Nonalcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases worldwide. In recent years, a new terminology and definition of metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed. Compared to the NAFLD definition, MAFLD better emphasizes the pathogenic role of metabolic dysfunction in the development and progression of this highly prevalent condition. Metabolic disorders, including overweight/obesity, type 2 diabetes mellitus (T2DM), atherogenic dyslipidemia and hypertension, are often associated with systemic organ dysfunctions, thereby suggesting that multiple organ damage can occur in MAFLD. Substantial epidemiological evidence indicates that MAFLD is not only associated with an increased risk of liver-related complications, but also increases the risk of developing several extra-hepatic diseases, including new-onset T2DM, adverse cardiovascular and renal outcomes, and some common endocrine diseases. We have summarized the current literature on the adverse effect of MAFLD on the development of multiple extrahepatic (cardiometabolic and endocrine) complications and examined the role of different metabolic pathways and organ systems in the progression of MAFLD, thus providing new insights into the role of MAFLD as a multisystem metabolic disorder. Our narrative review aimed to provide insights into potential mechanisms underlying the known associations between MAFLD and extrahepatic diseases, as part of MAFLD as a multisystem disease, in order to help focus areas for future drug development targeting not only liver disease but also the risk of extrahepatic complications.

Hepatocellular carcinoma is one of the leading causes of cancer-related mortality globally. The emergence of immunotherapy has been shown to be a promising therapeutic approach for hepatocellular carcinoma in recent years. It has been well known that T cell plays a key role in current immunotherapy. However, sustained exposure to antigenic stimulation within the tumor microenvironment may lead to T cell exhaustion, which may cause treatment ineffectiveness. Therefore, reversing T cell exhaustion has been an important issue for the clinical application of immunotherapy, and a comprehensive understanding of the intricacies surrounding T cell exhaustion and its underlying mechanisms is imperative for devising strategies to overcome the T cell exhaustion during treatment. In this review, we summarized the reported drivers of T cell exhaustion in hepatocellular carcinoma and delineate potential ways to reverse it. Additionally, we discussed the interplay among metabolic plasticity, epigenetic regulation, and transcriptional factors in exhausted T cells in hepatocellular carcinoma, and their implication for future clinical applications.

SOMI (Stages of Objective Memory Impairment) is a novel classification that identifies six stages of memory decline in Alzheimer\'s Disease (AD) using the Free and Cued Selective Reminding Test (FCSRT). However, the relationship between SOMI stages and brain metabolism remains unexplored. This study aims to investigate the metabolic correlates of SOMI stages using FDG-PET in Mild Cognitive Impairment due to AD (MCI-AD) and early AD patients.
One hundred twenty-nine-patients (99 aMCI-AD and 30 AD), and 42 healthy controls (HCs) (MMSE = 29.2 ± .8; age:69.1 ± 8.6 years; education:10.7 ± 3.8 years) who underwent an extensive neuropsychological battery including FCSRT and brain FDG-PET were enrolled. According to their clinical relevance and available sample sizes, SOMI-4 (N = 24 subjects; MMSE score:26.6 ± 2.6: age:75.4 ± 3.2; education:9.9 ± 4.5) and SOMI-5 groups (N = 97; MMSE:25.3 ± 2.6; age:73.9 ± 5.8; education:9.4 ± 4.1) were investigated.
Compared to HCs, SOMI-4 showed hypometabolism in the precuneus, medial temporal gyrus bilaterally, right pecuneus and angular gyrus. SOMI-5 exhibited broader hypometabolism, extending to the left posterior cingulate and medial frontal gyrus bilaterally. The conjunction analysis revealed overlapping areas in the precuneus, medial temporal gyrus bilaterally, and in the right angular gyrus and cuneus. The disjunction analysis identified SOMI-5 specific hypometabolism encompassing left inferior temporal gyrus, uncus and parahippocampal gyrus, and medial frontal gyrus bilaterally (p < .001, p-value (FWE) < .05).
SOMI-4 relates to posterior hypometabolism, while SOMI-5 to more extensive hypometabolism further encompassing frontal cortices, suggesting SOMI as a biologically relevant classification system of memory decline.
Memory decline staged with SOMI is associated with hypometabolism spreading in amnesic MCI-AD/AD, suggesting its usefulness as a clinical marker of increasing neurodegeneration.

