Mesenchymal stem cells are heterogenous adult multipotent stromal cells that can be isolated from various sources including bone marrow, peripheral blood, umbilical cord blood, dental pulp, and adipose tissue. They have certain regenerative, anti-inflammatory, immunomodulatory, immunosuppressive, antimicrobial, and other properties that enable them to have several therapeutic and clinical applications including treatment of various autoimmune disorders; role in hematopoietic stem cell transplantation and regenerative medicine; treatment of skin, pulmonary and cardiovascular disorders; treatment of neurological and eye diseases; as well as treatment of various infections and their complications. Different factors including donor age, biological source, route of administration, and signaling pathways have an impact on the functions and consequently the clinical applications of mesenchymal stromal cells. The products of mesenchymal stem cells such as extracellular vesicles and exosomes reproduce the biological effects and most of the therapeutic actions of the parent stem cells. Genetic engineering and the use of specific mesenchymal stromal cell products have improved their clinical efficacy and decreased their adverse effects. However, despite the recent progress in the use of mesenchymal stem cells, the clinical application of these cells in the treatment of several diseases still faces real challenges that need to be resolved. The current status of mesenchymal stem cells and the controversies related to their clinical utilization in various disease conditions will be thoroughly discussed in this review.

The drug and biopharmaceutical enterprises play a pivotal part in transforming healthcare through the incident and delivery of creative cures and remedies. This item explores the key facets of these areas, stressing their impact on healthcare.Pharmaceuticals, outlined as wealthy secondhand in the diagnosis, situation, or stop of disease, aim to restore, correct, or refine everyday functions. On the other hand, biopharmaceuticals (or biologicals) circumscribe sugars, proteins, nucleic acids, living containers, or tissues and are curative devices that arise natural beginnings to a degree persons, animals, or microorganisms. In contrast to common pills combined with synthetic processes, biopharmaceuticals are primarily acquired through unaffected processes, containing extraction from living constructions or production utilizing alteration of genetic material Table 1.•    Some usual biopharmaceuticals, originally gleaned from animals or persons, are immediately created through biotechnological advancements.•    For instance, healing insulin, previously gleaned from porcine pancreatic islets, is immediately made utilizing alteration of genetic material in yeast (Saccharomyces cerevisiae) or E. coli.•    Biopharmaceuticals caused by alteration of genetic material usually fall into three classifications:•    Substances nearly equal to the body’s own key signaling proteins.•    Monoclonal antibodies look like those caused by apiece human immune plan against bacteria.•    Receptor builds (fusion proteins) established uniformly happening receptors connected to the immunoglobulin frame.Examples includeFrom living systems: Whole blood and ancestry parts, organs and fabric transplants, stem containers, antibodies for inactive immunization, polluted microbiota, human bosom milk, and human reproductive containers.Produced by recombinant DNA: Blood determinants, fabric plasminogen activators, hormones, hematopoietic growth determinants, interferon, interleukin-located produce, vaccines, monoclonal antibodies, tumor loss determinants, therapeutic enzymes.•    Key dispute Pharmaceutical manufacturing•    Biopharmaceuticals•    Healthcare strike•    Innovative medicines•    Therapeutic fragments•    Recombinant DNA technologies•    Personalized cure•    Gene medicines•    Regulatory processes.

Known since antiquity, migraine is a complex primary disorder, an episodic painful Autonomic Nervous System (ANS) storm, generally following the stress/post-stress phase. Despite exhaustive study of neuropeptides, neurochemicals, molecules, neurogenetics, neuroimaging along with animal and human experiments over the last 50 years, the scientific basis of migraine remains unknown. Straddling eight decades from Cortical Spreading Depression (CSD) to Calcitonin-Gene Related Peptide (CGRP) and its antagonists, exponentially increasing data have failed to create a gestalt synthesis. This article lays cohesive and robust fundamental principles for the comprehension and management of migraine. The continuum between migraine and non-congestive Primary Open-Angle Glaucoma (POAG), Normal Tension Glaucoma (NTG), or Low-Tension Glaucoma (LTG) is advancing. The case of sustained remission of migraine attacks (> 75%) over 3 years - 5 years with ocular hypotensive topical Bimatoprost Ophthalmic Solution (BOS) 0.3% in an N-of-1 trial in 3 patients with refractory migraine is presented. A cause-effect-adaptive process underlies the ANS-stress/post-stress-linked biology of migraine. Vasopressin-serotonin-norepinephrine ‘homeostatic-adaptive system’ Lowers Intraocular Pressure (IOP), while enhancing anti-stress, antinociception, vasomotor, and behaviour control functions, thereby selectively decreasing algogenic neural traffic in the ophthalmic division of trigeminal nerve (V1), and, raising the threshold to develop migraine. Striking migraine headache-aborting feature of vomiting is also likely linked to a several hundred-fold increase in arginine-vasopressin secretion. Eye-cover tests and self-ocular digital displacement are essential to studying the visual aura. Real-time physical displacement of Scintillating Scotoma (SS) and floating ‘stars’ is reported. The basis of spontaneous onset and offset, self-limited duration of migraine attacks, as well as female preponderance, and age/menopause decline in prevalence, are elucidated. Intraocular implants with long-term ocular hypotensive effects, including bimatoprost, are the future of migraine management. Controlled trials are required to establish the migraine-preventive effect of topical bimatoprost, a revolutionary advance in neuroscience.

