Evidence map›Paper›PMID 25918036›Full record

SynthesisJournal of the American Society of Nephrology : JASN2015

Renal Mechanisms of Association between Fibroblast Growth Factor 1 and Blood Pressure.

Maciej Tomaszewski, James Eales, Matthew Denniff, Stephen Myers, Guat Siew Chew, Christopher P Nelson, Paraskevi Christofidou, Aishwarya Desai, Cara Büsst, Lukasz Wojnar and 12 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the American Society of Nephrology : JASN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  17. Cardiovascular Effects of Renal Distal Tubule Deletion of the FGF Receptor 1 Gene.Journal of the American Society of Nephrology : JASN · 2018
    Article
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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

22 authors at 9 institutions in 4 countries.

Maciej TomaszewskiDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; NIHR Biomedical Research Centre in Cardiovascular Disease, Leicester, United Kingdom; mt142@le.ac.uk.
James EalesDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom;
Matthew DenniffDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom;
Stephen MyersFaculty of Science and Technology, Federation University Australia, Ballarat, Australia;
Guat Siew ChewFaculty of Science and Technology, Federation University Australia, Ballarat, Australia;
Christopher P NelsonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; NIHR Biomedical Research Centre in Cardiovascular Disease, Leicester, United Kingdom;
Paraskevi ChristofidouDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom;
Aishwarya DesaiDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom;
Cara BüsstDepartment of Physiology, University of Melbourne, Melbourne, Australia;
Lukasz WojnarDepartments of Urology and.
Katarzyna MusialikEducation and Obesity Treatment and Metabolic Disorders, Poznan University of Medical Sciences, Poznan, Poland;
Jacek JozwiakDepartment of Public Health, Czestochowa University of Technology, Czestochowa, Poland;
Radoslaw DebiecDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom;
Anna F DominiczakInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom;
Gerjan NavisDepartments of Internal Medicine and.
Wiek H van GilstCardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands;
Pim van der HarstDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, The Netherlands; and.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; NIHR Biomedical Research Centre in Cardiovascular Disease, Leicester, United Kingdom;
Stephen HarrapDepartment of Physiology, University of Melbourne, Melbourne, Australia;
Pawel BogdanskiEducation and Obesity Treatment and Metabolic Disorders, Poznan University of Medical Sciences, Poznan, Poland;
Ewa Zukowska-SzczechowskaDepartment of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Zabrze, Poland.
Fadi J CharcharDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; Faculty of Science and Technology, Federation University Australia, Ballarat, Australia;
University of Leicester · GBFederation University · AUPoznan University of Medical Sciences · PLUniversity Medical Center Groningen · NLUniversity of Melbourne · AUCzęstochowa University of Technology · PLMedical University of Silesia · PLNIHR Leicester Cardiovascular Biomedical Research Unit · GBUniversity of Glasgow · GB

Funding

British Heart Foundation PG/12/9/29376
6 · The paper itself

Abstract

The fibroblast growth factor 1 (FGF1) gene is expressed primarily in the kidney and may contribute to hypertension. However, the biologic mechanisms underlying the association between FGF1 and BP regulation remain unknown. We report that the major allele of FGF1 single nucleotide polymorphism rs152524 was associated in a dose-dependent manner with systolic BP (P = 9.65 × 10(-5)) and diastolic BP (P = 7.61 × 10(-3)) in a meta-analysis of 14,364 individuals and with renal expression of FGF1 mRNA in 126 human kidneys (P=9.0 × 10(-3)). Next-generation RNA sequencing revealed that upregulated renal expression of FGF1 or of each of the three FGF1 mRNA isoforms individually was associated with higher BP. FGF1-stratified coexpression analysis in two separate collections of human kidneys identified 126 FGF1 partner mRNAs, of which 71 and 63 showed at least nominal association with systolic and diastolic BP, respectively. Of those mRNAs, seven mRNAs in five genes (MME, PTPRO, REN, SLC12A3, and WNK1) had strong prior annotation to BP or hypertension. MME, which encodes an enzyme that degrades circulating natriuretic peptides, showed the strongest differential coexpression with FGF1 between hypertensive and normotensive kidneys. Furthermore, higher level of renal FGF1 expression was associated with lower circulating levels of atrial and brain natriuretic peptides. These findings indicate that FGF1 expression in the kidney is at least under partial genetic control and that renal expression of several FGF1 partner genes involved in the natriuretic peptide catabolism pathway, renin-angiotensin cascade, and sodium handling network may explain the association between FGF1 and BP.

Indexed as

AdolescentAdultAgedBlood PressureFemaleFibroblast Growth Factor 1HumansHypertensionIntracellular Signaling Peptides and ProteinsKidneyMaleMiddle AgedMinor Histocompatibility AntigensNeprilysinPolymorphism, Single NucleotideProtein Serine-Threonine KinasesFibroblast Growth Factor 1Intracellular Signaling Peptides and ProteinsMinor Histocompatibility AntigensNeprilysinProtein Serine-Threonine KinasesPTPRO protein, humanReceptor-Like Protein Tyrosine Phosphatases, Class 3ReninRNA, MessengerSLC12A3 protein, humanSolute Carrier Family 12, Member 3WNK1 protein, humanWNK Lysine-Deficient Protein Kinase 1blood pressuregene expressiongene transcriptionglomerulushypertensionkidney

Identifiers

PMID25918036
PMCPMC4657842
OpenAlexW2168454634

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.