搜索结果：accelerates

β-cypermethrin (β-CY) is a widely used pyrethroid insecticide, yet the regulatory mechanisms that determine microbial degradation efficiency remain unclear. Here, we examined the role of the global nutrient-responsive regulator CodY in β-CY degradation by Bacillus cereus GW-01 using a wild-type strain, an in-frame codY deletion mutant, and a complemented strain. Loss of codY shortened the growth lag phase under β-CY stress and accelerated β-CY removal across 50-200 mg/L, reducing the apparent half-life from 3.61 to 12.62 d in the wild type to 2.42-9.61 d in ΔcodY. Complementation largely restored the wild-type phenotype, confirming CodY as a negative regulator of β-CY dissipation. Transcriptomic and physiological analyses showed that ΔcodY reallocated cellular functions toward branched-chain amino acid metabolism, transport, redox adjustment, envelope remodeling, adhesion, and biofilm formation. Consistently, the mutant exhibited higher cell-surface hydrophobicity, stronger auto-aggregation, enhanced biofilm formation, increased superoxide dismutase (SOD) activity, and lower lipid peroxidation. In soil microcosms, ΔcodY also outperformed the wild type in both non-sterilized and sterilized soils, shortening β-CY half-lives by 13.5% and 22.8%, respectively. Community profiling further showed that ΔcodY altered bacterial and fungal succession during remediation, with stronger early selection, later bacterial richness recovery, and a more modular co-occurrence network. These results show that CodY restricts β-CY degradation by constraining both catabolic readiness and surface-associated stress adaptation. Targeting global regulatory nodes may therefore improve microbial remediation of hydrophobic pesticide residues in soil.

Diabetes accelerates atherosclerosis progression by disrupting multiple metabolic pathways. However, the role and mechanisms of lactate-a glycolytic byproduct significantly elevated in diabetic patients-in atherosclerosis remain poorly understood. We hypothesized that lactate promotes atherosclerosis by regulating macrophage foam cell formation through histone lactylation. We evaluated the association between lactate levels, lipid metabolism disorders, and atherosclerotic progression using clinical samples and mouse models. The thoracic aortas of atherosclerotic mice were subjected to ex vivo culture to investigate the impact of lactate on the microenvironment within atherosclerotic plaques. Foam cell models were established using human and murine macrophages, and intracellular lipid accumulation, inflammatory responses, and apoptosis were assessed following lactate treatment. RNA sequencing was performed to dissect the molecular mechanisms underlying lactate-induced foam cell formation. Results demonstrated that lactate promoted foam cell formation and contributed to atherosclerotic progression by enhancing intracellular lipid accumulation, pro-inflammatory cytokine secretion, and apoptosis in macrophages. RNA-seq analysis revealed that lactate significantly modulated pathways related to atherosclerosis and lipid metabolism, specifically inhibiting cholesterol efflux pathways during foam cell formation. Lactate increased H3K18la enrichment at the promoters of cholesterol efflux genes, accompanied by reduced expression of ABCA1, ABCG1, and SR-B1 and enhanced lipid accumulation. Notably, magnesium ions attenuated these lactate-associated effects and reduced intracellular lactate accumulation in macrophages. Lactate contributes to atherosclerosis progression by enhancing foam cell formation and histone lactylation in macrophages, an effect mitigated by Mg2+. These findings identify lactate as a potential contributor to atherosclerosis progression and provide mechanistic insights into lactate-associated metabolic regulation in macrophages.

Simultaneously optimizing electronic structure and oxygen-bubble release kinetics remains a key yet challenging issue for seawater oxygen evolution reaction (OER). Herein, we report a sea-urchin-like NH2-MIL-88B(Fe) metal-organic framework@NiFe-layered double hydroxide (NH2-MIL-88B(Fe)@NiFe-LDH) nano-heterojunction electrocatalyst that integrates an intrinsic built-in electric field with superhydrophilic/superaerophobic surface characteristics, thereby enhancing intrinsic catalytic activity and accelerating bubble detachment. In situ Raman spectroscopy reveals that heterojunction-induced interfacial charge transfer accelerates surface reconstruction, leading to the rapid generation of highly active NiOOH species. Benefiting from these synergistic effects, the catalyst achieves current densities of 100 mA cm-2 at low overpotentials of 259 ± 5 mV, 278 ± 2 mV, and 291 ± 4 mV in alkaline, alkaline simulated seawater, and alkaline natural seawater electrolytes, respectively, while maintaining excellent long-term stability. Furthermore, an anion-exchange membrane water electrolyzer (AEMWE) employing this catalyst as the anode operates stably at 500 mA cm-2 for 360 h in seawater, demonstrating its promising potential for practical seawater electrolysis. This work establishes a synergistic design paradigm combining electronic modulation and bubble-repellent nanoarchitectures for practical seawater electrolysis.

