Mechanism Of Expansion Research Articles

Protocol for generating liver metastasis microtissues to decipher cellular interactions between metastatic intestinal cancer and liver tissue.

Cell competition is a quality control mechanism that promotes elimination of suboptimal cells relative to fitter neighbors. Cancer cells exploit these mechanisms for expansion, but the underlying molecular pathways remain elusive. Here, we present a protocol for generating matrix-free microtissues recapitulating cellular interactions between intestinal cancer and hepatocyte-like cells using microscopy or transcriptomics/proteomics. We describe steps for generating and differentiating liver progenitor organoids and microtissue formation. We then detail procedures for immunofluorescence staining, mounting microtissues, and sorting cells. For complete details on the use and execution of this protocol, please refer to Krotenberg Garcia etal.1.

Role of mitochondrial complex I genes in host plant expansion of Bactrocera tau (Tephritidae: Diptera) by CRISPR/Cas9 system.

Host expansion facilitates tephritid flies to expand their ranges. Unraveling the mechanisms of host expansion will help to efficiently control these pests. Our previous works showed mitochondrial complex I genes Ndufs1, Ndufs3, and Ndufa7 being upregulated during host expansion of Bactrocera tau (Walker), one of the highly hazardous species of tephritids. However, their roles in the host expansion of B. tau remain unknown. Here, using clustered regularly interspaced short palindromic repeats (CRISPR) / CRISPR-associated nuclease 9 (Cas9) editing system for the first time, a stable homozygous Ndufa7 strain (Btndufa7-/-), heterozygous Ndufs1 (Btndufs1+/-), and Ndufs3 strains (Btndufs3+/-) were obtained from F3 generation of B. tau, after gene knockout. Reduced sizes of larvae and pupae of the Ndufa7 knockout strain were first observed. Notably, the mean values of fitness estimation (pupal numbers, single-pupal weight and emergence rate) and Ndufa7 gene expression in the Ndufa7 knockout strain were slightly reduced on 2 native hosts (summer squash and cucumber), while it sharply decreased on the novel host banana and the potential host pitaya, compared with those of the wild-type strain. Furthermore, the Ndufa7 knockout strain did not survive on the novel host guava. These results suggested that Ndufa7 disturbs the survival on native hosts, expansion to novel hosts, and further expansion to potential hosts of B. tau. Homozygous lethality occurred after the knockout of Ndufs1 or Ndufs3, suggesting that these 2 genes play a role in the early development of B. tau. This study revealed that Ndufa7 is a target gene for the management of tephritids and opens a new avenue for pest control research.

Studies of the expansion mechanism on different pellets under hydrogen-rich reducing atmosphere

ABSTRACT In response to the need to develop green low-carbon iron smelting technology, blast furnace hydrogen reduction technology is of great significance for reducing CO2 emissions from the ironmaking system. This study focuses on the change in swelling behaviour of different types of pellets during the blast furnace hydrogen smelting process. It analyses the reduction swelling index (RSI/%) and compression strength before and after reduction at 900°C in a variety of reduction gas atmospheres, among other indices. The results show that under the condition of ore grade, the reduction expansion rate of pellet increases with the increase of grade. With the increase of basicity (R) (0 ∼ 0.25) and the Mg-Al ratio (M/A) (0.4 ∼ 1.4), the reduction in expansion of the pellet shows an upward trend. However, the RSI/% shows a downward trend with the increase of the synergistic effect of ore silicon and aluminium (S + A). The compression strength after reduction increases to different degrees with the increase of the proportion of hydrogen in the reduction atmosphere; the maximum increase was about 0.591 KN. SEM-EDS detection was carried out on pellet in different reduction atmospheres, and the structure and component changes of various regions during the reduction process were analysed.

Numerical analysis of the hydraulic fracture propagation behavior encountering gravel in conglomerate reservoirs

