for ABC, ranging from continuing to improve survival for patients living with ABC to improving the quality and extent of data collected by cancer registries worldwide. The full papers for the Charter have been published in The Breast.

Honorary Chair of ABC8, Professor Eric P. Winer, Director of the Yale Cancer Center, USA, said: “The treatment of advanced breast cancer continues to improve, and there has been truly incredible drug development over the past 10-15 years. Individuals with ABC are living longer than ever before and living better. We are even beginning to discuss whether treatment programmes could be devised that could result in cure in a subset of patients. We always want progress as quickly as possible, but research takes time. Ultimately, both basic and clinical investigation are critical if we are going to continue to make progress.”

A paper will be submitted to the journal, The Breast, based on the new consensus guidelines from ABC8. The panel expects it to be published in 2026.

(ends)

[1] Consensus session, Auditorium 1, 08.30-13.00 hrs GMT, Saturday 8 November.

 

Cloud-based GWAS platform: An innovative solution for efficient acquisition and analysis of genomic data




FAR Publishing Limited
Overview of cloud-based GWAS data resources 

image: 

The diagram illustrates a framework for cloud-based GWAS data resources, structured in a hub-and-spoke architecture with "Cloud-Based GWAS Data Resources" at its core—interconnected with six multi-omics domains. Phenomics domain​contains disease-related data, physical activity metrics, and behavioral characteristics. Research purposes are classified as disease mechanism research, physiological function assessment, and molecular biomarker discovery. This domain provides clinical phenotypes, disease diagnoses, and physiological indicators, encompassing over 10,000 variables. Neuroscience domain​integrates multi-source neuroimaging data, focusing on brain anatomy, cerebral cortex, and brain MRI. This domain includes cortical thickness measurements and more than 200 neuroimaging-derived features, supporting genome-wide association studies across .various MRI data types (as illustrated by the accompanying bar charts). Proteomics domain​provides plasma proteomic datasets quantified through multiplex immunoassay techniques, covering major studies such as the UKB-PPP, Finnish, and Icelandic Decode cohorts. Represented ancestral groups include European and East Asian populations. Microbiomics domain​covers intestinal flora, oral microbiota, and skin microbiota derived from metagenomic sequencing of over 10,000 samples. Analyses include α-diversity measurements and genus abundance profiling. Metabolomics domain incorporates a wide range of metabolic and immune profiling data, featuring multiple analytical categories including immune cells, lipoprotein, and blood biomarker. Nutrigenomics domain​contains long-term dietary habit data including dietary composition and food consumption patterns. This domain covers multiple food categories including fish, meat, and other dietary components. This domain provides over 120 food-related features for diet-genotype interaction studies. Each domain is visually differentiated by color coding for clear identification.

 

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Credit: Xiaohong Ke, Kailai Li, Aimin Jiang, Yasi Zhang, Qi Wang, Zhengrui Li, Jian Zhang, András Hajd, Weniie Shi, Ulf Kahlerts, Anqi Lin, Pengpeng Zhang, Peng Luo



Since 2005, GWAS have transformed genomic research by identifying over 50,000 disease-associated genetic variants, laying the foundation for precision medicine and drug development. Yet traditional GWAS workflows face major hurdles: acquiring large datasets (often terabytes) is slow and unreliable due to bandwidth issues, while analyzing such data demands high-performance computing (hundreds of terabytes storage, thousands of CPU cores) that strains budgets, especially for smaller institutions. Data heterogeneity—varying formats, variable naming, and reference genome discrepancies (e.g., hg19 vs. hg38)—complicates standardization and integration across databases, risking analytical bias and errors. Cloud computing offers a solution. Its scalable resources eliminate local hardware limits, cut costs via shared pools, and accelerate processing with distributed computing. Projects like the Pan-Cancer Analysis of Whole Genomes (PCAWG) and UK Biobank have proven cloud tech’s value, boosting efficiency and collaboration. Building on this, researchers developed a cloud-based GWAS platform integrating major international databases (e.g., GWAS Catalog, UK Biobank, FinnGen) and the FastGWASR R package, designed to streamline genetic analyses.

The platform’s architecture leverages Kubernetes, with 100 high-performance nodes (64-core CPU, 512GB RAM, 8TB SSD each) and hybrid storage (HDFS for raw data, object storage for intermediates). A multi-dimensional sharding strategy (by chromosome, genomic interval, project, population) and intelligent caching optimize retrieval speed and cost. Security is robust: TLS 1.3 encrypts transmissions, homomorphic encryption protects raw data during analysis, and federated learning enables secure collaboration. Access controls use role/attribute-based policies, with multi-factor authentication and JWT sessions to restrict data access. Front-end design prioritizes usability: a responsive interface (React/D3.js) adapts to mobile/desktop, with visual hierarchy guiding users to key functions. Interactive tools (Manhattan/QQ plots) and workflow templates simplify complex analyses, while guided tutorials help newcomers.

Data resources span six omics domains (neuroscience, proteomics, microbiome, metabolomics, immunology, nutrigenomics), covering 40,000+ phenotypes from global databases (e.g., UK Biobank’s brain MRI, Finnish proteomics cohorts). A standardized preprocessing pipeline ensures quality (format conversion, metadata extraction, quality checks) with weekly updates and version control for reproducibility. Machine-learning anomaly detection and multi-level imputation address data inconsistencies. Core functionalities include millisecond-scale data retrieval via B+ tree/Bloom filter indexing and predictive caching (90% of queries resolved in <100ms). FastGWASR, the integrated R package, features modular design (data acquisition, preprocessing, analysis, visualization) with optimized algorithms: sparse matrices speed LD calculations (3× faster, 65% less memory), and parallel processing adapts to available resources. The API follows RESTful principles, with concise parameters for common tasks and DSL support for advanced queries. Security includes differential privacy for individual-level data and federated learning for collaborative analysis without raw data exposure.

Performance benchmarks highlight advantages: sub-second online extraction (vs. minutes/instability in traditional platforms), 90% query efficiency, and lower hardware demands (runs on laptops). FastGWASR outperforms tools like TwoSampleMR in speed and functionality, supporting one-click MR-PheWAS and drug target workflows. Application examples showcase real-world impact: Mendelian Randomization linked metabolites (e.g., branched-chain amino acids) to type 2 diabetes risk using “ebi-met1400” data, with findings aligning to prior studies; Drug Target Validation confirmed PCSK9’s role in coronary heart disease via co-localization and MR-PheWAS, assessing 2,408 phenotypes; Multi-Omics Integration mapped gut microbiota, metabolites, and inflammation networks in inflammatory bowel disease, demonstrating efficient cross-data analysis. Limitations include potential bottlenecks with ultra-large datasets (>100M variants/millions of individuals) and gaps in rare disease/underrepresented population data (e.g., African/Latin American cohorts). Future work will expand data (single-cell RNA-seq, epigenomics), enhance algorithms (cell-type-specific GWAS), and improve accessibility (AI-assisted tools, community collaboration).

In summary, this cloud-based GWAS platform and FastGWASR package democratize genomic research by overcoming traditional barriers—inefficient data access, high costs, and complex integration. They accelerate discoveries in precision medicine, benefiting institutions of all sizes and advancing global health.