Research Progress of Chinese Herbal Medicine Intervention in Renal Interstitial Fibrosis

Meta-analysis of traditional Chinese medicine on chronic kidney disease

OBJECTIVE

To explore the effect of traditional Chinese medicine (TCM) on the treatment of chronic kidney disease (CKD).

METHODS

Databases were used for literature research until 16 December 2022, including PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Embase. After full-text screening, data were extracted by two researchers independently. The Cochrane ROB tool was applied for quality assessment. The heterogeneity was tested using the Chi-squared-based Q statistic test and the I2 statistic.

RESULTS

The findings revealed that the use of TCM significantly improved the total effective rate (pooled odds ratio (OR) = 1.35, 95% confidence interval (CI) = [1.15, 1.57]), reduced the serum creatinine (SCr) level (pooled mean difference (MD) = -0.11, 95% CI = [-0.20, -0.03]), and increased the estimated glomerular filtration rate (eGFR, pooled MD = 3.76, 95% CI = [2.66, 4.87]) in patients with CKD, compared with non-TCM treatment. Meanwhile, TCM performed better effect on 24-h proteinuria (pooled MD = 0.17, 95% CI = [0.04, 0.31]) than non-TCM. No significant difference in the incidence of adverse events was found between TCM and non-TCM treatment (pooled OR = 0.63, 95% CI = [0.32, 1.24]). Sensitivity analysis demonstrated the stability of the pooled estimates.

CONCLUSION

TCM has the advantage over non-TCM treatment and is worth popularizing and applying in the prevention and cure of CKD.

PROSPERO REGISTRATION NUMBER

CRD42021279281.

Significance of methylation-related genes in diagnosis and subtype classification of renal interstitial fibrosis

BACKGROUND

RNA methylation modifications, such as N1-methyladenosine/N6-methyladenosine /N5-methylcytosine (m¹A/m⁶A/m⁵C), are the most common RNA modifications and are crucial for a number of biological processes. Nonetheless, the role of RNA methylation modifications of m¹A/m⁶A/m⁵C in the pathogenesis of renal interstitial fibrosis (RIF) remains incompletely understood.

METHODS

Firstly, we downloaded 2 expression datasets from the GEO database, namely GSE22459 and GSE76882. In a differential analysis of these datasets between patients with and without RIF, we selected 33 methylation-related genes (MRGs). We then applied a PPI network, LASSO analysis, SVM-RFE algorithm, and RF algorithm to identify key MRGs.

RESULTS

We eventually obtained five candidate MRGs (WTAP, ALKBH5, YTHDF2, RBMX, and ELAVL1) to forecast the risk of RIF. We created a nomogram model derived from five key MRGs, which revealed that the nomogram model may be advantageous to patients. Based on the selected five significant MRGs, patients with RIF were classified into two MRG patterns using consensus clustering, and the correlation between the five MRGs, the two MRG patterns, and the genetic pattern with immune cell infiltration was shown. Moreover, we conducted GO and KEGG analyses on 768 DEGs between MRG clusters A and B to look into their different involvement in RIF. To measure the MRG patterns, a PCA algorithm was developed to determine MRG scores for each sample. The MRG scores of the patients in cluster B were higher than those in cluster A.

CONCLUSIONS

Ultimately, we concluded that cluster A in the two MRG patterns identified on these five key m¹A/m⁶A/m⁵C regulators may be associated with RIF.

Protective effects and regulatory mechanisms of Shen-shuai-yi recipe on renal fibrosis in unilateral ureteral obstruction-induced mice

Renal fibrosis (RF) is a common pathological feature of chronic kidney disease (CKD), which remains a major public health problem. As now, there is still lack of chemical or biological drugs to reverse RF. Shen-shuai-yi Recipe (SSYR) is a classical Chinese herbal formula for the treatment of CKD. However, the effects and mechanisms of SSYR in treating RF are still not clear. In this study, the active constituents SSYR for treating RF were explored by UHPLC-Q-Orbitrap HRMS. Bioinformatics analyses were employed to analyze the key pharmacological targets and the core active constituents of SSYR in the treatment of RF. In experimental validation, vehicle or SSYR at doses of 2.12 g/kg/d and 4.25 g/kg/d were given by orally to unilateral ureteric obstruction (UUO) mice. 13 days after treatment, we detected the severity of renal fibrosis, extracellular collagen deposition and pre-fibrotic signaling pathways. Bioinformatics analysis suggested that signal transducer and activator of transcription 3 (STAT3) was the core target and lenticin, luteolin-7-O-rutinoside, hesperidin, kaempferol-3-O-rutinoside, and 3,5,6,7,8,3',4'-heptamethoxyflavone were the key constituents in SSYR for treating RF. SSYR significantly reduced the expressions of fibronectin (FN), α-smooth muscle actin (α-SMA), collagen-I and alleviated renal interstitial collagen deposition in UUO kidneys. In mechanism, SSYR potently blocked the phosphorylation of STAT3 and Smad3 and suppressed the expression of connective tissue growth factor (CTGF). Collectively, SSYR can ameliorate RF via inhibiting the phosphorylation of STAT3 and its downstream and reducing the collagen deposition, suggesting that SSYR can be developed as a novel medicine for treating RF.

Anti-Fibrotic Effect of Synthetic Noncoding Decoy ODNs for TFEB in an Animal Model of Chronic Kidney Disease

Despite emerging evidence suggesting that autophagy occurs during renal interstitial fibrosis, the role of autophagy activation in fibrosis and the mechanism by which autophagy influences fibrosis remain controversial. Transcription factor EB (TFEB) is a master regulator of autophagy-related gene transcription, lysosomal biogenesis, and autophagosome formation. In this study, we examined the preventive effects of TFEB suppression on renal fibrosis. We injected synthesized TFEB decoy oligonucleotides (ODNs) into the tail veins of unilateral ureteral obstruction (UUO) mice to explore the regulation of autophagy in UUO-induced renal fibrosis. The expression of interleukin (IL)-1β, tumor necrosis factor-α (TNF-α), and collagen was decreased by TFEB decoy ODN. Additionally, TEFB ODN administration inhibited the expression of microtubule-associated protein light chain 3 (LC3), Beclin1, and hypoxia-inducible factor-1α (HIF-1α). We confirmed that TFEB decoy ODN inhibited fibrosis and autophagy in a UUO mouse model. The TFEB decoy ODNs also showed anti-inflammatory effects. Collectively, these results suggest that TFEB may be involved in the regulation of autophagy and fibrosis and that regulating TFEB activity may be a promising therapeutic strategy against kidney diseases.