The widespread discharge of antibiotic residues into natural water environment have become a new water pollution problem, posing significant risks to aquatic ecosystems and human health. Herein, we report the utilization of a Z-scheme MIL-88@CuS nanocomposite that functions as a synergistic photocatalysis-Fenton-like system for the degradation of tetracycline antibiotics (TC). Mechanistic investigations reveal that the built-in electric field and Z-scheme electron transfer channel in MIL-88@CuS greatly facilitates charge separation and accelerates electron transfer to the CuS surface, thus boosting Cu(II)/Cu(I) circulation and producing more active hydroxyl radical (·OH) for TC oxidation degradation. As a result, the as-prepared MIL-88@CuS exhibits excellent photocatalytic TC degradation activity with the removal efficiency of 93% in 30 min under visible-light irradiation, much higher than that of simple MIL-88 or CuS samples. This work may provide an efficient and low-cost strategy for the remediation of antibiotic-contaminated water.

To evaluate dynamic associations of a comprehensive healthy lifestyle and related metabolic signatures with the progression trajectory of type 2 diabetes mellitus (T2DM). From the UK Biobank cohort, we identified 305,349 participants without diabetes or diabetes-related complications, 152,901 of whom had available metabolite data. A healthy lifestyle score (HLS) was constructed using eight factors. Elastic net regression models were used to identify lifestyle-related metabolomic signatures. Multistate models were used to evaluate the dynamic associations of HLS and related metabolomic signatures with the incidence and progression of T2DM. Accelerated failure time models assessed whether HLS and related metabolomic signatures were associated with relative time delays in T2DM progression. During a median follow-up of 13.84 years, 7998 participants developed incident T2DM. We identified 139 metabolites representing healthy lifestyles. HLS and related metabolomic signatures were inversely associated with the risk of T2DM transitions. The HRs per SD increase of lifestyle-related metabolites were 0.96, 0.89, 0.95, and 0.87 for transitions from non-T2DM to incident T2DM, to death, from incident T2DM to complications, and to death. HLS and related metabolomic signatures were both significantly associated with delays in transitions from non-T2DM to incident T2DM, to death, and from T2DM to complications, to death, with prolonged onset time ranging from 0.22 to 1.75 years for HLS and 0.24 to 0.74 years for metabolomic signatures, respectively. The findings highlight the significance of adherence to a healthy lifestyle in preventing the onset and progression of T2DM from behaviors and metabolomics perspectives.

This study examines whether residential contexts account for Black-White disparities in epigenetic age acceleration (EAA), a key biomarker of premature aging. Relevant hypotheses are tested by merging survey, biomarker, and contextual data from non-Hispanic Black and White older-adult participants of the Health and Retirement Study who provided venous blood samples in 2016 (n = 3187; mean age = 69). Using multigroup structural equation modeling techniques, we decompose direct and indirect paths between a latent variable of EAA-comprised of GrimAge, PhenoAge, and DunedinPoAm38 clocks-and five features of residential contexts: racial clustering of residents, air pollution, greenspace, household incomes, and perceived disorder. We find that White respondents who lived in areas with a high clustering of other White residents in 2010 exhibit lower EAA in 2016, relative to White peers who lived in areas with fewer White residents. Higher household incomes in predominantly White areas account for around 25% of this association. With one minor exception, we find no significant paths between residential contexts and EAA among Black participants. These findings are also robust to numerous control measures and sensitivity analyses. Our study highlights concentrated privilege in predominantly White areas as potential drivers of Black-White health and aging disparities. We discuss the broader implications of our study and outline several avenues for future research that could advance our findings.

