- Academic Editors
†These authors contributed equally.
Background: Floccularia luteovirens (Alb. & Schwein.) Pouzar,
is an extremely rare edible and medicinal mushroom in China. The crude
polysaccharides of F. luteovirens (FLPs) has significant antioxidant and
anti-inflammation activities and exerts excellent protective functions in diabetic
nephropathy (DN) complications, but the material basis of the pharmacological
effects of FLPs and the molecular mechanism of its pharmacological action are
still unclear. Methods: First, we performed systemic composition
analysis on extracted and isolated FLPs. Next, the spontaneous db/db mouse DN
model was used to investigate the mitigation and protection functions of FLPs in
DN and the underlying mechanism through the mammalian target of the rapamycin
(mTOR)/GSK-3
Diabetes mellitus (DM), a chronic metabolic disorder characterized primarily by persistent hyperglycemia and abnormal blood lipids, affects tissues and organs throughout the body [1]. The number of DM patients in China is the highest in the world, and DM has become one of the world’s most serious and critical health issues [2, 3, 4]. The deleterious effects of diabetes are reflected in a variety of long-lasting complications that are difficult to cure, and diabetic nephropathy (DN) has become one of the most important factors influencing the high morbidity and mortality rate for DM [5]. Among DM patients, the incidence of DN is 30–40% [1]. DN is a common and serious complication of chronic microvascular disease, and can cause end-stage renal and chronic kidney disease (ESRD) [6].
The pathogenesis of DM and its complications is complex and diverse. Increasing
evidence indicates that oxidative stress is a crucial mechanism in the
development of DM. Oxidative stress and inflammation are important factors that
regulate and influence the occurrence and development of DN. There is a strong
connection between oxidative stress and inflammation, as they influence and
promote each other [7]. DN-related oxidative stress is caused by an increase in
reactive oxygen species (ROS) and a decrease in antioxidant activity in the body.
The oxidative stress is mainly induced by disruption of activation of the
transcription nuclear factor erythroid-2 related factor 2 (NRF2). NRF2 is a
redox-sensitive transcription factor, which plays an important protective role in
regulating the physiological responses to oxidative stress in the body by
regulating genes that encode phase-II detoxifying enzymes and antioxidant
proteins. By targeting NRF2, cell protective genes associated with the
antioxidant response are activated to inhibit oxidative stress and inflammatory
responses. Glycogen synthase kinase 3
There is currently no safe and ideal therapeutic drug for DM and DN. Therefore, early therapeutic measures targeting DM and DN are needed to develop preventive and therapeutic drugs that are stable, highly effective, and widely available and have low toxic side effects. Fungal polysaccharides have excellent biological activities, such as lowering blood sugar, and antioxidant, anti-inflammatory, and antitumor properties [15, 16], and have become a focus of the pharmaceutical and food industries. Floccularia luteovirens (Alb. & Schwein.) Pouzar, also known as Armillaria luteovirens, is referred to throughout China as “Qilian yellow mushroom”. It belongs to the Basidiomycota, Agaricomycotina, Agaricomycetes, Agaricales, Agaricaceae, Floccularia species [17, 18]. It grows in summer and autumn on grasslands or alpine meadows at an altitude of 2500–4800 m and usually forms mycorrhiza with Kobresia plants [19]. It is mainly distributed in Qinghai, Tibet, and Sichuan. In addition, it is also distributed in other provinces such as Hebei, Shaanxi and Gansu [18, 20].
Our previous studies involved exploratory investigations of the anti-type 2 DM activities of water extract of Floccularia luteovirens (FLW) and crude polysaccharides of Floccularia luteovirens (FLPs). The results indicated that FLW and FLPs had significant antioxidant and antiinflammation activities and exerted excellent protective functions in DN complications [21, 22]. However, the pharmacological effects of FLPs and the molecular mechanism of their pharmacological actions are still unclear, and both need to be further studied.
First, we performed systemic composition analysis on extracted and isolated
FLPs. Next, the spontaneous db/db mouse DN model was applied to investigate the
mitigation and protection functions of FLPs on DN and the underlying mechanism
through the mammalian target of rapamycin (mTOR)/GSK-3
The fruiting bodies of F. luteovirens were collected from Sêrxü County of Ganzi Autonomous Prefecture in Sichuan Province and identified by Professor Yu Li. The specimen was stored in the Herbarium of Mycology of Jilin Agricultural University (HMJAU) under specimen number HMJAU44964.
