eLife

Latest preprint reviews

1. The G-protein coupled receptor GPR34 promotes the homeostatic state of microglia and restrains the disease-associated microglial response in an AD model

   This article has 34 authors:

   1. Ana Geller
   2. Min Jee Kwon
   3. Sean K. Simmons
   4. Qihong Xu
   5. William E. Martenis
   6. Jordan Doman
   7. Sahana Natarajan
   8. Katherine J. Stalnaker
   9. Jixiang Zhang
   10. Xian Adiconis
   11. Trang Nguyen
   12. Matthew Demers
   13. Donovan Batzli
   14. Antia Valle-Tojeiro
   15. Christy Biji
   16. Sameer Aryal
   17. Horia Pribiag
   18. Constanze Depp
   19. Nader Morshed
   20. Deeksha Misri
   21. Diana Bohannon
   22. Elena Longhi
   23. Hasmik Keshishian
   24. Steven A. Carr
   25. David McKinney
   26. Alexandra E. Gould
   27. Evan Lebois
   28. Michel Weïwer
   29. Beth Stevens
   30. Matthew Johnson
   31. Joshua Z. Levin
   32. Yan-Ling Zhang
   33. Morgan Sheng
   34. Prabhat S. Kunwar

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This valuable study provides key insights into the role of the G protein-coupled receptor GPR34 in an Alzheimer's disease (AD) model. Notably, its findings differ, at least in part, from those of previous studies, although the underlying reasons for these discrepancies are not investigated or discussed. The data show that GPR34 deficiency enhances the transcriptional disease-associated microglia signature in microglia and provide solid evidence that myelin is a GPR34 ligand, although the relevance of myelin engulfment in AD is unclear. This study would be of interest for neuro-immunologists and AD clinicians.

   Reviewed by eLife

2. A single evidence accumulation process informs perceptual choices and subsequent confidence reports

   This article has 7 authors:

   1. J.P. Grogan
   2. L. Vermeylen
   3. S.L. Mannion
   4. C. McCabe
   5. D. Monakhovych
   6. K. Desender
   7. R.G. O’Connell

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This valuable study addresses two debates about how confidence is computed: whether it continues the accumulation process that produced the initial choice or reflects a separate one, and whether that accumulation stops at a time limit or an evidence boundary. The evidence is solid, combining systematic model comparison with an independent neural marker of evidence accumulation to adjudicate between models that behaviour alone cannot separate. Support for the boundary-based stopping rule is stronger than for the single-process account, as the neural comparison is qualitative rather than quantified and the alternatives tested cover only a narrow range of plausible two-stage architectures. The work will be of interest to researchers studying decision-making and metacognition.

   Reviewed by eLife

3. Genetic canalization of nutrient resorption: evidence from a widespread grass under effective salt stress

   This article has 9 authors:

   1. Lele Liu
   2. Wenyi Sheng
   3. Huijia Song
   4. Cui Wang
   5. Na Li
   6. Lele Lin
   7. Yaolin Guo
   8. Ning Du
   9. Weihua Guo

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This important study demonstrates that nutrient resorption efficiency in the widespread wetland grass Phragmites australis is largely canalized by phylogeographic lineage, ecotype and geographic origin, rather than responding plastically to short-term salt stress. The findings have implications beyond plant ecophysiology because they suggest that predictions of wetland nutrient cycling under increasing salinization should account for the genetic composition of plant populations. The evidence supporting the central conclusions is compelling, based on a well-designed common-garden experiment involving 110 genotypes, paired control and salinity treatments, and convergent metabolomic, ionomic and whole-plant evidence confirming that the treatment imposed substantial physiological stress. The interpretation is nevertheless limited to one growing season and a single, moderate salinity treatment, leaving open whether chronic, more severe or multigenerational exposure might induce plastic or transgenerational responses; further clarification of the relationships among phylogeographic lineage, ecotype and latitude, and a more cautious interpretation of the variance explained by latitude, would strengthen the manuscript.

