Implementing genetic testing in diabetes: Knowledge, perceptions of healthcare professionals, and barriers in a developing country.

INTRODUCTION: Maturity-Onset Diabetes of the Young (MODY) is an unusual type of diabetes often missed in clinical practice, especially in Africa. Treatment decisions for MODY depend on a precise diagnosis, only made by genetic testing. We aimed to determine MODY knowledge among Nigerian healthcare professionals (HCPs), their perceptions, and barriers to the implementation of genetic testing in diabetes patients. METHODS: A cross-sectional survey was conducted among doctors and nurses in three levels of public and private healthcare institutions in Ibadan, Nigeria, from December 2018 to June 2019. In all, 70% and 30% of a total 415 participants were recruited from public and private centers, respectively. HCPs were recruited in a 60:40% ratio, respectively. A 51-item instrument was used to assess MODY knowledge, perceptions of HCPs, and barriers to the implementation of genetic testing in diabetes patients. RESULTS: In the survey, 43.4% self-rated their current MODY knowledge to be at least moderate. About 68%, 73% and 86%, respectively, correctly answered 3 of 5 questions on basic genetics' knowledge. However, only 1 of 7 MODY-specific questions was answered correctly by 72.7% of the respondents. The mean basic genetics and MODY-specific knowledge scores were 2.6/5 (SD=1.0) and 1.8/9 (SD=1.3), respectively. Multiple linear regression showed higher mean scores among those aged 30-49 years, those with degrees and fellowships (except PhD), and general practitioners; 360 (80.0%) perceived that genetic testing plays a central role in diabetes care. Barriers to genetic testing were lack of access to testing facilities, guidance on the use of and updates/educational materials on genetic testing (82.7%, 62.1% and 50.3%, respectively). CONCLUSIONS: The level of MODY awareness and knowledge among Nigerian HCPs is unacceptably low with a lack of access to genetic testing facilities. These can hinder the implementation of precision diabetes medicine. Increased awareness, provision of decision support aids, and genetic testing facilities are urgently needed.

Reviewing 3D convolutional neural network approaches for medical image segmentation.

Background: Convolutional neural networks (CNNs) assume pivotal roles in aiding clinicians in diagnosis and treatment decisions. The rapid evolution of imaging technology has established three-dimensional (3D) CNNs as a formidable framework for delineating organs and anomalies in medical images. The prominence of 3D CNN frameworks is steadily growing within medical image segmentation and classification. Thus, our proposition entails a comprehensive review, encapsulating diverse 3D CNN algorithms for the segmentation of medical image anomalies and organs. Methods: This study systematically presents an exhaustive review of recent 3D CNN methodologies. Rigorous screening of abstracts and titles were carried out to establish their relevance. Research papers disseminated across academic repositories were meticulously chosen, analyzed, and appraised against specific criteria. Insights into the realm of anomalies and organ segmentation were derived, encompassing details such as network architecture and achieved accuracies. Results: This paper offers an all-encompassing analysis, unveiling the prevailing trends in 3D CNN segmentation. In-depth elucidations encompass essential insights, constraints, observations, and avenues for future exploration. A discerning examination indicates the preponderance of the encoder-decoder network in segmentation tasks. The encoder-decoder framework affords a coherent methodology for the segmentation of medical images. Conclusion: The findings of this study are poised to find application in clinical diagnosis and therapeutic interventions. Despite inherent limitations, CNN algorithms showcase commendable accuracy levels, solidifying their potential in medical image segmentation and classification endeavors.

