Age-related differences in drug-induced liver injury: a retrospective single-center study from a large liver disease specialty hospital in China, 2002-2022.

BACKGROUND AND AIMS: Drug-induced liver injury (DILI) is a prevalent adverse reaction in clinical settings. However, there is limited research on age-related differences in DILI. We performed a large-scale retrospective study to delineate the characteristics of DILI across different age groups. METHODS: We collected data on a total of 17,946 patients with confirmed DILI hospitalized at the Fifth Medical Center of the People's Liberation Army (PLA) General Hospital in Beijing, China, from January 1, 2002, to December 31, 2022. The patients were stratified based on age into the following groups: children (< 18 years), young adults (18-44 years), middle-aged individuals (45-64 years), and elderly individuals (≥ 65 years). We gathered demographic information, medical histories, laboratory results, disease severity assessments, and mortality statistics for all patients. RESULTS: Overall, the distribution of DILI cases across different age groups was as follows: 6.57% were children, 24.82% were young adults, 49.06% were middle-aged individuals, and 19.54% were elderly individuals. The percentage of females increased with age, rising from 36.47% in the pediatric group to 60.51% in the elderly group. Notably, central nervous system agents (15.44%) and anti-infectious agents (21.80%) were more commonly associated with DILI in children, while cardiovascular agents (10.58%) and herbal dietary supplements or traditional medicines (H/TMs) (26.29%) were more prevalent among elderly people with DILI. Among all age groups, hepatocellular-type DILI was more common in the pediatric group (p < 0.001), whereas cholestatic-type DILI and chronic DILI were more prevalent in the elderly group (p < 0.001). Acute liver failure (ALF) and fatal outcomes were more prevalent in the pediatric and elderly groups, particularly in the pediatric group (2.04%, p = 0.041; 0.85%, p = 0.007, respectively). CONCLUSIONS: Children and elderly individuals face a higher risk of adverse outcomes following DILI.

Salivary metabolites are promising noninvasive biomarkers of drug-induced liver injury.

BACKGROUND: Drug-induced liver injury (DILI) is one of the most common adverse events of medication use, and its incidence is increasing. However, early detection of DILI is a crucial challenge due to a lack of biomarkers and noninvasive tests. AIM: To identify salivary metabolic biomarkers of DILI for the future development of noninvasive diagnostic tools. METHODS: Saliva samples from 31 DILI patients and 35 healthy controls (HCs) were subjected to untargeted metabolomics using ultrahigh-pressure liquid chromatography coupled with tandem mass spectrometry. Subsequent analyses, including partial least squares-discriminant analysis modeling, t tests and weighted metabolite coexpression network analysis (WMCNA), were conducted to identify key differentially expressed metabolites (DEMs) and metabolite sets. Furthermore, we utilized least absolute shrinkage and selection operato and random fores analyses for biomarker prediction. The use of each metabolite and metabolite set to detect DILI was evaluated with area under the receiver operating characteristic curves. RESULTS: We found 247 differentially expressed salivary metabolites between the DILI group and the HC group. Using WMCNA, we identified a set of 8 DEMs closely related to liver injury for further prediction testing. Interestingly, the distinct separation of DILI patients and HCs was achieved with five metabolites, namely, 12-hydroxydodecanoic acid, 3-hydroxydecanoic acid, tetradecanedioic acid, hypoxanthine, and inosine (area under the curve: 0.733-1). CONCLUSION: Salivary metabolomics revealed previously unreported metabolic alterations and diagnostic biomarkers in the saliva of DILI patients. Our study may provide a potentially feasible and noninvasive diagnostic method for DILI, but further validation is needed.

Deciphering the pharmacological mechanisms of Shenlingbaizhu formula in antibiotic-associated diarrhea treatment: Network pharmacological analysis and experimental validation.

ETHNOPHARMACOLOGICAL RELEVANCE: Shenlingbaizhu (SLBZ) formula, a classical traditional Chinese medicinal (TCM) formula, has been widely used for treating antibiotic-associated diarrhea (AAD). However, the underlying pharmacological mechanisms have not yet been investigated thoroughly. AIM OF THE STUDY: To explore the remission mechanism of SLBZ in the treatment of AAD, we conducted network pharmacological analysis and experimental validation in vitro and in vivo. MATERIALS AND METHODS: In this study, the main compounds of SLBZ were identified by ultra-high-performance liquid chromatography-mass spectroscopy (UHPLC-MS) and online databases. The targets of the active components and AAD-related targets were predicted by network pharmacology, and the potential targets of SLBZ against AAD were obtained. Then the core targets were recognized after Protein-Protein Interaction (PPI) analysis. Based on these, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analyses were conducted, and the key pathway was screened. Subsequently, molecular docking was performed using Auto Dock Vina to find the key components that played a crucial role in that pathway. Molecular dynamics simulation was performed by Gromacs software to detect the binding mode. Finally, the results were confirmed by in vitro and in vivo experiments. RESULTS: A total of 66 active ingredients of SLBZ were detected by UHPLC-MS, and 128 active ingredients were screened out by network pharmacological analysis. Additionally, 935 drug targets and 1686 AAD-related targets were obtained. Seventy-eight intersected genes were selected as potential therapeutic targets and 19 genes were excavated as core targets. Enrichment analysis revealed PI3K-AKT signaling pathway was the key pathway in SLBZ against AAD. Topological analysis further revealed that JAK2, MTOR, TLR4, and SYK were the key targets affected by SLBZ on the PI3K-AKT pathway, and 52 components of SLBZ were associated with them. Molecular docking and dynamics simulation revealed strong binding affinities between MTOR and diosgenin. Subsequently, after SLBZ treatment, the expression levels of JAK2, MTOR, TLR4, and SYK were found significantly upregulated in the AAD model rats (p < 0.05). The cell experiment further validated the good binding ability between MTOR and diosgenin. CONCLUSION: We demonstrate that the therapeutic effect of SLBZ on AAD was achieved in part by inhibiting the PI3K-AKT pathway.

