
Citation: Vandana Gulati, Mansi Dass Singh, Pankaj Gulati. Role of mushrooms in gestational diabetes mellitus[J]. AIMS Medical Science, 2019, 6(1): 49-66. doi: 10.3934/medsci.2019.1.49
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The head groups of membrane lipids have either single charge (e.g. tetraether lipids [1], phosphatidic acid (PA), phosphatidylserine (PS), phosphatidylethanolamine (PE), and phosphatidylinositol (PI)) or electric dipole (e.g. phospholipids, such as dimyristoyl-, dipalmitoyl- and distearoylphosphatidyl choline (DMPC, DPPC and DSPC, respectively)).
Between lipids containing head groups with electric dipole there is short range interaction, i.e. where the two-body potential decays algebraically at large distances with a power equal or larger than the spatial dimension [2]. Theoretical models of lipid membranes usually focus on systems where there is short range lateral interactions between nearest neighbor lipids [3],[4] because it is enough to consider only the interactions between nearest-neighbor lipid molecules. It is much more difficult to model a lipid membrane containing single charged head groups [5]. Between lipids with single charged head groups there is long range interaction, i.e. where the two-body potential decays algebraically at large distances with a power smaller than the spatial dimension [2] and thus modeling this system one has to consider the entire system rather than the interactions between the nearest-neighbor lipids. In order to get closer to the solution of this problem recently we developed a generalized version of Newton's Shell Theorem [6],[7] to calculate the electric potential, V around a surface-charged sphere (of radius R1) surrounded by electrolyte at a distance Z from the center of the sphere (see also Eqs 9,10 in ref.7):
where
Using the Screened Poisson Equation (Eq A4) one can calculate the potential energy of an electrolyte that contains also external charges. The external charges are embedded into the electrolyte (like the charges of the surface-charged sphere) but not part of the electrolyte itself. For the solution one has to know the charge density of the external charges (see Eq 4 in ref.7 or Eq A5 in Appendix 1), i.e. distribution of the charges on the surface-charged sphere and not the distribution of the ions in the electrolyte. In our case it is assumed that the charges on the surface of the sphere are homogeneously distributed and in this case Eqs 1,2 is the exact solution of the Screened Poisson Equation.
Note that recently by using Eqs 1,2 electric energies have been calculated [10], such as the electric potential energy needed to build up a surface-charged sphere, and the field and polarization energy of the electrolyte inside and around the surface-charged sphere.
In this paper the density of electric field energy is calculated around two surface-charged spheres where the smaller sphere is located inside the larger one and the entire system is embedded in neutral electrolyte. This system is close to a charged vesicle [1] or to a cell [11] where charged lipids are located both on the outer and inner leaflet of the membrane, i.e. two concentric surface-charged spheres. It also models an eukaryote [12] where neutral phospholipids such as sphingomyelin and zwitterionic phosphatidylcholine are located primarily in the outer leaflet of the plasma membrane, and most anionic phospholipids, such as phosphatidic acid (PA), phosphatidylserine (PS), phosphatidylethanolamine (PE), and phosphatidylinositol (PI) are located in the inner leaflet of the plasma membrane (represented by the large surface-charged sphere of our model). Eukaryotes also have a single nucleus enveloped by double layer of lipid membranes which may contain charged lipids too (representing the smaller surface-charged sphere of our model). Note that these two charged spheres of an eukaryote are not necessarily concentric. Finally, our model is generalized for the case when the large surface-charged sphere contains several smaller surface-charged spheres. This system may also model osteoclast cells [12] containing many nuclei.
In this work the density of the electric field energy inside and outside of two surface-charged spheres are calculated at different locations. The density of the electric field energy at a point can be calculated by the following equation [13]:
where E is the vector of the electric field strength at the considered point, ϵ0 is the absolute vacuum permittivity and ϵr is the relative permittivity of the electrolyte.
Here by using the recently generalized Shell Theorem [7] we calculate the density of electric field energy, uF produced by two surface-charged spheres (see Figure 1) surrounded outside and inside by electrolyte where the smaller sphere is located inside the larger sphere.
Z: the distance between the centers of the spheres (dashed blue line); R1 and RL is the radius of the smaller and larger sphere, respectively; D1 and DL is the distance between point P1 and the center of the smaller and larger sphere, respectively; E1 and EL is the field strength created in point P1 by the smaller and larger surface-charged sphere, respectively.
