2025 Hyper Recent •CC0 1.0 Universal

This work is dedicated to the public domain. No rights reserved.

Access Preprint From Server
July 18th, 2025
Version: 2
Biodesign Center for Health Through Microbiomes, Arizona State University, Tempe, AZ
neuroscience
biorxiv

Reanalysis of metabolomics data reveals that microbiota transplant therapy modulates important fecal and plasma metabolite profiles in children with autism spectrum disorders

Nirmalkar, K.Open in Google Scholar•Qureshi, F.Open in Google Scholar•Kang, D.-W.Open in Google Scholar•Flynn, C. K.Open in Google Scholar•Hahn, J.Open in Google Scholar•Adams, J. B.Open in Google Scholar•Krajmalnik-Brown, R.Open in Google Scholar

While Autism Spectrum Disorder (ASD) is diagnosed through behavioral symptoms and psychometric evaluations, it has also been associated with distinct metabolomic patterns. A previous clinical trial of Microbiome Transplant Therapy (MTT) in children with ASD and gastrointestinal (GI) issues revealed significant differences in plasma metabolomics between children with ASD and their typically developing (TD) counterparts, which diminished after MTT. The objective of this study was to reanalyze the plasma and fecal samples using updated metabolomics libraries at Metabolon, and applying a comprehensive panel of statistical methods. This approach aimed to provide deeper insights into ASD-related metabolic differences and the impact of MTT. The reanalysis identified more statistically significant metabolites and highlighted specific metabolites whose relative peak intensities differed between the ASD and TD groups, as well as metabolites with significant changes in peak intensity post-MTT. Several plasma metabolites, including sarcosine, iminodiacetate, caproate, and caprylate, initially showed significant differences between the ASD and TD groups but shifted to resemble TD levels after MTT treatment. In fecal samples, p-cresol sulfate and sphingolipids emerged as metabolites with altered intensities following MTT treatment. Multivariate Fisher's Discriminant Analysis (FDA) with leave-one-out cross-validation revealed that a set of metabolites-including p-cresol sulfate, hydroxyproline, and caprylate-could robustly classify the ASD and TD cohorts pre-treatment. However, after treatment, the same FDA model could not distinguish the two groups, as the FDA scores became similar to those of the TD cohort. Our findings enhance the understanding of ASD-associated metabolic changes and highlight the potential of MTT to influence these profiles. This underscores the importance of reanalysis using updated databases and robust statistical methods for comparative analysis. Further studies with larger cohorts and placebo-controlled trials are necessary to validate these results and explore the biochemical pathways involved, paving the way for personalized treatment approaches.

Similar Papers

biorxiv
Fri Jul 18 2025
Co-adaptive training improves performance during fMRI decoded neurofeedback
A significant challenge for neurofeedback training research and related clinical applications, is participants difficulty in learning to induce specific brain patterns during training. Here, we address this issue in the context of fMRI-based decoded neurofeedback (DecNef). Arguably, discrepancies between the data used to construct the decoder and the data used for neurofeedback training, such as d...
Abdennour, N.
•
Margolles, P.
•
Soto, D.
biorxiv
Fri Jul 18 2025
Pak, a downstream gene of ecdysone signaling, determines left-right polarity in the Drosophila brain through neuronal cell chirality
Left-right (LR) asymmetry is a conserved characteristic of the brain in various animals and is related to its higher-order functions. The Drosophila brain has an LR asymmetric structure known as an asymmetrical body (AB). LR asymmetric neurite remodeling lateralizes the AB, and ecdysone signaling determines LR specificity. However, the mechanisms underlying LR specificity remain unclear. We found ...
Sakamura, S.
•
Suyama, K.
•
Tsujita, A.
•
Hsu, F.-y.
...•
Matsuno, K.
biorxiv
Fri Jul 18 2025
Regulation of sensorimotor serial learning in speech production by motor compensation rather than sensory error
Motor control is essential for organisms to efficiently interact with the environment by maintaining accurate action and adjusting to future changes. Speech production, one of the most complex motor behaviors, relies on a feedback control process to detect sensory errors and trigger updates in a feedforward control process that implements compensations. However, the specific contributions of these...
Lu, Y.
•
Tang, X.
•
Xiao, Z.
•
Xu, A.
...•
Tian, X.
biorxiv
Fri Jul 18 2025
WITHDRAWN: Robust maintenance of both stimulus location and amplitude in a working memory model based on dendritic bistability
The authors have withdrawn their manuscript because it was posted *prematurely* without the consent of all authors. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
Xu, J.
•
Cox, D.
•
Goldman, M. S.
•
Luck, S. J.
biorxiv
Fri Jul 18 2025
Translating Brain Anatomy and Disease from Mouse to Human in Latent Gene Expression Space
Background: The mouse model is the most widely used animal model in neuroscience, yet translating findings to humans suffers from the lack of formal models comparing the mouse and the human brain. Here, we devised a novel framework using mouse and human gene expression to build a quantitative common space and apply it to models of neurodegenerative disease. Methods: We trained a variational autoen...
Jaroszynski, C. Y. G.
•
Amer, M.
•
Beauchamp, A.
•
Lerch, J. P.
...•
Mars, R. B.
biorxiv
Fri Jul 18 2025
Transcriptomic analysis reveals new reparative mechanisms of SCF and GCSF - reduced neuropathology in aged APPPS1 mice
Alzheimers Disease, AD, is a neurodegenerative disease characterized by amyloid plaque deposition, tau hyperphosphorylation, neuroinflammation, and cognitive decline. Our previous studies showed that combined treatment with stem cell factor, SCF, and granulocyte colony stimulating factor, GCSF, reduces AD pathology in APPPS1 mice. This study aimed to explore the molecular mechanism underlying SCF ...
Addo, A.
•
Li, B.
•
Murikinati, S.
•
Gardner, R.
•
Zhao, L.-R.
biorxiv
Fri Jul 18 2025
Post-Decision Gaze Reflects Implicit Confidence in Decisions
Our decisions are naturally accompanied by a feeling of how confident we are in their correctness. While typically measured experimentally via self-reported judgments, decision confidence is typically expressed through implicit sensorimotor behavior. Combining VR-based probabilistic learning paradigms with computational modeling across one exploratory and two pre-registered experiments (total N = ...
Stern, Y.
•
Netzer, O.
•
Koren, D.
•
Zvilichovsky, Y.
...•
Salomon, R.
biorxiv
Fri Jul 18 2025
The relationship between sleep and cognitive performance on tests of pattern separation
Study objectives: Sleep disturbances are considered both a risk factor and symptom of dementia. The present research aimed to identify cognitive tests in which performance is associated with objective sleep quality or quantity, focusing on cognitive tests designed to evaluate the earliest cognitive changes in dementia. Methods: We recruited younger and older adults and remotely monitored their sle...
Roenningen, A. E.
•
Gill, D.
•
Kent, B. A.
biorxiv
Fri Jul 18 2025
Mapping the microRNA-mediated crosstalk between insulin resistance and Alzheimers disease : a computational genomic insight
Insulin resistance (IR) and Alzheimers disease (AD) share overlapping molecular mechanisms, but the precise link between these conditions remains unclear. MicroRNAs, as post-transcriptional regulators of gene expression, may mediate this connection by targeting genes involved in both pathways. In this study, we employed a multi-step bioinformatics approach to identify microRNAs that simultaneously...
Ahmed, T. F.
•
Ahmed, A.
•
Haque, Z.
•
Azmi, M. B.
...•
Hanif, F.