Relationship between Milk Microbiota, Bacterial Load, Macronutrients, and Human Cells during Lactation

Human breast milk is considered the optimal nutrition for infants, providing essential nutrients and a broad range of bioactive compounds, as well as its own microbiota. However, the interaction among those components and the biological role of milk microorganisms is still uncovered. Thus, our aim was to identify the relationships between milk microbiota composition, bacterial load, macronutrients, and human cells during lactation. Bacterial load was estimated in milk samples from a total of 21 healthy mothers through lactation time by bacteria-specific qPCR targeted to the single-copy gene fusA. Milk microbiome composition and diversity was estimated by 16S-pyrosequencing and the structure of these bacteria in the fluid was studied by flow cytometry, qPCR, and microscopy. Fat, protein, lactose, and dry extract of milk as well as the number of somatic cells were also analyzed. We observed that milk bacterial communities were generally complex, and showed individual-specific profiles. Milk microbiota was dominated by Staphylococcus, Pseudomonas, Streptococcus, and Acinetobacter. Staphylococcus aureus was not detected in any of these samples from healthy mothers. There was high variability in composition and number of bacteria per milliliter among mothers and in some cases even within mothers at different time points. The median bacterial load was 106 bacterial cells/ml through time, higher than those numbers reported by 16S gene PCR and culture methods. Furthermore, milk bacteria were present in a free-living, “planktonic” state, but also in equal proportion associated to human immune cells. There was no correlation between bacterial load and the amount of immune cells in milk, strengthening the idea that milk bacteria are not sensed as an infection by the immune system.MC would like to greatefully acknowledge ERC Starting Grant 639226-MAMI. MC is involved in the “ISCH COST Action-IS1405” entitled “Building Intrapartum Research Through Health—an interdisciplinary whole system approach to understanding and contextualizing physiological labor and birth (BIRTH).”Peer reviewedPeer Reviewe

HDL-related biomarkers are robust predictors of survival in patients with chronic liver failure

Abstract Background & Aims The occurrence of acute decompensation (AD) worsens the prognosis of advanced chronic liver disease (ACLD). Various insults leading to increased systemic inflammation trigger acute-on-chronic liver failure (ACLF) with dramatically increased short-term mortality. During acute conditions such as sepsis, high-density lipoprotein cholesterol (HDL-C) levels decrease rapidly and HDL particles undergo profound changes in their composition and function. Indices of HDL quantity and quality may therefore associate with progression and survival in patients with advanced liver disease. Methods We studied levels of HDL-cholesterol (HDL-C), its subclasses HDL2-C and HDL3-C, and apolipoprotein(apo)A-I as indices of HDL quantity and HDL cholesterol efflux capacity as a metric of HDL functionality in 508 patients with compensated or decompensated cirrhosis including ACLF and 40 age- and gender-matched controls. Results Baseline levels of HDL-C and apoA-I were significantly lower in stable cirrhosis compared to control and further decreased in AD and ACLF . In stable cirrhosis (n=228), both HDL-C and apoA-I predicted the development of liver-related complications independently of MELD. In patients with AD with or without ACLF (n=280) both HDL-C and apoA-I were MELD-independent predictors of 90-day mortality. On ROC analysis, high diagnostic accuracies for 90-day mortality in AD patients were found for HDL-C (AUROC 0.79 ) and apoA-I (AUROC 0.80 ), very similar to that of MELD (AUROC 0.81 ). On Kaplan-Meier analysis, HDL-C 17 mg/dl and apoA-I 50 mg/dl indicated poor short-term survival. The prognostic accuracy of HDL-C was validated in a large external validation cohort of 985 patients with portal hypertension due to ACLD (AUROCs HDL-C: 0.81 vs. MELD: 0.77). Conclusion HDL-related biomarkers are robust predictors of disease progression and survival in chronic liver failure

Famílies botàniques de plantes medicinals

Facultat de Farmàcia, Universitat de Barcelona. Ensenyament: Grau de Farmàcia, Assignatura: Botànica Farmacèutica, Curs: 2013-2014, Coordinadors: Joan Simon, Cèsar Blanché i Maria Bosch.Els materials que aquí es presenten són els recull de 175 treballs d’una família botànica d’interès medicinal realitzats de manera individual. Els treballs han estat realitzat per la totalitat dels estudiants dels grups M-2 i M-3 de l’assignatura Botànica Farmacèutica durant els mesos d’abril i maig del curs 2013-14. Tots els treballs s’han dut a terme a través de la plataforma de GoogleDocs i han estat tutoritzats pel professor de l’assignatura i revisats i finalment co-avaluats entre els propis estudiants. L’objectiu principal de l’activitat ha estat fomentar l’aprenentatge autònom i col·laboratiu en Botànica farmacèutica

Pedagogía social : revista interuniversitaria

Resumen basado en el texto del artículoSe presenta una revisión de las investigaciones que abordan los principales aspectos que conforman la psicología y psicopatología de la adopción. Se presta especial atención a los siguientes temas: adaptación psicológica y social, consultas psiquiátricas, conflictos de identidad, adopciones tardías y adaptación en el marco escolar.ES

