The Effect of Alcaligenes faecalis on Inhibition of Candida albicans Biofilm and Planktonic Growth

Candida albicans is a fungal microorganism found on the human body and in the environment. An opportunistic pathogen causing local and systemic infection, this fungus is one of the leading causes of nosocomial infections. More alarming is its growing resistance against the limited number of antifungals we have for treatment Candida infections. An area of current research, termed polymicrobial interactions, focuses on how different microorganisms interact with each other for limited space, nutrients, and survival. The current study focuses on attempting to inhibit planktonic and biofilm growth stages by using the benign bacterium Alcaligenes faecalis, previously shown in our lab to kill C. albicans. Under a variety of growth conditions and phases, co-cultures of A. faecalis and C. albicans have demonstrated that the bacterium drastically inhibits all forms of Candida growth. The results of this study may provide information on potential new therapeutic targets that Alcaligenes may employ in inhibition of Candida

Index-based Approach in Relation to Built-up and LST Dynamics; A Study of Lahore, Pakistan

In 21st century, cities outpaced in size and also in density due to development of economic sector. Consequently, the wide spread expansion of urban areas is resulting in the loss of productive green cover and water bodies. Therefore, realizing this alarming situation, the present study is aimed to investigate and evaluate the pattern of urban expansion by considering two major land cover types (i) built-up area (ii) other classes (vegetation, waterbody, soil etc.) during the last six years (2015-2020). For this study Sentinel imagery was acquired from USGS Earth Explorer, while Modis Terra images were acquired from World View NASA. New built-up area index (NBUI), normalized difference vegetation index (NDVI), worldview water index (WV-WI) and land surface temperature (LST) were calculated in order to analyze variations in Lahore’s major land cover types and its varying temperature patterns. Spatial analysis presented the obvious impacts of land development on Lahore. NBUI indicated that the built-up area has increased drastically from 34.0% in 2015 to 84.2% in 2020; NDVI analysis depicted a decline from 0.76% to 0.73%, in the green spaces of Lahore during the study period; WV-WI portrayed inconsistent values of water bodies, a gift of massive rise in the built-up area in Lahore. LST results presented that the temperature was 42.21°C in 2015, which simultaneously increased and recorded at 49.51°C in 2020. The increase in LST exhibited the alarming situation for urban environment and can become threat to increase the air pollution level in Lahore. Therefore, this study will serve as a snapshot for policy makers to control the menace of unplanned urbanization by formulating stringent policies to protect environment

Mapping Fluctuations of Hispar Glacier, Karakoram, using Normalized Difference Snow Index (NDSI) and Normalized Difference Principal Component Snow Index (NDSPCSI)

Investigation of the fluctuations in the snow-covered area of the major glaciers of the Karakoram range is essential for proper water resource management in Pakistan, since its glaciers are responding differently to the rising temperatures. The objective of this paper is to map snow covered area of Hispar glacier in Hunza river basin for the years 1990, 2010 and 2018. Two techniques, (NDPCSI) Normalized Difference Principal Component Snow Index and (NDSI) Normalized Difference Snow Index were used. Hispar glacier of the Hunza basin has lost 114 km2 of its ice cover area, during the last 28 years, with an alarming annual retreat rate of 1.67 km2 of glacier ice from 1990 to 2018. Hunza basin experienced a +1°C rise in both mean minimum and mean maximum temperature during 2007 to 2018.as a result, Karakorum ice reserves have been affected by rising temperature of the region. Due to temperature rise, retreat of snowcovered area of Hispar, Karakoram mountain range shows a shift in the cryospheric hazard zone

The awareness and usage of orthodontic apps and social media by orthodontists in the UK: A questionnaire-based study

OBJECTIVE: To assess the awareness and usage of mobile apps and social media among orthodontic clinicians to support patients with orthodontic treatment, support the professional development of orthodontists, and identify any relevant apps and social media platforms currently recommended to patients. DESIGN: Cross-sectional questionnaire-based study. SETTING: United Kingdom. METHODS: A questionnaire was developed and distributed to members of the British Orthodontic Society (BOS). To increase the response rate, the questionnaire was circulated at three time points between January and March 2020. RESULTS: A total of 149 orthodontists responded to the questionnaire (15% response rate) with 113 orthodontists completing all questions (11.4%). Of those who answered, 81% (n = 111) had been qualified for >10 years, 35% worked in practice (n = 48), 34% worked in a hospital (n = 47) and 26% worked in both hospital and practice (n = 36). The results indicated that 20% of clinicians (n = 22) used apps to support patients and 33% (n = 37) reported using apps for professional purposes. Brush DJ appeared to be the most popular patient focused app (39%, n = 18) whereas the IOTN (17%, n = 8), Invisalign (17%, n = 8) and Dental Monitoring apps (9%, n = 4) were the most popular clinician-focused apps. With regard to social media, 53% (n = 60) of respondents reported that they used social media to communicate generic orthodontic information and promote their practice to patients. The most commonly used social media platforms were Facebook and Instagram. Of respondents, 96% expressed a willingness to recommend an evidence-based mobile app to patients if available, and 88% were willing to recommend an evidence-based social media platform. CONCLUSIONS: Orthodontic clinicians are utilising mobile apps and social media to support both patients and their own professional development. There is a willingness to increase the use of evidence-based platforms and apps to support patients

