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BACKGROUND: Inflammation plays a pivotal role in the pathogenesis of heart failure (HF). This study was aimed to the potential association between complete blood cell count (CBC)-derived inflammatory biomarkers and HF. METHODS: Data from the National Health and Nutrition Examination Survey (NHANES) 2009-2018 were utilised. We evaluated the associations between HF and five systemic inflammation markers derived from CBC: systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR). Demographic characteristics, physical examinations, and laboratory data were systematically collected for comparative analysis between HF and non-HF individuals. Fitted smoothing curves and threshold effect analysis delineated the relationship. In addition, Spearman correlation and subgroup analyses were further conducted. RESULTS: A total of 26,021 participants were categorised into HF (n = 858) and non-HF (n = 25,163) groups. After adjusting for confounding variables, SIRI, NLR, and MLR had significant positive correlations with the risk of HF. Participants in the highest quarter groups of SIRI, NLR, and MLR showed a increased risk of developing HF compared to those in the lowest quarter group. Furthermore, subgroup and sensitivity analyses indicated that SIRI, NLR, and MLR had a stronger correlation to HF (all p < 0.05). Smoothing curve fitting highlighted a nonlinear relationship between CBC-derived inflammatory biomarkers and HF. CONCLUSIONS: Our results illustrated a significant association between elevated levels of SIRI, NLR, and MLR and an increased risk of HF. SIRI, NLR, and MLR could potentially serve as systemic inflammation hazard markers for HF.
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BACKGROUND: Our study aimed to identify inclisiran-related adverse events(AEs) for primary hypercholesterolemia and arteriosclerotic cardiovascular disease(ASCVD) from the US FDA Adverse Event Reporting System (FAERS) database, analyzing its links to AEs in the overall patient population and sex-specific subgroups to improve medication safety. METHODS: We analyzed inclisiran-related AEs signals by using statistical methods like Reporting Odds Ratio (ROR), Proportional Reporting Ratios (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma-Poisson Shrinker (MGPS). RESULTS: Analyzing 2,400 AE reports with inclisiran as the primary suspected drug in the FAERS database, we identified 70 AE signals over 13 organ systems using the above four methods. Notable findings were strong signals for systemic diseases and various reactions at the site of administration (ROR 1.49, 95% CI 1.41-1.57), and various musculoskeletal and connective tissue diseases (ROR 4.07, 95% CI 3.83-4.03) in overall and gender-specific populations. Myalgia, a new ADE signal not in the drug insert, was a top signal by intensity and frequency (ROR 14.76, 95% CI 12.84-16.98). CONCLUSION: Our study revealed the strongest AE signals associated with inclisiran in both the overall population and gender subgroups, highlighting potential risks in clinical medication use and guiding balanced clinical decision-making.
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Basidioma is the fruiting body of mushroom species. The deep understanding on the mechanism of basidioma development is valuable for mushroom breeding and cultivation. From winter mushroom (Flammulina velutipes), one of the top five industrially cultivated mushrooms, a novel putative Zn(II)2Cys6 transcription factor LFC1 with negative regulatory function in basidioma development was identified. The transcript level of lfc1 was dramatically decreased during basidioma development. Neither overexpression nor knockdown of lfc1 affected hyphal vegetative growth. However, knockdown of lfc1 could promote basidioma development and shorten cultivation time by 2 days, while overexpression of lfc1 delayed the optimal harvest time by 3 days. In the lfc1 knockdown strain, in which the lfc1 expression was reduced by 72%, mushroom yield and biological efficiency could be increased at least by 24%. Knockdown of lfc1 did not affect the shape of caps but significantly increased basidioma length and number, while its overexpression did not affect basidioma length but dramatically reduced basidioma number. In addition, rather than producing basidiomata with round caps as in wild type, the caps of basidiomata in the lfc1 overexpression mutants were significantly larger and the cap edge was wrinkled. RNA-seq analysis revealed that 455 genes had opposite transcriptional responses to lfc1 overexpression and knockdown. Some of them were previously reported as genes involved in basidioma development, including 3 hydrophobin encoding genes, 2 lectin encoding genes, FVFD16, an Eln2 ortholog encoding gene, and 3 genes encoding membrane components. As LFC1 homologs are widely present in mushroom species, lfc1 can be useful in mushroom breeding.Key Points⢠A novel transcription factor LFC1 negatively regulates fruiting in winter mushroom⢠LFC1 regulated transcription of more than 400 genes.⢠Reduction of LFC1 expression could shorten cultivation time and increase yield.⢠lfc1 could be a potentially useful reference gene for mushroom breeding.