Hydraulic fracturing, which forms complex fracture networks, is a common technique for efficiently exploiting low-permeability conglomerate reservoirs. However, the presence of gravel makes conglomerate highly heterogeneous, endowing the deformation, failure, and internal micro-scale fracture expansion mechanisms with uniqueness. The mechanism of fracture expansion when encountering gravel in conglomerate reservoirs remains unclear, challenging the design and effective implementation of hydraulic fracturing. This paper utilizes the Abaqus platform and adopts the maximum circumferential strain fracture criterion to establish a two-dimensional fluid-solid-structure coupled fracture expansion model. The study investigates the impact of permeability, Young’s modulus, in-situ stress difference, and incidence angle on the fracture expansion behavior in the presence of gravel. The results indicate that low-permeability gravel induces pressure changes near the fracture tip, like 13% pore pressure increase and stress reductions. Shear stress on the gravel surface rises by 28.3%, and choosing layers with a smaller permeability gap between matrix and gravel can reduce complex near-well fractures. High Young’s modulus gravel has a stress shielding effect around fractures, which is direction-dependent, with over tenfold stress variations. It causes a 60.7% increase in peak shear stress on the gravel surface, exacerbating fracture complexity and reducing extension distance, and a greater strength disparity between gravel and matrix enhances this effect. A high in-situ stress difference (over 8 MPa) weakens gravel-caused stress shielding, leading to stable fracture propagation with a single morphology and increased extension distance, though not favoring complex network formation. As the incidence angle rises, the gravel’s impact on stress and seepage fields weakens, but the risk of shear failure on the cementation interface increases. The findings provide a basis for optimizing operations in such reservoirs considering the various properties of gravel and their effects on fluid flow and fracture behavior.

Metabolic and transcriptional analysis of tuber expansion in Curcuma kwangsiensis

The tubers of Curcuma kwangsiensis are regarded as an important medicinal material in China. In C. kwangsiensis cultivation, tuber expansion is key to yield and quality, but the regulatory mechanisms are not well understood. In this study, metabolomic and transcriptomic analyses were conducted to elucidate the mechanism underlying tuber expansion development. The results showed that auxin (IAA), jasmonic acid (JA), gibberellin (GA3), ethylene (ETH), and brassinolide (BR) levels increased during tuber expansion development. Metabolomic analysis showed that 197 differentially accumulated metabolites (DAMs) accumulated during tuber expansion development and these also play important roles in the accumulation of carbohydrates and secondary metabolites. 6962 differentially expressed genes (DEGs) were enriched in plant hormone signal transduction, starch and sucrose metabolism, linoleic acid metabolism, MAPK signaling pathway as well as sesquiterpenoid and triterpenoid biosynthesis. Comprehensive analysis revealed that DEGs and DAMs of plant hormone signal transduction, ABC transporters and biosynthesis of phenylpropanoids and terpenoids are critical pathways in regulating tuber expansion. In addition, some transcription factors (ARF, C2H2, C3H, NAC, bHLH, GRAS and WRKY) as well as hub genes (HDS, HMGR, ARF7, PP2CA, PAL and CCOMT) are also involved in this process. This study lays a theoretical basis for the molecular mechanism of tuber expansion in C. kwangsiensis.

Deformation theory and energy mechanism of cyclic dynamic mechanical damage for granite in the diversion tunnel under cyclic loading-unloading.

The diversion tunnel is frequently subjected to cyclic dynamic loads during blasting and mechanical excavation. To explore the theory and mechanism of cyclic dynamic mechanical damage for granite in a diversion tunnel under cyclic loading-unloading, the incremental cyclic loading-unloading test and numerical simulation were conducted on granite samples from the diversion tunnel. According to the mechanical and deformation characteristics of rock samples in the process of cyclic loading-unloading, the stress-strain normalization theory evolution model based on viscoelastoplasticity was established, and the cyclic dynamic damage evolution mechanism of rock samples was revealed. The evolution characteristics of stress-strain curves of rock samples under cyclic loading-unloading were effectively described, and the loading-unloading two-stage constitutive equation of rock samples under cyclic loading-unloading was established. The energy and damage evolution mechanism of the final full stress-strain curve and the influence mechanism of shrinkage and expansion of rock particles on the mechanical properties of granite were discussed.

Expansion mechanism of sulfate attack on cement-treated aggregates under freeze–thaw cycles

Expansion mechanism of sulfate attack on cement-treated aggregates under freeze–thaw cycles

Driving mechanism of urban expansion in the Bohai Rim urban agglomeration from the perspective of spatiotemporal dynamic analysis

