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MSystems Jun 2024is the dominant species of the genus in the gut, which is genomically heterogeneous and difficult to isolate; hence, scarce research was carried out for this species....
UNLABELLED
is the dominant species of the genus in the gut, which is genomically heterogeneous and difficult to isolate; hence, scarce research was carried out for this species. This study aimed to investigate the effect of on hyperglycemia. Thirty-nine strains were isolated from healthy individuals, and three strains (HF2123, HF1478, and HF2130) that had the highest glucose consumption were selected to evaluate the effects of supplementation on hyperglycemia. Microbiomics and non-target metabolomics were used to uncover the underlying mechanisms. Oral administration of in diabetic db/db mice increased the expression and secretion of glucagon-like peptide-1 (GLP-1), significantly improved hyperglycemia, insulin resistance, and lipid accumulation, and alleviated the pathological morphology in the pancreas, liver, and colon. changed the composition of the gut microbiota of diabetic db/db mice, which was characterized by increasing the ratio of Bacteroidetes to Firmicutes and increasing the relative abundance of genera , , and . After intervention with , fecal metabolic profiling showed that fumaric acid and homocysteine contents decreased, and glutamine contents increased. Furthermore, amino acid metabolism and cAMP/PKA signaling pathways were enriched. Our findings indicate that improved glucose metabolism abnormalities in diabetic db/db mice. Especially, one of the strains, HF2130, has shown superior performance in improving hyperglycemia, which may have the potential as a probiotic against hyperglycemia.
IMPORTANCE
As a core member of the human intestinal ecosystem, has been associated with glucose metabolic homeostasis in previous studies. However, these results have often been derived from metagenomic studies, and the experimental studies have been based solely on the type of strain DSM 18205. Therefore, more experimental evidence from additional isolates is needed to validate the results according to their high genomic heterogeneity. In this study, we isolated different branches of strains and demonstrated that could improve the metabolic profile of hyperglycemic mice by modulating microbial activity. This finding supports the causal contribution of in host glucose metabolism.
PubMed: 38934548
DOI: 10.1128/msystems.00532-24 -
Immunity, Inflammation and Disease Jun 2024To investigate the prognostic factors of patients with anti-melanoma differentiation-associated gene 5 (MDA5) positive clinically amyopathic dermatomyositis (CADM) and...
OBJECTIVE
To investigate the prognostic factors of patients with anti-melanoma differentiation-associated gene 5 (MDA5) positive clinically amyopathic dermatomyositis (CADM) and interstitial lung disease (ILD).
METHODS
A retrospective analysis was conducted on clinical data of 125 patients with anti-MDA5 + CADM-ILD collected from 10 branches in eastern China between December 2014 and December 2022. Prognostic factors were analyzed using χ test, Log-rank test, COX and logistic regression analysis.
RESULTS
In this cohort, 125 anti-MDA5 + CADM-ILD patients exhibited a rapidly progressive interstitial lung disease (RPILD) incidence of 37.6%, and an overall mortality rate of 24.8%. One patient was lost to follow-up. After diagnosis of RPILD, a mortality rate of 53.2% occurred in patients died within 3 months, and that of 5.6% appeared in those who survived for more than 3 months. Multiple factor analysis revealed that C-reactive protein (CRP) ≥ 10 mg/L (p = 0.01) and recombinant human tripartite motif containing 21 (Ro52) (+) (p = 0.003) were associated with a higher risk of RPILD in anti-MDA5 + CADM-ILD patients; CRP ≥ 10 mg/L (p = 0.018) and the presence of RPILD (p = 0.003) were identified as the factors influencing survival time in these patients, while arthritis was the protective factor (p = 0.016).
CONCLUSION
Patients with anti-MDA5 + CADM-ILD will have a higher mortality rate, and the initial 3 months after diagnosis of RPILD is considered the risk window for the dismal prognosis. Patients with CRP ≥ 10 mg/L, Ro52 (+) and RPILD may be related to a shorter survival time, while patients complicated with arthritis may present with relatively mild conditions.
