BioChem, Volume 5, Issue 2 (June 2025) – 14 articles

Anesthesia is a cornerstone of modern medicine, enabling surgery, pain management, and critical care. Despite its widespread use, the precise molecular mechanisms of anesthetic action remain incompletely understood. Recent advancements in structural biology, including cryo-electron microscopy (Cryo-EM), X-ray crystallography, and computational modeling, have provided high-resolution insights into anesthetic–target interactions. This review examines key molecular targets, including GABA_A receptors, NMDA receptors, two-pore-domain potassium (K2P) channels (e.g., TREK-1), and voltage-gated sodium (Nav) channels. General anesthetics modulate GABA_A and NMDA receptors, affecting inhibitory and excitatory neurotransmission, while local anesthetics primarily block Nav channels, preventing action potential propagation. Structural studies have elucidated anesthetic binding sites and gating mechanisms, providing a foundation for drug optimization. Advances in computational drug design and AI-assisted modeling have accelerated the development of safer, more selective anesthetics, paving the way for precision anesthesia. Future research aims to develop receptor-subtype-specific anesthetics, Nav1.7-selective local anesthetics, and investigate the neural mechanisms of anesthesia-induced unconsciousness and postoperative cognitive dysfunction (POCD). By integrating structural biology, AI-driven drug discovery, and neuroscience, anesthesia research is evolving toward safer, more effective, and personalized strategies, enhancing clinical outcomes and patient safety. Full article

Single-cell RNA sequencing (scRNA-seq) has revolutionized neuroscience by enabling the analysis of cellular heterogeneity and dynamic molecular processes at the single-cell resolution. In spinal cord research, scRNA-seq provides critical insights into cell type diversity, developmental trajectories, and pathological mechanisms. This review summarizes recent progress in the application of scRNA-seq to spinal cord development, injury, and neurodegenerative diseases and discusses the current challenges and future directions. Relevant studies focusing on the key applications of scRNA-seq, including advances in spatial transcriptomics and multi-omics integration, were retrieved from PubMed and the Web of Science. scRNA-seq has enabled the identification of distinct spinal cord cell populations and revealed the gene regulatory networks driving development. Injury models have revealed the temporal dynamics of immune and glial responses, alongside potential regenerative processes. In neurodegenerative conditions, scRNA-seq highlights cell-specific vulnerabilities and molecular changes. The integration of spatial transcriptomics and computational tools, such as machine learning, has further improved the resolution of spinal cord biology. However, challenges remain in terms of data complexity, sample acquisition, and clinical translation. Single-cell transcriptomics is a powerful approach for understanding spinal cord biology. Its integration with emerging technologies will advance both basic research and clinical applications, supporting personalized and regenerative therapy. Addressing these technical and analytical barriers is essential to fully realize the potential of scRNA-seq in spinal cord science. Full article

Studies in animals and humans suggested that the tonic dopamine inhibition of prolactin release may be estimated by submaximal prolactin stimulation by thyrotropin-releasing hormone (TRH), the mini-TRH test. Because patients with schizophrenia may be more vulnerable to stress-induced elevations of prolactin, great care was taken to avoid stress-induced increases in prolactin, including applying local anaesthesia before blood extraction in our psychotic patients. Basal prolactin levels were in the reference range in all psychotic patients studied by us and were not higher in male patients than in normal men. Results of the mini-TRH test suggested that in acute patients with non-affective psychoses, everyday memory problems, non-paranoid delusions, and first-rank symptoms, but not other Comprehensive Psychopathological Rating Scale (CPRS) positive symptoms, could correlate with decreasing dopamine transmission in lactotrophs. In acute patients with first-episode schizophrenia, increasing negative disorganisation symptoms might correlate with increasing dopamine transmission. In first-episode patients, a hypersensitivity of the TRH response was detected, which could indicate that variability in the basal prolactin levels may confound the interpretation of the mini-TRH response. To avoid that, a smaller dose of TRH was recommended in first-episode patients. Studies using other estimates of basal dopamine release suggested that striatal dopamine transmission reflected delusions and hallucinations but not other Positive and Negative Symptom Scale (PANSS) positive symptoms. Including a wide range of symptoms in the PANSS positive scale may reduce its specificity for assessing basal dopamine transmission, although the scale remains useful for tracking treatment response. Full article

