AbstractBackground: Autism spectrum disorder (ASD) research is fragmented across three non-communicating literatures: mitochondrial bioenergetics, redox biochemistry, and neuroinflammation. Each field identifies a distinct entry point into ASD pathophysiology without asking what precedes it. This structural isolation has produced robust but disconnected findings and a trail of heterogeneous clinical trials whose failure modes have not been mechanistically explained.Objective: We propose a five-link causal chain hypothesis — the Purinergic-Redox-Inflammasome (PRI) cascade — connecting chronic extracellular ATP (eATP) elevation through S-adenosylhomocysteine hydrolase (SAHH) inhibition, S-adenosylhomocysteine (SAH) accumulation, glutathione (GSH) depletion, and constitutive NLRP3 inflammasome activation to NMDA receptor dysfunction and behavioral phenotype in the CDR-active subtype of ASD. Each link has independent empirical support; the complete five-link sequence has never been tested as an integrated causal model in a single cohort.Methods: Systematic cross-field synthesis of 18+ anchor studies (cumulative n > 52,000) spanning GEO transcriptomics (GSE26415, GSE18123), SPARK Biobank genomic/phenotypic data (n > 50,000; searched for purinergic metabolomics but no published dataset found — see Limitations), KidsFirst (n = 6,951), and five meta-analyses. Evidence for each link was graded on a three-tier epistemic scale: (1) Demonstrated in human ASD data, (2) Mechanistically demonstrated in non-ASD systems, (3) Model-predicted. Every claim in this paper carries an explicit epistemic grade.Key findings — the five links: (1) Chronic eATP elevation in ASD: directly demonstrated by Naviaux et al. 2024 (n = 258; purine network connectivity reverses 17-fold in typical development, a reversal that fails to occur in ASD, across 50 biochemical pathways). MODEL-PREDICTEDThat this elevation is also detectable via SPARK Biobank purinergic metabolomics in a within-family probands-versus-siblings design; no published SPARK dataset of this kind currently exists (see Limitations). (2) eATP-derived adenosine inhibits SAHH, driving SAH accumulation: formally documented by Naviaux 2026; a convergent SAH-elevation finding from the ASD methylation literature could not be independently verified at preprint stage and is not cited as a distinct source (see Limitations) — the mechanistic case for this link rests on Naviaux 2026 alone. (3) SAH collapse of trans-sulfuration depletes GSH biosynthetically: GSH↓ 27% in the GSH-specific subset of Chen et al. 2021 (14 studies, n ≈ 1,207; SMD = −0.89, p < 0.0001) — distinct from that meta-analysis’s full cohort (87 studies, n = 9,109), which spans all oxidative-stress markers combined, not GSH alone. (4) ROS from GSH depletion drives constitutive NLRP3 activation: directly demonstrated in ASD-derived primary fibroblasts (Vallese et al. 2024). (5) MODEL-PREDICTED / PARTIALLY SUPPORTED Microglial NLRP3-driven IL-1β produces NMDA receptor dysfunction and E/I imbalance; repetitive behavior is reversed by memantine (NMDAR antagonist) or IL-1Ra in murine models (Cell Reports 2025). NOTE: The Cell Reports 2025 study documents increased surface GluN2A (not GluN2B internalization) and NMDA hyperfunction; reversal is by memantine/IL-1Ra, not MCC950. The general mechanism (NLRP3 → IL-1β → NMDA dysfunction → behavior, pharmacologically reversible at the NMDA or IL-1R1 node) is confirmed; the specific subunit directionality and MCC950 reversal are model-predicted, not confirmed by this source. Critical gap: no study has measured all five biomarkers simultaneously in the same cohort.Unique testable prediction: Purinergic neutralization (suramin or apyrase) should produce a temporally ordered normalization cascade: SAH↓ (Days 1–7) → GSH↑ (Days 7–21) → NLRP3↓ (Days 14–30) → behavioral improvement (Weeks 4–12). This temporal ordering cannot be generated by any single-field model and specifically identifies each broken link if the sequence deviates.Conclusion: SAHH is the unmeasured enzymatic bridge between the purinergic and redox literatures in ASD. Measuring SAHH activity in ASD-derived cells with concurrent eATP profiling is the foundational experiment needed to confirm or refute the PRI cascade. We provide explicit falsification criteria for each link and a minimum viable study design (N = 80–100 observational; N = 20 mechanistic intervention).Keywords: autism spectrum disorder, purinergic signaling, Cellular Danger Response, S-adenosylhomocysteine hydrolase, SAH/SAM ratio, trans-sulfuration, glutathione, NLRP3 inflammasome, NMDA receptor, GluN2B, mechanistic hypothesis, CDR-active subtype
joao magalhaes lima (Tue,) studied this question.