Invasion Process Research Articles

Dissecting the role of transcription factor AP2-M in Babesia asexual replication.

Babesia spp. are obligate intracellular parasites that invade host cells to complete their asexual development and transmission. Here, we identified a transcription factor AP2-M (BXIN_0799) in Babesia sp. Xinjiang (Bxj), a member of the Apicomplexan AP2 family, which regulates gene expression related to red blood cell (RBC) invasion and cell cycle progression. Our genome-wide analysis of (Cut-Tag) data shows that AP2-M specifically recognized DNA motifs in the promoters of target genes. AP2-M target genes included other AP2 gene family members and epigenetic markers, which could modulate gene expression involved in RBC invasion, merozoite morphology, and cell cycle phases, as indicated by RNA sequencing, proteomics, and single-cell RNA sequencing (scRNA-seq) data from an ap2-m gene disrupted strain (AP2-M (-)). We conclude that AP2-M appeared to contribute to the process of red blood cell invasion, maintain merozoite morphology, and cell cycle progression through GS and MS phases.

Single-cell transcriptome profiles and E−64 inhibitor data reveal the essential role of cysteine proteases in the ontogeny of Ichthyophthirius multifiliis

Ichthyophthiriasis (Ich), also known as white spot disease, causes significant economic losses to fish farmers once an outbreak occurs. For fish survival, it is therefore crucial to understand the pathogenic mechanism and find effective prevention methods. In this study, we obtained data for four stages (theront, trophont, protomont and tomont) of Ichthyophthirius multifiliis by single-cell RNA sequencing (scRNA-seq). We found that the invasion-related proteins encoded by highly expressed genes in the theront stage mainly belong to the leishmanolysin family proteins, heat shock proteins, transmembrane proteins and cysteine proteases (CPs). Additionally, the exosome pathway appears to play a significant role in the invasion process of the theront. Since cysteine proteases are expressed at all stages of the I. multifiliis, and five CP-related genes were significantly upregulated at the theront stage of its life cycle — two of which are enriched in the exosome pathway — we incubated I. multifiliis theronts and protomonts with cysteine protease inhibitor (E−64). Our findings revealed that E−64 could kill both stages of the parasite in vitro and affected tomont division and subsequent release. Furthermore, infection experiment showed that E−64 could significantly inhibit the invasion of theronts. Based on our preliminary analysis from the transcriptomic and E−64 experiments, we have confirmed that CPs play a crucial role in I. multifiliis. This research establishes a foundation for future strategies in the prevention and control of Ich.

Strong effect of often-overlooked initial spilled oil distribution on subsequent soil remediation: A pore-scale perspective

The removal of spilled oil within soil by water injection is essentially an immiscible fluid displacement process. Numerous studies have been conducted to investigate the way to achieve a higher displacement efficiency. However, these studies often assumed that the pore space was initially saturated by oil only, ignoring the effect of initial oil distribution on the remediation, which led to incorrectly computed flow field and biased analysis. This work aimed to reveal the effect of initial oil distribution on flow physics during the remediation. Based on a pore-scale model and the phase-field method, the spilled oil invasion and remediation in a heterogeneous porous media were investigated, and the dynamic evolution of the phase interface was examined in particular. Four different distribution patterns of spilled oil were obtained through various velocities during the oil invasion stage, which were considered as initial states for the subsequent remediation stage. The results showed that ignoring the oil invasion process led to a more than 10% reduction in the ultimate remediation efficiency. However, the maximum interfacial area of fluids was larger and the obtained relative permeability curve was much smoother for the scenario considering the oil invasion. Besides, a higher initial water saturation led to a lower starting pressure. This work provided new pore-scale insights into the often-overlooked roles of initial phase distribution in fluid dynamics behind the remediation of oil-contaminated soil by water injection, which was of fundamental importance to the development of effective response strategy for soil contamination.

