detection

The emergence of dramatic urinary tract infections (UTIs) caused by the members of the Enterobacteriales is an important public health problem in the community as well as in Tunisian hospitals. This study aims to investigate the prevalence of extended-spectrum β-lactamase (ESBL) and carbapenemase-producing uropathogenic isolates of Escherichia coli (E. coli) and Klebsiella pneumoniae (K. pneumoniae). Based on decreased susceptibility to β-lactams antibiotics and analyzed for the presence of ESBL and carbapenemase genes by Real Time- polymerase chain reaction (RT-PCR), 56 uropathogenic isolates of E. coli (n = 36) and K. pneumoniae (n = 20) were confirmed positive for ESBLs. The CTX-M-type β-lactamases were mostly detected in E. coli isolates (21 strains, 58.33% [95% CI 38.09% - 72.06%]) followed by blaSHV-like (18 strains, 50% [95% CI 32.92% - 67.07%]), blaTEM-like and blaCMY-2-like simultaneously (15 strains, 41.67% [95% CI 25.51% - 59.24%]). Furthermore, the RT-PCR system on the K. pneumoniae strains demonstrated that blaSHV-12-like was the most predominant (16 strains, 80% [95% CI 56.33% - 94.26%]) followed by blaTEM-like (14 strains, 70% [95% CI 45.72% - 88.10%]), blaCTX-M belonging to groups 9 and 1 (11 strains, 55% [95% CI 31.52% - 76.94%]) and finally blaCMY-2-like (10 strains, 50% [95% CI 27.19% - 72.80%]). In addition, E. coli and K. pneumoniae strains harbored a carbapenemase gene blaOXA-48-like with 22.2% [95% CI 10.11% - 39.15%]; 20% [95% CI 12.83% - 43.66%], respectively.Our results confirm the need to monitor the resistance to extended-spectrum β-lactams and to carbapenems among enterobacteria in Tunisia.

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.

Targeted screening for Cytomegalovirus (CMV) in Deaf and Hard of Hearing (DHH) children is now internationally recommended. With newborn genomic screening for DHH children a future possibility, the commercially-available human genomic DNA collection kit (ORACollect, Oragene OCR-100) could enable one single sample to screen for CMV and genetic causes of deafness at scale with minimal additional costs. Our pilot study validated ORACollect against Copan FLOQswabs® (gold standard clinical procedure) for detecting CMV using 15 sets of saliva samples from 14 infants/children, comparing CMV PCR results using different testing protocols. ORACollect stored at room temperature had high sensitivity (up to 89%), specificity (up to 80%) and percent agreement (up to 86%) in detecting CMV DNA compared to FLOQswabs®. This suggests that ORACollect is an appropriate alternative to FLOQswabs® for collecting viral CMV DNA for PCR testing, independent of the DNA extraction approach. This could be revolutionary in facilitating dual genomic and viral screening in newborns and would enable CMV screening in non-tertiary hospital settings where laboratory facilities are not available.

The well-documented therapeutic potential of group singing for patients living with Alzheimer’s disease (PLAD) has been hindered by COVID-19 restrictions, exacerbating loneliness and cognitive decline among seniors in residential and long-term care centers (CHSLDs). Addressing this challenge, the multidisciplinary study aims to develop a patient-oriented virtual reality (XR) interaction system facilitating group singing for mental health support during confinement and enhancing the understanding of the links between Alzheimer’s disease, social interaction, and singing. The researchers also propose to establish an early AD detection system using voice, facial, and non-invasive biometric measurements and validate the efficacy of selected intervention practices. The methodology involves co-designing an intelligent environment with caregivers to support PLAD mental health through online group singing, addressing existing constraints in CHSLDs. The researchers will engage volunteers in remote singing interactions and validate the impact of voice stimulation for PLADs using a control group. The primary expected outcome is the development of an “Intelligent Learning Health Environment,” fostering interactions while adapting to individual PLAD situations and incrementally accumulating knowledge on AD signs. This environment will facilitate the transfer of knowledge and technologies to promote non-verbal interactions via singing, enabling intervention at the first symptoms. Additionally, the research will contribute to transforming CHSLDs’ living environments, informed by neuroscience insights, and potentially extend the “collaborative self-care” approach to support seniors in aging safely and healthily at home.