A Self-Assembled 3D Model Demonstrates How Stiffness Educates Tumor Cell Phenotypes and Therapy Resistance in Pancreatic Cancer.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense and stiff extracellular matrix (ECM) associated with tumor progression and therapy resistance. To further the understanding of how stiffening of the tumor microenvironment (TME) contributes to aggressiveness, a three-dimensional (3D) self-assembling hydrogel disease model is developed based on peptide amphiphiles (PAs, PA-E3Y) designed to tailor stiffness. The model displays nanofibrous architectures reminiscent of native TME and enables the study of the invasive behavior of PDAC cells. Enhanced tuneability of stiffness is demonstrated by interacting thermally annealed aqueous solutions of PA-E3Y (PA-E3Yh) with divalent cations to create hydrogels with mechanical properties and ultrastructure similar to native tumor ECM. It is shown that stiffening of PA-E3Yh hydrogels to levels found in PDAC induces ECM deposition, promotes epithelial-to-mesenchymal transition (EMT), enriches CD133+/CXCR4+ cancer stem cells (CSCs), and subsequently enhances drug resistance. The findings reveal how a stiff 3D environment renders PDAC cells more aggressive and therefore more faithfully recapitulates in vivo tumors.

Cross-cultural adaptation and psychometric testing of the Yoruba lequesne algofunctional index of knee osteoarthritis among patients with knee osteoarthritis.

BACKGROUND: The Lequesne Algofunctional Index of Knee Osteoarthritis (LAIKOA) is a widely used knee osteoarthritis (KOA) outcome measure and is recommended by many international authorities. It has been cross-culturally adapted to many languages, excluding indigenous Nigerian languages. The aim of this study was to cross-culturally adapt and validate the LAIKOA into Yoruba language. METHODS: This was a validation study. Yoruba LAIKOA was translated and culturally adapted from English version following Beaton's guidelines (including cognitive debriefing). The Yoruba LAIKOA was psychometrically tested for test-retest reliability, standard error of measurements (SEM), smallest detectable change (SDC), internal consistency, and construct validity among 108 Yoruba-speaking patients with KOA recruited from selected hospitals in Ibadan, Nigeria. Participants completed the Yoruba and English versions of LAIKOA, and the Yoruba version of Ibadan Knee/Hip Osteoarthritis Outcome Measure (IKHOAM). RESULTS: The mean age of participants was 63.60 ± 11.77 years. Acceptable internal consistency was observed for the global index and function domain (α = 0.63-0.82) and good test-retest for items and domains (ICC = 0.81-0.995). Item-to-scale correlation was significant (r = 0.28-0.69). Its three domains demonstrated structural validity when subjected to confirmatory factor analysis (CFI = 0.99, TLI = 0.99, RMSEA = 0.02). Construct validity was supported by the correlation between Yoruba LAIKOA and IKHOAM (r = -0.39, p = 0.011). The overall scores and domain scores of the Yoruba and English versions of LAIKOA did not differ significantly. The Yoruba LAIKOA has no floor or ceiling effects. CONCLUSION: The Yoruba LAIKOA is reliable and valid, and it is recommended for use in clinical settings in southwestern Nigeria and other Yoruba-speaking populations.

FACTORS INFLUENCING ACCESS AND UTILIZATION OF REPRODUCTIVE HEALTH SERVICES AMONG ADOLESCENTS IN URBAN AND RURAL COMMUNITIES IN RIVERS STATE, NIGERIA.

INTRODUCTION: Adolescents face multiple barriers in accessing information and health care services. Rural and urban differences in access to and use of reproductive health services (RHS) exist but the extent is unclear. We identified and compared the factors influencing access to and utilization of RHS among adolescents in urban and rural communities in Rivers State, Nigeria. METHODOLOGY: A comparative cross-sectional study design was used. In sequential explanatory mixed methods. First, a quantitative survey interviewed 507 adolescents, 255 in urban and 252 in rural communities. This was followed by a narrative approach to qualitative inquiry using focused group discussions. Access and utilization were determined, and predictors of access and utilization were derived from multivariate logistic regression models using adjusted odd ratios. RESULTS: The median ages and interquartile ranges were 16.0 (14-19) and 14.0 (12-16) years for urban and rural respondents respectively. Utilization of RHS was low, 65 (25.5%) in urban, 57 (22.6%) in rural. Access to services was also low, 81 (31.76%) urban versus 8 (3.17%) rural have economic access to RHS. Age, level of education, awareness of RHS, and sexual experience were predictors of access and utilization in both communities, beliefs that condoms can prevent STIs/ HIV, and exposure to mass and socio-media influenced access and utilization of RHS. Specifically, the age group (15-19 years) of respondents was found to be a significant predictor of utilization of RHS for both urban (cOR=4.32, 95% CI; 0.82-22.69, p=0.001) and rural (aOR=7.65, 95% CI; 1.99-29.40, p=0.003) adolescents. The barriers to the utilization of RHS were ignorance, lack of awareness, parental influence, and financial constraints. CONCLUSION: Adolescents in urban areas have more access (3 in 10) and utilization of RHS compared with their rural (3 in 100) counterparts. There is a need to promote information and education on RHS among adolescents, especially in rural areas.

