Background A novel method, termed loop-mediated isothermal amplification (LAMP), was developed by Notomi et al. (2000). Individually published results have been reported that this technology has been successfully applied to the detection of a variety of pathogens. However, the overall diagnostic accuracy of LAMP for Mycoplasma pneumoniae (MP) remains unclear. A meta-analysis was therefore performed to review the accuracy of LAMP for Mycoplasma pneumoniae. Methods Cochrane Library and PubMed were systematically searched and checked for studies using LAMP for detecting mycoplasma pneumoniae. We used PCR as a reference standard to evaluate the quality of the studies eligible for inclusion in the meta-analysis. Then, the data from the studies were extracted by two independent assessors. Meta-DiSc 1.4 software was utilized to test the heterogeneity of sensitivity (SEN), specificity (SP), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnosis odds ratio (DOR). The pooled analysis results were plotted, and the summary receiver operating characteristic (SROC) curve was plotted by calculating the area under the curve (AUC). Generated pooled summary estimates (95% CIs) were calculated for the overall accuracy, and a bivariate meta-regression model was used for the meta-analysis. Results Seven studies with nine fourfold tables were included in this meta-analysis. The pooled SEN and SPE for diagnosing Mycoplasma pneumoniae were 0.90 (95% CI: 0.87–0.93) and 0.98 (95% CI: 0.96–0.99), respectively. The PLR was 31.25 (95% CI: 14.83–65.87), NLR 0.10 (95% CI: 0.05–0.22), DOR 399.32 (95% CI: 172.01–927.00), and AUC 0.9892. Conclusions In conclusion, compared with PCR, LAMP is a valuable alternative method for Mycoplasma pneumoniae diagnosis in clinic with high sensitivity and specificity. However, more evidence is required to confirm that LAMP can fully replace other methods in the clinical diagnosis of MP.

Aims Rheumatoid arthritis (RA), which mainly results from fibroblast-like synoviocyte (FLS) dysfunction, is related to oxidative stress. Advanced oxidation protein products (AOPPs), which are proinflammatory mediators and a novel biomarker of oxidative stress, have been observed to accumulate significantly in the serum of RA patients. Here, we present the first investigation of the effects of AOPPs on RA-FLSs and the signalling pathway involved in AOPP-induced inflammatory responses and invasive behaviour. Methods We used different concentrations of AOPPs (50 to 200 µg/ml) to treat RA-FLSs. Cell migration and invasion and the expression levels of tumour necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), matrix metalloproteinase-3 (MMP-3), and MMP-13 were investigated. Western blot and immunofluorescence were used to analyze nuclear factor-κB (NF-κB) activation. Results AOPPs promoted RA-FLS migration and invasion in vitro and significantly induced the messenger RNA (mRNA) and protein expression of TNF-α, IL-6, MMP-3, and MMP-13 in dose- and time-dependent manners. Moreover, AOPPs markedly activated the phosphorylation of nuclear factor-κB (NF-κB) p65 protein, which triggered inhibitory kappa B-alpha (IκBα) degradation, NF-κB p65 protein phosphorylation, and NF-κB p65 translocation into the nucleus. Furthermore, treatment with a neutralizing antibody specific to receptor for advanced glycation end products (RAGE) significantly suppressed aggressive behaviour and inflammation, decreased TNF-α, IL-6, MMP-3, and MMP-13 expression, and blocked AOPP-induced NF-κB pathway activation. Conclusion The results indicate that AOPPs can enhance aggressive behaviour and the inflammatory response in RA-FLSs via the RAGE–NF-κB pathway. These results present AOPPs as a new class of potentially important mediators of progressive disease in RA patients. Cite this article: Bone Joint Res 2021;10(4):259–268.