The Treatment of Depersonalization-Derealization Disorder: A Systematic Review.

Depersonalization-derealization disorder (DPD) is characterized by persistent or recurrent experiences of detachment from oneself and surroundings, as well as a sense of unreality. Considering the inadequacy of current research on treatment, we performed a systematic review of the available pharmacotherapies, neuromodulations, and psychotherapies for DPD. The systematic review protocol was based on PRISMA 2020 guidelines and pre-registered. The PubMed, Web of Science, PsycINFO, Embase, the Cochrane Library, Scopus, and ScienceDirect databases were searched from inception to June 2021. All treatments for DPD and all study types, including controlled and observational studies as well as case reports, were assessed. Of the identified 17,540 studies, 41 studies (four randomized controlled trials, one non-randomized controlled trial, 10 case series, and 26 case reports) involving 300 participants met the eligibility criteria. We identified 30 methods that have been applied independently or in combination to treat DPD since 1955. The quality of these studies was considered. The relationship between individual differences, such as symptoms, comorbidities, history, and duration since onset, and treatment effects was explored. The results suggest that a series of treatments, such as pharmacotherapies, neuromodulation, and psychotherapies, could be considered in combination. However, the quality and quantity of studies were generally low considering the high prevalence of DPD. The review concludes with suggestions for future research and an urgent call for more high-quality research.

Manpixiao Decoction Halted the Malignant Transformation of Precancerous Lesions of Gastric Cancer: From Network Prediction to In-Vivo Verification.

Manpixiao decoction (MPX), a traditional Chinese medicine formula, is mainly used to improve the gastric mucosal pathology and stomach discomfort in patients with gastric precancerous lesions. Precancerous lesion of gastric cancer (PLGC) refers to intestinal metaplasia and/or dysplasia based on gastric mucosal atrophy. Effective prevention and treatment of PLGC is of great significance to reduce the incidence of gastric cancer. Because of the complexity of the etiology and pathogenesis of PLGC, there is no unified and effective treatment plan in western medicine. In recent years, traditional Chinese medicine has shown obvious advantages in the treatment of PLGC and the prevention of its further progression to gastric cancer, relying on its multi-approach and multi-target comprehensive intervention characteristics. This study is designed to examine the protective effect of MPX against PLGC and further to reveal the engaged mechanism via integrating network pharmacology and in vivo experimental evidence. Network pharmacology results demonstrated that inflammation, immune responses, and angiogenesis might be associated with the efficacy of MPX in the treatment of PLGC, in which the PI3K-Akt, cellular senescence, P53 and protein processing in endoplasmic reticulum were involved. Then, we established a rat model of PLGC using a combination of N-methyl-N'-nitro-N-nitrosoguanidine (MNNG), sodium salicylate, irregular fasting, and ranitidine, and observed the effects after MPX treatment. Our result showed that MPX improved the pathological condition of gastric mucosa in PLGC rats and reduced the incidence of gastric cancer. Next, the analysis of serum inflammatory cytokines showed that MPX reduced the inflammation-related cytokines (such as IL-1α, IL-7, CSF-1, and CSF-3) in the serum. Additionally, MPX also had a regulation effect on the "protein/protein phosphorylation-signaling pathway" network in the core region of the PLGC rats. It is showed that MPX can inhibit the phosphorylation of PI3K-AKT, and downregulates the EGFR, ß-catenin, and N-cadherin protein levels. These results indicate that MPX halted the PLGC progression through inhibiting EGFR-PI3K-AKT related epithelial-mesenchymal transition process.

Potential Targets for Noninvasive Brain Stimulation on Depersonalization-Derealization Disorder.

INTRODUCTION: Non-invasive brain stimulation seems to be beneficial for DPD patients. However, the sites used in previous studies were empirical. Exploring new stimulation locations via functional magnetic resonance imaging may improve the efficacy. OBJECTIVES: The objective was to find potential locations for non-invasive brain stimulation on the depersonalization-derealization disorder. METHODS: We explored the potential brain surface regions from three pipelines: pipeline 1: activation likelihood estimation meta-analysis (five studies with 36 foci included); pipeline 2: functional connectivity analysis based on DPD-network (76 subjects included); and pipeline 3: functional connectivity analysis based on DPD regions of interest from the meta-analysis. Potential targets were the 10-20 system coordinates for brain surface regions. RESULTS: We identified several potential brain surface regions, including the bilateral medial prefrontal cortex, dorsal lateral prefrontal cortex, superior parietal gyrus, superior temporal gyrus, and right ventrolateral prefrontal cortex as potential sites. CONCLUSION: Our findings of the potential stimulation targets might help clinicians optimize the application of non-invasive brain stimulation therapy in individuals with DPD.

Real-time phase-retrieval and wavefront sensing enabled by an artificial neural network.

In this manuscript we demonstrate a method to reconstruct the wavefront of focused beams from a measured diffraction pattern behind a diffracting mask in real-time. The phase problem is solved by means of a neural network, which is trained with simulated data and verified with experimental data. The neural network allows live reconstructions within a few milliseconds, which previously with iterative phase retrieval took several seconds, thus allowing the adjustment of complex systems and correction by adaptive optics in real time. The neural network additionally outperforms iterative phase retrieval with high noise diffraction patterns.