   Reviewed by eLife

4. Lineage tracing and live-cell imaging reveal that NeuroD1 does not reprogram microglia into neurons

   This article has 10 authors:

   1. Xiaoyu Li
   2. Yuxin Li
   3. Yue Cao
   4. Niewen Hu
   5. Baozhi Yang
   6. Pei Ouyang
   7. Yuxiao Jin
   8. Shuai Gao
   9. Bo Peng
   10. Yanxia Rao

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This is a valuable study addressing a debated question in brain repair research by testing whether NeuroD1 can convert brain immune cells into nerve cells using a virus-free genetic approach and live imaging. The solid evidence presented here supports that, under the conditions tested, NeuroD1-expressing cells do not become nerve cells and instead retain their original identity; however, some aspects of expression level, injury timing, and cell-type composition would benefit from further clarification. This work will be of interest to neuro-immunologists.

   Reviewed by eLife

5. The digital sphinx: Can a worm brain control a fly body?

   This article has 4 authors:

   1. Bingni W. Brunton
   2. Elliott T.T. Abe
   3. Lawrence Jianqiao Hu
   4. John C. Tuthill

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     What can a neural network trained to imitate animal behavior tell us about biology? This valuable work uses deep reinforcement learning to train an artificial neural network to transform the dynamics of a recurrent neural network based on the C. elegans connectome into a convincing adult Drosophila walking program in a physical model of the fly body, demonstrating that achieving plausible output dynamics does not in and of itself imply biologically meaningful simulation. Evidence for this basic claim is solid, but more extensive analyses, better methodological description, and a discussion of deeper fundamental challenges in the undertaking of biological brain modeling would strengthen the study. This result demands the attention of the practitioners of the growing field of connectome simulation for the purpose of gaining mechanistic understanding of nervous system function.

   Reviewed by eLife

6. cuBNM: GPU-Accelerated Brain Network Modeling

   This article has 10 authors:

   1. Amin Saberi
   2. Bin Wan
   3. Kevin J Wischnewski
   4. Kyesam Jung
   5. Leonard Sasse
   6. Felix Hoffstaedter
   7. Boris C Bernhardt
   8. Simon B Eickhoff
   9. Oleksandr V Popovych
   10. Sofie L Valk

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This important study introduces an open-source software package that improves the computational efficiency of whole-brain modelling and facilitates individualised model fitting in large neuroimaging cohorts. The evidence is convincing for the main computational and practical claims, supported by evaluations across multiple optimisation strategies, speed benchmarks, and demonstrations using human neuroimaging data. Its modular design and documentation should make it a resource that is of value to researchers interested in scalable and individualised brain network modelling.

   Reviewed by eLife

7. Modeling the prodromal phase of Alzheimer’s disease: Selective amyloid-driven failure of cholinergic medial septal neurons perturbs REM sleep, cognition, emotion, and broadcasts pathology in aging mice

   This article has 11 authors:

   1. Mathieu Nollet
   2. Wei Ba
   3. Berta Anuncibay Soto
   4. Chunyu Yin
   5. Leda Lignos
   6. Katarina Jovic
   7. Sara Wong
   8. Alexei L. Vyssotski
   9. Raquel Yustos
   10. Nicholas P. Franks
   11. William Wisden

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This is a valuable study of the effects of selective or broadband amyloid deposition in medial septum (MS) cholinergic neurons on neuropathology, cognition, sleep, and hyperexcitability in aging mice carrying risk factors for Alzheimer's disease (AD). The investigation is still incomplete, with some weaknesses related to conceptualization and methodology that need to be addressed.

   Reviewed by eLife

8. We couldn't get details of this article at this time:
   10.64898/2026.05.20.726720

9. We couldn't get details of this article at this time:
   10.1101/2025.11.07.687310

10. We couldn't get details of this article at this time:
    10.64898/2026.05.14.725080