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Retinoblastoma protein is central in signaling networks of fundamental cell decisions such as proliferation and differentiation in all metazoans and cancer development. Immunostaining and biochemical evidence demonstrated that during interphase retinoblastoma protein is in the nucleus and is hypophosphorylated, and during mitosis is in the cytoplasm and is hyperphosphorylated. The purpose of this study was to visualize in vivo in a non-diseased tissue, the dynamic spatial and temporal nuclear exit toward the cytoplasm of this protein during mitosis and its return to the nucleus to obtain insights into its potential cytosolic functions. Using high-resolution time-lapse images from confocal microscopy, we tracked in vivo the ortholog in plants the RETINOBLASTOMA RELATED (RBR) protein tagged with Green Fluorescent Protein (GFP) in Arabidopsis thaliana's root. RBR protein exits from dense aggregates in the nucleus before chromosomes are in prophase in less than 2 min, spreading outwards as smaller particles projected throughout the cytosol during mitosis like a diffusive yet controlled event until telophase, when the daughter's nuclei form; RBR returns to the nuclei in coordination with decondensing chromosomal DNA forming new aggregates again in punctuated larger structures in each corresponding nuclei. We propose RBR diffused particles in the cytoplasm may function as a cytosolic sensor of incoming signals, thus coordinating re-aggregation with DNA is a mechanism by which any new incoming signals encountered by RBR may lead to a reconfiguration of the nuclear transcriptomic context. The small RBR diffused particles in the cytoplasm may preserve topologic-like properties allowing them to aggregate and restore their nuclear location, they may also be part of transient cytoplasmic storage of the cellular pre-mitotic transcriptional context, that once inside the nuclei may execute both the pre mitosis transcriptional context as well as new transcriptional instructions.

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Gastric cancer (GC) remains a significant global health challenge, with high mortality rates, especially in developing countries. Current treatments are invasive and have considerable risks, necessitating the exploration of safer alternatives. Quercetin (QRC), a flavonoid present in various plants and foods, has demonstrated multiple health benefits, including anticancer properties. This study investigated the therapeutic potential of QRC in the treatment of GC. We utilized advanced molecular techniques to assess the impact of QRC on GC cells, examining its effects on cellular pathways and gene expression. Our findings indicate that QRC significantly inhibits GC cell proliferation and induces apoptosis, suggesting its potential as a safer therapeutic option for GC treatment. Further research is required to validate these results and explore the clinical applications of QRC in cancer therapy.

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To understand microbial metabolism in horticultural soils exposed to pesticides, genome sequencing of Bacillus subtilis sp. strain UAMC was performed. A total of 7,892 genes distributed across 40 contigs were identified. Among these, those related to the degradation of endosulfan such as FMNH2 monooxygenase, or cytochrome p450 stand out.

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The global presence of pharmaceutical pollutants in water sources represents a burgeoning public health concern. Recent studies underscore the urgency of addressing this class of emerging contaminants. In this context, our work focuses on synthesizing a composite material, FexOy/MAF-32, through a streamlined one-pot reaction process, as an adsorbent for diclofenac, an emerging environmental contaminant frequently found in freshwater environments and linked to potential toxicity towards several organisms such as fish and mussels. A thorough characterization was performed to elucidate the structural composition of the composite. The material presents magnetic properties attributed to its superparamagnetic behavior, which facilitates the recovery efficiency of the composite post-diclofenac adsorption. Our study further involves a comparative analysis between the FexOy/MAF-32 and a non-magnetic counterpart, comprised solely of 2-ethylimidazolate zinc polymer. This comparison aims to discern the relative advantages and disadvantages of incorporating magnetic iron oxide nanoparticles in the contaminant removal process facilitated by a coordination polymer. Our findings reveal that even a minimal incorporation of iron oxide nanoparticles substantially enhanced the composite's overall performance in pollutant adsorption.