The Effects of Chronic Stress on CNTF/UCN3 in the pBNST and Hypothalamic PVN in Mice

Post-traumatic stress disorder (PTSD) is characterized by fear extinction deficit; chronic stress worsens this deficit. Using a Chronic Unpredictable Stress (CUS) model, we previously found that CUS increased fear extinction deficit in female mice and knockout of Ciliary Neurotrophic Factor (CNTF) attenuated it. The amygdala, specifically the medial amygdala, is strongly associated with fear conditioning and extinction. CUS increased CNTF and reduced Urocortin 3 (UCN3) in the medial amygdala, suggesting CNTF-mediated UCN3 inhibition may be involved in CUS-induced deficit of fear extinction. The medial amygdala connects to the hypothalamic paraventricular nucleus (PVN) via posterior bed nucleus of stria terminalis (pBNST) and mediates the stress response (Fig. 1). The objective of this project is to determine whether CUS affects CNTF, UCN3, and CNTF-related cytokine leukemia inhibitory factor (LIF) and interleukin-6 (IL-6) in the pBNST and hypothalamic PVN. Hippocampal CNTF expression was also examined as a brain region outside of the medial amygdala-pBNST-hypothalamic PVN circuitry. 4 groups (5 mice/group) of CNTF+/+ and CNTF-/- mice were treated with 4 weeks of CUS or control handling. At the end, fresh brain samples were collected. The hypothalamic PVN, pBNST and hippocampus were punched out from 600-700 um cryostat frozen sections. CUS was applied for 4 weeks. The control mice were handled daily for 4 weeks. RNA was extracted from tissue using QIANGEN Rneasy mini kit. BCA assay was performed to analyze protein concentration, then 10% SDS gel was used to run the protein samples. Statistical analysis included one-way ANOVA followed by Bonferroni multiple comparison or 2-tailed T test. p \u3c0.05 was defined as significant difference. In the pBNST, CUS did not affect CNTF and UCN3 mRNA expression. However, UCN3 protein was upregulated by CUS in CNTF+/+ but not CNTF-/- mice, suggesting CNTF inhibits UCN3 expression, possibly through post-transcriptional mechanism. CUS did not alter LIF and IL-3 in the pBNST. CUS did not alter CNTF mRNA expression in the PVN and further study will measure UCN3 mRNA and protein in the PVN. Finally, there was no CUS effect on CNTF, LIF and IL-6 mRNA in the hippocampus. These results and further studies are useful in development of therapeutic medications and drug targets in the case of chronic stress

Distance Measures for Multiple-Attributes Decision-Making Based on Connection Numbers of Set Pair Analysis With Dual Hesitant Fuzzy Sets

Dual hesitant fuzzy sets (DHFSs) is the refinement and extension of hesitant fuzzy sets and encompasses fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, and fuzzy multisets as a special case. DHFSs have two parts, that is, the membership function and the non-membership function, in which each function is defined by two sets of some feasible values. Therefore, according to the practical demand, DHFSs are more adjustable than the existing ones and provide the information regarding different objects in much better way. The set pair analysis (SPA) illustrates unsureness in three angles, called “identity”, “discrepancy” and “contrary”, and the connection number (CN) is one of its main features. In the present article, the axiom definition of distance measure between DHFSs and CN is introduced. The distance measures are established on the basis of Hamming distance, Hausdorff distance and Euclidean distance. The previous identities and relationship between them are discussed in detail. On the basis of the geometric distance model, the set-theoretic approach, and the matching functions several novel distance formulas of CN are introduced. The novel distance formulas are then applied to multiple-attribute decision making for dual hesitant fuzzy environments. Finally, to demonstrate the validity of the introduced measures, a practical example of decision-making is presented. The benefits of the new measures over the past measures are additionally talked about

Hematopoietic Stem Progenitor Cells Prevent Chronic Stress-Induced Lymphocyte Apoptosis

Physical or psychological chronic stress can suppress the immune system. However, the mechanisms remain to be elucidated. We investigated the effect of hematopoietic stem-progenitor cells (HSPCs) on chronic stress-induced the alterations of immune responses. We demonstrate that HSPCs prevents stress-induced lymphocyte apoptosis. Moreover, we also demonstrate that the protective effect of HSPCs on stress-induced lymphocyte reduction exerts by steroid hormones. Furthermore, we reveal that chronic stress-induced T cell-mediated immune responses contributes to the protective effect of HSPCs. These results indicate that HPSCs might offer a novel therapeutic strategy against the deleterious effects of chronic stress on the immune system