Categories
Nevin Manimala Statistics

Isolation of virulent phages against multidrug-resistant Acinetobacter baumannii recovered from inanimate objects of Jimma Medical Center, Southwest Ethiopia

BMC Infect Dis. 2023 Nov 22;23(1):820. doi: 10.1186/s12879-023-08823-7.

ABSTRACT

BACKGROUND: Because of the multidrug resistance features of Acinetobacter baumannii, endurance to diverse conditions, and causing health fatalities in healthcare settings, the global health system is looking for the development of new antimicrobials for such bacteria. As the new antimicrobial drugs pipeline is running dry, it is imperative to look for eco-friendly bio-control strategies. In this regard, phages are one to combat the biofilm producer and MDR A. baumannii. Thus, the study aimed to isolate and examine the role of phages against biofilm producers and MDR A. baumannii from inanimate objects at Jimma Medical Center (JMC), Ethiopia.

METHOD: Institution-based cross-sectional study was conducted from June to November 2019. A total of 309 swab samples were collected from inanimate objects and the environment in JMC. Isolation of A. baumannii, antimicrobial susceptibility testing, and biofilm detection were carried out according to standard protocol. Kirby Bauer disk diffusion and microliter plate were methods for AST and biofilm detection, respectively. Specific phage was isolated and characterized from sewage at JMC compound. The data were analyzed by SPSS version 25.0, and chi-square (X2) cross-tabulation was used to determine the correlation of variables. A P-value of < 0.05 was considered a statistically significant association.

RESULT: A. baumannii from inanimate objects and surfaces of different environments at JMC was detected in 6.5% of the samples. From 20 of the isolates, 85% were biofilm producers, and 60% were MDR. The lytic phage isolated specifically against A. baumannii was found host specific, and thermally stable ranging from 10-50°C. The phage was active against 42% of MDR A. baumannii, 40% of both biofilm-producing and MDR A. baumannii (MDRAB), and 35.3% of the biofilm-producing isolates.

CONCLUSION: The good activity of phages towards MDRAB isolates, its biofilm degradation capability, thermal stability, and host specificity in our study encourages viewing the potential use of phages as a bio-control agent besides the routine cleansing agents. Therefore, we recommend isolation of specific phages in the eradication of MDRAB from health facilities with additional efforts to characterize in detail and assess their efficacy in animal models.

PMID:37993809 | DOI:10.1186/s12879-023-08823-7

Categories
Nevin Manimala Statistics

Do disempowered childbearing women give birth at home in Sierra Leone? A secondary analysis of the 2019 Sierra Leone demographic health survey

BMC Pregnancy Childbirth. 2023 Nov 22;23(1):810. doi: 10.1186/s12884-023-06126-y.

ABSTRACT

BACKGROUND: A nationwide assessment of the link between women’s empowerment and homebirth has not been fully examined in Sierra Leone. Our study examined the association between women’s empowerment and homebirth among childbearing women in Sierra Leone using the 2019 Sierra Leone Demographic Health Survey (2019 SLDHS) data.

METHOD: We used the individual file (IR) of the 2019 SLDHS dataset for our analysis. A total of 7377 women aged 15-49 years who gave birth in the five years preceding the survey were included. Outcome variable was “home birth of their last child among women in the five years preceding the 2019 SLDHS. Women’s empowerment parameters include women’s knowledge level, economic participation, decision-making ability and power to refuse the idea of intimate partner violence. We used the complex sample command on SPSS version 28 to conduct descriptive and multivariate logistic regression analyses.

RESULTS: Three in every 20 women had home childbirth (n = 1177; 15.3%). Women with low [aOR 2.04; 95% CI 1.43-2.92] and medium [aOR 1.44; 95%CI 1.05-1.97] levels of knowledge had higher odds of giving birth at home compared to those with high levels of knowledge. Women who did not have power to refuse the idea of intimate partner violence against women were more likely to had given birth at home [aOR 1.38; 95% CI1.09-1.74]. In addition, women with no [aOR 2.71; 95% CI1.34-5.46) and less than four antenatal care visits [aOR 2.08; 95% CI:1.51-2.88] and for whom distance to a health facility was a major problem [aOR 1.95; 95% CI1.49-2.56] were more likely to have had a homebirth. However, no statistically significant association was observed between a women’s decision-making power and home birth [aOR 1.11; 95% CI 0.86-1.41].

