From Analysis:
Selective vulnerability of entorhinal cortex layer II neurons in AD
Why do entorhinal cortex layer II stellate neurons die first in AD? Their unique electrophysiological properties, grid cell function, and high metabolic demand may contribute, but the molecular basis of selective vulnerability is unknown.
These hypotheses emerged from the same multi-agent debate that produced this hypothesis.
Molecular Mechanism and Rationale
The perforant path represents one of the most metabolically demanding neuronal projections in the central nervous system, consisting of exceptionally long axons extending from layer II stellate neurons in the entorhinal cortex (EC) to granule cells in the hippocampal dentate gyrus. These axons can span distances exceeding 10 millimeters in humans, requiring robust mitochondrial networks and efficient ATP production to maintain synaptic transmission and axonal integrity.
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TUG tethering proteins bind and sequester GLUT4 glucose transporters intracellularly, and insulin stimulates TUG cleavage to translocate GLUT4 to the cell surface and increase glucose uptake. This effect of insulin is independent of phosphatidylinositol 3-kinase, and its physiological relevance remains uncertain. Here we show that this TUG cleavage pathway regulates both insulin-stimulated glucose uptake in muscle and organism-level energy expenditure. Using mice with muscle-specific Tug (Aspscr1)-knockout and muscle-specific constitutive TUG cleavage, we show that, after GLUT4 release, the TUG C-terminal cleavage product enters the nucleus, binds peroxisome proliferator-activated receptor (PPAR)γ and its coactivator PGC-1α and regulates gene expression to promote lipid oxidation and thermogenesis. This pathway acts in muscle and adipose cells to upregulate sarcolipin and uncoupling protein 1 (UCP1), respectively. The PPARγ2 Pro12Ala polymorphism, which reduces diabetes risk, enhances
Macroautophagy/autophagy is a lysosomal degradation system which plays a protective role against kidney injury. RUBCN/Rubicon (RUN domain and cysteine-rich domain containing, Beclin 1-interacting protein) inhibits the fusion of autophagosomes and lysosomes. However, its physiological role in kidney proximal tubular epithelial cells (PTECs) remains uncertain. In the current study, we analyzed the phenotype of newly generated PTEC-specific rubcn-deficient (KO) mice. Additionally, we investigated the role of RUBCN in lipid metabolism using isolated rubcn-deficient PTECs. Although KO mice exhibited sustained high autophagic flux in PTECs, they were not protected from acute ischemic kidney injury. Unexpectedly, KO mice exhibited hallmark features of metabolic syndrome accompanied by expanded lysosomes containing multi-layered phospholipids in PTECs. RUBCN deficiency in cultured PTECs promoted the mobilization of phospholipids from cellular membranes to lysosomes via enhanced autophagy. Trea
Cortical neurons are specified during embryonic development but often acquire their mature properties at relatively late stages of postnatal development. This delay in terminal differentiation is particularly prominent for fast-spiking parvalbumin-expressing (PV+) interneurons, which play critical roles in regulating the function of the cerebral cortex. We found that the maturation of PV+ interneurons is triggered by neuronal activity and mediated by the transcriptional cofactor peroxisome proliferator-activated receptor-gamma coactivator 1-alpha (PGC-1α). Developmental loss of PGC-1α prevents PV+ interneurons from acquiring unique structural, electrophysiological, synaptic, and metabolic features and disrupts their diversification into distinct subtypes. PGC-1α functions as a master regulator of the differentiation of PV+ interneurons by directly controlling gene expression through a transcriptional complex that includes ERRγ and Mef2c transcription factors. Our results uncover a mole