The origin of the coordinate system (x, y) is attached to the center of the larger sphere and the coordinates of point P1 are xp and yp. The coordinates of the center of the larger and smaller sphere are
In order to calculate the density of electric field energy one has to determine the electric field strength (see Eq 3), i.e. the gradient of the electric potential. The potential produced by the smaller sphere, V1 at a distance D1 from its center can be calculated by Eqs 1,2 (or Eqs 9,10 in ref.[7]). The electric field strength created by the smaller sphere at point P1 (see Figure 1) is:
where
where λD is the Debye length and
Similarly, the electric field strength created by the large sphere at point P1 (i.e. at a distance DL from its center; see Figure 1) is:
where one can construct
Here by using
Inside a large surface-charged sphere of radius
Dotted red line:
The connection point between the large sphere and the small sphere (represented by orange circle in
and
where x1 is the x coordinate of the center of the small sphere.
Dotted red line:
Dotted red line:
Note in
It is also important to note that
In this work the solution of the screened Poisson equation ([7] and Eq A5 in Appendix 1) is used to calculate the field energy density around two surface-charged spheres where the small sphere is located inside the large sphere. This solution is not restricted to small potentials (<< 25 mV) like in the case of the Debye-Hückel approximation of the Poisson-Boltzmann equation [9] where the superposition principle is not applicable either. This is an important advantage because the measured absolute value of the Zeta potentials of the cells are usually higher than 25 mV (e.g. –57.89 ± 22.63 mV on ARO cells, –40.41 ± 5.10 mV on C32TG cells, −46.99 ± 18.71 mV on RT4 cells, –40.13 ± 9.28 mV on TK cells, and −43.03 ± 5.52 mV on UM-UC-14 cells [14].
The considered two spheres (with homogeneously charged surfaces) electrically interact. If the lateral movement of the charges on the spheres would not be restricted the interaction of the smaller sphere (located inside the larger sphere) with the larger sphere would result in inhomogeneous distribution of the surface charges on both spheres. However, the free lateral diffusion of proteins and lipids are usually restricted in biological membranes not only by direct collisions with structures where immobile proteins are crowded, but also by electrostatic deflection, hydrophobic mismatches, and other mechanisms [15].
The density of the electric field energy depends on the electric field strength (Eq 3), i.e. the gradient of the electric potential (Eqs 4,6). In the case of a single surface-charged sphere surrounded by electrolyte with low ion concentration the potential inside the sphere is close to constant (see red curve in Figure 3A in ref. [7]) and thus the absolute value of the electric field strength is close to zero. On the other hand, outside the sphere the absolute value of the potential and also the electric field strength decrease with increasing distance from the surface of the sphere (see red curve in Figure 3A in ref. [7]). At higher electrolyte ion concentration, because of the increased screening effect, the absolute value of the potential and also the electric field strength decrease faster with increasing distance from the surface of the sphere. In this case inside the sphere toward its center the absolute value of the potential and the electric field strength also decrease (see curves in Figure 3A,B in ref. [7]).
In this work two surface-charged spheres (with the same surface charge density) are considered where the smaller sphere is located inside the larger sphere. The above mentioned electric properties of a single surface-charged sphere remain the same for the smaller sphere (located inside a larger sphere) if the surfaces of the spheres are far enough from each other (farther than 4 λD), i.e. the absolute value of the potential decreases close to zero between the surfaces of the two spheres. However, when part of the surfaces of the two spheres are close enough to each other one sphere contributes to the potential and electric field strength around the other sphere. The electric field energy density is particularly high at the place where the surfaces of the two spheres touch each other. This maximal electric field energy density is very close to the outer surface of the larger sphere. Thus one can detect at the outer surface of the erythrocyte when the nucleus is getting close.
The electric field energy density has maximum when the horizontal line crosses the circles in
This maximal electric field energy density is very close to the outer surface of the larger sphere (
In general the first maximum of uF (see the left maximum in Figures 3–5) is getting smaller when the center of the small sphere approaches the center of the large sphere. This is the case because the interaction between the spheres is reducing when the average distance between the surfaces of the two spheres is increasing.
In the case of horizontal lines where
When the location of the center of the small and large sphere is identical (i.e.