Introduction: The evolution of a patient with severe traumatic brain injury may require the use of a tracheostomy as part of respiratory weaning. The central question revolves around the optimal timing to replace intubation with tracheostomy. The aim of this study is to evaluate the hypothesis that early tracheostomy reduces the incidence of ventilator-associated pneumonia (VAP), the duration of mechanical ventilation (MV), and the length of stay in the intensive care unit (ICU).Materials and methods: This was a retrospective study including all patients admitted to the department over a period of 08 months. Various historical, demographic, clinical, biological, and progression-related covariates were collected upon admission.Results: Among the 69 patients included in the study who underwent surgical tracheostomy, two groups were formed: those who underwent early tracheostomy (within the first 8 days of mechanical ventilation) and those with late tracheostomy (after 8 days). The early group showed a significant reduction in the duration of mechanical ventilation (16 ± 3 days) and length of stay in the intensive care unit (17 ± 3 days) compared to the late group (23 ± 6 days and 30 ± 11 days, respectively). No significant differences were observed regarding the incidence of ventilator-associated pneumonia (VAP) and mortality between the two groups.Conclusion: This study strengthens the existing literature by demonstrating that early tracheostomy is associated with a reduction in the duration of MV and length of stay in the ICU.

Antibiotic resistance is a growing global crisis, straining healthcare systems and leaving us with limited options to combat drug-resistant bacteria. This retrospective, cross-sectional study examines the prevalence of antibiotic resistance patterns among urinary tract infections (UTIs) in Al-Shifa Hospital’s medical departments in comparison with non-medical departments using data from microbiology laboratory archives over a one-year period. From the examined urine cultures about 25% were obtained from internal medicine departments and double the number was obtained from non-medical departments. The positive rate was around 35% and about two-thirds of the samples were collected from female patients. Among all departments, Enterobacteriaceae spp. were found to be the most frequently isolated uropathogens, accounting for 80% of cases. However, resistance rates varied depending on the specific organism and antibiotic used. For instance, E. coli showed a resistance rate of only 5% against meropenem, while amoxicillin-clavulanic acid exhibited a resistance rate exceeding 95%.Importantly, the study revealed a significant disparity in resistance rates between medical and non-medical departments, specifically concerning third-generation cephalosporins. In internal medicine departments, resistance rates were alarmingly high, with cefotaxime, ceftriaxone, and ceftazidime showing resistance rates of 75%, 75% and 66.5% respectively. In contrast, non-medical departments displayed lower resistance rates, approximately 60%, 60% and 40%, respectively.In summary, this research sheds light on the escalating problem of antibiotic resistance in UTIs and emphasizes the discrepancy in resistance rates between medical and non-medical departments. Urgent efforts are required to address this issue and find effective solutions to prevent the rise of untreatable bacterial infections.

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. 

Computational models used in specifying biological systems represent a complement and become an alternative to more widely used mathematical models. Amongst some of the advantages brought by these computational models, one can mention their executable semantics and mechanistic way of describing biological system phenomena. This short overview report enumerated some of the computational models utilised so far in systems and synthetic biology, the associated analysis and formal verification methods and tools, and a way of facilitating a broader use of this alternative approach.

