Anti-TL1A monoclonal antibody modulates the dysregulation of Th1/Th17 cells and attenuates granuloma formation in sarcoidosis by inhibiting the PI3K/AKT signaling pathway.

Sarcoidosis is a systemic granulomatous disease characterized by non-caseating epithelioid cell granulomas. One of its immunological hallmarks is the differentiation of CD4 + naïve T cells into Th1/Th17 cells, accompanied by the release of numerous pro-inflammatory cytokines. The TL1A/DR3 signaling pathway plays a crucial role in activating effector lymphocytes, thereby triggering pro-inflammatory responses. The primary aim of this investigation was to scrutinize the impact of anti-TL1A monoclonal antibody on the dysregulation of Th1/Th17 cells and granuloma formation in sarcoidosis. Initially, the abnormal activation of the TL1A/DR3 signaling pathway in pulmonary tissues of sarcoidosis patients was confirmed using qPCR and immunohistochemistry techniques. Subsequently, employing a murine model of sarcoidosis, the inhibitory effects of anti-TL1A monoclonal antibody on the TL1A/DR3 signaling pathway in sarcoidosis were investigated through qPCR, immunohistochemistry, and Western blot experiments. The influence of anti-TL1A monoclonal antibody on granulomas was assessed through HE staining, while their effects on sarcoidosis Th1/Th17 cells and associated cytokine mRNA levels were evaluated using flow cytometry and qPCR, respectively. Immunofluorescence and Western blot experiments corroborated the inhibitory effects of anti-TL1A monoclonal antibody on the aberrant activation of the PI3K/AKT signaling pathway in sarcoidosis. The findings of this study indicate that the TL1A/DR3 signaling pathway is excessively activated in sarcoidosis. Anti-TL1A monoclonal antibody effectively inhibit this abnormal activation in sarcoidosis, thereby alleviating the dysregulation of Th1/Th17 cells and reducing the formation of pulmonary granulomas. This effect may be associated with the inhibition of the downstream PI3K/AKT signaling pathway. Anti-TL1A monoclonal antibody hold promise as a potential novel therapeutic intervention for sarcoidosis.

The application of deep learning in abdominal trauma diagnosis by CT imaging.

BACKGROUND: Abdominal computed tomography (CT) scan is a crucial imaging modality for creating cross-sectional images of the abdominal area, particularly in cases of abdominal trauma, which is commonly encountered in traumatic injuries. However, interpreting CT images is a challenge, especially in emergency. Therefore, we developed a novel deep learning algorithm-based detection method for the initial screening of abdominal internal organ injuries. METHODS: We utilized a dataset provided by the Kaggle competition, comprising 3,147 patients, of which 855 were diagnosed with abdominal trauma, accounting for 27.16% of the total patient population. Following image data pre-processing, we employed a 2D semantic segmentation model to segment the images and constructed a 2.5D classification model to assess the probability of injury for each organ. Subsequently, we evaluated the algorithm's performance using 5k-fold cross-validation. RESULTS: With particularly noteworthy performance in detecting renal injury on abdominal CT scans, we achieved an acceptable accuracy of 0.932 (with a positive predictive value (PPV) of 0.888, negative predictive value (NPV) of 0.943, sensitivity of 0.887, and specificity of 0.944). Furthermore, the accuracy for liver injury detection was 0.873 (with PPV of 0.789, NPV of 0.895, sensitivity of 0.789, and specificity of 0.895), while for spleen injury, it was 0.771 (with PPV of 0.630, NPV of 0.814, sensitivity of 0.626, and specificity of 0.816). CONCLUSIONS: The deep learning model demonstrated the capability to identify multiple organ injuries simultaneously on CT scans and holds potential for application in preliminary screening and adjunctive diagnosis of trauma cases beyond abdominal injuries.

Inhibition of PI3K p110δ rebalanced Th17/Treg and reduced macrophages pyroptosis in LPS-induced sepsis.