CONCLUSION: Despite improvements in maternal health indicators, homebirth by unskilled birth attendants is still a public health concern in Sierra Leone. Women with low knowledge levels, who did not have power to refuse the idea of intimate partner violence against women, had less than four ANC visits and considered distance to a health facility as a major problem had higher odds of giving birth at home. Our findings reflect the need to empower women by improving their knowledge level through girl child and adult education, increasing media exposure, changing societal norms and unequal power relations that promote gender-based violence against women, and improving roads and transport infrastructure.

PMID:37993807 | DOI:10.1186/s12884-023-06126-y

Categories
Nevin Manimala Statistics

High sensitivity and specificity in fetal gender identification in the first trimester, using ultrasound and Noninvasive Prenatal Screening (NIPS) in twin pregnancies, a prospective study

BMC Pregnancy Childbirth. 2023 Nov 22;23(1):812. doi: 10.1186/s12884-023-06133-z.

ABSTRACT

INTRODUCTION: Determination of the fetal gender in the first trimester is important in twin pregnancy cases of familial X-linked genetic syndromes and helps determine chorionicity. We assessed and compared the accuracy of first-trimester ultrasound scans, and cell-free fetal DNA (CfDNA) in determining fetal gender in the first trimester of twin pregnancies.

METHODS: Women with twin pregnancies were recruited prospectively during the first trimester. Fetal gender was determined using both ultrasound scans and CfDNA screening. Both results were compared to the newborn gender after delivery.

RESULTS: A total of 113 women with twin pregnancies were enrolled. There was 100% sensitivity and specificity in Y chromosome detection using CfDNA. Gender assignment using ultrasound in any first-trimester scans was 79.7%. Accuracy level increased from 54.2% in CRL 45-54 mm to 87.7% in CRL 55-67 mm and 91.5% in CRL 67-87 mm. Male fetuses had significantly higher chances of a gender assignment error compared to female fetuses, odds ratio = 23.574 (CI 7.346 – 75.656).

CONCLUSIONS: CfDNA is highly sensitive and specific in determining the presence of the Y chromosome in twin pregnancies in the first trimester. Between CRL 55-87 mm, ultrasound scanning offers a highly accurate determination of fetal gender in twin pregnancies.

PMID:37993805 | DOI:10.1186/s12884-023-06133-z

Categories
Nevin Manimala Statistics

Exploration of key drug target proteins highlighting their related regulatory molecules, functional pathways and drug candidates associated with delirium: evidence from meta-data analyses

BMC Geriatr. 2023 Nov 22;23(1):767. doi: 10.1186/s12877-023-04457-1.

ABSTRACT

BACKGROUND: Delirium is a prevalent neuropsychiatric medical phenomenon that causes serious emergency outcomes, including mortality and morbidity. It also increases the suffering and the economic burden for families and carers. Unfortunately, the pathophysiology of delirium is still unknown, which is a major obstacle to therapeutic development. The modern network-based system biology and multi-omics analysis approach has been widely used to recover the key drug target biomolecules and signaling pathways associated with disease pathophysiology. This study aimed to identify the major drug target hub-proteins associated with delirium, their regulatory molecules with functional pathways, and repurposable drug candidates for delirium treatment.

METHODS: We used a comprehensive proteomic seed dataset derived from a systematic literature review and the Comparative Toxicogenomics Database (CTD). An integrated multi-omics network-based bioinformatics approach was utilized in this study. The STRING database was used to construct the protein-protein interaction (PPI) network. The gene set enrichment and signaling pathways analysis, the regulatory transcription factors and microRNAs were conducted using delirium-associated genes. Finally, hub-proteins associated repurposable drugs were retrieved from CMap database.