Diabetic peripheral neuropathy (DPN) is one of the most common chronic complications of diabetes mellitus, which affects various regions of the nervous system. Tang Bi formula (TBF) has been proven effective for DPN, while the underlying mechanism remains unclarified. This study aimed to clarifiy the neurprotective mechanism of TBF intervention in DPN through animal and cell models. UHPLC/QTOF-MS and network pharmacology analysis were utilized to identify the bioactive components and potential targets of TBF. DPN models were established in rats and Schwann cells to evaluate the therapeutic effects of TBF. In the DPN rats, body weight, fasting blood glucose, mechanical withdrawal threshold (MWT), paw withdrawal latency (PWL), sciatic motor nerve conduction velocity (MNCV), and sciatic nerve blood flow were measured. Pathological sections of the sciatic nerve (SN) were also examined. In vitro experiments, the Schwann cells (SCs) were cultured in a medium containing 30 mM glucose and trea
INTRODUCTION: Parkinson's disease (PD) is common neurodegenerative disease where oxidative stress and mitochondrial dysfunction play important roles in its progression. Tetramethylpyrazine nitrone (TBN), a potent free radical scavenger, has shown protective effects in various neurological conditions. However, the neuroprotective mechanisms of TBN in PD models remain unclear. OBJECTIVES: We aimed to investigate TBN's neuroprotective effects and mechanisms in PD models. METHODS: TBN's neuroprotection was initially measured in MPP+/MPTP-induced PD models. Subsequently, a luciferase reporter assay was used to detect peroxisome proliferator-activated receptor γ co-activator 1α (PGC-1α) promoter activity. Effects of TBN on antioxidant damage and the PGC-1α/Nuclear factor erythroid-2-related factor 2 (Nrf2) pathway were thoroughly investigated. RESULTS: In MPP+-induced cell model, TBN (30-300 μM) increased cell survival by 9.95 % (P < 0.05), 16.63 % (P < 0.001), and 24.09 % (P < 0.001), respe
Goose foie gras production requires force-feeding with high-energy feed, disrupting hepatic lipid homeostasis and causing excessive lipid accumulation. To investigate the formation mechanism, we collected liver samples from Landes geese at pre-force-feeding (D0), mid-force-feeding (D16), and terminal-force-feeding (D25) stages. Overfeeding shifted liver color from reddish-brown to yellow, significantly increasing size and weight. Histological analysis revealed pronounced lipid droplet accumulation in hepatocytes. Biochemical analysis indicated force-feeding groups (D16, D25) exhibited continuous and significant decreases in liver moisture, crude ash, and crude protein content compared to D0, while crude fat increased substantially. Integrated transcriptomic and lipidomic analyses identified 497 differentially expressed genes (DEGs) and 368 differential lipid molecules (DLMs) between D16 and D0, and 303 DEGs and 172 DLMs between D25 and D16. KEGG enrichment highlighted four pathways ass
BACKGROUND: Blueberry anthocyanin extract (BAE) is a natural antioxidant flavonoid found in blueberries that has the potential to alleviate oxidative stress-induced neurodegeneration. Previous studies have demonstrated the potential of BAE to mitigate arsenic-induced cognitive impairment; however, the underlying protective mechanisms remain elusive. PURPOSE: This study aimed to evaluate the effectiveness of BAE in reducing arsenic-induced cognitive impairment and explored whether BAE's neuroprotective effects are related to its antioxidant and mitochondrial protective effects. METHODS: Sixty male rats were exposed to sodium arsenite (NaAsO2, 10 mg/kg) with or without BAE (100 and 200 mg/kg) for 12 weeks. Spatial learning and memory were evaluated using the Morris water maze (MWM). Neuronal damage in rat hippocampi was evaluated using hematoxylin and eosin (H&E) staining, electron microscopy, and terminal deoxynucleotidyl transferase-mediated nick-end labelling (TUNEL) staining. Oxidati
