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The role of circulating galectin-1 in type 2 diabetes and chronic kidney disease : evidence from cross-sectional, longitudinal and Mendelian randomisation analyses

Drake, Isabel LU ; Fryk, Emanuel ; Strindberg, Lena ; Lundqvist, Annika ; Rosengren, Anders H. LU ; Groop, Leif LU ; Ahlqvist, Emma LU ; Borén, Jan ; Orho-Melander, Marju LU and Jansson, Per Anders (2022) In Diabetologia 65(1). p.128-139
Abstract

Aims/hypothesis: Galectin-1 modulates inflammation and angiogenesis, and cross-sectional studies indicate that galectin-1 may be a uniting factor between obesity, type 2 diabetes and kidney function. We examined whether circulating galectin-1 can predict incidence of chronic kidney disease (CKD) and type 2 diabetes in a middle-aged population, and if Mendelian randomisation (MR) can provide evidence for causal direction of effects. Methods: Participants (n = 4022; 58.6% women) in the Malmö Diet and Cancer Study–Cardiovascular Cohort enrolled between 1991 and 1994 (mean age 57.6 years) were examined. eGFR was calculated at baseline and after a mean follow-up of 16.6 ± 1.5 years. Diabetes status was ascertained through registry linkage... (More)

Aims/hypothesis: Galectin-1 modulates inflammation and angiogenesis, and cross-sectional studies indicate that galectin-1 may be a uniting factor between obesity, type 2 diabetes and kidney function. We examined whether circulating galectin-1 can predict incidence of chronic kidney disease (CKD) and type 2 diabetes in a middle-aged population, and if Mendelian randomisation (MR) can provide evidence for causal direction of effects. Methods: Participants (n = 4022; 58.6% women) in the Malmö Diet and Cancer Study–Cardiovascular Cohort enrolled between 1991 and 1994 (mean age 57.6 years) were examined. eGFR was calculated at baseline and after a mean follow-up of 16.6 ± 1.5 years. Diabetes status was ascertained through registry linkage (mean follow-up of 18.4 ± 6.1 years). The associations of baseline galectin-1 with incident CKD and type 2 diabetes were assessed with Cox regression, adjusting for established risk factors. In addition, a genome-wide association study on galectin-1 was performed to identify genetic instruments for two-sample MR analyses utilising the genetic associations obtained from the Chronic Kidney Disease Genetics (CKDGen) Consortium (41,395 cases and 439,303 controls) and the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) consortium (74,124 cases and 824,006 controls). One genome-wide significant locus in the galectin-1 gene region was identified (sentinel SNP rs7285699; p = 2.4 × 10−11). The association between galectin-1 and eGFR was also examined in individuals with newly diagnosed diabetes from the All New Diabetics In Scania (ANDIS) cohort. Results: Galectin-1 was strongly associated with lower eGFR at baseline (p = 2.3 × 10−89) but not with incident CKD. However, galectin-1 was associated with increased risk of type 2 diabetes (per SD increase, HR 1.12; 95% CI 1.02, 1.24). Two-sample MR analyses could not ascertain a causal effect of galectin-1 on CKD (OR 0.92; 95% CI 0.82, 1.02) or type 2 diabetes (OR 1.05; 95% CI 0.98, 1.14) in a general population. However, in individuals with type 2 diabetes from ANDIS who belonged to the severe insulin-resistant diabetes subgroup and were at high risk of diabetic nephropathy, genetically elevated galectin-1 was significantly associated with higher eGFR (p = 5.7 × 10−3). Conclusions/interpretation: Galectin-1 is strongly associated with lower kidney function in cross-sectional analyses, and two-sample MR analyses suggest a causal protective effect on kidney function among individuals with type 2 diabetes at high risk of diabetic nephropathy. Future studies are needed to explore the mechanisms by which galectin-1 affects kidney function and whether it could be a useful target among individuals with type 2 diabetes for renal improvement. Graphical abstract: [Figure not available: see fulltext.]

