In this study, we developed Solid Lipid Nanoparticles (SLN-NPs) loaded with Artemisia vulgaris essential oil and coated with folic acid-chitosan (AVEO-SCF-NPs) to enhance drug delivery in biotechnology and pharmaceutical sectors. AVEO-SCF-NPs were synthesized using homogenization and ultra-sonication methods and comprehensively characterized. These nanoparticles exhibited a particle size of 253.67 nm, Polydispersity Index (PDI) of 0.26, zeta potential (ζ-p) of +39.96 mV, encapsulation efficiency (%EE) of 99.0 %, and folic acid binding efficiency (% FB) of 46.25 %. They effectively inhibited MCF-7, HT-29, and PC-3 cancer cells with IC50 values of 48.87 μg/mL, 88.48 μg/mL, and 121.34 μg/mL, respectively, and demonstrated antibacterial properties against Gram-positive strains. AVEO-SCF-NPs also exhibited scavenging effects on ABTS (IC50 : 203.83 μg/mL) and DPPH (IC50: 680.86 μg/mL) free radicals and inhibited angiogenesis, as confirmed through CAM and qPCR assays. Furthermore, these nanoparticles induced apoptosis, evidenced by up-regulation of caspase 3 and 9, down-regulation of TNF-α genes, and an increase in SubG1 phase cells. The high loading capacity of SCF-NPs for AVEO, coupled with their multifaceted biological properties, highlights AVEO-SCF-NPs as promising candidates for cancer therapy in the biotechnology and pharmaceutical industries.

The amino acids arginine (Arg), asymmetric (ADMA) and symmetric dimethylarginine (SDMA) are related to nitric oxide (NO) metabolism and potential markers of two different disease entities: cardiovascular disease such as atherosclerosis and systemic inflammation in critically ill patients with sepsis. Although very different in their pathophysiological genesis, both entities involve the functional integrity of blood vessels. In this context, large population-based data associating NO metabolites with proinflammatory markers, e.g., white blood cell count (WBC), high-sensitivity C-reactive protein (hsCRP), and fibrinogen, or cytokines are sparse. We investigated the association of Arg, ADMA and SDMA with WBC, hsCRP, and fibrinogen in 3556 participants of the Study of Health in Pomerania (SHIP)-TREND study. Furthermore, in a subcohort of 456 subjects, 31 inflammatory markers and cytokines were analyzed. We identified Arg and SDMA to be positively associated with hsCRP (β coefficient 0.010, standard error (SE) 0.002 and 0.298, 0.137, respectively) as well as fibrinogen (β 5.23 × 10-3, SE 4.75 × 10-4 and 0.083, 0.031, respectively). ADMA was not associated with WBC, hsCRP, or fibrinogen. Furthermore, in the subcohort, Arg was inversely related to a proliferation-inducing ligand (APRIL). SDMA was positively associated with osteocalcin, tumor necrosis factor receptor 1 and 2, and soluble cluster of differentiation 30. Our findings provide new insights into the involvement of Arg, ADMA, and SDMA in subclinical inflammation in the general population.