Topics: Humans; Lung Diseases, Interstitial; Dermatomyositis; Interferon-Induced Helicase, IFIH1; Male; Female; Prognosis; Middle Aged; Retrospective Studies; Adult; Autoantibodies; China; Aged
PubMed: 38934403
DOI: 10.1002/iid3.1332 -
Heliyon Jun 2024Aberrant epigenetic modifications, particularly DNA methylation, play a critical role in the pathogenesis and progression of human diseases. The current review aims to... (Review)
Review
Aberrant epigenetic modifications, particularly DNA methylation, play a critical role in the pathogenesis and progression of human diseases. The current review aims to reveal the role of aberrant DNA methylation in the pathogenesis and progression of diseases and to discuss the original data obtained from international research laboratories on this topic. In the review, we mainly summarize the studies exploring the role of aberrant DNA methylation as diagnostic and prognostic biomarkers in a broad range of human diseases, including monogenic epigenetics, autoimmunity, metabolic disorders, hematologic neoplasms, and solid tumors. The last section provides a general overview of the possibility of the DNA methylation machinery from the perspective of pharmaceutic approaches. In conclusion, the study of DNA methylation machinery is a phenomenal intersection that each of its ways can reveal the mysteries of various diseases, introduce new diagnostic and prognostic biomarkers, and propose a new patient-tailored therapeutic approach for diseases.
PubMed: 38933971
DOI: 10.1016/j.heliyon.2024.e32366 -
Heliyon Jun 2024As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems hold great promise for enhancing healthcare delivery and illness prevention...
As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems hold great promise for enhancing healthcare delivery and illness prevention efforts. These systems acquire an in-depth understanding of patient health states through the real-time collection and analysis of medical data enabled by the Internet of Things (IoT) and machine learning. With the widespread use of cutting-edge artificial intelligence and machine learning techniques, predictive analytics in medicine can assist in making the shift from a reactive to a proactive healthcare strategy. With the ability to rapidly and precisely evaluate massive amounts of data, draw intelligent conclusions, and solve difficult issues, artificial neural networks could revolutionize several industries. Two cardiac illnesses were assessed in this study using a multilayer perceptron artificial neural network that incorporated a genetic algorithm and an error-back propagation mechanism. The ability of artificial neural networks to handle consecutive time series data is crucial for optimizing resources in smart electronic health systems, especially with the increasing volume of patient information and the broad use of electronic clinical records. This requires the creation of more accurate predictive models. Through the use of Internet of Things (IoT) sensors, the proposed system gathers data, which is then used to do predictive analytics on patient history-related electronic clinical data saved in the cloud. A smart healthcare system that uses Mu-LTM (multidirectional long-term memory) to accurately monitor and predict the risk of heart disease has a coverage error of 97.94 %, an accuracy of 97.89 %, a sensitivity of 97.96 %, and a specificity of 97.99 %. In comparison to other smart heart disease prediction systems, the F1-score of 97.95 % and precision of 97.71 % is very good.
PubMed: 38933933
DOI: 10.1016/j.heliyon.2024.e32090 -
Frontiers in Nutrition 2024Historically, secular and seasonal trend analyses have been examined using self-report measures of intake. Rarely are objective measures and known determinants of...
INTRODUCTION
Historically, secular and seasonal trend analyses have been examined using self-report measures of intake. Rarely are objective measures and known determinants of dietary intake used in these analyses. Our objective was to quantify the seasonal and secular differences in an objective intake paradigm while considering the contribution of determinants, such as fat-free mass (FFM) index and spontaneous physical activity (SPA) limited to the restricted space of a whole-room calorimeter.
METHODS
For this study, recruitment of = 292 healthy, diabetes free, adults occurred from 1999 to 2020. Assessment during their 10-day stay included body composition (by DXA), SPA (by an approximately 24-h stay in whole-room calorimetry), and intake (by a vending machine for 3 days). This secondary analysis used general linear models (GLM) to investigate secular and seasonal differences while adjusting for sex, age, FFM index, FM (fat mass) index, SPA, and race/ethnicity.
RESULTS
FFM index and SPA were positively associated with all intake measures ( < 0.05). In all adjusted seasonal models, season did not affect intake. Adjusted secular trends models (kcals/year) demonstrated a decrease in total kcals ( = -55), intake as percent weight maintaining energy needs ( = -2), protein kcals ( = -10), fat kcals ( = -27), and carbohydrates kcals ( = -22) (all < 0.05). After further adjustment for SPA, significance remained in all intake measures ( < 0.05). Secular trends in body composition revealed no changes in weight, BMI, and percent body fat (all > 0.20).
