Journal: Journal of Traditional and Complementary Medicine

Article Title: Chemical characterization of Jing Guan Fang and its application in alleviating coronavirus envelope protein-induced proinflammatory responses in vitro and in vivo

doi: 10.1016/j.jtcme.2025.12.003

Figure Lengend Snippet: JGF inhibits NO, IL-6, and TNF-α production in RAW264.7 and MH-S cells. The cells were treated with JGF (50, 100, 150, 300, 600 μg/mL), 2-E (0.1 μM), DXT (10 μM), or LPS (0.1 μg/mL) for 24 h. ( A ) Cell viability was evaluated using crystal violet. ( B ) NO production was measured using the Griess assay. ( C-D ) IL-6 ( C ) and TNF-α ( D ) levels were determined by ELISA. EC 50 was calculated by CompuSyn software. Data was presented as mean ± standard deviation (SD) for groups (n = 3). Significant differences are denoted as ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.

Article Snippet: Primary antibodies against IL-6 (Bioss, BS0379R, 1:500), TNF-α (Bioworld, BS1857, 1:300), and IL-1β (Bioss, BS6319R, 1:500) were applied overnight at room temperature.

Techniques: Griess Assay, Enzyme-linked Immunosorbent Assay, Software, Standard Deviation

Journal: Journal of Traditional and Complementary Medicine

Article Title: Chemical characterization of Jing Guan Fang and its application in alleviating coronavirus envelope protein-induced proinflammatory responses in vitro and in vivo

doi: 10.1016/j.jtcme.2025.12.003

Figure Lengend Snippet: Components of JGF inhibit 2-E-induced inflammation. The RAW264.7 and MH-S cells were co-treated with JGF compounds and 2-E for 24 h. ( A ) The 3D-HPLC fingerprint of JGF. Compound structures were sourced from the PubChem database. The detection wavelength ranged from 200 to 400 nm, and the injection volume was 20 μL. ( B ) Cell viability was evaluated using crystal violet. ( C ) NO production was measured using the Griess assay. ( D-E ) IL-6 ( D ) and TNF-α ( E ) levels were determined by ELISA. Data are presented as mean ± SD (n = 3). Statistical significance was determined relative to the 2-E group. Significant differences are denoted as ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001.

Article Snippet: Primary antibodies against IL-6 (Bioss, BS0379R, 1:500), TNF-α (Bioworld, BS1857, 1:300), and IL-1β (Bioss, BS6319R, 1:500) were applied overnight at room temperature.

Techniques: Injection, Griess Assay, Enzyme-linked Immunosorbent Assay

Journal: Journal of Traditional and Complementary Medicine

Article Title: Chemical characterization of Jing Guan Fang and its application in alleviating coronavirus envelope protein-induced proinflammatory responses in vitro and in vivo

doi: 10.1016/j.jtcme.2025.12.003

Figure Lengend Snippet: JGF reduces the 2-E-induced proinflammatory cytokines in vivo . ( A ) The experimental scheme for mouse exposure. ( B-F ) Levels of IL-6 ( B ), TNF-α ( C ), IFN-γ ( D ), IL-1β ( E ), and IL-12 ( F ) in lung tissue and serum were measured by ELISA. Data are presented as mean ± SD (n = 9 for serum, except DXT group n = 6; n = 6 for lung tissue, except DXT group n = 3) ( G ) Representative histological images of lung tissue stained with H&E and IHC images for IL-6, TNF-α, and IL-1β expression. ( H-J ) Quantification of IL-6 ( H ), TNF-α ( I ), and IL-1β ( J ) positive areas using ImageJ (n = 3). Significant differences between the control (CTL) group and other groups are denoted by ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001. Significant differences between the 2-E group and 2-E + JGF group are indicated by #p < 0.05, ##p < 0.01, ###p < 0.001.

Article Snippet: Primary antibodies against IL-6 (Bioss, BS0379R, 1:500), TNF-α (Bioworld, BS1857, 1:300), and IL-1β (Bioss, BS6319R, 1:500) were applied overnight at room temperature.