RBMS1 interference inhibits malignant progression of glioblastoma cells and promotes ferroptosis

BackgroundGlioblastoma (GBM) is a brain tumor characterized by the highest malignancy and the poorest prognoses. RNA binding motif single strand interacting protein 1 (RBMS1) has been implicated to be involved in various cancer progression. This study was conceived to explore the role and the mechanism of RBMS1 in GBM.MaterialsRT-qPCR and western blot were used to evaluate RBMS1 expression and examine the transfection efficiency of sh-RBMS1. Cell proliferation was detected using CCK-8 assay and colony formation assay while cell apoptosis was detected with flow cytometry. Cell migration and invasion were detected with wound healing and transwell assay. The activities of MMP2 and MMP9 were detected using gelatin zymography. Western blot was used to measure proliferation-, apoptosis-, ferroptosis- and EMT-related proteins. Lipid peroxidation was detected with TBARS Assay Kit and lipid ROS was detected with a BODIPY 581/591 C11 kit. The total iron level was detected using corresponding assay kits.ResultsAccording to GEPIA database, RBMS1 expression was upregulated in GBM and the present study found that RBMS1 expression was upregulated in GBM cells. After interfering RBMS1, GBM cell proliferation, migration, invasion and EMT process were inhibited while cell apoptosis and ferroptosis were promoted. However, ferroptosis inhibitor Fer-1 partially counteracted the protective effects of RBMS1 knockdown on GBM.ConclusionCollectively, this study revealed that RBMS1 silence inhibited the malignant progression of GBM possibly through ferroptosis.

Mangroves Invaded by Spartina alterniflora Loisel: A Remote Sensing-Based Comparison for Two Protected Areas in China

Mangroves are one of the world’s most productive and ecologically important ecosystems, and they are threatened by the widespread invasion of Spartina alterniflora Loisel in China. As few studies have examined the spatial pattern differences of S. alterniflora invasion and the nearby mangroves in different latitudes, we chose the Zhangjiang Estuary and the Dandou Sea, two representative mangrove–salt marsh ecotones in the north and south of the Tropic of Cancer, as the study areas for comparison. The object-based image analysis and visual interpretation methods were combined to construct fine-scale mangrove and S. alterniflora maps using high-resolution satellite imagery from 2005 to 2019. We applied spatial analysis, centroid migration, and landscape indexes to analyze the spatio–temporal distribution changes of mangroves and S. alterniflora in these two ecotones over time. We used the landscape expansion index to investigate the S. alterniflora invasion process and expansion patterns. The annual change rates of mangrove and S. alterniflora areas in the Zhangjiang Estuary showed a continuous growth trend. However, the mangrove areas in the Dandou Sea showed a fluctuating trend of increasing, decreasing, and then increasing again, while S. alterniflora areas kept rising from 2005 to 2019. Spartina alterniflora showed larger annual change rates compared with mangroves, indicating rapid S. alterniflora invasion in the intertidal zones. The opposite centroid migration directions of mangroves and S. alterniflora and the decreasing distances between the mangrove and S. alterniflora centroids indirectly revealed the fierce competition between mangroves and S. alterniflora for habitat resources. Both regions saw a decrease in mangrove patch integrality and connectivity. The integrality of mangrove patches in the Zhangjiang Estuary was always higher than those in the Dandou Sea. We observed the growth stage (2011–2014) and outbreak stage (2014–2019) of S. alterniflora expansion in the Zhangjiang Estuary and the outbreak stage (2005–2009) and plateau stage (2009–2019) of S. alterniflora expansion in the Dandou Sea. The expansion pattern of S. alterniflora varies in time and place. Since the expansion of S. alterniflora in the outbreak stage is rapid, with a large annual change rate, early warning of S. alterniflora invasion is quite important for the efficient and economical removal of the invasive plant. Continuous and accurate monitoring of S. alterniflora is highly necessary and beneficial for the scientific management and sustainable development of coastal wetlands.

High-Accuracy Positivity-Preserving Finite Difference Approximations of the Chemotaxis Model for Tumor Invasion.

