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Fructose

Fructose: explore 3 source-linked works published from 2026 to 2026, with original documents and citations.

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Does high fructose consumption trigger microglia activation and neuroinflammation? A systematic review.

This systematic review evaluated the effects of fructose intake on neuroinflammatory markers in rodent models. The search terms Fructose AND neuroinflammation OR Neurodegeneration OR chemokines OR interleukins OR microglia OR behaviour OR memory OR cognition were used in Google Scholar, Scopus and Web of Science. Thirteen animal studies investigating fructose-induced neuroinflammation that matched the eligibility criteria were included in the study. Across the studies, 16 inflammatory markers were identified and significantly altered following exposure to fructose. The findings consistently demonstrated elevated expression of pro-inflammatory cytokines, TNF-α, IL-6, and IL-1β, following fructose administration. Fructose consumption also dysregulated MCP-1, fractalkine, and CX3CR1 levels, thereby promoting inflammatory signalling and microglial activation. Furthermore, fructose exposure significantly increased IBA-1 and CD11b, indicating sustained neuroimmune activation. Alterations in important inflammatory pathways involving TLR4, NLRP3, NF-κB, MyD88, iNOS, and cyclooxygenases (COX-1 and COX-2) were also observed. In contrast, expression of the anti-inflammatory regulator peroxisome proliferator-activated receptor gamma (PPARγ) was reduced after fructose treatment. Overall, the findings suggest that chronic fructose consumption induces neuroinflammation through multiple inflammatory and immune-related mechanisms in the brain. These effects appear to be dose- and duration-dependent and may contribute significantly to neurodegeneration and cognitive impairment.

Microglia↗

Efficacy and safety of add-on topiramate vs. metformin on cardiometabolic profile in patients of schizophrenia on atypical antipsychotics with metabolic syndrome: an active-controlled, rater-blinded, parallel-design randomized controlled trial.

BACKGROUND: Metabolic syndrome is common among patients with schizophrenia, but current treatment options are limited, with metformin being the most studied. While placebo-controlled studies suggest potential benefits of topiramate, comparative efficacy and safety data are lacking. This study aimed to compare the efficacy and safety of topiramate versus metformin for treating metabolic syndrome and reducing cardiovascular risks among patients with schizophrenia. METHODS: A randomised, open-label, parallel-group clinical trial was conducted on 60 patients of schizophrenia with metabolic syndrome, randomised equally to receive either topiramate (50 mg/day) or metformin (1000 mg/day) for eight weeks. Primary outcome was cardiovascular risk score (QRISK3), and secondary outcomes were LDL∶HDL ratio, insulin resistance (HOMA-IR), positive and negative syndrome scale (PANSS), Montreal Cognitive Assessment (MoCA) and clinical global impression-Schizophrenia scale (CGI-SCH) scores. RESULTS: Over the study period, QRISK3 scores improved significantly in both groups [topiramate: MD = 0.61 (0.02 to 1.21), p = 0.04; metformin: MD = 0.45 (0.07 to 0.83), p = 0.02], with no significant between-group difference in unadjusted analysis (p = 0.648). However, ANCOVA adjusting for baseline QRISK3 revealed a significantly greater improvement in the topiramate group (β = -0.324, p = 0.043). Metformin showed significant within-group improvements in LDL: HDL ratio and HOMA-IR; however, ANCOVA adjusting for baseline HOMA-IR showed the between-group difference remained non-significant (β = -1.209, p = 0.078). Both groups showed significant improvements in PANSS and CGI-SCH scores, with no significant between-group differences in MoCA scores. A moderate correlation between the QRISK3 change, the PANSS change, and the CGI-SCH-I scores was observed in the topiramate group and the total population. Regression analysis identified PANSS change as a predictor of QRISK3 improvement. CONCLUSION: Topiramate demonstrated comparable, and on adjusted analysis superior, cardiovascular risk reduction compared to metformin, supporting its use as a viable alternative in the management of metabolic syndrome in patients with schizophrenia on atypical antipsychotics, particularly where metformin is contraindicated.

Humans↗

Fructophilic lactic acid bacteria as a window into multi-scale convergent evolution.

Fructophilic lactic acid bacteria (FLAB) are a group of lactic acid bacteria with unique growth characteristics, that is, poor growth on glucose. Their growth is enhanced in the presence of fructose or external electron acceptors. These organisms inhabit fructose-rich environments such as flowers, fruits, and pollinating insects, particularly honey bees. Apilactobacillus spp. and Fructobacillus spp. are representatives of FLAB, although they belong to phylogenetically distant clades. These organisms commonly possess markedly small genomes with a low number of coding DNA sequences. Furthermore, their genomes are characterized by a markedly reduced number of genes involved in carbohydrate transport and metabolism. Genome reduction in FLAB reflects convergent adaptation to fructose-rich environments rather than general genome streamlining. The two distinct FLAB genera, Fructobacillus and Apilactobacillus, independently lost more than 100 genes in statistically similar orders. In contrast, genes involved in carbohydrate and amino acid metabolism exhibited reversed orders of loss between the two genera. Furthermore, FLAB genomes lack an intact bifunctional alcohol/aldehyde dehydrogenase gene (adhE), which causes their poor growth on glucose. A comparative genomic study suggested the evolutionary process underlying adhE gene decay during adaptation to the fructose-rich environments, including pollinating insects. In conclusion, FLAB represent a unique example of habitat-driven convergent reductive evolution that can be investigated across multiple biological scales - from individual genes to whole genomes - in the diverse LAB group with a wide range of habitats, and partially share the fructophilic evolution with eukaryotic yeasts found in fructose-rich habitats.

Fructose↗
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