Biochemical systems are analytically investigated after encoding the properties of the dynamics, which rule the time evolution of the transition properties, using some Markov models, such as the Hierarchical Markov-State Models. The present paper is aimed at analytically writing the (finite) Markov chain originating from the considered Markov models. Within this framework, the interaction with the environment is considered, and the ergodicity of the systems obtained from numerical simulation is controlled and compared with the qualities of the Markov chain. The (von Neumann) conditions to be imposed on the Bloch equations for the biomaterial structures to be described analytically in a consistent way are governed. The formalisms of the ’heat bath’ and that of the control of the numerical errors ensure the good measure-theoretical framework and the ergodicity of the finite chain, respectively.The finite Markov chains are investigated and the analytical expressions are presented, after which the Hierarchical Markov-State-Model provides the time evolution of the transition probabilities in biochemical systems.The notion of heat bath is used to describe the interactions of the biomaterial with the environment and thus to control the uses of the projection operators in the Markovian processes where the appropriate measure is defined; the stochastic equations allow one to obtain the wanted measure from the probability spaces.The cases in which a violation of the Markov property of the process occurs, i.e. in open systems, or dissipative processes are also considered. Furthermore, in complex molecules in biological systems, these features are investigated to be possibly even more dramatic. As far as molecular processes are concerned, this occurrence is associated with the appearance of chaotic effects with certain characteristics of potential surfaces: rather than the technique of isocommittors, the method of projectors in measure spaces is used for the Nakajima-Zwanzig paradigm for the density operator; this latter method complementary compares the time-convolution-less technique.The finite Markov chains are finally proven to be ergodic after the control of the numerical errors which provide the Sinai-Markov partitions to be applied for the analysis of the measure space of the Markov chain, that is, one endowed with a Hilbert measure. The von Neumann conditions are therefore newly demonstrated to be apt to be applied to the Bloch equations for biomaterial structures after the use of the notion of heat bath, from which the measure space arises.The qualities of the Hierarchical Markov-Sate Models which bring the analytical expression of the time evolution of probabilities of biomaterials are therefore newly analytically studied.

One of the most important emerging pollutants is pharmaceutical active compounds, which may be responsible, for example, for ecotoxicological changes and microbiological resistance. Wastewater treatment plants are not adequately equipped to remove all of the emerging pollutants contained in the wastewater. The ultrafiltration process has been proven to be effective in traditional wastewater treatment, so it is important to assess the performance of such a technique in the partial elimination of pharmaceutical compounds to avoid contamination. In this work, an assessment of ultrafiltration process operating conditions for eliminating six pharmaceutical compounds: Ibuprofen, Acetaminophen, Naproxen, Diclofenac, Caffeine, and trimethoprim, present in different types of water is performed. Experimental design is a systematic and structured approach to conducting experiments, and its application can significantly improve the study of membrane technology, reducing the number of assays necessary to obtain meaningful results. The statistical principles application ensures that the results obtained are reliable and representative of the true effects of the variables being studied. Its application helps to obtain valid conclusions from the data and provides a solid basis for making decisions or recommendations regarding the tests and variables to take into account. Membrane processes can involve complex interactions between several factors. Experimental design helps to identify and understand these interactions, allowing researchers to discern the combined effects of different variables. This is crucial to accurately predict and optimize membrane performance.In this work, ANOVA analysis has been carried out in order to determine the influence of membrane cut-off, solution pH, and feed concentration, as well as their interactions, in permeate flux and the rejection index. The results obtained show similar behavior for Ibuprofen, Naproxen, Diclofenac, and Trimethoprim, being the pH the most important factor. However, no significant factors were found for the acetaminophen and the Caffeine.

The regulatory effect of new synthetic thienopyrimidine derivatives on the growth and photosynthesis of wheat (Triticum aestivum L.) variety Svitlana in the vegetative phase was studied. The regulatory effect of new synthetic thienopyrimidine derivatives was compared with the regulatory effect of auxin IAA (1H-indol-3-yl)acetic acid) or synthetic plant growth regulators Methyur (sodium salt of 6-methyl-2-mercapto-4-hydroxypyrimidine) and Kamethur (potassium salt of 6-methyl-2-mercapto-4-hydroxypyrimidine). After 2 weeks, morphometric parameters (such as average length of shoots and roots (mm), average biomass of 10 plants (g)) and biochemical parameters (such as content of photosynthetic pigments (µg/ml)) of wheat plants grown from seeds treated with synthetic thienopyrimidine derivatives, or auxin IAA, or synthetic plant growth regulators Methyur and Kamethur at a concentration of 10-6M, were measured and compared with similar parameters of control wheat plants grown from seeds treated with distilled water. The regulatory effect of new synthetic thienopyrimidine derivatives on the morphometric and biochemical parameters of wheat plants was similar or higher compared to the regulatory effect of auxin IAA, or synthetic plant growth regulators Methyur and Kamethur. The relationship between the chemical structure of new synthetic thienopyrimidine derivatives and their regulatory effect on the growth and photosynthesis of wheat plants was revealed. The most biologically active thienopyrimidine derivatives are proposed to be used as new synthetic physiological analogues of auxins and cytokinins to improve growth and increase photosynthesis of wheat (Triticum aestivum L.)variety Svitlana in the vegetative phase.

