Plasmodium RON11 triggers biogenesis of the merozoite rhoptry pair and is essential for erythrocyte invasion.

Malaria is a global and deadly human disease caused by the apicomplexan parasites of the genus Plasmodium. Parasite proliferation within human red blood cells (RBCs) is associated with the clinical manifestations of the disease. This asexual expansion within human RBCs begins with the invasion of RBCs by P. falciparum, which is mediated by the secretion of effectors from 2 specialized club-shaped secretory organelles in merozoite-stage parasites known as rhoptries. We investigated the function of the Rhoptry Neck Protein 11 (RON11), which contains 7 transmembrane domains and calcium-binding EF-hand domains. We generated conditional mutants of the P. falciparum RON11. Knockdown of RON11 inhibits parasite growth by preventing merozoite invasion. The loss of RON11 did not lead to any defects in processing of rhoptry proteins but instead led to a decrease in the amount of rhoptry proteins. We utilized ultrastructure expansion microscopy (U-ExM) to determine the effect of RON11 knockdown on rhoptry biogenesis. Surprisingly, in the absence of RON11, fully developed merozoites had only 1 rhoptry each. The single rhoptry in RON11-deficient merozoites were morphologically typical with a bulb and a neck oriented into the apical polar ring. Moreover, rhoptry proteins are trafficked accurately to the single rhoptry in RON11-deficient parasites. These data show that in the absence of RON11, the first rhoptry is generated during schizogony but upon the start of cytokinesis, the second rhoptry never forms. Interestingly, these single-rhoptry merozoites were able to attach to host RBCs but are unable to invade RBCs. Instead, RON11-deficient merozoites continue to engage with RBC for prolonged periods eventually resulting in echinocytosis, a result of secreting the contents from the single rhoptry into the RBC. Together, our data show that RON11 triggers the de novo biogenesis of the second rhoptry and functions in RBC invasion.

Progression in central blood pressure and hemodynamic parameters and relationship with cardiovascular risk factors in a Spanish population. EVA follow-up study.

BACKGROUND: The progression of Central Blood Pressure (CBP) values and central hemodynamic parameters and its relationship with cardiovascular risk factors is quite unknown. We sought to investigate this association in a Spanish adult population without cardiovascular diseases. METHODS: Prospective observational research with a five-year follow-up. Randomly sampled 501 individuals (mean age 56±14 years, 50.3% women). After five years, 480 individuals had a follow-up. Measurements taken using the SphygmoCor® (AtCor Medical Pty Ltd., Head Office,West Ryde, Australia), following all the recommendations established in the "International task force"1, giving an estimate of central blood pressure relative to measured brachial blood pressure (type 1 device). RESULTS: Progressions during follow-up: central systolic blood pressure (cSBP): 4.16±13.71 mmHg; central diastolic blood pressure (cDBP): 2.45±11.37 mmHg; central pulse pressure (cPP): 1.72±12.43 mmHg; pulse pressure amplification (PPA): 2.85±12.20 mmHg; ejection duration (ED): 7.00±47.87 ms; subendocardial viability ratio (SEVR): -8.04±36.24%. In multiple regression analysis: cSBP positively associated with: BMI (ß=0.476); waist size (ß=0.159); number of cigarettes per day (ß=0.192). Inversely associated with peripheral systolic blood pressure (ß=-0.282). cDBP increase positively associated with number of cigarettes per day (ß=0.174). Inversely associated with peripheral diastolic blood pressure (ß=-0.292). cPP increase positively associated with BMI (ß=0.330). Inversely associated with peripheral pulse pressure (ß=-0.262). PPA increase positively associated with: BMI (ß=0.276); number of cigarettes per day (ß=0.281). ED progress inversely associated with basal plasma glucose (ß=-0.286). CONCLUSIONS: All measures increased except for SEVR. Progressions in CBP and PPA were positively associated with anthropometric parameters and number of cigarettes and CBP inversely associated with peripheral blood pressure, although this association was different according to sex.

Dynamic factors driving PM2.5 concentrations: Fresh evidence at the global level.

