Monitoring response to neoadjuvant therapy for breast cancer in all treatment phases using an ultrasound deep learning model.

Purpose: The aim of this study was to investigate the value of a deep learning model (DLM) based on breast tumor ultrasound image segmentation in predicting pathological response to neoadjuvant chemotherapy (NAC) in breast cancer. Methods: The dataset contains a total of 1393 ultrasound images of 913 patients from Renmin Hospital of Wuhan University, of which 956 ultrasound images of 856 patients were used as the training set, and 437 ultrasound images of 57 patients underwent NAC were used as the test set. A U-Net-based end-to-end DLM was developed for automatically tumor segmentation and area calculation. The predictive abilities of the DLM, manual segmentation model (MSM), and two traditional ultrasound measurement methods (longest axis model [LAM] and dual-axis model [DAM]) for pathological complete response (pCR) were compared using changes in tumor size ratios to develop receiver operating characteristic curves. Results: The average intersection over union value of the DLM was 0.856. The early-stage ultrasound-predicted area under curve (AUC) values of pCR were not significantly different from those of the intermediate and late stages (p< 0.05). The AUCs for MSM, DLM, LAM and DAM were 0.840, 0.756, 0.778 and 0.796, respectively. There was no significant difference in AUC values of the predictive ability of the four models. Conclusion: Ultrasonography was predictive of pCR in the early stages of NAC. DLM have a similar predictive value to conventional ultrasound for pCR, with an add benefit in effectively improving workflow.

Specific intracellular retention of circSKA3 promotes colorectal cancer metastasis by attenuating ubiquitination and degradation of SLUG.

Our previous study demonstrated that tumor-suppressor circular RNAs (circRNAs) can be specifically secreted outside of colorectal cancer (CRC) cells within exosomes to maintain tumor cell fitness. However, whether tumor-driving circRNAs can be specifically retained in cells to facilitate tumor progression remains unknown. In this study, circRNA-seq showed that circSKA3 was significantly upregulated in CRC tissues but downregulated in serum samples from CRC patients. In addition, circSKA3 promoted CRC progression in vitro and in vivo and was retained in CRC cells via a specific cellmotif element. Interestingly, the cellmotif element was also the site of interaction of circSKA3 with SLUG, which inhibited SLUG ubiquitination degradation and promoted CRC epithelial-mesenchymal transition (EMT). Moreover, FUS was identified as a key circularization regulator of circSKA3 that bound to the key element. Finally, we designed and synthesized specific antisense oligonucleotides (ASOs) targeting circularization and cellmotif elements, which repressed circSKA3 expression, abolished the SLUG-circSKA3 interaction, and further inhibited CRC EMT and metastasis in vitro and in vivo.

Predicting life span of type 2 diabetes patients through alkaline phosphatase and vitamin D: Results from NHANES 1999-2018.

BACKGROUND AND AIMS: Disparities in serum biomarker levels related to mortality persist within the US diabetic population. We conducted a study to explore the impact of alkaline phosphatase (ALP) on all-cause mortality and cardiovascular disease (CVD) mortality in type 2 diabetes patients. METHODS: We analyzed a nationally representative sample of individuals aged 20 years and above from the National Health and Nutrition Examination Survey (NHANES) conducted in the United States between 1999 and 2018. Baseline demographic information and biochemical markers, including blood glucose, γ-glutamyltranspeptidase, vitamin D and albumin, were collected. Participants were divided into four groups based on ALP levels and linked to the National Death Index to assess mortality. Follow-up continued until December 2019, and multiple mediation analyses were performed to assess the combined impact of different indicators on ALP differences in all-cause mortality and cardiovascular mortality risk. RESULTS: Our analysis included 6481 NHANES participants, categorized as follows: 1626 (21.9%) had ALP levels below 58 U/L, 1674 in the second quartile (58-72 U/L), 1569 in the third quartile (72-88.3 U/L), and 1612 in the fourth quartile (above 88.3U/L). Significantly higher all-cause mortality and cardiovascular mortality rates were observed among participants in the 4th ALP quartile compared to other levels. The all-cause mortality rate was 38.06 per 1000 person-years (95% CI 34.89-41.51), and the cardiovascular mortality rate was 10.67 (9.06-12.57). Mediation analysis indicated that Vitamin D and albumin played a mediating role in the association between all-cause mortality, cardiovascular mortality, and ALP levels, with mediation proportions ranging from 10.33% to 27.64%. CONCLUSIONS: Our study suggests that ALP levels have clinical value in predicting all-cause and CVD mortality risk in T2DM patients. The upregulation of Vitamin D and albumin might play a significant role in improving risk prediction and enable targeted interventions for reducing mortality risk in this population.