Pre-eclampsia is a pregnancy-associated condition, which is characterized by the onset of hypertension and proteinuria. It is one of the leading causes of maternal and neonatal mortality and this affliction has been recorded in around 8% of all pregnancies in the world. In addition to this, the etiopathology of this condition is very less understood and the resources available to diagnose and treat it are limited. Prior studies suggest more than a hundred possible diagnostic biomarkers that could be used to detect this disease early on. However, most of them are not feasible due to several reasons including stability, cost, safety, etc. Here two biomarkers HtrA3 (high-temperature requirement A3) and NGAL (Neutrophil Gelatinase Associated Lipocalin) are selected for the detection of pre-eclampsia, and we compare their efficacy in the detection of pre-eclampsia based on their specificity, ease of use, speed, stage of detection and source (invasiveness). We found that these two biomarkers are efficient under some parameters, and inefficient under others. The scoring system used in the current study suggests that NGAL is a superior biomarker. The results of this study help to develop a stronger understanding of both these biomarkers in the short and long term to classify the biomarkers more efficiently and understand the complicated pathologies of pre-eclampsia.

Introduction: In the present study we evaluated and compared RBC parameters, iron status, and ferritin for discriminating between patients with iron deficiency anemia and anemia of chronic disease. Anemia that accompanies infection, inflammation, and cancer, is commonly termed anemia of chronic disease (ACD). Methods: We compared the ability of serum ferritin concentration, using the microplate immunoenzymometric assay method with other, more traditional indicators of iron status like total iron binding capacity [TIBC], mean corpuscular volume [MCV], percent transferrin saturation [%TS], RBC distribution width [RDW], and serum iron concentration [SIC]. The ferritin concentration was determined in 80 serum samples selected from men and women above the age of 18 years. The patients were assigned to IDA and ACD groups based on serum ferritin concentration.Observation: By studying the ROC Curve for various red cell parameters for the diagnosis of IDA and ACD, we found that diagnostic accuracy of various indicators was as follows TIBC>TS%>MCV>MCH>SI>MCHC for anemia of chronic diseases, and TIBC>MCH>MCV>MCHC>TS%>SI for iron deficiency anemia. When both the value of AUCs (Area under Curve) of ROC were compared it is apparent that TIBC, TS%, MCV, and MCH are important discriminating factors between IDA and ACD. Conclusion: Conventional laboratory parameters play an important role in distinguishing overt causes of IDA and ACD. MCV, MCH, and TIBC were found to be (p -value < .05) significantly discriminated against IDA and ACD. Serum ferritin is an important diagnostic tool with reasonable accuracy for the detection and differentiation of iron deficiency anemia and anemia of chronic disease.

Brf1 (TFIIB-related factor 1) is a transcription factor, which specifically modulates the transcription of RNA polymerase III-dependent genes (RNA Pol III genes), such as tRNAs and 5S rRNA. The products of tRNAs and 5S rRNA transcription will be changed with the alteration of Brf1 expression. Whereas deregulation of Brf1 and RNA Pol III genes are tightly associated with cell proliferation and transformation, and tumorigenesis. In recent years, emerging studies indicate that Brf1 expression is increased in patients with cancers. In this review, we summarize the progress of the abnormal expression of Brf1 in different human cancers to explore an underlying mechanism and its clinical implication, as well as to prompt its application prospect. With the depth of the Brf1 study and the progress of biotechnology, the status of Brf1 expression may be used as a universal indicator of the early detection and prognosis observation of human cancers.

Introduction: Thalassemia is an inherited blood disorder of haemoglobin (Hb) synthesis, which affects different regions around the world. India has the largest number of children with beta-thalassemia major in the world, particularly in the tribal population. Heterozygous conditions are milder and even go unreported than the condition of homozygous where regular blood transfusion is required.Case report: This report focuses on a case of major beta-thalassemia in a child, whose parents are beta thalassemia minor to intermediate conditions, and who was treated by blood transfusion once a month. However, Thalassemia may be cured by allogeneic hematopoietic stem cell transplantation, although not everyone is a good candidate. Genetic counselling, prenatal diagnosis, and selective termination of affected fetuses are effective ways to control thalassemia.Discussion and conclusion: The paper reports a unique case of Thalassemia in rural India. The blood disorder while commonly presented in a juvenile whose parents were Thalassemia positive resulted in the termination of a fetus diagnosed with it. It archives the story of the parents who are now in the process of planning future offspring while mitigating disease risk. The case leads the way for effective management and containment of hereditary genetic disorders through carrier detection while planning alliances and offspring.

