TPCs: FROM PLANT TO HUMAN

In 2005, the Arabidopsis thaliana two-pore channel TPC1 channel was identified as a vacuolar Ca2+-release channel. In 2009, three independent groups published studies on mammalian TPCs as nicotinic acid adenine dinucleotide phosphate (NAADP)-activated endolysosomal Ca2+ release channels, results that were eventually challenged by two other groups, claiming mammalian TPCs to be phosphatidylinositol-3,5-bisphosphate [PI(3,5)P2]-activated Na+ channels. By now this dispute seems to have been largely reconciled. Lipophilic small molecule agonists of TPC2, mimicking either the NAADP or the PI(3,5)P2 mode of channel activation, revealed, together with structural evidence, that TPC2 can change its selectivity for Ca2+ versus Na+ in a ligand-dependent fashion (N- vs. P-type activation). Furthermore, the NAADP-binding proteins Jupiter microtubule-associated homolog 2 protein (JPT2) and Lsm12 were discovered, corroborating the hypothesis that NAADP activation of TPCs only works in the presence of these auxiliary NAADP-binding proteins. Pathophysiologically, loss or gain of function of TPCs has effects on autophagy, exocytosis, endocytosis, and intracellular trafficking, e.g., LDL cholesterol trafficking leading to fatty liver disease or viral and bacterial toxin trafficking, corroborating the roles of TPCs in infectious diseases such as Ebola or COVID-19. Defects in the trafficking of epidermal growth factor receptor and β1-integrin suggested roles in cancer. In neurodegenerative lysosomal storage disease models, P-type activation of TPC2 was found to have beneficial effects on both in vitro and in vivo hallmarks of Niemann-Pick disease type C1, Batten disease, and mucolipidosis type IV. Here, we cover the latest on the structure, function, physiology, and pathophysiology of these channels with a focus initially on plants followed by mammalian TPCs, and we discuss their potential as drug targets, including currently available pharmacology.

Lysosomal TPC2 channels disrupt Ca2+ entry and dopaminergic function in models of LRRK2-Parkinson's disease

Parkinson's disease results from degeneration of dopaminergic neurons in the midbrain, but the underlying mechanisms are unclear. Here, we identify novel crosstalk between depolarization-induced entry of Ca2+ and lysosomal cation release in maintaining dopaminergic neuronal function. The common disease-causing G2019S mutation in LRRK2 selectively exaggerated Ca2+ entry in vitro. Chemical and molecular strategies inhibiting the lysosomal ion channel TPC2 reversed this. Using Drosophila, which lack TPCs, we show that the expression of human TPC2 phenocopied LRRK2 G2019S in perturbing dopaminergic-dependent vision and movement in vivo. Mechanistically, dysfunction required an intact pore, correct subcellular targeting and Rab interactivity of TPC2. Reducing Ca2+ permeability with a novel biased TPC2 agonist corrected deviant Ca2+ entry and behavioral defects. Thus, both inhibition and select activation of TPC2 are beneficial. Functional coupling between lysosomal cation release and Ca2+ influx emerges as a potential druggable node in Parkinson's disease.

Data independent acquisition proteomics and machine learning reveals that proteins associated with immunity are potential molecular markers for early diagnosis of autism

BACKGROUND

Early diagnosis of autism is critical to its treatment, but so far, there is no clear molecular marker for early diagnosis in children.

METHODS

We used data independent acquisition (DIA) mass spectrometry to compare protein expression in serum from 99 Chinese children with autism spectrum disorders with 70 healthy children.

RESULTS

We identified 347 downregulated and 394 upregulated proteins. Based on bioinformatics analysis, differential proteins were enriched in the immune system, immune disease, cell motility, and focal adhesion. Machine learning revealed a model with eight proteins (IGH c1898_heavy_IGHV3-33_IGHD3-9_IGHJ4, LYZ, IGL c1860_light_IGLV8-61_IGLJ2, SERPINA10, IG c1421_light_IGKV1-27_IGKJ4, rheumatoid factor RF-ET1, IGL c600_light_IGKV4-1_IGKJ4, and SELL) that were mostly associated with immunity, and accurate for diagnosis of autism. The protein family was verified by a logic-regression leave-one cross-validation method with bidirectional feature screening. The accuracy of this model was 0.9527, and the kappa coefficient was 0.9025.

CONCLUSIONS

Our study showed that immunity is closely related to the onset of autism and can be used for early screening of patients. A model with eight proteins (IGH c1898_heavy_IGHV3-33_IGHD3-9_IGHJ4, LYZ, IGL c1860_light_IGLV8-61_IGLJ2, SERPINA10, IG c1421_light_IGKV1-27_IGKJ4, rheumatoid factor RF-ET1, IGL c600_light_IGKV4-1_IGKJ4, and SELL), which are mostly associated with immunity, is accurate for diagnosis of autism.

Key Mechanisms in Lysosome Stability, Degradation and Repair

Lysosomes are organelles that play pivotal roles in macromolecule digestion, signal transduction, autophagy, and cellular homeostasis. Lysosome instability, including the inhibition of lysosomal intracellular activity and the leakage of their contents, is associated with various pathologies, including cancer, neurodegenerative diseases, inflammatory diseases and infections. These lysosomal-related pathologies highlight the significance of factors contributing to lysosomal dysfunction. The vulnerability of the lysosomal membrane and its components to internal and external stimuli make lysosomes particularly susceptible to damage. Cells are equipped with mechanisms to repair or degrade damaged lysosomes to prevent cell death. Understanding the factors influencing lysosome stabilization and damage repair is essential for developing effective therapeutic interventions for diseases. This review explores the factors affecting lysosome acidification, membrane integrity, and functional homeostasis and examines the underlying mechanisms of lysosomal damage repair. In addition, we summarize how various risk factors impact lysosomal activity and cell fate.

Subjective cognitive decline in conjunction with cerebrospinal fluid anti-ATP1A3 autoantibodies and a low amyloid β 1-42/1-40 ratio: Report and literature review

BACKGROUND

Animal studies reveal the role of the sodium/potassium transporting ATPase α-3 subunit (ATP1A3) in maintaining the resting membrane potential and thus in synaptic information processing and potentially cognitive disorders. However, autoantibodies against AT1A3 have not previously been reported in patients with subjective cognitive decline.

CASE PRESENTATION

We report the case of a 57-year-old female who underwent neuropsychological testing, magnetic resonance imaging (MRI) and 18 F fluorodesoxyglucose positron emission tomography (FDG-PET) imaging, and cerebrospinal fluid (CSF) analysis. Neural autoantibodies were assessed in serum and CSF. We found a normal cognitive profile together with a self-reported cognitive decline, and such consistent with subjective cognitive decline (SCD). Analysis of the cerebrospinal fluid revealed anti-ATP1A3 autoantibodies. ATP1A3 autoantibodies were also detected in serum. Analysis of amyloid pathology markers in the CSF showed a slightly reduced amyloid β1-42/ amyloid β1-40 ratio. In view of the possible paraneoplastic autoantibodies, whole-body FDG-PET was performed, which did not reveal a malignancy-specific lesion. FDG-PET of the brain also showed no hypometabolism. We diagnosed SCD based on CSF-affirmed possible Alzheimer´s pathologic change with ATP1A3 autoantibodies in CSF and serum.

CONCLUSIONS

To our knowledge, this is the first report of CSF and serum ATP1A3 autoantibodies associated with SCD although an incidental finding cannot be fully excluded. In addition, amyloid pathology was detected via CSF biomarkers, suggesting that ATP1A3 autoantibodies are a potentially promising biomarker in SCD with an Alzheimer´s pathologic change if confirmed in large-scale studies.

Cognitive decline in older adults with type 2 diabetes: Unraveling site-specific glycoproteomic alterations

Type 2 diabetes (T2D) is consistently related to an increased risk of cognitive decline and dementia. However, the molecular underpinnings of this association remain poorly understood. In this study, we applied a novel mass spectrometry-based glycoproteomic methodology to profile serum glycoproteins in older adults with T2D, aiming to identify glycopeptiforms associated with cognitive impairment. Our method allowed comprehensive profiling of N glycosylation in addition to the unique ability to profile glycation events on specific amino acid sites. Serum samples from initially cognitively normal older adults with T2D were collected, with participants classified as cognitive decliners (who developed impairment) and non-decliners (who maintained normal cognition over time). We identified significant differences in the abundance of glycopeptiforms between these groups, noting that certain glycopeptiforms exhibited unique changes over time in decliners. We identified 13 glycopeptiforms that exhibited significant differences between the groups both at baseline and in their rates of change over time. Pathway analysis indicated that glycation events were linked to metabolic pathways while glycosylation to immune-related pathways, aligning with established links between these processes and cognitive decline. This study offers new insights into glycoproteoform alterations in older adults with T2D experiencing cognitive decline. It highlights the potential of specific glycopeptiforms as biomarkers for early cognitive impairment in T2D. Further validation in larger cohorts will enhance our understanding of glycosylation and glycation in T2D and potentially lead to the discovery of novel treatment targets for T2D-related cognitive decline. Raw data and search are available via ProteomeXchange with identifier PXD050780.

Molecular mechanisms of lncRNA NEAT1 in the pathogenesis of liver-related diseases, with special focus on therapeutic approaches

Liver diseases are a major worldwide health concern, with high rates of dysfunction and mortality. In recent years, a variety of lncRNAs have been studied and discovered to be engaged in numerous cellular-level regulatory mechanisms as competing endogenous RNAs (ceRNAs), which play a significant role in the development of liver-related diseases. A class of RNA molecules known as lncRNAs, which are over 200 nucleotides long, do not translate into proteins. Nuclear Enriched Abundant Transcript 1 (NEAT1) is a type of lncRNA that has a critical function in paraspeckles formation and stability. NEAT1 levels are consistently found to be higher than normal in a number of different types of diseases, as well as patients who have high levels of NEAT1 expression often have a poor prognosis. The significance and mode of action of NEAT1 in liver illnesses, such as nonalcoholic fatty liver disease (NAFLD), alcohol-related liver disease (ALD), liver fibrosis/cirrhosis, hepatocellular carcinoma (HCC), viral hepatitis, and liver injury, are becoming more widely known. In this review, we highlighted significant recent studies concerning the various roles of lncRNA NEAT1 in hepatic diseases. As well as, we reviewed novel therapeutic potential of lncRNAs in several liver-related diseases.

