Exploring Seaweed-Associated Marine Microbes: Growth Impacts and Enzymatic Potential for Sustainable Resource Utilization.

Seaweed, a valuable marine resource widely cultivated worldwide, can be vulnerable to stress and microbiome alterations, resulting in the decay of seaweeds and substantial economic losses. To investigate the seaweed-microbiome interaction, our study aimed to isolate marine bacteria and fungi that can cause Ice-Ice disease and evaluate their enzymatic characteristics for potential application in bioethanol production from seaweed biomass. Three red seaweed species (Gracilaria edulis, Kappaphycus alvarezii, and Eucheuma cottonii) were obtained for our study and placed in separate culture tanks. Among the 18 isolated marine microbial species, 12 tested positive for agar and carrageenan activity: six exhibited both activities, three displayed only agar activity, and three only carrageenan activity. DNA sequencing of the positive microbes identified ten bacteria and two yeast species. The 3,5-Dinitrosalicylic acid (DNSA) assay results revealed that the identified bacterial Caldibacillus kokeshiiformis strain FJAT-47861 exhibited the highest carrageenase activity (0.76 units/ml), while the yeast Pichia fermentans strain PM79 demonstrated the highest agarase activity (0.52 units/ml). Notably, Pichia fermentans strain PM79 exhibited the highest overall agarase and carrageenase activity, averaging 0.63 units/ml. The average carrageenase activity of all six positive microbes was 1.5 times higher than their agarase activity. These findings suggest that the 12 isolated microbes hold potential for bioethanol production from macroalgae, as their agarase and carrageenase activity indicates their ability to break down seaweed cell wall carbohydrates, causing ice-ice disease. Moreover, these results provide exciting prospects for harnessing the bioconversion capabilities of these microbes, paving the way for sustainable and efficient bioethanol production from seaweed resources. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-024-01205-w.

A virtual mother-infant postpartum psychotherapy group for mothers with a history of adverse childhood experiences: open-label feasibility study.

OBJECTIVES: Mothers with a history of adverse childhood experiences (ACE) are at elevated risk for postpartum mental illness and impairment in the mother-infant relationship. Interventions attending to maternal-infant interactions may improve outcomes for these parents and their children, but barriers to accessing in-person postpartum care limit uptake. We adapted a postpartum psychotherapy group for mothers with mental illness (e.g., mood, anxiety, trauma-related disorders) and ACE for live video-based delivery, and evaluated feasibility, acceptability, and preliminary efficacy in an open-label pilot study. METHODS: We recruited adults with children (6-18 months) from a perinatal psychiatry program in Toronto, Canada. The intervention was a live video-based 12-week interactive psychotherapy group focused on maternal symptoms and maternal-infant relationships. The primary outcome was feasibility, including feasibility of recruitment and retention, fidelity of the intervention, and acceptability to patients and group providers. Maternal clinical outcomes were compared pre- to post-intervention, as secondary outcomes. RESULTS: We recruited 31 participants (mean age 36.5 years (SD 3.9)) into 6 groups; 93.6% (n = 29) completed post-group questionnaires, and n = 20 completed an optional post-group acceptability interview. Mean weekly group attendance was 83% (IQR 80-87); one participant (3.2%) dropped out. All group components were implemented as planned, except for dyadic exercises where facilitator observation of dyads was replaced with unobserved mother-infant exercises followed by in-group reflection. Participant acceptability was high (100% indicated the virtual group was easy to access, beneficial, and reduced barriers to care). Mean maternal depressive [Edinburgh Postnatal Depression Scale: 14.6 (SD 4.2) vs. 11.8 (SD 4.2), paired t, p = 0.005] and post-traumatic stress [Posttraumatic Stress Disorder Checklist for DSM-5: 35.5 (SD 19.0) vs. 27.1 (SD 16.7)], paired t, p = 0.01] symptoms were significantly lower post vs. pre-group. No differences were observed on mean measures of anxiety, emotion regulation or parenting stress. CONCLUSIONS: Recruitment and retention met a priori feasibility criteria. There were significant pre- to post-group reductions in maternal depressive and post-traumatic symptoms, supporting proceeding to larger-scale implementation and evaluation of the intervention, with adaptation of dyadic exercises.

Combination of histochemical analyses and micro-MRI reveals regional changes of the murine cervix in preparation for labor.

The cervix is responsible for maintaining pregnancy, and its timely remodeling is essential for the proper delivery of a baby. Cervical insufficiency, or "weakness", may lead to preterm birth, which causes infant morbidities and mortalities worldwide. We used a mouse model of pregnancy and term labor, to examine the cervical structure by histology (Masson Trichome and Picrosirius Red staining), immunohistochemistry (Hyaluronic Acid Binding Protein/HABP), and ex-vivo MRI (T2-weighted and diffusion tensor imaging), focusing on two regions of the cervix (i.e., endocervix and ectocervix). Our results show that mouse endocervix has a higher proportion of smooth muscle cells and collagen fibers per area, with more compact tissue structure, than the ectocervix. With advanced gestation, endocervical changes, indicative of impending delivery, are manifested in fewer smooth muscle cells, expansion of the extracellular space, and lower presence of collagen fibers. MRI detected three distinctive zones in pregnant mouse endocervix: (1) inner collagenous layer, (2) middle circular muscular layer, and (3) outer longitudinal muscular layer. Diffusion MRI images detected changes in tissue organization as gestation progressed suggesting the potential application of this technique to non-invasively monitor cervical changes that precede the onset of labor in women at risk for preterm delivery.

The impact of COVID-19 in diabetic kidney disease and chronic kidney disease: A population-based study.

BACKGROUND: The spectrum of pre-existing renal disease is known as a risk factor for severe COVID-19 outcomes. However, little is known about the impact of COVID-19 on patients with diabetic nephropathy in comparison to patients with chronic kidney disease. METHODS: We used the Mexican Open Registry of COVID-19 patients 11 to analyze anonymized records of those who had symptoms related to COVID-19 to analyze the rates of SARS-CoV-2 infection, development of COVID-19 pneumonia, admission, intubation, Intensive Care Unit admission and mortality. Robust Poisson regression was used to relate sex and age to each of the six outcomes and find adjusted prevalences and adjusted prevalence ratios. Also, binomial regression models were performed for those outcomes that had significant results to generate probability plots to perform a fine analysis of the results obtained along age as a continuous variable. RESULTS: The adjusted prevalence analysis revealed that that there was a a 87.9% excess probability of developing COVID-19 pneumonia in patients with diabetic nephropathy, a 5% excess probability of being admitted, a 101.7% excess probability of intubation and a 20.8% excess probability of a fatal outcome due to COVID-19 pneumonia in comparison to CKD patients (p<0.01).  Conclusions: Patients with diabetic nephropathy had nearly a twofold rate of COVID-19 pneumonia, a higher probability of admission, a twofold probability of intubation and a higher chance of death once admitted compared to patients with chronic kidney disease alone. Also, both diseases had higher COVID-19 pneumonia rates, intubation rates and case-fatality rates compared to the overall population.