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BACKGROUND: Loxoscelism is a toxic clinical condition caused by the bite of spiders of the genus Loxosceles, with wide distribution throughout the world.1 Phospholipase D is responsible for dermonecrosis, inflammation, platelet aggregation, hemolysis, alteration of vascular permeability, cytotoxicity, nephrotoxicity, acute renal failure, among other symptoms involved with this protein. CASE REPORT: 27-year-old male patient, who began with a sudden episode of intense pain in the right hand, in the metacarpus and metacarpophalangeal joints. On clinical examination, the upper extremity was noted to have increased volume, extensive edema, hyperemia, and increased local temperature; The lesion progressed to extensive necrosis. Fasciotomies were performed, from distal to proximal, and release of the second and third finger compartment through longitudinal radial and ulnar incisions. A skin autograft was placed, obtained from the anterior surface of the right thigh. Opioid analgesics, non-steroidal anti-inflammatory drugs, corticosteroids, and antibiotics were administered. The skin biopsy reported: inflammatory infiltrate with neutrophils, ulceration, and bacterial colonies. After 27 days he had a favorable evolution, so he was discharged to his home, with follow-up by staff from the Outpatient Service. CONCLUSION: Cutaneous loxoscelism, as a cause of acute compartment syndrome of the hand, is rare, but should be considered in an area endemic for Loxosceles spp. Surgical decompression of the affected compartments represents a decisive factor in the treatment of patients.

ANTECEDENTES: El loxoscelismo es un cuadro clínico tóxico provocado por la mordedura de arañas del género Loxosceles, con amplia distribución en todo el mundo.1 La fosfolipasa D es la responsable de la dermonecrosis, inflamación, agregación plaquetaria, hemólisis, alteración de la permeabilidad vascular, citotoxicidad, nefrotoxicidad, insuficiencia renal aguda, entre otros síntomas implicados con esta proteína. REPORTE DE CASO: Paciente masculino de 27 años, que inició con un cuadro repentino de dolor intenso en la mano derecha, en el metacarpo y las articulaciones metacarpofalángicas. Al examen clínico, la extremidad superior se percibió con aumento de volumen, edema extenso, hiperemia y aumento de la temperatura local; la lesión progresó a necrosis extensa. Se realizaron fasciotomías, de distal a proximal, y liberación del compartimento del segundo y tercer dedo a través de incisiones longitudinales radiales y cubitales. Se colocó un autoinjerto de piel, obtenido de la superficie anterior del muslo derecho. Se administraron analgésicos opioides, antiinflamatorios no esteroides, corticosteroides y antibióticos. La biopsia de piel reporto: infiltrado inflamatorio con neutrófilos, ulceración y colonias bacterianas. Luego de 27 días tuvo evolución favorable, por lo que se dio alta a su domicilio, con seguimiento por personal del servicio de Consulta externa. CONCLUSIÓN: El loxoscelismo cutáneo, como causa de síndrome compartimental agudo de la mano, es poco común, pero debe considerarse en un área endémica para Loxosceles spp. La descompresión quirúrgica de los compartimentos afectados representa un factor decisivo en el tratamiento de los pacientes.

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Epilepsy is a neurological disease with one of the highest rates of incidence worldwide. Although EEG is a crucial tool for its diagnosis, the manual detection of epileptic seizures is time consuming. Automated methods are needed to streamline this process; although there are already several works that have achieved this, the process by which it is executed remains a black box that prevents understanding of the ways in which machine learning algorithms make their decisions. A state-of-the-art deep learning model for seizure detection and three EEG databases were chosen for this study. The developed models were trained and evaluated under different conditions (i.e., three distinct levels of overlap among the chosen EEG data windows). The classifiers with the best performance were selected, then Shapley Additive Explanations (SHAPs) and Local Interpretable Model-Agnostic Explanations (LIMEs) were employed to estimate the importance value of each EEG channel and the Spearman's rank correlation coefficient was computed between the EEG features of epileptic signals and the importance values. The results show that the database and training conditions may affect a classifier's performance. The most significant accuracy rates were 0.84, 0.73, and 0.64 for the CHB-MIT, Siena, and TUSZ EEG datasets, respectively. In addition, most EEG features displayed negligible or low correlation with the importance values. Finally, it was concluded that a correlation between the EEG features and the importance values (generated by SHAP and LIME) may have been absent even for the high-performance models.