Endometrial Stromal Sarcoma (ESS) is a rare gynecological malignancy originating from endometrial stromal tissue. Representing only a tenth of uterine malignant tumors, ESS is categorized into Low-Grade (LGESS) and High-Grade (HGESS) based on nuclear division. Interestingly, prognostic studies have found no strong correlation between ESS prognosis and nuclear division activity. Undifferentiated Uterine Sarcoma (UUS) represents a spectrum of tumors with varied morphological, clinical, and prognostic features, and lacks a standardized naming convention. In 2014, the World Health Organization grouped ESS into LGESS, HGESS, and UUS based on clinical and pathological attributes. HGESS, despite its rarity, is notorious for its poor prognosis and low survival rate. Its early detection is complicated due to its asymptomatic presentation and ambiguous pathogenesis, leading to debates over treatment approaches. This article delves into the recent research developments concerning HGESS.

Background: Early-onset sarcoidosis is a rare systemic inflammatory granulomatous disease, distinguished by onset before the age of 4 and notably lacking pulmonary involvement. Unfortunately, the condition often shows clinical features similar to juvenile idiopathic arthritis, resulting in the misdiagnosis of numerous patients. This case report delves into the challenges associated with the delayed diagnosis of early-onset sarcoidosis, with a particular focus on the diagnostic methods employed to address this delayed recognition.Case presentation: A 15-year-old girl presented with a history of recurrent fever since infancy, accompanied by rash, arthritis, and joint deformity. Previously misdiagnosed with juvenile idiopathic arthritis, she underwent management with steroids and methotrexate, yielding no improvement. The diagnosis of early-onset sarcoidosis was made during adolescence based on serial examinations, comprehensive laboratory and radiological evaluations, and subsequent histopathology findings. Presently, the patient is receiving treatment with low-dose steroids and biologic therapy (Tocilizumab) and experiencing no disease progression.Conclusion: This case report underscores the importance of considering early-onset sarcoidosis in the differential diagnosis of pediatric patients exhibiting persistent arthritis from an early age. Early detection and treatment are crucial in averting complications and enhancing the overall quality of life. 

Over the past many decades, scientific research and practical efforts in the field of acute nonspecific inflammation of the lung tissue have been aimed at early detection of the pathogen and its suppression.

Introduction: The current gold standard for SARS-CoV-2 diagnosis by real-time RT-PCR has limitations of gene numbers that can be detected. In this study, we developed a low-cost and high-throughput next-generation sequencing technology that can overcome the limitations of RT-PCR. Methodology: A targeted sequencing panel (TSP) consisting of approximately 500 amplicons was designed that can simultaneously detect a broad range of gene loci of SARS-CoV-2 and genes for the most common viruses of respiratory infectious viruses in a single run of up to 96 samples. 448 samples and 31 control samples were examined independently with both TSP and RT-PCR, results were compared for accuracy and other indicators. Results:  TSP identified 50 SARS-CoV-2 positive samples with a 99.33% match to RT-PCR results. It is not surprising that TSP also identified multiple viral infections from 96 samples, whereas RT-PCR could not. TSP demonstrated its ability to conclude diagnosis for those undecided from RT-PCR tests. Conclusion: Our data demonstrated that TSP is a fast and accurate test for detecting multiple pathogen infections of the respiratory tract.