Numerical simulation of the complex evolution process for tumor invasion plays an extremely important role in-depth exploring the bio-taxis phenomena of tumor growth and metastasis. In view of the fact that low-accuracy numerical methods often have large errors and low resolution, very refined grids have to be used if we want to get high-resolution simulating results, which leads to a great deal of computational cost. In this paper, we are committed to developing a class of high-accuracy positivity-preserving finite difference methods to solve the chemotaxis model for tumor invasion. First, two unconditionally stable implicit compact difference schemes for solving the model are proposed; second, the local truncation errors of the new schemes are analyzed, which show that they have second-order accuracy in time and fourth-order accuracy in space; third, based on the proposed schemes, the high-accuracy numerical integration idea of binary functions is employed to structure a linear compact weighting formula that guarantees fourth-order accuracy and nonnegative, and then a positivity-preserving and time-marching algorithm is established; and finally, the accuracy, stability, and positivity-preserving of the proposed methods are verified by several numerical experiments, and the evolution phenomena of tumor invasion over time are numerically simulated and analyzed.

GlycoSS: A DNA Glycosignal Sieve for Deciphering Spatially Resolved EpCAM-Specific Glycoforms.

Malignant transformation of cancer is often accompanied by aberrant glycopatterns. Epithelial-mesenchymal transition (EMT) is a crucial biological process in cancer migration and invasion, accelerating cancer deterioration. High-precision analysis of protein-glycan spatial profiling in the EMT process is essential for elucidating glycosylation functions and cancer progression. However, the diversity of glycans in composition and conformation complicates their spatial analysis. Here, we develop a DNA glycosignal sieve (GlycoSS) visualization platform for screening glycoform expression with a protein spatial dimension. GlycoSS utilizes protein-anchored DNA nanoscanners of distinct lengths to control glycosignal readout, enabling protein-glycan distance modulations, and simultaneously orthogonally amplify glycoform output through signal amplification by an exchange reaction. Using GlycoSS, we screened EpCAM-specific hypoglycosylated glycoform signals in different breast cancer cell subtypes, especially characterizing the spatial distribution of glycans on the MCF-7 cell surface. Considering that the EpCAM-specific N-glycan dysregulation in EMT is pivotal, GlycoSS revealed dynamic glycan fluctuations during IGF-1-induced EMT, revealing that the N-glycans were positively associated with tumor malignancy and metastasis. GlycoSS is anticipated to accelerate the identification of aberrant N-glycosylation in tumor progression, advancing systemic glycobiology insights. Notably, GlycoSS is capable of analyzing diverse glycoprotein profiles, offering additional dimensions into the role of glycoprotein nanoenvironments in regulating membrane protein function.

Host diversity of Aedes albopictus in relation to invasion history: a meta-analysis of blood-feeding studies

BackgroundThe invasive mosquito Aedes albopictus is a major concern for human and animal health given its high potential to spread over large geographical distances, adapt to various habitats and food sources, and act as a vector for pathogens. It is crucial to understand how this species establishes ecological relationships at different locations, as it determines its role in transmission of diseases.MethodsBased on published blood meal surveys, a meta-analysis was performed to investigate how host diversity changes along the process of invasion at a large scale. For 48 independent localities, the Shannon diversity index was calculated and was then assessed against several moderator variables describing invasion status, habitat type, methodology, survey year and the year of introduction for invasive populations.ResultsDiet diversity was higher in the invasive than in the native populations when the strong habitat effects were held constant. Furthermore, the year of introduction also had a significant role, as invasive populations that had been established earlier had wider diet diversity than more recent populations.ConclusionsInvasive Ae. albopictus has considerable ecological flexibility. The species’ ability to adapt to various food sources goes hand in hand with its successful worldwide dispersion, which has strong implications for its role in pathogen transmission.Graphical

Numerical simulation of three-phase mud invasion using an epidermal effect model and adaptive time-stepping