BACKGROUND: Cardiac dysfunction continues to represent a major global health burden, significantly impacting both disease prevalence and survival rates across populations. Mitochondrial dysfunction is a severe pathological characteristic of heart failure. Altered energy metabolism is intimately linked to the advancement and outcome of heart failure, and regulating myocardial energy metabolism has become an attractive treatment strategy for managing heart failure. Jiming formula (JMF), different from traditional Chinese medicine commonly used for heart protection, has been suggested to be effective in treating heart failure in experiments and clinical practice. PURPOSE: This study integrated targeted metabolomics and transcriptomics to investigate the cardioprotective effects of JMF against myocardial infarction (MI) and the underlying molecular mechanism in mice. METHODS: We first prepared a UHPLC-QTRAP-MS/MS method for analyzing JMF components. The cardioprotective effects of JMF in M
Peroxisome proliferator-activated receptor gamma (PPAR-γ) is one of the ligand-activated transcription factors which regulates a number of central events and considered as a promising target for various neurodegenerative disease conditions. Numerous reports implicate that PPAR-γ agonists have shown neuroprotective effects by regulating genes transcription associated with the pathogenesis of neurodegeneration. In regards, this review critically appraises the recent knowledge of PPAR-γ receptors i
The peroxisome proliferator-activated receptor co-activator-1α (PGC1α) belongs to a family of transcriptional regulators, which act as co-activators for a number of transcription factors, including PPARs, NRFs, oestrogen receptors, etc. PGC1α has been implicated in the control of mitochondrial biogenesis, the regulation of the synthesis of ROS and inflammatory cytokines, as well as genes controlling metabolic processes. The levels of PGC1α have been shown to be altered in neurodegenerative disor
Microplastics (MPs) have emerged as hazardous substances, eliciting widespread concern regarding their potential toxicity. Although our previous research has indicated that polystyrene MPs (PS-MPs) might cause male reproductive toxicity in mammals, their precise effects on sperm motility parameters and acrosomal development remain uncertain. Herein, the effects on sperm motility of PS-MPs at varied particle sizes (0.5 μm, 4 μm and 10 μm) and the underlying mechanisms were examined. The results r
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the selective loss of dopaminergic neurons in the substantia nigra, resulting in dopamine depletion and impaired motor function. Growing evidence implicates mitochondrial dysfunction as a central driver of PD pathogenesis with many PD-associated genes and proteins localized are localized near mitochondria and they also have major functions in proper functioning of mitochondria. Among mitochondrial regulators, t
Alcohol consumption is associated with increased risk of breast cancer (BC), and the underlying mechanism is thought to be sex-hormone driven. In vitro and observational studies suggest a mechanism involving peroxisome proliferator-activated receptor gamma (PPARγ) in a complex with peroxisome proliferator-activated receptor gamma coactivator 1-α (PGC-1α) and interaction with aromatase (encoded by CYP19A1). Use of non-steroidal anti-inflammatory drugs (NSAID) may also affect circulating sex-hormo
Treatment of human immunodeficiency virus (HIV)-1 with thymidine-analogue nucleoside reverse-transcriptase inhibitors (tNRTIs) causes lipoatrophy, mitochondrial toxicity, and lower adipose tissue expression of peroxisome proliferator-activated receptor gamma (PPARgamma [PPARG gene]). Rosiglitazone (RSG), a PPARgamma agonist, improves congenital lipoatrophy but not HIV lipoatrophy. Serial fat biopsies were taken from HIV-infected, lipoatrophic men randomized to receive RSG or placebo for 48 weeks
Target: HCN1 (hyperpolarization-activated cyclic nucleotide-gated channel 1)