This paper analyzes the dynamic impact of economic, social, and governance factors on PM2.5 concentrations in 89 countries from 2006 to 2019. Using the GMM-PVAR approach and Impulse-Response Functions, we examine how shocks to specific variables affect PM2.5 concentrations over a 10-year period. Our findings reveal that the influence of these factors on PM2.5 levels varies over time. For example, a shock in urbanization has no effect on PM2.5 concentrations in the first year, but in the second year, pollution increases significantly. In the third period, PM2.5 levels decrease, but they rise again in the fourth period, albeit not significantly. By the fifth period, pollution decreases until a new equilibrium is reached in the sixth period. Additionally, a shock in financial development, government effectiveness, industrialization, trade openness, or GDP has no effect on PM2.5 concentrations in the initial period. However, during the second period, air pollution decreases, followed by an increase in the third period and a decrease again in the fourth period. These dynamic patterns highlight the need for environmental policies that consider the evaluation time horizon. Our analysis is supplemented by the Granger causality test, guiding specific policy recommendations based on our findings.

Integrating Prime Editing and Cellular Reprogramming as Novel Strategies for Genetic Cardiac Disease Modeling and Treatment.

PURPOSE OF REVIEW: This review aims to evaluate the potential of CRISPR-based gene editing tools, particularly prime editors (PE), in treating genetic cardiac diseases. It seeks to answer how these tools can overcome current therapeutic limitations and explore the synergy between PE and induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) for personalized medicine. RECENT FINDINGS: Recent advancements in CRISPR technology, including CRISPR-Cas9, base editors, and PE, have demonstrated precise genome correction capabilities. Notably, PE has shown exceptional precision in correcting genetic mutations. Combining PE with iPSC-CMs has emerged as a robust platform for disease modeling and developing innovative treatments for genetic cardiac diseases. The review finds that PE, when combined with iPSC-CMs, holds significant promise for treating genetic cardiac diseases by addressing their root causes. This approach could revolutionize personalized medicine, offering more effective and precise treatments. Future research should focus on refining these technologies and their clinical applications.

Accelerated Chemical Shift Encoded Cardiac MRI with Use of Resolution Enhancement Network.

BACKGROUND: Cardiovascular magnetic resonance (CMR) chemical shift encoding (CSE) enables myocardial fat imaging. We sought to develop a deep learning network (FastCSE) to accelerate CSE. METHODS: FastCSE was built on a super-resolution generative adversarial network extended to enhance complex-valued image sharpness. FastCSE enhances each echo image independently before water-fat separation. FastCSE was trained with retrospectively identified cines from 1519 patients (56 ± 16 years; 866 men) referred for clinical 3T CMR. In a prospective study of 16 participants (58 ± 19 years; 7 females) and 5 healthy individuals (32 ± 17 years; 5 females), dual-echo CSE images were collected with 1.5 × 1.5mm2, 2.5 × 1.5 mm2, and 3.8 × 1.9mm2 resolution using generalized autocalibrating partially parallel acquisition (GRAPPA). FastCSE was applied to images collected with resolution of 2.5 × 1.5mm2 and 3.8 × 1.9 mm2 to restore sharpness. Fat images obtained from two-point Dixon reconstruction were evaluated using a quantitative blur metric and analyzed with 5-way analysis of variance. RESULTS: FastCSE successfully reconstructed CSE images inline. FastCSE acquisition, with a resolution of 2.5 × 1.5mm² and 3.8 × 1.9 mm², reduced the number of breath-holds without impacting visualization of fat by approximately 1.5-fold and 3-fold compared to GRAPPA acquisition with a resolution of 1.5 × 1.5 mm², from 3.0 ± 0.8 breath-holds to 2.0 ± 0.2 and 1.1 ± 0.4 breath-holds, respectively. FastCSE improved image sharpness and removed ringing artifacts in GRAPPA fat images acquired with a resolution of 2.5 × 1.5 mm2 (0.31 ± 0.03 vs. 0.35 ± 0.04, P < 0.001) and 3.8 × 1.9 mm2 (0.31 ± 0.03 vs. 0.42 ± 0.06, P < 0.001). Blurring in FastCSE images was similar to blurring in images with 1.5 × 1.5 mm² resolution (0.32 ±0.03 vs. 0.31 ± 0.03, P = 0.78; 0.32 ± 0.03 vs. 0.31 ± 0.03, P = 0.90). CONCLUSION: We showed that a deep learning-accelerated CSE technique based on complex-valued resolution enhancement can reduce the number of breath-holds in CSE imaging without impacting the visualization of fat. FastCSE showed similar image sharpness compared to a standardized parallel imaging method.

Optimizing resistance training intensity in supportive care for survivors of breast cancer: velocity-based approach in the row exercise.