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organization
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type
Contribution to journal
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published
subject
keywords
ANDIS, Chronic kidney disease, Galectin-1, Human, Malmö Diet Cancer, Mendelian randomisation, Population-based, Prospective, Type 2 diabetes
in
Diabetologia
volume
65
issue
1
pages
128 - 139
publisher
Springer
external identifiers
  • pmid:34743218
  • scopus:85118535343
ISSN
0012-186X
DOI
10.1007/s00125-021-05594-1
language
English
LU publication?
yes
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Publisher Copyright: © 2021, The Author(s).
id
0b249d22-dc62-45ee-a8dd-dc0eb4231066
date added to LUP
2021-12-02 12:13:29
date last changed
2024-06-15 21:57:47
@article{0b249d22-dc62-45ee-a8dd-dc0eb4231066,
  abstract     = {{<p>Aims/hypothesis: Galectin-1 modulates inflammation and angiogenesis, and cross-sectional studies indicate that galectin-1 may be a uniting factor between obesity, type 2 diabetes and kidney function. We examined whether circulating galectin-1 can predict incidence of chronic kidney disease (CKD) and type 2 diabetes in a middle-aged population, and if Mendelian randomisation (MR) can provide evidence for causal direction of effects. Methods: Participants (n = 4022; 58.6% women) in the Malmö Diet and Cancer Study–Cardiovascular Cohort enrolled between 1991 and 1994 (mean age 57.6 years) were examined. eGFR was calculated at baseline and after a mean follow-up of 16.6 ± 1.5 years. Diabetes status was ascertained through registry linkage (mean follow-up of 18.4 ± 6.1 years). The associations of baseline galectin-1 with incident CKD and type 2 diabetes were assessed with Cox regression, adjusting for established risk factors. In addition, a genome-wide association study on galectin-1 was performed to identify genetic instruments for two-sample MR analyses utilising the genetic associations obtained from the Chronic Kidney Disease Genetics (CKDGen) Consortium (41,395 cases and 439,303 controls) and the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) consortium (74,124 cases and 824,006 controls). One genome-wide significant locus in the galectin-1 gene region was identified (sentinel SNP rs7285699; p = 2.4 × 10<sup>−11</sup>). The association between galectin-1 and eGFR was also examined in individuals with newly diagnosed diabetes from the All New Diabetics In Scania (ANDIS) cohort. Results: Galectin-1 was strongly associated with lower eGFR at baseline (p = 2.3 × 10<sup>−89</sup>) but not with incident CKD. However, galectin-1 was associated with increased risk of type 2 diabetes (per SD increase, HR 1.12; 95% CI 1.02, 1.24). Two-sample MR analyses could not ascertain a causal effect of galectin-1 on CKD (OR 0.92; 95% CI 0.82, 1.02) or type 2 diabetes (OR 1.05; 95% CI 0.98, 1.14) in a general population. However, in individuals with type 2 diabetes from ANDIS who belonged to the severe insulin-resistant diabetes subgroup and were at high risk of diabetic nephropathy, genetically elevated galectin-1 was significantly associated with higher eGFR (p = 5.7 × 10<sup>−3</sup>). Conclusions/interpretation: Galectin-1 is strongly associated with lower kidney function in cross-sectional analyses, and two-sample MR analyses suggest a causal protective effect on kidney function among individuals with type 2 diabetes at high risk of diabetic nephropathy. Future studies are needed to explore the mechanisms by which galectin-1 affects kidney function and whether it could be a useful target among individuals with type 2 diabetes for renal improvement. Graphical abstract: [Figure not available: see fulltext.]</p>}},
  author       = {{Drake, Isabel and Fryk, Emanuel and Strindberg, Lena and Lundqvist, Annika and Rosengren, Anders H. and Groop, Leif and Ahlqvist, Emma and Borén, Jan and Orho-Melander, Marju and Jansson, Per Anders}},
  issn         = {{0012-186X}},
  keywords     = {{ANDIS; Chronic kidney disease; Galectin-1; Human; Malmö Diet Cancer; Mendelian randomisation; Population-based; Prospective; Type 2 diabetes}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{128--139}},
  publisher    = {{Springer}},
  series       = {{Diabetologia}},
  title        = {{The role of circulating galectin-1 in type 2 diabetes and chronic kidney disease : evidence from cross-sectional, longitudinal and Mendelian randomisation analyses}},
  url          = {{http://dx.doi.org/10.1007/s00125-021-05594-1}},
  doi          = {{10.1007/s00125-021-05594-1}},
  volume       = {{65}},
  year         = {{2022}},
}