Corrigendum: Deep sequencing of plasma exosomal microRNA level in psoriasis vulgaris patients.

[This corrects the article DOI: 10.3389/fmed.2022.895564.].

AMER1 deficiency promotes the distant metastasis of colorectal cancer by inhibiting SLC7A11- and FTL-mediated ferroptosis.

The crosstalk between ferroptosis and cancer metastasis remains unclear. Here, we identify AMER1 as a key regulator of ferroptosis. AMER1 loss causes resistance to ferroptosis in colorectal cancer (CRC) cells. Interestingly, AMER1-deficient CRC cells preferentially form distant metastases, while AMER1-naive CRC cells mainly invade lymph nodes. Moreover, the ferroptosis inhibitor liproxstatin-1 effectively promotes hematogenous transfer of AMER1-naive cells. Mechanistically, AMER1 binds to SLC7A11 and ferritin light chain (FTL) and recruits ß-TrCP1/2, which degrade SLC7A11 and FTL by ubiquitination. Therefore, AMER1 deficiency increases cellular cystine levels but decreases the pool of labile free iron, thereby enhancing resistance to ferroptosis in CRC cells. Thus, AMER1 deficiency increases the survival of CRC cells in the blood under conditions of high oxidative stress and then promotes hematogenous metastasis of CRC. In conclusion, AMER1 mediates the crosstalk between ferroptosis and cancer metastasis, which provides a window of opportunity for treating metastatic colorectal cancer patients with AMER1 mutations.

Potential biomarkers for psoriasis topical treatment by in-depth serum proteomics.

BACKGROUND: Psoriasis is a chronic skin disease, and topical sequential therapy with a combination of calcipotriol and calcipotriol betamethasone is currently approved topical treatment. However, the exact mechanism by which this treatment regimen relieves psoriasis is unknown. METHOD: We assembled a cohort of 65 psoriasis patients and divided post-treatment cohort into responder group and non-responder group according to the Psoriasis Area Severity Index (PASI) score after 12-week treatment. We measured the expression levels of proteins in collected 130 serum samples using our in-depth proteomics platform with a data-independent acquisition mass spectrometer and antibody microarray. We performed bioinformatics analyses of the biologic processes and signaling pathways that were changed in the responder group and constructed a proteomics landscape of psoriasis pathogenesis response to treatment. We then validated the biomarkers of disease severity in an independent cohort of 88 samples using an enzyme-linked immunosorbent assay. RESULTS: We first identified 174 differentially expressed proteins (DEPs) for comparative analysis of proteins between responders and non-responders at baseline (p < 0.05). Then pathway analysis showed that the responders focused more on signaling molecules and interaction, complement and coagulation cascades, whereas the non-responders more on signal transduction and IL-17 signaling pathways. We further identified four candidate biomarkers (COLEC11, C1QA, BNC2, ITIH4) response to treatment. We also found 125 DEPs (p < 0.05) after treatment compared with before treatment in responder group. Pathway analysis showed an enrichment in pathways related to complement and coagulation cascades, phagosome, ECM-receptor interaction, cholesterol metabolism, vitamin digestion and absorption. CD14 was validated as potential biomarkers for the disease severity of psoriasis and treatment targets. CONCLUSION: In this work, we analyzed the response to topical sequential therapy and finally identified four biomarkers. Additionally, we found that topical sequential therapy may alleviate psoriasis by regulating lipid metabolism and modulating the immune response by affecting the complement activation process.

