Endocrinology (including Diabetes Mellitus and Metabolic Disease)

Impacts of COVID-19 on Glycemia and Risk of Diabetic Ketoacidosis

1. Anukriti Sharma
2. Anita D. Misra-Hebert
3. Arshiya Mariam
4. Alex Milinovich
5. Anthony Onuzuruike
6. Wilhemina Koomson
7. Michael W. Kattan
8. Kevin M. Pantalone
9. Daniel M. Rotroff

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Unquantifiably low aldosterone concentrations are prevalent in hospitalised COVID-19 patients but may not be revealed by chemiluminescent immunoassay

1. Martin Wiegand
2. David J Halsall
3. Sarah L Cowan
4. Kevin Taylor
5. Robert J B Goudie
6. Jacobus Preller
7. Mark Gurnell

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Diabetes-Related Excess Mortality in Mexico: A Comparative Analysis of National Death Registries Between 2017–2019 and 2020

1. Omar Yaxmehen Bello-Chavolla
2. Neftali Eduardo Antonio-Villa
3. Carlos A. Fermín-Martínez
4. Luisa Fernández-Chirino
5. Arsenio Vargas-Vázquez
6. Daniel Ramírez-García
7. Martín Roberto Basile-Alvarez
8. Ana Elena Hoyos-Lázaro
9. Rodrigo M. Carrillo-Larco
10. Deborah J. Wexler
11. Jennifer Manne-Goehler
12. Jacqueline A. Seiglie

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Novel protein markers of androgen activity in humans: proteomic study of plasma from young chemically castrated men

1. Aleksander Giwercman
2. K Barbara Sahlin
3. Indira Pla Parada
4. Krzysztof Pawlowski
5. Carl Fehninger
6. Yvonne Lundberg Giwercman
7. Irene Leijonhufvud
8. Roger Appelqvist
9. György Marko-Varga
10. Aniel Sanchez
11. Johan Malm

• Curated by eLife

  Evaluation Summary:

  This manuscript addresses the important topic of how changes in gonadal testosterone relate to alterations in gonadal physiology. An important aspect of gonadal testosterone is that it can be an imperfect measure of symptoms related to testosterone deficiency. Therefore, biomarkers that are reflective of testosterone physiology might enable us to more deeply understand the connections between testosterone concentrations and eu- and hypogonadism. The authors performed a proteomic analysis in blood from 30 healthy males at baseline, treated with medical castration and again with testosterone replacement. Associated proteins identified using an unbiased approach were studied further in an independent cohort of 75 hypogonadal and eugonadal men with infertility. Overall, the authors found that 4-hydroxyphenylpyruvate dioxygenase, insulin-like growth factor-binding protein 6 and fructose-bisphosphate aldolase are candidate circulating protein biomarkers. This body of work is certainly novel and should be of interest to the field in hormonal regulation and physiology.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewers remained anonymous to the authors.)

Reviewed by eLife

Causal associations between body fat accumulation and COVID-19 severity: A Mendelian randomization study

1. Satoshi Yoshiji
2. Daisuke Tanaka
3. Hiroto Minamino
4. Tianyuan Lu
5. Guillaume Butler-Laporte
6. Takaaki Murakami
7. Yoshihito Fujita
8. J. Brent Richards
9. Nobuya Inagaki

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Increased risk of poor clinical outcome in COVID ‐19 patients with diabetes mellitus and in‐hospital mortality predictors: A retrospective cohort from a tertiary hospital in Indonesia

1. Md Ikhsan Mokoagow
2. Dante Saksono Harbuwono
3. Ida Ayu Kshanti
4. C. Martin Rumende
5. Imam Subekti
6. Kuntjoro Harimurti
7. Khie Chen
8. Hamzah Shatri

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Type 2 diabetes mellitus accelerates brain aging and cognitive decline: Complementary findings from UK Biobank and meta-analyses

1. Botond Antal
2. Liam P McMahon
3. Syed Fahad Sultan
4. Andrew Lithen
5. Deborah J Wexler
6. Bradford Dickerson
7. Eva-Maria Ratai
8. Lilianne R Mujica-Parodi

• Curated by eLife

  Evaluation Summary:

  The current manuscript will be of interest to researchers working in aging, diabetes, and neurocognition. This work emphasizes the role of diabetes in brain aging and cognitive functions that are considered an hourly need due to the increasing trend in the prevalence of diabetes around the world. This article provides valuable information about specific brain regions altered during aging and diabetes. Further, this article reports how T2DM accelerates the aging-associated decline in cognition and brain function. Extensive analysis of human datasets and comparison with published data from other researchers support the conclusion of this study. However, as mentioned by the authors, certain decisions like diabetic interventions that do not rescue brain damage need further validation.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewers remained anonymous to the authors.)

Reviewed by eLife

A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes

1. Xiaojing Chu
2. Anna WM Janssen
3. Hans Koenen
4. Linzhung Chang
5. Xuehui He
6. Irma Joosten
7. Rinke Stienstra
8. Yunus Kuijpers
9. Cisca Wijmenga
10. Cheng-Jian Xu
11. Mihai G Netea
12. Cees J Tack
13. Yang Li

• Curated by eLife

  Evaluation Summary:

  This study examines genetic and non-genetic factors influencing immune responses in type 1 diabetes Key findings are: 1) age and season affect immune cell traits and cytokine production upon stimulation; 2) certain genetic variants that determine susceptibility to T1D significantly affect T cell composition, notably the CCR region that is associated with CCR5+ regulatory T cells; and 3) 15 genetic loci that influence immune responses in T1D, most of which have not been seen previously in healthy populations. The results suggest mechanisms of T1D-specific genetic regulation.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewers remained anonymous to the authors.)

Reviewed by eLife

Prediction of type 2 diabetes mellitus onset using logistic regression-based scorecards

1. Yochai Edlitz
2. Eran Segal

• Curated by eLife

  Evaluation Summary:

  The authors have used the UK bio-bank with sophisticated statistical modeling to predict the risk of type 2 diabetes mellitus development. Prognosis and early detection of diabetes are key factors in clinical practice and the current data suggest a new machine-learning based algorithm that further advances our ability to prevent diabetes.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 and Reviewer #3 agreed to share their name with the authors.)

Reviewed by eLife

Humoral immune response to COVID‐19 vaccination in diabetes is age‐dependent but independent of type of diabetes and glycaemic control: The prospective COVAC‐DM cohort study

1. Caren Sourij
2. Norbert J. Tripolt
3. Faisal Aziz
4. Felix Aberer
5. Patrick Forstner
6. Anna M. Obermayer
7. Harald Kojzar
8. Barbara Kleinhappl
9. Peter N. Pferschy
10. Julia K. Mader
11. Gerhard Cvirn
12. Nandu Goswami
13. Nadine Wachsmuth
14. Max L. Eckstein
15. Alexander Müller
16. Farah Abbas
17. Jacqueline Lenz
18. Michaela Steinberger
19. Lisa Knoll
20. Robert Krause
21. Martin Stradner
22. Peter Schlenke
23. Nazanin Sareban
24. Barbara Prietl
25. Susanne Kaser
26. Othmar Moser
27. Ivo Steinmetz
28. Harald Sourij
29. COVAC‐DM study group

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