Association between triglyceride-glucose related indicators, genetic risk, and incident breast cancer among postmenopausal women in UK Biobank

BACKGROUND

The potential links between triglyceride-glucose (TyG) related indicators and breast cancer incidence after menopause have been less well studied, and the joint associations between genetic risk, TyG related indicators, and breast cancer are unknown.

METHODS

Simple surrogate indicators of insulin resistance including TyG, TyG-waist circumference (TyG-WC), TyG-waist to height ratio (TyG-WHtR), TyG-waist to hip ratio (TyG-WHR), TyG-body mass index (TyG-BMI). Genetic susceptibility in breast cancer was estimated by categorizing polygenic risk scores (PRS). For estimating the associations, we used Cox proportional hazards regression modeling. Correlation shapes were evaluated using restricted cubic splines (RCS). Mediation analyses for assessing the role of sex hormone-binding globulin (SHBG), C-reactive protein (CRP), testosterone, and glycosylated hemoglobin (HbA1c) in mediating the associations were conducted.

RESULTS

The study included 83,873 UK biobank participants who were followed for a median of 13.8 years, with 3,561 new cases of postmenopausal breast cancer. Genetic risk and TyG related indicators were monotonically related to breast cancer, with additive but not multiplicative interactions between them. The highest quartiles of TyG, TyG-WC, TyG-WHtR, TyG-WHR, and TyG-BMI were significantly associated with increased breast cancer risk with hazard ratio (95% confidence interval) were 1.12 (1.01-1.25), 1.35 (1.23-1.49), 1.16 (1.05-1.28), 1.22(1.12-1.33), and 1.31 (1.19-1.44), respectively. TyG-WC was nonlinearly linked to breast cancer (P for nonlinear = 0.006). Individuals with high genetic risk and high TyG related indicators exhibited a substantially elevated breast cancer risk by 4- to 5-fold compared with reference group. The associations were mainly mediated by SHBG, CRP, and testosterone, with mediation proportions ranging from 10.24% to 68.29%.

CONCLUSIONS

TyG related factors are linked to incident postmenopausal breast cancer, and the combined effects with genetic risk significantly optimize risk stratification. High levels of TyG related indicators may amplify the influence of genetic factors on postmenopausal breast cancer.

TRIAL REGISTRATION

Not applicable.

Lysosome and plasma membrane Piezo channels of Trypanosoma cruzi are essential for proliferation, differentiation and infectivity

Trypanosoma cruzi, the causative agent of Chagas disease, is a parasitic protist that affects millions of people worldwide. Currently there are no fully effective drugs or vaccines available. Contact of T. cruzi infective forms with their host cells or with the extracellular matrix increases their intracellular Ca2+ concentration suggesting a mechano-transduction process. We report here that T. cruzi possesses two distinct mechanosensitive Piezo channels, named TcPiezo1 and TcPiezo2, with different subcellular localizations but similarly essential for normal proliferation, differentiation, and infectivity. While TcPiezo1 localizes to the plasma membrane, TcPiezo2 localizes to the lysosomes. Downregulation of TcPiezo1 expression by a novel ligand-regulated hammerhead ribozyme (HHR) significantly inhibited Ca2+ entry in cells expressing a genetically encoded Ca2+ indicator while downregulation of TcPiezo2 expression inhibited Ca2+ release from lysosomes, which are now identified as novel acidic Ca2+ stores in trypanosomes. The channels are activated by contact with extracellular matrix and by hypoosmotic stress. The results establish the essentiality of Piezo channels for the life cycle and Ca2+ homeostasis of T. cruzi and a novel lysosomal localization for a Piezo channel in eukaryotes.

Associated factors of oral frailty in older adults with long-term T2DM duration of more than 10 years

OBJECTIVE

To identify the factors that affect oral frailty in older adults with type 2 diabetes mellitus (T2DM) with long-term disease duration of more than 10 years.

METHODS

This cross-sectional study was conducted at a National Metabolic Center in China from October 2023 to March 2024. Participants with T2DM (aged ≥ 60 years and a disease duration > 10 years) underwent comprehensive dental examinations to assess functional natural teeth (FNT) counts and oral restoration behaviors. Oral frailty and cognitive function were assessed using the Oral Frailty Index-8 (OFI-8) and the Clock Drawing Test (CDT), respectively. Demographic and clinical data were extracted from the hospital information system. Univariate analysis and hierarchical multiple linear regressions were performed to identify associated factors of oral frailty.

RESULTS

Among 211 participants (mean age 71.22 ± 6.35 years, mean diabetes duration 20.95 ± 7.34 years), the mean OFI-8 score was 5.08 ± 2.29, with 74.4% scoring ≥ 4 (indicating oral frailty). The final regression model was statistically significant (F = 19.101, P < 0.001). In the regression model, a lower number of FNTs was significantly associated with higher oral frailty scores (β = -0.263, P < 0.001), whereas different oral restoration behaviors vary in the effect on oral frailty, fasting blood glucose (FBG) (β = 0.131, P = 0.014) and cognitive impairment (β = 0.255, P < 0.001) were positively associated with OFI-8 scores.

CONCLUSIONS

The study found that older adults with T2DM and a disease duration exceeding 10 years had a higher likelihood of exhibiting oral frailty. Individuals with fewer FNTs and those exhibiting cognitive impairment are the potential intervention targets to be concerned. Strict glycemic control and timely oral restoration are recommended to reduce oral frailty incidence in this population.

CLINICAL TRIAL NUMBER

Not applicable.

Protective effects of Salidroside against ferroptosis through PPARG-dependent mechanism in diabetes-related cognitive impairment

OBJECTIVE

This study focused on investigating the benefits and potential mechanism of Sal in Leptin gene knockout mice (db/db) and primary hippocampal neurons.

METHODS

In the current investigation, male db/db mice were administered Sal via oral gavage. Cognitive functions and learning and memory capacities were assessed through the Morris Water Maze (MWM) tests, respectively. Nissl, Fluoro-Jade C (FJC) staining techniques were employed to gauge hippocampal neuronal damage. Transmission electron microscopy facilitated the observation of mitochondrial alterations within hippocampal neurons of db/db mice. We further quantified Fe2+ levels, oxidative stress, and lipid peroxidation both in vivo & vitro. Western blotting got utilized to ascertain the relative levels of GPX4, PPARG, Nrf2 protein expressions.

RESULTS

According to the study results, Sal supplement could dramatically relieve db/db mice' cognitive impairment and protect neurons, through the inhibition of oxidative stress and the reduction of neuronal ferroptosis. According to further research, Sal could achieve a direct binding with peroxisome proliferator-activated receptor gamma (PPARG) for promoting it to be expressed. When culturing hippocampus-derived primary neurons, adding PPARG antagonist GW9662 or Nrf2 antagonist ML385 could eliminate the effect of Sal.

CONCLUSION

Taken together, the study is the first one that demonstrates the effectiveness of Sal in improving the cognitive impairment deficits of db/db mice as well as its inhibitory effect on oxidative stress and neuronal ferroptosis via PPARG-dependent mechanism.

Structural-functional relevance of DNAJBs in protein aggregation and associated neurodegenerative diseases

DNAJ proteins, also known as HSP40s, are co-chaperones that regulate the multifunctionality of HSP70s in maintaining cellular protein homeostasis. The heterogeneous family of DNAJ co-chaperones is classified into three classes (A, B and C), where structural diversity within the class defines their specific functions. Among three classes, the DNAJB class of co-chaperones are associated with cellular compartment-specific protein folding, disaggregation and degradation of proteins and enables effective targeting of a broad spectrum of aggregation-prone substrate proteins. The structural divergence of DNAJBs is critical for regulating disaggregation and degradation functions through specific interactions with HSP70 and substrate proteins. While the role of DNAJBs in maintaining protein homeostasis is valuable in addressing protein aggregation in neurodegenerative diseases, a limited understanding of their mechanisms and cellular functions beyond co-chaperones restricts their therapeutic applications. In this review, the mechanism of DNAJBs regulating aggregation of pathogenic proteins such as α-synuclein, tau, amyloid-β, and huntingtin are discussed. Emphasis on the selectivity of DNAJBs towards folding, disaggregation and degradation functions of HSP70, substrate selection and involvement of different structural regions are explained to provide a structural and functional understanding of DNAJB proteins. Mutations in different DNAJBs linked with several proteins aggregation-related neuronal and neuromuscular diseases are discussed. The fundamental understanding of DNAJB diversity and functionality can assist future interventions for regulating protein homeostasis and managing associated diseases.

Differential DNA methylation 7 months after SARS-CoV-2 infection

BACKGROUND

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), and SARS-CoV-2 has been linked to changes in DNA methylation (DNAm) patterns. Studies focused on post-SARS-CoV-2 infection and DNAm have been mainly carried out among severe COVID-19 cases or without distinguishing the severity of cases. However, investigations into mild and asymptomatic cases after SARS-CoV-2 infection are limited. In this study, we analyzed DNAm patterns of mild and asymptomatic cases seven months after SARS-CoV-2 infection in a household setting by conducting epigenome-wide association studies (EWAS).