Sepsis is a systemic inflammatory response syndrome caused by trauma or infection, which can lead to multiple organ dysfunction. In severe cases, sepsis can also progress to septic shock and even death. Effective treatments for sepsis are still under development. This study aimed to determine if targeting the PI3K/Akt signaling with CAL-101, a PI3K p110δ inhibitor, could alleviate lipopolysaccharide (LPS)-induced sepsis and contribute to immune tolerance. Our findings indicated that CAL-101 treatment improved survival rates and alleviated the progression of LPS-induced sepsis. Compared to antibiotics, CAL-101 not only restored the Th17/regulatory T cells (Treg) balance but also enhanced Treg cell function. Additionally, CAL-101 promoted type 2 macrophage (M2) polarization, inhibited TNF-α secretion, and increased IL-10 secretion. Moreover, CAL-101 treatment reduced pyroptosis in peritoneal macrophages by inhibiting caspase-1/gasdermin D (GSDMD) activation. This study provides a mechanistic basis for future clinical exploration of targeted therapeutics and immunomodulatory strategies in the treatment of sepsis.

Risk Factors for Granulomatous Mastitis and Establishment and Validation of a Clinical Prediction Model (Nomogram).

Background: This study aimed to explore the risk factors and clinical characteristics of granulomatous mastitis (GM) using a case-control study and establish and validate a clinical prediction model (nomogram). Methods: This retrospective case-control study was conducted in three hospitals in China from June 2017 to December 2021. A total of 1634 GM patients and 186 healthy women during the same period were included and randomly divided into the modeling and validation groups in a 7:3 ratio. To identify the independent risk factors of GM, univariate and multivariate logistic analyses were conducted and used to develop a nomogram. The prediction model was internally and externally validated using the Bootstrap technique and validation cohort. The receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the discrimination and calibration of the prediction model. Decision curve analysis (DCA) and clinical impact curve (CIC) were used to evaluate the clinical significance of the model. Results: The average age of GM patients was 33.14 years (mainly 20-40). The incidence was high within five years from delivery and mainly occurred in the unilateral breast. The majority of the patients exhibited local skin alterations, while some also presented with systemic symptoms. On multivariate logistic analysis, age, high prolactin level, sex hormone intake, breast trauma, nipple discharge or invagination, and depression were independent risk factors for GM. The mean area under the curve (AUC) in the modeling and validation groups were 0.899 and 0.889. The internal and external validation demonstrated the model's predictive ability and clinical value. Conclusion: Lactation-related factors are the main risk factors of GM, leading to milk stasis or increased ductal secretion. Meanwhile, hormone disorders could affect the secretion and expansion of mammary ducts. All these factors can obstruct or injure the duct, inducing inflammatory reactions and immune responses. Additionally, blunt trauma, depressed mood, and diet preference can accelerate the process. The nomogram can effectively predict the risk of GM.

Inhibition of phosphoinositide­3 kinases γ/δ ameliorates pulmonary granuloma by rescuing Treg function in a sarcoidosis model.

Sarcoidosis is a multisystem inflammatory disease characterized by the development of Th1/Th17/regulatory T cells (Tregs)-related non-caseating granulomas. Phosphoinositide-3 kinases δ/γ (PI3Kδ/γ) play an important role in the maintenance of effective immunity, especially for Tregs homeostasis and stability. In the present study, superoxide dismutase A (SodA) stimulation was used to establish the sarcoidosis mouse model. The second immune stimulus was accompanied by CAL-101 (PI3Kδ inhibitor) or AS-605240 (PI3Kδ/γ inhibitor) treatment. To detect the effect of the PI3Kδ/γ inhibitor on the morphology of pulmonary granuloma and the activation of the PI3K signaling pathway, hematoxylin and eosin staining and immunofluorescence and western blotting was used, respectively. Fluorescence-activated cell sorting analysis and reverse transcription-quantitative PCR were adopted to detect the effect of the PI3Kδ/γ inhibitor on the SodA-induced sarcoidosis mouse model in respect to immune cell disorder and the function of Treg cells, with CD4+CD25- T cells and CD4+CD25+ T cells sorted by magnetic cell sorting. The results demonstrated that the inhibition of PI3Kδ/γ by transtracheal CAL-101/AS-605240 administration facilitated pulmonary granuloma formation. These therapeutic effects were associated with certain mechanisms, including suppressing the aberrantly activated PI3K/Akt signaling in both pulmonary granuloma and Tregs, particularly rescuing the suppressive function of Tregs. Notably, CAL-101 was more effective in immune modulation compared with AS-605240 and could overcome the aberrantly activated Akt in the lung and Tregs. These results suggest that PI3K/Akt signaling, especially the PI3Kδ subunit, can play a key role in optimal Tregs-mediated protection against pulmonary sarcoidosis. Therefore, transtracheal usage of PI3Kδ/γ inhibitors is an attractive therapy that may be developed into a new immune-therapeutic principle for sarcoidosis in the future.