The urban agglomeration represents the predominant form of new urbanisation, yet the evolution of its internal spatial structure exhibits pronounced spatial and temporal heterogeneity. This study concentrates on the Bohai Rim urban agglomeration, one of three major urban agglomerations in China, which has received comparatively limited research attention but has also undergone substantial urbanisation. Therefore, we reassessed and explored the spatial-temporal evolution of the spatial structure of urban expansion using Exploratory Spatiotemporal Data Analysis (ESTDA), and summarized the driving mechanisms using Geographically and Temporally Weighted Regression (GTWR). Our study found that the urban land expansion intensity of Bohai Rim urban agglomeration presented the differences between megacities and large cities, coastal and inland cities and the regional disparities exhibited a gradual narrowing and balancing over time and space, with the high-expansion intensity zones undergoing alternation. The dynamics of the local spatial structure performed a clear positive correlation with the development level and a negative correlation with the exploitation time. The urban expansion intensity was influenced by various factors, including population, economic and other variables. Over time, the main drivers shifted from emphasis on economic quantity to quality, and from financial support to government policy. The objective of this study is to substantiate the impact of socio-economic factors on the spatio-temporal heterogeneity of urban expansion and to propose strategies for alleviating urban land pressure in the Bay Area urban agglomerations. This study enriches the research on the urban expansion mechanisms of different types of urban agglomerations and enhances a comprehensive understanding of the spatiotemporal heterogeneity of urban expansion within it. The findings can provide valuable theoretical support for urban planners in future urban development and construction and can also serve as exemplars for urbanisation in other urban agglomerations.

An integrated machine learning approach delineates an entropic expansion mechanism for the binding of a small molecule to α-synuclein

The mis-folding and aggregation of intrinsically disordered proteins (IDPs) such as α-synuclein (αS) underlie the pathogenesis of various neurodegenerative disorders. However, targeting αS with small molecules faces challenges due to the lack of defined ligand-binding pockets in its disordered structure. Here, we implement a deep artificial neural network-based machine learning approach, which is able to statistically distinguish the fuzzy ensemble of conformational substates of αS in neat water from those in aqueous fasudil (small molecule of interest) solution. In particular, the presence of fasudil in the solvent either modulates pre-existing states of αS or gives rise to new conformational states of αS, akin to an ensemble-expansion mechanism. The ensembles display strong conformation-dependence in residue-wise interaction with the small molecule. A thermodynamic analysis indicates that small-molecule modulates the structural repertoire of αS by tuning protein backbone entropy, however entropy of the water remains unperturbed. Together, this study sheds light on the intricate interplay between small molecules and IDPs, offering insights into entropic modulation and ensemble expansion as key biophysical mechanisms driving potential therapeutics.

Colloidal-graphite suspension based on thermally expanded graphite

Currently, modified oxidized (intercalated) graphites and thermally expanded graphites obtained from them are used in solving many applied problems. This is due to the fact that while retaining all the properties of layered graphite compounds, split graphite particles have important new properties, such as ease of molding, low bulk density, and active interaction with the polymer matrix. However, the question of the mechanisms of expansion of oxidized graphite and the properties of thermally expanded graphite particles split into layers has not been sufficiently studied. The establishment of experimental patterns of expansion processes of graphite oxidized by acids contributes to the understanding of the set of stages of complex processes occurring during the expansion of graphite particles in a gas atmosphere and in polymer matrices. The purpose of the work was to synthesize a colloidal-graphite suspension based on thermally expanded graphite particles, to study the properties of suspensions and expansion processes of oxidized graphite during thermal and microwave heating. As a result of modifying thermally expanded graphite with low bulk density in activating media, colloidal graphite suspensions are synthesized without a vibration grinding stage. The splitting of graphite materials after chemical modification by thermal and microwave-stimulated heating leads to the formation of graphene-like structures. The development of techniques for modifying electrically conductive porous samples of materials used as electrodes makes it possible to introduce nanographite particles under the influence of an electric field.

Stem cell graft dose and composition could impact on the expansion of donor-derived clones after allogeneic hematopoietic stem cell transplantation - a virtual clinical trial.

Hematopoietic stem cell transplantation is a potentially curative intervention for a broad range of diseases. However, there is evidence that malignant or pre-malignant clones contained in the transplant can expand in the recipient and trigger donor-derived malignancies. This observation has gained much attention in the context of clonal hematopoiesis, a medical condition where significant amounts of healthy blood cells are derived from a small number of hematopoietic stem cell clones. In many cases the dominating clones carry mutations conferring a growth advantage and thus could undergo malignant transformation in the recipient. Since clonal hematopoiesis exists in a significant proportion of potential stem cell donors, a more detailed understanding of its role for stem cell transplantation is required. We propose mechanistic computational models and perform virtual clinical trials to investigate clonal dynamics during and after allogenic hematopoietic stem cell transplantation. Different mechanisms of clonal expansion are considered, including mutation-related changes of stem cell proliferation and self-renewal, aberrant response of mutated cells to systemic signals, and self-sustaining chronic inflammation triggered by the mutated cells. Model simulations suggest that an aberrant response of mutated cells to systemic signals is sufficient to explain the frequently observed quick expansion of the mutated clone shortly after transplantation which is followed by a stabilization of the mutated cell number at a constant value. In contrary, a mutation-related increase of self-renewal or self-sustaining chronic inflammation lead to ongoing clonal expansion. Our virtual clinical trials suggest that a low number of transplanted stem cells per kg of body weight increases the transplantation-related expansion of donor-derived clones, whereas the transplanted progenitor dose or growth factor support after transplantation have no impact on clonal dynamics. Furthermore, in our simulations the change of the donors' variant allele frequencies in the year before stem cell donation is associated with the expansion of donor-derived clones in the recipient. This in silico study provides insights in the mechanisms leading to clonal expansion and identifies questions that could be addressed in future clinical trials.

