This review presents the latest evidence on the link between genetic single nucleotide polymorphisms and dental caries, highlighting key genes and pathways involved, introducing foundational concepts, and discussing essential methodological considerations for future research. Several genes have been identified as significantly associated with caries experience, including those related to tooth mineral tissues, taste perception, salivary composition and flow, and immune response. Epistatic interactions appear to be crucial in explaining genetic influence. Inconsistencies in the literature are attributed to variations in caries classification, age groups, ethnic backgrounds, limited statistical power, and linkage disequilibrium. Population stratification often confounds results, and few studies adequately control for genetic ancestry. Ensuring Hardy-Weinberg equilibrium and accounting for linkage disequilibrium are essential to avoid bias. Bonferroni corrections for multiple comparisons are fundamental but rarely applied, contributing to inconsistent findings. In conclusion, genetic epidemiology studies suggest that dental caries has a genetic component, accounting for significant individual differences in disease risk.

Mitochondrial respiratory complexes (Complexes I–V) and their assembly into respiratory supercomplexes (SCs) are fundamental to liver bioenergetics, redox homeostasis, and metabolic adaptability. Disruption of these systems contributes to major liver diseases, including non-alcoholic fatty liver disease, alcoholic liver disease, drug-induced liver injury, viral hepatitis, and hepatocellular carcinoma, by impairing adenosine triphosphate synthesis, increasing oxidative stress, and altering metabolic pathways. Recent advances have clarified the structural-functional interdependence of individual complexes within SCs, revealing their dynamic remodeling in response to physiological stress and pathological injury. These insights open opportunities for clinical translation, such as targeting SC stability with pharmacological agents, nutritional strategies, or gene therapy, and employing mitochondrial transplantation in cases of severe mitochondrial failure. Precision medicine approaches, incorporating multi-omics profiling and patient-derived models, may enable individualized interventions and early detection using SC integrity as a biomarker. By linking molecular mechanisms to therapeutic strategies, this review underscores the potential of mitochondrial-targeted interventions to improve outcomes in patients with liver disease.

Laboratory-acquired infections (LAIs) have been documented since the first report of typhoid fever in 1885 and continue to endanger laboratory professionals despite decades of biosafety advances. This review provides a comprehensive overview of LAIs, emphasizing their history, modes of transmission, and strategies for prevention.

A systematic review of historical records, case series, and biosafety guidance (1885–2025) identified documented LAIs, their transmission routes, and preventive measures. Data were extracted on pathogen spectrum, geographic distribution, incident outcomes, and the effectiveness of biosafety interventions.

Historical analysis identified 50 laboratory-acquired typhoid infections with six deaths from 1885 to 1915, largely due to mouth pipetting and aerosol exposure. A sharp decline in fatal bacterial infections was observed following the introduction of Class II biosafety cabinets in the 1960s. From 2000 to 2021, 309 LAIs were reported across 94 studies, most commonly Salmonella enterica (56.6%), vaccinia virus (4.2%), and Brucella species (3.9%), with Brucella responsible for over half of hospital-laboratory cases (60 per 100,000 personnel-years). In Canada during 2023, 63 exposure events occurred, including three confirmed infections despite adherence to biosafety level protocols. Environmental persistence studies underscored surface-borne risks. The most effective preventative measures included abolishing mouth pipetting, mandatory use of gloves and eye/face protection, routine Class II biosafety cabinet use for aerosol-generating procedures, surface disinfection with 0.5% sodium hypochlorite, and annual competency-based biosafety training with incident reporting.

LAIs remain geographically widespread and pathogen-diverse. Quantitative historical trends and contemporary surveillance highlight critical transmission routes, including ingestion, inoculation, mucosal splash, and inhalation, while reinforcing evidence-based prevention strategies. Sustained investment in biosafety infrastructure, real-time exposure reporting, and pathogen-specific training is essential to further reduce LAI incidence and severity in the face of emerging antimicrobial resistance and novel agents.

Nanobiotechnology has driven transformative advancements in healthcare, particularly in the development of innovative solutions for wound treatment, a persistent and costly global health concern. Among these advancements, the combination of biopolymers and metallic nanoparticles has attracted considerable interest due to their excellent biocompatibility and potent antimicrobial activity. This scoping review explores recent technological progress in wound care, with a focus on alginate-based dressings functionalized with metallic nanoparticles. Alginate, a highly versatile biopolymer, was frequently employed in diverse formats, including hydrogels, sponges, beads, films/membranes, and fibers, across the analyzed studies. Silver nanoparticles were the most extensively investigated agents, owing to their well-established efficacy and the development of strategies to mitigate associated risks. Other metallic nanoparticles were also reported, contributing to a growing body of evidence supporting their therapeutic relevance. The synergistic integration of alginate and metallic nanoparticles has shown promising potential to enhance the performance of wound dressings, representing a significant step forward in the design of next-generation materials for effective and targeted wound management.