Sports-related traumatic brain injury (TBI) remains significantly underdiagnosed, with up to 50% of mild TBI cases in sport going undetected. While finite element (FE) simulations can predict brain deformation from head impacts, their computational cost limits clinical applicability for on-field assessments. This study shows a proof-of-principle in using a personalised machine learning framework capable of rapidly predicting regional brain strain simulations over time from wearable sensor kinematics, requiring as few as 150 head acceleration events (HAE) per athlete for training. Subject-specific anisotropic, viscoelastic FE brain models were constructed from T1-weighted and diffusion MRI for ten high school rugby players. Head kinematics were recorded via instrumented mouthguards and used to simulate the FE brain models. The resulting brain strains were parcellated to two commonly used atlases, including the Desikan-Killiany (supplemented with additional structures for whole-brain coverage, totalling 98 regions) and Automated Anatomical Labelling (116 regions) atlases, with the approach readily adaptable to other atlas schemes. Subject-specific multi-output Random Forest regression models were trained on 150 HAEs for every athlete using 70 time-series-extracted kinematic features (using the tsfresh python package) to predict time-dependent parcellated strain profiles. The ML models achieved an R2 from 75% to 87% and an average RMSE from 0.02 to 0.04 between target and predicted regional strains, with low inter-athlete variability. This framework captures the location, magnitude, and temporal behaviour of regional brain strain simulations, enabling rapid estimation directly from wearable devices and potentially enabling personalised, real-time concussion monitoring in sport.

My presentation uses data linkage to build data on Taiwan indigenous peoples (TIPs) as an example. TIPs used to be invisible and marginalized in Taiwan. In recent years, TIPs not only become very visible in Taiwan, but are also known globally. The most important contribution that helps TIPs become visible and are empowered in the real world is successfully building a number of big open data sets (see TIPD at https://osf.io/e4rvz/), based on open science, open data, data science, and scientific computing. Central to the processes of building open data are data linkage, including deterministic and probabilistic, that integrate Taiwan household registers and other administrative data from 2007 to 2024. Using data linkage, I have successfully built longitudinally linked register big data of population dynamics, with individual-level spatial information (point) and temporal information (monthly) being integrated in the linked data. In my presentation, I will demonstrate data linkage in building big complexed liked data (e.g., longitudinal and genealogy data), with a particular emphasis on the role of fine-tuning computing infrastructure (e.g., accelerating CPUs, DRAM, data transfer buses between CPUs-DRAM and between CPUs-PCIe lanes) to accelerate computing speed while conducting massive data linkage. In addition, I will demonstrate an automated geocoding method that allows us to parse spatial information from Google Map quickly and how legal and ethical issues are resolved. For reference, see https://link.springer.com/article/10.1007/s43545-025-01049-1.

This study systematically investigated the effects of superheated steam (SS) on lipid oxidation and volatile compound development in buckwheat during accelerated storage. SS treatment at 150 °C, 170 °C, and 190 °C significantly reduced lipase activity by 97.05-97.73% and lipoxygenase activity by 75.21-80.77%, while completely inactivating peroxidase in buckwheat. During accelerated storage, compared with untreated buckwheat, SS treatment initially increased and subsequently decreased the peroxide value, while inhibiting the accumulation of free fatty acids. Screening of key volatiles and lipids combined with machine learning analysis, revealed that SS treatment inhibited the hydrolysis and enzymatic oxidation of triacylglycerol, diacylglycerol, and phosphatidylcholine during accelerated storage. By contrast, SS treatment increased the autoxidation of these lipids under the same conditions. Moreover, 2-hydroxy-benzaldehyde and hexanal were identified as key secondary products of lipid enzymatic oxidation and autoxidation during accelerated storage.

Time-series prediction based on historical data is essential in numerous scientific fields, such as weather prediction and financial markets analysis. However, obtaining strong predictive accuracy together with high computational efficiency remains challenging. To address this challenge, we propose a brain-inspired neural network-based echo state network (BINN-ESN). It uses a modified continuous coupled neural network (MCCNN) as the neural model, which is inspired by the mammalian visual cortex. Our results indicate a system-dependent trade-off: While deep learning baselines generally achieve stronger single-step accuracy, BINN-ESN shows stronger long-term predictive stability on most evaluated systems and requires substantially less total computation than the GPU-accelerated long short-term memory (LSTM) baseline in long-term experiments. Our code is available at https://github.com/Jizhao-Liu/code-for-BINN-ESN.