Metabolomic markers of electrolytes, gases and internal environment of the content of chronic subdural hematomas.

Chronic subdural hematoma is one of the most common diseases in neurosurgical practice. The content of electrolytes and gases in the collection could participate in the growth and expansion mechanism, however, there is no evidence that they have been studied before. The objective has been to identify electrolyte, gas and internal metabolomic markers of the content of chronic subdural hematomas, with the possibility of participating in their growth and expansion and to substantiate a pathophysiological hypothesis that interacts with existing ones. A descriptive study was carried out with 53 patients operated on for chronic subdural hematoma, at the "Roberto Rodríguez Fernández" General Teaching Hospital of Morón in Ciego de Ávila, Cuba, in the period between January 2019 and December 2023. The diagnoses were obtained with computed axial tomography. The electrolyte and blood gas components of hematomas are correlated with clinical and neuroimaging variables. Patients over 70 years of age predominated, 37 (69.81%) and males 38 (71.70%). The Markwalder scale upon admission showed a predominance of Grade III in 24 cases (45.28%). The Glasgow outcome scale showed a predominance of Grade V, 31 (58.49%). Electrolyte and gasometric metabolomic markers of subdural blood can promote the phenomenon of progressive growth and expansion and have a synergistic effect with the rest of the pathophysiological mechanisms.

The colloidal nature and osmotic potential of alkali-silica reaction products and their role for the ASR expansion mechanism

The chemical basics of the ASR are largely revealed and widely accepted, but the nature of the expansion mechanism is still not yet sufficiently well understood. Recent observations showed that ASR products could be considered as colloidal systems. In order to clarify if and to what extent this is the case and whether it could help to better understand the nature of the ASR products and the mechanism of ASR expansion in concrete, 10 ASR products of different composition, water content and synthesised at two temperatures (40 and 60 °C) were investigated over a period of 1.5 years. The ASR products were studied by means of NTA, SEM, 29Si NMR, XRD and an osmotic cell test. The results show that ASR products contain particles of colloidal size, mainly between 50–600 nm and of different shape. The particles are unable to pass pores with a size smaller than themselves what represents a mechanism of semi-permeability in all concrete constituents with respective pore sizes, resulting in the Donnan effect and osmosis. The particles are irreversibly linked by the addition of Ca, which leads to a decrease in the particle concentration, the formation of crystalline phases and thus to a decrease in the osmotic potential of the ASR products. Based on the colloidal nature of the ASR products, expansion caused by ASR in concrete can be explained osmotically.

Impact of medicaid expansion on screenable versus non-screenable gastrointestinal cancers

BackgroundMedicaid expansion afforded increased healthcare access to low-income Americans contributing to a positive impact on cancer outcomes. However, it is unclear if these benefits were mainly due to enhanced access to cancer screening and earlier diagnosis versus access to cancer treatment MethodsThe National Cancer Database (NCDB) was queried between 2010 and 2021 for Medicaid and uninsured patients with GI malignancies. Patients were stratified by screenable (SGI) and non-screenable (NGI) cancers and expansion state (ES) categories: early (EES) and late (LES) adopters, and non-expansion state (NES) cohorts. Statistical analyses, including difference-in-difference (DiD) and adjusted models, assessed the impact of Medicaid expansion on stage at diagnosis. ResultsThere were 230,159 pre-expansion and 539,028 post-expansion patients. There was an increase in Medicaid coverage (14.8 % vs. 11.1 %) and a concomitant decline in the uninsured population (5.3 % vs. 8.2 %) in the post-expansion era. For SGI cancers, Medicaid expansion was associated with significantly lower mean stage at diagnosis (DiD Coef. −0.12; p < 0.01). For NGI cancers, Medicaid expansion was associated with a lower mean stage at diagnosis but with much smaller coefficient (DiD Coef. −0.015; p < 0.01). Comparing EES and LES to NES, EES had more impact on lower mean stage at diagnosis (vs NES DiD Coef. −0.16; p < 0.01) compared to LES (vs NES DiD Coef. −0.02; p = 0.04) for SGI cancers. For NGI cancers, there was a modest reduction in mean stage at diagnosis only for EES (vs NES DiD Coef. −0.04; p < 0.01). ConclusionMedicaid expansion, particularly for SGI cancers and early adopters, had a profound impact in lowering the mean stage at diagnosis. This emphasizes that long-term advantages of providing access to preventive care and screening, and thus earlier treatment, may be one of the main mechanisms of Medicaid expansion on improving cancer outcomes for GI malignancies. Policy summaryTo establish the benefits of Medicaid expansion under the Affordable Care Act 2010 for gastrointestinal cancer patients particularly in screening.