Fruiting bodies were placed in a drying oven, dried at 55 ℃ to a constant weight, crushed, and passed through an 80-mesh sieve. After degreasing with petroleum ether and 95% ethanol, crude polysaccharides were extracted using the classic water-extraction and alcohol-precipitation method [23, 24]. After the majority of proteins were removed using the papain enzyme-Sevag method, FLPs were obtained after dialysis (mw cutoff: 3500 Da) and lyophilization. The detailed extraction procedures are shown in Fig. 1.
Extraction and isolation of FLPs.
In this study, we used the phenol-sulfuric acid method [25], direct titration method [26], Kjeldahl determination (UDK169, VELP, Italy) [27], UV spectrophotometry [28], and periodate oxidation method [29] to analyze the levels of total sugars, reducing sugars, proteins, total flavonoids, and mannitol in FLP samples. The hydrolyzed amino acids in FLPs were determined by an automatic analyzer (Hitachi L-8900, Kyoto, Japan). The fatty acid levels were analyzed by the Gas chromatography mass spectrometry method (QP2010, Shimadzu, Kyoto, Japan) [30]. The mineral elements were analyzed using inductively coupled plasma optical emission spectrometry (ICP-OES) (Varian 720-ES, Varian, Palo Alto, CA, USA) and inductively coupled plasma mass spectrometry (ICP-MS) (BRUKER aurora M90, MA, USA) [30, 31].
Eight-week-old male db/m+ and db/db grade mice without specific pathogens (SPF)
were provided by the Biomedical Research Institute of Nanjing University. The
license of experimental animals was SCXK (Su) 2015-0001. The feeding temperature
of the experimental animals was 23
After 1 week of adaptive feeding, all animals were used for experiments. A total
of 10 db/m+ mice were considered as the controls (CK). The db/db mice with blood
glucose
After drug administration for 8 weeks, db/db mice were fasted overnight (at
least 12 h) after the last drug administration, drank water freely, and a OGTT
was then performed. The weights and fasting blood glucose levels in mice were
gauged. Mice in each group received intragastric administration of 2.0 g/kg
glucose solution, and blood samples were obtained from the tail vein at 0, 30,
90, 120 and 240 minutes after intragastric administration to measure blood
glucose levels. The area under the curve (AUC) of glucose was assessed by the
trapezoidal method [32]: AUC = (blood glucose value at 0 min + blood glucose
value at 30 min)
Serum collection: After 8 weeks of drug administration, mice were fasted for 12
h and drank freely. Blood specimens were collected from the retroorbital
plexus and centrifuged rapidly for 10 min (3000 rpm). The supernatant was
aspirated, and mouse serum specimens were obtained. For collection of organs:
mice were sacrificed by cervical dislocation and rapidly dissected. Kidney,
spleen, and liver tissues were collected and weighed. The remaining tissues were
fixed in 4% paraformaldehyde or stored in a –80
Glutathione peroxidase (GSH-Px), superoxide dismutase (SOD), catalase (CAT),
high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol
(LDL-C), triglyceride (TG) and total cholesterol (TC) levels in serum samples
were measured with ELISA kits. In addition, SOD, CAT, GSH-Px, ROS, tumor necrosis
factor-
The 4% paraformaldehyde was used to fix spleen and kidney tissues. After
dehydration, paraffin was used for kidney tissues embedding, then cut into slices
(thickness of approximately 5
The RIPA protein lysis buffer solution containing 1% protease inhibitor
cocktail (cocktail P8340, Sigma-Aldrich, USA) and 2% PMSF (phenyl methyl
sulfonyl fluoride) (P7626, Sigma-Aldrich, USA), which stored at low temperature
for 10 minutes, were used to extract total protein from an appropriate amount of
kidney tissue. After centrifugation, the protein content in supernatant was
measured using the bicinchoninic acid protein assay kit (Merck Millipore, Darmstadt, Germany).
Loading buffer was added into the protein sample. After denaturation at 95
The results data were expressed as mean
Systemic composition analysis of the chemical composition of the FLPs samples indicated that FLPs comprised 65.0% total sugars, 7.2% reducing sugars, 7.93% proteins, and 0.36% total flavonoids, whereas mannitol was not detectable (Table 1). FLPs contained 17 types of amino acids including lysine at 0.949%, phenylalanine at 0.837%, glutamic acid at 0.753%, and aspartic acid at 0.674% (Table 2). The levels of 35 types of fatty acids in FLPs were measured, and the results indicated that FLPs contained 13 types of fatty acids (‰), such as oleic acid (43.50), palmitic acid (35.97), linoleic acid (25.47), stearic acid (13.19), elaidic acid (3.69) and arachidonic acid (2.48) (Table 3). FLPs contained 8 mineral elements. Potassium (K), calcium (Ca), and cupper (Cu); heavy metals were not detected (Table 4).
Compounds | Contents (%) |
---|---|
Total sugar | 65.00 |
Reducing sugar | 7.20 |
Total protein | 7.93 |
Flavonoids | 0.359 |
Mannitol | ND① |
ND①: not detected (the detection limit was 0.1 g/100 g). |
Compounds | Contents (%) | Compounds | Contents (%) |
---|---|---|---|
Glutamic acid (Glu) | 0.753 | Lysine (Lys) | 0.949 |
Aspartic acid (Asp) | 0.674 | Phenylalanine (Phe) | 0.837 |
Glycine (Gly) | 0.593 | Arginine (Arg) | 0.581 |
Serine (Ser) | 0.386 | Tyrosine (Tyr) | 0.467 |
Alanine (Ala) | 0.253 | Leucine (Leu) | 0.413 |
DL-Methionine (Met) | 0.243 | Isoleucine (Iso) | 0.298 |
Valine (Val) | 0.198 | Histidine (His) | 0.205 |
L-Threonine (Thr) | 0.116 | Proline (Pro) | 0.180 |
Compounds | Contents (‰) | Compounds | Contents (‰) | Compounds | Contents (‰) |
Capric acid (C10:0) | 0.45 | Heptadecenoic acid (C17:1n7) | ND② | Arachidonic acid (C20:4n6) | 2.48 |
Heptadecanoic acide (C17:0) | 1.02 | Arachidic acid (C20:0) | ND② | Docosadienoic acid (C22:2n6) | ND② |
Hexadecanoic acid (C16:0) | 35.97 | Eicosadienoic acid (C20:2) | 0.04 | Docosahexaenoic acid (C22:6n3) | ND② |
Lauric acid (C12:0) | ND② | Eicosaenoic acid (C20:1) | ND② | Docosanoic acide (C22:0) | ND② |
Myristic acid (C14:0) | ND② | Heneicosanoic acid (C21:0) | ND② | Eicosapentaenoic acid (C20:5n3) | 1.37 |
Myristoleic acid (C14:1n5) | ND② | Linoleic acid (C18:2n6c) | 25.47 | Eicosatrienoic acid (C20:3n3) | 1.27 |
Octoic acid (C8:0) | ND② | Oleic acid (C18:1n9) | 43.5 | Eicosatrienoic acid (C20:3n6) | 1.25 |
Palmitoleic acid (C16:1n7) | ND② | Stearic acid (C18:0) | 13.19 | Erucic acid (C22:1n9) | ND② |
Pentadecanoic acid (C15:0) | 0.33 | Trans-linoleic acid (C18:2n6t) | ND② | Nervonic acid (C24:1n9) | ND② |
Pentadecenoic acid (C15:1n5) | ND② | Trans-oleic acid (C18:1n9t) | 3.69 | Tetracosanoic acid (C24:0) | ND② |
Tridecanoic acide (C13:0) | ND② | ND② | Tricosanoic acid (C23:0) | ND② | |
Undecanoic acid (C11:0) | ND② | ND② | |||
ND②: not detected at the detection limit of 0.05 mg/kg. |
Compounds | Contents (‰) | Compounds | Contents (mg/kg) |
Kalium (K) | 137.10 | Cuprum (Cu) | 43.14 |
Natrium (Na) | 2.57 | Arsenic (As) | ND⑥ |
Calcium (Ca) | 20.86 | Mercury (Hg) | ND⑤ |
Ferrum (Fe) | 0.30 | Lead (Pb) | ND④ |
Zinc (Zn) | 0.17 | ||
Selenium (Se) | ND③ | ||
Manganece (Mn) | 0.03 | ||
Chromium (Cr) | 0.002 | ||
ND③: not detected at the detection limit of 5 mg/kg. ND④: not detected at the detection limit of 2 mg/kg. ND⑤: not detected at the detection limit of 3 mg/kg. ND⑥: not detected at the detection limit of 1 mg/kg. |