Background/Objectives: Propranolol HCl (PPH), a nonselective beta-adrenergic receptor blocker, is employed as an anti-hypertensive, anti-anginal, anti-arrhythmic, and anti-migraine agent. Given its utility in chronic conditions, developing a sustained-release dosage form becomes imperative to optimize therapeutic outcomes while enhancing patient adherence and minimizing side effects. In this study, we employed a widely adopted matrix-based system to develop PPH sustained-release (PPH-SR) matrix tablets, ensuring the uniform dispersion of the drug within the polymeric matrix to regulate its release rate. Methods: Utilizing cellulose-based polymers, specifically HPMC K100M and ethyl cellulose (EC), as matrix formers, nine different formulations were prepared at varying drug-to-polymer ratios. We employed a wet granulation method, followed by compression of the dried granules, to fabricate round-shaped biconvex PPH-SR tablets. Results: Among these different formulations, formulation 2 (F2), comprising 40 mg PPH and 50 mg HPMC K100M (along with other excipients), showed excellent flowability, as evidenced by Carr’s index and angle of repose values of 12.50 and 28.50, respectively. Additionally, the mechanical properties of F2 tablets showed a hardness of 12.34 ± 0.91 KP, an average weight of 200.45 ± 1.87 mg, with a friability of 0.20%, and a content uniformity of 98.36%. Moreover, in vitro release characteristics of F2 tablets demonstrated a sustained-release behavior, with 94.3 ± 10.2% drug release over 24 h. A comparative analysis with marketed tablets yielded similarity and dissimilarity factors of 64 and 8, respectively. Furthermore, the release profile of F2 exhibited a high degree of linearity with the Korsmeyer–Peppas model (R² of 0.977), showcasing its reliability and predictability. Conclusions: In essence, this in-house developed PPH sustained-release formulation can improve patient adherence, reduce side effects, and improve therapeutic outcomes. These results align with our objective of enhancing the therapeutic efficacy of PPH and affirm the broader relevance of innovative formulation strategies in addressing the challenges of chronic disease management. Full article

Radiation therapy offers well-established benefits in enhancing loco-regional control, distant disease control, and breast-cancer-specific survival. However, it is not without its challenges, particularly in breast cancer patients, where advances in systemic therapies and other treatment modalities have significantly improved survival outcomes. As radiation oncologists, our responsibility is to deliver the most effective treatments while minimizing toxicity for each patient. This scoping review aims to retrieve and assess the literature on factors associated with increased radiation-induced late breast toxicity. Specifically, we seek to identify both non-modifiable variables and those that can be influenced by the choices made by radiation oncologists. This review highlights which clinical decisions could directly impact late breast toxicity following adjuvant radiation therapy after breast-conserving surgery. Full article

Traditional materials synthesis often involves energy-intensive processes with significant waste generation and limited control over material properties. This review examines synthetic biology as a sustainable alternative for designing advanced materials with enhanced precision and versatility. It explores microbial biomineralization, detailing how microorganisms influence the formation of mineral deposits and participate in key biogeochemical cycles. It highlights recent research advancements in using a wide variety of microorganisms for the synthesis of inorganic materials such as metal and metal oxide nanoparticles, quantum dots, magnetic nanoparticles, and thin films. The review also discusses the production and properties of various biopolymers. Important factors that can influence the size, morphology, and uniformity of these biomaterials are covered in detail. Emphasis is placed on advancements utilizing synthetic biology tools, such as protein engineering and genome editing, and recent research for creating smart and responsive materials. Considering the present limitations of synthetic biology, challenges related to scale-up, yield, and uniformity are discussed, and suggestions for future research are detailed. Full article