Multi-omics approach identifies PI3 as a biomarker for disease severity and hyper-keratinization in psoriasis.

BACKGROUND: Psoriasis is an immune-mediated inflammatory skin disease. Psoriasis severity evaluation is important for clinicians in the assessment of disease severity and subsequent clinical decision making. However, no objective biomarker is available for accurately evaluating disease severity in psoriasis. OBJECTIVE: To define and compare biomarkers of disease severity and progression in psoriatic skin. METHODS: We performed proteome profiling to study the proteins circulating in the serum from patients with psoriasis, psoriatic arthritis and ankylosing spondylitis, and transcriptome sequencing to investigate the gene expression in skin from the same cohort. We then used machine learning approaches to evaluate different biomarker candidates across several independent cohorts. In order to reveal the cell-type specificity of different biomarkers, we also analyzed a single-cell dataset of skin samples. In-situ staining was applied for the validation of biomarker expression. RESULTS: We identified that the peptidase inhibitor 3 (PI3) was significantly correlated with the corresponding local skin gene expression, and was associated with disease severity. We applied machine learning methods to confirm that PI3 was an effective psoriasis classifier, Finally, we validated PI3 as psoriasis biomarker using in-situ staining and public datasets. Single-cell data and in-situ staining indicated that PI3 was specifically highly expressed in keratinocytes from psoriatic lesions. CONCLUSION: Our results suggest that PI3 may be a psoriasis-specific biomarker for disease severity and hyper-keratinization.

Efficacy, cardiotoxicity and factors affecting pathologic complete response of neoadjuvant chemotherapy with anthracycline-containing verses anthracycline-free regimens plus dual HER2 blockade for HER2-positive early-stage breast cancer: a retrospective study.

Background: The aim of this study was to compare the efficacy, cardiotoxicity and factors affecting pathologic complete response (pCR) of neoadjuvant chemotherapy (NACT) regimen TCbHP (docetaxel/nab-paclitaxel, carboplatin, trastuzumab and pertuzumab) and AC-THP (doxorubicin, cyclophosphamide followed by docetaxel/nab-paclitaxel, trastuzumab and pertuzumab) for human epidermal growth factor receptor 2-positive (HER2+) early-stage breast cancer at a retrospective cohort. Methods: This retrospective study included the patients with HER2+ early-stage breast cancer who received NACT with the regimen TCbHP or AC-THP and then underwent surgery from 2019 to 2022. pCR rate and breast-conserving rate were calculated to evaluate the efficacy of the regimens. Left ventricular ejection fraction (LVEF) from echocardiograms and abnormal electrocardiographs (ECGs) were collected to evaluate the cardiotoxicity of the two regimens. Association between the characteristics of the breast cancer lesions by magnetic resonance imaging (MRI) and the pCR rate were also explored. Results: A total of 159 patients were enrolled, including 48 patients in the AC-THP group and 111 patients in the TCbHP group. The pCR rate of the TCbHP group 64.0% (71/111) was significantly higher than that of for the the AC-THP group 37.5% (18/48) (P=0.002). Estrogen receptor (ER) status (P=0.011, OR: 0.437, 95% CI: 0.231-0.829), progesterone receptor (PR) status (P=0.001, OR: 0.309, 95% CI: 0.157-0.608) and IHC HER2 status (P=0.003, OR: 7.167, 95% CI: 1.970-26.076) were significantly correlated with the pCR rate. LVEF decreased at 6 and 12 months after treatment in the AC-THP group (P=0.024 and 0.040), which only decreased after 6 months of treatment in the TCbHP group (P=0.048). Post-NACT MRI characteristics including mass features (P<0.001) and enhancement type (P<0.001) were significantly associated with pCR rate. Conclusions: Early-stage HER2+ breast cancer treated with the TCbHP regimen has a higher pCR rate than the AC-THP group. The TCbHP regimen appears to have lower cardiotoxicity than the AC-THP regimen in terms of LVEF. Mass features and enhancement type at post-NACT MRI significantly associated with the pCR rate of breast cancer patients.