Shrinkage and Expansion Mechanisms of Resource-based Cities: Analysis Based on Multidimensional Typology Definition Matrix

The urban shrinkage phenomenon is increasingly common. However, at the same time, it is accompanied by local growth within the region, and its complex impact mechanism still lacks in-depth research. This paper takes Daqing, a resource-based city, as an example and constructs a multi-dimensional urban growth/shrinkage type definition matrix. The random forest classification model is used to quantitatively analyze the relevant factors affecting the classification matrix by comparing different models. The results show that: (1) The growth/shrinkage of Daqing City leads to a concentric structure of intensive growth—expansion growth—expansion shrinkage—intensive shrinkage that gradually changes from the center to the periphery in space. (2) The random forest classification model can better explain the cause mechanism of urban growth/shrinkage. (3) The growth/shrinkage of resource-based cities in the transformation stage is mainly affected by economic factors, such as traffic accessibility and urban morphology related to the resource economy. This study provides an evaluation framework from qualitative to quantitative, providing useful references for research and planning policy formulation in related fields.

A new data-driven production scheduling method based on digital twin for smart shop floors

As a mainstream means for solving smart shop floor production scheduling problems, the data-driven scheduling method has gained considerable attention in recent years. However, extant studies have primarily utilized physical shop floor data with limited quantity and quality to train scheduling models, which suffer from the drawbacks of long training time and poor scheduling performance. Therefore, this study proposes a new data-driven scheduling method based on digital twin for smart shop floors, which utilizes the data from physical shop floor and digital shop floor constructed by digital twin to train scheduling models. Specifically, in this method, a model-level data fusion mechanism is designed to achieve the fusion and complementary advantages of these two types of data, thus providing sufficient and high-quality data support for high-precision model training. Additionally, a multi-layer feedforward neural network with a generative adversarial network-based sample expansion mechanism is further integrated to efficiently generate scheduling decisions. Experiments in a semiconductor production shop floor are conducted to confirm the effectiveness of the proposed method.

Shrinkage behavior of alkali-activated materials using ground bottom ashes, calcined clays, volcanic ashes, and fluidized bed combustion ashes as precursors

The global decline in the availability of fly ash and slag, the most common precursors for alkali-activated materials (AAMs), necessitates the exploration of alternative materials. Alkali activation technology presents an opportunity to utilize a wide range of naturally occurring and industrial byproducts rich in aluminosilicate minerals as precursors, offering a low-carbon alternative to traditional cement. This study investigates the volumetric deformations in AAMs produced from four groups of nontraditional and natural pozzolan-based (NNP) materials: low-purity calcined clays (CC), volcanic ashes (VA), ground bottom ashes (GBA), and fluidized bed combustion ash (FBC). Volumetric deformations—including chemical, autogenous, and drying shrinkage—were characterized using ASTM standards for portland cement. Chemical and autogenous deformations were minimal across most materials, while excessive drying shrinkage was observed in all but the calcined clays. The application of shrinkage-reducing admixtures and internal curing effectively mitigated this shrinkage. Further analyses of total heat release during activation, bound water content, pore solution surface tension, and porosity provided insights into the shrinkage and expansion mechanisms. With effective drying shrinkage control measures, alkali-activated NNPs show promise as viable low-carbon binders.