Proteins are structurally and functionally diverse biomacromolecules that serve a variety of essential activities to ensure complex biological homeostasis. The desire to elucidate and enhance these biological functions has been at the forefront of research for many decades. However, generating active proteins via recombinant expression or through chemical total synthesis each has limitations in terms of yield and functionality. Nature has provided a solution to this problem through evolving protein ligases that catalyze the formation of amide bonds between peptides/proteins, which can be exploited by protein engineers to develop robust functional proteins. Here, we summarize the biochemical mechanisms and applications of multiple cysteine-based protein ligases, especially focusing on how they have been utilized for protein therapeutics and engineering, as well as how they inspired chemists to develop efficient methodologies for protein synthesis (e.g., native chemical ligation). Full article

Background/Objectives: N-Myristoyltransferase inhibitors (NMTi) represent a novel antiviral strategy against mammarenaviruses such as Lassa and Junin viruses. The Z matrix protein inhibits viral ribonucleoprotein (vRNP) activity in a dose-dependent manner. Here, we investigated whether Z-mediated vRNP inhibition depends on Z myristoylation or oligomerization. Methods: We used HEK293T cells transfected with wild-type (WT) or G2A-mutated Z constructs in LCMV minigenome (MG) assays. Cells were treated with the NMTi IMP-1088 and the proteasome inhibitor MG132. Z protein expression, vRNP activity, and VLP production were analyzed by immunofluorescence, western blotting, and colocalization analyses. Results: IMP-1088 treatment led to proteasome-mediated degradation of Z, reducing its inhibition of vRNP activity, which was restored by MG132. The non-myristoylated Z G2A mutant retained vRNP inhibitory activity but showed impaired oligomerization and budding capacity. These findings demonstrate that Z-mediated vRNP inhibition is independent of myristoylation and oligomerization. Conclusions: Z myristoylation and oligomerization are not required for its inhibitory vRNP activity. Targeting Z myristoylation with NMTi impairs virus assembly and budding without affecting Z-mediated inhibition of vRNP activity, supporting the development of NMTi as a promising broad-spectrum antiviral strategy against mammarenaviruses. Full article

Oral solid drug delivery continues to be the gold standard in pharmaceutical formulations, owing to its cost-effectiveness, ease of administration, and high patient compliance. Tablets, the most widely used dosage form, are favored for their precise dosing, simplicity, and economic advantages. Among these, controlled release (CR) tablets stand out for their ability to maintain consistent drug levels, enhance therapeutic efficacy, and reduce dosing frequency, thereby improving patient adherence and treatment outcomes. A well-designed CR system ensures a sustained and targeted drug supply, optimizing therapeutic performance while minimizing side effects. This review delves into the latest advancements in CR formulations, with a particular focus on hydrophilic matrix systems, which regulate drug release through mechanisms such as swelling, diffusion, and erosion. These systems rely on a variety of polymers as drug-retarding agents to achieve tailored release profiles. Recent breakthroughs in crystal engineering and polymer science have further enhanced drug solubility and bioavailability, addressing critical challenges associated with poorly soluble drugs. In terms of manufacturing, direct compression has emerged as the most efficient method for producing CR tablets, streamlining production while ensuring consistent drug release. The integration of the Quality by Design framework has been instrumental in optimizing product performance by systematically linking formulation and process variables to patient-centric quality attributes. The advent of cutting-edge technologies such as artificial intelligence and 3D printing is revolutionizing the field of CR formulations. AI enables predictive modeling and data-driven optimization of drug release profiles, while 3D printing facilitates the development of personalized medicines with highly customizable release kinetics. These innovations are paving the way for more precise and patient-specific therapies. However, challenges such as regulatory hurdles, patent constraints, and the need for robust in vivo validation remain significant barriers to the widespread adoption of these advanced technologies. This succinct review underscores the synergistic integration of traditional and emerging strategies in the development of CR matrix tablets. It highlights the potential of hydrophilic and co-crystal matrix systems, particularly those produced via direct compression, to enhance drug bioavailability, improve patient adherence, and deliver superior therapeutic outcomes. By bridging the gap between established practices and innovative approaches, this field is poised to address unmet clinical needs and advance the future of oral drug delivery. Full article