PURPOSE: Resistance training mitigates side effects during and after cancer treatment. To provide a new approach for precisely and safely assessing and prescribing the intensity of resistance training in supportive cancer care, the purpose of this study was to evaluate the load-velocity relationship during the row exercise in women survivors of breast cancer. METHODS: Twenty women survivors of breast cancer who had undergone surgery and had completed core breast cancer treatment within the previous 10 years completed an incremental loading test until the one repetition maximum (1RM) in the row exercise. The velocity was measured during the concentric phase of each repetition with a linear velocity transducer, and their relationship with the relative load was analyzed by linear and polynomial regression models. RESULTS: A strong relationship was observed between movement velocity and relative load for all measured velocity variables using linear and polynomial regression models (R2 > 0.90; SEE < 6.00%1RM). The mean velocity and mean propulsive velocity of 1RM was 0.40 ± 0.03 m·s-1, whereas the peak velocity at 1RM was 0.64 ± 0.07 m·s1. CONCLUSION: In women survivors of breast cancer, monitoring movement velocity during the row exercise can facilitate precise assessment and prescription of resistance training intensity in supportive cancer care.

On RNA-programmable gene modulation as a versatile set of principles targeting muscular dystrophies.

The repurposing of RNA-programmable CRISPR systems from genome editing into epigenome editing tools is gaining pace, including in research and development efforts directed at tackling human disorders. This momentum stems from the increasing knowledge regarding the epigenetic factors and networks underlying cell physiology and disease etiology and from the growing realization that genome editing principles involving chromosomal breaks generated by programmable nucleases are prone to unpredictable genetic changes and outcomes. Hence, engineered CRISPR systems are serving as versatile DNA-targeting scaffolds for heterologous and synthetic effector domains that, via locally recruiting transcription factors and chromatin remodeling complexes, seek interfering with loss-of-function and gain-of-function processes underlying recessive and dominant disorders, respectively. Here, after providing an overview about epigenetic drugs and CRISPR-Cas-based activation and interference platforms, we cover the testing of these platforms in the context of molecular therapies for muscular dystrophies. Finally, we examine attributes, obstacles, and deployment opportunities for CRISPR-based epigenetic modulating technologies.

Hypoxic Cardioprotection by New Antihypertensive Compounds in High Salt-Diet Hypertensive Rats: Glucose Transport Participation and Its Possible Pathway.

Hypertension (HP) is a health condition that overloads the heart and increases the risk of heart attack and stroke. In an infarction, the lack of oxygen causes an exclusive use of glycolysis, which becomes a crucial source of ATP for the heart with a higher glucose uptake mediated by glucose transporters (GLUTs). Due to the unpleasant effects of antihypertensives, new drugs need to be researched to treat this disease. This study aimed to evaluate the cardioprotective effect of three novel antihypertensive compounds (LQMs, "Laboratorio de Química Medicinal") synthesized from Changrolin under hypoxic conditions with the participation of two primary cardiac GLUT1 and GLUT4 using a high-salt diet HP model. The model used a diet with 10% salt to increase arterial blood pressure in Wistar rats. In isolated cardiomyocytes from these rats, glucose uptake was measured during hypoxia, evaluating the participation of GLUTs with or without the animals' previous treatment with LQM312, 319, and 345 compounds. In silico calculations were performed to understand the affinity of the compounds for the trafficking of GLUTs. Results: Control cells do shift to glucose uptake exclusively in hypoxia (from 1.84 ± 0.09 µg/g/h to 2.67 ± 0.1 µg/g/h). Meanwhile, HP does not change its glucose uptake (from 2.38 ± 0.24 µg/g/h to 2.33 ± 0.26 µg/g/h), which is associated with cardiomyocyte damage. The new compounds lowered the systolic blood pressure (from 149 to 120 mmHg), but only LQM312 and LQM319 improved the metabolic state of hypoxic cardiomyocytes mediated by GLUT1 and GLUT4. In silico studies suggested that Captopril and LQM312 may mimic the interaction with the AMPK γ-subunit. Therefore, these compounds could activate AMPK, promoting the GLUT4 trafficking signaling pathway. These compounds are proposed to be cardioprotective during hypoxia under HP.

Influence of polystyrene nanoplastics on the toxicity of haloperidol to amphibians: An in vivo and in vitro approach.

