Incidence, risk factors and mortality of invasive pulmonary aspergillosis in patients with influenza: A systematic review and meta-analysis.

BACKGROUND: An increasing number of cases of invasive pulmonary aspergillosis (IPA) complicating influenza have been described. We performed a meta-analysis to estimate the incidence, risk factors and outcomes of IPA in patients with influenza. METHODS: A systematic search was conducted in the PubMed, EMBASE and Cochrane Library databases from their inception to 31 August 2021 for eligible studies. Data on the incidence and risk factors of and mortality due to IPA in influenza patients were pooled using a random-effects model. Sensitivity analyses restricted to severe influenza requiring intensive care unit (ICU) support and multiple subgroup analyses were performed. RESULTS: Fourteen studies involving 6024 hospitalised patients with influenza were included. IPA was estimated to occur in 10% of influenza patients, with a mortality rate of 52%. Similar incidence (11%) and mortality (54%) estimates for IPA were observed in the sensitivity analysis including severe cases requiring ICU support. Subgroup analysis by geographical location showed a similar IPA rate between European (10%) and non-European (11%) studies. The IPA rate in the subset of nine studies using the modified AspICU criteria was 13%. Most subgroup analyses showed ≥50% mortality in IPA patients. Several predictors for IPA susceptibility were identified, including male sex, smoking history, chronic lung disease, influenza A (H1N1), severe conditions requiring supportive therapy, corticosteroid use before admission, solid organ transplant and haematological malignancy. CONCLUSIONS: The IPA is common in individuals with severe influenza, and the prognosis is particularly poor. Influenza patients, especially those with high-risk factors, should be thoroughly screened for IPA.

Predictors of mortality in patients with coronavirus disease 2019: a systematic review and meta-analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is associated with a high mortality rate, especially in patients with severe illness. We conducted a systematic review and meta-analysis to assess the potential predictors of mortality in patients with COVID-19. METHODS: PubMed, EMBASE, the Cochrane Library, and three electronic Chinese databases were searched from December 1, 2019 to April 29, 2020. Eligible studies reporting potential predictors of mortality in patients with COVID-19 were identified. Unadjusted prognostic effect estimates were pooled using the random-effects model if data from at least two studies were available. Adjusted prognostic effect estimates were presented by qualitative analysis. RESULTS: Thirty-six observational studies were identified, of which 27 were included in the meta-analysis. A total of 106 potential risk factors were tested, and the following important predictors were associated with mortality: advanced age, male sex, current smoking status, preexisting comorbidities (especially chronic kidney, respiratory, and cardio-cerebrovascular diseases), symptoms of dyspnea, complications during hospitalization, corticosteroid therapy and a severe condition. Additionally, a series of abnormal laboratory biomarkers of hematologic parameters, hepatorenal function, inflammation, coagulation, and cardiovascular injury were also associated with fatal outcome. CONCLUSION: We identified predictors of mortality in patients with COVID-19. These findings could help healthcare providers take appropriate measures and improve clinical outcomes in such patients.

Serum exosomal microRNAs as predictive markers for EGFR mutations in non-small-cell lung cancer.

BACKGROUND: Current therapeutic drugs show positive effects on non-small-cell lung cancer (NSCLC) patients with mutant epidermal growth factor receptor (EGFR) expression, whereas a lesser beneficial effect is generally noted on NSCLC patients with wild-type EGFR. Therefore, identification of new detection methods for the accurate clinical diagnosis of NSCLC is essential. METHODS: In this study, tumor-derived exosomes from the plasma of EGFR mutation and wild-type NSCLC patients were isolated. Extensive exosomal miRNA profiling of EGFR mutation and wild-type NSCLC patients, in comparison with healthy individuals, was performed using miRNA-sequencing analysis. RESULTS: The variation of exosomal miRNA expression between control group (NR) and NCSLC samples (AM and AW) was identified. 96 significantly different expressed miRNAs were identified. Of these, 39 miRNAs were upregulated and 57 were downregulated. 11 miRNAs were downregulated, and 31 miRNAs were upregulated in the miRNA expression between NR and AM. Compared with healthy donors, 54 upregulated miRNAs and 36 downregulated miRNAs were observed in samples from AW patients. 40 different expressed miRNAs were identified in AM samples, compared with AW. Ten of upregulated miRNAs are miR-260, miR-1169, miR-117, miR-15b-5p, miRNA-731, miR-342-5p, miR- 898, miR-1384, miR-56, and miR-1214. Ten of downregulated miRNAs are miR-99b-5p, miR-1116, miR-689, miR-818, miR-604, miR-72, miR-955, miR-403, miR-1228, and miR-836. CONCLUSION: The exosomal miR-1169 and miR-260 as potential candidates, which contain specific characteristics that can distinguish between wild-type EGFR and mutant EGFR NSCLC patients in early-stage cancers.

Ganoderic acid DM induces autophagic apoptosis in non-small cell lung cancer cells by inhibiting the PI3K/Akt/mTOR activity.

The incidence and mortality of lung cancer are the highest among cancer-related deaths. However, the long-term use of currently available cytotoxic drugs can increase genetic alterations in cancer cells and cause drug-resistance, which significantly limits their usage. Since current systemic treatment options are limited, effective chemotherapeutic agents are urgently needed for non-small cell lung cancer (NSCLC) treatment. In this study, we demonstrated that ganoderic acid DM (GA-DM) could increase apoptosis in A549 and NCI-H460 NSCLC cells. GA-DM treatment decreased the protein expression levels of Bcl-2 and increased the expression levels of Bax, cleaved caspase-3 and cleaved PRAP. Furthermore, GA-DM could promote autophagic flux, and the cytotoxic effect against cancer cells of GA-DM was significantly inhibited by targeted suppression of autophagy, suggesting that autophagy contributed to GA-DM-induced cell death in NSCLC. Moreover, GA-DM clearly induced autophagy by inactivating the PI3K/Akt/mTOR pathway. When overexpression of Akt reactivated Akt/mTOR pathway in A549 or NCI-H460 cells, the increase of autophagy related marker LC3B-II and apoptosis related protein cleaved PARP and cleaved caspase 3 and the ration of apoptotic cells by GA-DM was reversed, suggesting that GA-DM promoted autophagy and apoptosis by inhibiting Akt/mTOR pathway-mediated autophagy induction. In conclusion, our study indicated that GA-DM can induce autophagic apoptosis in NSCLC by inhibiting Akt/mTOR activity. (209 words).

Ganoderic Acid A improves high fat diet-induced obesity, lipid accumulation and insulin sensitivity through regulating SREBP pathway.

Obesity and its major co-morbidity, type 2 diabetes, have been an alarming epidemic prevalence without an effective treatment available. Sterol regulatory element-binding proteins (SREBPs) are major transcription factors regulating the expression of genes involved in biosynthesis of cholesterol, fatty acid and triglyceride. Therefore, inhibition of SREBP pathway may be a useful strategy to treat obesity with type 2 diabetes. Here, we identify a small molecule, Ganoderic Acid A (GAA), inhibits the SREBP expression and decreases the cellular levels of cholesterol and fatty acid in vitro. GAA also ameliorates body weight gain and fat accumulation in liver or adipose tissues, and improves serum lipid levels and insulin sensitivity in high fat diet (HFD)-induced obese mice. Consistently, GAA regulates SREBPs target genes and metabolism associated genes in liver or adipose tissues, which may directly contribute to the lower lipid level and improvement of insulin resistance. Taken together, GAA could be a potential leading compound for development of drugs for the prevention of obesity and insulin resistance.