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Specific Weaknesses:
Chemical Matter Challenges:
| Event | Price | Change | Source | Time | |
|---|---|---|---|---|---|
| 📄 | New Evidence | $0.502 | ▲ 0.9% | evidence_batch_update | 2026-04-13 02:18 |
| 📄 | New Evidence | $0.498 | ▲ 2.8% | evidence_batch_update | 2026-04-13 02:18 |
| ⚖ | Recalibrated | $0.484 | ▼ 0.4% | 2026-04-12 10:15 | |
| ⚖ | Recalibrated | $0.486 | ▼ 1.3% | 2026-04-10 15:58 | |
| ⚖ | Recalibrated | $0.492 | ▲ 1.5% | 2026-04-10 14:28 | |
| ⚖ | Recalibrated | $0.485 | ▲ 2.3% | 2026-04-08 18:39 | |
| ⚖ | Recalibrated | $0.474 | ▲ 1.3% | 2026-04-06 04:04 | |
| ⚖ | Recalibrated | $0.468 | ▼ 0.7% | 2026-04-04 16:38 | |
| ⚖ | Recalibrated | $0.471 | ▼ 1.1% | 2026-04-04 16:02 | |
| 📄 | New Evidence | $0.477 | ▲ 1.4% | evidence_batch_update | 2026-04-04 09:08 |
| ⚖ | Recalibrated | $0.470 | ▼ 23.0% | 2026-04-03 23:46 | |
| 📄 | New Evidence | $0.610 | ▲ 1.1% | evidence_batch_update | 2026-04-03 01:06 |
| ⚖ | Recalibrated | $0.604 | ▲ 6.7% | market_dynamics | 2026-04-03 01:06 |
| 📄 | New Evidence | $0.566 | ▲ 2.7% | evidence_batch_update | 2026-04-03 01:06 |
| ⚖ | Recalibrated | $0.551 | ▲ 14.6% | market_dynamics | 2026-04-03 01:06 |
Molecular pathway showing key causal relationships underlying this hypothesis
graph TD
PPARGC1A["PPARGC1A"] -->|encodes| PGC1A_protein["PGC1A_protein"]
PPARGC1A_1["PPARGC1A"] -->|regulates| Perforant_Path_Presynapti["Perforant Path Presynaptic Terminal Protection Str"]
PPARGC1A_2["PPARGC1A"] -->|associated with| neurodegeneration["neurodegeneration"]
PPARGC1A_3["PPARGC1A"] -->|regulates| Tau_Propagation["Tau Propagation"]
PPARGC1A_4["PPARGC1A"] -->|participates in| PGC_1____mitochondrial_bi["PGC-1α / mitochondrial biogenesis"]
PPARGC1A_5["PPARGC1A"] -->|co discussed| SLC16A2["SLC16A2"]
PPARGC1A_6["PPARGC1A"] -->|co discussed| RELN["RELN"]
PPARGC1A_7["PPARGC1A"] -->|co discussed| MAP6["MAP6"]
PPARGC1A_8["PPARGC1A"] -->|co discussed| HCN1["HCN1"]
PPARGC1A_9["PPARGC1A"] -->|co discussed| MCU["MCU"]
PPARGC1A_10["PPARGC1A"] -->|co discussed| IDH2["IDH2"]
RELN_11["RELN"] -->|co discussed| PPARGC1A_12["PPARGC1A"]
HCN1_13["HCN1"] -->|co discussed| PPARGC1A_14["PPARGC1A"]
MCU_15["MCU"] -->|co discussed| PPARGC1A_16["PPARGC1A"]
IDH2_17["IDH2"] -->|co discussed| PPARGC1A_18["PPARGC1A"]
style PPARGC1A fill:#ce93d8,stroke:#333,color:#000
style PGC1A_protein fill:#4fc3f7,stroke:#333,color:#000
style PPARGC1A_1 fill:#ce93d8,stroke:#333,color:#000
style Perforant_Path_Presynapti fill:#4fc3f7,stroke:#333,color:#000
style PPARGC1A_2 fill:#ce93d8,stroke:#333,color:#000
style neurodegeneration fill:#ef5350,stroke:#333,color:#000
style PPARGC1A_3 fill:#ce93d8,stroke:#333,color:#000
style Tau_Propagation fill:#ffd54f,stroke:#333,color:#000
style PPARGC1A_4 fill:#ce93d8,stroke:#333,color:#000
style PGC_1____mitochondrial_bi fill:#81c784,stroke:#333,color:#000
style PPARGC1A_5 fill:#ce93d8,stroke:#333,color:#000
style SLC16A2 fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_6 fill:#ce93d8,stroke:#333,color:#000
style RELN fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_7 fill:#ce93d8,stroke:#333,color:#000
style MAP6 fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_8 fill:#ce93d8,stroke:#333,color:#000
style HCN1 fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_9 fill:#ce93d8,stroke:#333,color:#000
style MCU fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_10 fill:#ce93d8,stroke:#333,color:#000
style IDH2 fill:#ce93d8,stroke:#333,color:#000
style RELN_11 fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_12 fill:#ce93d8,stroke:#333,color:#000
style HCN1_13 fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_14 fill:#ce93d8,stroke:#333,color:#000
style MCU_15 fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_16 fill:#ce93d8,stroke:#333,color:#000
style IDH2_17 fill:#ce93d8,stroke:#333,color:#000
style PPARGC1A_18 fill:#ce93d8,stroke:#333,color:#000
neurodegeneration | 2026-04-01 | completed