LFQ-Based Peptide and Protein Intensity Differential Expression Analysis.

Testing for significant differences in quantities at the protein level is a common goal of many LFQ-based mass spectrometry proteomics experiments. Starting from a table of protein and/or peptide quantities from a given proteomics quantification software, many tools and R packages exist to perform the final tasks of imputation, summarization, normalization, and statistical testing. To evaluate the effects of packages and settings in their substeps on the final list of significant proteins, we studied several packages on three public data sets with known expected protein fold changes. We found that the results between packages and even across different parameters of the same package can vary significantly. In addition to usability aspects and feature/compatibility lists of different packages, this paper highlights sensitivity and specificity trade-offs that come with specific packages and settings.

An immunometabolism subtyping system identifies S100A9+ macrophage as an immune therapeutic target in colorectal cancer based on multiomics analysis.

Immunometabolism in the tumor microenvironment (TME) and its influence on the immunotherapy response remain uncertain in colorectal cancer (CRC). We perform immunometabolism subtyping (IMS) on CRC patients in the training and validation cohorts. Three IMS subtypes of CRC, namely, C1, C2, and C3, are identified with distinct immune phenotypes and metabolic properties. The C3 subtype exhibits the poorest prognosis in both the training cohort and the in-house validation cohort. The single-cell transcriptome reveals that a S100A9+ macrophage population contributes to the immunosuppressive TME in C3. The dysfunctional immunotherapy response in the C3 subtype can be reversed by combination treatment with PD-1 blockade and an S100A9 inhibitor tasquinimod. Taken together, we develop an IMS system and identify an immune tolerant C3 subtype that exhibits the poorest prognosis. A multiomics-guided combination strategy by PD-1 blockade and tasquinimod improves responses to immunotherapy by depleting S100A9+ macrophages in vivo.

Synthetic Antibacterial Quaternary Phosphorus Salts Promote Methicillin-Resistant Staphylococcus aureus-Infected Wound Healing.

Background: Drug-resistant microbes pose a global health concern, requiring the urgent development of effective antibacterial agents and strategies in clinical practice. Therefore, there is an urgent need to explore novel antibacterial materials to effectively eliminate bacteria. The synthesis of quaternary phosphonium salt in haloargentate systems, wherein the phosphorus atom is represented in a cationic form, is a possible strategy for the development of antibacterial materials. Methods: Using (triphenyl)phosphonium-based quaternary phosphorus salts with different spacer lengths (n=2, 4, 6) as a template, we designed three kinds of quaternary phosphorus salts as effective antibacterial agents against drug-resistant bacteria. Results: The synthesized quaternary phosphorus salt of (1,4-DBTPP)Br2 effectively prevented the formation of the bacterial biofilms, and degraded bacterial membranes and cell walls by promoting the production of reactive oxygen species, which exhibited effective therapeutic effects in a rat model of a superficial wound infected with methicillin-resistant Staphylococcus aureus. Conclusion: The quaternary phosphorus salt (1,4-DBTPP)Br2 demonstrated hemocompatibility and low toxicity, revealing its potential in the treatment of clinical infections.

Celastrol inhibits store operated calcium entry and suppresses psoriasis.

Introduction: Psoriasis is an inflammatory autoimmune skin disease that is hard to cure and prone to relapse. Currently available global immunosuppressive agents for psoriasis may cause severe side effects, thus it is crucial to identify new therapeutic reagents and druggable signaling pathways for psoriasis. Methods: To check the effects of SOCE inhibitors on psoriasis, we used animal models, biochemical approaches, together with various imaging techniques, including calcium, confocal and FRET imaging. Results and discussion: Store operated calcium (Ca2+) entry (SOCE), mediated by STIM1 and Orai1, is crucial for the function of keratinocytes and immune cells, the two major players in psoriasis. Here we showed that a natural compound celastrol is a novel SOCE inhibitor, and it ameliorated the skin lesion and reduced PASI scores in imiquimod-induced psoriasis-like mice. Celastrol dose- and time-dependently inhibited SOCE in HEK cells and HaCaT cells, a keratinocyte cell line. Mechanistically, celastrol inhibited SOCE via its actions both on STIM1 and Orai1. It inhibited Ca2+ entry through constitutively-active Orai1 mutants independent of STIM1. Rather than blocking the conformational switch and oligomerization of STIM1 during SOCE activation, celastrol diminished the transition from oligomerized STIM1 into aggregates, thus locking STIM1 in a partially active state. As a result, it abolished the functional coupling between STIM1 and Orai1, diminishing SOCE signals. Overall, our findings identified a new SOCE inhibitor celastrol that suppresses psoriasis, suggesting that SOCE pathway may serve as a new druggable target for treating psoriasis.