BACKGROUND: Large-scale clinical trials of sodium-glucose cotransporter 2 inhibitors (SGLT2i) demonstrate proteinuria-reducing effects in diabetic kidney disease, even after treatment with renin-angiotensin inhibitors. The precise mechanism for this favorable effect remains unclear. This prospective open-label single-arm study investigated factors associated with a reduction in proteinuria after SGLT2i administration.
METHODS: Patients with type 2 diabetes (T2DM) who had glycated hemoglobin (HbA1c) levels ≥ 6.5% despite dietary and/or oral hypoglycemic monotherapy were recruited and administered the recommended daily dose of SGLT2i for 4 months. Dual primary outcomes were changes in the urine albumin-to-creatinine ratio (uACR) and urine liver-type fatty acid-binding protein (L-FABP)-to-creatinine ratio (uL-FABPCR) at month 4 from baseline. Changes in kidney injury, inflammation, and oxidative stress biomarkers were investigated as secondary endpoints to examine the effects of this treatment on the kidney. The correlation between renal outcomes and clinical indicators, including circulating tumor necrosis factor receptors (TNFR) 1 and 2, was evaluated using univariate and multivariate analyses.
RESULTS: Participants (n = 123) had a mean age of 64.1 years (SD 13.4), with 50.4% being male. The median BMI was 25.8 kg/m2 (interquartile range (IQR) 23.1-28.9), and the median HbA1c level was 7.3% (IQR 6.9-8.3). After SGLT2i administration, the uACR declined from 19.2 mg/gCr (IQR 7.1-48.7) to 13.3 mg/gCr (IQR 7.5-31.6), whereas the uL-FABPCR was not influenced. In univariate analysis, the change in log-transformed uACR due to SGLT2i administration showed a positive correlation with the change in serum TNFR1 level (R = 0.244, p < 0.01). Multivariate regression analysis, including confounding factors, showed that the changes in serum TNFR1 level were independently associated with the changes in the log-transformed uACR (independent t = 2.102, p < 0.05).
CONCLUSIONS: After the 4-month SGLT2i administration, decreased albuminuria level was associated with decreased serum TNFR level in patients with T2DM.
BACKGROUND: UMIN000031947.
Previous studies have demonstrated the synergistic proteinuria-reducing effect of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in combination therapy with renin–angiotensin system blockers; however, the underlying mechanisms of this effect are poorly understood. This study was based on our hypothesis that the proteinuria-reducing effect is associated with the anti-inflammatory effects of SGLT2i beyond the effect on glycemic control. In total, 123 patients with type 2 diabetes mellitus (T2DM) were administered the recommended daily dose of SGLT2i for 4 months. Dual primary outcomes were changes in the urine albumin-to-creatinine ratio (uACR) and urine liver-type fatty acid-binding protein (L-FABP)-to-creatinine ratio (uL-FABPCR) as markers of glomerular and proximal tubular damage at 4 months from the baseline. Secondary outcomes included changes in kidney injury biomarkers, inflammation, and oxidative stress to examine the effects of treatment on the kidneys. The correlation between renal outcomes and clinical indicators, including circulating tumor necrosis factor receptors (TNFR) 1 and 2, was evaluated using univariate and multivariate analyses. We found that administration of SGLT2i decreased the urine albumin-to-creatinine ratio but did not affect the urine liver-type fatty acid-binding protein-to-creatinine ratio. Further, SGLT2i may exert a proteinuria-reducing effect dependent on the anti-inflammatory effect in patients with T2DM. The inflammation-reducing and renoprotective mechanisms of SGLT2i remain to be fully clarified, but this study provides novel evidence regarding the mechanism. The study findings can help in developing anti-inflammatory agents for metabolic diseases.

UNASSIGNED: The goal of our study was to evaluate the potential role of sTNF-RI as a biomarker of renal involvement in SLE patients and active SLE.
UNASSIGNED: The study sample consisted of two cohorts. The discovery cohort included 16 SLE patients without renal involvement (non-LN), 60 lupus nephritis (LN) patients and 21 healthy controls (HCs) and the replication cohort included 18 SLE non-LN patients, 116 LN patients and 36 HCs.
UNASSIGNED: The sTNF-RI levels differed significantly in the discovery cohort. The plasma sTNF-RI levels were higher in LN patients than in non-LN patients (p = .009) and HCs (p = 4 × 10-6). Plasma sTNF-RI levels were significantly higher in non-LN patients than in HCs (p = .03). The finding was confirmed in independent replication cohort (LNs vs. non-LN, p = 4.053 × 10-7; LNs vs. HCs, p = 2.395 × 10-18; non-LN vs. HCs, p = 2.51 × 10-4). The plasma sTNF-RI levels were associated with disease activity, renal function in SLE patients and urine protein in LN patients. The multivariate analysis revealed that high sTNF-RI was an independent risk factor for renal involvement. The multivariate logistic regression results suggested that high TNF-RI, high systolic blood pressure, high serum creatinine, low C4 and positive anti-dsDNA were independent risks of active SLE patients. A nomogram was constructed based on the results of multivariate logistic regression analysis and it was practical in predicting the risk of the active SLE patients. Immunohistochemistry suggested that the expression of TNF-RI in the kidney was increased.
UNASSIGNED: Plasma sTNF-RI might be a good biomarker of renal involvement and disease activity in SLE patients.