Syngeneic bone marrow transplantation in combination with PI3K inhibitor reversed hyperglycemia in later-stage streptozotocin-induced diabetes.

BACKGROUND: Type 1 diabetes (T1D) is a multiple factor autoimmune disease characterized by T cell-mediated immune destruction of islet ß cells. Autologous hematopoietic stem cell transplantation (AHSCT) has been a novel strategy for patients with new-onset T1D, but not for those with a later diagnosis. Disturbance of regulatory T cells (Tregs) likely contributes to poor response after transplantation in later-stage T1D. Inhibition of phosphoinositide 3-kinases (PI3K)/Akt signaling maintains Tregs' homeostasis. METHODS: We built a later-stage streptozotocin (STZ)-induced T1D mouse model. Syngeneic bone marrow transplantation (syn-BMT) was performed 20 days after the onset of diabetes in combination with BKM120 (a PI3K inhibitor). Meanwhile, another group of STZ-diabetic mice were transplanted with bone marrow cells cocultured with BKM120 in vitro for 24 h. Fasting glucose and glucose tolerance were recorded during the entire experimental observation after syn-BMT. Samples were collected 126 days after syn-BMT. Hematoxylin and eosin (H&E) staining was used to detect the effect of PI3K inhibitor combined with syn-BMT on morphology of the T1D pancreas. CD4+CD25- T cells and CD4+CD25+ T cells were sorted by magnetic cell sorting (MACS), then fluorescence activated cell sorting (FACS) and quantitative real-time PCR (qPCR) were used to detect the effect of PI3K inhibitor on modulating immune disorder and restoring the function of Treg cells. RESULTS: Our investigation showed syn-BMT in combination with BKM120 effectively maintained normoglycemia in later-stage T1D. The disease remission effects may be induced by the rebalance of Th17/Tregs dysregulation and restoration of Tregs' immunosuppressive function by BKM120 after syn-BMT. CONCLUSIONS: These results may reveal important connections for PI3K/Akt inhibition and Tregs' homeostasis in T1D after transplantation. AHSCT combining immunoregulatory strategies such as PI3K inhibition may be a promising therapeutic approach in later-stage T1D.

MicroRNA-802 induces hepatitis B virus replication and replication through regulating SMARCE1 expression in hepatocellular carcinoma.

Growing evidences have indicated that microRNAs (miRNAs) can regulate hepatitis B virus (HBV) expression and replication, playing crucial roles in the development of HBV infection. Until now, the functional role and mechanism of miR-802 in HBV replication and expression remain unknown. We indicated that miR-802 expression was upregulated in the HBV-associated hepatocellular carcinoma (HCC) tissues compared with the adjacent noncancerous samples. In addition, we showed that the SMARCE1 expression level was downregulated in the HBV-associated HCC tissues compared with the adjacent noncancerous samples. miR-802 expression was negatively related with MARCE1 expression in HBV-associated HCC tissues. Moreover, miR-802 expression was upregulated, and SMARCE1 expression was downregulated in the HBV-infected HepG2.2.15 cells. Ectopic expression of miR-802 significantly enhanced HBV DNA replication, while knockdown of miR-802 significantly decreased HBV DNA replication. We showed that overexpression of miR-802 promoted HbsAg and HbeAg expression, while inhibition of miR-802 decreased HbsAg and HbeAg expression. Furthermore, we indicated that ectopic expression of SMARCE1 suppressed HBV DNA replication and decreased the expression level of HbsAg and HbeAg. Finally, we showed that overexpression of miR-802 promoted HBV DNA replication through regulating SMARCE1 expression. These results suggested the important roles of miR-802 on HBV expression and replication, which may shed new light on the development of treatment for HBV.