RESULTS: We have distinguished 11 drug targeted hub-proteins (MAPK1, MAPK3, TP53, JUN, STAT3, SRC, RELA, AKT1, MAPK14, HSP90AA1 and DLG4), 5 transcription factors (FOXC1, GATA2, YY1, TFAP2A and SREBF1) and 6 microRNA (miR-375, miR-17-5, miR-17-5p, miR-106a-5p, miR-125b-5p, and miR-125a-5p) associated with delirium. The functional enrichment and pathway analysis revealed the cytokines, inflammation, postoperative pain, oxidative stress-associated pathways, developmental biology, shigellosis and cellular senescence which are closely connected with delirium development and the hallmarks of aging. The hub-proteins associated computationally identified repurposable drugs were retrieved from database. The predicted drug molecules including aspirin, irbesartan, ephedrine-(racemic), nedocromil, and guanidine were characterized as anti-inflammatory, stimulating the central nervous system, neuroprotective medication based on the existing literatures. The drug molecules may play an important role for therapeutic development against delirium if they are investigated more extensively through clinical trials and various wet lab experiments.

CONCLUSION: This study could possibly help future research on investigating the delirium-associated therapeutic target biomarker hub-proteins and repurposed drug compounds. These results will also aid understanding of the molecular mechanisms that underlie the pathophysiology of delirium onset and molecular function.

PMID:37993790 | DOI:10.1186/s12877-023-04457-1

Categories
Nevin Manimala Statistics

Aesthetics of everyday life and its related factors among older adults in Kashan (2021-2022)

BMC Geriatr. 2023 Nov 22;23(1):764. doi: 10.1186/s12877-023-04412-0.

ABSTRACT

BACKGROUND: Aesthetics of everyday life are associated with the physical, mental, and social health of older adults, leading them to experience a successful old age. This study aimed to examine the aesthetics of everyday life and its related factors among older adults in Kashan from 2021 to 2022.

METHODS: This cross-sectional study consisted of 350 older adults who were referred to Urban Comprehensive Health Service Centers (UCHSC) in Kashan. Sampling was done by a two-stage method (cluster, random). The data collection was performed with a background information questionnaire and the Elderly’s Perception of Everyday Aesthetics scale (EPEA-S). Data were analyzed using an independent t-test, analysis of variance, Pearson’s correlation coefficient, and multiple linear regression tests in the SPSS software.

RESULTS: The mean age of the participants was 69.56 ± 6.63 years. The mean score of aesthetics of everyday life in older adults was 133.02 ± 14.73, with the family and others subscale receiving the highest score. The univariate test indicated a statistically significant correlation between age, employment status, education, income, smoking, social activities, physical activities, interest in artistic works, and the aesthetics of everyday life in older adults (P < 0.01). Multivariate linear analysis showed that age, employment status, smoking, income, social activities, physical activities, and interest in artistic works predicted and explained 28% of the variance of life aesthetics in older adults (R2 = 0.28).

CONCLUSIONS: The aesthetics of everyday life of the Iranian older adults were in a good range. Healthcare providers and families of older adults can use this concept to enhance the elderly’s physical, mental, and social health.

PMID:37993782 | DOI:10.1186/s12877-023-04412-0

Categories
Nevin Manimala Statistics

MiREx: mRNA levels prediction from gene sequence and miRNA target knowledge

BMC Bioinformatics. 2023 Nov 22;24(1):443. doi: 10.1186/s12859-023-05560-1.

ABSTRACT

Messenger RNA (mRNA) has an essential role in the protein production process. Predicting mRNA expression levels accurately is crucial for understanding gene regulation, and various models (statistical and neural network-based) have been developed for this purpose. A few models predict mRNA expression levels from the DNA sequence, exploiting the DNA sequence and gene features (e.g., number of exons/introns, gene length). Other models include information about long-range interaction molecules (i.e., enhancers/silencers) and transcriptional regulators as predictive features, such as transcription factors (TFs) and small RNAs (e.g., microRNAs – miRNAs). Recently, a convolutional neural network (CNN) model, called Xpresso, has been proposed for mRNA expression level prediction leveraging the promoter sequence and mRNAs’ half-life features (gene features). To push forward the mRNA level prediction, we present miREx, a CNN-based tool that includes information about miRNA targets and expression levels in the model. Indeed, each miRNA can target specific genes, and the model exploits this information to guide the learning process. In detail, not all miRNAs are included, only a selected subset with the highest impact on the model. MiREx has been evaluated on four cancer primary sites from the genomics data commons (GDC) database: lung, kidney, breast, and corpus uteri. Results show that mRNA level prediction benefits from selected miRNA targets and expression information. Future model developments could include other transcriptional regulators or be trained with proteomics data to infer protein levels.