RESULTS

We identified DNAm changes at 42 CpG sites associated with anti-SARS-CoV-2 antibody levels. We additionally report EWAS between COVID-19 cases and controls, with the case status being confirmed by either an antibody test or a PCR test. The EWAS with an antibody test case definition identified 172 CpG sites to be differentially methylated, while the EWAS with a PCR test case definition identified 502 CpG sites. Two common sites, namely cg17126990 (annotated to AFAP1L2) and cg25483596 (annotated to PC), were identified to be hypermethylated across the three EWAS. Both CpG sites have been reported to be involved in molecular pathways after SARS-CoV-2 infection. While AFAP1L2 has been found to be upregulated after SARS-CoV-2 infection, the pyruvate carboxylase (PC) activity seems to be affected by SARS-CoV-2 infection resulting in changes to the host cell metabolism. Additionally, an EWAS to assess persistent health restrictions among PCR-confirmed cases showed 40 CpG sites to be differentially methylated.

CONCLUSIONS

We detected associations between DNAm in individuals who had asymptomatic and mild SARS-CoV-2 infections as compared to their household controls. These findings contribute to our understanding of the molecular consequences of SARS-CoV-2 infection observed months after infection.

Unraveling lipopolysaccharide-induced behavioral and molecular effects in Lymnaea stagnalis, an emerging model organism for translational neuroscience

In this study, we employed a reductionist (yet not simplistic) approach utilizing the established invertebrate model system of the pond snail, Lymnaea stagnalis, to investigate the behavioral and molecular effects of systemic administration of lipopolysaccharide (LPS)-a bacterial endotoxin-on the snails' central ring ganglia. Snails received injections of either a low dose (2.5 μg) or a high dose (25 μg) of LPS, and their behavioral and molecular responses were assessed at 2, 6, and 24 h post-injection. With the high dose, snails exhibited a significant increase in homeostatic aerial respiration lasting for at least 24 h, consistent with a sickness-like state induced by the immune challenge. Additionally, we found that when administered 2, 6, or 24 h before operant conditioning training, the high dose of LPS, impaired memory formation. To further explore the underlying molecular mechanisms, we examined the transcriptional effects of the two doses of LPS in the snails' central ring ganglia. Our analysis showed a dose- and time-dependent upregulation of immune and stress-related genes, including key enzymes involved in the kynurenine pathway (KP), toll-like receptor 4 (TLR4), and heat shock protein 70 (HSP70). Metabolomic analysis suggested that the high LPS dose shifted KP metabolism toward the production of neurotoxic metabolites within the ganglia, indicating a LPS-induced neuroinflammatory state. Together, our findings provide valuable insight into the conserved mechanisms of neuroinflammation in this invertebrate model, offering a simplified yet effective tool to further explore the molecular interactions between the immune and central nervous systems.

Endogenous Metabolites in Metabolic Diseases: Pathophysiologic Roles and Therapeutic Implications

Breakthroughs in metabolomics technology have revealed the direct regulatory role of metabolites in physiology and disease. Recent data have highlighted the bioactive metabolites involved in the etiology and prevention and treatment of metabolic diseases such as obesity, nonalcoholic fatty liver disease, type 2 diabetes mellitus, and atherosclerosis. Numerous studies reveal that endogenous metabolites biosynthesized by host organisms or gut microflora regulate metabolic responses and disorders. Lipids, amino acids, and bile acids, as endogenous metabolic modulators, regulate energy metabolism, insulin sensitivity, and immune response through multiple pathways, such as insulin signaling cascade, chemical modifications, and metabolite-macromolecule interactions. Furthermore, the gut microbial metabolites short-chain fatty acids, as signaling regulators have a variety of beneficial impacts in regulating energy metabolic homeostasis. In this review, we will summarize information about the roles of bioactive metabolites in the pathogenesis of many metabolic diseases. Furthermore, we discuss the potential value of metabolites in the promising preventive and therapeutic perspectives of human metabolic diseases.

Advances in Metabolomics: A Comprehensive Review of Type 2 Diabetes and Cardiovascular Disease Interactions

Type 2 diabetes (T2D) and cardiovascular diseases (CVDs) are major public health challenges worldwide. Metabolomics, the exhaustive assessment of metabolites in biological systems, offers important insights regarding the metabolic disturbances related to these disorders. Recent advances toward the integration of metabolomics into clinical practice to facilitate the discovery of novel biomarkers that can improve the diagnosis, prognosis, and treatment of T2D and CVDs are discussed in this review. Metabolomics offers the potential to characterize the key metabolic alterations associated with disease pathophysiology and treatment. T2D is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms; therefore, the disease-causing pathways of T2D are not completely understood. Recent studies have identified several robust clusters of T2D variants representing biologically meaningful, distinct pathways, such as the beta cell and proinsulin cluster related to pancreatic insulin secretion, obesity, lipodystrophy, the liver/lipid cluster, glycemia, and blood pressure, and metabolic syndrome clusters representing different pathways causing insulin resistance. Regarding CVDs, recent studies have allowed the metabolomic profile to delineate pathways that contribute to atherosclerosis and heart failure, as well as to the development of targeted therapy. This review also covers the role of metabolomics in integrated metabolic genomics and other omics platforms to better understand disease mechanisms, along with the transition toward precision medicine. This review further investigates the use of metabolomics in multi-metabolite modeling to enhance risk prediction models for predicting the first occurrence of major adverse cardiovascular events among individuals with T2D, highlighting the value of such approaches in optimizing the preventive and therapeutic models used in clinical practice.

Investigating metabolic characteristics of type 2 diabetes mellitus-related cognitive dysfunction and correlating therapeutic effects of Di Dang Tang in animal models

ETHNOPHARMACOLOGICAL RELEVANCE

Di Dang Tang is a classic formula from Shang Han Lun, originally used to treat conditions such as blood stasis and heat accumulation. It is widely applied in the treatment of diabetes and its complications, but its effects on Type 2 Diabetes Mellitus-related Cognitive Dysfunction (T2DM-CD) remain unclear.

AIM OF THE STUDY

The study aimed to investigate the metabolic characteristics of patients with T2DM-CD. Additionally, it sought to evaluate the effects of Di Dang Tang on cognitive function in T2DM-CD model rats by targeting the metabolic pathways identified in the clinical analysis, exploring the underlying mechanisms through animal experiments.

METHODS

Fasting venous serum was collected from patients with Type 2 Diabetes Mellitus (T2DM) to detect metabolism-related products, and KEGG annotation analysis was performed. Separately, thirty rats were randomly divided using a random number table method, with six rats selected as the blank control group. Twenty-four successfully modeled rats were then randomly divided into the model group and three Di Dang Tang groups (low, medium, and high doses). After administering the medication, the relevant indicators in the rats were assessed.

RESULTS

Clinical metabolomics detected 32 key differential metabolites between the T2DM-CD and the blank control groups. Between the T2DM-CD and T2DM groups, 29 key differential metabolites were identified. In animal experiments, blood glucose levels in the model group were significantly higher compared to the blank control group at the same time points, whereas the high dose groups of Di Dang Tang exhibited reduced blood glucose levels at weeks 6 and 8 relative to the model group. In the Morris water maze test, the model group had longer escape latencies than the blank control group. The medium and high dose groups of Di Dang Tang showed shorter latencies. Additionally, compared to the model group, the Di Dang Tang groups spent more time and covered more distance in the target quadrant but had reduced average proximity and fewer platform entries. HE staining observation of the hippocampal CA1 area showed no apparent pathological changes in the blank group, obvious pathological damage in the model group, and no significant pathological changes in the medium and high dose groups of Di Dang Tang. Compared to the blank control group, the model group showed significant increases in the levels of Arachidonic Acid (AA), Ceramide (Cer), Glutamate (Glu), TNF- α, IL-1β, TG, and LDL-C, and a significant decrease in HDL-C levels. Compared to the model group, the groups of Di Dang Tang significantly modulated the levels of the above indicators. In Western Blot (WB) assays, compared to the blank control group, the model group rats exhibited significantly higher levels of cPLA2, PKC, ERK, and JNK , and significantly lower levels of claudin-5, NMDA, CaMKII, CREB, and BDNF. The Di Dang Tang groups significantly altered the levels of the above indicators compared to the model group.

CONCLUSION

Amino acid metabolism, sphingolipid signaling pathways, glycerophospholipid metabolism, and various signaling pathways play significant roles in the pathogenesis of T2DM-CD. Di Dang Tang can improve learning and memory abilities in T2DM model rats and ameliorate cognitive impairments, potentially by regulating metabolic levels and inflammatory responses.

Profiling the expression and functional roles of mRNAs and lncRNAs associated with post-stroke aphasia

Objective

Post-stroke aphasia (PSA) is one of the primary causes of post-stroke impairment, although its underlying mechanism is unknown; therefore, this study aimed to identify the long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) linked to PSA and to understand the potential processes by which they may operate.

Methods

RNA sequencing was used to determine the lncRNA and mRNA expression profiles for PSA patients and healthy control peripheral blood mononuclear cells. This allowed for the discovery of lncRNAs and differentially expressed genes (DElncRNAs and DEGs). Gene Ontology (GO) and KEGG enrichment analyses were performed on these DElncRNAs and DEGs, and qPCR was used to confirm their expression. Furthermore, any correlations between these characteristics with differential expression and the language routines of PSA patients were evaluated.

Results

In total, comparisons of the groups yielded 577 DElncRNAs and 892 DEGs. Functional enrichment analyses of these targets demonstrated the strong enrichment of co-expressed DElncRNAs and DEGs in immune system processes and the inflammatory response. The expression levels of the lncRNAs CTD-2545M3.2 and RP11-24N18.1 and the mRNAs RPS10 and LAIR2 were similarly highly connected with verbal conduct in PSA patients upon admission.

Conclusion

The results highlight the lncRNA and mRNA profiles linked to PSA, demonstrating the various methods via which these DElncRNAs and DEGs may influence this clinical setting.