Knockdown of PKCε expression inhibits growth, induces apoptosis and decreases invasiveness of human glioma cells partially through Stat3.

Glioma is the most common primary central nervous system tumor. Despite considerable research effort, little progress has been made in the therapeutic treatment of this disease. Protein kinase Cε (PKCε), an important intracellular signaling molecule, modulates diverse cellular functions, including cell proliferation, apoptosis, invasion and differentiation. The aim of the study is to investigate whether knockdown of PKCε expression by RNA interference (RNAi) could affect the growth, apoptosis and invasion of human glioma cells, and the involvement of the signal transducer and activator of transcription 3 (Stat3) signaling pathway in these effects. Our data showed that knockdown of PKCε expression inhibited proliferation, induced apoptosis and decreased invasiveness of human glioma cell lines U251 and U87, as well as suppressed the growth of U87 cell-derived tumors in nude mice. Moreover, PKCε physically interacts with Stat3, and knockdown of PKCε expression attenuated Stat3Ser727 phosphorylation and B-cell lymphoma-extra large (Bcl-xL) expression in the two human glioma cell lines. These results support an important role for PKCε in glioma cell growth, apoptosis and invasion, and PKCε exerting its above effects at least in part through Stat3. Thus, PKCε has the potential to be an attractive therapeutic target for glioma therapy.

Different interaction modes of biomolecules with citrate-capped gold nanoparticles.

In this study, we investigated the interaction between five biorelevant molecules and citrate-capped gold nanoparticles using dynamic light scattering, ζ-potential analysis, UV-vis absorption spectroscopy, and transmission electron microscopy. The five biomolecules are bovine serum albumin (BSA), two immunoglobulin G (IgG) proteins, immunoglobulin M (IgM), and a polysaccharide molecule, hyaluronan. BSA, IgG, and IgM are high abundance proteins in blood. Hyaluronan is a major component of the extracellular matrix. An abnormal level of hyaluronan in blood is associated with a number of medical conditions including rheumatoid arthritis and malignancy. Five different interaction modes were observed from these molecules. While BSA and IgM interact with the gold nanoparticles by forming electrostatic interactions with the citrate ligands, IgG and hyaluronan adsorb to the nanoparticle metal core by displacing the citrate ligands. BSA, rabbit IgG, and hyaluronan formed a stable monolayer on the nanoparticle surface. Human IgG and IgM caused nanoparticle cluster formation upon interacting with the gold nanoparticles. For the first time, we discovered that hyaluronan, a highly negatively charged polyglycosaminoglycan, exhibits an exceptionally strong affinity toward the citrate-gold nanoparticles. It can effectively compete with IgG to adsorb to the gold nanoparticles. This finding has exciting implications for future research: the molecular composition of a protein corona formed on a nanoparticle surface upon mixing the nanoparticle with blood or other biological fluids may vary according to the pathological conditions of individuals, and the analysis of these compositions could potentially lead to new biomarker discovery with diagnostic applications.

Preserve common limb in duodenal-jejunal bypass surgery benefits rats with type 2-like diabetes.

