MD-1 is a time-tested polyherbal diabetes supplement in Tamil Nadu, India. It is composed of dried powdered herbs: Phyllanthus amarus Schum. & Thonn, Tinospora cordifolia (Willd.) Miers ex Hook. F. & Thoms, Emblica officinalis Gaertn., Eugenia jambolana Lam., Gymnema sylvestre R. Br. Ex, and Cassia auriculata Linn. This study aimed to investigate the in vivo effects of MD-1 in high-fat diet (HFD)-induced diabetes mellitus in C57BL/6J mice.

After 10 weeks of HFD induction, diabetic mice (n = 60) were randomized to 21-day treatments with MD-1, metformin, or left untreated on a standard pellet diet. Fasting blood glucose, triacylglycerol (TAG), total cholesterol, and liver tissue markers including superoxide dismutase, glutathione peroxidase, glutathione, thiobarbituric acid reactive substance, glucokinase, fructose-1,6-bisphosphatase, and glucose-6-phosphatase expressions were measured. Adipose tissue tumor necrosis factor (TNF)-α infiltration and messenger RNA expression of peroxisome proliferator-activated receptor γ (PPAR-γ) and glucose transporter type 4 (Glut4) were also analyzed.

MD-1 treatment significantly reduced elevated fasting blood glucose, TAG, and total cholesterol in HFD-fed mice and countered HFD-induced weight gain despite unchanged caloric intake. Improved adipose tissue function was evidenced by reduced TNF-α infiltration and increased messenger RNA expression of PPAR-γ and Glut4. MD-1 attenuated HFD-induced fatty liver disease by reducing oxidative stress and TAG accumulation, suggesting a possible two-hit mechanism.

MD-1 administration primarily targets adipose tissue TNF-α signaling in HFD mice, restoring function via PPAR-γ/Glut4 expression. These findings support its glycemic intervention potential and justify its supplementation in diabetes.

In the post-genomic era, long non-coding RNAs (lncRNAs) have emerged as critical regulators in various cancers and hold potential as minimally invasive diagnostic biomarkers. This study aimed to perform microarray analysis of the peripheral blood mononuclear cell (PBMC) transcriptome to evaluate differential lncRNA expression in women with luminal A breast cancer.

A one-color microarray analysis was conducted using SurePrint G3 Human Unrestricted 8×60K arrays and a SureScan Microarray Scanner (Agilent Technologies, USA). The study cohort comprised 16 participants: eight patients diagnosed with luminal A breast cancer and eight healthy controls. Bioinformatic analysis was performed using the “limma” and “tidyverse” packages in the R statistical environment. Functional enrichment analysis was conducted to identify significantly differentially expressed gene clusters. The false discovery rate-adjusted p-value (padj) was applied to ensure methodological rigor. Associations between lncRNAs and disease progression were explored using the LncRNADisease 2.0 database.

Differential expression was observed for long intergenic non-coding (LINC), LOC, and antisense RNA genes. Notably, LINC RNA 974 (LINC00974) exhibited significant differential expression (log fold change > |1.5|, padj < 0.05) after multiple comparison correction. Analysis using the LncRNADisease 2.0 database revealed associations between LINC and antisense RNAs and other oncological disorders.

This study is the first to demonstrate differential lncRNA expression in PBMCs of patients with luminal A breast cancer. Despite the limited sample size, the study demonstrates statistically significant differences between groups, highlighting the potential of PBMC-derived lncRNAs as minimally invasive biomarkers. These findings enhance our understanding of the utility of PBMC-derived lncRNAs as biomarkers for breast cancer.

Metaplastic breast carcinoma, a rare entity (<1% of breast neoplasms), lacks comprehensive spectroscopic characterization. This study aimed to address this gap by providing a qualitative and quantitative spectroscopic profile of metaplastic carcinoma in comparison to ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC).

A retrospective analysis was conducted on archival tissue blocks of metaplastic carcinoma (n = 10), DCIS (n = 12), and IDC (n = 31). Sections were stained with hematoxylin and eosin for histological confirmation. Attenuated total reflectance Fourier-transform infrared spectroscopy was performed on adjacent unstained sections, with normal breast tissue (n = 10) serving as the control. Spectral data were analyzed using t-tests to identify significant differences in peak intensities and ratios. Hierarchical clustering analysis and receiver operating characteristic curves were generated to assess the diagnostic potential of selected spectral features.

Spectral analysis revealed that mean peak intensities were generally lower in all carcinoma subtypes compared to normal breast tissue. Specific ratios, including A1237/A1080 (phosphate; p < 0.01), A1043/1543 (glycogen; p < 0.01), and A1080/A1632 (nucleocytoplasmic index; p < 0.03), were significantly elevated in carcinomatous tissues. Receiver operating characteristic analysis identified peak 3,280 (area under the curve (AUC) = 0.93–0.96) as highly effective in differentiating normal from carcinomatous tissues. Peak 2,922 showed specificity for distinguishing normal tissue from IDC (AUC ≈ 0.7). Peak 1,744 effectively discriminated between DCIS and metaplastic carcinoma (AUC = 0.7). The ratio 1,080/1,632 (nucleocytoplasmic ratio) demonstrated exceptional diagnostic accuracy, distinguishing normal from carcinomatous tissues (AUC ≈ 1.0), DCIS from IDC (AUC ≈ 0.86), and DCIS from metaplastic carcinoma (AUC ≈ 0.8).