PMID:37993778 | DOI:10.1186/s12859-023-05560-1

Categories
Nevin Manimala Statistics

A novel efficient drug repurposing framework through drug-disease association data integration using convolutional neural networks

BMC Bioinformatics. 2023 Nov 22;24(1):442. doi: 10.1186/s12859-023-05572-x.

ABSTRACT

Drug repurposing is an exciting field of research toward recognizing a new FDA-approved drug target for the treatment of a specific disease. It has received extensive attention regarding the tedious, time-consuming, and highly expensive procedure with a high risk of failure of new drug discovery. Data-driven approaches are an important class of methods that have been introduced for identifying a candidate drug against a target disease. In the present study, a model is proposed illustrating the integration of drug-disease association data for drug repurposing using a deep neural network. The model, so-called IDDI-DNN, primarily constructs similarity matrices for drug-related properties (three matrices), disease-related properties (two matrices), and drug-disease associations (one matrix). Then, these matrices are integrated into a unique matrix through a two-step procedure benefiting from the similarity network fusion method. The model uses a constructed matrix for the prediction of novel and unknown drug-disease associations through a convolutional neural network. The proposed model was evaluated comparatively using two different datasets including the gold standard dataset and DNdataset. Comparing the results of evaluations indicates that IDDI-DNN outperforms other state-of-the-art methods concerning prediction accuracy.

PMID:37993777 | DOI:10.1186/s12859-023-05572-x

Categories
Nevin Manimala Statistics

Phenotypic and genotypic characterization of multidrug resistant and extended-spectrum β-lactamase-producing Enterobacterales isolated from clinical samples in the western region in Cameroon

BMC Infect Dis. 2023 Nov 22;23(1):819. doi: 10.1186/s12879-023-08742-7.

ABSTRACT

BACKGROUND: The 2017 World Health Organization (WHO) report has listed extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E) as critical pathogens for public health and requiring urgently new antibiotics. The aim of this study was to characterize phenotypically and genotypically ESBL-E isolated among clinical samples in Dschang, Cameroon.

METHODS: A cross-sectional study was conducted during a four-month periods from February to May 2022 in the two biggest hospitals of Dschang. Clinical samples were collected and cultured on Eosin Methylene Blue agar. Suspected growing colonies were biochemically identified using the Enterosystem Kit 18R. Antimicrobial susceptibility testing (AST) was done using the Kirby Bauer disc diffusion method and interpretated according to the CA-SFM recommendations. ESBL phenotypes were double screened using CHROMagar™ ESBL and double disk synergy test (DDST). The detection of resistance genes was performed using conventional and multiplex PCR methods. Results were analyzed with SPSS (version 21) and a p-value < 0.05 was considered statistically significant.

RESULTS: A total of 152 Enterobacterales were isolated among 597 clinical samples including urine, blood, cervico-vaginal, urethral swabs and wound samples. The overall prevalence of ESBL-Enterobacterales was 29.61% (45/152). The most represented ESBL species were Escherichia coli (n = 23; 51.11%), Klebsiella pneumoniae (n = 8; 17.78%) and Citrobacter freundii (n = 6; 13.33%).

CONCLUSION: This study reveals the high burden of ESBL-E among clinical samples in the regional hospital in Dschang with the most common species being E. coli and K. pneumoniae. It confirmed the high occurrence of blaCTX-M and blaTEM among ESBL-E. The study suggests that implementing antimicrobial stewardship program and real-time surveillance of antimicrobial resistance are needed in the Western region of Cameroon. Moreover, the implementation of infection prevention and control measures (IPC) is essential to curb the dissemination of these bacteria from community to hospital settings. Implementation of national action plan to fight against antimicrobial resistance at the local levels is urgently needed.