In vivo magnetic resonance spectroscopy (MRS) has two modalities, single-voxel (SV) and multivoxel (MV), in which one or more contiguous grids of SVs are acquired.
OBJECTIVE: To test whether MV grids can be classified with models trained with SV.
METHODS: Retrospective study. Training dataset: Multicenter multiformat SV INTERPRET, 1.5T. Testing dataset: MV eTumour, 3T. Two classification tasks were completed: 3-class (meningioma vs. aggressive vs. normal) and 4-class (meningioma vs. low-grade glioma vs. aggressive vs. normal). Five different methods were tested for feature selection. The classification was implemented using linear discriminant analysis (LDA), random forest, and support vector machines. The evaluation was completed with balanced error rate (BER) and area under the curve (AUC) on both sets. The accuracy in class prediction was calculated by developing a solid tumor index (STI) and segmentation accuracy with the Dice score.
RESULTS: The best method was sequential forward feature selection combined with LDA, with AUCs = 0.95 (meningioma), 0.89 (aggressive), 0.82 (low-grade glioma), and 0.82 (normal). STI was 66% (4-class task) and 71% (3-class task) because two cases failed completely and two more had suboptimal STI as defined by us.
CONCLUSIONS: The reasons for failure in the classification of the MV test set were related to the presence of artifacts.

The limited information on microbial interactions and metabolic patterns in denitrification systems, especially those fed with different carbon sources, has hindered the establishment of ecological linkages between microscale connections and macroscopic reactor performance. In this work, denitrification performance, metabolic patterns, and ecological structure were investigated in parallel well-controlled bioreactors with four representative carbon sources, i.e., methanol, glycerol, acetate, and glucose. After long-term acclimation, significant differences were observed among the four bioreactors in terms of denitrification rates, organic utilization, and heterotrophic bacterial yields. Different carbon sources induced the succession of denitrifying microbiota toward different ecological structures and exhibited distinct metabolic patterns. Methanol-fed reactors showed distinctive microbial carbon utilization pathways and a more intricate microbial interaction network, leading to significant variations in organic utilization and metabolite production compared to other carbon sources. Three keystone taxa belonging to the Verrucomicrobiota phylum, SJA-15 order and the Kineosphaera genus appeared as network hubs in the methanol, glycerol, and acetate-fed systems, playing essential roles in their ecological functions. Several highly connected species were also identified within the glucose-fed system. The close relationship between microbial metabolites, ecological structures, and system performances suggests that this complex network relationship may greatly contribute to the efficient operation of bioreactors.

Adipose tissue-derived stem cells (ADSCs), a type of mesenchymal stem cell, have been used extensively in clinical trials for the treatment of multiple conditions, including sepsis. However, increasing evidence indicates that ADSCs vanish from tissues within days of administration. Consequently, it would be desirable to establish the mechanisms underlying the fate of ADSCs following transplantation.
In this study, sepsis serum from mouse models was used to mimic microenvironmental effects. Healthy donor-derived human ADSCs were cultured in vitro in the presence of mouse serum from normal or lipopolysaccharide (LPS)-induced sepsis models for the purposes of discriminant analysis. The effects of sepsis serum on ADSC surface markers and cell differentiation were analyzed by flow cytometry, and the proliferation of ADSCs was assessed using a Cell Counting Kit-8 (CCK-8) assay. Quantitative real-time PCR (qRT-PCR) was applied to assess the degree of ADSC differentiation. The effects of sepsis serum on the cytokine release and migration of ADSCs were determined based on ELISA and Transwell assays, respectively, and ADSC senescence was assessed by β-galactosidase staining and western blotting. Furthermore, we performed metabolic profiling to determine the rates of extracellular acidification and oxidative phosphorylation and the production of adenosine triphosphate and reactive oxygen species.
We found that sepsis serum enhanced the cytokine and growth factor secretion and migratory capacities of ADSCs. Moreover, the metabolic pattern of these cells was reprogrammed to a more activated oxidative phosphorylation stage, leading to an increase in osteoblastic differentiation capacity and reductions in adipogenesis and chondrogenesis.
Our findings in this study reveal that a septic microenvironment can regulate the fate of ADSCs.

Vascular cognitive impairment (VCI) is a critical issue in moyamoya disease (MMD). However, the glucose metabolic pattern in these patients is still unknown. This study aimed to identify the metabolic signature of cognitive impairment in patients with MMD using 18F-2-fluoro-2-deoxy-D-glucose positron emission tomography (18F-FDG PET) and establish a classifier to identify VCI in patients with MMD. One hundred fifty-two patients with MMD who underwent brain 18F-FDG PET scans before surgery were enrolled and classified into nonvascular cognitive impairment (non-VCI, n = 52) and vascular cognitive impairment (VCI, n = 100) groups according to neuropsychological test results. Additionally, thirty-three health controls (HCs) were also enrolled. Compared to HCs, patients in the VCI group exhibited extensive hypometabolism in the bilateral frontal and cingulate regions and hypermetabolism in the bilateral cerebellum, while patients in the non-VCI group showed hypermetabolism only in the cerebellum and slight hypometabolism in the frontal and temporal regions. In addition, we found that the patients in the VCI group showed hypometabolism mainly in the left basal ganglia compared to those in the non-VCI group. The sparse representation-based classifier algorithm taking the SUVr of 116 Anatomical Automatic Labeling (AAL) areas as features distinguished patients in the VCI and non-VCI groups with an accuracy of 82.4%. This study demonstrated a characteristic metabolic pattern that can distinguish patients with MMD without VCI from those with VCI, namely, hypometabolic lesions in the left hemisphere played a more important role in cognitive decline in patients with MMD.