HEATR3 recognizes membrane rupture and facilitates xenophagy in response to Salmonella invasion

Bacterial invasion into the cytoplasm of epithelial cells triggers the activation of the cellular autophagic machinery as a defense mechanism, a process known as xenophagy. In this study, we identified HEATR3, an LC3-interacting region (LIR)-containing protein, as a factor involved in this defense mechanism using quantitative mass spectrometry analysis. HEATR3 localizes intracellularly invading Salmonella, and HEATR3 deficiency promotes Salmonella proliferation in the cytoplasm. HEATR3 also localizes to lysosomes damaged by chemical treatment, suggesting that Salmonella recognition is facilitated by damage to the host cell membrane. HEATR3 deficiency impairs LC3 recruitment to damaged membranes and blocks the delivery of the target to the lysosome. These phenotypes were rescued by exogenous expression of wild-type HEATR3 but not by the LIR mutant, indicating the crucial role of the HEATR3-LC3 interaction in the receptor for selective autophagy. HEATR3 is delivered to lysosomes in an autophagy-dependent manner. Although HEATR3 recruitment to the damaged membrane was unaffected by ATG5 or FIP200 deficiency, it was markedly impaired by treatment with a calcium chelator, suggesting involvement upstream of the autophagic pathway. These findings suggest that HEATR3 serves as a receptor for selective autophagy and is able to identify damaged membranes, facilitate the removal of damaged lysosomes, and target invading bacteria within cells.

Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health

Previous research has established type 2 diabetes mellitus as a significant risk factor for various disorders, adversely impacting human health. While evidence increasingly links type 2 diabetes to cognitive impairment and brain disorders, understanding the causal effects of its preclinical stage on brain health is yet to be fully known. This knowledge gap hinders advancements in screening and preventing neurological and psychiatric diseases. To address this gap, we employed a robust machine learning algorithm (Subtype and Stage Inference, SuStaIn) with cross-sectional clinical data from the UK Biobank (20 277 preclinical type 2 diabetes participants and 20 277 controls) to identify underlying subtypes and stages for preclinical type 2 diabetes. Our analysis revealed one subtype distinguished by elevated circulating leptin levels and decreased leptin receptor levels, coupled with increased body mass index, diminished lipid metabolism, and heightened susceptibility to psychiatric conditions such as anxiety disorder, depression disorder, and bipolar disorder. Conversely, individuals in the second subtype manifested typical abnormalities in glucose metabolism, including rising glucose and haemoglobin A1c levels, with observed correlations with neurodegenerative disorders. A >10-year follow-up of these individuals revealed differential declines in brain health and significant clinical outcome disparities between subtypes. The first subtype exhibited faster progression and higher risk for psychiatric conditions, while the second subtype was associated with more severe progression of Alzheimer's disease and Parkinson's disease and faster progression to type 2 diabetes. Our findings highlight that monitoring and addressing the brain health needs of individuals in the preclinical stage of type 2 diabetes is imperative.

Skeletal and dental tissue mineralization: The potential role of the endoplasmic reticulum/Golgi complex and the endolysosomal and autophagic transport systems

This paper presents a review of the potential role of the endoplasmic reticulum/Golgi complex and intracellular vesicles in mediating events leading to or associated with vertebrate tissue mineralization. The possible importance of these organelles in this process is suggested by observations that calcium ions accumulate in the tubules and lacunae of the endoplasmic reticulum and Golgi. Similar levels of calcium ions (approaching millimolar) are present in vesicles derived from endosomes, lysosomes and autophagosomes. The cellular level of phosphate ions in these organelles is also high (millimolar). While the source of these ions for mineral formation has not been identified, there are sound reasons for considering that they may be liberated from mitochondria during the utilization of ATP for anabolic purposes, perhaps linked to matrix synthesis. Published studies indicate that calcium and phosphate ions or their clusters contained as cargo within the intracellular organelles noted above lead to formation of extracellular mineral. The mineral sequestered in mitochondria has been documented as an amorphous calcium phosphate. The ion-, ion cluster- or mineral-containing vesicles exit the cell in plasma membrane blebs, secretory lysosomes or possibly intraluminal vesicles. Such a cell-regulated process provides a means for the rapid transport of ions or mineral particles to the mineralization front of skeletal and dental tissues. Within the extracellular matrix, the ions or mineral may associate to form larger aggregates and potential mineral nuclei, and they may bind to collagen and other proteins. How cells of hard tissues perform their housekeeping and other biosynthetic functions while transporting the very large volumes of ions required for mineralization of the extracellular matrix is far from clear. Addressing this and related questions raised in this review suggests guidelines for further investigations of the intracellular processes promoting the mineralization of the skeletal and dental tissues.

Mechanoreceptor Piezo1 channel-mediated interleukin expression in conjunctival epithelial cells: Linking mechanical stress to ocular inflammation

PURPOSE

Mechanical stress on the ocular surface, such as from eye-rubbing, has been reported to lead to inflammation and various ocular conditions. We hypothesized that the mechanosensitive Piezo1 channel in the conjunctival epithelium contributes to the inflammatory response at the ocular surface after receiving mechanical stimuli.

METHODS

Human conjunctival epithelial cells (HConjECs) were treated with Yoda1, a Piezo1-specific agonist, and various allergens to measure cytokine expression levels using qRT-PCR. Piezo1 activation-induced intracellular signaling pathways were also investigated by Western blot. Mechanical stretching experiments were conducted to simulate Piezo1 activation in HConjECs. Specificity of Piezo1 was confirmed by PIEZO1 knockdown and GsMTx4. In in vivo studies, using immunohistochemistry, rats were administered Yoda1 eye drops to examine the inflammatory response in the conjunctiva and Piezo1-induced signaling activation.

RESULTS

HConjECs expressed functional Piezo1 channel which was the dominant mechanoreceptor among putative channels and whose activation significantly increased IL-6 and IL-8 expression through the p38 MAPK-CREB pathway. Piezo1-induced [Ca2+]i elevation was crucial for the production of IL-6. The Yoda1-induced inflammatory responses were blocked by PIEZO1 knockdown. Mechanical stretching mimicked these effects, which were suppressed by GsMTx4. In vivo, Yoda1 administration led to increased phospho-p38 MAPK, phospho-CREB, and IL-6 in the rat conjunctival epithelium, with significant neutrophil infiltration.

CONCLUSION

Mechanical stress-induced Piezo1 channel activation in conjunctival epithelial cells can cause ocular inflammation by upregulating pro-inflammatory cytokines via the p38 MAPK-CREB pathway and promoting neutrophil infiltration. These findings suggest that mechanical stimuli on ocular surface tissues are significant risk factors for ocular inflammation.

Study on the Mechanism of Raspberry (Rubi fructus) in Treating Type 2 Diabetes Based on UPLC-Q-Exactive Orbitrap MS, Network Pharmacology, and Experimental Validation

AIM

The aim of this study is to analyze the chemical composition of raspberry using liquid chromatography-mass spectrometry (LC-MS) technology, predict the potential effects of raspberry in treating type 2 diabetes through network pharmacology, and conduct preliminary validation through in vitro experiments.

METHODS

A Waters CORTECS C18 column (3.0 mm × 100 mm, 2.7 μm) was used; mobile phase A consisted of 0.1% formic acid in water and mobile phase B consisted of 0.1% formic acid in acetonitrile. Gradient elution was performed with full-scan mode in both positive and negative ion modes, covering a mass range of m/z 100-1500. The chemical components of raspberry were analyzed and identified based on secondary spectra from databases and relevant literature. The disease targets related to type 2 diabetes were searched, and protein-protein interaction network analysis as well as gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were conducted on the intersecting targets of the active components of raspberry and the disease. HepG2 cells were used for experimental validation, with high glucose-induced insulin resistance models established. The CCK-8 method was employed to assess the effects of raspberry on cell proliferation, while Western blotting was used to measure the expression of proteins related to the AGE/RAGE signaling pathway.

RESULTS

A total of 47 components were identified, including 10 organic acids, 15 flavonoids, 12 phenols, 2 alkaloids, 4 terpenoids, 1 miscellaneous compound, 1 stilbene, 1 steroid and its derivatives, and 1 diterpenoid. Through database screening, seven active components were identified: kaempferol, epicatechin, ellagic acid, crocetin, stigmasterol, fisetin, and isorhamnetin. KEGG and GO results indicated that the therapeutic effects of raspberry on type 2 diabetes may be related to the advanced glycation end product (AGE)- receptor for advanced glycation end product (RAGE) signaling pathway. Establishment of an insulin resistance model in HepG2 cells demonstrated that, compared to the control group, the raspberry treatment group upregulated p53 protein expression while downregulating the expression of RAGE, Akt1, and Caspase-3 proteins.

CONCLUSION

This study preliminarily elucidates that the therapeutic effects of raspberry in treating type 2 diabetes may be mediated through the inhibition of the AGE-RAGE signaling pathway, providing important references for the study of the pharmacological basis and clinical application of raspberry.

Dual-Gating Strategy: Ultrasound Activation of TRPV2 Channels and Borate-Glass-Induced Calcium Overload for Tumor Suppression

Effective and precise treatment of breast cancer, particularly with bone metastasis, remains a significant challenge. Here, a dual-gating strategy combining locally delivered borate glass (BG) and ultrasound (US) is developed for the precise and effective inhibition of breast cancer by targeting transient receptor potential vanilloid 2 (TRPV2). The results demonstrate that after local delivery of BG to the solid tumor, US effectively triggers calcium overload by activating the overexpressed TRPV2 channels, leading to mitochondrial autophagy and apoptosis in breast cancer cells, thereby inhibiting tumor growth with high precision. These effects are validated in subcutaneous, orthotopic, and TRPV2-overexpressing breast cancer mouse models. In the bone metastasis model, BG combined with US treatment simultaneously suppresses tumor growth and promotes bone regeneration. Overall, this dual-gating strategy offers a safe and efficient approach for the precise treatment of cancers with high TRPV2 expression and provides new insights into the design and clinical translation of calcium-overload-based cancer therapies.

Risk Factors, Pathological Changes, and Potential Treatment of Diabetes-Associated Cognitive Dysfunction

BACKGROUND

Diabetes is a prevalent public health issue worldwide, and the cognitive dysfunction and subsequent dementia caused by it seriously affect the quality of life of patients.

