Escalating antimicrobial resistance is a global threat, emphasizing the need to explore alternative treatment options. Hence, we aimed to explore the in-vitro activity of ceftazidime-avibactam (CAZ-AVI) in clinical isolates of carbapenem-resistant gram-negative bacteria.

This was an observational, cross-sectional study conducted at the Microbiology Department of Indus Hospital, Karachi, Pakistan, from January 2023 to October 2024. Carbapenem-resistant gram-negative rods isolated from clinical specimens received from the outpatient, emergency, and inpatient departments were included. Consecutive, non-probability sampling was employed for the collection of isolates. Identification of the organisms was confirmed using API® ID strips, and antimicrobial susceptibility for carbapenems and CAZ-AVI was determined via the Kirby-Bauer disc diffusion method.

A total of 158 bacterial isolates were characterized as carbapenem-resistant. Of these, 92 (58%) were Enterobacterales, and 66 (42%) were Pseudomonas aeruginosa. CAZ-AVI was susceptible in 17 (11%) of the isolates, of which four (24%) were Klebsiella spp. and Escherichia coli each, and nine (52%) were P. aeruginosa. CAZ-AVI-susceptible strains were predominant among patients aged 26–50 years (n = 6; 35%), most of whom were females (n = 10; 59%) and inpatients (n = 8; 47%). Clinical samples from patients with urinary tract infections grew the most CAZ-AVI-susceptible strains (n = 9; 53%).

Our study demonstrated low CAZ-AVI susceptibility in our carbapenem-resistant gram-negative bacterial strains. Understanding regional antimicrobial patterns in multidrug-resistant bacteria is crucial for the effective use of CAZ-AVI, along with the strict implementation of strategies for controlling antimicrobial resistance.

Acupuncture treatment on the DU channel has shown therapeutic effects for Alzheimer’s disease (AD), but the underlying mechanisms are not yet clear. The purpose of this study was to comprehensively observe the protective effects of acupuncture on different brain regions in AD model mice, providing laboratory evidence for clinical acupuncture intervention in AD.

Eleven senescence-resistant strain 1 male mice were used as the normal control group. The senescence-accelerated prone strain 8 (SAMP8) male mice were used as AD model mice. Thirty-three SAMP8 mice were randomly divided into three groups: AD model group (group M), drug treatment group, and acupuncture treatment group (group A). The effect of acupuncture on learning and memory capabilities of SAMP8 mice was assessed by the Morris water maze test. Nissl staining was employed to provide a general view of the brain structure in AD model mice. Additionally, Western blot analysis was used to quantify Caspase-3 and tau protein levels.

In the spatial navigation test, the ratio of time mice spent in the goal quadrant in group M remained low, even lower than 25%. The ratio of time spent in the goal quadrant by mice in the acupuncture group on day 4 was higher than that on day 1 (P < 0.01). There was a trend indicating that the time ratio of mice in the acupuncture group during the probe trial was higher than in group M, though there was no statistically significant difference. Most traces of mice in group A were in the goal platform quadrant and across the platform in different, yet effective, ways. Compared to group M, most of the cells in the frontal cortex, hippocampus, and temporal cortex of mice in group A were round with clear stratification, regular arrangement, and increased Nissl bodies. The content of Caspase-3 in the frontal cortex and hippocampus of mice in the acupuncture group was lower than in group M (P < 0.01, P < 0.05). The content of tau in the hippocampus and temporal cortex of mice in group A was lower than in group M (P < 0.05; P < 0.01).

Acupuncture at the DU channel can improve learning and memory abilities to a certain degree by reducing apoptosis in the frontal cortex and hippocampus and decreasing tau deposition in the hippocampus and temporal cortex of AD model mice.

This review explores the integration of complexity science—specifically, the biological holographic phenomenon and chaos-fractal theory—with the fundamental principles of traditional Chinese medicine (TCM) to optimize perioperative recovery. It examines how these theories provide a scientific foundation for developing a digital TCM diagnosis and treatment platform. Key topics discussed include the application of digital four-diagnosis technology, visualization of perioperative Yin-Yang states, and artificial intelligence-driven biomarker discovery. By quantifying and digitizing core TCM concepts, this approach enables their incorporation into Enhanced Recovery After Surgery protocols. Ultimately, the review highlights the potential of integrating TCM with Western medicine to advance personalized postoperative management, offering both theoretical insights and practical strategies for improving perioperative care.

Patients with acute liver failure (ALF) or acute-on-chronic liver failure (ACLF) are at high risk of bleeding with traditional artificial liver support systems. To address the bleeding risk in liver failure patients, the safety of regional mesylate anticoagulation (RMA) in centrifugation artificial liver support systems (cALSS) is proposed for study.

In this prospective single-arm study, ALF and ACLF patients were treated with cALSS using RMA. Coagulation function was monitored, and the predictors of mesylate dose were analyzed using the area under the curve (AUC). Blood ammonia, model for end-stage liver disease scores, and survival rates at 28 and 90 days were assessed.

All 57 patients showed no new bleeding within 24 h post-cALSS. Most disseminated intravascular coagulation indicators improved at 0.5 h and 24 h post-cALSS. Thromboelastography showed hypocoagulability at 0.5 h post-cALSS. Univariate and multivariate analyses identified pre-R and pre-MA as key factors for R exceeding 10 m at 0.5 h post-cALSS, with odds ratios of 0.91 (95% confidence interval (CI): 0.84–0.98) and 2.03 (95% CI: 1.05–3.90), respectively, P < 0.05. The predictive values were pre-MA ≤ 38 mm (AUC = 0.817, 95% CI [0.690–0.907], P < 0.001) and pre-R > 6.3 m (AUC = 0.790, 95% CI [0.661–0.888], P < 0.001). Patients showed improvements in blood ammonia and model for end-stage liver disease scores after the last session, especially those with high initial levels (>80 µmol/L and >30). The 28-day and 90-day survival rates of ALF patients were similar to those of ACLF patients.

cALSS with RMA is safe for liver failure patients with a high risk of bleeding. Adjusting the mesylate dose based on pre-R and pre-MA enhances safety.