PMID:37993766 | DOI:10.1186/s12879-023-08742-7

Categories
Nevin Manimala Statistics

Region-Dependent Mechanical Properties of Human Brain Tissue Under Large Deformations Using Inverse Finite Element Modeling

Ann Biomed Eng. 2023 Nov 22. doi: 10.1007/s10439-023-03407-7. Online ahead of print.

ABSTRACT

This study aims to facilitate intracranial simulation of traumatic events by determining the mechanical properties of different anatomical structures of the brain. Our experimental indentation paradigm used fresh, post-operative human tissue, which is highly advantageous in determining mechanical properties without being affected by postmortem time. This study employed an inverse finite element approach coupled with experimental indentation data to characterize mechanical properties of the human hippocampus (CA1, CA3, dentate gyrus), cortex white matter, and cortex grey matter. We determined that an uncoupled viscoelastic Ogden constitutive formulation was most appropriate to represent the mechanical behavior of these different regions of brain. Anatomical regions were significantly different in their mechanical properties. The cortex white matter was stiffer than cortex grey matter, and the CA1 and dentate gyrus were both stiffer than cortex grey matter. Although no sex dependency was observed, there were trends indicating that male brain regions were generally stiffer than corresponding female regions. In addition, there were no statistically significant age dependent differences. This study provides a structure-specific description of fresh human brain tissue mechanical properties, which will be an important step toward explicitly modeling the heterogeneity of brain tissue deformation during TBI through finite element modeling.

PMID:37993751 | DOI:10.1007/s10439-023-03407-7

Categories
Nevin Manimala Statistics

Effects of photobiomodulation with blue Light Emitting Diode (LED) on the healing of skin burns

Lasers Med Sci. 2023 Nov 23;38(1):275. doi: 10.1007/s10103-023-03929-5.

ABSTRACT

The management of skin burns is still challenging. Among the therapeutic methods used, there are topical treatments with pharmacological and herbal agents, low-intensity therapeutic ultrasound, use of biomaterials, reconstructive techniques and photobiomodulation therapy. The aim of this study was to evaluate the effects of photobiomodulation with blue Light Emitting Diode (LED) on burn healing. Fifty Wistar rats were divided into control (CTRL) (n = 25) and blue LED (LED) (n = 25), with subgroups (n = 5) for each time of euthanasia (7, 14, 21, 28 and 32 days). Treated animals were daily irradiated (470 nm, 1W, 0.44 W/cm2, 50 J/cm2). Clinical evaluations were performed and the Wound Retraction Index (WRI) was determined. Histological sections were submitted to hematoxylin-eosin, toluidine blue and the immunohistochemical technique, with anti-α-SMA and anti-TGF-β1 antibodies. All data were directly collected by previously calibrated evaluators in a blind manner. The values were included in a statistical program. For all statistical tests used, 5% significance level (p < 0.05) was considered. No statistically significant differences in WRI between groups were observed (p > 0.05). Re-epithelialization was higher using LED at 7 and 14 days (p < 0.05) and greater amount of inflammatory cells was observed at 7 days (p = 0.01). With LED at 21 and 32 days, greater number of mast cells were observed (p < 0.05), as well as smaller number of myofibroblasts at 14, 21, 28 and 32 days (p < 0.05) and lower percentage of TGF-β1 positive cells in the conjunctiva at 7, 14 and 21 days (p < 0.05). Negative correlations were observed in LED between the percentage of TGF-β1 in the epithelium and the mean number of inflammatory cells and number of myofibroblasts (p < 0.05). The results suggest that, depending on the period, blue LED can modulate the healing processes of third-degree skin burns, such as re-epithelialization, inflammatory response, mast cell concentration, myofibroblast differentiation and TGF-β1 immunoexpression. Despite these effects, this therapy does not seem to have significant influence on the retraction of these wounds. Future studies, using different protocols, should be carried out to expand the knowledge about the photobiomodulatory mechanisms of this type of light in the healing process.

PMID:37993749 | DOI:10.1007/s10103-023-03929-5