Evidence map›Paper›PMID 35856088›Full record

ArticleCommunications biology2022

Mendelian randomization reveals causal effects of kidney function on various biochemical parameters.

Sehoon Park, Soojin Lee, Yaerim Kim, Semin Cho, Hyeok Huh, Kwangsoo Kim, Yong Chul Kim, Seung Seok Han, Hajeong Lee, Jung Pyo Lee and 4 more

Abstract read
In one paragraph

Article in Communications biology, 2022. 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. Article
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  3. Review
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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

14 authors.

Sehoon ParkDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Soojin LeeDepartment of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Korea.
Yaerim KimDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Semin ChoDepartment of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, Korea.
Hyeok HuhDepartment of Internal Medicine, Inje University Busan Paik Hospital, Busan, Korea.
Kwangsoo KimTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea.
Yong Chul KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Seung Seok HanDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-0137-5261
Hajeong LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Jung Pyo LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Kwon Wook JooDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Chun Soo LimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yon Su KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea. dkkim73@gmail.com.ORCID 0000-0002-5195-7852

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

The kidney is a vital organ with diverse biological effects and the burden of kidney function impairment is increasing in modern medicine. As the effects from kidney function on diverse biochemical parameters are yet fully understood, additional investigation to reveal the causal effects is warranted. Here we show the causal estimates from kidney function parameter, estimated glomerular filtration rate (eGFR), on 60 biochemical parameters by performing two-sample Mendelian randomization (MR) study in 337,138 white British UK Biobank participants. A higher genetically predicted eGFR was significantly associated with higher lymphocyte percentage, HDL cholesterol, and alanine aminotransferase. The causal estimates indicated that a higher genetically predicted eGFR was associated with lower urea, urate, insulin growth factor-1, and triglycerides levels. The parameters with significant but non-linear causal estimates were hemoglobin concentration, calcium, vitamin D, and urine creatinine values, identified by non-linear MR. Healthcare providers should understand that changes in eGFR may affect the identified biochemical parameters in diverse patterns. Future study is warranted to expand the knowledge of the mechanisms and clinical implications of the causal effects of eGFR on various biochemical parameters.

Indexed as

Mendelian Randomization AnalysisPolymorphism, Single NucleotideCholesterol, HDLGlomerular Filtration RateHumansKidneyCholesterol, HDL

Identifiers

PMID35856088
PMCPMC9293908

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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.