Multi-omics integration reveals a core network involved in host defence and hyperkeratinization in psoriasis.

OBJECTIVES: The precise pathogenesis of psoriasis remains incompletely explored. We aimed to better understand the underlying mechanisms of psoriasis, using a systems biology approach based on transcriptomics and microbiome profiling. METHODS: We collected the skin tissue biopsies and swabs in both lesional and non-lesional skin of 13 patients with psoriasis, 15 patients with psoriatic arthritis and healthy skin from 12 patients with ankylosing spondylitis. To study the similarities and differences in the molecular profiles between these three conditions, and the associations between the host defence and microbiota composition, we performed high-throughput RNA-sequencing to quantify the gene expression profile in tissues. The metagenomic composition of 16S on local skin sites was quantified by clustering amplicon sequences and counted into operational taxonomic units. We further analysed associations between the transcriptome and microbiome profiling. RESULTS: We found that lesional and non-lesional samples were remarkably different in terms of their transcriptome profiles. The functional annotation of differentially expressed genes showed a major enrichment in neutrophil activation. By using co-expression gene networks, we identified a gene module that was associated with local psoriasis severity at the site of biopsy. From this module, we found a 'core' set of genes that was functionally involved in neutrophil activation, epidermal cell differentiation and response to bacteria. Skin microbiome analysis revealed that the abundances of Enhydrobacter, Micrococcus and Leptotrichia were significantly correlated with the genes in core network. CONCLUSIONS: We identified a core gene network that associated with local disease severity and microbiome composition, involved in the inflammation and hyperkeratinization in psoriatic skin.

A Study on Hot Stamping Formability of Continuous Glass Fiber Reinforced Thermoplastic Composites.

In this study, hot stamping tests on continuous glass fiber (GF)-reinforced thermoplastic (PP) composites were conducted under different process parameters using a self-designed hemispherical hot stamping die with a heating system. The effects of parameters such as preheating temperature, stamping depth, and stamping speed on the formability of the fabricated parts were analyzed using optical microscopy and scanning electron microscopy (SEM). The test results show that the suitable stamping depth should be less than 15 mm, the stamping speed should be less than 150 mm/min, and the preheating temperature should be about 200 °C. From the edge of the formed parts to their pole area, a thin-thick-thin characteristic in thickness was observed. Under the same preheating temperature, the influence of stamping depth on the thickness variation of the formed parts was more significant than the stamping speed. The primary defects of the formed parts were cracking, wrinkling, delamination, and fiber exposure. Resin poverty often occurred in the defect area of the formed parts and increased with stamping depth and stamping speed.

Association of the characteristics of the blood metabolome and gut microbiome with the outcome of methotrexate therapy in psoriasis.