Mechanical valve replacement is a primary treatment for rheumatic heart disease, yet prosthesis-related adverse outcomes remain underreported in India. This study aimed to examine the in-hospital mortality rate among patients who underwent prosthetic heart valve replacement surgeries in the past five years.

A retrospective analysis of 221 rheumatic heart disease patients (2019–2023) who underwent aortic valve replacement (AVR), mitral valve replacement (MVR), or double valve replacement (DVR) was conducted. Comorbidities (hypertension, type-2 diabetes mellitus) and valve origin (Indian vs. foreign-made) were also evaluated. Data were analyzed using SPSS (v25.0), with p < 0.05 considered statistically significant.

Among 221 patients, 262 valves were implanted (54 AVR, 126 MVR, 41 DVR). Overall in-hospital mortality was 7.24% (16/221), with rates of 5.55% (AVR), 7.14% (MVR), and 9.75% (DVR). No sex-based differences were observed (p > 0.05). The five-year actuarial survival rate was 92.8±4.8%, with no intergroup disparities (p > 0.05). Mortality was higher in patients >50 years (13/16 deaths) and in females (10/16 deaths), though these differences were not statistically significant. Hypertension was more prevalent in females and type-2 diabetes mellitus in males, but neither condition showed a significant association with outcomes (p > 0.05). Most fatalities were associated with thromboembolism, acute kidney injury, and congestive heart failure, and valve origin did not significantly impact mortality.

Over the past five years, we observed a 7.24% mortality rate at our tertiary care facility following prosthetic heart valve implantation across all age groups. The data suggest that mortality may be more common among females and older individuals; however, these differences did not reach statistical significance.

Breast cancer remains one of the most common cancers affecting women globally, with late detection frequently contributing to its high mortality rate. Multiple factors drive these delays, including a lack of awareness, financial constraints in low-income countries, and limited access to non-invasive and accurate biomarkers. This review aims to introduce biomarkers, particularly hematological and biochemical serum markers, as essential, non-invasive, and accurate tools for improving the diagnosis, prognosis, and therapeutic management of breast cancer. Hematological markers are measurable blood parameters that reflect physiological and pathological processes such as inflammation, infection, cardiovascular stress, autoimmune conditions, and cancer. Routinely measured hematological markers, such as the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and red blood cell indices, are typically obtained from standard tests like the complete blood count. Regular monitoring through complete blood count is essential during cancer treatment to evaluate changes in blood cell counts and detect potential adverse effects. Because of their affordability, minimal infrastructure requirements, and broad accessibility, hematological parameters have been increasingly studied for their association with high-risk factors in breast cancer, particularly in resource-limited settings. Their utility underscores their critical role in improving patient outcomes across diverse healthcare environments. This review summarizes the clinical value of various hematological and serum-based biochemical markers in the screening and diagnosis of breast cancer. Prediction methods that incorporate hematological and serum-based biochemical parameters can support screening, diagnosis, and staging. Overall, individual or combined blood indicators hold significant potential to enhance diagnostic accuracy and effectiveness.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with marked phenotypic differences observed among its major histological subtypes, adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small cell lung cancer (SCLC), in both clinical presentation and therapeutic response. In recent years, metabolomics has emerged as a powerful tool for studying cancer metabolic reprogramming, providing new insights into the metabolic distinctions among lung cancer subtypes. This review summarizes recent research advances in the metabolomics of ADC, SCC, and SCLC. Studies have revealed that ADC and SCC display distinct metabolic profiles in lipid metabolism, amino acid metabolism, and cell membrane synthesis, while SCLC demonstrates a unique metabolic pattern. Through metabolomic technologies, particularly mass spectrometry and liquid chromatography, it is possible to effectively differentiate lung cancer subtypes and identify potential biomarkers for early diagnosis and personalized treatment. This review also explores the clinical potential of metabolomics in lung cancer, emphasizing its critical role in early diagnosis and subtype stratification. These methodological advances establish a robust foundation for precision oncology paradigms in thoracic malignancies.

