Histopathology is the gold standard in cancer diagnosis. However, attenuated total reflectance (ATR)-Fourier transform infrared (FTIR) spectroscopy has shown diagnostic potential in other settings. Therefore, this study aimed to investigate the sensitivity and specificity of the ATR-FTIR spectroscopy in evaluating breast lesions.

This study was conducted on formalin-fixed, paraffin-embedded biopsy blocks received at Ladoke Akintola University of Technology Teaching Hospital between 2022 and 2023. The blocks were categorized into 10 normal (from benign breast tissue), 15 benign, and 31 malignant samples. Tissue sections of 15 µm were obtained during block trimming and floated onto FTIR slides. An additional 4 µm tissue sections were stained with hematoxylin and eosin for tumor diagnosis and to identify suitable areas on the FTIR slide. Spectrometer readings were taken within the range of 4,000–600 cm−1, 32 scans, and 16 cm−1 resolution, using the average of 10 preprocessed spectra per slide. Biomarkers were calculated by ratioing peak intensities for A1632/A1543, A1632/A2922, A1632/A1080, A1080/A1543, A1237/A1080, and A1043/A1543, which represent protein, diagnostic marker, cytoplasm-nucleus ratio, carcinogenesis marker, phosphate, and glycogen, respectively. The receiver operating characteristic curve was used to determine sensitivity, specificity, and the area under the curve (AUC).

The AUC analysis showed that cytoplasm-nucleus ratio values of 0.99 and 0.95 effectively distinguished normal from malignant tissue, and benign from malignant tissue, respectively (p < 0.0001). Additionally, protein marker (AUC = 0.73), diagnostic marker (AUC = 0.85), and cytoplasm-nucleus ratio marker (AUC = 0.94) were able to discriminate normal from benign tissue. Overall, the receiver operating characteristic analysis showed 100% sensitivity and specificity ranging from 54% to 87%. Glycogen (AUC = 1.00) exhibited 100% sensitivity in discriminating fibroadenoma from fibrocystic changes.

ATR-FTIR spectroscopy demonstrates high diagnostic accuracy in differentiating normal, benign, and malignant breast tissues using specific spectral biomarkers. Among these, the cytoplasm-nucleus ratio marker showed strong potential as a reliable spectral indicator for distinguishing various types of breast tumors. The cytoplasm-nucleus ratio marker demonstrated strong potential as a reliable spectral indicator for distinguishing various types of breast tumors.

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of electrocardiogram (ECG) non-linear features and different topological medical features (heart rate, anthropometry, blood, glucose, and lipid profile, and heart rate variability) to discriminate between different Framingham Cardiovascular Risk Scale status groups in adult obesity using machine learning.

We conducted a cross-sectional study between November 2023 and May 2024 in Fortaleza, Ceará, Brazil. Based on the Framingham Cardiovascular Risk Scale, patients were categorized into three cardiovascular risk groups: Low (22 participants), Moderate (14 participants), and High (17 participants). From ECG signals at two different positions (ECG_Down and ECG_UP), 27 non-linear features were extracted using multi-band analysis. Additionally, 42 medical features provided by physicians were included. From a pool of 19 machine learning classifiers, models were trained and tested within a nested leave-one-out cross-validation procedure using information solely from ECG, solely from medical features, and combining both (multimodal), respectively, to distinguish between Low vs. Moderate, Low vs. High, Moderate vs. High, and All vs. All.

The multimodal model presented the best results for every comparison group, reaching (1) 88.89% Accuracy and 0.8831 area under the curve (AUC) for Low vs. Moderate; (2) 97.44% Accuracy and 0.9706 AUC for Low vs. High; (3) 93.55% Accuracy and an AUC of 0.9412 for Moderate vs. High; (4) 86.79% Accuracy and 0.9346 AUC for All vs. All.

The multimodal model outperformed single-source models in cardiovascular risk classification. ECG-derived non-linear features, especially from ECG_Down, were key drivers, with medical features adding complementary value. The results support its potential use in clinical triage and diagnosis.

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.

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.

Chronic hepatitis B virus (HBV)-infected patients may exhibit liver fibrosis and other pathological changes despite normal alanine aminotransferase (ALT). This study aimed to assess the efficacy and safety of tenofovir amibufenamide (TMF) in chronic HBV-infected patients with normal ALT levels.

The ongoing PROMOTE study (NCT05797714) is the first prospective, multicenter, randomized, open-label, blank-controlled clinical trial involving chronic HBV-infected patients with normal ALT levels. Participants were randomized in a 1:1 ratio to receive either TMF (TMF group) or no treatment (blank control group). The primary efficacy endpoint was the proportion of participants achieving HBV DNA levels <20 IU/mL at 48 weeks.

A total of 197 participants were enrolled, with 95 in the TMF group and 102 in the blank control group. At 48 weeks, a significantly greater proportion of participants in the TMF group achieved HBV DNA levels <20 IU/mL compared with the control group (74.2% vs. 9.0%, P < 0.001). The TMF group demonstrated more pronounced reductions in HBV DNA (−2.63 vs. −0.22 log10 IU/mL, P < 0.001), HBsAg (−0.07 vs. −0.04 log10 IU/mL, P = 0.02), and ALT levels (−14.09% vs. 0%, P = 0.003) compared with the blank control. In the TMF group, the proportion of participants with high-normal ALT levels (20–40 IU/L) was reduced. No significant differences were observed between the groups in creatinine, glomerular filtration rate, bone turnover biomarkers, lipid profiles, or phosphorus levels.