No abstract

Acute myeloid leukemia (AML) is a heterogeneous hematopoietic malignancy originated from leukemia stem cells (LSC). Emerging evidence suggests T-cell immunoglobulin mucin-3(Tim3) as surface marker for LSC. However, the clinical significance and biology of Tim-3 in AML remain to be determined, especially those LSCs. In public AML databases as well as our data, we separated AML patients into Tim-3 high and Tim-3 low subsets using the X-tile software and evaluated the associations between Tim-3 and overall survival (OS) and disease-free survival (DFS). The Cancer Genome Atlas (TCGA) cohort revealed that high Tim-3 expression in leukemic cells was linked with poor prognosis (DFS: p = 0.018; OS: p = 0.041). Furthermore, multiple regression analysis shows that Tim-3 was an independent factor for the prognosis (HR = 2.26, 95% CI = 1.15-4.44, p = 0.017).Validation cohort of public gene expression omnibus (GEO) confirmed that Tim-3 was a prognostic candidate in AML. Besides, in our internal cohort, we also confirmed that over expression of Tim-3 protein in LSC/LPC made poor prognosis in AML. Additionally, we revealed that the LSC markers AKR1C3, CD34, and MMRN1 were upregulated in the Tim-3 high group of TCGA. We found that the upregulated genes in the Tim-3 high group were mainly enriched in immune response, cytokine binding and cell adhesion molecules, and JAK-STAT signaling pathway, by gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Collectively, we revealed that, for the first time, upregulation of Tim-3 in LSCs at the level of gene and protein expression is associated with poor prognosis and the important biological feature of Tim-3 of LSC in AML.

