The complexity of kidney disease and diagnosing it – cystatin C, selective glomerular hypofiltration syndromes and proteome regulation Article Swipe
Linnea Malmgren
,
Carl M. Öberg
,
Emil den Bakker
,
Felicia Leion
,
Joanna Siódmiak
,
Anna Åkesson
,
Veronica Lindström
,
Erik Herou
,
Alain Dardashti
,
Liana Xhakollari
,
Gabriel Grubb
,
Helena Strevens
,
Magnus Abrahamson
,
Johanna Helmersson‐Karlqvist
,
Martin Magnusson
,
Jonas Björk
,
Ulf Nyman
,
Johan Ärnlöv
,
Peter Ridefelt
,
Torbjörn Åkerfeldt
,
Magnus Hansson
,
Anna Sjöström
,
Johan Mårtensson
,
Yoshihisa Itoh
,
David Grubb
,
Olav Tenstad
,
Lars‐Olov Hansson
,
Ísleifur Ólafsson
,
Araceli Jarquin Campos
,
Martin Risch
,
Lorenz Risch
,
Anders Larsson
,
Gunnar Nordin
,
Hans Pottel
,
Anders Christensson
,
Henrik Bjursten
,
Arend Bökenkamp
,
Anders Grubb
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/joim.13589
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/joim.13589
Estimation of kidney function is often part of daily clinical practice, mostly done by using the endogenous glomerular filtration rate (GFR)‐markers creatinine or cystatin C. A recommendation to use both markers in parallel in 2010 has resulted in new knowledge concerning the pathophysiology of kidney disorders by the identification of a new set of kidney disorders, selective glomerular hypofiltration syndromes . These syndromes, connected to strong increases in mortality and morbidity, are characterized by a selective reduction in the glomerular filtration of 5–30 kDa molecules, such as cystatin C, compared to the filtration of small molecules <1 kDa dominating the glomerular filtrate, for example water, urea and creatinine. At least two types of such disorders, shrunken or elongated pore syndrome, are possible according to the pore model for glomerular filtration. Selective glomerular hypofiltration syndromes are prevalent in investigated populations, and patients with these syndromes often display normal measured GFR or creatinine‐based GFR‐estimates. The syndromes are characterized by proteomic changes promoting the development of atherosclerosis, indicating antibodies and specific receptor‐blocking substances as possible new treatment modalities. Presently, the KDIGO guidelines for diagnosing kidney disorders do not recommend cystatin C as a general marker of kidney function and will therefore not allow the identification of a considerable number of patients with selective glomerular hypofiltration syndromes. Furthermore, as cystatin C is uninfluenced by muscle mass, diet or variations in tubular secretion and cystatin C‐based GFR‐estimation equations do not require controversial race or sex terms, it is obvious that cystatin C should be a part of future KDIGO guidelines.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1111/joim.13589
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/joim.13589
- OA Status
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- Cited By
- 73
- References
- 125
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4309176374Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/joim.13589Digital Object Identifier
- Title
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The complexity of kidney disease and diagnosing it – cystatin C, selective glomerular hypofiltration syndromes and proteome regulationWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-11-17Full publication date if available
- Authors
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Linnea Malmgren, Carl M. Öberg, Emil den Bakker, Felicia Leion, Joanna Siódmiak, Anna Åkesson, Veronica Lindström, Erik Herou, Alain Dardashti, Liana Xhakollari, Gabriel Grubb, Helena Strevens, Magnus Abrahamson, Johanna Helmersson‐Karlqvist, Martin Magnusson, Jonas Björk, Ulf Nyman, Johan Ärnlöv, Peter Ridefelt, Torbjörn Åkerfeldt, Magnus Hansson, Anna Sjöström, Johan Mårtensson, Yoshihisa Itoh, David Grubb, Olav Tenstad, Lars‐Olov Hansson, Ísleifur Ólafsson, Araceli Jarquin Campos, Martin Risch, Lorenz Risch, Anders Larsson, Gunnar Nordin, Hans Pottel, Anders Christensson, Henrik Bjursten, Arend Bökenkamp, Anders GrubbList of authors in order
- Landing page
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https://doi.org/10.1111/joim.13589Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/joim.13589Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/joim.13589Direct OA link when available
- Concepts
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Cystatin C, Renal function, Medicine, Creatinine, Kidney disease, Internal medicine, Kidney, Endocrinology, Cystatin, UrologyTop concepts (fields/topics) attached by OpenAlex
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73Total citation count in OpenAlex
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2025: 27, 2024: 27, 2023: 17, 2022: 1Per-year citation counts (last 5 years)
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125Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.treatment | 174 |
| abstract_inverted_index.Estimation | 1 |
| abstract_inverted_index.Presently, | 176 |
| abstract_inverted_index.antibodies | 166 |
| abstract_inverted_index.concerning | 41 |
| abstract_inverted_index.creatinine | 22 |
| abstract_inverted_index.diagnosing | 181 |
| abstract_inverted_index.disorders, | 56, 115 |
| abstract_inverted_index.dominating | 99 |
| abstract_inverted_index.endogenous | 17 |
| abstract_inverted_index.filtration | 19, 81, 93 |
| abstract_inverted_index.glomerular | 18, 58, 80, 101, 129, 132, 211 |
| abstract_inverted_index.guidelines | 179 |
| abstract_inverted_index.indicating | 165 |
| abstract_inverted_index.molecules, | 85 |
| abstract_inverted_index.morbidity, | 71 |
| abstract_inverted_index.substances | 170 |
| abstract_inverted_index.syndromes, | 63 |
| abstract_inverted_index.syndromes. | 213 |
| abstract_inverted_index.variations | 225 |
| abstract_inverted_index.creatinine. | 108 |
| abstract_inverted_index.development | 162 |
| abstract_inverted_index.filtration. | 130 |
| abstract_inverted_index.guidelines. | 255 |
| abstract_inverted_index.modalities. | 175 |
| abstract_inverted_index.Furthermore, | 214 |
| abstract_inverted_index.considerable | 205 |
| abstract_inverted_index.investigated | 138 |
| abstract_inverted_index.populations, | 139 |
| abstract_inverted_index.uninfluenced | 219 |
| abstract_inverted_index.characterized | 73, 156 |
| abstract_inverted_index.controversial | 237 |
| abstract_inverted_index.hypofiltration | 59, 133, 212 |
| abstract_inverted_index.identification | 49, 202 |
| abstract_inverted_index.recommendation | 27 |
| abstract_inverted_index.(GFR)‐markers | 21 |
| abstract_inverted_index.pathophysiology | 43 |
| abstract_inverted_index.GFR‐estimates. | 152 |
| abstract_inverted_index.GFR‐estimation | 232 |
| abstract_inverted_index.atherosclerosis, | 164 |
| abstract_inverted_index.creatinine‐based | 151 |
| abstract_inverted_index.receptor‐blocking | 169 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5052836792 |
| countries_distinct_count | 10 |
| institutions_distinct_count | 38 |
| corresponding_institution_ids | https://openalex.org/I187531555, https://openalex.org/I4210137844 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.99140735 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |