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There is increasing evidence that the intestinal microbiota plays a mechanistic role in the etiology of non-alcoholic fatty liver disease (NAFLD). Animal and human studies have linked small molecule metabolites produced by commensal bacteria in the gut contribute to not only intestinal inflammation, but also to hepatic inflammation. These immunomodulatory metabolites are capable of engaging host cellular receptors, and may mediate the observed association between gut dysbiosis and NAFLD. This review focuses on the effects and potential mechanisms of three specific classes of metabolites that synthesized or modified by gut bacteria: short chain fatty acids, amino acid catabolites, and bile acids. In particular, we discuss their role as ligands for cell surface and nuclear receptors regulating metabolic and inflammatory pathways in the intestine and liver. Studies reveal that the metabolites can both agonize and antagonize their cognate receptors to reduce or exacerbate liver steatosis and inflammation, and that the effects are metabolite- and context-specific. Further studies are warranted to more comprehensively understand bacterial metabolite-mediated gut-liver in NAFLD. This understanding could help identify novel therapeutics and therapeutic targets to intervene in the disease through the gut microbiota.

The long noncoding RNA H19 was reported to associate with melanogenesis. However, it remains unknown whether H19 expression will be changed by UVB irradiation and whether H19 will regulate melanocytes melanogenesis by paracrine effects. Here, we analysed the expression changes of H19 irradiated by UVB in keratinocytes and explored the mechanism of melanogenesis stimulated by H19 through paracrine effects. First, after keratinocytes were exposed to UVB irradiation, expression of H19 and pro-opiomelanocortin (POMC) was measured by qRT-PCR. Also, α-melanocyte-stimulating hormone (α-MSH) contents in cells supernatant were measured by ELISA. Then, H19 siRNAs were designed and transfected into keratinocytes by liposome. The expression changes of H19, POMC and α-MSH were detected. Besides, expression of p53 was detected by Western blot. After that, supernatant of keratinocytes with H19 siRNAs or negative control siRNA was cocultured with immortalized melanocyte line PIG1. Expression levels of MiTF, TYR, Rab27A, TYRP2, FSCN1 and MYO5A in PIG1 cells were detected by Western blot and qRT-PCR. We found that H19 expression of keratinocytes cells decreased after UVB irradiation. However, the levels of POMC, α-MSH and p53 were upregulated in UVB-irradiated cells. Compared with the negative control, H19 siRNAs could significantly increase the expression of POMC, α-MSH and p53. After supernatant of keratinocytes transfected with H19 siRNAs was cocultured with PIG1 cells, the levels of MiTF, TYR and Rab27A were upregulated in PIG1 cells. In conclusion, UVB-inhibited H19 may promote α-MSH secretion by p53 in keratinocytes and then regulate melanocytes melanogenesis through paracrine effects.

The occurrence of hyperpigmentation or hypopigmentation after inflammation is a common condition in dermatology and cosmetology. Since the exact mechanism of its occurrence is not yet known, prevention and treatment are troublesome. Previous studies have confirmed that α‑melanocyte‑stimulating hormone, stem cell factor and other factors can promote melanogenesis‑related gene expression through the activation of signaling pathways. Recent studies have revealed that a variety of inflammatory mediators can also participate in the regulation of melanogenesis in melanocytes. In this review, we summarized that interleukin‑18, interleukin‑33, granulocyte‑macrophage colony stimulating factor, interferon‑γ, prostaglandin E2 have the effect of promoting melanogenesis, while interleukin‑1, interleukin‑4, interleukin‑6, interleukin‑17 and tumor necrosis factor can inhibit melanogenesis. Further studies have found that these inflammatory factors may activate or inhibit melanogenesis‑related signaling pathways (such as protein kinase A and mitogen activated protein kinase) by binding to corresponding receptors, thereby promoting or inhibiting the expression of melanogenesis‑related genes and regulating skin pigmentation processes. This suggests that the development of drugs or treatment methods from the perspective of regulating inflammation can provide new ideas and new targets for the treatment of pigmented dermatosis. This review outlines the current understanding of the inflammation factors' roles in melanogenesis.

Our previous study found that Ganoderma lucidum polysaccharide (GLP), bioactive ingredients from Ganoderma lucidum, protected fibroblasts from photoaging. However, whether GLP can affect melanogenesis in melanocytes through regulating paracrine mediators that secreted by keratinocytes and fibroblasts is unclear. We aimed to investigate the efficacy and mechanisms of action of GLP in melanogenesis by regulating paracrine effects of keratinocytes and fibroblasts. The effect of GLP on cell viability affected by GLP was measured by the 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay. After an immortal keratinocyte line (HaCaT) and primary fibroblasts (FB) were treated with GLP, the supernatants of HaCaT and FB cells were collected and cocultured with an immortalized melanocyte line (PIG1). The expression levels of melanogenesis-associated genes in PIG1 cells were measured by quantitative real-time polymerase chain reaction (qRT-PCR) and western blot analysis. Furthermore, FRS-2, ERK, JNK, and p38 phosphorylation levels were measured. Then, major melanogenic paracrine mediators in HaCaT and FB cells treated with GLP were evaluated by qRT-PCR and enzyme-linked immunosorbent assay (ELISA). In addition, the expression of IL-6 and STAT3 was examined in HaCaT and FB cells. GLP was not cytotoxic to HaCaT and FB cells. The supernatants of GLP-treated HaCaT and FB cells downregulated the expression levels of MITF, TYR, TYRP1, TYRP2, RAB27A, and FSCN1 genes and inhibited the phosphorylation of FRS-2, ERK, JNK, and p38 in PIG1 cells. GLP also decreased FGF2 secretion in HaCaT and FB cells. Moreover, GLP reduced IL-6 expression and STAT3 phosphorylation in HaCaT and FB cells. GLP reduced melanogenesis in melanocytes by inhibiting the paracrine effects of keratinocytes and fibroblasts via IL-6/STAT3/FGF2 pathway.

It is well established that the dynamics of signaling and gene expression in a clonal population of cells vary both in the absence and presence of stimuli. In order to elucidate the stochasticity in signaling and downstream cellular responses, we have formulated a mathematical model and utilized it along with single-cell experimental measurements to investigate the cell-to-cell variability in the response of mouse macrophages to lipopolysaccharide (LPS). Since the single-cell mathematical model is computationally expensive to simulate, a semi-stochastic model that combines a deterministic model with parameters that have distributions at the single-cell level is more viable than a stochastic model. This modeling approach requires an accurate deterministic model a priori. Motivated by above considerations, this work aimed to quantitatively calibrate the deterministic model that can simulate the average single-cell dynamics via a systematic approach, which combines single-cell experimental measurements and a parameter selection method, with the LPS-induced $\text{NF}\kappa\mathrm{B}$ signal pathway as an example case.

Ultraviolet (UV)-induced pigmentation is very common in clinical practice, but the current treatments are rarely effective, accompanied by some side effects. Ganoderma lucidum polysaccharide (GLP) is a natural antioxidant with no toxic side effects, which can antagonize UVB-induced fibroblast photo aging. The study aims to explore the role of GLP in inhibiting UVB-induced melanogenesis and its possible mechanism. The expression of melanogenesis genes such as microphthalmia-associated transcription factor (MITF), tyrosine (TYR), tyrosinase related protein 1 (TYRP1), tyrosinase related protein 2 (TYRP2), ras-related protein Rab-27A (Rab27A), and Myosin shows an upward trend after exposure of B16F10 and PIG1 cells to UVB irradiation, but GLP can downregulate the expression of genes related to UVB-induced melanogenesis. GLP can inhibit UVB-activated protein kinase A (PKA) and mitogen-activated protein kinase (MAPK) signaling pathways. Besides, GLP protects mitochondria from UVB damage and inhibits reactive oxygen species (ROS) production. Also, UVB-induced cyclic adenosine monophosphate (cAMP) can be inhibited. It has been found in the experiments of UVB-induced skin pigmentation in zebrafish that GLP is capable of inhibiting UVB-induced skin pigmentation. Meanwhile, it can greatly relieve erythema reaction in guinea pig skin caused by high-dosage UVB irradiation. In conclusion, this study shows that GLP can inhibit UVB-induced melanogenesis by antagonizing cAMP/PKA and ROS/MAPK signaling pathways and is a potential natural safe whitening sunscreen additive.

Due to the intrinsic stochasticity, the signaling dynamics in a clonal population of cells exhibit cell-to-cell variability at the single-cell level, which is distinct from the population-average dynamics. Frequently, flow cytometry is widely used to acquire the single-cell level measurements by blocking cytokine secretion with reagents such as Golgiplug™. However, Golgiplug™ can alter the signaling dynamics, causing measurements to be misleading. Hence, we developed a mathematical model to infer the average single-cell dynamics based on the flow cytometry measurements in the presence of Golgiplug™ with lipopolysaccharide (LPS)-induced NF κ B signaling as an example. First, a mathematical model was developed based on the prior knowledge. Then, average single-cell dynamics of two key molecules (TNF α and I κ B α ) in the NF κ B signaling pathway were measured through flow cytometry in the presence of Golgiplug™ to validate the model and maximize its prediction accuracy. Specifically, a parameter selection and estimation scheme selected key model parameters and estimated their values. Unsatisfactory results from the parameter estimation guided subsequent experiments and appropriate model improvements, and the refined model was calibrated again through the parameter estimation. The inferred model was able to make predictions that were consistent with the experimental measurements, which will be used to construct a semi-stochastic model in the future.

Ethnopharmacological relevance Chloasma, senile plaques, vitiligo and other pigmentary disorders seriously affect patients’ appearance and life quality. Medicinal plant is the product of long-term medical practice worldwide, with the advantages of outstanding curative properties and less side effects. Recently, research were made to explore the value of medicinal plants in the treatment of pigmentary disorders, and remarkable results were achieved. Aim of the review This review outlines the current understanding of the role and potential mechanisms of medicinal plants (including active ingredients, extracts and prescriptions) in pigmentary disorders, especially Chinese medicinal plants, provides the preclinical evidence for the clinical benefits. This study hopes to provide comprehensive information and reliable basis for exploring new therapeutic strategies of plant drugs in the treatment of skin pigmented diseases. Methods The literature information was obtained from the scientific databases (up to Oct, 2017), mainly from the PubMed, Web of Science and CNKI databases, and was to identify the experimental studies on the regulating melanogenesis role of the active agents from herbal medicine and the involved mechanisms. The search keywords for such work included: “pigmentary” or “pigmentation”, “melanogenesis”, and “traditional Chinese medicine” or “Chinese herbal medicine”, “herb”, “medicinal plant”. Results We summarized the function of medicinal plants involved in melanogenesis, especially Chinese medicine. It was reported that the active ingredients, extracts, or prescriptions of medicinal plants can regulate the expression of genes related to melanogenesis by affecting the signaling pathways such as MAPK and PKA, thereby regulating pigment synthesis. Some of them can promote melanogenesis (such as isoliquiritigenin, geniposide; Cornus officinalis Siebold & Zucc., Eclipta prostrata (L.) L.; the Bairesi complex prescription, etc.). While others have the opposite effect (such as biochanin A, Gomisin N; Panax ginseng C.A. Meyer, Nardostachys chinensis Bat.; Sanbaitang, etc.). Conclusion Asian medicinal plants, especially their active ingredients, have multilevel effects on melanogenesis by regulating melanogenesis-related genes or signaling pathways. They are of great clinical value for the treatment of skin pigmentary disorders. However, the experimental effect, safety, and functional mechanism of the medicinal plants require further determination before studying their clinical efficacy.

SUMMARY The gut microbiota plays a significant role in the progression of fatty liver disease; however, the mediators and their mechanisms remain to be elucidated. Comparing metabolite profile differences between germ-free and conventionally raised mice against differences between mice fed a low- and high-fat diet (HFD), we identified tryptamine and indole-3-acetate (I3A) as metabolites that depend on the microbiota and are depleted under a HFD. Both metabolites reduced fatty-acid- and LPS-stimulated production of pro-inflammatory cytokines in macrophages and inhibited the migration of cells toward a chemokine, with I3A exhibiting greater potency. In hepatocytes, I3A attenuated inflammatory responses under lipid loading and reduced the expression of fatty acid synthase and sterol regulatory element-binding protein-1c. These effects were abrogated in the presence of an aryl-hydrocarbon receptor (AhR) antagonist, indicating that the effects are AhR dependent. Our results suggest that gut microbiota could influence inflammatory responses in the liver through metabolites engaging host receptors., In Brief Dysbiosis of the intestinal microbiota is an emerging factor contributing to the progression of fatty liver disease. Krishnan et al. utilize metabolomics and biochemical assays in conjunction with animal and cell culture models to identify microbiota-dependent metabolites that engage a host receptor to affect liver inflammatory responses under lipid loading.