Prostate cancer (PCa) is a leading malignancy in men, yet the roles of many candidate regulators remain unclear. Neuroblastoma breakpoint family member 1 (NBPF1) has been implicated as a tumor suppressor in other cancers; however, its function and clinical relevance in PCa remain undefined. NBPF1 expression was examined in tissue microarrays (TMAs) comprising 77 PCa tumors and 73 normal prostate tissues using immunohistochemistry, and its correlation with clinicopathological features and outcomes was assessed. NBPF1 gain- and loss-of-function models were established in PCa cell lines (LNCaP, DU145, PC3, 22RV1) and compared with RWPE-1 cells. Proliferation (CCK-8, EdU, colony formation), migration/invasion (wound healing, Transwell), and protein expression (qRT-PCR, Western blot) were assessed. In vivo oncogenic effects were evaluated using PC3 xenografts (n = 5 per group). RNA-seq of NBPF1-silenced PC3 cells, as well as KEGG analysis, was used to identify downstream pathways. NBPF1 was markedly downregulated in PCa compared with normal prostate, and low expression was associated with adverse features (e.g., higher Gleason grade) and poorer prognosis. NBPF1 overexpression suppressed proliferation, migration, and invasion, whereas NBPF1 knockdown had the opposite effects. In mice, NBPF1 loss accelerated tumor growth. Transcriptomic profiling implicated the PI3K/AKT signaling pathway as a key downstream pathway; concordantly, NBPF1 loss increased p-AKT and elevated MMP2/MMP9 expression, while NBPF1 overexpression reduced pathway activation and protease expression. NBPF1 functions as a tumor suppressor in PCa, inhibiting progression at least partly through modulation of the PI3K/AKT pathway. NBPF1 may serve as a prognostic biomarker and a potential therapeutic target in prostate cancer.

Atmospheric deposition of sulfate-rich particles derived from gypsum mining and industrial processing can significantly alter soil solution chemistry in tropical environments. This study aimed to evaluate the effects of continuous sulfate deposition on soil solution chemical speciation along the soil profile in areas influenced by a gypsum dust plume. The Grajaú gypsum production hub has maintained structured industrial activity for at least 20 years, with accelerated growth occurring between 2005 and 2015. Soil samples were collected across distinct landscape units and depths (0.0-0.2, 0.4-0.6, and 1.0-1.2 m), and soil solution chemistry was modeled using Visual MINTEQ to quantify the distribution of major ionic species. Principal component analysis (PCA) was applied to identify the dominant geochemical gradients associated with ion mobility. The results revealed a marked increase in sulfate species, particularly SO42- and AlSO4+, especially in plume-affected areas. Elevated sulfate availability was associated with the downward co-mobility of Ca2+ and Mg2+, indicating vertical redistribution driven by water fluxes. PCA identified sulfate as the primary variable governing the organization of soil solution chemistry along the soil profile. Overall, these findings demonstrate that continuous atmospheric sulfate deposition from industrial activities can induce processes analogous to those observed in soils amended with high rates of agricultural gypsum, with important implications for nutrient dynamics, aluminum availability, and the environmental quality of tropical soils.

To investigate the sources of variability in Centiloid (CL) calculations, particularly the influence of image reconstruction and reference region selection, and to examine the relationship between baseline CL scores, visual interpretation and subsequent disease progression. 162 aMCI patients who underwent amyloid PET at a single center were retrospectively analyzed. Visual assessment was performed by two nuclear medicine physicians and Centiloid scoring was determined using syngo.MI Neurology Cortical Analysis, using different reference regions (RR) and image reconstruction settings. The CL values were compared against visual interpretation, using a ROC analysis. The value of CL in predicting the onset of Alzheimer's dementia was assessed. The use of the whole cerebellum as RR provided the most robust and consistent CL values across reconstruction methods. The RR was critical in the case of flutemetamol, as CL varied in more than 20 units between pons and whole cerebellum. Visual classifications and CL values showed strong concordance (area under the ROC curve: 0.9786) and the CL cut-off value that maximized agreement with visual reading was 28 CL. During follow-up, 49% of patients progressed to AD dementia and CL-based amyloid positivity was a significant predictor of progression. Standardized CL quantification using the whole cerebellum as RR enhances the reliability of amyloid PET interpretation across tracers and reconstruction settings. CL values strongly correlate with visual assessment and are predictive of clinical progression. These findings suggest the potential utility of CL quantification in both clinical and research settings.

Spending on cancer medicines has increased rapidly worldwide, driven by the introduction of immunotherapy and targeted therapy. Australia exemplifies this trend, with cancer medicines representing one of the largest and fastest-growing areas of expenditure for Australia's public medicines funder, the Pharmaceutical Benefits Scheme. While this growth reflects therapeutic innovation and expanded clinical use, it has intensified concerns around the real-world safety, effectiveness, and value of novel therapies once adopted into routine care. Randomised clinical trials remain essential for regulatory approval but often provide limited insight into outcomes in broader, more heterogeneous populations, particularly as many therapies enter practice via accelerated pathways based on surrogate endpoints. Population-based cancer registries offer an important resource for postmarket surveillance when linked with national administrative datasets such as dispensing and hospitalisations records. However, limitations in registries' timeliness, disease stage ascertainment, biomarker and genomic data capture, and information on recurrence and progression constrain their current utility. This perspective examines the Australian population-based cancer registry landscape, highlighting its strengths, untapped potential, and critical gaps. We outline priority enhancements required to realise a robust, whole-of-population cancer medicine surveillance system that can inform clinical practice, policy, and sustainable health care decision making.