Given the high burden of hepatocellular carcinoma (HCC), risk stratification in patients with cirrhosis is critical but remains inadequate. In this study, we aimed to develop and validate an HCC prediction model by integrating radiomics and deep learning features from liver and spleen computed tomography (CT) images into the established age-male-ALBI-platelet (aMAP) clinical model.

Patients were enrolled between 2018 and 2023 from a Chinese multicenter, prospective, observational cirrhosis cohort, all of whom underwent 3-phase contrast-enhanced abdominal CT scans at enrollment. The aMAP clinical score was calculated, and radiomic (PyRadiomics) and deep learning (ResNet-18) features were extracted from liver and spleen regions of interest. Feature selection was performed using the least absolute shrinkage and selection operator.

Among 2,411 patients (median follow-up: 42.7 months [IQR: 32.9–54.1]), 118 developed HCC (three-year cumulative incidence: 3.59%). Chronic hepatitis B virus infection was the main etiology, accounting for 91.5% of cases. The aMAP-CT model, which incorporates CT signatures, significantly outperformed existing models (area under the receiver-operating characteristic curve: 0.809–0.869 in three cohorts). It stratified patients into high-risk (three-year HCC incidence: 26.3%) and low-risk (1.7%) groups. Stepwise application (aMAP → aMAP-CT) further refined stratification (three-year incidences: 1.8% [93.0% of the cohort] vs. 27.2% [7.0%]).

The aMAP-CT model improves HCC risk prediction by integrating CT-based liver and spleen signatures, enabling precise identification of high-risk cirrhosis patients. This approach personalizes surveillance strategies, potentially facilitating earlier detection and improved outcomes.

Propolis is a resinous material produced by honeybees. Its chemical composition is highly complex and varies significantly depending on geographic region and season. This intrinsic variability presents challenges to the standardization and quality control of propolis. This study aimed to evaluate the chemical composition, total phenolic content, and antioxidant potential of propolis collected from seventeen geographical regions across Africa.

A reverse-phase high-performance liquid chromatography (RP-HPLC) method coupled with a photodiode array detector (PDA) was used for analysis of propolis samples. The flavonoid and phenolic contents of the samples were determined using colorimetric and Folin-Ciocalteu methods. Antioxidant capacity was assessed using the 2,2-diphenyl-1-picrylhydrazyl assay.

Five flavonoids (naringenin, pinocembrin, galangin, chrysin, and quercetin), one flavonoid glycoside (rutin), six phenolic acids (caffeic acid, p-coumaric acid, cinnamic acid, chlorogenic acid, ferulic acid, and gallic acid), and an aromatic ester - caffeic acid phenethyl ester were simultaneously detected and quantified using RP-HPLC with an ACE-5 C18 column (250 mm × 4.6 mm i.d., 5 µm) and PDA detector. The reference standards showed good linearity with regression coefficients (R2) ranging from 0.96 to 0.99. For precision, repeatability, and stability studies, the relative standard deviation for all reference standards was below 2.5%. The 2,2-diphenyl-1-picrylhydrazyl assay yielded EC50 values ranging from 17.6 ± 0.39 to 0.16 ± 0.001 mg/mL.

RP-HPLC method for the simultaneous quantification of thirteen reference standards will serve as a reliable tool for the standardization and quality evaluation of propolis. The flavonoid and phenolic contents are key contributors to the antioxidant activity of propolis and reflect local plant biodiversity and bee–plant interactions within the ecosystem.

Familial hypobetalipoproteinemia (FHBL), caused by apolipoprotein B (APOB) variants, disrupts APOB-containing lipoprotein synthesis, leading to reduced serum total cholesterol, low-density lipoprotein cholesterol, and APOB. Heterozygous carriers are often asymptomatic, while homozygotes exhibit severe manifestations like malabsorption, vitamin deficiencies, and hepatic steatosis. In recent years, FHBL has attracted increasing attention due to its association with liver disease and its role as a unique monogenic model of steatotic liver disease independent of cardiometabolic risk factors. Mechanistically, lipid overload, endoplasmic reticulum stress, oxidative damage, and impaired autophagy may drive hepatocellular injury and fibrosis. Challenges include insufficient diagnosis, sparse epidemiological data, and unclear disease progression. Enhanced genetic testing, mechanistic research, and longitudinal studies are critical to improving diagnosis, risk assessment, and therapies for FHBL-associated liver disease.