METHODS

Recent studies were reviewed to provide a comprehensive summary of the risk factors, pathogenesis, pathological changes and potential drug treatments for diabetes-related cognitive dysfunction (DACD).

RESULTS

Several risk factors contribute to DACD, including hyperglycemia, hypoglycemia, blood sugar fluctuations, hyperinsulinemia, aging, and others. Among them, modifiable risk factors for DACD include blood glucose control, physical activity, diet, smoking, and hypertension management, while non-modifiable risk factors include age, genetic predisposition, sex, and duration of diabetes. At the present, the pathogenesis of DACD mainly includes insulin resistance, neuroinflammation, vascular disorders, oxidative stress, and neurotransmitter disorders.

CONCLUSIONS

In this review, we provide a comprehensive summary of the risk factors, pathogenesis, pathological changes and potential drug treatments for DACD, providing information from multiple perspectives for its prevention and management.

Cracking the code: lncRNA-miRNA-mRNA integrated network analysis unveiling lncRNAs as promising non-invasive NAFLD biomarkers toward precision diagnosis

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) involves abnormal fat accumulation in the liver, mainly as triglycerides. It ranges from steatosis to non-alcoholic steatohepatitis (NASH), which can lead to inflammation, cellular damage, liver fibrosis, cirrhosis, or hepatocellular carcinoma (HCC). Long non-coding RNAs (lncRNAs) are crucial for regulating gene expression across various conditions. LncRNAs are emerging as potential putative diagnostic markers for NAFLD-associated HCC.

METHODS

We used two human and two mouse datasets from the Gene Expression Omnibus to analyze the expression profiles of mRNAs and lncRNAs. We created a network linking lncRNAs, miRNAs, and mRNAs to investigate the relationships among these RNA types. Additionally, we identified NAFLD-related lncRNAs from existing literature. We then quantified the expression levels of four specific lncRNAs, including PVT1, DUBR, SNHG17, and SNHG14, in the serum of 92 Egyptian participants using qPCR. Finally, we performed a Receiver Operating Characteristic analysis to evaluate the diagnostic potential of the candidate lncRNAs.

RESULTS

Our data suggests that maternally expressed gene 3 (MEG3), H19, and DPPA2 Upstream Binding RNA (DUBR) were significantly upregulated, and plasmacytoma variant translocation 1 (PVT1) was markedly downregulated. PVT1 showed the highest diagnostic accuracy for both NAFLD and NASH. The combined panels of PVT1 +H19 for NAFLD and PVT1 +H19 +DUBR for NASH demonstrated high diagnostic potential. Uniquely, PVT1 can distinguish between NAFLD and NASH. PVT1 exhibited strong diagnostic potential for NAFLD and NASH, individually and in combination with other lncRNAs.

CONCLUSION

Our study identifies four lncRNAs as putative biomarkers with high specificity and accuracy, individually or combined, for differentiating between NAFLD and NASH. Healthy volunteers with PVT1 possess the highest diagnostic accuracy and significantly discriminate between NAFLD and NASH.

Identification and Exploration of Immunity-Related Genes and Natural Products for Alzheimer's Disease Based on Bioinformatics, Molecular Docking, and Molecular Dynamics

BACKGROUND

Recent research highlights the immune system's role in AD pathogenesis and promising prospects of natural compounds in treatment. This study explores immunity-related biomarkers and potential natural products using bioinformatics, machine learning, molecular docking, and kinetic simulation.

METHODS

Differentially expressed genes (DEGs) in AD were analyzed using GSE5281 and GSE132903 datasets. Important AD module genes were identified using a weighted co-expression algorithm (WGCNA), and immune-related genes (IRGs) were obtained from the ImmPortPortal database. Intersecting these genes yielded important IRGs. Then, the least absolute shrinkage and selection operator (LASSO) and other methods screened common immune-related AD markers. Biological pathways were explored through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). The accuracy of these markers was assessed by subject operator signature (ROC) curves and validated in the GSE122063 dataset. The datasets was then subjected to immunoinfiltration analysis. Multiple compound databases were used to analyze core Chinese medicines and components. Molecular docking and kinetic simulation verification were used for further verification.

RESULTS

A total of 1360 differential genes and 5 biomarkers (PGF, GFAP, GPI, SST, NFKBIA) were identified, showing excellent diagnostic efficiency. GSEA revealed markers associated with Oxidative phosphorylation, Nicotine addiction, and Hippo signaling pathway. Immune infiltration analysis showed dysregulation in multiple immune cell types in AD brains, with significant interactions between markers and 5 immune cell types. A total of 27 possible herbs and 7 core compounds were eventually identified. The binding environment of GPI-luteolin and GPI-stigasterol was relatively stable and showed good affinity.

CONCLUSIONS

PGF, GFAP, SST, GPI, and NFKBIA were identified for early AD diagnosis, associated with immune cells and pathways in AD brains. 7 promising natural compounds, including luteolin and stigmasterol, were screened for targeting these biomarkers.

Unveiling NLR pathway signatures: EP300 and CPN60 markers integrated with clinical data and machine learning for precision NASH diagnosis

BACKGROUND

Given the increasing prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) and non-alcoholic steatohepatitis (NASH), there is a critical need for accurate non-invasive early diagnostic markers.

OBJECTIVE

This study aimed to validate NLRP3-related RNA signatures (EP300, CPN60, and ITGB1 mRNAs, miR-6881-5p, and LncRNA-RABGAP1L-DT-206) using an integrated molecular approach and advanced machine-learning algorithms to identify robust biomarkers for early diagnosis of NASH.

METHODS

A cohort of 237 participants (117 Healthy controls, 60 MAFLD, 120 NASH) was utilized. Twenty-five demographic, clinical, and molecular features were collected from each participant. Various machine learning models were trained on the dataset.

RESULTS

The Random Forest algorithm emerged as the most effective classifier. The model identified nine key features: EP300 mRNA, CPN60 mRNA, AST, D. bilirubin, Albumin, GGT, HbA1c, HOMA-IR, and BMI, achieving an impressive 97 % accuracy in distinguishing NASH from non-NASH cases.

CONCLUSION

The integration of molecular, clinical, and demographic data with machine learning algorithms provides a highly accurate method for the early diagnosis of NASH. This model holds promise for early detection in individuals at risk of progressing to cirrhosis or liver cancer and may aid in identifying new therapeutic targets for managing NASH.

Circulating PIWI-interacting RNAs in Acute Ischemic Stroke patients

Background

Stroke refers to an abrupt neurological deficit, caused by an acute focal injury of the central nervous system via infarction or hemorrhage due to impaired vascularity, and remains among the leading causes of disability and death worldwide. Stroke is often preceded by an episode of neuronal deficit termed transient ischemic attack (TIA), which presents an effective opportunity for mitigating the risk of an eminent acute ischemic stroke (AIS). Circulating non-coding RNAs (ncRNAs) have emerged as important biomarkers for stroke, but PIWI-interacting RNAs (piRNAs), a class of small regulatory ncRNAs, have not been previously explored as diagnostic or prognostic biomarkers for stroke.

Methods

We conducted comprehensive circulating piRNA profiling of AIS and TIA patients using RNA-seq on serum samples collected within 24 h of clinical diagnosis. The study cohort was divided into discovery and cross-validation datasets to identify replicated piRNAs using stringent analysis cut-offs. The expression levels of the panel of differentially regulated piRNAs between AIS and TIA patients were also compared with healthy controls.

Results

We identified a panel of 10 differentially regulated piRNAs between AIS and TIA patients; hsa-piR-28272, -piR-32972, -piR-28247, -piR-24553, -piR-24552, -piR-28275, -piR-28707 and -piR-32882 were upregulated, while hsa-piR-23058 and -piR-23136 were downregulated in AIS patients. Moreover, these 10 piRNAs were also differentially expressed in AIS patients compared to healthy controls. In addition, we investigated the potential gene targets of the dysregulated piRNAs and their plausible involvement in pathophysiological processes affected in stroke.

Conclusions

The imbalances in the circulating piRnome of AIS and TIA patients presented herein provide important insights into the roles of piRNAs following ischemic brain injury and potentially provide opportunities to mitigate stroke-induced mortality and morbidity.

Update on autoimmune dementia and its precursors

Autoimmune dementia is a new disease entity increasingly coming into focus, and novel neural antibodies associated with dementia and its precursors have been described. However, the significance of these novel and emerging autoantibodies in conjunction with cognitive disorders is unclear. Antibodies such as Leucin-Rich, Glioma Inactivated 1 (LGI1) and N-Methyl-D-Aspartate Receptor (NMDAR) are already known to be pathogenic by triggering anomalies in synaptic plasticity and learning processes in animal models after having been transferred from humans to animals. In this review we describe various pathogenic mechanisms of antibodies such as complement dependent cytotoxicity, the internalization of membrane receptors, antagonistic effects, and alterations in vesicle endocytosis at the synaptic level. We also discuss established autoantibodies such as membrane-surface and intracellular antibodies in connection with cognitive disorders, as well as autoantibodies associated with neurodegenerative dementia, and autoimmune encephalitis with primary dementia syndrome. Test methods and the response to immunotherapy are also briefly explained. This overview provides a differentiated presentation of a heterogeneous dementia entity with its precursors, which requires more research to develop a differentiated treatment guideline.