TNFa blocking agents were the first-in-class biologic drugs used for the treatment of autoimmune disease. Paradoxically, however, exacerbation of autoimmunity was observed in some patients. TNFa is a pleiotropic cytokine that has both proinflammatory and regulatory effects on CD4+ T cells and can influence the adaptive immune response against autoantigens. Here, we critically appraise the literature and discuss the intricacies of TNFa signaling that may explain the controversial findings of previous studies. The pleiotropism of TNFa is based in part on the existence of two biologically active forms of TNFa, soluble and membrane-bound, with different affinities for two distinct TNF receptors, TNFR1 and TNFR2, leading to activation of diverse downstream molecular pathways involved in cell fate decisions and immune function. Distinct membrane expression patterns of TNF receptors by CD4+ T cell subsets and their preferential binding of distinct forms of TNFα produced by a diverse pool of cellular sources during different stages of an immune response are important determinants of the differential outcomes of TNFa-TNF receptor signaling. Targeted manipulation of TNFa-TNF receptor signaling on select CD4+ T cell subsets may offer specific therapeutic interventions to dampen inflammation while fortifying immune regulation for the treatment of autoimmune diseases.

The transcription factor nuclear factor-κB (NF-κB) is a critical regulator of the immune response, inflammation, cell growth, and survival. Canonical and non-canonical pathways, two NF-κB pathways, are activated through diverse stimulators and receptors. NF-κB activity is dysregulated in various inflammation-related diseases and cancers. It was found that the persistent NF-κB activity has a major role in proliferation, apoptosis inhibition, metastasis, and cell cycle disruption in cancer cells and also the survival of cancer stem cells (CSCs) within the tumors. Therefore, suppression of the NF-κB pathway could be a promising therapeutic target for cancer therapy. Different biological inhibitors (e.g., peptides, small molecules, antisense oligonucleotides (ASOs), and antibodies (Abs)) have been demonstrated to inhibit the NF-κB pathway. Low stability in the circulation system, weak availability, and poor cellular uptake of some inhibitors limit their therapeutic applications. To address these drawbacks nanocarrier systems are often formulated and applied in drug delivery as an effective therapeutic approach. Targeted nanosystems (i.e., small molecules, peptides, Abs and Aptamers (Aps) conjugated nanocarriers), as well as smart responsive nanocarriers, can improve the efficiency of therapeutics while reducing the off-target toxicity. This review describes the NF-κB signaling pathways and mechanisms of their over-activation in tumor initiation and progression. The NF-κB inhibitors and their clinical applications are also discussed. It also overviews different nanocarriers used as robust vehicles for the delivery of NF-κB inhibitors and anti-tumor agents to improve the bioavailability of drugs and selective targeting of cancer cells to repress NF-κB activity in tumor cells.

Tumor necrosis factor‑α (TNF‑α) is a pleiotropic pro‑inflammatory cytokine that contributes to the pathophysiology of several autoimmune diseases, such as multiple sclerosis, inflammatory bowel disease, rheumatoid arthritis, psoriatic arthritis and systemic lupus erythematosus (SLE). The specific role of TNF‑α in autoimmunity is not yet fully understood however, partially, in a complex disease such as SLE. Through the engagement of the TNF receptor 1 (TNFR1) and TNF receptor 2 (TNFR2), both the two variants, soluble and transmembrane TNF‑α, can exert multiple biological effects according to different settings. They can either function as immune regulators, impacting B‑, T‑ and dendritic cell activity, modulating the autoimmune response, or as pro‑inflammatory mediators, regulating the induction and maintenance of inflammatory processes in SLE. The present study reviews the dual role of TNF‑α, focusing on the different effects that TNF‑α may have on the pathogenesis of SLE. In addition, the efficacy and safety of anti‑TNF‑α therapies in preclinical and clinical trials SLE are discussed.