BACKGROUND: In order to understand the underlying mechanisms by which weight loss surgeries improve metabolic profiles in type 2 diabetes mellitus (T2DM) patients and to evaluate the relevance of the length of the common limb in modulating various aspects of metabolism, we performed regular duodenal-jejunal bypass (DJB) and long-limb DJB (LL-DJB) surgeries in Goto-Kakizaki (GK) rats and compared their effects on glycemic control. METHODS: Male GK rats at 12 weeks of age were used for this study. Body weight, food intake, fasting glucose, glucagon-like peptide-1 (GLP-1) level, glucose tolerance, insulin sensitivity, cholesterol and triglycerides levels, and fecal energy content were monitored for 26 weeks after the two types of surgeries. RESULTS: We performed systematic analyses on GK rats after DJB or long-limb surgeries. Both procedures prevented body weight gain, reduced blood glucose and lipid levels, increased GLP-1 levels, and led to better insulin sensitivity. In general, LL-DJB displayed better effects than DJB, except that both surgeries caused similar increase in GLP-1 levels. CONCLUSIONS: Both DJB and LL-DJB surgeries triggered beneficial effects in GK rats. LL-DJB showed better outcomes than DJB, which may be due to reduced food intake and higher fecal energy content. This indicates that the length of the common limb could influence metabolic profiles of surgery recipients.

Evaluation of FTIR spectroscopy as diagnostic tool for colorectal cancer using spectral analysis.

The aim of this study is to confirm FTIR spectroscopy as a diagnostic tool for colorectal cancer. 180 freshly removed colorectal samples were collected from 90 patients for spectrum analysis. The ratios of spectral intensity and relative intensity (/I1460) were calculated. Principal component analysis (PCA) and Fisher's discriminant analysis (FDA) were applied to distinguish the malignant from normal. The FTIR parameters of colorectal cancer and normal tissues were distinguished due to the contents or configurations of nucleic acids, proteins, lipids and carbohydrates. Related to nitrogen containing, water, protein and nucleic acid were increased significantly in the malignant group. Six parameters were selected as independent factors to perform discriminant functions. The sensitivity for FTIR in diagnosing colorectal cancer was 96.6% by discriminant analysis. Our study demonstrates that FTIR can be a useful technique for detection of colorectal cancer and may be applied in clinical colorectal cancer diagnosis.

[Label-free monitoring 5-FU induced SW 620 cells apoptosis using FTIR microspectroscopy].

The aim of the present study was to evaluate Fourier transform infrared spectroscopy (FTIR) monitoring of biochemical changes in apoptosis cells. Different concentrations of 5-fluorouracil (5-FU) treated colon cancer cell lines SW620 were used to determine the optimum concentration of 5-FU IC50 by means of MTT assay. Cell starvation and 5-Fu synergistic cell cycle arrest was in G1 and S phase. FTIR combined with flow cytometry was applied to analysis of SW 620 cells and SW620 cells treated with 5-FU for 12h, 24h (early apoptosis) and 48 h (late apoptosis) respectively. The peak position and the intensity of all bands were measured and comparison was made between the SW620 and apoptotic SW620 cells. Apoptosis cells have following characteristics compared with SW620 cells (1) The band at 1 740 cm-1 is an C=O stretching vibration. Changes in these bands can reflect lipid changes, and relative peak intensity ratio 11740/11460 significantly increased (p<0. 05), indicating that the relative contents of lipid in apoptosis cells increased. (2) The band at the 1 410 cm-1 peak represents that C-H stretching related was increased to amino acid residues and shifted to higher wave numbers compared to other groups. I1410o/I 460 at early and late death phase was significantly increased, which suggests that the relative contents of amino acid residues in apoptosis cells increased (p <0. 05). New vibrational bands at 1 120 cm-1 appeared at 24 h and increased at 48 h compared with other groups. The 1 120 cm-1 absorption band is mainly due to ser, serine and threonine C-O(H) stretching vibration, and I1120/I 1460 significantly increased (p<0. 05), indicating that the relative quantity of amino acid residues in apoptosis cells increased due to that DNA unwinds the double helix. (3) 1 240 cm-1 is mainly due to the asymmetric stretching modes of phosphodiester groups shifting to higher wave number, illustrating that nucleic acid conformation was changed in apoptosis cells. (4) The band 1 040 cm-1 associated with polysaccharide appeared at 24 and 48 h, meanwhile shifted to higher wave number, suggesting that polysaccharide decreased in late apoptotic cells, and I 1040/I1400 increased at late stage apoptosis, indicating that the relative content of polysaccharide in apoptosis cells increased. The authors' results suggest that FTIR applied to monitoring SW620 cells apoptosis may be as a potential diagnostic tool for cancer chemotherapy monitoring.