Chemical pollution is a major driver for the current worldwide crisis of amphibian decline. The present study aimed to assess the influence of polystyrene nanoplastics (PS-NPLs) on the toxicity of haloperidol to aquatic life stages of amphibians, by using in vivo (tadpoles of Xenopus laevis and Pelophylax perezi) and in vitro (A6 and XTC-2 cell lines of X. laevis) biological models. Tadpoles of both species were exposed, for 96 h, to haloperidol: 0.404 to 2.05 mg l-1 (X. laevis) or 0.404 to 3.07 mg L-1 (P. perezi). The most sensitive species to haloperidol (X. laevis) was exposed to haloperidol's LC50,96h combined with two PS-NPLs concentrations (0.01 mg L-1 or 10 mg L-1); the following endpoints were monitored: mortality, malformations, body lengths and weight. In vitro cytotoxicity was assessed by exposing the two cell lines, for 72 h, to: haloperidol (0.195 to 100 mg L-1) alone and combined with 0.01 mg L-1 or 10 mg L-1 of PS-NPLs. Xenopus laevis tadpoles revealed a higher lethal and sublethal sensitivity to haloperidol than those of P. perezi, with LC50,96h of 1.45 and 2.20 mg L-1. In vitro assays revealed that A6 cell line is more sensitive haloperidol than XTC-2: LC50,72h of 13.2 mg L-1 and 5.92 mg L-1, respectively. Results also suggested a higher sensitivity of in vivo models when compared to in vitro biological. Overall, PS-NPLs did not influence haloperidol's toxicity for in vivo and in vitro biological models, except for a reduction on the incidence of malformations while increasing the lethal toxicity (at the lowest concentration) in tadpoles. These opposite interaction patterns highlight the need for a deeper comprehension of NPLs and pharmaceuticals interactions. Results suggest a low risk of haloperidol for anuran tadpoles, though in the presence of PS-NPLs the risk may be increased.

The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic.

The One Health approach, recognizing the interconnectedness of human, animal, and environmental health, has gained significance amid emerging zoonotic diseases and antibiotic resistance concerns. This paper aims to demonstrate the utility of a collaborative tool, the SIEGA, for monitoring infectious diseases across domains, fostering a comprehensive understanding of disease dynamics and risk factors, highlighting the pivotal role of One Health surveillance systems. Raw whole-genome sequencing is processed through different species-specific open software that additionally reports the presence of genes associated to anti-microbial resistances and virulence. The SIEGA application is a Laboratory Information Management System, that allows customizing reports, detect transmission chains, and promptly alert on alarming genetic similarities. The SIEGA initiative has successfully accumulated a comprehensive collection of more than 1900 bacterial genomes, including Salmonella enterica, Listeria monocytogenes, Campylobacter jejuni, Escherichia coli, Yersinia enterocolitica and Legionella pneumophila, showcasing its potential in monitoring pathogen transmission, resistance patterns, and virulence factors. SIEGA enables customizable reports and prompt detection of transmission chains, highlighting its contribution to enhancing vigilance and response capabilities. Here we show the potential of genomics in One Health surveillance when supported by an appropriate bioinformatic tool. By facilitating precise disease control strategies and antimicrobial resistance management, SIEGA enhances global health security and reduces the burden of infectious diseases. The integration of health data from humans, animals, and the environment, coupled with advanced genomics, underscores the importance of a holistic One Health approach in mitigating health threats.

Mexican national dietary guidelines promote less costly and environmentally sustainable diets.

The 2023 Mexican Healthy and Sustainable Dietary Guidelines (HSDG 2023) were developed to include all dimensions of sustainability. Here we compare the environmental impact and cost of diets based on the HSDG 2023, current diets and the Mexican-adapted EAT healthy reference diet. Diets following HSDG 2023 are 21% less expensive, require 30% less land to be produced and have 34% less carbon emissions than current diets-particularly in Mexico City and other urban areas with higher prevalence of Westernized diets. This is driven by reduced animal-source food, especially red meat, and ultra-processed foods. In south-rural areas, the water footprint and cost of diets following HSDG 2023 were higher than those of current diets owing to increased intake of nuts, fruits and vegetables not offset by lower meat consumption (which is already close to recommendations). Diet environmental impact and cost could be further reduced with the Mexican-adapted EAT healthy reference diet compared with the HSDG 2023.

Assessing Full Stomach Prevalence with Ultrasound Following Preoperative Fasting in Diabetic Patients with Dysautonomia: A Comparative Observational Study.