Bioactive and chemically defined hydrogels with tunable stiffness guide cerebral organoid formation and modulate multi-omics plasticity in cerebral organoids.

Organoids are an emerging technology with great potential in human disease modelling, drug development, diagnosis, tissue engineering, and regenerative medicine. Organoids as 3D-tissue culture systems have gained special attention in the past decades due to their ability to faithfully recapitulate the complexity of organ-specific tissues. Despite considerable successes in culturing physiologically relevant organoids, their real-life applications are currently limited by challenges such as scarcity of an appropriate biomimetic matrix. Peptide amphiphiles (PAs) due to their well-defined chemistry, tunable bioactivity, and extracellular matrix (ECM)-like nanofibrous architecture represent an attractive material scaffold for organoids development. Using cerebral organoids (COs) as exemplar, we demonstrate the possibility to create bio-instructive hydrogels with tunable stiffness ranging from 0.69 kPa to 2.24 kPa to culture and induce COs growth. We used orthogonal chemistry involving oxidative coupling and supramolecular interactions to create two-component hydrogels integrating the bio-instructive activity and ECM-like nanofibrous architecture of a laminin-mimetic PAs (IKVAV-PA) and tunable crosslinking density of hyaluronic acid functionalized with tyramine (HA-Try). Multi-omics technology including transcriptomics, proteomics, and metabolomics reveals the induction and growth of COs in soft HA-Tyr hydrogels containing PA-IKVAV such that the COs display morphology and biomolecular signatures similar to those grown in Matrigel scaffolds. Our materials hold great promise as a safe synthetic ECM for COs induction and growth. Our approach represents a well-defined alternative to animal-derived matrices for the culture of COs and might expand the applicability of organoids in basic and clinical research. STATEMENT OF SIGNIFICANCE: Synthetic bio-instructive materials which display tissue-specific functionality and nanoscale architecture of the native extracellular matrix are attractive matrices for organoids development. These synthetic matrices are chemically defined and animal-free compared to current gold standard matrices such as Matrigel. Here, we developed hydrogel matrices with tunable stiffness, which incorporate laminin-mimetic peptide amphiphiles to grow and expand cerebral organoids. Using multi-omics tools, the present study provides exciting data on the effects of neuro-inductive cues on the biomolecular profiles of brain organoids.

Usefulness of Simple Diffusion Kurtosis Imaging for Head and Neck Tumors: An Early Clinical Study.

Diffusion kurtosis (DK) imaging (DKI), a type of restricted diffusion-weighted imaging, has been reported to be useful for tumor diagnoses in clinical studies. We developed a software program to simultaneously create DK images with apparent diffusion coefficient (ADC) maps and conducted an initial clinical study. Multi-shot echo-planar diffusion-weighted images were obtained at b-values of 0, 400, and 800 sec/mm2 for simple DKI, and DK images were created simultaneously with the ADC map. The usefulness of the DK image and ADC map was evaluated using a pixel analysis of all pixels and a median analysis of the pixels of each case. Tumor and normal tissues differed significantly in both pixel and median analyses. In the pixel analysis, the area under the curve was 0.64 for the mean kurtosis (MK) value and 0.77 for the ADC value. In the median analysis, the MK value was 0.74, and the ADC value was 0.75. The MK and ADC values correlated moderately in the pixel analysis and strongly in the median analysis. Our simple DKI system created DK images simultaneously with ADC maps, and the obtained MK and ADC values were useful for differentiating head and neck tumors from normal tissue.