Compared with db/m+ mice, the body weight of untreated db/db mice was
approximately 2–3 times higher and showed a significantly increasing trend; in
addition, the fasting blood glucose level significantly increased, and liver,
spleen, and kidney indicators significantly decreased (p
week | control | model | 100 mg/kg Met | 100 mg/kg FLPs | 200 mg/kg FLPs | 400 mg/kg FLPs | |
Body weights (g) | 1 | 20.5 |
40.9 |
43.0 |
39.7 |
42.6 |
42.2 |
3 | 21.1 |
43.7 |
45.0 |
41.1 |
45.6 |
42.2 | |
5 | 21.0 |
47.3 |
43.2 |
41.8 |
46.8 |
46.2 | |
7 | 21.9 |
50.8 |
48.0 |
43.0 |
49.7 |
48.3 | |
9 | 20.7 |
53.6 |
50.6 |
44.3 |
53.4 |
48.5 | |
Plasma glucose (mmol/L) | 1 | 5.7 |
18.3 |
18.0 |
19.1 |
17.4 |
20.7 |
3 | 6.7 |
18.7 |
18.4 |
18.6 |
16.1 |
21.8 | |
5 | 6.5 |
18.1 |
17.8 |
21.1 |
17.6 |
21.2 | |
7 | 6.7 |
21.6 |
16.0 |
17.9 |
14.8 |
19.3 | |
9 | 6.4 |
20.4 |
13.4 |
17.7 |
13.1 |
20.6 | |
organ indexs (g) | Liver | 41.89 |
60.29 |
64.43 |
68.49 |
66.93 |
69.10 |
Spleen | 3.07 |
1.48 |
1.32 |
1.27 |
1.96 |
1.34 | |
Kidney | 12.92 |
7.37 |
7.02 |
10.40 |
8.36 |
9.73 | |
The data were analyzed by one-way ANOVA and were expressed as means |
One-hour plasma glucose (1-h PG), an accurate predictor of type 2 DM [33]. OGTTs were conducted in the mice in all groups. Fasting blood glucose levels at 0 min were measured first. After the intragastric administration of 2.0 g/kg glucose solution, the levels of glucose in all groups began to significantly increase. Compared to the model group, the AUC of the time-blood glucose curve showed a decreasing trend in the FLPs drug administration groups, indicating that FLPs accelerated glucose metabolism to reduce the blood glucose levels after intragastric administration of glucose (Fig. 2).
The AUC changes of oral glucose tolerance of db/db mice.
Type 2 DM is usually accompanied by abnormal blood lipid metabolism, usually
manifesting as significantly increased levels of LDL-C, TG, and TC, and
significantly decreased levels of HDL-C [34]. The results showed that compared
with db/m+ group, the serum TC and TG values of the db/db model group increased,
while the HDL-C values decreased indicating that db/db mice had significant serum
lipid metabolism abnormalities. After the administration of FLPs, serum TG and TC
levels decreased significantly (p
Effects of FLPs on blood lipid metabolism in db/db mice. (a) The
serum levels of TG; (b) the serum levels of TC, and (c) the serum levels of HDL-C
in db/db mice compared to db/m+ mice.
Oxidative stress is the unifying pathogenesis with respect to complications in
DM. If the ability to clear ROS and RNS is weak, resulting a lack of homeostasis,
a large amount of ROS will accumulate, causing cell injury. High blood glucose
results in the excessive production of acetyl-CoA to produce more ROS and promote
the progression of complications such as DM and DN [35, 36]. CAT is expressed in
many tissues, such as serum, kidney and liver, and catalyzes the conversion of
H
Compared with untreated db/db mice, in db/db mice, the serum CAT and GSH-Px
values were increased after administration with 200 mg/kg FLPs (Fig. 4a,b), and
the serum SOD values were increased after administered with 100 mg/kg and 400
mg/kg FLPs (p
Effects of FLPs on the Serum Antioxidant Ability of Mice. (a)
The serum levels of CAT; (b) the serum levels of GSH-Px, and (c) the serum levels
of SOD in db/db mice compared to db/m+ mice.
