Endocrinology (including Diabetes Mellitus and Metabolic Disease)

Bone canonical Wnt signaling is downregulated in type 2 diabetes and associates with higher advanced glycation end-products (AGEs) content and reduced bone strength

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

• 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

Deciphering the complex relationship between type 2 diabetes and fracture risk with both genetic and observational evidence

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

• 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.

Reviewed by eLife

Relationship between circulating FSH levels and body composition and bone health in patients with prostate cancer who undergo androgen deprivation therapy: The BLADE study

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

• 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.

Reviewed by eLife

Deep Learning Using High-Resolution Images of Forearm Predicts Fracture

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

• 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.

Reviewed by eLife

Clinical Characteristics and Outcomes of Patients With Diabetes Admitted for COVID-19 Treatment in Dubai: Single-Centre Cross-Sectional Study

1. Rahila Bhatti
2. Amar Hassan Khamis
3. Samara Khatib
4. Seemin Shiraz
5. Glenn Matfin

Reviewed by ScreenIT

Laboratory findings that predict a poor prognosis in COVID-19 patients with diabetes: A meta-analysis

1. Francisco Alejandro Lagunas-Rangel
2. Venice Chávez-Valencia

Reviewed by ScreenIT

Low serum 25-hydroxyvitamin D (25[OH]D) levels in patients hospitalised with COVID-19 are associated with greater disease severity: results of a local audit of practice

1. Grigorios Panagiotou
2. Su Ann Tee
3. Yasir Ihsan
4. Waseem Athar
5. Gabriella Marchitelli
6. Donna Kelly
7. Christopher S. Boot
8. Nadia Stock
9. James Macfarlane
10. Adrian R. Martineau
11. Graham Burns
12. Richard Quinton

Reviewed by ScreenIT

Thyroid Function Abnormalities in COVID-19 Patients

1. Weibin Wang
2. Xingyun Su
3. Yongfeng Ding
4. Weina Fan
5. Weibin Zhou
6. Junwei Su
7. Zhendong Chen
8. Hong Zhao
9. Kaijin Xu
10. Qin Ni
11. Xiaowei Xu
12. Yunqing Qiu
13. Lisong Teng

Reviewed by ScreenIT

Plasma levels of soluble ACE2are associated with sex, Metabolic Syndrome, and its biomarkers in a large cohort, pointing to a possible mechanism for increased severity in COVID-19

1. Sergey A. Kornilov
2. Isabelle Lucas
3. Kathleen Jade
4. Chengzhen L. Dai
5. Jennifer C. Lovejoy
6. Andrew T. Magis

Reviewed by ScreenIT

Monocytopenia, monocyte morphological anomalies and hyperinflammation characterise severe COVID ‐19 in type 2 diabetes

1. Fawaz Alzaid
2. Jean‐Baptiste Julla
3. Marc Diedisheim
4. Charline Potier
5. Louis Potier
6. Gilberto Velho
7. Bénédicte Gaborit
8. Philippe Manivet
9. Stéphane Germain
10. Tiphaine Vidal‐Trecan
11. Ronan Roussel
12. Jean‐Pierre Riveline
13. Elise Dalmas
14. Nicolas Venteclef
15. Jean‐François Gautier

Reviewed by ScreenIT