Objectives: The interaction of mouthwashes with orthodontic elastomeric materials may alter their mechanical properties. The main purpose of this study was to evaluate the impact of 0.05% sodium fluoride Oral-B PRO-Expert Multi Protection and fluoride-free Listerine Advanced with Tartar Protection mouthwashes on the force decay behavior of memory elastomeric chains. Materials and Methods: In this in vitro study, 90 pieces of closed gray memory elastomeric chains were randomly allocated to three distinct groups (n=30): control, sodium fluoride, and Listerine. The control samples remained fully submerged in artificial saliva over the course of the experiment.&#xa0;Test samples were placed daily for 1 minute in either sodium fluoride or Listerine mouthwash, then in a solution consisting of equal parts of mouthwash and artificial saliva for 30 minutes, followed by a thorough rinse with distilled water, and then placed back in the artificial saliva. Tensile tests were conducted at various time points (baseline, 1 hour, and 1, 7, and 28 days) (n=6). Data were analyzed by one-way and two-way ANOVA, and Tukey's post-hoc test (alpha=0.05). Results: All groups exhibited a continuous force decay over time (P<0.001). The experimental groups demonstrated significantly greater force decay compared to the control group (P<0.001). The sodium fluoride group exhibited significantly greater force decay compared to the Listerine group at all measured time points (P<0.001) except on day 28 (P=0.970). Conclusion: Both mouthwashes accelerated the force degradation of memory elastomeric chains, with sodium fluoride causing a greater reduction except on day 28.

Small interfering RNA (siRNA) therapeutics has huge potential for treating many diseases, including those incurable or undruggable by small molecules or antibodies, by harnessing RNA interference (RNAi) to achieve specific silencing of disease-associated genes. To date, all approved siRNA drugs are limited to liver targeting, largely due to delivery challenges. The two siRNA delivery platforms used clinically, namely lipid nanoparticles (LNPs) and N-acetylgalactosamine (GalNAc)-conjugation, are optimized for liver accumulation, restricting broader tissue targeting. Peptides offer a versatile approach to enhance siRNA delivery efficiency by functionalizing nanoparticles as surface ligands to enable specific cell targeting, facilitating cellular uptake and promoting endosomal escape. Alternatively, they can be used as standalone delivery system through complexation or covalent conjugation with siRNA while still fulfilling these roles. Over the years, the development of peptide-based siRNA delivery system has evolved from naturally occurring sequences, rational design, to phage display screening, with emerging machine-learning (ML) approaches expected to accelerate the discovery of novel peptides. This special report highlights the development of peptide-based delivery systems and discusses future directions toward next-generation siRNA delivery platforms to facilitate their successful clinical translation.

Emergency physicians (EPs) are acquiring ever-increasing expertise in cardiac point-of-care ultrasound (POCUS). We compiled this case series to demonstrate current practice by EPs diagnosing infective endocarditis (IE) using POCUS. This case series outlines 19 cases of IE diagnosed in the Emergency Department (ED) by Australasian EPs. It is a retrospective review of cases occurring between 2013 and 2022. Our cohort's characteristics: 84% male, with a mean age of 42, and 79% were&#xa0;people who inject drugs (PWID) intravenously. Left heart valves were affected in 68% of patients, with Streptococcus viridans species (37%) and methicillin-sensitive Staphylococcus aureus (MSSA) (53%) being the commonest pathogens identified on blood culture. Mean duration of acute hospitalisation was 30&#x2009;days, and the mortality rate was 21%. Echocardiographic diagnosis of IE by EPs is occurring with increasing frequency, and we expect this trend to accelerate further as skillsets and machine image quality improve. Early diagnosis of IE in the ED has high potential to reduce morbidity and mortality in this vulnerable patient group. Further research is needed to determine the sensitivity and specificity of EP-performed cardiac POCUS for identification of vegetations.