Endometrial cancer (EC) is one of the most prevalent malignancies of the female reproductive system and ranks among the three primary types of gynecological cancers. Recent trends indicate a rising incidence of EC in younger patients, highlighting the urgent need for effective early screening strategies. This review examines the challenges associated with early diagnosis and screening, including ambiguous methodologies (e.g., transvaginal ultrasound: sensitivity 80–90%, specificity 60–70%), undefined target populations, and the absence of efficient, cost-effective, minimally invasive solutions (e.g., cytology sensitivity ≤50% in community settings). The article provides an overview of the current landscape and emerging innovations in universal EC screening, highlighting advancements in early detection and diagnosis, such as DNA methylation panels (sensitivity 89–94%, specificity 91–97% in phase II trials) and vibrational spectroscopy (sensitivity 92%, specificity 88% in pilot studies). Additionally, future directions for implementing effective screening strategies are explored, emphasizing the potential of high-accuracy biomarkers and scalable technologies to reduce mortality and healthcare costs.

The incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) has been escalating annually, positioning it as the leading cause of chronic liver disease worldwide. Ursolic acid has demonstrated promising therapeutic efficacy in managing MASLD, thereby justifying the need for an in-depth exploration of its pharmacological mechanisms. This study aimed to investigate elucidate the therapeutic mechanisms by which ursolic acid modulates estrogen conversion in the treatment of MASLD.

Building upon prior studies that have highlighted the potent anti-inflammatory effects of ursolic acid and its specific targeting of 17β-hydroxysteroid dehydrogenase 14 (HSD17B14), this investigation employed a western diet to induce MASLD in murine models with varying severities over different time intervals.

The protein expression of HSD17B14 initially increased, followed by a subsequent decrease. This trend was accompanied by corresponding changes in 17β-estradiol (E2) and estrone (E1) levels. Intervention with ursolic acid resulted in a reduction in HSD17B14 and E1 levels during the phase of high HSD17B14 expression, while simultaneously elevating E2 levels. In steatotic hepatocytes, E1 promoted cellular inflammation, whereas E2 exhibited anti-inflammatory effects. However, the alleviated effects of E2 were antagonized by HSD17B14. As expected, ursolic acid modulated HSD17B14, thereby mitigating the inflammatory response in steatotic hepatocytes.

HSD17B14, a crucial enzyme regulating the balance between E1 and E2, catalyzes the conversion of estrogen E2 into E1, thereby exacerbating tissue inflammation induced by metabolic stress. Ursolic acid, by modulating HSD17B14-mediated estrogen conversion, appears to ameliorate immune-related inflammation in MASLD.

Tumors are complex systems characterized by variations across genetic, transcriptomic, phenotypic, and microenvironmental levels. This study introduced a novel framework for quantifying cancer cell heterogeneity using single-cell RNA sequencing data. The framework comprised several scores aimed at uncovering the complexities of key cancer traits, such as metastasis, tumor progression, and recurrence.

This study leveraged publicly available single-cell transcriptomic data from three human breast cancer subtypes: estrogen receptor-positive, human epidermal growth factor receptor 2-positive, and triple-negative. We employed a quantitative approach, analyzing copy number alterations (CNAs), entropy, transcriptomic heterogeneity, and diverse protein-protein interaction networks (PPINs) to explore critical concepts in cancer biology.

We found that entropy and PPIN activity related to the cell cycle could distinguish cell clusters with elevated mitotic activity, particularly in aggressive breast cancer subtypes. Additionally, CNA distributions varied across cancer subtypes. We also identified positive correlations between the CNA score, entropy, and the activities of PPINs associated with the cell cycle, as well as those linked to basal and mesenchymal cell lines.

This study addresses a gap in the current understanding of breast cancer heterogeneity by presenting a novel quantitative approach that offers deeper insights into tumor biology, surpassing traditional marker-based methods.

Breast cancer is one of the leading causes of mortality among women worldwide. Tumor necrosis factor α-induced protein 3-interacting protein 1 (TNIP1) is a ubiquitin-binding protein that is widely expressed, but its function in breast cancer cells remains unknown. This study aimed to elucidate the molecular mechanism of TNIP1 regulation in the proliferation and apoptosis of breast cancer cells.

A colony formation assay was conducted on MCF-7 and T47D cells stably transfected with TNIP1/cyclin G1 (CCNG1) short hairpin RNAs. Quantitative polymerase chain reaction was performed to assess the relative abundances of TNIP1, CCNG1, and cyclin D1 (CCND1) messenger RNAs. Immunoprecipitation and immunoblotting were used to detect the expression of TNIP1, CCNG1, CCND1, and related proteins. A dual-luciferase reporter assay was employed to explore the molecular mechanism of TNIP1 in signal transduction. Caspase activity in MCF-7 and T47D cells transfected with TNIP1 short hairpin RNAs was measured using the Caspase-Glo 3/7 assay.

Ablation of TNIP1 induced growth arrest in breast cancer cells. TNIP1 directly interacted with CCNG1, and TNIP1 knockdown increased the ubiquitination of CCNG1. CCNG1 knockdown also induced growth arrest in MCF-7 and T47D cells. Furthermore, TNIP1 knockdown activated the NF-κB pathway and induced apoptosis in these cells.

TNIP1 regulates the proliferation and apoptosis of breast cancer cells, suggesting that TNIP1 may serve as a potential biomarker for breast cancer.