Techniques: In Vivo, Enzyme-linked Immunosorbent Assay, Staining, Expressing, Control

Journal: iScience

Article Title: GAL and F2R as immune diagnostic biomarkers for fetal growth restriction

doi: 10.1016/j.isci.2026.115228

Figure Lengend Snippet: Targeted additional analysis of the three key IR-DEGs (A) Chromosomal positions of the key IR-DEGs are presented. (B) A PCA plot illustrates the distribution of samples based on the expression profiles of the 3 key IR-DEGs. The x axis and y axis correspond to the first two principal components (PC1 and PC2), respectively, and the percentage of total variance explained by each component is indicated in parentheses adjacent to the axis labels. (C) Comparative expression levels of three crucial IR-DEGs in FGR, which integrates datasets GSE24129 , GSE100415 , and GSE147776 . (D) ROC curves were used to validate the efficacy of three crucial IR-DEGs in predicting FGR, quantifying the diagnostic performance of each gene for FGR identification. (E) A nomogram for predicting the risk of FGR is constructed based on three IR-DEGs, specifically F2R, GAL, and CXCL10. For each of these genes, a corresponding point value is assigned according to its expression level; the total point score is calculated by summing the individual gene points, and this total score is further converted to the predicted risk of developing FGR. (F) A calibration curve for the nomogram is shown, comparing the nomogram-predicted risk of FGR ( x axis) with the actually observed risk ( y axis). The diagonal line represents an ideal prediction scenario where predicted and observed risks are identical. The dashed line (“Apparent”) denotes the model’s performance before bias correction, while the solid line (“Bias-corrected”) represents performance after bias correction.

Article Snippet: IHC staining was performed according to previously established protocols using primary antibodies against GAL (Bioss, Beijing, China, catalog number: bs-0017M, RRID: AB_10855141) and F2R (Bioss, Beijing, China, catalog number: bs-0828R, RRID: AB_10857704).

Techniques: Expressing, Diagnostic Assay, Construct

Journal: iScience

Article Title: GAL and F2R as immune diagnostic biomarkers for fetal growth restriction

doi: 10.1016/j.isci.2026.115228

Figure Lengend Snippet: An evaluation focusing on immune infiltration related to two IR-DEGs (A) Stacked bar plot showing the relative abundance of 22 immune cell subtype proportions between FGR and AGA samples. (B) A boxplot is employed to visualize the differentiation in ratios of 22 immune cell types, with a specific focus on comparisons between FGR and AGA. (C) A Spearman correlation network is constructed to illustrate the correlative relationships between two IR-DEGs (namely GAL and F2R) and infiltrating immune cells in FGR. This network visualization explicitly displays how each of the four target IR-DEGs correlates with the 22 types of infiltrating immune cells, facilitating intuitive recognition of positive or negative correlation patterns between the genes and immune cell subsets. (D) Expression levels of F2R are significantly higher in FGR tissues ( n = 11) compared to AGA samples ( n = 25). Data are presented as mean ± SEM. (E) Expression levels of GAL are significantly elevated in FGR tissues ( n = 11) relative to AGA specimens ( n = 25). Data are presented as mean ± SEM. (F) qRT-PCR analysis demonstrates that F2R mRNA expression is significantly upregulated in FGR placental tissues compared to AGA controls ( p = 0.0019). Data are presented as mean ± SEM. (G) qRT-PCR analysis reveals a significant downregulation of GAL mRNA in FGR placental tissues compared to AGA controls ( p = 0.0015). Data are presented as mean ± SEM. Additionally, representative images of IHC staining for F2R and GAL in FGR and AGA patients are presented, illustrating both high and low expression levels of the two genes. All staining images are shown at magnifications of ×40 and ×200, with scale bars clearly indicated for reference. Statistical p values were calculated via the chi-square test, where ∗ p < 0.05 and ∗∗ p < 0.01.

Article Snippet: IHC staining was performed according to previously established protocols using primary antibodies against GAL (Bioss, Beijing, China, catalog number: bs-0017M, RRID: AB_10855141) and F2R (Bioss, Beijing, China, catalog number: bs-0828R, RRID: AB_10857704).

Techniques: Construct, Expressing, Quantitative RT-PCR, Immunohistochemistry, Staining