TMF treatment demonstrates significant efficacy in chronic HBV-infected patients with normal ALT levels and shows a favorable safety profile regarding bone, renal, and lipid parameters. The PROMOTE study is ongoing, and further results at 96 and 144 weeks are expected to provide additional insights.

The COVID-19 pandemic profoundly impacted university students, presenting multifaceted challenges including the abrupt transition to virtual learning and significant disruptions to emotional well-being and dietary habits. This study aimed to investigate the dietary and nutritional characteristics associated with academic stress among Mexican university students during the COVID-19 lockdown.

This cross-sectional study was conducted with a sample of 114 university students in Mexico. Participants completed a self-reported questionnaire assessing dietary patterns, nutritional intake, and academic stress levels. Informed consent was obtained from all participants prior to data collection.

Among study participants (n = 114), 57.8% experienced moderate academic stress, while 25.7% reported high academic stress during the COVID-19 lockdown. Notably, 13.5% of students demonstrated food cravings that were significantly associated with increased consumption of red and fatty meats (P = 0.030) and sausages (P = 0.017). A negative virtual education experience was associated with food cravings towards high-calorie and saturated-fat foods (P = 0.014), as well as elevated academic stress levels (P = 0.009). Furthermore, high academic stress levels were positively associated with food cravings (P = 0.020), particularly towards carbohydrate-rich foods (P = 0.037).

The COVID-19 lockdown substantially disrupted the dietary habits and nutritional status of university students, with academic stress serving as a significant mediating factor.

Atypical teratoid/rhabdoid tumor (AT/RT) is a rare and highly aggressive embryonal tumor that predominantly affects infants and young children. This malignancy arises from primitive neuroectodermal cells and exhibits heterogeneous differentiation into various embryonic tissues. Due to its rarity and complexity, diagnosing and managing AT/RT present significant challenges. Recent studies have summarized the key features of cerebellar and supratentorial AT/RT cases; however, critical gaps remain in understanding their diffuse leptomeningeal variants and long-term functional outcomes. Here, we report a case of a two-year-old child diagnosed with cerebellar AT/RT, who presented with vomiting and gait instability. The patient underwent a gross total resection followed by adjuvant radiotherapy and chemotherapy. Despite achieving radiological remission, the patient survived for only eight months and experienced severe neurological deficits, including persistent ataxia and recurrent infections. This case highlights the disconnect between surgical success and long-term quality of life. It underscores the importance of integrating molecular diagnostics and palliative care to address the multifaceted burden of AT/RT.

Gut dysbiosis has been reported in severe liver diseases. However, information on the impact of hepatitis E virus infection on the gut microbiota, and the association between enteric microbiota disturbances and acute hepatitis E (AHE), is limited, particularly in elderly patients with AHE (AHE-elderly). Our objective was to characterize the AHE-specific microbiome in elderly patients and evaluate its association with clinical outcomes.

Fecal samples and clinical data were collected from 58 AHE-elderly patients (46 self-healing cases, 12 non-self-healing cases) and 30 elderly patients with healthy controls (hereinafter referred to as HCs-elderly). Gut microbiota composition was analyzed using 16S rRNA gene sequencing. Bioinformatic analyses, including alpha diversity and STAMP, were performed. The predictive potential of Bacteroides fragilis was assessed using statistical analysis and receiver operating characteristic curves.

Alpha diversity indices showed no significant differences in microbial diversity between the AHE-elderly and HCs-elderly groups, nor between self-healing and non-self-healing groups among AHE-elderly patients. Nevertheless, a trend toward altered species richness was observed. In the AHE-elderly group, the relative abundance of Firmicutes, Lactobacillales, and Bacilli increased significantly. Meanwhile, compared with the self-healing group, Bacteroidetes were more abundant in the non-self-healing group. At the species level, Bacteroides fragilis was the most abundant in the non-self-healing group, significantly contributing to the divergence in gut microbiota between the two groups.

The relative abundance of Bacteroidetes significantly distinguished AHE-elderly patients from healthy controls and could more accurately predict recovery outcomes in elderly AHE patients. These findings suggest new strategies for preventing and managing AHE recurrence in the elderly patients.

Immunoinflammatory skin diseases are characterized by an imbalance in immune homeostasis, and their chronic inflammatory processes involve a complex regulatory network of CD4+ T cell differentiation. With the widespread use of biologics (e.g., interleukin-17/interleukin-23 inhibitors) in psoriasis, atopic dermatitis, and other diseases, the adverse effects triggered by the phenomenon of CD4+ T cell-mediated immune drift have attracted significant attention, with the skin being the primary target as an immune organ. In this paper, we provide a review of the clinical features of the skin and the mechanisms of immune drift caused by different types of biologics, as well as the therapeutic modalities.