Íber : didáctica de las ciencias sociales, geografía e historia

El artículo forma parte de una sección fija de la revista dedicada a experiencias de aulaEl autor, como responsable y encargado de la elaboración del proyecto didáctico del Museo Nacional de Cerámica y Artes Suntuarias González Martí de Valencia, albergado en el famoso edificio del Marqués de Dos Aguas, defiende en su artículo la idea de incorporar el museo como parte integrada de un sistema educativo renovado y progresista.CataluñaES

Relationship between milk microbiota, bacterial load, macronutrients and human cells during lactation

Human breast milk is considered the optimal nutrition for infants, providing essential nutrients and a broad range of bioactive compounds, as well as its own microbiota. However, the interaction among those components and the biological role of milk microorganisms is still uncovered. Thus, our aim was to identify the relationships between milk microbiota composition, bacterial load, macronutrients and human cells during lactation. Bacterial load was estimated in milk samples from a total of 21 healthy mothers through lactation time by bacteria-specific qPCR targeted to the single-copy gene fusA . Milk microbiome composition and diversity was estimated by 16S-pyrosequencing and the structure of these bacteria in the fluid was studied by flow cytometry, qPCR and microscopy. Fat, protein, lactose and dry extract of milk as well as the number of somatic cells were also analyzed. We observed that milk bacterial communities were generally complex, and showed individual-specific profiles. Milk microbiota was dominated by Staphylococcus, Pseudomonas, Streptococcus and Acinetobacter. Staphylococcus aureus was not detected in any of these samples from healthy mothers. There was high variability in composition and number of bacteria per milliliter among mothers and in some cases even within mothers at different time points. The median bacterial load was 106 bacterial cells/ml through time, higher than those numbers reported by 16S gene PCR and culture methods.. Furthermore, milk bacteria were present in a free-living, planktonic state, but also in equal proportion associated to human immune cells. There was no correlation between bacterial load and the amount of immune cells in milk, strengthening the idea that milk bacteria are not sensed as an infection by the immune system

Human milk microbiota in sub-acute lactational mastitis induces inflammation and undergoes changes in composition, diversity and load

Sub-acute mastitis (SAM) is a prevalent disease among lactating women, being one of the main reasons for early weaning. Although the etiology and diagnosis of acute mastitis (AM) is well established, little is known about the underlying mechanisms causing SAM. We collected human milk samples from healthy and SAM-suffering mothers, during the course of mastitis and after symptoms disappeared. Total (DNA-based) and active (RNA-based) microbiota were analysed by 16S rRNA gene sequencing and qPCR. Furthermore, mammary epithelial cell lines were exposed to milk pellets, and levels of the pro-inflammatory interleukin IL8 were measured. Bacterial load was significantly higher in the mastitis samples and decreased after clinical symptoms disappeared. Bacterial diversity was lower in SAM milk samples, and differences in bacterial composition and activity were also found. Contrary to AM, the same bacterial species were found in samples from healthy and SAM mothers, although at different proportions, indicating a dysbiotic ecological shift. Finally, mammary epithelial cell exposure to SAM milk pellets showed an over-production of IL8. Our work therefore supports that SAM has a bacterial origin, with increased bacterial loads, reduced diversity and altered composition, which partly recovered after treatment, suggesting a polymicrobial and variable etiology.This work was funded by the ERC Starting Grant 639226-MAMI, and the RTI2018-102032-B-I00 Grant from the Spanish Ministry of Science, Technology and UniversitiesPeer reviewe

Multiple Approaches Detect the Presence of Fungi in Human Breastmilk Samples from Healthy Mothers

A correction to this article has been published in https://doi.org/10.1038/s41598-017-13270-xHuman breastmilk contains a variety of bacteria that are transmitted to the infant and have been suggested to contribute to gut microbiota development and immune maturation. However, the characterization of fungal organisms in milk from healthy mothers is currently unknown although their presence has been reported in the infant gut and also in milk from other mammals. Breastmilk samples from healthy lactating mothers (n = 65) within 1 month after birth were analyzed. Fungal presence was assessed by different techniques, including microscopy, growth and identification of cultured isolates, fungal load estimation by qPCR, and fungal composition using 28S rRNA gene high-throughput sequencing. In addition, milk macronutrients and human somatic cells were quantified by spectrophotometry and cytometry. qPCR data showed that 89% of samples had detectable levels of fungal DNA, at an estimated median load of 3,5 × 105 cells/ml, potentially including both viable and non-viable fungi. Using different culture media, 33 strains were isolated and identified, confirming the presence of viable fungal species. Pyrosequencing results showed that the most common genera were Malassezia (44%), followed by Candida (19%) and Saccharomyces (12%). Yeast cells were observed by fluorescence microscopy. Future work should study the origin of these fungi and their potential contribution to infant health.This work was funded by ERC Starting Grant 639226-MAMIPeer reviewe