The IKZF1 gene codes the transcription factor IKAROS with key regulatory functions in lymphopoiesis. Recurrent focal IKZF1 deletions (IKZF1 del), which affects the coding regions of IKZF1, have been identified as poor outcome in 30-40% adult B-ALL. Loss of IKAROS confer stem cell-like phenotype, upregulation of self-renewal capacity and cell-adhesion molecules, and TKI resistance. However, there are not specifically therapeutic options for IKZF1 del ALL and current protocols could not abrogate the adverse effect of IKZF1 del.Considering that IKAROS acts as a key component of the nucleosome remodeling and deacetylation (NuRD) complex engaging in development and metabolism, we speculate that epigenetic drugs, such as HDACi, might play a potent role in IKZF1 del high-risk B-ALL. Firstly, B-ALL cell lines (IKZF1 del: MUTZ-5, MHH-CALL-4; IKZF1 wt: NALM6) and primary patient samples (n=10, 5 with IKZF1 del and 5 with IKZF1 wt) were treated with different HDACi, including valproic acid, vorinostat, romidepsin, RGFP966 and a novel HDAC-selective inhibitor tucidinostat. But noteworthily, only tucidinostat yielded specific and selective proliferation inhibition in IKZF1 del cell line(IC 50=1.377±0.05) and IKZF1 del patients samples (IC 50=2.318±0.07), compared with the effect on IKZF1 wt cells. Interestingly, tucidinostat induced remarked increase of mRNA and protein of IKZF1 expression in leukemia bulk and IKZF1 del single cell. Seahorse metabolic flux assay, lactate and ATP measurements was performed and revealed that tucidinostat treatment reduced glycolysis (P=0.0067), lactic acid (P＜0.0001) and ATP level (P＜0.0001) in IKZF1 del B-ALL cell lines. To verify metabolic change is depend on IKZF1 induction or not,dominant-negative Ikaros isoform 6 (DN-IK6), deletion of exons 4-7, was transfected into IKZF1 wt Nalm-6 cell line to negative regulate of IKZF1 wide-type expression. Overexpression of DN-IK6 in Nalm-6, increases sensitivity to tucidinostat, glycolytic capacity(p=0.05) and glycolytic reserve (p=0.012) also increases. While tucidinostat treating with the IK6-Nalm-6, tucidinostat would restore the transcriptional repressor function of the remaining wild-type IKZF1 allele and decrease glycolytic capacity(p=0.011) and glycolytic reserve(p=0.014). Notably, the metabolic rate-limiting enzymes HK2 and PKM2 were strongly repressed. These data indicate that tucidinostat reverses the metabolic reprogramming of glycolysis or Warburg effect in IKZF1 del B-ALL in an IKZF1-inducing dependent manner. For in vivo study, PDX model with immunodeficient NOD/SCID/IL2Rgnull mice were injected with heavily-treated refractory/relapsed IKZF1 del B-ALL patient samples (n=2) and treated with tucidinostat with different dosage of 5-12.5mg/kg/day. Administration of tucidinostat observed IKAROS expression trajectory and resulted in prolonged animal survival in IKZF1 del B-ALL PDX model（P＜0.0001). Secondary transplantation of ALL cells from tucidinostat or vehicle-treated (1 x10 6) recipients revealed significantly improved survival in tucidinostat -treated group (p= 0.0235). These results indicate that tucidinostat treatment might elimination leukemia-initiating cells.Additionally, to profile the IKZF1 del B-ALL chromatin accessibility changes after tucidinostat-treatment. We performed ATAC-seq and observed a clear increase in accessibility at TCA cycle related gene and decrease in accessibility at glycolysis related gene.Furthermore, tucidinostat, formerly known as chidamide, was added to an open-label, one-arm PDT-Ph-like-ALL trial targeting adult Ph-like ALL, which is characterized with high frequency in IKZF1 deletions (Clinicaltrials.gov. NCT03564470). Preliminary data of PDT-Ph-like-ALL indicate that tucidinostat was effective and well-tolerated, yielded promising response in IKZF1 del Ph-like ALL (ASH2018, poster 4011; EHA 2019, PF181). Collectively, our study demonstrates that the novel HDAC-selective inhibitor, tucidinostat, could specifically target IKZF1 del high-risk B-ALL, by restoring the IKZF1 expression, resulting in attenuation of proliferation, reverse the Warburg effect and improvement of the survival in PDX model and preliminary data in clinical trial. These findings provide mechanistic insights and a promising therapeutic strategy for IKZF1 haploinsufficiency alterations B-ALL patients. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Early T-cell precursor (ETP) lymphoblastic leukemia/lymphoma is a high-risk T lymphoblastic leukemia/lymphoma (T-ALL/LBL) subgroup. We performed a real-world multicenter study to explore the clinical characteristics and prognosis of adolescent and young adults (AYA) and older adult ETP leukemia/lymphoma. A total of 103 patients with ETP-ALL/LBL in five centers in China between January 2016 and February 2021 were included in this study. The median age was 29 years (range, 15–70 years). Next-generation sequencing was performed in 94 patients and revealed that NOTCH1 (35.1%, 33 cases) was the most frequently mutated gene, followed by JAK3 (16.0%, 15 cases), PHF6 (13.80%, 13 cases) and EZH2 (11.70%, 11 cases). Complete remission (CR) was obtained in 74.2% (72/97) of patients, and 6 relapsed/refractory patients received a decitabine combined with AAG priming regimen as reinduction therapy with a CR rate of 50%. With a median follow-up of 18 months (0.5–60 months), the 2-year overall survival (OS) and relapse-free survival (RFS) rates for the entire cohort were 54% and 57.7%, respectively. Allogeneic stem cell transplantation (allo-SCT) was performed in 59.8% (58/97) of patients. After landmark analysis at 6 months, the 2-year OS rates was 77% of patients with allo-SCT at CR1 and 25% of patients with chemotherapy alone (p < 0.001). A multivariate analysis suggested that allo-SCT and CR after the first course induction were independent prognostic factors for OS. Collectively, we reported the largest cohort study with AYA and older adult ETP-ALL/LBL, and we found that ETP-ALL/LBL was highly invasive and had a poor long-term prognosis. Allo-SCT could significantly improve ETP-ALL/LBL patient survival.

No abstract

The diagnosis of central lymph node metastasis (CLNM) is very important for the treatment of papillary thyroid carcinoma (PTC), which remains highly subjective and depends on clinical experience. Traditional method based on radiomics tumor feature (RTF) extraction and classifications has its shortages to predict the CLNM and increase the possibility of over-diagnosis and over-treatment leading for PTC. In this paper, a convolutional neural network (CNN) based fusion modeling method is proposed for predictions of CLNM in ultrasound-negative patients with PTC. A CNN and a RTF extraction based random forest (RF) classifier are trained on the context image patches and tumor image patches, and the probability outputs from these two models are combined for predicting the CLNM. It is validated that the proposed method has better diagnostic performance than the conventional method on the test set. The area under the curve (AUC), accuracy, sensitivity, and specificity of the method in predicting CLNM are 0.9228, 83.09%, 86.17%, and 81.46%, respectively. It has the prospect to apply to diagnose ultrasound (US) images with the machine-learning diagnostic system.