Microplastics (MPs) pollution represents a pressing global environmental challenge, with studies increasingly highlighting their associated health risks. Although MPs have been detected in human lung tissues, the majority of existing research has concentrated on their physicochemical characteristics, environmental distribution and pulmonary health risks. Consequently, our understanding of the specific biological targets and effective intervention strategies against these risks remains limited. To identify therapeutic targets, we screened for pulmonary differential metabolites between normal mice and mice exposed to airborne MPs, derived from dust fall of 10 cities in China. Proteomics results showed adenosine 5'-monophosphate-activated protein kinase (AMPK) signalling pathway was one of critical targets. Through molecular docking and molecular dynamics stimulation, honokiol (HNK) was selected as therapeutic drug to regulate AMPK. In vitro results demonstrated that HNK significantly ameliorated autophagy inhibition in RAW264.7 cell, and alleviated mitochondrial dysfunction in BEAS-2B cell. Drug mechanism research revealed that HNK activated autophagy via the AMPK/mammalian target of rapamycin (AMPK/mTOR) pathway, and promoted mitophagy through the AMPK/E3 ubiquitin protein ligase parkin (AMPK/Parkin) pathway, thereby restoring mitochondrial function. Further targeted energy metabolomics analysis illustrated that HNK regulated the guanosine triphosphate to guanosine diphosphate (GTP/GDP) ratio, adenosine triphosphate &#x200c;(ATP) production, and nucleotide metabolism. These functions accelerated the restoration of autophagic flux, mitophagy reactivation and DNA repair. In conclusion, HNK effectively alleviates airborne MPs-induced autophagy inhibition, mitochondrial dysfunction and energy metabolism disorder via AMPK signalling, providing a promising intervention strategy for pulmonary injury caused by airborne MPs.

This study aims to investigate whether arthroscopy-assisted minimally invasive percutaneous plate osteosynthesis (MIPPO) provided more favorable early functional recovery and reduced surgical trauma compared to traditional open reduction and internal fixation (ORIF). A total of 84 patients with Schatzker type I-IV tibial plateau fractures treated between January 2021 and January 2024 were retrospectively analyzed. The MIPPO group (n = 41) underwent arthroscopy-assisted reduction plus MIPPO, while the ORIF group (n = 43) received conventional ORIF. Allocation was chronological, with ORIF predominant in the first two years and MIPPO in the latter two years. Operative parameters, postoperative drainage, radiographic outcomes (Rasmussen radiological score), functional recovery (Hospital for Special Surgery [HSS] score), range of motion (ROM), fracture healing time, hospital stay, and complications were compared. Of a total of 84 patients, 28 were male and 56 were female of 49.4 &#xb1; 9.0 (range, 27 to 69) years. The arthroscopy-assisted MIPPO group had significantly longer operative time (96.0 &#xb1; 18.2 vs. 84.0 &#xb1; 13.9 min, p = 0.001) but shorter incision length (3.9 &#xb1; 0.7 vs. 6.2 &#xb1; 0.9 cm, p < 0.001), less intraoperative blood loss (56.5 &#xb1; 9.6 vs. 72.6 &#xb1; 10.1 mL, p < 0.001), and lower postoperative drainage volume (47.1 &#xb1; 7.5 vs. 59.0 &#xb1; 7.0 mL, p < 0.001) than the ORIF group. The arthroscopy-assisted MIPPO group also achieved higher Rasmussen radiological scores (15.4 &#xb1; 1.4 vs. 14.0 &#xb1; 1.6, p < 0.001) and better HSS scores at one, three, and six months postoperatively (all p < 0.001). At six months postoperatively, the MIPPO group also demonstrated significantly improved knee ROM (118.5&#xb0; &#xb1; 8.2&#xb0; vs. 107.3&#xb0; &#xb1; 9.1&#xb0;, p < 0.001), a difference exceeding the clinically meaningful threshold for activities of daily living. However, no significant differences were found in hospital stay (p = 0.051), fracture healing time (11.4 &#xb1; 1.3 vs. 11.1 &#xb1; 1.3 weeks, p = 0.340), or the excellent-and-good rate of HSS score at final follow-up (95.1% vs. 97.7%, p = 0.746). Complication rates were similar between the groups (p = 1.000). For Schatzker type I-IV tibial plateau fractures, arthroscopy-assisted MIPPO provides more favorable early functional recovery and radiological reduction quality compared to conventional ORIF, with less surgical trauma and comparable early functional recovery and similar complication rates during follow-up. Although operative time is longer, this minimally invasive approach is a safe and effective option for managing these complex fractures. Its principal advantage is accelerated early recovery, particularly in knee ROM, enabling patients to reach clinically meaningful thresholds for activities of daily living sooner.