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BACKGROUND: Hospitalizations for ambulatory care sensitive conditions (ACSC) incur substantial costs on the health system that could be partially avoided with adequate outpatient care. Complications of chronic diseases, such as diabetes mellitus (DM), are considered ACSC. Previous studies have shown that hospitalizations due to diabetes have a significant financial burden. In Mexico, DM is a major health concern and a leading cause of death, but there is limited evidence available. This study aimed to estimate the direct costs of hospitalizations by DM-related ACSC in the Mexican public health system. METHODS: We selected three hospitals from each of Mexico's main public institutions: the Mexican Social Security Institute (IMSS), the Ministry of Health (MoH), and the Institute of Social Security and Services for State Workers (ISSSTE). We employed a bottom-up microcosting approach from the healthcare provider perspective to estimate the total direct costs of hospitalizations for DM-related ACSC. Input data regarding length of stay (LoS), consultations, medications, colloid/crystalloid solutions, procedures, and laboratory/medical imaging studies were obtained from clinical records of a random sample of 532 hospitalizations out of a total of 1,803 DM-related ACSC (ICD-10 codes) discharges during 2016. RESULTS: The average cost per DM-related ACSC hospitalization varies among institutions, ranging from $1,427 in the MoH to $1,677 in the IMSS and $1,754 in the ISSSTE. The three institutions' largest expenses are LoS and procedures. Peripheral circulatory and renal complications were the major drivers of hospitalization costs for patients with DM-related ACSC. Direct costs due to hospitalizations for DM-related ACSC in these three institutions represent 1% of the gross domestic product (GDP) dedicated to health and social services and 2% of total hospital care expenses. CONCLUSIONS: The direct costs of hospitalizations for DM-related ACSC vary considerably across institutions. Disparities in such costs for the same ACSC among different institutions suggest potential disparities in care quality across primary and hospital settings (processes and resource utilization), which should be further investigated to ensure optimal supply utilization. Prioritizing preventive measures for peripheral circulatory and renal complications in DM patients could be highly beneficial.

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OBJECTIVE: Periodontitis ranks sixth as a type 2 diabetes (T2D) complication. According to its severity, it may cause pain, discomfort and tooth loss. The aim of this study was to evaluate the impact of self-reported periodontal status on the Oral Health Related Quality of Life (OHRQoL) of people with T2D. METHODS: A cross-sectional study was conducted involving seventy-nine adults with T2D who visited the Metabolic Syndrome clinic at the Cosío Villegas National Institute of Respiratory Diseases in Mexico City between August and November 2010. The OHRQoL was evaluated with the shortened Oral Health Impact Profile (OHIP-EE14). Periodontitis was measured by self-report, probing depth (PD), and clinical attachment loss (CAL). The association between self-reported periodontal status and OHRQoL was evaluated with binomial regression models. RESULTS: Mean age of the participants was 60,4 years (SD=9,6); diabetes duration was 10,1 years (SD=6,6). The OHRQoL was associated with self-perception of bad breath (RR=1,58; p=0,025), self-perception of poor gum health (RR=1,66; p=0,016), dissatisfaction with chewing ability (RR=2,22; p≤0,001), tooth loss due to mobility (RR=1,74; p=0,019), and presence of 20 teeth or less (RR=1,57; p=0,045). CONCLUSIONS: OHRQoL is associated with self-report of bad breath, poor gum health and dissatisfaction with chewing ability in people with T2D, which suggests that self-perceived oral conditions represent signs and symptoms of functional and psychological impairment related to severe periodontitis.

OBJECTIVE: La periodontitis es la sexta complicación de la diabetes tipo 2 (DT2); dependiendo de su severidad puede causar dolor, incomodidad o hasta pérdida dental. El objetivo del estudio fue evaluar el impacto del estado periodontal autorreportado en la Calidad de Vida Relacionada con la Salud Oral (CVRSO) en personas con DT2. METHODS: Se realizó un estudio transversal que incluyó a setenta y nueve adultos con DT2 atendidos en la Clínica de Síndrome Metabólico del Instituto Nacional de Enfermedades Respiratorias Cosío Villegas en la Ciudad de México, entre agosto y noviembre de 2010. La CVRSO se evaluó con el cuestionario Perfil de Impacto en la Salud Bucal acortado (OHIP-EE14). La periodontitis se evaluó por autorreporte, profundidad al sondeo (PS) y pérdida de inserción clínica (PIC). La asociación entre estado periodontal autorreportado y CVRSO se evaluó con modelos de regresión binomial negativa. RESULTS: La edad promedio fue de 60,4 años (DE=9,6); la duración de diabetes de 10,1 años (DE=6,6). La CVRSO se asoció con la autopercepción de mal aliento (RR=1,58, p=0,025), autopercepción de mala salud de las encías (RR=1,66, p=0,016), insatisfacción de la habilidad para masticar (RR=2,22, p≤0,001), pérdida de algún diente con movilidad previa (RR=1,74, p=0,019) y 20 dientes presentes o menos (RR=1,57, p=0,045). CONCLUSIONS: La CVRSO se asocia con el autorreporte de mal aliento, mala salud de las encías e insatisfacción de la habilidad para masticar en personas con DT2; esto sugiere que las condiciones bucales autopercibidas representan signos y síntomas de deterioro funcional y psicológico relacionados con la periodontitis severa.