DISCUSSION
Our results indicate that over time, intake decreased in this controlled research setting and remained significant even after accounting for positive determinants of intake. A significant decrease, coupled with no change in body composition, may highlight a participant bias toward calorie restriction in a controlled setting over time and deserves further investigation.
PubMed: 38933891
DOI: 10.3389/fnut.2024.1374386 -
Polymer Chemistry Jun 2024Polythiophenes are one of the most widely studied conjugated polymers. With the discovery of the chain mechanism of Kumada catalyst-transfer polymerisation (KCTP),...
Polythiophenes are one of the most widely studied conjugated polymers. With the discovery of the chain mechanism of Kumada catalyst-transfer polymerisation (KCTP), various polythiophene copolymer structures, such as random, block, and gradient copolymers, have been synthesized batch or semi-batch (sequential addition) methods. However, the lack of quantitative kinetic data for thiophene monomers brings challenges to experimental design and structure prediction when synthesizing the copolymers. In this study, the reactivity ratios and the polymerisation rate constants of 3-hexylthiophene with 4 thiophene comonomers in KCTP are measured by adapting the Mayo-Lewis equation and the first-order kinetic behaviour of chain polymerisation. The obtained kinetic information highlights the impact of the monomer structure on the reactivity in the copolymerisations. The kinetic data are used to predict the copolymer structure of equimolar batch copolymerisations of the 4 thiophene derivatives with 3-hexylthiophene, with the experimental data agreeing well with the predictions. 3-Dodecylthiophene and 3-(6-bromo)hexylthiophene, which have higher structural similarity to 3-hexylthiophene, show nearly equivalent reactivity to 3-hexylthiophene and give random copolymers in the batch copolymerisation. 3-(2-Ethylhexyl)thiophene with a branched side chain is less reactive compared to 3-hexylthiophene and failed to homopolymerize at room temperature, but produced gradient copolymers with 3-hexylthiophene. Finally, the bulkiest 3-(4-octylphenyl)thiophene, despite its ability to homopolymerize, failed to maintain chain polymerisation in the copolymerisation with 3-hexylthiophene, possibly due to the large steric hindrance caused by the phenyl ring directly attached to the thiophene center. This study highlights the importance of monomer structures in copolymerisations and the need for accurate kinetic data.
PubMed: 38933685
DOI: 10.1039/d4py00009a -
Anatomy & Cell Biology Jun 2024Anticipating a wide range of morphological variations of arterial anatomy of foregut derivatives beyond the classical pattern, a precise understanding is pertinent to...
Anticipating a wide range of morphological variations of arterial anatomy of foregut derivatives beyond the classical pattern, a precise understanding is pertinent to preoperative diagnosis, operative procedure and to avoid potentially devastating post-operative outcome during various traumatic and non-traumatic vascular insult of foregut. The study aimed to revisit the morphological details and update unusual configurations of arteries of foregut to establish clinico-anatomical correlations. This study described the detailed branching pattern of coeliac trunk (CT) as principal artery of foregut with source & course of hepatic, gastric, duodenal and pancreatic branches in 58 cadaveric dissections. Based on morphology, different types and subtypes were made. The descriptions were explained using figures and pertinent tables. Among classical branches of CT, splenic artery was found as most stable whereas other two branches were found to be most variable with missing common hepatic artery in 11 cases. In addition to classical trifurcation (65.52%), different types of bifurcation (12.07%) and tetrafurcations (22.41%) of CT were observed. Regarding variations of hepatic arteries (27.59%), both non-classical origin and accessory hepatic branches were found. In case of gastric branches, more variant origins were seen with right gastric (50%) as compared to left gastric artery (34.48%). Other morphological variations included non-classical origin of gastro-duodenal artery (18.96%) along with presence of accessory pancreatic (17.13%) and duodenal arteries (6.38%). Awareness of anatomical variations regarding circulatory dynamics of foregut is worth knowing in order to facilitate successful planning of surgery involving upper abdominal organs with least complications.
PubMed: 38932617
DOI: 10.5115/acb.24.078 -
Aging Cell Jun 2024Aging significantly influences cellular activity and metabolism in glucose-responsive tissues, yet a comprehensive evaluation of the impacts of aging and associated...