Abstract The numerical simulation of reservoir mud invasion is widely used for studying the dynamic invasion process. To investigate the saturation changes of the three phases (water, oil, and mud filtrate) during mud infiltration into intact formations, this study presents a mathematical model for three-phase invasion in cylindrical coordinates. The principle of mud intrusion into the reservoir allows the derivation of the basic equation of three-phase mud seepage from Darcy's law and the law of mass conservation. This is followed by the derivation of the differential equations of pressure and three-phase saturation during mud intrusion. A numerical simulation program for the three-phase seepage flow of mud intrusion is written using the finite-difference method. An adaptive time-step algorithm is developed to address the inadaptability of the intrusion algorithm in the case of mud surges. Additionally, an epithermal effect algorithm is developed to address the problem of mud particles entering the stratum and affecting the absolute permeability. The results show that, as the porosity increases, the radial depth of intrusion decreases, along with a reduction in the invaded annulus range. It can be demonstrated that, when the reservoir pressure is maintained at a constant level, the size of the borehole pressure leads to an increase in the depth of radial intrusion and the extent of the intrusion annulus, under different differential pressure conditions.

The LINC00319 binding to STAT3 promotes the cell proliferation, migration, invasion and EMT process in oral squamous cell carcinoma

BackgroundLong non-coding RNA LINC00319 has been implicated in the progression of various cancers, including oral squamous cell carcinoma (OSCC). While our previous work has revealed some aspects of LINC00319's role in OSCC, including its upregulation and involvement in a competing endogenous RNA (ceRNA) mechanism, the full extent of its functions and regulatory mechanisms in OSCC progression remain to be fully elucidated. ObjectiveThis study aimed to investigate the function of LINC00319 in OSCC and its potential interaction with the STAT3 signaling pathway, thus uncovering novel regulatory mechanisms and therapeutic targets. MethodsBioinformatics analysis was performed using TCGA data to evaluate LINC00319 expression in OSCC tissues and its correlation with STAT3 signaling. The direct binding between LINC00319 and STAT3 was examined by RNA pull-down, FISH, and RIP assays. Functional experiments, including CCK-8, transwell migration and invasion assays, and western blot analysis of EMT markers and STAT3 pathway activation, were conducted to assess the effects of LINC00319 on OSCC cell behaviors and its interaction with the STAT3 signaling pathway. In vivo xenograft models were established to validate the role of LINC00319 in tumor growth and STAT3 activation. ResultsLINC00319 expression was significantly upregulated in OSCC tissues compared to normal tissues, and high LINC00319 expression correlated with STAT3 signaling activation. Mechanistically, LINC00319 directly bound to STAT3 protein and promoted its phosphorylation at Tyr705. LINC00319 overexpression enhanced, while its knockdown suppressed, the proliferation, migration, invasion, and EMT of OSCC cells. These oncogenic effects were mediated through STAT3 activation and could be reversed by the STAT3 inhibitor stattic. In vivo experiments further confirmed that LINC00319 silencing inhibited tumor growth and STAT3 phosphorylation. ConclusionThis study uncovers that LINC00319 promotes OSCC tumorigenesis by directly binding to and activating STAT3 signaling. These findings provide new insights into the regulatory mechanisms of STAT3 by long non-coding RNAs and highlight the potential of LINC00319 as a biomarker and therapeutic target in OSCC.

Long‐term and landscape impacts of buffel grass on arid plant communities: Ecosystem shifts and acceleration by fire