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The utilization of food as a therapeutic measure for various ailments has been a prevalent practice throughout history and across different cultures. This is exemplified in societies where substances like Hibiscus sabdariffa have been employed to manage health conditions like hypertension and elevated blood glucose levels. The inherent bioactive compounds found in this plant, namely, delphinidin-3-sambubioside (DS3), quercetin (QRC), and hibiscus acid (HA), have been linked to various health benefits. Despite receiving individual attention, the specific molecular targets for these compounds remain unclear. In this study, computational analysis was conducted using bioinformatics tools such as Swiss Target Prediction, ShinnyGo 0.77, KEGG, and Stringdb to identify the molecular targets, pathways, and hub genes. Supplementary results were obtained through a thorough literature search in PubMed. DS3 analysis revealed potential genetic alterations related to the metabolism of nitrogen and glucose, inflammation, angiogenesis, and cell proliferation, particularly impacting the PI3K-AKT signaling pathway. QRC analysis demonstrated interconnected targets spanning multiple pathways, with some overlap with DS3 analysis and a particular focus on pathways related to cancer. HA analysis revealed distinct targets, especially those associated with pathways related to the nervous system. These findings emphasize the necessity for focused research on the molecular effects of DS3, QRC, and HA, thereby providing valuable insights into potential therapeutic pathways.

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OBJECTIVE: The COVID-19 pandemic has affected the mental health of populations around the world, but few longitudinal studies of its impact on suicidal thoughts and behaviors have been published especially from low- and middle-income countries. METHODS: This is a prospective cohort study of 1,385 first-year students from 5 Universities in Mexico followed-up for 1 year. We report 1-year cumulative incidence of suicidal thoughts and behaviors before (September 19, 2019-March 29, 2020) and during the COVID-19 period (March 30, 2020-June 30, 2020), focusing on those in the COVID-19 period with risk conditions and positive coping strategies during the pandemic. RESULTS: There was an increase in the incidence of suicidal ideation during the COVID-19 period compared to the pre-COVID-19 period (RR 1.65, 95%CI 1.08-2.50). This increase was mostly found among students with heightened sense of vulnerability (RR 1.95), any poor coping behavior (RR 2.40) and a prior mental disorder (RR 2.41). While we found no evidence of an increased risk of suicidal planning or attempts, there was evidence that those without lifetime mental health disorders were at greater risk of suicidal plans than those with these disorders especially if they had poor coping strategies (RR 3.14). CONCLUSION: In the short term, how students deal with the pandemic, being at high risk and having poor coping behavior, increased the new occurrence of suicidal thoughts and behaviors. Studies with longer follow-up and interventions to reduce or enhance these behaviors are needed.HIGHLIGHTSSuicidal ideation increased during the COVID-19 periodThose with heightened sense of vulnerability and poor coping were more affectedStudies with longer follow-up are needed.

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Developing ambulatory health services (AHS) of optimal quality is a pending issue for many health systems at a global level, especially in middle- and low-income countries. An effective health response requires indicators to measure the quality of care that are context-specific and feasible for routine monitoring. This paper aimed to design and validate indicators for assessing the technical and interpersonal quality dimensions for type 2 diabetes (T2D) and acute respiratory infections (ARI) care in AHS. The study was conducted in two stages. First, technical and user-centered-based indicators of quality of care for T2D and ARI care were designed following international recommendations, mainly from the American Diabetes Association standards and the National Institute for Health and Care Excellence guidelines. We then assessed the validity, reliability, relevance, and feasibility of the proposed indicators implementing the modified Delphi technique. A panel of 17 medical experts from five countries scored the indicators using two electronic questionnaires, one for each reason for consultation selected, sent by email in two sequential rounds of rating. We defined the levels of consensus according to the overall median for each performance category, which was established as the threshold. Selected indicators included those with scores equal to or higher than the threshold. We designed 36 T2D indicators, of which 16 were validated for measuring the detection of risks and complications, glycemic control, pharmacological treatment, and patient-centered care. Out of the 22 indicators designed for ARI, we validated 10 for diagnosis, appropriate prescription of antimicrobials, and patient-centered care. The validated indicators showed consistency for the dimensions analyzed. Hence, they proved to be a potentially reliable and valuable tool for monitoring the performance of the various T2D and ARI care processes in AHS. Further research will be needed to verify the applicability of the validated indicators in routine clinical practice.