Usefulness of the Córdoba Equation for Estimating Body Fat When Determining the Level of Risk of Developing Diabetes Type 2 or Prediabetes

Background and Objectives: Type 2 diabetes (T2D) and prediabetes represent major global health concerns, with obesity being a key risk factor. However, recent evidence suggests that the adipose tissue composition and distribution play a more critical role in metabolic dysfunction than the total body weight or body mass index (BMI). This study evaluates the predictive capacity of the Córdoba Equation for Estimating Body Fat (ECORE-BF) for identifying individuals at high risk of developing T2D and prediabetes. Materials and Methods: A cross-sectional study was carried out involving 418,343 Spanish workers. Body fat percentage was estimated using the ECORE-BF equation, and diabetes risk was assessed using validated predictive models, including the Finnish Diabetes Risk Score (FINDRISC), QDiabetes score (QD-score), and others. The discriminatory power of ECORE-BF in predicting T2D and prediabetes was assessed using receiver operating characteristic (ROC) curve analysis. Results: ECORE-BF showed a strong correlation with high-risk classifications across all diabetes risk scales. The area under the ROC curve (AUC) exceeded 0.95 for both men and women, demonstrating high predictive accuracy. Conclusions: Adipose tissue distribution, particularly visceral adiposity, is a central factor in metabolic dysfunction. ECORE-BF provides a cost-effective alternative for large-scale T2D and prediabetes risk assessment. Future research should explore the impact of visceral adipose tissue reduction on diabetes prevention and the integration of estimation scales into clinical and public health strategies.

Serum ferritin associated with atherogenic lipid profiles in a high-altitude living general population

Background

Serum ferritin (SF) levels are associated with metabolic syndrome and dyslipidemia. However, the association between SF and atherogenic lipid profiles in high-altitude living populations remains unclear.

Methods

In 2021, a cross-sectional study was conducted on adult Tajik individuals residing in Tashkurgan Tajik Autonomous County (average altitude 3,100 meters). Demographic information and anthropometric measurements were collected in local clinics. Fasting blood samples were analyzed using a Beckman AU-680 Automatic Biochemical analyzer at the biochemical laboratory of Fuwai Hospital. Univariate linear regression analyses were used to explore the association between SF and atherogenic lipid levels. Subgroup analysis was used based on gender and different high-sensitivity C-reactive protein (hs-CRP) and serum amyloid A (SAA) levels. The association between higher SF quartiles and different kinds of dyslipidemia were analyzed by logistic regression.

Results

There were 1,703 participants in total, among which 866 (50.9%) being men. The mean ages of male and female participants were similar (41.50 vs. 42.38 years; P = 0.224). SF levels were significantly correlated with total cholesterol (TC) (Beta = 0.225, P < 0.001), low-density lipoprotein cholesterol (LDL-C) (Beta = 0.197, P < 0.001), high-density lipoprotein cholesterol (HDL-C) (Beta = -0.218, P < 0.001), triglycerides (TG) (Beta = 0.332, P < 0.001), and small dense LDL-C (sdLDL-C) (Beta = 0.316, P < 0.001), with the exception of lipoprotein (a) (Lp(a)) (Beta = 0.018, P = 0.475). SF was significantly correlated with LDL-C and HDL-C in women, and correlated with TC, TG, and sdLDL-C levels in both men and women in different inflammatory conditions. Elevated SF levels was significantly correlated with high TC (OR: 1.413, 95% CI [1.010-1.978]), high TG (OR: 1.602, 95% CI [1.299-1.976]), and high sdLDL-C (OR: 1.631, 95% CI [1.370-1.942]) in men and high TC (OR: 1.461, 95% CI [1.061-2.014]), high LDL-C (OR: 2.104, 95% CI [1.481-2.990]), low HDL-C (OR: 1.447, 95% CI [1.195-1.752]), high TG (OR: 2.106, 95% CI [1.454-3.050]), and high sdLDL-C (OR: 2.000, 95% CI [1.589-2.516]) in women. After adjusting for potential confounders, elevated SF levels continue to be correlated with high TG in male (OR: 1.382, 95% CI [1.100-1.737]) and female (OR: 1.677, 95% CI [1.070-2.628]) participants. In both young and middle-aged subgroups, the associations between SF and TG, TC, HDL-C, LDL-C, and sdLDL-C were still significant.

Conclusions

SF was closely related to atherogenic lipid profiles, especially with regard to TG in high-altitude populations. This association cannot be attributed to its role as an inflammation marker.

Cellulase enhancing rumen microbiome of Tan sheep indicates plastic responses to seasonal variations of diet in the typical steppe

BACKGROUND

Climate and geographical changes significantly influence food availability and nutrient composition over time and space, Which in turn affects the selection of microbial communities essential for maintaining gastrointestinal homeostasis and facilitating dietary adaptation. Therefore, it is essential to understand the specific responses of the gut microbiota to dietary and seasonal variations in order to improve animal conservation strategies based on solid scientific knowledge.

RESULTS

In summer, due to the higher nutritional quality of forage, Tan sheep exhibited enhanced forage degradation and fermentation. This was reflected by increased populations of key rumen bacteria, including Bacteroidetes, Prevotella_1, Prevotellaceae_UCG-003, Ruminococcus_1, Saccharofermentans, and Ruminococcaceae_UCG-014. Supplementation with cellulase further facilitated these processes, optimizing the utilization of available nutrients. In contrast, during winter, when the nutritional quality of forage decline, we observed lower indicators of forage degradation and fermentation in Tan sheep. Additionally, there was a significant increase in the Firmicutes/Bacteroidetes ratio, microbial diversity, microbial interactions, and metabolic activity.

CONCLUSIONS

The rumen microbiota adapts to enhance the breakdown of forage biomass and maintain energy balance during periods of inadequate nutritional value. Supplementing the diet with cellulase during these times can help mitigate the reduced digestibility associated with low-quality forage. This study highlights the dynamic adaptation of the rumen microbiota to seasonal variations in forage quality and emphasizes the potential benefits of cellulase supplementation in supporting rumen function and improving animal performance under varying environmental conditions.

Decoding metabolic connections: the role of salivary amylase activity in modulating visceral fat and triglyceride glucose index

BACKGROUND

Salivary amylase activity (SAA) is recognized as a potential biomarker for metabolic health. Previous studies suggest an association between SAA and insulin sensitivity, but the mechanisms remain unclear. This study investigates the relationship between SAA, visceral fat (VF), and the triglyceride-glucose (TyG) index to clarify the pathways linking SAA to metabolic risk factors.

METHODS

This cross-sectional study analysed data from women of reproductive age who were classified as overweight. Linear regression models were used to assess associations between salivary amylase activity (SAA), visceral fat (VF) and the triglyceride-glucose (TyG) index, while adjusting for confounding variables such as age, body mass index (BMI), physical activity and dietary patterns. Mediation analysis was conducted to determine whether VF mediates the relationship between SAA and the TyG index.

RESULTS

Higher SAA was inversely associated with VF (β = -0.45, 95% CI: -0.65 to -0.25, p < 0.001). No direct association was observed between SAA and TyG index (β = -0.10, 95% CI: -0.25 to 0.05, p = 0.18) after adjustment for covariates. Mediation analysis revealed that visceral fat significantly mediated the relationship between SAA and the TyG index. The indirect effect of SAA on the TyG index through VF (A × B) was statistically significant (β = -0.16, 95% CI: -0.26 to -0.08), accounting for 45% of the total effect.

CONCLUSIONS

These findings suggest that higher SAA may confer metabolic benefits by reducing VF, thereby indirectly influencing the TyG index. This highlights the critical role of VF in mediating the protective effects of SAA on metabolic health and provides insights into potential pathways for intervention.

ER calcium stores contribute to glucose-induced Ca2+ waves and intercellular connectivity in mouse pancreatic islets

Defective insulin secretion is a hallmark of diabetes mellitus. Glucose-induced Ca2+ oscillations are critical for the stimulation of insulin secretion, though the mechanisms through which these propagate across the islet are poorly understood. Here, we use beta cell-targeted GCaMP6f to explore the role of endoplasmic reticulum (ER) Ca2+ mobilization in response to submaximal (11mM) and hyperglycemic (25mM) glucose concentrations. Inhibition of inositol 1,4,5 trisphosphate (IP3) receptors, and other ion channels, with 2-aminoethoxydiphenyl borate (2-APB) had minimal effects on the initial peak or intercellular connectivity provoked by 11mM glucose. However, 2-APB lowered subsequent glucose-induced cytosolic Ca2+ increases and connectivity at both 11 and 25mM glucose. Unexpectedly, the activation of IP3 receptors with the muscarinic acetylcholine receptor agonist carbachol had minimal impact on the initial peak elicited by 11 mM glucose, but Ca2+ waves at 11 and 25 mM glucose were more poorly coordinated. To determine whether ER calcium mobilization was sufficient to initiate Ca2+ waves we next blocked sarco(endo)plasmic Ca2+ ATPase (SERCA) pumps with thapsigargin, whilst preventing plasma membrane depolarization with the KATP-channel opener, diazoxide. Under these conditions, an initial cytosolic Ca2+ increase was followed by secondary Ca2+ waves that slowly subsided. The application of carbachol alongside diazoxide still enhanced Ca2+ dynamics, though this activity was uncoordinated and beta cells were poorly connected. Our results show that ER Ca2+ mobilization plays a relatively minor role in the initiation and propagation of Ca2+ waves in response to glucose. On the other hand, ER stores are required to transition to sustained Ca2+ waves.

Ion channels and transporters involved in calcium flux regulation in mammalian sperm

After ejaculation, mammalian spermatozoa are not capable of fertilizing a metaphase II-arrested egg. They require to undergo a series of biochemical and physiological processes collectively known as capacitation. In all these processes, the regulation of calcium ions fluxes plays essential roles and involves participation of many channels and transporters localized in the plasma membrane as well as in the membrane of intracellular organelles. In mammalian sperm, a fraction of these molecules has been proposed to contribute to mature sperm function. However, in many cases, the evidence for the presence of a given protein is based on the use of agonists and antagonists with more than one target. In this review, we will critically analyze the published evidence supporting the presence of these molecules in mammalian sperm with special emphasis to methods involving tandem mass spectrometry identification, electrophysiological evidence and controlled immunoassays.