Metabolic status and gut microecology are implicated in psoriasis. Methotrexate (MTX) is usually the first-line treatment for this disease. However, the relationship between MTX and host metabolic status and the gut microbiota is unclear. This study aimed to characterize the features of blood metabolome and gut microbiome in patients with psoriasis after treatment with MTX. Serum and stool samples were collected from 15 patients with psoriasis. Untargeted liquid chromatography-mass spectrometry and metagenomics sequencing were applied to profile the blood metabolome and gut microbiome, respectively. We found that the response to MTX varied according to metabolomic and metagenomic features at baseline; for example, patients who had high levels of serum nutrient molecular and more enriched gut microbiota had a poor response. After 16 weeks of MTX, we observed a reduction in microbial activity pathways, and patients with a good response showed more microbial activity and less biosynthesis of serum fatty acid. We also found an association between the serum metabolome and the gut microbiome before intervention with MTX. Carbohydrate metabolism, transporter systems, and protein synthesis within microbes were associated with host metabolic clusters of lipids, benzenoids, and organic acids. These findings suggest that the metabolic status of the blood and the gut microbiome is involved in the effectiveness of MTX in psoriasis, and that inhibition of symbiotic intestinal microbiota may be one of the mechanisms of action of MTX. Prospective studies in larger sample sizes are needed to confirm these findings.

The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients.

Early evidence indicated that cancer patients are at increased risk of adverse outcomes and mortality after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. To determine the putative mechanism by which SARS-CoV-2 affects patients with cancers, we conducted a preliminary exploration at the molecular level. We collected differentially expressed proteins (DEPs) in the lung, liver, kidney, and thyroid of postmortem coronavirus disease 2019 (COVID-19) and non-COVID-19 patients from iProX database. Furthermore, we collected differentially expressed genes (DEGs) related to overall survival (OS) in lung cancer, liver cancer, kidney cancer and thyroid cancer based on the Cancer Genome Atlas (TCGA) database. We obtained the intersection of DEPs and DEGs and identified the roles of shared and remaining DEPs in corresponding cancers based on published research. Finally, we found 192, 179, 154 and 147 DEPs in lung, liver, kidney and thyroid tissues and 486, 1140, 2245 and 31 DEGs related to OS in lung cancer, liver cancer, kidney cancer and thyroid cancer, respectively. 4, 8, 6 and 0 shared genes/proteins and 48, 42, 14 and 10 remaining proteins were verified to play a role in lung cancer, liver cancer, kidney cancer and thyroid cancer, respectively. Changes in 85% (44/52), 78% (39/50), 80% (16/20) and 90% (9/10) of the verified genes/proteins, including shared and remaining genes, showed poor effects on patients with the 4 cancer types with COVID-19. In conclusion, the changes in genes/proteins caused by SARS-CoV-2 might dictate the different degrees of adverse outcomes in patients with different tumors.

Astaxanthin Activated the Nrf2/HO-1 Pathway to Enhance Autophagy and Inhibit Ferroptosis, Ameliorating Acetaminophen-Induced Liver Injury.

Acetaminophen (APAP)-induced liver injury (AILI) is a common liver disease in clinical practice. Only one clinically approved drug, N-acetylcysteine (NAC), for the treatment of AILI is available in clinics, but novel treatment strategies are still needed due to the complicated pathological changes of AILI and the side effects of NAC. Here, we found that astaxanthin (ASX) can prevent AILI through the Nrf2/HO-1 pathway. After treatment with ASX, there was a positive activation of the Nrf2/HO-1 pathway in AILI models both in vivo and in vitro accompanied by enhanced autophagy and reduced ferroptosis. In APAP-challenged L02 liver cells, ASX reduced autophagy and enhanced apoptosis of the cells. Furthermore, we developed ASX-loaded hollow mesoporous silica nanoparticles (HMSN@ASX) to improve the aqueous solubility of ASX and targeted delivery of ASX to the liver and then significantly improve the therapeutic effects. Taken together, we found that ASX can protect against AILI by activating the Nrf2/HO-1 pathway, which mainly affects oxidative stress, autophagy, and ferroptosis processes, and the HMSN@ASX nanosystem can target the liver to enhance the treatment efficiency of AILI.

Intra-bone marrow injection of magnesium isoglyrrhizinate inhibits inflammation and delays osteoarthritis progression through the NF-κB pathway.