Aging significantly influences cellular activity and metabolism in glucose-responsive tissues, yet a comprehensive evaluation of the impacts of aging and associated cell-type responses has been lacking. This study integrates transcriptomic, methylomic, single-cell RNA sequencing, and metabolomic data to investigate aging-related regulations in adipose and muscle tissues. Through coexpression network analysis of the adipose tissue, we identified aging-associated network modules specific to certain cell types, including adipocytes and immune cells. Aging upregulates the metabolic functions of lysosomes and downregulates the branched-chain amino acids (BCAAs) degradation pathway. Additionally, aging-associated changes in cell proportions, methylation profiles, and single-cell expressions were observed in the adipose. In the muscle tissue, aging was found to repress the metabolic processes of glycolysis and oxidative phosphorylation, along with reduced gene activity of fast-twitch type II muscle fibers. Metabolomic profiling linked aging-related alterations in plasma metabolites to gene expression in glucose-responsive tissues, particularly in tRNA modifications, BCAA metabolism, and sex hormone signaling. Together, our multi-omic analyses provide a comprehensive understanding of the impacts of aging on glucose-responsive tissues and identify potential plasma biomarkers for these effects.
PubMed: 38932492
DOI: 10.1111/acel.14199 -
Viruses Jun 2024Gammacoronavirus infectious bronchitis virus (IBV) causes a highly contagious disease in chickens and seriously endangers the poultry industry. The emergence and...
Gammacoronavirus infectious bronchitis virus (IBV) causes a highly contagious disease in chickens and seriously endangers the poultry industry. The emergence and co-circulation of diverse IBV serotypes and genotypes with distinct pathogenicity worldwide pose a serious challenge to the development of effective intervention measures. In this study, we report the epidemic trends of IBV in China from 2019 to 2023 and a comparative analysis on the antigenic characteristics and pathogenicity of isolates among major prevalent lineages. Phylogenetic and recombination analyses based on the nucleotide sequences of the spike (S) 1 gene clustered a total of 205 isolates into twelve distinct lineages, with GI-19 as a predominant lineage (61.77 ± 4.56%) exhibiting an overall increasing trend over the past five years, and demonstrated that a majority of the variants were derived from gene recombination events. Further characterization of the growth and pathogenic properties of six representative isolates from different lineages classified four out of the six isolates as nephropathogenic types with mortality rates in one-day-old SPF chickens varying from 20-60%, one as a respiratory type with weak virulence, and one as a naturally occurring avirulent strain. Taken together, our findings illuminate the epidemic trends, prevalence, recombination, and pathogenicity of current IBV strains in China, providing key information for further strengthening the surveillance and pathogenicity studies of IBV.
Topics: Animals; Infectious bronchitis virus; China; Chickens; Poultry Diseases; Coronavirus Infections; Phylogeny; Genotype; Prevalence; Genetic Variation; Virulence; Recombination, Genetic; Serogroup
PubMed: 38932222
DOI: 10.3390/v16060930 -
Viruses Jun 2024Chikungunya virus (CHIKV) is transmitted by mosquito bites and causes chikungunya fever (CHIKF). CHIKV has a single-stranded RNA genome and belongs to a single serotype...
Chikungunya virus (CHIKV) is transmitted by mosquito bites and causes chikungunya fever (CHIKF). CHIKV has a single-stranded RNA genome and belongs to a single serotype with three genotypes. The Asian lineage has recently emerged in the Western Hemisphere, likely due to travel-associated introduction. Genetic variation accumulates in the CHIKV genome as the virus replicates, creating new lineages. Whole genome sequencing is ideal for studying virus evolution and spread but is expensive and complex. This study investigated whether specific, highly variable regions of the CHIKV genome could recapitulate the phylogeny obtained with a complete coding sequence (CDS). Our results revealed that concatenated highly variable regions accurately reconstructed CHIKV phylogeny, exhibiting statistically indistinguishable branch lengths and tree confidence compared to CDS. In addition, these regions adequately inferred the evolutionary relationships among CHIKV isolates from the American outbreak with similar results to the CDS. This finding suggests that highly variable regions can effectively capture the evolutionary relationships among CHIKV isolates, offering a simpler approach for future studies. This approach could be particularly valuable for large-scale surveillance efforts.
Topics: Chikungunya virus; Phylogeny; Genome, Viral; Chikungunya Fever; Humans; Genetic Variation; Genotype; Whole Genome Sequencing; Evolution, Molecular; Genomics; Open Reading Frames; Animals; RNA, Viral
PubMed: 38932218
DOI: 10.3390/v16060926