Environmental risk factors of incident distal sensorimotor polyneuropathy: Results from the prospective population-based KORA F4/FF4 study

Herder, Christian; Zhang, Siqi; Wolf, Kathrin; Maalmi, Haïfa; Bönhof, Gidon J.; Rathmann, Wolfgang; Schwettmann, Lars; Thorand, Barbara; Roden, Michael; Schneider, Alexandra; Ziegler, Dan; Peters, Annette

doi:10.1016/j.scitotenv.2022.159878

Cited by 5 publications

(4 citation statements)

References 66 publications

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“…We demonstrate the effectiveness of LEOPARD through extensive simulations using human proteomics and metabolomics data from the MGH (Massachusetts General Hospital) COVID study 17 and the KORA (Cooperative Health Research in the Region of Augsburg) cohort [18][19][20][21] (Fig. 1 (e)).…”

Section: Introductionmentioning

confidence: 94%

LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer

Han,

Yu,

Shi

et al. 2023

Preprint

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Longitudinal multi-view omics data offer unique insights into the temporal dynamics of individual-level physiology that is instrumental to advancements in personalized healthcare. However, the common occurrence of incomplete view makes inference tasks difficult, and there is a lack of tailored methods for solving this critical issue. Here, we introduce LEOPARD, an approach specifically designed to complete missing views for multi-timepoint omics data. By disentangling longitudinal omics data into content and temporal representations, LEOPARD transfers temporal knowledge to omics-specific content to complete missing views. Compared to generic imputation methods, LEOPARD gives the most robust and reliable results across three longitudinal proteomics and metabolomics datasets. LEOPARD-imputed data also achieve the closest performance to observed data in our regression and classification analyses. Our work takes the first step towards a principled and generalized treatment of missing views in longitudinal omics data, enabling comprehensive exploration of temporal changes within omics data.

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Section: Introductionmentioning

confidence: 94%

LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer

Han,

Yu,

Shi

et al. 2023

Preprint

Self Cite

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“…Novel studies suggest that novel risk factors such as air and noise pollution may not only increase the incidence of type 2 diabetes but also of DSPN, [115][116][117] so that ubiquitous environmental determinants also merit further investigation in this context. Clinical trials and additional modelling studies are needed to better decipher the optimal frequency of screening and the age at which to start and stop screening.…”

Section: Pharmacotherapy Of Painful Neuropathymentioning

confidence: 99%

“…More data are also needed on the effects of lifestyle interventions and medical treatments for screen‐detected prediabetes and diabetes on health outcomes over a longer follow‐up period, particularly in populations reflective of the prevalence of diabetes and on how best to increase the uptake of lifestyle interventions, especially among populations at highest risk of progression to diabetes and adverse health outcomes. Novel studies suggest that novel risk factors such as air and noise pollution may not only increase the incidence of type 2 diabetes but also of DSPN, 115–117 so that ubiquitous environmental determinants also merit further investigation in this context. Clinical trials and additional modelling studies are needed to better decipher the optimal frequency of screening and the age at which to start and stop screening.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Neuropathy in prediabetes

Ziegler

Herder

Παπάνας

2023

Diabetes Metabolism Res

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Diabetic neuropathies are the most frequent complications of diabetes, contributing to high morbidity, excess mortality, reduced quality of life, and increased healthcare costs. Prediabetes is characterised by glucose levels within an intermediate range above normoglycaemia yet below the diagnostic threshold for diabetes. In 2021, 10.6% and 6.2% of adults worldwide were estimated to have impaired glucose tolerance and impaired fasting glucose, respectively, the majority of whom are unaware of having prediabetes. Evidence has accumulated suggesting that prediabetes is a predictor of cardiovascular disease (CVD) and increased mortality. The past 2 decades have witnessed an extensive debate, particularly among diabetologists and neurologists, as to whether prediabetes is associated with peripheral neuropathy. In this review, we elaborate on the current evidence, particularly from population‐based studies supporting an increased risk of distal sensorimotor polyneuropathy (DSPN) and cardiovascular autonomic neuropathy (CAN) in people with prediabetes. Moreover, we discuss whether lifestyle interventions showing efficacy in preventing or delaying the transition from prediabetes to diabetes in persons with prediabetes may also exert favourable effects on the development and progression of DSPN and CAN. This review should help in raising the awareness of and translating the current knowledge on neuropathies in people with prediabetes into clinical practice and public health. The current recommendation that adults who are overweight or obese should be screened for prediabetes and referred to or offered preventive interventions should ultimately culminate in preventing not only CVD but also prediabetic neuropathy.

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“…While strict glucose control has a significant effect in reducing the risk of DSPN in type 1 diabetes, a more inconclusive pattern is seen in type 2 diabetes [21,27]. This underlines the complex pathophysiology of DSPN, which expands beyond hyperglycaemia and also includes oxidative stress, dyslipidaemia, mitochondrial dysfunction and even external factors such as environmental exposures [23,[28][29][30][31][32].…”

Section: Distal Symmetrical Polyneuropathymentioning

confidence: 99%

Inflammatory biomarkers in diabetes and diabetic complications

Okdahl

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Environmental risk factors of incident distal sensorimotor polyneuropathy: Results from the prospective population-based KORA F4/FF4 study

Cited by 5 publications

References 66 publications

LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer

LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer

Neuropathy in prediabetes

Inflammatory biomarkers in diabetes and diabetic complications

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