When
In the case of
Cross # | xP [m] | uF [J] | E1x [V/m] | ELx [V/m] | E1y [V/m] | ELy [V/m] |
Z = 0.8 RL | ||||||
1 | −9.9·10−7 | 7.4·107 | 1.8·108 | 2.47·108 | −1.42·108 | −3.74·107 |
2 | −9.4·10−7 | 2.2·107 | 2.29·108 | −1.16·108 | −2.45·108 | 1.86·107 |
3 | −6.6·10−7 | 4.65·107 | −2.29·108 | −5.45·107 | −2.45·108 | 1.24·107 |
4 | 9.9·10−7 | 2.15·107 | −9.7·104 | −2.47·108 | −8.2·103 | −3.74·107 |
Z = 0.5 RL | ||||||
1 | −9.9·10−7 | 2.73·107 | 3·107 | 2.47·108 | −9.22·106 | −3.74·107 |
2 | −6.4·10−7 | 2.97·107 | 2.29·108 | −5.16·107 | −2.45·108 | 1.2·107 |
3 | −3.6·10−7 | 4.1·107 | −2.29·108 | −2.2·107 | −2.45·108 | 9.16·106 |
4 | 9.9·10−7 | 2.15·107 | −3.2·105 | −2.47·108 | −3.22·104 | −3.74·107 |
Z = 0.0 RL | ||||||
1 | −9.9·10−7 | 2.2·107 | 2.6·106 | 2.47·108 | −3.97·105 | −3.74·107 |
2 | −1.4·10−7 | 3.63·107 | 2.29·108 | −7.6·106 | −2.45·108 | 8.17·106 |
3 | 1.4·10−7 | 3.63·107 | −2.29·108 | 7.6·106 | −2.45·108 | 8.17·106 |
4 | 9.9·10−7 | 2.2·107 | −2.6·106 | −2.47·108 | −3.97·105 | −3.74·107 |
For example in the case of
As an other example in the case of
Finally, the analytical equation, Eq 7, for the calculation of the electric field energy density of two surface-charged spheres (the smaller sphere located inside the larger sphere), can be generalized for the case when N small surface-charged spheres are located inside the large sphere (see Appendix 2). Also when the radius of the smaller sphere approaches zero the total surface charge of the smaller sphere, Q1 approaches zero too and consequently the electric field strength of the smaller sphere, E1 approaches zero. Thus, based on Eq 7 one can calculate the field energy density around a single charged sphere by:
Based on the generalized version of Newton's Shell Theorem [7] the electric field energy density, uF around two surface-charged spheres surrounded by electrolyte where the smaller sphere is inside the larger one is analytically calculated. According to the calculations when the surfaces of the spheres are farther from each other than four times of the Debye length the field energy density around and inside the smaller sphere is basically independent from the presence of the larger sphere. The electric field energy density is maximal when the smaller sphere touches the inner surface of the larger sphere and the maximum of uF is located at the touching point on the outer surface of the larger sphere.
[1] |
Buchanan TA, Xiang AH (2005) Gestational diabetes mellitus. J Clin Invest 115: 485–491. doi: 10.1172/JCI200524531
![]() |
[2] |
Konstanze M, Holger S, Mathias F (2012) Leptin, adiponectin and other adipokines in gestational diabetes mellitus and pre-eclampsia. Clin Endocrinol 76: 2–11. doi: 10.1111/j.1365-2265.2011.04234.x
![]() |
[3] |
Bellamy L, Casas JP, Hingorani AD, et al. (2009) Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet 373: 1773–1779. doi: 10.1016/S0140-6736(09)60731-5
![]() |
[4] | Bener A, Saleh NM, Al-Hamaq A (2011) Prevalence of gestational diabetes and associated maternal and neonatal complications in a fast-developing community: global comparisons. Int J Women's Health 3: 367–373. |
[5] |
Reece EA, Leguizamón G, Wiznitzer A (2009) Gestational diabetes: the need for a common ground. Lancet 373: 1789–1797. doi: 10.1016/S0140-6736(09)60515-8
![]() |
[6] |
Hod M, Kapur A, Sacks DA, et al. (2015) The International Federation of Gynecology and Obstetrics (FIGO) Initiative on gestational diabetes mellitus: A pragmatic guide for diagnosis, management, and care. Int J Gynecol Obstet 131: S173–S211. doi: 10.1016/S0020-7292(15)30033-3
![]() |
[7] |
Craig WJ (2010) