1. Serum proteomic profiling of physical activity reveals CD300LG as a novel exerkine with a potential causal link to glucose homeostasis

    This article has 17 authors:
    1. Sindre Lee-Ødegård
    2. Marit Hjorth
    3. Thomas Olsen
    4. Gunn-Helen Moen
    5. Emily Daubney
    6. David M Evans
    7. Andrea Hevener
    8. Aldons Jake Lusis
    9. Mingqi Zhou
    10. Marcus Michael Seldin
    11. Hooman Allayee
    12. James R Hilser
    13. Jonas Krag Viken
    14. Hanne L Gulseth
    15. Frode Norheim
    16. Christian A Drevon
    17. Kåre I Birkeland
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This useful manuscript describes a proteomic analysis of plasma from subjects before and after an exercise regime consisting of endurance and resistance exercise. The work identifies a putative new exerkine, CD300LG, and finds associations of this protein with aspects of insulin sensitivity and angiogenesis. The characterization remains incomplete at present. Because CD300LG may have a transmembrane domain, one possibility is that exercise causes the release of extracellular vesicles containing this protein. As this study reports associations, additional studies will be needed to establish causality. The paper will hopefully prompt further studies to more fully elucidate the underlying biology.

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    This article has 8 evaluationsAppears in 1 listLatest version Latest activity
  2. Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes

    This article has 10 authors:
    1. Jiang Li
    2. Yuefeng Yu
    3. Ying Sun
    4. Yanqi Fu
    5. Wenqi Shen
    6. Lingli Cai
    7. Xiao Tan
    8. Ningjian Wang
    9. Yingli Lu
    10. Bin Wang
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This valuable study combines prospective cohort, metabolomics, and machine learning to identify a panel of 9 circulating metabolites that improved the ability in risk prediction of progression from prediabetes to diabetes. The findings are solid and the methods, data, and analyses support the claims. However, the interpretation would benefit from a more rigorous description. With revision of these weaknesses, this paper would provide insights into the integration of these metabolites into clinical and public health practice.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  3. Hyperglycemia-induced cathepsin L maturation: Linking to diabetic comorbidities and COVID-19 mortality

    This article has 10 authors:
    1. Qiong He
    2. Miao-Miao Zhao
    3. Ming-Jia Li
    4. Xiao-Ya Li
    5. Jian-Min Jin
    6. Ying-Mei Feng
    7. Li Zhang
    8. Wei-Jin Huang
    9. Fang-Yuan Yang
    10. Jin-Kui Yang
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This valuable study advances our understanding of why diabetes is a risk factor for more severe Covid-19 disease. The authors offer convincing evidence that cathepsin L is more active in diabetic individuals because of the presence of high glucose, where the main mechanism is increased cathepsin L maturation. This study should be of interest to researchers in diabetes, virology and immunology.

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    This article has 7 evaluationsAppears in 1 listLatest version Latest activity
  4. The impact of surgery and oncological treatment on risk of type 2 diabetes onset in patients with colorectal cancer: nationwide cohort study in Denmark

    This article has 8 authors:
    1. Caroline Krag
    2. Maria Saur Svane
    3. Sten Madsbad
    4. Susanne Boel Graversen
    5. Jesper Frank Christensen
    6. Thorkild IA Sørensen
    7. Louise Lang Lehrskov
    8. Tinne Laurberg
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This valuable study presents findings that suggest the need for postoperative type 2 diabetes screening and that this should be prioritized in colorectal cancer survivors with overweight/obesity regardless of the type of colorectal cancer treatment applied. The evidence supporting the claims of the authors is solid and the authors use a population-based cohort study including all Danish colorectal patients who had undergone colorectal cancer surgery between 2001-2018. The work will be of interest to medical biologists, endocrinologists and oncologists working on colorectal cancer.

    Reviewed by eLife

    This article has 6 evaluationsAppears in 1 listLatest version Latest activity
  5. Bone canonical Wnt signaling is downregulated in type 2 diabetes and associates with higher advanced glycation end-products (AGEs) content and reduced bone strength

    This article has 18 authors:
    1. Giulia Leanza
    2. Francesca Cannata
    3. Malak Faraj
    4. Claudio Pedone
    5. Viola Viola
    6. Flavia Tramontana
    7. Niccolò Pellegrini
    8. Gianluca Vadalà
    9. Alessandra Piccoli
    10. Rocky Strollo
    11. Francesca Zalfa
    12. Alec T Beeve
    13. Erica L Scheller
    14. Simon Y Tang
    15. Roberto Civitelli
    16. Mauro Maccarrone
    17. Rocco Papalia
    18. Nicola Napoli
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This study provides valuable insights into understanding bone fragility in T2D patients through the use of human skeletal tissue, reinforcing previous pre-clinical studies or observational studies using serum samples that the Wnt signaling pathway may play a critical role in T2D-related bone impairment. The methods are solid, but a limited number of subjects and a small set of genes with lack of data in terms of cellular properties of skeletal tissue are viewed as weaknesses.

    Reviewed by eLife

    This article has 8 evaluationsAppears in 1 listLatest version Latest activity
  6. Deciphering the complex relationship between type 2 diabetes and fracture risk with both genetic and observational evidence

    This article has 13 authors:
    1. Pianpian Zhao
    2. Zhifeng Sheng
    3. Lin Xu
    4. Peng Li
    5. Wenjin Xiao
    6. Chengda Yuan
    7. Zhanwei Xu
    8. Mengyuan Yang
    9. Yu Qian
    10. Jiadong Zhong
    11. Jiaxuan Gu
    12. David Karasik
    13. Hou-Feng Zheng
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This study aims to explore the diabetes-bone paradox using the Mendelian Randomization approach. That diabetes itself is not the direct cause, but rather the complications or associated risk factors increase the risk of fracture, constitutes a valuable insight. Mendelian randomization to explain the relationship of two complex conditions is solid and conducted properly; however, the efforts to reconcile the discrepancies between the Mendelian Randomization analysis and observational studies are incomplete.

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    This article has 7 evaluationsAppears in 1 listLatest version Latest activity
  7. Relationship between circulating FSH levels and body composition and bone health in patients with prostate cancer who undergo androgen deprivation therapy: The BLADE study

    This article has 19 authors:
    1. Marco Bergamini
    2. Alberto Dalla Volta
    3. Carlotta Palumbo
    4. Stefania Zamboni
    5. Luca Triggiani
    6. Manuel Zamparini
    7. Marta Laganà
    8. Luca Rinaudo
    9. Nunzia Di Meo
    10. Irene Caramella
    11. Roberto Bresciani
    12. Francesca Valcamonico
    13. Paolo Borghetti
    14. Andrea Guerini
    15. Davide Farina
    16. Alessandro Antonelli
    17. Claudio Simeone
    18. Gherardo Mazziotti
    19. Alfredo Berruti
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      The authors observed a positive correlation between FSH and fat mass, as well as a negative association with the appendicular lean mass/fat mass ratio. These valuable findings in male subjects within a hypogonadal setting following Degarelix treatment imply that FSH might function as a predictor, similar to observations in women. However, it's important to note that the analysis is incomplete, as other major confounding factors such as testosterone were not included.

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    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  8. Deep Learning Using High-Resolution Images of Forearm Predicts Fracture

    This article has 10 authors:
    1. Roland Chapurlat
    2. Serge Ferrari
    3. Xiaoxu Li
    4. Yu Peng
    5. Min Xu
    6. Min Bui
    7. Elisabeth Sornay-Rendu
    8. Eric lespessailles
    9. Emmanuel Biver
    10. Ego Seeman
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This study presents a valuable deep learning-based model for predicting fracture within the next five years from just a standard distal radius and ulna scan obtained using high-resolution computed tomography images. The evidence supporting the conclusion that the model-predicted fracture prediction score can be used clinically to identify women at risk of fracture more effectively than with the current standard clinical approach is convincing. This work will be of interest to biomechanists and biomedical engineers working on osteoporosis.

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    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  9. Clinical Characteristics and Outcomes of Patients With Diabetes Admitted for COVID-19 Treatment in Dubai: Single-Centre Cross-Sectional Study

    This article has 5 authors:
    1. Rahila Bhatti
    2. Amar Hassan Khamis
    3. Samara Khatib
    4. Seemin Shiraz
    5. Glenn Matfin

    Reviewed by ScreenIT

    This article has 1 evaluationAppears in 1 listLatest version Latest activity
  10. Laboratory findings that predict a poor prognosis in COVID-19 patients with diabetes: A meta-analysis

    This article has 2 authors:
    1. Francisco Alejandro Lagunas-Rangel
    2. Venice Chávez-Valencia

    Reviewed by ScreenIT

    This article has 1 evaluationAppears in 1 listLatest version Latest activity