Sensory and sensorimotor conflicts can lead to sensory and motor efficiency disturbances, such as pain and less efficient motor control. Vertical heterophoria (VH) and vertical orthophoria (VO) are respectively the latent vertical misalignment of the eyes when the retinal images are dissociated, or not. Mild VH (< 0.57°) could indicate the presence of a conflict resulting from eye refraction problems and/or a disruption of the somaesthetic cues. Canceling the conflict(s) can immediately restore VO, making it possible to observe an improvement in the mobility of spinal and peripheral joints, the performance in the motor and balance tests after initial alternation, and a decrease in pain. The Maddox Rod Test was used to detect mild VH but doesn’t determine the sensory conflict origin. The aim of this retrospective study is to show its use as a landmark in which sensory afferent conflict could induce symptoms (i.e. pain; decreased range of motion; nonoptimal postural and motor control) and how to manage it, analyzing data from 525 subjects. The clinical process is intended to inhibit or neutralize afferent signals involved in the sensorimotor loops required by the central nervous system in motor control in order to spot the locus of conflict (stomatognathic system, pelvis, plantar afferences, piercings (body art) or/and eye refraction problems). This investigation protocol based on VH detection provides trackers for the therapeutic intervention in the management of nonspecific chronic pain, non-contact injuries, and prevention, and a key role for practitioners in the multidisciplinary management required for patients/athletes, in the world of work/health.

The rising prevalence of chronic diseases and the aging population globally are diminishing the overall quality of life, especially for those with demanding daily routines. As medical advancements extend lifespans, the proportion of individuals over 60 is set to double by 2050, necessitating societal shifts toward health-responsible citizenship. Despite longer lifespans, evidence suggests that older age often accompanies mental health challenges such as anxiety, depression, and substance misuse. Social isolation and loneliness further compound these issues, affecting both physical and mental well-being. Digital wellness empowers individuals to take charge of their health, promoting proactive care and literacy to foster health-conscious citizenship. This paper explores the intersection of mental health, aging populations, preventive wellness initiatives, and health literacy, emphasizing their significance within the Health 5.0 framework, especially for older adults. Traditionally, health regulators offer static workflows for adopting standard procedures in health and well-being, reflecting a reactive approach. However, the evolving landscape of wearable and mobile devices connecting to healthcare IT systems through secure online networks necessitates a shift. Technology now facilitates remote patient monitoring and telemedicine service subscriptions and empowers individuals to manage their health proactively.The BE4YOU project, conducted in Portugal, serves as a case study, facilitating individual maintenance of health and well-being through intelligent and dynamic workflows, which are defined based on analytical models considering each person’s risk profile. By facilitating data sharing, promoting healthy lifestyles, and enabling early detection of mental health issues, the project leverages technology to support personalized monitoring and enhance overall health outcomes. Through technology-driven empowerment, individuals and healthcare professionals are better equipped to assess risks and ensure ongoing wellness monitoring, underscoring the role of technology in fostering personal health and supporting healthcare effectiveness.

Oral Cancer (OC) or squamous cell carcinoma of the oral cavity accounts for approximately 3% of all cancers worldwide, with increased incidence in developing countries. The use of tobacco is directly associated with approximately 80% of oral cancers, especially in older men over 40 years of age. As nearly one-third of the Indian population over 15 years consume smokeless tobacco in one or the other forms, a recent increase has been observed in OC incidence among women and young adults. Lately, the sexual behaviors of young & homosexuals have resulted in the emergence of oropharyngeal cancers due to infection with HPV 16. About 60% of oral cancer cases in India have a five-year survival rate, and this can be improved to 70% to 90% by mere early detection in stages I and II and with various treatment modalities. Despite the well-known benefits of oral cancer screening for the whole population in developing countries remains controversial. It is imperative to address the cultural barriers and societal norms, which limit the acceptability and participation in screening programs in India and many developing countries. This unique challenge of increasing OC morbidity in India and developing countries requires horizontal integration of the health systems with new services focused on cancer control, which gives the best chance for long-term survival, improved outcomes, and affordable care!This article is based on the author’s experience of overseeing 1 case of early detection and 2 cases of delayed diagnosis, outcomes and relevant literature review, and current guidelines for the management of OC.

Microchip implants have emerged as transformative tools in the realm of oral health and craniofacial science, offering novel solutions to longstanding challenges. This paper aims to explore the diverse applications of microchip technology in dentistry and craniofacial medicine, envisioning a future where these implants play a pivotal role in diagnostics, treatment modalities, and ongoing patient care. The integration of microchips enables real-time monitoring of oral conditions, facilitating early detection of dental issues and providing personalized treatment strategies. Additionally, these implants open avenues for smart prosthetics and orthodontic devices, optimizing patient comfort and treatment outcomes. However, ethical considerations, patient perceptions, and the societal impact of such technology should also be addressed. By examining the multifaceted implications and applications of microchip implants in oral health and craniofacial science, this research overview seeks to contribute valuable insights to the intersection of technology and healthcare in the dental domain.