Compared with untreated db/db mice, the values of GSH-Px and SOD in the kidney
were significantly increased in db/db mice administered with 200 mg/kg FLPs
(p
Effects of FLPs on the Kidney Antioxidant Ability in Mice. (a)
GSH-Px, (b) SOD, (c) CAT, and (d) ROS in the kidney of db/db mice compared to
db/m+ mice.
More and more evidence indicated that type 2 DM is an inflammatory disease. The
low-grade inflammation in DN is different from classic inflammation and is often
referred to as microinflammation. Many cytokines are closely related to the
occurrence and progression of type 2 DM and its complications [39, 40, 41]. The levels
of cytokines and inflammatory factors, i.e., TNF-
Effects of FLPs on Kidney Inflammation. The levels of IL-2 (a),
NAG (b), IFN-
The histopathological examination of kidney (A: H&E staining
The potential mechanism of action of FLPs in DN was investigated using western
blots. Compared to those in db/m+ mice, the expression levels of phosphorylated
GSK-3
FLPs treatment regulated the expressions of P-mTor,
P-GSK3
This study used the spontaneously obese diabetic db/db mouse model to investigate therapeutic functions and mechanisms of action of FLPs in DN. The results indicated that FLPs inhibited excessive increases in mouse body weight, alleviated obesity symptoms in db/db mice to some extent, improved blood glucose control, and reduced DN changes in db/db mice. In addition FLPs did not cause toxic side effects, since changes in organ indicators were not significant. A significant improvement in oral glucose tolerance was observed in db/db mice when FLPs were administered. More than half of DM patients will develop lipid metabolism disorders that promote glomerulosclerosis and pathological changes related to DN. The main presentations are hypertriglyceridemia, increased LDL-C, and reduced HDL-C, eventually resulting in inflammatory factor release, resulting in proteinuria, kidney injury and kidney dysfunction. Experimental results showed that FLPs had significant inhibitory functions on TC and TG; therefore, they had certain blood lipid-lowering functions.
Increasing evidence indicates that the activities of many antioxidases in the body of DM patients decrease and that the redox status is imbalanced, thus producing oxidative stress [42, 43]. In this study, the effects of FLPs on the activities of CAT, GSH-Px and SOD in the serum and kidney of mice were studied. The results showed that FLPs significantly increased the activities of these enzymes, reduced ROS production in kidney tissue, enhanced antioxidant activity in the body, and reduced oxidative stress and kidney injury.
Several studies have indicated that DN is an inflammatory disease
(microinflammation) and is different from classic inflammation. In a high-glucose
environment, many cytokines and inflammatory factors are involved in the
occurrence and development of DN. mTOR (PIKK)
is an important substrate of AKT (protein kinase B, PKB). mTOR regulates many
cellular functions and plays a critical role in DM, obesity, inflammation,
tumors, and cardiovascular disease [44]. In addition, some studies have shown
that the AMPK/mTOR signaling pathway can regulate the homeostasis imbalance of
autophag
y in the kidney. In DN, hyperglycemia and advanced glycation end products
can inhibit the AMPK/mTOR signal transduction pathway, down-regulate autophagy,
and accelerate the development of DN progression. This process provides a reference
to further study the mechanism of the purified polysaccharide of FLPs on DN in
the future. High blood glucose, vascular endothelial growth factor (VEGF),
connective tissue growth factor (CTGF), and transforming growth factor beta 1
(TGF-
This study demonstrated the protective function of FLPs against oxidative stress
in DM and DN complications and confirmed that FLPs negatively regulated NRF2
by inhibiting of GSK-3
All data generated or analyzed during this study are included in this published article.
HW, DL and YL designed the research study. HW and YY performed the research. SW, CL and CC provided help and advice on the research. HW and XW analyzed the data. HW and YY wrote the manuscript. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript.
All animal experiments were performed strictly according to the regulations for the use of experimental animals and the Animal Welfare Law of China and approved by Animal Experimental Ethical Inspection Form of Changchun University of Chinese Medicine (Approval No. 20190036).
The authors thank Prof. Di Wang of Jilin Agricultural University for providing advice on the research.
This research was funded by the National Key Research and Development Program of China (No. 2021YFD1600401), Jilin Province Science and Technology Development Plan Project (No. 20210401121YY), Central Public-interest Scientific Institution Basal Research Fund (No. 1630042022003), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA28080300), China Agriculture Research System, grant number CARS-20, and the Hainan Provincial Natural Science Foundation of China (No. 322QN365).
The authors declare no conflict of interest.
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