ReviewFrontiers in nutrition2025
Natural compounds regulating fatty acid oxidation in the treatment of diabetic kidney disease.
Review in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Lactate induces renal lipid accumulation and aggravates renal fibrosis by inhibiting the PPARα signaling pathway and fatty acid oxidation.Renal failure · 2026Article
- Metabolic reprogramming in fibrosis-related diseases: underlying mechanisms and therapeutics.Molecular biomedicine · 2026Review
- Fatty Kidney: The Interplay of Lipids and Diabetic Kidney Disease.Biomedicines · 2026Review
- The translational potential of m6A RNA methylation in DKD: emerging biomarkers for early detection and targeted therapies.Frontiers in medicine · 2026Review
- Post-translational protein S-palmitoylation in renal tubular injury: mechanisms and therapeutic implications.Frontiers in cell and developmental biology · 2026Review
- Recalibrating cell fate: targeting the mitochondrial signaling hub with natural active compounds to inhibit regulated cell death in diabetic kidney disease.Frontiers in physiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic kidney disease (DKD) is one of the leading causes of end-stage renal disease worldwide, and lipid metabolism disorder is a key factor in accelerating its progression. Among them, the impaired fatty acid oxidation (FAO) function of renal tissue constitutes one of the core pathological links of lipid metabolism disorders. In DKD, impaired FAO function can directly lead to lipid accumulation, mitochondrial stress, and trigger an inflammatory cascade, thereby promoting the occurrence and development of glomerulosclerosis and renal tubular injury. However, the efficacy of current DKD treatment strategies is still limited. Natural compounds (such as polyphenols, phenolic acids, alkaloids, glycosides, and carotenoids) have shown potential in renal protection due to their multi-target and multi-pathway characteristics. Studies have shown that regulating the FAO process in the context of lipid metabolism disorders is a crucial mechanism by which natural compounds can exert anti-DKD effects. It is worth noting that peroxisome proliferator-activated receptors (PPARs) are core transcription factors that regulate FAO. Specifically, these active ingredients can upregulate the expression of their downstream target genes by activating the PPAR signaling pathway (especially PPARα), thereby improving FAO function, correcting abnormal lipid metabolism, and ultimately delaying the progression of renal pathological mechanisms such as inflammation and fibrosis. The above findings provide an essential scientific basis for the development of new, safe, and effective DKD therapeutic drugs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.