AbstractPlant invasions drive biodiversity loss, transform ecosystems, and promote positive‐feedback cycles between invasion and fire. However, the long‐term impacts of invasive grasses across landscapes with diverse plant communities and interactions with fire are poorly known. Our objectives were to examine whether buffel grass (Cenchrus ciliaris), a globally significant plant invader, altered the abundance of understory and overstory plants, homogenized plant composition, and shifted ecosystems from woodlands to grassland and to explore interrelationships between invasion and fire. We combined two methodological approaches to assess invasion spread and impacts of buffel grass in the Aṉangu Pitjantjatjara Yankunytjatjara (APY) Lands of arid central Australia: a before‐after‐control‐impact (BACI) experiment over 25 years at 15 sites and a paired‐plot (randomized‐block) experiment at 18 sites. Both experiments spanned two geographic regions and multiple vegetation communities situated on flat plains and rocky hills. We used generalized linear mixed models to analyze predictions about plant abundance and permutational multivariate ANOVA (PERMANOVA) and permutational multivariate analysis of dispersion (PERMDISP) to examine changes in community composition. Fire and invasion interactions were explored using fire history or the relative fire tolerance of plant species as covariates, predictors, or responses. Fire interacted with the invasion process in multiple ways. Invaded sites had burnt more frequently and recently than native sites in one region, and where propagules were present in 1995, buffel grass abundance increased most when fires ensued. Abundance of understory plant functional groups (native grasses, ferns, and vines) decreased with invasion, and understory shrubs decreased due to frequent fires in invaded sites. Overstory composition shifted from fire‐sensitive species toward fire‐tolerant species, but this was not directly attributable to invasion. Partial evidence for ecosystem regime shifts included homogenization of understory communities in invaded rocky hills, and an increase in woody shrub cover at native but not invaded sites over 25 years, resulting in a 5% cover difference by 2019. Impacts were detected across heterogeneous ecological communities at a scale not previously tested amongst high background community variability. Although invasion is not dependent on fire, the acceleration of invasion spread and impacts with fire is a critical consideration for future research and management of grass invaders.

The Indispensable Roles of GMDS and GMDS-AS1 in the Advancement of Cancer: Fucosylation, Signal Pathway and Molecular Pathogenesis.

Fucosylation is facilitated by converting GDP-mannose to GDP-4-keto-6-deoxymannose, which GDP-mannose 4,6-dehydratase, a crucial enzyme in the route, carries out. One of the most prevalent glycosylation alterations linked to cancer has reportedly been identified as fucosylation. There is mounting evidence that GMDS is intimately linked to the onset and spread of cancer. Furthermore, the significance of long-chain non-coding RNAs in the development and metastasis of cancer is becoming more well-recognized, and the regulatory mechanism of lncRNAs has emerged as a prominent area of study in the biological sciences. GMDS-AS1, an antisense RNA of GMDS, was discovered to have the potential to be an oncogene. We have acquired and analyzed relevant data to understand better how GMDS-AS1 and its lncRNA work physiologically and in tumorigenesis and progression. Additionally, we have looked into the possible effects of these molecules on cancer treatment approaches and patient outcomes. The physiological roles and putative processes of GMDS and lncRNA GMDS-AS1 throughout the development and progression of tumors have been assembled and examined. We also examined how these chemicals might affect patient prognosis and cancer therapy approaches. GMDS and GMDS-AS1 were determined to be research subjects by searching and gathering pertinent studies using the PubMed system. The analysis of these research articles demonstrated the close relationship between GMDS and GMDS-AS1 and tumorigenesis and the factors that influence them. GMDS plays a vital role in regulating fucosylation. The related antisense gene GMDS-AS1 affects the biological behaviors of cancer cells through multiple pathways, including the key processes of proliferation, migration, invasion, and apoptosis, providing potential biomarkers and therapeutic targets for cancer treatment and prognosis assessment.

From Concept to Cure: The Life and Legacy of Scipione Riva-Rocci.

The evolution of cardiovascular diagnostics has been profoundly influenced by the invention of the sphygmomanometer, a groundbreaking tool that transformed the measurement of blood pressure from an imprecise and invasive process into a routine and reliable clinical practice. Scipione Riva-Rocci, an Italian physician, developed the mercury sphygmomanometer in 1896, revolutionizing the way blood pressure was measured and managed. This simple yet innovative device, comprising an inflatable cuff, a mercury column manometer, and a stethoscope, provided the first accurate, noninvasive method for measuring blood pressure. The introduction of the Riva-Rocci sphygmomanometer not only enhanced the ability to diagnose and treat hypertension but also laid the foundation for modern cardiovascular medicine. The widespread adoption of this device has had a lasting impact on patient care, enabling early detection and management of cardiovascular diseases, thus significantly reducing morbidity and mortality. This review examines the design, development, and enduring legacy of Riva-Rocci's sphygmomanometer, highlighting its pivotal role in the history of medical innovation and its continued relevance in contemporary clinical practice.

