Evidence map›Paper›PMID 40148534›Full record

ReviewNature reviews. Nephrology2025

Imaging and spatially resolved mass spectrometry applications in nephrology.

Brittney L Gorman, Catelynn C Shafer, Nagarjunachary Ragi, Kumar Sharma, Elizabeth K Neumann, Christopher R Anderton

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Spatial Atlas Creation at the Single Cell Level: Unveiling the Human Kidney Metaverse.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Brittney L GormanEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.ORCID http://orcid.org/0000-0002-5087-3606
Catelynn C ShaferDepartment of Chemistry, University of California, Davis, Davis, CA, 95695, USA.
Nagarjunachary RagiCenter for Precision Medicine, The University of Texas Health San Antonio, San Antonio, TX, USA.
Kumar SharmaCenter for Precision Medicine, The University of Texas Health San Antonio, San Antonio, TX, USA.ORCID http://orcid.org/0000-0002-7550-8525
Elizabeth K NeumannDepartment of Chemistry, University of California, Davis, Davis, CA, 95695, USA.
Christopher R AndertonEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA. Christopher.Anderton@pnnl.gov.ORCID http://orcid.org/0000-0002-6170-1033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of spatially resolved mass spectrometry (MS) and MS imaging approaches for studying biomolecular processes in the kidney is rapidly growing. These powerful methods, which enable label-free and multiplexed detection of many molecular classes across omics domains (including metabolites, drugs, proteins and protein post-translational modifications), are beginning to reveal new molecular insights related to kidney health and disease. The complexity of the kidney often necessitates multiple scales of analysis for interrogating biofluids, whole organs, functional tissue units, single cells and subcellular compartments. Various MS methods can generate omics data across these spatial domains and facilitate both basic science and pathological assessment of the kidney. Optimal processes related to sample preparation and handling for different MS applications are rapidly evolving. Emerging technology and methods, improvement of spatial resolution, broader molecular characterization, multimodal and multiomics approaches and the use of machine learning and artificial intelligence approaches promise to make these applications even more valuable in the field of nephology. Overall, spatially resolved MS and MS imaging methods have the potential to fill much of the omics gap in systems biology analysis of the kidney and provide functional outputs that cannot be obtained using genomics and transcriptomic methods.

Indexed as

KidneyKidney DiseasesMass SpectrometryNephrologyHumansProteomics

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.