Attenuated total reflectance Fourier-transform infrared spectroscopy, particularly using peak 3,280 (Amide A) and the 1,080/1,632 ratio (nucleocytoplasmic index), offers a promising approach for discriminating between normal breast tissue and carcinoma, as well as differentiating pre-IDC from metaplastic carcinoma. These spectral markers demonstrate both statistical significance and diagnostic potential.

Fiberoptic bronchoscopy involves various topical airway anesthesia protocols, which can impact patient comfort, procedural ease, and overall outcomes. This study aimed to compare pre-procedure lignocaine spray (PPL) and spray-as-you-go (SAYG) airway anesthesia in terms of patient discomfort and operator comfort during fiberoptic bronchoscopy.

A single-blind randomized controlled trial was conducted at the Pulmonology Department of Shaikh Zayed Hospital, Lahore, Pakistan, from March 2021 to March 2022. Fifty participants were randomly assigned to two groups (n = 25 each). Standard procedural sedation with midazolam and 2 mL of 4% lignocaine spray in the oropharynx was used to suppress the gag reflex. Additionally, 2% lignocaine spray was administered during the procedure according to body weight (3 mg/kg) via oral scope insertion. Cough severity, pain perception, and operator comfort were assessed using the Visual Analogue Scale, Faces Pain Rating Scale, and a 4-point Likert scale, respectively.

Demographic characteristics were comparable between the groups, with a minor age difference (PPL: 53.25 years vs. SAYG: 50.88 years, p = 0.017). No significant differences were observed in pain perception, cough scores, or procedure duration between the PPL and SAYG groups. Operator comfort scores showed a trend favoring PPL (60% rated as “comfortable” or “very comfortable” vs. 28% in SAYG), though the difference was not statistically significant (p = 0.108).

Both PPL and SAYG topical airway anesthesia methods demonstrated similar effectiveness in pain control, cough suppression, operator comfort, and procedure duration. There was a slight, non-significant preference for PPL in operator comfort. These findings suggest that either technique may be effectively used, with potential implications for procedural efficiency and patient outcomes.

Khat (Catha edulis) is a plant native to East Africa and the Arabian Peninsula, chewed for its stimulant effects by millions worldwide. Its sympathomimetic properties, primarily due to cathinone and other pyrrolizidine alkaloids, resemble those of amphetamine. Emerging reports have linked khat use to the development of autoimmune hepatitis, supported by elevated autoimmune markers, characteristic liver biopsy findings, and clinical resolution following khat cessation or a prompt response to corticosteroid therapy without recurrence. In this review, we aimed to update knowledge on both acute and chronic forms of khat-associated AIH. We discuss cathinone metabolism, pharmacokinetics, and proposed mechanisms of khat hepatotoxicity. We also provide an updated synthesis of published cases of khat-associated autoimmune hepatitis, including our calculated Roussel-Uclaf Causality Assessment Method analysis and the simplified Hennes AIH score where data were available. Case presentations, diagnostic criteria, histopathological findings, and treatment approaches are summarized to help guide management.

Artificial intelligence (AI) is profoundly transforming the paradigm of solid tumor drug development. By integrating multi-omics data, spatial transcriptomics, and advanced computational models, AI has significantly accelerated the discovery and validation of new targets, compressing the traditional ten-year research and development cycle to two to three years. Generative AI platforms have optimized small molecule inhibitors, biologics, and messenger RNA vaccines, achieving breakthroughs in overcoming tumor heterogeneity, improving efficacy, and predicting drug resistance. However, clinical translation still faces challenges such as data bias, algorithm transparency, and the validation gap between models and real-world human experience. This review aims to systematically elaborate on the transformative role of AI in solid tumor drug development and to promote interdisciplinary cooperation as well as the construction of ethical frameworks to enable the full realization of precision oncology.

High-grade serous carcinoma is a rare diagnosis in cervical biopsies. Cervical serous carcinoma is no longer recognized as a primary cervical tumor in the 2020 World Health Organization classification. This study aimed to characterize the clinicopathologic, immunohistochemical, and molecular features of high-grade serous carcinoma identified in cervical or endocervical biopsies, to assess tumor origin and ensure accurate classification.

Fifty-nine cases originally diagnosed as “serous carcinoma” or “high-grade serous carcinoma” in cervical or endocervical biopsies from 2013 to 2023 were retrospectively reviewed. Clinical data, radiologic findings, and follow-up information were analyzed. Histologic features and immunohistochemical profiles were re-evaluated. Targeted next-generation sequencing was performed on a subset of cases.

The majority of tumors (96%) were determined to originate from the endometrium (n = 47) or the tubo-ovarian region (n = 4), with only one case confirmed as a primary cervical carcinoma. Morphologic patterns varied and could mimic human papillomavirus-associated adenocarcinoma. All tumors showed aberrant p53 expression and diffuse p16 positivity. WT-1 was expressed in all tubo-ovarian tumors but in only 12% of endometrial cases. Estrogen receptor and progesterone receptor were frequently positive in endometrial tumors; human epidermal growth factor receptor 2 was positive in 31% of cases. Molecular analysis confirmed tumor protein p53 mutations and other alterations typical of uterine serous carcinoma.

High-grade serous carcinoma identified in cervical biopsies is overwhelmingly secondary to upper genital tract tumors, most commonly of endometrial origin. A small subset of endocervical adenocarcinomas may mimic serous carcinoma. These findings support the exclusion of primary cervical serous carcinoma from the current World Health Organization classification and emphasize the importance of accurate diagnosis for appropriate management.