Biotic Interactions Shape Soil Bacterial Beta Diversity Patterns along an Altitudinal Gradient during Invasion

Invasive plants have already been observed in the understory of mountain forests, which are often considered a safe shelter for most native plants. Microorganisms might be drivers of plant invasions. Nevertheless, the mechanisms determining variations in microbial community composition (beta diversity) during invasion along altitudinal gradients remain to be elucidated. Here, the elevational patterns and the driving ecological processes (e.g., environmental filtering, co-occurrence patterns, and community assembly processes) of soil bacterial beta diversity were compared between invasive and native plants on the Qinling Mountains. The species turnover dominated bacterial compositional dissimilarities in both invasive and native communities, and its contribution to total beta diversity decreased during invasion. Total soil bacterial dissimilarities and turnover exhibited significant binominal patterns over an altitudinal gradient, with a tipping point of 1413 m. Further analysis showed that the contributions of assembly processes decreased in parallel with an increase in contributions of co-occurrence patterns during the invasion process, indicating that species interdependence rather than niche partitioning is strongly correlated with the bacterial biogeography of invasive communities. Plant invasion affects the relative contributions of stochastic processes and co-occurrence interactions through the regulation of the physiochemical characteristics of soil, and ultimately determines compositional dissimilarities and the components of the bacterial community along altitudinal gradients.

Tristetraprolin affects invasion-associated genes expression and cell motility in triple-negative breast cancer model.

Tristetraprolin (TTP) is an RNA-binding protein that negatively regulates its target mRNAs and has been shown to inhibit tumor progression and invasion. Tumor invasion requires precise regulation of cytoskeletal components, and dysregulation of cytoskeleton-associated genes can significantly alter cell motility and invasive capability. Several genes, including SH3PXD2A, SH3PXD2B, CTTN, WIPF1, and WASL, are crucial components of the cytoskeleton reorganization machinery and are essential for adequate cell motility. These genes are also involved in invasion processes, with SH3PXD2A, SH3PXD2B, WIPF1, and CTTN being key components of invadopodia-specialized structures that facilitate invasion. However, the regulation of these genes is not well understood. This study demonstrates that ectopic expression of TTP in MDA-MB-231 cells leads to decreased mRNA levels of CTTN and SH3PXD2A, as well as defects in cell motility and actin filament organization. Additionally, doxorubicin significantly increases TTP expression and reduces the mRNA levels of cytoskeleton-associated genes, enhancing our understanding of how doxorubicin may affect the transcriptional profile of cells. However, doxorubicin affects target mRNAs differently than TTP ectopic expression, suggesting it may not be the primary mechanism of doxorubicin in breast cancer (BC) treatment. High TTP expression is considered as a positive prognostic marker in multiple cancers, including BC. Given that doxorubicin is a commonly used drug for treating triple-negative BC, using TTP as a prognostic marker in this cohort of patients might be limited since it might be challenging to understand if high TTP expression occurred due to the favorable physiological state of the patient or as a consequence of treatment.

Structural and quantitative comparison of viral infection-associated N-glycans in plasma from humans, pigs, and chickens: Greater similarity between humans and chickens than pigs