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Sargassum spp. flood the Caribbean coastline, causing damage to the local economy and environment. Anaerobic digestion (AD) has been proposed as an attractive option for turning macroalgae into valuable resources. Sargassum spp. has a complex composition that affects the microbial composition involved in AD which generates a low methane yield. This study aimed to improve the methane yield of pelagic Sargassum, using different energy-saving pretreatments and identifying the microbial community associated with methane production. We applied different energy-saving pretreatments to algal biomass and assessed the methane yield using a biomethane potential (BMP) test. The microbial communities involved in the AD of the best- and worst-performing methanogenic systems were analyzed by high-throughput sequencing. The results showed that pretreatment modified the content of inorganic compounds, fibers, and the C:N ratio, which had a strong positive correlation with BMP. The water washing pretreatment resulted in the best methane yield, with an increase of 38%. DNA metabarcoding analysis revealed that the bacterial genera Marinilabiliaceae_uncultured, DMER64, Treponema, and Hydrogenispora, as well as the archaea genera Methanosarcina, RumEn_M2, Bathyarchaeia, and Methanomassiliicocus, dominated the microbial community with a high methane yield. This study is the first to demonstrate the microbial community structure involved in the AD of Sargassum spp. The pretreatments presented in this study can help overcome the limitations associated with methane yield.

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The dolphinfish (Coryphaena hippurus) is a globally distributed marine predator that supports one of the most important coastal fisheries along the Eastern Tropical Pacific (ETP), but its spatial movements in this area are poorly understood. Stable isotope values (δ13 C and δ15 N) of white muscle from dolphinfish (n = 220) captured at different locations across the ETP (i.e., Mexico, Costa Rica, Ecuador, Peru and oceanic areas) were normalized to copepod baseline stable isotope values to estimate dolphinfish trophic position, movements and population dispersal. Movement or residence patterns were inferred from the difference in δ15 N values (Δ15 Ndolphinfish-copepod ‰) between copepods and dolphinfish muscle. Baseline corrected isotope values (δ13 Cdolphinfish-copepod and δ15 Ndolphinfish-copepod ) of dolphinfish muscle were used to estimate isotopic niche metrics and infer population dispersal across isoscapes. Values of δ13 C and δ15 N differed between juvenile and adult dolphinfish and across the ETP. Trophic position estimates ranged from 3.1 to 6.0 with a mean of 4.6. Adults and juveniles had similar trophic position estimates, whereas isotopic niche areas (SEA ‰2 ) of adults were greater relative to juveniles in every location. Adult dolphinfish showed "moderate movement by some individuals" in all locations based on Δ15 Ndolphinfish-copepod values, except for Costa Rica where adults were classified with "high degree of movement by some individuals" whereas juveniles showed "limited movement" in all areas except Mexico. Population dispersal based on Δ15 Ndolphinfish-copepod values showed "moderate" and "high" dispersal for adults and "no dispersal" for most juveniles, except for Mexico. This study provides insight into potential dolphinfish spatial mobility across an area of interest for multiple nations, which can help to improve stock assessments and management of the species.

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Early detection of the COVID-19 virus is an important task for controlling the spread of the pandemic. Imaging techniques such as chest X-ray are relatively inexpensive and accessible, but its interpretation requires expert knowledge to evaluate the disease severity. Several approaches for automatic COVID-19 detection using deep learning techniques have been proposed. While most approaches show high accuracy on the COVID-19 detection task, there is not enough evidence on external evaluation for this technique. Furthermore, data scarcity and sampling biases make difficult to properly evaluate model predictions. In this paper, we propose stochastic gradient Langevin dynamics (SGLD) to take into account the model uncertainty. Four different deep learning architectures are trained using SGLD and compared to their baselines using stochastic gradient descent. The model uncertainties are also evaluated according to their convergence properties and the leave-one-out predictive densities. The proposed approach is able to reduce overconfidence of the baseline estimators while also retaining predictive accuracy for the best-performing cases.