In-house assays for detecting anti-SARS-CoV-2 antibodies in serum and urine: Correlation with COVID-19 severity from a cohort study in Qatar

BACKGROUND

Serological assays targeting antibodies against key viral proteins, including the Spike (S1), Receptor Binding Domain (RBD), and Nucleocapsid, play a critical role in understanding immunity and supporting diagnostic efforts during COVID-19 pandemic, and afterward. This study aimed to develop and validate in-house assays for detecting anti-SARS-CoV-2 antibodies in serum and urine.

METHODS

ELISA-based assay was developed to detect IgG and IgM antibodies against SARS-CoV-2. The assay was examined in serum and urine samples of two different cohort of patients affected by COVID-19 disease with different severity and compared to age and sex matched control group. Neutralizing antibody activity was evaluated using an RBD-ACE2 binding inhibition assay. Additionally, a Sengenics protein microarray platform was employed to assess epitope-specific antibody responses.

RESULTS

The in-house ELISA assay reliably detected antibodies in both 163 serum and 64 urine samples compared to 50 serum samples from healthy control, with strong correlations observed between antibody levels in the two biofluids. Neutralizing antibody levels correlated positively with disease severity, highlighting their clinical relevance. The performance of the in-house assays was comparable to commercial kits, and the Sengenics microarray provided detailed insights into antibody profiles, identifying dominant epitopes within the Nucleocapsid core domain and RBD.

CONCLUSIONS

The developed in-house assay demonstrated robust performance and versatility, offering a cost-effective and scalable alternative to commercial kits. Their ability to detect antibodies in both serum and urine highlighted their potential as non-invasive diagnostic tools. These findings contribute to advancing sero-diagnostic capabilities, improving understanding of immune responses to SARS-CoV-2, and supporting global efforts to monitor and manage COVID-19 effectively.

1H-NMR-Based Metabolomic Profiles of Zucchini (Cucurbita pepo L.) Grown with Different Agricultural Practices for Sustainable Crop Production

Zucchini (Cucurbita pepo subsp. pepo) is a seasonal vegetable (also known as courgette) characterized by health properties due to the content of several bioactive molecules. For this reason, the consumption of zucchini is highly recommended as a part of the Mediterranean diet. The aim of this study was to evaluate the possible influence of a specific compost supply for shifting the characteristics of an integrated agriculture toward a biodynamic standard following Demeter® certified rules. In particular, an approach based on 1H-Nuclear Magnetic Resonance (NMR) spectroscopy and multivariate statistical analysis (MVA) was applied to analyze the differences between the metabolic profiles of the zucchini samples (with the same cultivar, Vitulia), obtained from three different agronomical practices: two focused agricultural systems (compost supplied and integrated), as well as the used benchmark (Demeter biodynamic certified). The obtained results showed that the samples from the plots managed with biofertilizer from compost showed similar behaviour to the samples managed under Demeter biodynamic certification, with higher content of some amino acids, such as arginine, and lower content of sugars than the samples from integrated farming. The concentration of twenty elements was then determined using inductively coupled plasma atomic emission spectroscopy (ICP-AES). The averaged results of the elemental data appear almost parallel to the trend observed with the metabolomics approach. In the present case, the use of a specific compost as a biofertilizer has shown to promote the transition to the quality standards of the Demeter certification, significantly improving the crops' sustainability.

Metabolic Syndrome and Schizophrenia: Adding a Piece to the Interplay Between the Kynurenine Pathway and Inflammation

The biology of schizophrenia is highly complex and multifaceted. Numerous efforts have been made over the years to disentangle the heterogeneity of the disease, gradually leading to a more detailed understanding of its underlying pathogenic mechanisms. Two cardinal elements in the pathophysiology of schizophrenia are neuroinflammation and alterations of neurotransmission. The kynurenine (KYN) pathway (KP) is of particular importance because it is inducted by systemic low-grade inflammation in peripheral tissues, producing metabolites that are neuroactive (i.e., modulating glutamatergic and cholinergic neurotransmission), neuroprotective, or neurotoxic. Consequently, the KP is at the crossroads between two primary systems involved in the pathogenesis of schizophrenia. It bridges the central nervous system (CNS) and the periphery, as KP metabolites can cross the blood-brain barrier and modulate neuronal activity. Metabolic syndrome plays a crucial role in this context, as it frequently co-occurs with schizophrenia, contributing to a sub-inflammatory state able to activate the KP. This narrative review provides valuable insights into these complex interactions, offering a framework for developing targeted therapeutic interventions or precision psychiatry approaches of the disorder.

Identification of adipose tissue-derived exosomal microRNA as a novel causal biomarker for cognitive impairment in type 2 diabetes mellitus: Triangulating evidence from Mendelian randomization and multicentre population studies

AIMS

To explore serum exosomal microRNAs (miRNAs) as risk biomarkers for early detection of cognitive impairment in type 2 diabetes mellitus (T2DM) patients.

MATERIALS AND METHODS

This study included two phases: a discovery phase and a validation phase. To detect adipose tissue exosomal biomarkers for T2DM patients, small RNA sequencing was conducted on a discovery population consisting of six T2DM patients and five subjects with normal glucose tolerance. To identify miRNAs with causal effects on cognitive impairment, Mendelian randomization (MR) analysis using publicly available genome wide association studies (GWAS) datasets was performed. Relationships between serum exosomal miRNAs and cognitive impairment were evaluated in a training population of 207 T2DM patients, and further validated in an external population of 101 T2DM patients from multiple centres.

RESULTS

In the discovery phase, 13 exosomal miRNAs were significantly upregulated in adipose tissue of T2DM patients. MR analyses identified that increased miR-125a-5p was causally associated with increased Alzheimer's disease (AD) risk (OR = 1.231, 95% CI 1.062-1.426). In the validation phase, higher serum exosomal miR-125a-5p levels were related to increased amnestic mild cognitive impairment (aMCI) risk (OR = 1.066, 95% CI 1.030-1.103) and reduced left hippocampal body volume (r = -0.189, p < 0.05), achieving an area under the curve (AUC) of 0.728 for identifying aMCI in T2DM patients. External validation confirmed a diagnostic AUC of 0.738.

CONCLUSIONS

Serum exosomal miR-125a-5p derived from adipose tissue can serve as a causal biomarker for cognitive impairment in T2DM patients.

Ageing-related changes in the regulation of microglia and their interaction with neurons

Ageing is one of the most important risk factors for chronic health conditions, including neurodegenerative diseases. Inflammation is a feature of ageing, as well as a key pathophysiological mechanism for degenerative diseases. Microglia play multiple roles in the central nervous system; their states entail a complex assemblage of responses reflecting the multiplicity of functions they fulfil both under homeostatic basal conditions and in response to stimuli. Whereas glial cells can promote neuronal homeostasis and limit neurodegeneration, age-related inflammation (i.e. inflammaging) leads to the functional impairment of microglia and astrocytes, exacerbating their response to stimuli. Thus, microglia are key mediators for age-dependent changes of the nervous system, participating in the generation of a less supportive or even hostile environment for neurons. Whereas multiple changes of ageing microglia have been described, here we will focus on the neuron-microglia regulatory crosstalk through fractalkine (CX3CL1) and CD200, and the regulatory cytokine Transforming Growth Factor β1 (TGFβ1), which is involved in immunomodulation and neuroprotection. Ageing results in a dysregulated activation of microglia, affecting neuronal survival, and function. The apparent unresponsiveness of aged microglia to regulatory signals could reflect a restriction in the mechanisms underlying their homeostatic and reactive states. The spectrum of functions, required to respond to life-long needs for brain maintenance and in response to disease, would progressively narrow, preventing microglia from maintaining their protective functions. This article is part of the Special Issue on "Microglia".

The role of LNK in mitigating hypertension: inhibition of vascular smooth muscle proliferation and JAK-STAT pathway

The lymphocyte adaptor protein LNK is predominantly found in endothelial and hematopoietic cells and is linked to cardiovascular and autoimmune diseases. LNK functions as a negative regulator of cytokine signaling and cell proliferation, but its impact on hypertensive vascular smooth muscle cells (HVSMC) remains unclear. This study aimed to explore the influence of LNK on HVSMC function. To achieve this, vascular smooth muscle cells (VSMCs) from rat thoracic aorta were isolated and identified using immunofluorescence. A hypertensive cell model was established by treatment with angiotensin-II, confirmed through the MTT method. Lentivirus was utilized to create stable silencing and overexpression of the LNK gene. Flow cytometry assessed VSMC cycle, proliferation, and migration levels, while ELISA measured IL-6, TNF-α, and IFN-γ expression levels. Real-time quantitative PCR and western blot were employed to analyze LNK, STAT3, JAK1, JAK2, JAK3 mRNA, and protein expression in rat VSMC. Immunofluorescence results indicated that most VSMCs expressed vimentin, with a proliferation rate of 48.5% in VSMCs treated with 100 nM angiotensin-II, confirming successful isolation and model construction of HVSMC. Compared to the control group, the angiotensin-II group exhibited increased HVSMCs in S and G2/M-phases of the cell cycle, decreased in G0/G1 phases, higher proliferation and migration capacity, and elevated inflammation levels. Additionally, JAK1, JAK2, and STAT3 signaling pathway-related mRNA and protein expression were significantly elevated. These effects were further intensified by the combined action of angiotensin-II and LNK silencing virus. Conversely, these effects were notably reduced when angiotensin-II was combined with the LNK overexpressing virus. These findings suggest that LNK mitigates the impact of hypertension and inflammation by inhibiting the proliferation, migration, and JAK-STAT signaling pathway of HVSMCs.

Patterns and determinants of serum amylase, lipase concentrations in Indian adolescents and youth with type 1 diabetes

OBJECTIVES

Exocrine pancreatic insufficiency has been demonstrated in type 1 diabetes (T1D); lower concentrations of pancreatic enzymes have been associated with metabolic risk (MR). Influence of puberty and MR factors on serum concentrations of amylase and lipase remain unexplored in Indian youth with T1D. 1) To characterize and predict determinants of serum amylase and lipase concentrations in adolescents/youth with T1D. 2) To assess relationship between amylase, lipase, and prevalence of MR.