Host N-glycans play an essential role in the attachment, invasion, and infection processes of viruses, including zoonotic infectious diseases. The similarity of N-glycans in the trachea and lungs of humans and pigs facilitates the cross-species transmission of influenza viruses through respiratory tracts. In this study, the structure and quantity of N-glycans in the plasma of humans, pigs, and chickens were analyzed using liquid chromatography-quadrupole-Orbitrap-tandem mass spectrometry. N-glycans in humans (35), pigs (28), and chickens (53) were identified, including the most abundant, species-common, and species-specific N-glycans. Among the N-glycans (relative quantity >0.5%), the sialic acid derivative of N-acetylneuraminic acid was identified in humans (the sum of the relative quantities of each; 64.3%), pigs (45.5%), and chickens (64.4%), whereas N-glycolylneuraminic acid was only identified in pigs (18.1%). Sialylated N-glycan linkage isomers are the influenza virus receptors (α2-6 in humans, α2-3 and α2-6 in pigs, and α2-3 in chickens). Only α2-6 linkages (human, 58.2%; pig, 44.8%; and chicken, 60.6%) were more abundant than α2-3/α2-6 linkages (human, 4.6%; pig, 0.6%; and chicken, 3.4%) and only α2-3 linkages (human, 1.5%; pig, 0.1%; and chicken, 0.4%). Fucosylation, which can promote viral infection through immune modulation, was more abundant in pigs (76.1%) than in humans (36.4%) and chickens (16.7%). Bisecting N-acetylglucosamine, which can suppress viral infection by inhibiting sialylation, was identified in humans (10.3%) and chickens (16.9%), but not in pigs. These results indicate that plasma N-glycans are similar in humans and chickens. This is the first study to compare plasma N-glycans in humans, pigs, and chickens.

Modelling collective invasion with reaction–diffusion equations: When does domain curvature matter?

Real-world cellular invasion processes often take place in curved geometries. Such problems are frequently simplified in models to neglect the curved geometry in favour of computational simplicity, yet doing so risks inaccuracies in any model-based predictions. To quantify the conditions under which neglecting a curved geometry is justifiable, we explore the dynamics of a system of reaction–diffusion equations (RDEs) on a two-dimensional annular geometry analytically. Defining ϵ as the ratio of the annulus thickness δ and radius r0 we derive, through an asymptotic expansion, the conditions under which it is appropriate to ignore the domain curvature for a general system of reaction–diffusion equations. To highlight the consequences of these results, we simulate solutions to the Fisher–Kolmogorov–Petrovsky–Piskunov (Fisher–KPP) model, a paradigm nonlinear RDE typically used to model spatial invasion, on an annular geometry. Thus, we quantify the size of the deviation from an analogous simulation on the rectangle, and how this deviation changes across the width of the annulus. We further characterise the nature of the solutions through numerical simulations for different values of r0 and δ. Our results provide insight into when it is appropriate to neglect the domain curvature in studying travelling wave behaviour in RDEs.

Galectin-8 Contributes to Human Trophoblast Cell Invasion.

Galectins are a class of lectins that are extensively expressed in all organisms. Galectins are involved in a range of functions, including early development, tissue regeneration, cancer and inflammation. It has been shown that galectin-8 is expressed in the villous and extravillous trophoblast (EVT) cells of the human placenta; however, its physiological role in pregnancy establishment has not been elucidated. Taking these factors into account, we investigated the functional role of galectin-8 in HTR-8/SVneo cells-a human EVT cell line-and human primary cytotrophoblast cells isolated from a first-trimester placenta. We analyzed the effects of recombinant human galectin-8 (rh galectin-8) on the adhesion, migration and invasion of HTR-8/SVneo cells. We used qPCR, cell-based ELISA (cELISA) and gelatin zymography to study the effects of galectin-8 on mediators of these processes, such as integrin subunits alpha-1 and beta-1 and matrix metalloproteinases (MMPs)-2 and -9, on the mRNA and protein levels. Further, we studied the effects of galectin-8 on primary cytotrophoblast cells' invasion. Galectin-8 stimulated the adhesion, migration and invasion of HTR-8/SVneo cells, as well as the invasion of primary cytotrophoblasts. In addition, the MMP-2 and -9 levels were increased, while the expression of integrins alpha-1 and beta-1 was not affected. Galectin-8 has the ability to positively affect EVTs' invasion, so it can be considered a significant factor in the trophoblast cell invasion process.