Förster resonance energy transfer (FRET) is the direct energy exchange between two-component fluorescent molecules. FRET methods utilize chemically linked molecules or unlinked fluorescent molecules such as fluoresscent protein-protein interactions. FRET is therefore a powerful indicator of molecular proximity, but standardized determination of FRET efficiency is challenged when investigating natural (chemically unlinked) interactions. In this paper, we have examined the interactions of tumor necrosis factor receptor-1 (TNFR1) molecules expressed as recombinant C-terminal fusion proteins of cyan, yellow, or red fluorescent protein (-CFP, -YFP, or -RFP) to evaluate two-molecule chemically unlinked FRET by flow cytometry. We demonstrate three independent FRET pairs of TNFR1 CFP→YFP (FRET-1), YFP→RFP (FRET-2) and CFP→RFP (FRET-3), by comparing TNFR1+TNFR1 with non-interacting TNFR1+CD27 proteins, on both LSR-II and Fortessa X-20 cytometers. We describe genuine FRET activities reflecting TNFR1 homotypic interactions. The FRET events can be visualized during sample acquisition via the use of \"spiked\" FRET donor cells, together with TNFR1+TNFR1 co-transfected cells, as FRET channel mean fluorescence intensity (MFI) overlays. FRET events can also be indicated by comparing concatenated files of cells expressing either FRET positive events (TNFR1+TNFR1) or FRET negative events (TNFR1+CD27) to generate single-cell scatter plots showing loss of FRET donor brightness. Robust determination of FRET efficiency is then confirmed at the single-cell level by applying matrix calculations based on the measurements of FRET, using donor, acceptor, and FRET fluorescent intensities (I), detector channel emission coefficient (S), fluorescent protein extinction coefficients (ε) and the α factor. In this TNFR1-based system the mean CFP→YFP FRET-1 efficiency is 0.43 (LSR-II) and 0.41 (Fortessa X-20), the mean YFP→RFP FRET-2 efficiency is 0.30 (LSR-II) and 0.29 (Fortessa X-20), and the mean CFP→RFP FRET-3 efficiency is 0.56 (LSR-II) and 0.54 (Fortessa X-20). This study also embraces multi-dimensional clustering using t-SNE, Fit-SNE, UMAP, Tri-Map and PaCMAP to further demonstrate FRET. These approaches establish a robust system for standardized detection of chemically unlinked TNFR1 homotypic interactions with three individual FRET pairs.

β-1,4 Galactosyltransferase V (β-1,4-GalT V) belongs to the β-1,4 galactosyltransferase family, which modifies proteins and plays a vital role in biological function. Our previous study revealed that β-1,4-GalT V was expressed in the cortex and hippocampus and participated in the recovery of spatial learning and memory in rats with traumatic brain injury. However, the expression of β-1,4-GalT V in microglia, resident immune cells in the central nervous system, and its impact on microglia in resting and lipopolysaccharide-triggered activated stages are elusive. In this study, we clarified that β-1,4-GalT V expresses in microglia, and it regulates microglial migration, proliferation, and release of the inflammatory factors. We also observed that β-1,4-GalT V affects the expression level of tumor necrosis factor receptor (TNFR)2 instead of TNFR1. These results strongly support the fact that β-1,4-GalT V is involved in microglial function.

Tumor-associated tertiary lymphoid structures (TA-TLS) are associated with enhanced patient survival and responsiveness to cancer therapies, but the mechanisms underlying their development are unknown. We show here that TA-TLS development in murine melanoma is orchestrated by cancer-associated fibroblasts (CAF) with characteristics of lymphoid tissue organizer cells that are induced by tumor necrosis factor receptor signaling. CAF organization into reticular networks is mediated by CD8 T cells, while CAF accumulation and TA-TLS expansion depend on CXCL13-mediated recruitment of B cells expressing lymphotoxin-α1β2. Some of these elements are also overrepresented in human TA-TLS. Additionally, we demonstrate that immunotherapy induces more and larger TA-TLS that are more often organized with discrete T and B cell zones, and that TA-TLS presence, number, and size are correlated with reduced tumor size and overall response to checkpoint immunotherapy. This work provides a platform for manipulating TA-TLS development as a cancer immunotherapy strategy.