The expansion mechanism of expansive surrounding rock in Guiyang City, China

Expansive surrounding rock, such as mudstone, poses significant risks to supporting structures like tunnel linings due to its tendency to expand. To explore the expansion mechanism of expansive surrounding rock and address underground engineering challenges associated with it, this study, based on the first phase of Guiyang Metro Line S1, samples expansive surrounding rock from the section and conducts basic physical tests, X-ray diffraction (XRD), and scanning electron microscopy (SEM) analyses on the samples. The influence of water content (0%, 2.93%, 6.84%, and 8.20%) on the mechanical properties of mudstone, as well as its expansion characteristics under natural conditions, were examined. Results indicate that the microscopic surface of mudstone is rough, with cracks distributed around pores. These elements interconnect to form natural water channels, with clay minerals and non-clay minerals comprising 47.2% and 52.8% of the sample, respectively. Mudstone contains multiple pores that gradually develop as water content increases. Mudstone expansion significantly reduces its compressive strength. When lateral constraints are applied, mudstone exhibits significantly greater expansion compared to axial and radial changes. When mudstone encounters water, the expansion pressure fluctuates significantly. Upon water absorption following dehydration, cracks in the rock sample develop rapidly, accelerating collapse. These findings offer valuable insights for the construction and design of tunnels in expansive surrounding rock formations within karst areas.

Salinization and salt expansion mechanism of soda residue soil at subgrade

The solid waste soda residue (SR) exhibits a high content of soluble salts, and the liquid phase soluble salts in soda residue soil (SRS) undergo phase transition crystallization during cooling process, leading to subgrade salt expansion and deformation damage. In order to explore the salt mechanisms of SRS, this paper systematically analyzes the impact of SR content on the salinization and salt expansion characteristics of SRS using soluble salt tests and salt expansion experiments. Combined with X-ray diffractometry (XRD) and low-temperature frost shrink tests, the study analyzed the salt expansion process of SRS. The results indicate that under different SR content, SRS is classified as chloride saline soil. The SRS is categorized into weak saline soil, moderate saline soil, strong saline soil, and over-saline soil with different soda residue dosage. During cooling from 20°C to −25°C, all SRS groups exhibit initial salt expansion followed by frost shrink deformation characteristics. As the SR content increases within the 0 % – 40 % range, the temperature range for severe salt expansion gradually decreases from 5°C to −15°C. At 25 % SR content, SRS exhibits the most severe salt expansion, while excessively high SR content inhibits the crystallization of sulfate salt phase transitions. The study identifies three stages in the salt expansion process of SRS: promotion stage, severe stage, and inhibition stage. The research findings provide valuable insights for the prevention of salt expansion in SRS and the widespread utilization of SR in road applications.

Static Versus Expandable Cages in Minimally Invasive Lateral Lumbar Interbody Fusion: A Systematic Review and Meta-Analysis.

A meta-analysis approach to a systematic review. Perform a systematic review to identify all reports directly comparing outcomes of lateral lumbar interbody fusion (LLIF) using static versus expandable interbody cages. Specifically focusing on periprocedural complications, intraoperative morbidity, and fusion outcomes. Minimally invasive surgical techniques, particularly LLIF, have gained popularity for their potential to reduce muscle and soft tissue dissection, leading to faster postoperative recovery. LLIF has been associated with fewer complications compared with open posterior approaches. The introduction of expandable lumbar interbody devices aims to further reduce surgical difficulty and potential complications. However, concerns include a small graft window due to the expansion mechanism and higher costs. The Web of Science, Scopus, and PubMed databases were systematically queried in accordance with PRISMA guidelines to identify articles comparing outcomes following LLIF using static and expandable interbodies. The Newcastle-Ottawa Scale (NOS) was employed to assess the risk of bias (ROB) in the selected studies. Extracted data underwent effect-size meta-analysis with the PyMARE library, using P<0.05 to define statistical significance. Of the 77 identified articles, 4 studies comprising 283 patients (mean age: 67.1y, 55.8% female) met the inclusion and exclusion criteria. A total of 150 patients (53%) were treated with static interbodies compared with 133 (47%) receiving expandable interbodies. The groups did not differ significantly with respect to operative time (P=0.59), blood loss (P=0.89), length of stay (P=0.78), subsidence (P=0.49), 24-month mean disc height (P=0.11), 24-month mean ODI (P=0.58), or 24-month mean visual analog scale (VAS) back pain (P=0.81). The expandable group saw a trend toward improved fusion rates (97% vs. 92%, P=0.06). The present meta-analysis suggests the use of expandable (vs. static) interbodies in LLIF surgery may result in similar surgical morbidity, subsidence, and decompression. Further prospective comparative studies are merited to validate these results.