3D Printing of Extracellular Matrix-Based Multicomponent, All-Natural, Highly Elastic, and Functional Materials toward Vascular Tissue Engineering.

3D printing offers an exciting opportunity to fabricate biological constructs with specific geometries, clinically relevant sizes, and functions for biomedical applications. However, successful application of 3D printing is limited by the narrow range of printable and bio-instructive materials. Multicomponent hydrogel bioinks present unique opportunities to create bio-instructive materials able to display high structural fidelity and fulfill the mechanical and functional requirements for in situ tissue engineering. Herein, 3D printable and perfusable multicomponent hydrogel constructs with high elasticity, self-recovery properties, excellent hydrodynamic performance, and improved bioactivity are reported. The materials' design strategy integrates fast gelation kinetics of sodium alginate (Alg), in situ crosslinking of tyramine-modified hyaluronic acid (HAT), and temperature-dependent self-assembly and biological functions of decellularized aorta (dAECM). Using extrusion-based printing approach, the capability to print the multicomponent hydrogel bioinks with high precision into a well-defined vascular constructs able to withstand flow and repetitive cyclic compressive loading, is demonstrated. Both in vitro and pre-clinical models are used to show the pro-angiogenic and anti-inflammatory properties of the multicomponent vascular constructs. This study presents a strategy to create new bioink whose functional properties are greater than the sum of their components and with potential applications in vascular tissue engineering and regenerative medicine.

Sterol methyltransferases in uncultured bacteria complicate eukaryotic biomarker interpretations.

Sterane molecular fossils are broadly interpreted as eukaryotic biomarkers, although diverse bacteria also produce sterols. Steranes with side-chain methylations can act as more specific biomarkers if their sterol precursors are limited to particular eukaryotes and are absent in bacteria. One such sterane, 24-isopropylcholestane, has been attributed to demosponges and potentially represents the earliest evidence for animals on Earth, but enzymes that methylate sterols to give the 24-isopropyl side-chain remain undiscovered. Here, we show that sterol methyltransferases from both sponges and yet-uncultured bacteria function in vitro and identify three methyltransferases from symbiotic bacteria each capable of sequential methylations resulting in the 24-isopropyl sterol side-chain. We demonstrate that bacteria have the genomic capacity to synthesize side-chain alkylated sterols, and that bacterial symbionts may contribute to 24-isopropyl sterol biosynthesis in demosponges. Together, our results suggest bacteria should not be dismissed as potential contributing sources of side-chain alkylated sterane biomarkers in the rock record.

Diarrhoeal pathogens in the stools of children living with HIV in Ibadan, Nigeria.

Introduction: Diarrhoea can be debilitating in young children. Few aetiological investigations in Africans living with human immunodeficiency virus (HIV) have been performed since antiretrovirals became widely available. Methods: Stool specimens from children with diarrhoea living with HIV, and HIV-uninfected controls, recruited at two hospitals in Ibadan, Nigeria, were screened for parasites and occult blood, and cultured for bacteria. Following biochemical identification of at least five colonies per specimen, diarrhoeagenic Escherichia coli and Salmonella were confirmed by PCR. Data were line-listed and comparisons were made using Fisher's Exact test. Results: Only 10 children living with HIV could be enrolled during the 25-month study period and 55 HIV-uninfected children with diarrhoea were included for comparison. The most common pathogens overall were enteroaggregative E. coli (18/65, 27.7%), enteroinvasive E. coli (10/65, 15.4%), Cryptosporidium parvum (8/65, 12.3%) and Cyclospora cayetanensis (7/65, 10.8%). At least one pathogen was detected from seven of ten children living with HIV and 27 (49.1%) HIV-uninfected children. Parasite detection was associated with HIV positive status (p=0.03) with C. parvum specifically recovered more commonly from children living with HIV (p=0.01). Bacterial-parasite pathogen combinations were detected in specimens from four of ten children living with HIV but only 3(5.5%) HIV-uninfected children (p=0.009). Stools from five of ten children living with HIV and 7(12.7%) HIV-negative children (p = 0.014) contained occult blood. Discussion: Even though children living with HIV present infrequently to Ibadan health facilities with diarrhoea, their greater propensity for mixed and potentially invasive infections justifies prioritizing laboratory diagnosis of their stools.

Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging.

A number of restricted diffusion (RD) imaging techniques, such as diffusion kurtosis (DK) imaging and Q space imaging, have been developed and proven to be useful for the diagnosis of diseases, including cerebral gliomas and cerebrovascular infarction. In particular, apparent diffusion coefficient (ADC) subtraction method (ASM) imaging has become available recently as a novel RD imaging technique. ASM is based on the difference between the ADC values in an image pair of two ADC maps, ADC basic (ADCb) and ADC modify (ADCm), which are created from diffusion-weighted images taken using short and long effective diffusion times, respectively. The present study aimed to assess the potential of different types of ASM imaging by comparing them with DK imaging which is the gold-standard RD imaging technique. In the present basic study using both polyethylene glycol phantom and cell-containing bio-phantom, three different types of ASM images were created using different calculation processes. ASM/A is an image calculated by dividing the absolute difference between ADCb and ADCm by ADCb several times. By contrast, ASM/S is an image created by dividing the absolute difference between ADCb and ADCm by the standard deviation of ADCb several times. As for positive ASM/A image (PASM/A), the positive image, which was resultant after subtracting ADCb from ADCm, was divided by ADCb several times. A comparison was made between the types of ASM and DK images. The results showed the same tendency between ASM/A in addition to both ASM/S and PASM/A. By increasing the number of divisions by ADCb from three to five times, ASM/A images transformed from DK-mimicking to more RD-sensitive images compared with DK images. These observations suggest that ASM/A images may prove useful for future clinical applications in RD imaging protocols for the diagnosis of diseases.

Quantitative evaluation of the reduction of distortion and metallic artifacts in magnetic resonance images using the multiacquisition variable­resonance image combination selective sequence.

Magnetic resonance imaging (MRI) is superior to computed tomography (CT) in determining changes in tissue structure, such as those observed following inflammation and infection. However, when metal implants or other metal objects are present, MRI exhibits more distortion and artifacts compared with CT, which hinders the accurate measurement of the implants. A limited number of reports have examined whether the novel MRI sequence, multiacquisition variable-resonance image combination selective (MAVRIC SL), can accurately measure metal implants without distortion. Therefore, the present study aimed to demonstrate whether MAVRIC SL could accurately measure metal implants without distortion and whether the area around the metal implants could be well delineated without artifacts. An agar phantom containing a titanium alloy lumbar implant was used for the present study and was imaged using a 3.0 T MRI machine. A total of three imaging sequences, namely MAVRIC SL, CUBE and magnetic image compilation (MAGiC), were applied and the results were compared. Distortion was evaluated by measuring the screw diameter and distance between the screws multiple times in the phase and frequency directions by two different investigators. The artifact region around the implant was examined using a quantitative method following standardization of the phantom signal values. It was revealed that MAVRIC SL was a superior sequence compared with CUBE and MAGiC, as there was significantly less distortion, a lack of bias between the two different investigators and significantly reduced artifact regions. These results suggested the possibility of utilizing MAVRIC SL for follow-up to observe metal implant insertions.

The Evolution of Hypertension Guidelines Over the Last 20+ Years: A Comprehensive Review.