BACKGROUND: Traditionally, diabetics have been considered patients with a high risk of aspiration due to having delayed gastric emptying; However, the evidence concerning residual gastric volume (GV) in fasting diabetic patients is inconsistent. This study aimed to compare the fasting GV of diabetic patients with or without dysautonomia with control patients scheduled for elective surgery using gastric ultrasound. METHODS: This bicentric prospective single-blinded case-control study was conducted at 2 university hospitals in Spain. Patients aged over 18 years, classified as American Society of Anesthesiologists (ASA) physical statuses I to III and having similar fasting statuses, were included in the study. The primary outcome was to compare the prevalence of risk stomach using the Perlas gastric content grading scale evaluated by ultrasound in the 3 groups. Secondary outcomes included the measurement of cross-sectional area (CSA) and GV in the right lateral decubitus (RLD) position, as well as the prevalence of solid gastric residue. RESULTS: A total of 289 patients were recruited for the study, comprising 145 diabetic patients (83 of whom had dysautonomia) and 144 patients in the control group. The percentage of patients classified as Perlas grade 2 was 13.2% in the control group, 16.1% in diabetic patients without dysautonomia, and 22.9% in diabetic patients with dysautonomia (P = .31). Antral CSA was significantly higher in diabetic patients with dysautonomia (6.5 [4.8-8.4]) compared to the control group (5.4 [4.0-7.2]; P = .04). However, no significant differences were observed between groups in residual GV. Among diabetic patients with dysautonomia, 12% exhibited solid gastric residue, which was twice the percentage observed in diabetic patients without dysautonomia (4.8%) and 3 times higher than that in the control group (3.5%; P = .03). The presence of dysautonomia was associated with an increased odds ratio of solid gastric residue (odds ratio [OR], 3.37; 95% confidence interval [CI], 1.28-8.87; P = .01) after adjusting for confounding factors. CONCLUSIONS: This study offers insights into the relationship between dysautonomia in patients with diabetes mellitus and the presence of full stomach, underscoring the significance of preoperative gastric ultrasound evaluation in managing perioperative risks in this population.

The NR4A2/VGF pathway fuels inflammation-induced neurodegeneration via promoting neuronal glycolysis.

A disturbed balance between excitation and inhibition (E/I balance) is increasingly recognized as a key driver of neurodegeneration in multiple sclerosis (MS), a chronic inflammatory disease of the central nervous system. To understand how chronic hyperexcitability contributes to neuronal loss in MS, we transcriptionally profiled neurons from mice lacking inhibitory metabotropic glutamate signaling with shifted E/I balance and increased vulnerability to inflammation-induced neurodegeneration. This revealed a prominent induction of the nuclear receptor NR4A2 in neurons. Mechanistically, NR4A2 increased susceptibility to excitotoxicity by stimulating continuous VGF secretion leading to glycolysis-dependent neuronal cell death. Extending these findings to people with MS (pwMS), we observed increased VGF levels in serum and brain biopsies. Notably, neuron-specific deletion of Vgf in a mouse model of MS ameliorated neurodegeneration. These findings underscore the detrimental effect of a persistent metabolic shift driven by excitatory activity as a fundamental mechanism in inflammation-induced neurodegeneration.

Genotypic characterization and antimicrobial susceptibility of human Campylobacter jejuni isolates in Southern Spain.