METHODS

Cross sectional, observational study on 291 (155 girls) adolescents/youth (10-24 years) with T1D. History, examination, body composition, biochemistry (glycated hemoglobin [HbA1c], thyroid stimulating hormone [TSH], lipids).

RESULTS

Mean age, diabetes duration and HbA1c were 15.3, 7.0 years and 10.0 ± 2.1, respectively. Relative risk of lower amylase/higher lipase concentrations (9.5 %) was 1.42 and 1.34, respectively, though these did not reach statistical significance. In pubertal participants, amylase was lower and lipase higher; association was not found with MR. Higher TSH and lower serum calcium were significantly associated with higher lipase (p<0.001).

CONCLUSIONS

We have characterized amylase and lipase concentrations across puberty; poor glycemic control tended to be associated with lower amylase and higher lipase, though these findings did not reach statistical significance. Amylase and lipase concentrations should be monitored in Indian adolescents with T1D, particularly in those with poor metabolic control, puberty, uncontrolled hypothyroidism, or reduced calcium intake, while further longitudinal and larger studies are needed to generalize these findings.

Potential role of ghrelin in neuroprotection and cognitive function: implications for diabetic cognitive impairment

Ghrelin is a class of brain and intestinal peptides. It regulates food intake and body glucose levels and maintains cellular homeostasis. In recent years, research has revealed that ghrelin may positively impact learning and memory. Despite ghrelin's multiple functions in the central nervous system, its use as a therapeutic agent for neurologic dysfunction remains unclear. Diabetic cognitive impairment (DCI) is a severe neurological complication of diabetes mellitus. Its incidence is increasing as a comorbidity in endocrinology and neurology. Additionally, it is a risk factor for Alzheimer' s disease (AD). Ghrelin levels are altered in patients with diabetes mellitus combined with cognitive impairment. Furthermore, modulation of ghrelin levels improved cognitive function in rats with DCI. These findings suggest the potential therapeutic importance of ghrelin in the pathogenesis of DCI. This article presents a comprehensive review of the pathogenesis of DCI and its potential modulation by ghrelin and its mimics. Furthermore, this study elucidates the therapeutic prospects of ghrelin and its mimics for DCI, aiming to identify novel therapeutic targets and research avenues for the prevention and management of DCI in the future.

Current Therapeutic Landscape for Metabolic Dysfunction-Associated Steatohepatitis

In recent years, "metabolic dysfunction-associated steatotic liver disease" (MASLD) has been proposed to better connect liver disease to metabolic dysfunction, which is the most common chronic liver disease worldwide. MASLD affects more than 30% of individuals globally, and it is diagnosed by the combination of hepatic steatosis and obesity, type 2 diabetes, or two metabolic risk factors. MASLD begins with the buildup of extra fat, often greater than 5%, within the liver, causing liver hepatocytes to become stressed. This can proceed to a more severe form, metabolic dysfunction-associated steatohepatitis (MASH), in 20-30% of people, where inflammation in the liver causes tissue fibrosis, which limits blood flow over time. As fibrosis worsens, MASH may lead to cirrhosis, liver failure, or even liver cancer. While the pathophysiology of MASLD is not fully known, the current "multiple-hits" concept proposes that dietary and lifestyle factors, metabolic factors, and genetic or epigenetic factors contribute to elevated oxidative stress and inflammation, causing liver fibrosis. This review article provides an overview of the pathogenesis of MASLD and evaluates existing therapies as well as pharmacological drugs that are currently being studied in clinical trials for MASLD or MASH.

Identification of blood plasma protein ratios for distinguishing Alzheimer's disease from healthy controls using machine learning

Early detection of Alzheimer's disease is essential for effective treatment and the development of therapies that modify disease progression. Developing sensitive and specific noninvasive diagnostic tools is crucial for improving clinical outcomes and advancing our understanding of this condition. Liquid biopsy techniques, especially those involving plasma biomarkers, provide a promising noninvasive method for early diagnosis and disease monitoring. In this study, we analyzed the plasma proteomic profiles of 38 healthy individuals, with an average age of 66.5 years, and 22 patients with Alzheimer's disease, with an average age of 79.7 years. Proteins in the plasma were quantified using specialized panels designed for proteomic extension assays. Through computational analysis using a linear support vector machine algorithm, we identified 82 differentially expressed proteins between the two groups. From these, we calculated 6642 possible protein ratios and identified specific combinations of these ratios as significant features for distinguishing between individuals with Alzheimer's disease and healthy individuals. Notably, the protein ratios kynureninase to macrophage scavenger receptor type 1, Neurocan to protogenin, and interleukin-5 receptor alpha to glial cell line-derived neurotrophic factor receptor alpha 1 achieving accuracy up to 98 % in differentiating between the two groups. This study underscores the potential of leveraging protein relationships, expressed as ratios, in advancing Alzheimer's disease diagnostics. Furthermore, our findings highlight the promise of liquid biopsy techniques as a noninvasive and accurate approach for early detection and monitoring of Alzheimer's disease using blood plasma.

Cell-Free Nucleic Acids for Early Diagnosis of Acute Ischemic Stroke: A Systematic Review and Meta-Analysis

Rapid identification of acute ischemic stroke (AIS) is challenging in both pre-hospital and hospital settings. We aimed to identify the most promising cell-free nucleic acids (cfNAs) as diagnostic biomarkers for IS within 72 h from symptom onset. We searched PubMed, Web of Science, EMBASE, and Cochrane Library for published articles that evaluated blood cfNAs in the early diagnosis of AIS until 10 May 2023. The diagnostic performances of individual cfNAs were pooled by random-effects meta-analysis based on the fold change of biomarkers' level between AIS and non-AIS patients. Of 2955 records, 66 articles reporting 143 different cfNAs met the inclusion criteria. The median sample size was 110, and 21.4% of the studies performed validation. Among selected high-quality studies, miR-106b-5p, miR-124, miR-155, lncRNA H19, and cfDNA showed good diagnostic performance. Data from four studies on cfDNA involving 355 AIS patients and 97 controls were pooled in the meta-analysis, which showed a significant fold change between AIS and controls (pooled ratio 1.48, 95% confidence interval 1.23-1.79, p < 0.001). This review highlights that cfDNA, miR-106b-5p, miR-124, miR-155, and lncRNA H19 are the most promising biomarkers for AIS diagnosis, and further research is needed for verification.

Novel Inflammatory Biomarkers for Autism Spectrum Disorder Detected by Plasma Olink Proteomics

Background: Research evidence has recently shown an association between autism spectrum disorder (ASD) and inflammation. For example, the expression of inflammatory cytokines is abnormal in children with ASD, and maternal inflammation can lead to ASD-like behavior in offspring. These studies suggest that inflammation plays an important role in the occurrence and development of ASD. Inflammatory cytokines may, therefore, be potential biomarkers for ASD. In the present study, we sought to systematically identify inflammatory biomarkers of children with ASD. Methods: We used Olink proteomics to comprehensively examine differentially expressed inflammation-related proteins in 60 children with ASD and 28 children with typical development (TD). We validated our findings using published data. Results: A total of 18 inflammation-related proteins were differentially expressed between the ASD and TD groups. Compared with the TD group, the expression of all differentially expressed proteins was up-regulated in the ASD group. Furthermore, eight differentially expressed proteins showed good diagnostic efficacy, as delineated by area under the curve (AUC) values of > 0.7. To our knowledge, this is the first time that up-regulated interleukin-17C (IL-17C), chemokine ligand (CCL)-19, and CCL20 have been detected in the plasma of children with ASD (with AUC of 0.839, 0.763, and 0.756, respectively). We also found that there was a negative correlation between inflammatory cytokines and SRS scores. Conclusions: Multiple inflammatory markers were increased in children with ASD. IL-17C, CCL19, and CCL20 exhibit potential as biomarker candidates for ASD. Elevated expression levels of cytokines may enhance social ability in ASD.

CD38 deficiency leads to a defective short-lived transcriptomic response to chronic graft-versus-host disease induction, involving purinergic signaling-related genes and distinct transcriptomic signatures associated with lupus

This study aimed to elucidate the transcriptomic signatures and dysregulated pathways associated with the autoimmune response in Cd38-/- mice compared to wild-type (WT) mice within the bm12 chronic graft-versus-host disease (cGVHD) lupus model. We conducted bulk RNA sequencing on peritoneal exudate cells (PECs) and spleen cells (SPC) at two and four weeks following adoptive cell transfer. We also analyzed cells from healthy, untreated mice. These analyses revealed a sustained upregulation of a transcriptional profile of purinergic receptors and ectonucleotidases in cGVHD WT PECs, which displayed a coordinated expression with several type I interferon-stimulated genes (ISGs) and with key molecules involved in the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) signaling pathway, two hallmarks in the lupus pathology. A second purinergic receptor transcriptomic profile, which included P2rx7 and P2rx4, showed a coordinated gene expression of the components of the NLRP3 inflammasome with its potential activators. These processes were transcriptionally less active in cGVHD Cd38-/- PECs than in WT PECs. We have also shown evidence of a distinct enrichment in pathways signatures that define processes such as Ca2+ ion homeostasis, cell division, phagosome, autophagy, senescence, cytokine/cytokine receptor interactions, Th17 and Th1/Th2 cell differentiation in Cd38-/- versus WT samples, which reflected the milder inflammatory and autoimmune response elicited in Cd38-/- mice relative to WT counterparts in response to the allogeneic challenge. Last, we have shown an intense metabolic reprogramming toward oxidative phosphorylation in PECs and SPC from cGVHD WT mice, which may reflect an increased cellular demand for oxygen consumption, in contrast to PECs and SPC from cGVHD Cd38-/- mice, which showed a short-lived metabolic effect at the transcriptomic level. Overall, these findings support the pro-inflammatory and immunomodulatory role of CD38 during the development of the cGVHD-lupus disease.