Hypertension is the most common modifiable risk factor for cardiovascular and cerebrovascular diseases. In the last two decades, the guidelines have evolved tremendously from areas with no recommendations for screening or treatment to targeted recommendations for some at-risk groups. We sought to go through the literature that provided guidelines for the management of hypertension at any point in time over the last 22 years from 2000 to 2022. We searched four databases: PubMed, Embase, Google Scholar, and Cochrane, using specified search terms. The keywords used were "hypertension" and "guidelines." We combined them using the Boolean operators (AND, OR) and searched for articles. A total of 2461 publications were initially identified; 348 publications were excluded after screening for full-text availability. The full-text articles were further filtered based on title and abstract screening. Following this, a total of 1443 articles were excluded. The remaining 670 full-text articles were assessed for eligibility. Of the 670 full-text articles, 480 were excluded based on exclusion criteria, and following the full-text article screening, 190 articles met the final inclusion criteria. Most of these guideline evolutions concerned establishing and adjusting thresholds for the subgroups of the elderly population and patients with diabetic kidney disease, chronic kidney disease, and stroke. Furthermore, the medications of choice are now guided by the stage of disease, presence or absence of comorbidities, and other relevant information, as opposed to ethnicity, which was previously a heavy yardstick for medication choice.

Impact of Adverse Childhood Experiences on Resilience and School Success in Individuals With Autism Spectrum Disorder and Attention-Deficit Hyperactivity Disorder.

Adolescents with emotional and behavioral disorders face known academic challenges and poor life outcomes. It was imperative to explore and find if the new diagnostic criterion for diagnosing autism profoundly affects educational outcomes and resilience in individuals diagnosed with co-occurring autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD). The literature is robust on the impact of adverse childhood experiences (ACEs) on educational outcomes and resilience in adolescents with no history of disability. Still, there remains a dearth of literature explaining, with no ambiguity, the complex relationships between ACEs and resilience, school engagement, and success in individuals with co-occurring ASD and ADHD. This study reviews the existing scholarships on the topic. The significance of this review is that it informs healthcare providers, rehabilitation counselors, and educators about the need for early identification of individuals with ASD and ADHD with a background in ACEs. This will enable interventions early enough to ensure they are more resilient and can obtain improved success in school-related and outside-school activities and eventually improved quality of life.

Cost-effectiveness analysis of autogenous arteriovenous fistula, arteriovenous graft, and tunneled-cuffed catheter for hemodialysis in patients with end-stage kidney disease in Southern China.

OBJECTIVES: To evaluate the cost-effectiveness of three permanent vascular accesses for maintenance hemodialysis patients from a hospital perspective throughout 5 years, which is the average life expectancy of patients with end-stage kidney disease. SUBJECTS AND METHODS: We conducted a EuroQol(EQ-5D) questionnaire survey between January 2021 and March 2021 with 250 patients to estimate the health utility of various states in patients under different hemodialysis vascular access. We designed a Markov model and conducted a cost-effectiveness analysis to compare the cost-effectiveness of three hemodialysis vascular access in Guangzhou throughout 5 years. RESULTS: The mean costs were US$44,481 with tunneled-cuffed catheter (TCC), and US$68,952 and US$59,247 with arteriovenous graft (AVG) and autogenous arteriovenous fistula (AVF), respectively. The mean quality-adjusted life-years (QALYs) was 1.41 with TCC, and 2.37 and 2.73 with AVG and AVF, respectively. AVG had an incremental cost-effectiveness ratio (ICER) of US$25,491 per QALY over TCC; AVF had an ICER of -US$26,958 per QALY over AVG. At a willingness to pay below US$10,633.8 per QALY, TCC is likely the most cost-effective vascular access. At any willingness to pay between US$10,633.8 and US$30,901.4 per QALY, AVF is likely the most cost-effective vascular access. CONCLUSION: These findings illustrate the value of AVF given its relative cost-effectiveness to other hemodialysis modalities. Although AVG costs much more than TCC for slightly higher QALYs than TCC, AVG still has a greater advantage over TCC for patients with longer life expectancy due to its lower probability of death.

An Epidemiological Analysis of the Recipients of the First Dose of the First Phase of COVID-19 Vaccination in Oyo State, South-Western Nigeria.

