ArticleBiochemistry and biophysics reports2019
Proteomic identification of elevated saliva kallikrein levels in the
Article in Biochemistry and biophysics reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Collagen VI is a fibrosis-associated signal disrupting muscle regeneration across distinct human myopathies.EMBO reports · 2026Article
- Proteomic analysis identifying proteins relevant for treatment success following experimental neonatal inflammation-sensitized hypoxia-ischemia.Pediatric research · 2026Article
- How Can Proteomics Help to Elucidate the Pathophysiological Crosstalk in Muscular Dystrophy and Associated Multi-System Dysfunction?Proteomes · 2024Article
- Extracellular Matrix Proteomics: TheBiomolecules · 2023Review
- Proteomic Identification of Saliva Proteins as Noninvasive Diagnostic Biomarkers.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Proteomic Identification of Markers of Membrane Repair, Regeneration and Fibrosis in the Aged and Dystrophic Diaphragm.Life (Basel, Switzerland) · 2022Article
- Exposure to theMicrobiology (Reading, England) · 2022Article
- Complexity of skeletal muscle degeneration: multi-systems pathophysiology and organ crosstalk in dystrophinopathy.Pflugers Archiv : European journal of physiology · 2021Review
- Mass Spectrometric Profiling of Extraocular Muscle and Proteomic Adaptations in theLife (Basel, Switzerland) · 2021Article
- TheMolecular & cellular proteomics : MCP · 2020Article
- Dataset on the comparative proteomic profiling of mouse saliva and serum from wild type versus the dystrophicData in brief · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dystrophinopathies are multi-system disorders that affect the skeletal musculature, the cardio-respiratory system and the central nervous system. The systematic screening of suitable biofluids for released or altered proteins promises new insights into the highly complex pathophysiology of X-linked muscular dystrophy. However, standard detection approaches using antibody-based assays often fail to reproducibly detect low-abundance protein isoforms in dilute biological fluids. In contrast, mass spectrometric screening approaches enable the proteome-wide identification of minor protein changes in biofluids. This report describes the findings from the comparative proteomic analysis of whole saliva samples from wild type versus the established
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Registered trials
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.