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This study evaluates the psychometric properties of the Access of Older Adults to Outpatient Primary-Care Health Services Scale (AOAOPHSS), in research conducted among 707 Mexican older adults selected by convenience from 14 rural and one urban locations. The AOAOPHSS explores 10 dimensions of two integrated subscales: Accessibility and Personal Abilities. Data analysis was performed in five phases. First, potentially biased responses were identified. Second, the response efficiency of the items and their association with external variables were evaluated. Third, the basic properties of the scores for the subscales' dimensions of the AOAOPHSS were identified using non-parametric Mokken Scaling Analysis (MSA). Fourth, the Structural Equation Modeling methodology was used to identify the properties of the internal structure of the latent construct. Finally, reliability and internal consistency were evaluated at both score and item levels. The following findings emerged. 13 items with inefficient response options were removed, and 24 were retained using the MSA. The latent structure of the latter was defined based on 21 items of five Accessibility Subscale dimensions. Its internal consistency reliability ranged between 0.67 and 0.81 (omega coefficients) and between 0.61 and 0.78 (alpha coefficients). Accordingly, this paper discusses the overall implications of using the Accessibility Subscale.

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Invasive fungal infections represent a global health threat. They are associated with high mortality and morbidity rates, partly due to the ineffectiveness of the available antifungal agents. The rampant increase in infections recalcitrant to the current antifungals has worsened this scenario and made the discovery of new and more effective antifungals a pressing health issue. In this study, 65 extracts from marine organisms of the Yucatan Peninsula, Mexico, were screened for antifungal activity against Candida albicans and Candida glabrata, two of the most prevalent fungal species that cause nosocomial invasive fungal infections worldwide. A total of 51 sponges, 13 ascidians and 1 gorgonian were collected from the coral reef and mangrove forest in the Yucatan Peninsula (Mexico) and extracted with organic solvents. Nine crude extracts showed potent antifungal activity, of which four extracts from the sponge species Aiolochroia crassa, Amphimedon compressa, Monanchora arbuscula and Agelas citrina had promising activity against Candida spp. Bioassay-guided fractionation of the M. arbuscula extract revealed the remarkable fungicidal activity of some fractions. Analysis of the chemical composition of one of the most active fractions by UHPLC-HRMS and NMR indicated the presence of mirabilin B and penaresidin B, and their contribution to the observed antifungal activity is discussed. Overall, this work highlights marine organisms of the Yucatan Peninsula as important reservoirs of natural products with promising fungicidal activity, which may greatly advance the treatment of invasive fungal infections, especially those afflicting immunosuppressed patients.

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AIM: To evaluate the readiness of the Mexican healthcare system to implement the integrated care for older people (ICOPE) approach into an existing healthcare model. METHODS: We conducted a cross-sectional study with data from 2473 healthcare workers analyzed using the model for understanding success in quality (MUSIQ) framework to gather data from healthcare professionals. Their perceptions regarding the readiness for ICOPE were assessed across five dimensions: team, microsystem, infrastructure, organization, and external environment. RESULTS: Only 717 (29%) of the participants believed ICOPE could be successfully implemented in Mexico without any modifications. A total of 1261 (51%) participants rated the readiness of ICOPE with some barriers. The main barriers were reallocating resources and the external environment. OBSERVATION: Mexico's healthcare system faces barriers to innovation that could hinder the successful integration of the ICOPE approach. A systematic identification of these barriers provides an opportunity to suggest adaptations and refinements to increase the probability of success. Using the contextual factors identified as facilitators and the proposal of interventions such as the ICOPE app could improve the chances of success. CONCLUSION: The participants of this study evaluated ICOPE as ready to implement, with some contextual barriers. The readiness evaluation supports the stakeholders' and policymakers' decisions in implementing and monitoring the program in a natural setting. Evaluating the readiness of the intervention increases the possibility of aligning the innovation with contextual factors, increasing the chances of its successful adoption and implementation.

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The effect of different high-pressure processing (HPP) treatments on casein micelles was analyzed through scanning electron microscopy (SEM) and a particle size distribution analysis. Raw whole and skim milk samples were subjected to HPP treatments at 400, 500 and 600 MPa for Come-Up Times (CUT) up to 15 min at ambient temperature. Three different phenomena were observed in the casein micelles: fragmentation, alterations to shape and agglomeration. The particle size distribution analysis determined that, as pressure and time treatment increased, the three phenomena intensified. First, the size of the casein micelles began to decrease as their fragmentation occurred. Subsequently, the casein micelles lost roundness, and their shape deformed. Finally, in the most intense treatments (higher pressures and/or longer times), the micelles fragments began to agglomerate, which resulted in an increase in their average diameter. Homogenization and defatting had no significant effect on the casein micelles; however, the presence of fat in whole milk samples was bioprotective, as the effects of the three phenomena appeared faster in treated skim milk samples. Through this study, it was concluded that the size and structure of casein micelles are greatly altered during high-pressure treatment. These results provide information that broadens the understanding of the changes induced on casein micelles by high-pressure treatments at room temperature.

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