Campylobacter jejuni is the main cause of bacterial gastroenteritis and a public health problem worldwide. Little information is available on the genotypic characteristics of human C. jejuni in Spain. This study is based on an analysis of the resistome, virulome, and phylogenetic relationship, antibiogram prediction, and antimicrobial susceptibility of 114 human isolates of C. jejuni from a tertiary hospital in southern Spain from October 2020 to June 2023. The isolates were sequenced using Illumina technology, and a bioinformatic analysis was subsequently performed. The susceptibility of C. jejuni isolates to ciprofloxacin, tetracycline, and erythromycin was also tested. The resistance rates for each antibiotic were 90.3% for ciprofloxacin, 66.7% for tetracycline, and 0.88% for erythromycin. The fluoroquinolone resistance rate obtained is well above the European average (69.1%). CC-21 (n = 23), ST-572 (n = 13), and ST-6532 (n = 13) were the most prevalent clonal complexes (CCs) and sequence types (STs). In the virulome, the cadF, ciaB, and cdtABC genes were detected in all the isolates. A prevalence of 20.1% was obtained for the genes wlaN and cstIII, which are related to the pathogenesis of Guillain-Barré syndrome (GBS). The prevalence of the main antimicrobial resistance markers detected were CmeABC (92.1%), RE-cmeABC (7.9%), the T86I substitution in gyrA (88.9%), blaOXA-61 (72.6%), tet(O) (65.8%), and ant (6)-Ia (17.1%). High antibiogram prediction rates (>97%) were obtained, except for in the case of the erythromycin-resistant phenotype. This study contributes significantly to the knowledge of C. jejuni genomics for the prevention, treatment, and control of infections caused by this pathogen.IMPORTANCEDespite being the pathogen with the greatest number of gastroenteritis cases worldwide, Campylobacter jejuni remains a poorly studied microorganism. A sustained increase in fluoroquinolone resistance in human isolates is a problem when treating Campylobacter infections. The development of whole genome sequencing (WGS) techniques has allowed us to better understand the genotypic characteristics of this pathogen and relate them to antibiotic resistance phenotypes. These techniques complement the data obtained from the phenotypic analysis of C. jejuni isolates. The zoonotic transmission of C. jejuni through the consumption of contaminated poultry supports approaching the study of this pathogen through "One Health" approach. In addition, due to the limited information on the genomic characteristics of C. jejuni in Spain, this study provides important data and allows us to compare the results with those obtained in other countries.

The highly dynamic satellitomes of cultivated wheat species.

BACKGROUND AND AIMS: Durum wheat, Triticum turgidum, and bread wheat, Triticum aestivum, are two allopolyploid species of very recent origin that have been subjected to intense selection programs during the thousands of years they have been cultivated. In this paper, we study the durum wheat satellitome and establish a comparative analysis with the previously published bread wheat satellitome. METHODS: We revealed the durum wheat satellitome using the satMiner protocol which is based on consecutive rounds of clustering of Illumina reads by RepeatExplorer2, and estimated abundance and variation for each identified satDNA with RepeatMasker v4.0.5. We have also performed a deep satDNA families characterization including chromosomal location by Fluorescence In Situ Hybridization (FISH) in durum wheat and its comparison with FISH patterns in bread wheat. Basic Local Alignment Search Tool (BLAST®) was used for trailing each satDNA in the assembly of durum wheat genome through NCBI's Genome Data Viewer (GDW) and the genome assemblies of both species were compared. Sequence divergence and consensus turnover rate (CTR) between homologous satDNA families of durum and bread wheat were estimated using MEGA11. KEY RESULTS: This study reveals that in an exceedingly short period, significant qualitative and quantitative changes have occurred in the set of satellite DNAs (satDNAs) of both species, with expansions/contractions of the number of repeats and the loci per satellite, different in each species, and a high rate of sequence change for most of these satellites, in addition to the emergence/loss of satDNAs not shared between the two species analysed. These evolutionary changes in satDNA are common between species but what is truly remarkable and novel about this study is that these processes have taken place in less than the last ~8000 years separating the two species, indicating an accelerated evolution of their satDNAs. CONCLUSIONS: These results, together with the relationship of many of these satellites with transposable elements and the polymorphisms they generate at the level of centromeres and subtelomeric regions of their chromosomes, are analysed and discussed in the context of the evolutionary origin of these species and the selection pressure exerted by man throughout the history of their cultivation.

Role of Non-Residential Larval Habitats in Aedes Spatiotemporal Egg Production.

Aedes mosquitoes play a pivotal role as vectors of several arboviral diseases, presenting significant public health challenges worldwide. Their invasive success in tropical regions has raised substantial medical concerns. In Guatemala, Aedes mosquitoes are widely distributed and are the primary vectors of the dengue virus. Efforts to control and monitor Aedes populations have evolved over time, incorporating strategies such as spatial repellents, larvicides, genetic modifications, and targeted interventions. Previous research has shown the heterogeneous spatial-temporal distribution of these mosquitoes within each season, influenced by temperature variations and favorable environmental conditions for breeding. This study analyzed hot-spot patterns of spatiotemporal egg density in Santa Elena de la Cruz, Petén, Guatemala, from March to September 2022. The aim was to determine whether these patterns were influenced by non-residential larval habitats with plant cover that are not treated by healthcare entities, as well as the proximity between such habitats. Our findings include the collection and registration of over 16,000 Aedes eggs during the study period. Local analyses revealed hot-spot patterns in egg densities associated with non-residential larval habitats and their proximity. These insights highlight critical focal points where targeted interventions could be implemented more effectively, resulting in cost-efficient mosquito vector control.