BACKGROUND: Millions of people across the globe have been infected with coronavirus disease (COVID-19), and many lives have been lost in the process. As a result, vaccines are being developed to protect people from COVID-19 morbidity and mortality. Therefore, this study was conducted to assess the coverage rate for the COVID-19 vaccine in Oyo State. METHODS: A descriptive secondary analysis of COVID-19 immunization data was done between March and April 2021. Data were extracted from the original paper format and entered into Excel sheets. Charts and line graphs were plotted to determine the coverage rates. RESULTS: The overall coverage rate for the State was 81.0%. The highest and lowest coverage rates were 243.0% and 39.0% for Ibadan North and Iseyin Local Government Areas (LGAs), respectively. The proportion of female health workers vaccinated in the State was 64.5%. The proportion of male strategic leaders and male frontline workers was 62.5% and 55.7%, respectively. Akinyele and Egbeda LGAs recorded the same highest number of cases (27) of adverse events following immunization (AEFI). CONCLUSION: The study highlights the high proportion of vaccinated people in the State, while there was a low proportion of vaccinees in some LGAs. Therefore, effort to scale-up coverage across all the LGAs is recommended.

CONTEXTE: Des millions de personnes dans le monde ont été infectées par le COVID-19 et de nombreuses vies ont été perdues dans ce processus. En conséquence, des vaccins sont en cours de développement pour protéger les personnes contre la morbidité et la mortalité liées au COVID-19. Cette étude a donc été menée pour évaluer le taux de couverture du vaccin COVID-19 dans l'Etat d'Oyo. MÉTHODES: Une analyse secondaire descriptive des données de vaccination COVID-19 a été réalisée entre mars et avril 2021. Les données ont été extraites du format papier original et saisies dans des feuilles Excel. Des diagrammes et des graphiques linéaires ont été tracés pour déterminer les taux de couverture. RÉSULTATS: Le taux de couverture global de l'État était de 81,0 %. Les taux de couverture les plus élevés et les plus faibles étaient respectivement de 243,0 % et 39,0 % pour les zones de gouvernement local (LGA) d'Ibadan Nord et d'Iseyin. La proportion d'agents de santé féminins vaccinés dans l'État était de 64,5 %. La proportion d'hommes leaders stratégiques et d'hommes travailleurs de première ligne était respectivement de 62,5 % et 55,7 %. Les LGA d'Akinyele et d'Egbeda ont enregistré le même nombre élevé de cas (27) d'événements indésirables après la vaccination (EIAS). CONCLUSION: L'étude met en évidence la forte proportion de personnes vaccinées dans l'état, alors qu'il y avait une faible proportion de vaccinés dans certaines zone de gouvernement local. Il est donc recommandé de déployer des efforts pour augmenter la couverture vaccinale dans toutes les AGL. Mots clés: Épidémiologie, COVID-19, vaccin, première phase, Nigéria.

Tuning the Cell-Adhesive Properties of Two-Component Hybrid Hydrogels to Modulate Cancer Cell Behavior, Metastasis, and Death Pathways.

This work presents a polysaccharide and protein-based two-component hybrid hydrogel integrating the cell-adhesive gelatin-tyramine (G-Tyr) and nonadhesive hyaluronic acid-tyramine (HA-Tyr) through enzyme-mediated oxidative coupling reaction. The resulting HA-Tyr/G-Tyr hydrogel reflects the precise chemical and mechanical features of the cancer extracellular matrix and is able to tune cancer cell adhesion upon switching the component ratio. The cells form quasi-spheroids on HA-Tyr rich hydrogels, while they tend to form an invasive monolayer culture on G-Tyr rich hydrogels. The metastatic genotype of colorectal adenocarcinoma cells (HT-29) increases on G-Tyr rich hydrogels which is driven by the material's adhesive property, and additionally confirmed by the suppressed gene expressions of apoptosis and autophagy. On the other hand, HA-Tyr rich hydrogels lead the cells to necrotic death via oxidative stress in quasi-spheroids. This work demonstrates the ideality of HA-Tyr/G-Tyr to modulate cancer cell adhesion, which also has potential in preventing primary metastasis after onco-surgery, biomaterials-based cancer research, and drug testing.