Pituitary Gland Morphology: A Novel Diagnostic Marker for Differentiating Growth Hormone Deficiency from Idiopathic Short Stature in Children

Background: The primary causes of short stature (SS) are idiopathic short stature (ISS) and growth hormone deficiency (GHD). The diagnosis of GHD relies on growth hormone stimulation tests (GHSTs), while the diagnosis of ISS is achieved through exclusion. Objectives: Growth hormone (GH) and insulin-like growth factor-I are the best therapeutic drugs for treating GHD, but their suitability for ISS remains controversial. Therefore, distinguishing between these two causes of SS is crucial. Currently, the diagnosis of GHD depends on GHSTs, whereas the diagnosis of ISS is achieved through exclusion, which is an invasive process. Thus, developing a noninvasive and convenient method to differentiate between GHD and ISS would be of great importance. Patients and Methods: We enrolled patients aged 3 - 14 years who presented with SS and underwent GHSTs and pituitary gland (PG) magnetic resonance imaging (MRI) at our hospital from January 2020 to October 2022 for a cross-sectional study. A total of 205 patients were included, comprising 83 with ISS and 122 with GHD. The GHD patients were further divided into two groups based on the peak GH level in GHSTs. All patients underwent routine physical examinations, GHSTs, PG MRI, and X-rays of the left wrist. Two authors independently recorded the PG features (height, length, width, volume, pituitary stalk diameter, pituitary stalk length, and morphology). The PG morphology was categorized into three types: Convex, flat, and concave. Bone age was estimated from X-rays of the left wrist, which were reviewed by an experienced radiologist. Comparisons between the two groups were conducted using two independent samples t-tests or chi-square (χ²) tests. Results: There were no differences between the two groups regarding baseline clinical characteristics, except for the GH peak in GHSTs (P < 0.05). Pituitary stalk diameter, PG height, PG volume, and the dorsum sellae were significantly lower, while the tuberculum sellae was higher in the GHD group compared to the ISS group (all P < 0.05). The proportion of concave PG was higher, and the proportion of flat PG was lower in the GHD group (all P < 0.05). In subgroup analysis, PG height and PG volume were significantly lower in the absolute GHD (AGHD) group compared to the partial GHD (PGHD) group (all P < 0.05). Correlation analysis showed that PG height (r = 0.635, P < 0.01) and PG volume (r = 0.786, P < 0.01) were positively correlated with the GH peak level. Further analysis also demonstrated the differential diagnostic accuracy of PG height and PG volume, with high sensitivity (PG height: 66.3%; PG volume: 84.3%) and specificity (PG height: 85.2%; PG volume: 77.9%). Conclusion: pituitary gland height, PG volume, and the concave type of PG morphology may be very helpful in the differential diagnosis of GHD and ISS.

Electrochemical immunoplatform for the determination of multiple salivary biomarkers of oral diseases related to microbiome dysbiosis

Several diseases of the oral cavity are related to compositional and functional shifts in the oral microbiome. The analysis of saliva is an attractive alternative for the diagnosis and prognosis of these diseases. Samples can be obtained by no invasive procedures and processing is relatively simple. However, sensitive and selective analytical methods are needed to make the diagnosis as specific as possible. In this work, four salivary biomarkers of oral diseases: interleukin-6 (IL-6), receptor activator of NF-kB ligand (RANKL), protein arginine deiminase 4 (PAD4) and the corresponding antibody (anti-PAD-4) were selected as targets for their simultaneous determination using an electrochemical immunosensing platform. Sandwich-type amperometric immunoassays were implemented using horseradish peroxidase (HRP)/H2O2/hydroquinone (HQ) for application to the analysis of saliva of six volunteers. The developed method provides excellent sensitivity, selectivity, and wide linear ranges with LOD values of 0.09 pg mL−1 (IL-6), 0.10 pg mL−1 (RANKL); 0.09 ng mL−1(PAD4) and 14.5 ng mL−1 (anti-PAD4) and allows the accurate analysis of saliva without matrix effects, using 25 μL of raw sample. The developed methodology is competitive with commercial ELISA kits available only for a single biomarker determination, while the assay for the four biomarkers can be completed in less than two hours.