Targeting Stat3 suppresses growth of U251 cell-derived tumours in nude mice.

Malignant gliomas are highly invasive tumours associated with high levels of mortality, and the treatment of gliomas remains a major neurosurgical challenge. Stat3, a member of the signal transducer and activator of transcription family, has a critical role in a variety of cancer cells. We have previously shown that downregulation of Stat3 decreases invasiveness and induces apoptosis in U251 human glioma cells in vitro, but to date it has been unclear whether this treatment would be beneficial in vivo. In the present study, we found that downregulation of Stat3 via RNAi suppressed tumour growth in a xenograft mouse model by inducing apoptosis of U251 tumour cells and inhibiting tumour neo-angiogenesis. We also found that Stat3 RNAi suppresses the expression of Bcl-2 in vivo to induce apoptosis. These results indicate that Stat3 is a critical factor in the survival of patients with glioma, and that targeting Stat3 may offer a potential therapeutic approach.

Inhibition of Stat3 expression induces apoptosis and suppresses proliferation in human leukemia HL-60 cells.

Acute myeloid leukemia (AML) is the most common myeloid leukemia. It is highly malignant, thus, most patients with AML will relapse and die after traditional treatment. Stat3, a member of the signal transducer and activator of transcription (Stat) family, is involved in the development and progression of many tumors. The purpose of the study was to investigate whether the down-regulation of Stat3 expression by RNA interference is effective against human leukemia HL-60 cells. The results indicated that constitutively expressed Stat3 is present in human leukemia HL-60 cells, and the down-regulation of Stat3 expression caused significant induction of apoptosis as well as inhibition of proliferation in HL-60 cells. These data further demonstrated that Stat3 plays a critical role in human leukemia HL-60 cell apoptosis and proliferation. Thus, targeting Stat3 may be a useful adjunctive treatment strategy in AML.

Haplotype analysis of CTLA4 gene and risk of esophageal squamous cell carcinoma in Anyang area of China.

BACKGROUND/AIMS: To study the effect of cytotoxic T-lymphocyte antigen 4 gene haplotypes to susceptibility of esophageal squamous cell carcinoma. METHODOLOGY: A gender- and age-matched case-control design was used in this study. PCR-RFLP method was used to detect the genotype of CTLA4 in 205 patients and 205 control individuals in the Anyang area. Furthermore, haplotypes were calculated by PHASE2.1 software. Finally, the conditional logistic regression analysis was carried out to analyze the relevance between the risk of ESCC and the genotypes or haplotypes of CTLA4 gene. RESULTS: The CTLA4 rs231775 and rs4553808 genotypes in patients with ESCC were significantly different from controls (p=0.004, p=0.023, respectively). The AG and AA genotypes of rs231775 were highly correlated with the risk of ESCC (Adjusted OR=2.280, 95%CI=1.433-3.629, p=0.001; Adjusted OR=2.192, 95%CI=1.229-3.911, p=0.008, respectively), and AG genotype of rs4553808 also increased the susceptibility of ESCC (Adjusted OR=1.848, 95%CI=1.220-2.800, p=0.004). Further study suggested that AAG haplotype may enhance the risk of ESCC (Adjusted OR=5.035, 95%CI=1.599-15.860, p=0.005), but GAA haplotype played a protective role (Adjusted OR=0.413, 95%CI=0.251-0.680, p=0.001). CONCLUSIONS: Our research confirmed that CTLA4 genetic variation was related to ESCC in the Anyang area and GAA haplotype was the protective factor of ESCC.