Testing the antimicrobial efficiency of plastics with good precision and repeatability remains a challenge in the plastic industry, as commonly used standards can provide unreliable data. In this paper, we show that the “Bacterial Liquid Suspension Test” is a reliable method that allows for the measurement of antimicrobial activity of poor to very potent biocides. We used this technique to discriminate the performance of two Cu-based biocides, either in nanoparticle (NP) or macroparticle (MP) size, at three different loadings (0.02, 0.2 and 2 wt.%) in PP. With this technique, we also tested the antibacterial performance of PP as powders, pellets, and injection molded disks. As anticipated, the technique shows that both the increased loading and the smaller particle size showed higher antimicrobial activity than the larger particle size due to their increased surface area. Also, PP powders showed greater bacterial reduction than pellets and disks. While the PP with 2 wt.% Cu NPs showed the best antimicrobial performance, the detection of Cu at the surface (using SEM-EDX) and in the water leachate (using ICP-MS) were below the LODs, indicating their ability to kill bacteria.

Chemical submission is a crime where criminals use substances to impose their will on victims. A 44-year-old woman comes to the Health Center disoriented in the temporal sphere, stating that “she does not remember what happened.” Her brother, the companion who brings her to the health center, says that he has found her in a place he does not usually frequent. The patient missed a bag she was carrying and could not locate her mobile phone. The patient and companion suspect that she may have been “drugged” in order to rob them. Given the suspicion that the patient may have been a victim of chemical submission, the Emergency Service is called to inform that the victim is going to be referred. The detection of biological samples of the substances used for submission is of vital importance.

It is quite alarming the increasing rate of antibacterial resistance all over the world considering the public health threat and the re-emergence of multi-drug resistant Enterobacteriaceae. The aim of this study is Antibacterial resistance and phenotypic detection of Extended Spectrum Beta-Lactamase (ESBL) producing Enterobacteriaceae isolated from human and animal fecal samples in selected local government areas of Nasarawa state, Nigeria was carried out in the study. Hundred (100) samples comprising human and animal (goats, cattle, and chicken) were collected and 55 samples were multidrug resistant. A commercial biochemical kit (Eneterosystem 18R) was used for the isolation and identification of Enterobacteriaceae. Kirby Bauer Disk Diffusion Method was used for antibacterial susceptibility testing of Enterobacteriaceae isolates. The Double Disc Synergy Test (DDST) method was also used for the phenotypic confirmation test of Extended Spectrum Beta Lactamase (ESBL). The occurrence of multidrug-resistant isolates shows that Escherichia coli (100.00%) which is the highest, Proteus mirabilis (14.54%), Klebsiella pneumoniae, and Salmonella enterica (10.90%), while the occurrence of Shigella flexneri (9.09%) was the lowest. The Enterobacteriaceae isolates were more resistant to Cefuroxime, Cefexime, Amoxicillin Clavulanate, and Imipenem/Cilastatin with percentage resistance ranges from 66.6% - 100%. The occurrence of ESBL producers shows that Escherichia coli (60.00%) and Proteus mirabilis (62.5%) were high while Shigella flexneri (20.0%) had a low occurrence of ESBL. The sale and in-discriminate use of antibiotics without a prescription is an important regulatory issue in the abuse of antibiotics for both humans and animals. The Beta-Lactam and gentamycin antibiotics were not effective against the Multi-Drug Resistant (MDR) isolates and most of the isolates were ESBL producers.

Mesoscopic modeling of complex systems involves thermodynamic nonequilibrium of discrete scaling. Further from quantum correlation on a chip retrieved quantum nonlinear optics with single photons enabled by strongly interacting atoms. Accompanied by mesofractals as the development of meso & micro size fractal structures is required to mimic various biological systems for various functions. Showed through fluorapatite in gelatin‐based nanocomposite, fractal in DNA knots driven by balance of fission & fusion in mtDNA/mitochondrial DNA mechanism, for optical engines for light energy detection described the proportional integral derivative [PI(D)]‐controller set in microbial cells to HCCI/Homogeneous Charge Compression Ignition.