OBJECTIVE: Osteoarthritis (OA) presents cartilage damage in addition to chronic inflammation. However, self-recovery of damaged cartilage in an inflammatory environment is not possible. Mesenchymal stem cells (MSCs) in the bone marrow are a source of regenerative repair of damaged cartilage. To date, whether intra-luminal administration of the bone marrow can delay the progression of OA is still unknown. This study, therefore, aimed to explore the role of intra-bone marrow injection of Magnesium isoglycyrrhizinate (MgIG) in delaying the OA progression and to investigate the underlying mechanism. METHODS: Rabbit OA models were established using the anterior cruciate ligament transection method while a catheter was implanted into the bone marrow cavity. 1 week after surgery, MgIG treatment was started once a week for 4 weeks. The cartilage degradation was analyzed using hematoxylin-eosin staining, Masson's trichrome staining and Alcian blue staining. Additionally, the pro-inflammatory factors and cartilage regeneration genes involved in the cartilage degeneration and the underlying mechanisms in OA were detected using enzyme-linked immunosorbent assay, quantitative real-time PCR (qRT-PCR) and Western blotting. RESULTS: The results of histological staining revealed that intra-bone marrow injection of MgIG reduced degeneration and erosion of articular cartilage, substantially reducing the Osteoarthritis Research Society International scores. Furthermore, the productions of inflammatory cytokines in the bone marrow cavity and articular cavity such as interleukin-1ß(IL-1ß), IL-6, and tumor necrosis factor-α (TNF-α) were inhibited upon the treatment of MgIG. At the same time, the expression of alkaline phosphate, tartrate-resistant acid phosphatase-5b (TRAP-5b) and C-telopeptides of type II collagen (CTX-II) in the blood also decreased and was positively correlated. On the contrary, cartilage-related genes in the bone marrow cavity such as type II collagen (Col II), Aggrecan (AGN), and SRY-box 9 (SOX9) were up-regulated, while matrix metalloproteinase-3 (MMP-3) was down-regulated. Mechanistically, MgIG was found to exert an anti-inflammatory effect and impart protection to the cartilage by inhibiting the NF-κB pathway. CONCLUSION: Intra-bone marrow injection of MgIG might inhibit the activation of the NF-κB pathway in the progression of OA to exert an anti-inflammatory effect in the bone marrow cavity and articular cavity, thereby promoting cartilage regeneration of MSCs in the bone marrow, making it a potential new therapeutic intervention for the treatment of OA.

Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach.

Psoriasis is a chronic inflammatory skin disorder. Although it has been studied extensively, the molecular mechanisms driving the disease remain unclear. In this study, we utilized a tree-based machine learning approach to explore the gene regulatory networks underlying psoriasis. We then validated the regulators and their networks in an independent cohort. We identified some key regulators of psoriasis, which are candidates to serve as potential drug targets and disease severity biomarkers. According to the gene regulatory network that we identified, we suggest that interferon signaling represents a key pathway of psoriatic inflammation.

Deep Sequencing of Plasma Exosomal microRNA Level in Psoriasis Vulgaris Patients.

Psoriasis is a chronic skin disease affecting 1% to 3% of the world population. Psoriasis vulgaris (PV) is the most common form of psoriasis. PV patients suffer from inflamed, pruritic and painful lesions for years (even a lifetime). However, conventional drugs for PV are costly. Considering the need for long-term treatment of PV, it is urgent to discover novel biomarkers and therapeutic targets. Plasma exosomal miRNAs have been identified as the reliable biomarkers and therapy targets of human diseases. Here, we described the levels of serum exosomal miRNAs in PV patients and analyzed the functional features of differently expressed miRNAs and their potential target genes for the first time. We identified 1182 miRNAs including 336 novel miRNAs and 246 differently expressed miRNAs in serum exosomes of healthy people and PV patients. Furthermore, the functional analysis found differently expressed miRNA-regulated target genes enriched for specific GO terms including primary metabolic process, cellular metabolic process, metabolic process, organic substance metabolic process, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway containing cellular processes, human diseases, metabolic pathways, metabolism and organismal systems. In addition, we found that some predicted target genes of differentially expressed miRNAs, such as CREB1, RUNX2, EGFR, are both involved in inflammatory response and metabolism. In summary, our study identifies many candidate miRNAs involved in PV, which could provide potential biomarkers for diagnosis of PV and targets for clinical therapies against PV.