BACKGROUND: Acteoside (ACT) is the main ingredient derived from the leaves of Rehmannia glutinosa (Dihuangye). Dihuangye has the function of clearing heat, replenishing qi and activating blood, nourishing yin and tonifying kidney in traditional Chinese medicine. Recent studies have demonstrated that Dihuangye can be used to treat nephritis and ACT is a promising antinephritic agent.
OBJECTIVE: To clarify the metabolites of ACT in biological samples and investigate the renoprotective effect and mechanism of ACT in rats with chronic glomerulonephritis (CGN).
METHODS: In this study, the biotransformation of ACT in rat biological samples was clarified by quadrupole time-of-flight tandem mass spectrometry. The metabolites were validated by urine samples in nephropathy model rats. The effect of ACT and its metabolites was evaluated by glomerular podocyte injury due to high glucose. Based on an analysis of the ingredients in vivo, the potential therapeutic targets in the treatment of CGN were investigated by using network pharmacological analysis and molecular docking. Then, the renoprotective effect and mechanism of ACT were determined in rats in a passive Heymann nephritis (PHN) model.
RESULTS: A total of 49 metabolites of ACT were detected and identified. Meanwhile, 21 metabolites were detected in nephropathy model rats. ACT was absorbed rapidly and transferred from the kidney, and the metabolites were eliminated via urine. The whole process lasted approximately 8 h. ACT had a significant protective effect on glomerular podocytes damaged by high glucose and 3,4-dihydroxyphenylacetic acid might be the main metabolite of ACT underlying its functions in vivo. The network pharmacology and molecular docking results showed 84 ACT-CGN targets, among which MAPK1, HRAS, AKT1, EGFR, and others were a highly correlated. In the PHN rat model, ACT significantly reduced the 24-h urine protein and serum creatinine concentrations, suppressed the leukocyte CD18 expression levels, decreased the serum tumor necrosis factor α (TNF-α) levels and tended to reduce serum interleukin 6 (IL-6) levels. ACT significantly reduced the platelet aggregation rate and inhibited the proliferative activity of splenic lymphocytes in response to the mitogen concanavalin A. Meanwhile, ACT inhibited transforming growth factor-β and fibronectin expression in renal tissues and dose-dependently inhibited TNF-α and IL-6 production in RAW264.7 mouse macrophages at doses ranging from 1.8 to 1330 μg/mL.
CONCLUSIONS: ACT had therapeutic effects on PHN rats, and its mechanism might be related to the inhibition of intercellular or intercellular-matrix adhesion, suppression of inflammatory response, regulation of immune function, improvement of tissue hemodynamics and hemorheology, and relief of fibrotic lesions.

This study aimed to investigate the formation and abatement strategies of biogenic amines (BAs) in the moromi contaminated accidently during Cantonese soy sauce (CSS) production processes. The ratio of total acid/amino nitrogen (TA/AAN) in koji can be used to predict the change in BAs content. Of the three main phases, BAs contents were more significantly increased once moromi manufacturing- and fermentation-phase were polluted. By co-culturing Tetragenococcus halophilus CGMCC3792 with Zygosaccharomyces rouxii CGMCC21865, BAs content was reduced by 59.96% and 51.10%, respectively, for the contaminated initial and fermenting moromi. Moreover, BAs content was reduced by 67.68% via the split batch fermentation method for the latter. Based on high throughput sequencing and metatranscriptome technology, BAs content was closely related to Lactobacillus abundance. It revealed the mechanism of abating BAs by inhibiting decarboxylase expression and changing redox potential. Therefore, it was an efficient strategy for abating BAs content and improving the flavor profile of CSS.

As a biological pump, the heart needs to consume a substantial amount of energy to maintain sustained beating. Myocardial energy metabolism was recently reported to be related to the loss of proliferative capacity in cardiomyocytes (CMs). However, the intrinsic relationship between beating rate and proliferation in CMs and whether energy metabolism can regulate this relationship remains unclear. In this study, we find that moderate heart rate reduction (HRR) induces CM proliferation under physiological conditions and promotes cardiac regenerative repair after myocardial injury. Mechanistically, moderate HRR induces G1/S transition and increases the expression of glycolytic enzymes in CMs. Furthermore, moderate HRR induces a metabolic pattern switch, activating glucose metabolism and increasing the relative proportion of ATP production by the glycolytic pathway for biosynthesis of substrates needed for proliferative CMs. These results highlight the potential therapeutic role of HRR in not only acute myocardial protection but also long-term CM restoration.