Background/Objectives: Burns are a prevalent health concern that manifest on the skin’s surface or within organs due to various traumas and necessitate prompt intervention. The healing process of the skin involves a sequence of time-dependent events, commencing with the activation of growth factors and culminating in the expression of various genes. To expedite the healing process of burn wounds, there is a need to develop biodegradable materials and new technologies that are compatible with the skin. Methods: In this study, the roles of tilapia (TL, Oreochromis niloticus) fish skin in burn wound treatment processes were investigated. TL or TL-alginate hydrogels (AGTL) were applied to a burn wound created in Sprague Dawley rats for 7 and 14 days. Following the administration of treatment, the levels of hydroxyproline, a critical element in tissue reorganization, along with the gene expression levels of COL1A1, COL3A1, MMP-2, and MMP-9, and the protein expression levels of MMP-2 and MMP-9 were evaluated. Results: Wound closure processes were faster in AGTL-groups compared to TL-groups, and hydroxyproline levels were found to be higher. While the increase in MMP-2 levels was less, the increase in MMP-9 gene and protein levels was greater in the AGTL-group. Concurrently, COL1A1 levels decreased over 14 days, while COL3A1 levels increased in the AGTL-group. Conclusions: Consequently, it was determined that the biological substances in the TL structure, in conjunction with alginate, were effective in the healing and reorganization of the wound tissue. This finding suggests that tilapia may provide a valuable source of insights for future studies aimed at developing effective wound dressings for wound tissues. Full article

Optical coherence tomography (OCT) phantoms are essential tools for calibrating imaging systems, validating diagnostic algorithms, and bridging technological advancements with clinical applications. This review explores the development and application of materials used in OCT phantoms, emphasising their optical, mechanical, and biochemical fidelity to biological tissues. Gelatin-based phantoms (n = 1.35) offer controllable absorbance and scattering, with penetration depths (PDs) of 500–2000 µm and scattering coefficients (SCs) of 5–20 cm⁻¹ but are unstable at room temperature. Silicone phantoms (n = 1.41) are durable and stable, with SCs of 10–15 cm⁻¹, suitable for long-term studies. Polydimethylsiloxane (PDMS) phantoms (n = 1.41) provide manageable optical properties and are used in microfluidic applications. Polyvinyl alcohol (PVA) phantoms (n = 1.48) mimic soft tissue mechanics, with SCs of 5–15 cm⁻¹, but require freeze–thaw cycles. Fibrin phantoms (n = 1.38) simulate blood clotting, with SCs of 5–20 cm⁻¹. Scattering particles like polystyrene (n = 1.57) and titanium dioxide (TiO₂, n = 2.49) offer modifiable properties, while silica microspheres (SiO₂, n = 3.6) and gold nanoshells (n = 2.59) provide customisable optical characteristics. These materials and particles are crucial for simulating biological tissues, enhancing OCT imaging, and developing diagnostic applications. Despite progress, challenges persist in achieving submicron resolution, long-term stability, and cost-effective scalability. Full article

Personalized cancer vaccines are a promising immunotherapy targeting patient-specific tumor neoantigens, yet their design and efficacy remain challenging. Recent advances in artificial intelligence (AI) provide powerful tools to enhance multiple stages of cancer vaccine development. This review systematically evaluates AI applications in personalized cancer vaccine research over the past five years, focusing on four key areas: neoantigen discovery, codon optimization, untranslated region (UTR) sequence generation, and mRNA vaccine design. We examine AI model architectures (e.g., neural networks), datasets (from omics to high-throughput assays), and outcomes in improving vaccine development. In neoantigen discovery, machine learning and deep learning models integrate peptide–MHC binding, antigen processing, and T cell receptor recognition to enhance immunogenic neoantigen identification. For sequence optimization, deep learning models for codon and UTR design improve protein expression and mRNA stability beyond traditional methods. AI-driven strategies also optimize mRNA vaccine constructs and formulations, including secondary structures and nanoparticle delivery systems. We discuss how these AI approaches converge to streamline effective personalized vaccine development, while addressing challenges such as data scarcity, tumor heterogeneity, and model interpretability. By leveraging AI innovations, the future of personalized cancer immunotherapy may see unprecedented improvements in both design efficiency and clinical effectiveness. Full article