Evaluation of Fast Diffusion Kurtosis Imaging Using New Software Designed for Widespread Clinical Use.

Clinical research using restricted diffusion-weighted imaging, especially diffusion kurtosis (DK) imaging, has been progressing, with reports on its effectiveness in the diagnostic imaging of cerebral infarctions, neurodegenerative diseases, and tumors, among others. However, the application of DK imaging in daily clinical practice has not spread because of the long imaging time required and the use of specific software for image creation. Herein, with the aim of promoting clinical research using DK imaging at any medical facility, we evaluated fast DK imaging using a new software program. We developed a new macro program that produces DK images using general-purpose, inexpensive software (Microsoft Excel and ImageJ), and we evaluated fast DK imaging using bio-phantoms and a healthy volunteer in clinical trials. The DK images created by the new software with diffusion-weighted images captured with short-time imaging sequences were similar to the original DK images captured with long-time imaging sequences. The DK images using three b-values, which can reduce the imaging time by 43%, were equivalent to the DK images using five b-values. The DK imaging technique developed herein might allow any medical facility to increase its daily clinical use of DK imaging and easily conduct clinical research.

Supporting patients to get the best from their osteoporosis treatment: a rapid realist review of what works, for whom, and in what circumstance.

Systematic reviews that examine effectiveness of interventions to improve medicines optimisation do not explain how or why they work. This realist review identified that interventions which effectively optimise medicines use in osteoporosis include opportunities to address patients' perceptions of illness and treatment and/or support primary care clinician decision making. INTRODUCTION: In people with osteoporosis, adherence to medicines is poorer than other diseases and patients report follow-up is lacking, and multiple unmet information needs. We conducted a rapid realist review to understand what contextual conditions and mechanisms enable interventions to support osteoporosis medication optimisation. METHODS: A primary search identified observational or interventional studies which aimed to improve medicines adherence or optimisation; a supplementary second search identified research of any design to gain additional insights on emerging findings. Extracted data was interrogated for patterns of context-mechanism-outcome configurations, further discussed in team meetings, informed by background literature and the Practicalities and Perception Approach as an underpinning conceptual framework. RESULTS: We identified 5 contextual timepoints for the person with osteoporosis (identifying a problem; starting medicine; continuing medicine) and the practitioner and healthcare system (making a diagnosis and giving a treatment recommendation; reviewing medicine). Interventions which support patient-informed decision making appear to influence long-term commitment to treatment. Supporting patients' practical ability to adhere (e.g. by lowering treatment burden and issuing reminders) only appears to be helpful, when combined with other approaches to address patient beliefs and concerns. However, few studies explicitly addressed patients' perceptions of illness and treatment. Supporting primary care clinician decision making and integration of primary and secondary care services also appears to be important, in improving rates of treatment initiation and adherence. CONCLUSIONS: We identified a need for further research to identify a sustainable, integrated, patient-centred, and cost- and clinically effective model of long-term care for people with osteoporosis.

Omics technologies for high-throughput-screening of cell-biomaterial interactions.

Recent research effort in biomaterial development has largely focused on engineering bio-instructive materials to stimulate specific cell signaling. Assessing the biological performance of these materials using time-consuming and trial-and-error traditional low-throughput screening techniques remains a critical challenge in the field. In contrast, the use of increasingly sophisticated omics technologies to facilitate high-throughput screening of unbiased global understanding of cell-biomaterial interactions at gene, epigenetic, mRNA, protein, metabolite, and lipid levels holds great potential to predict the therapeutic outcome of biomaterials with specific properties. In this review, we highlight the potential use of omics technologies - namely transcriptomics, proteomics, metabolomics and lipidomics - in biomaterial design and deciphering of the fundamental cell behaviors (e.g., adhesion, migration, differentiation) in response to cell-biomaterial interactions. Moreover, the potential challenges and prospects of high-throughput analysis platforms are discussed rationally, providing an insight into the developing field and its use in biomaterials science.