Cells have emerged as highly promising vehicles for delivering drugs due to their unique advantages. They have the ability to bypass immune recognition, navigate biological barriers, and reach difficult-to-access tissues through sensing and active movement. Over the past couple of decades, extensive research has been conducted to understand how cell carriers can overcome biological barriers and influence drug effectiveness. This has resulted in the development of engineered cells for targeted drug delivery to specific tissues. Despite the presence of exciting developments, a comprehensive understanding of the challenges and potential strategies is necessary for the effective clinical application of cell-based drug carriers. This review provides an overview of recent progress and novel concepts in cell-based drug carriers, as well as their potential for translation into clinical practice. Additionally, we delve into important factors and emerging strategies for designing the next generation of cell-based delivery technologies, with a particular emphasis on achieving greater accuracy and targeted drug administration.

In this research, for the purpose of social implementation, we conducted a near-miss demonstration experiment using a car driving in the city and a drive-simulator. Next, we conducted a demonstration experiment to evaluate the reliability of biometric information measured on patients in a medical facility's recuperation ward and residents of a special nursing home. NBC-1100 emits radar waves from a distance of up to 3 meters from an object and uses the reflected waves to measure biological information such as pulse waves and breathing waves. The multi-element pyroelectric effect was used to measure body temperature by detecting infrared radiation emitted from distant objects. This device is unique in that it can measure biological information without being restrained while wearing clothes. In the demonstration test, simultaneous measurements were conducted on nine healthy men aged 45 to 65 using a pharmaceutically approved product (μBP-mp) and a prototype non-contact biological monitor (NBC-1100 manufactured by K&S Co., Ltd.). The demonstration experiments at medical institutions and nursing care facilities were conducted with the consent of residents and their families and were conducted on 30 men and women between the ages of 70 and 94 who were undergoing treatment or in need of care. The tests were conducted on residents with chronic diseases such as dilated gastrostomies, symptomatic epilepsy, hypertension, Alzheimer's disease, and progressive supranuclear palsy. The evaluation method was simultaneous measurement using a master meter (μBP-mp) and a test meter (NBC-1100).

Artificial Intelligence (AI) combined with Synthetic Biology has the potential to change the way we approach medicine, agriculture, and manufacturing. AI automates tasks, optimizes experimental designs, and predicts biological behaviours, resulting in more efficient design and engineering of biological systems. However, there are challenges such as data limitations, interpretability issues, and ethical considerations like biosafety and biosecurity concerns that need to be addressed. AI can be used to analyze vast amounts of data and identify patterns. This has led to successful applications of AI in high-throughput screening and biomanufacturing, which can drive innovation and address critical challenges. AI-powered closed-loop systems for real-time monitoring and control of biological processes also show promise in providing real-time feedback and optimizing systems on the fly. Despite these advancements, it's important to consider ethical implications to ensure the responsible development and application of AI in synthetic biology. Proper consideration of challenges and ethical considerations can help leverage the power of AI to drive innovation and tackle pressing societal challenges. Overall, the potential of AI in synthetic biology is significant. By addressing challenges and ethical considerations, we can use them effectively to solve pressing problems.

The present review highlights some of the very important contributions to non-alignment ways of comparing biological sequences, which may be genome sequences of nucleotides, protein sequences of amino acids, or sequences of protein secondary structures. The discussion centers around specific methods applicable to the comparison of three types of sequences. The methods of comparison of genome sequences are based on three pairs of biological groups of nucleotides; the same for protein sequences are based on either physio-chemical property values of amino acids or on classified groups of amino acids of different cardinalities obtained from the physio-chemical properties; the same for sequences of secondary structures of proteins are based on their sequential expressions of structure elements of cardinality three and four. Comparison is made in the time domain and also in the frequency domain. Different taxa of known phylogeny are considered for comparison. It tries to find out the specific method of comparison, which can show the exact phylogeny of the taxa. If a new sequence appears in the database, it becomes essential to know its phylogeny. For this purpose, a phylogenetic tree is drawn on the sequences of the known taxa together with this new sequence using the best possible method. If the species having this new sequence belongs to the old taxa, there is nothing to worry about. Otherwise, the species with the new sequence has to be studied separately. This is the general reason for the construction of a phylogenetic tree in any form of biological sequence comparison.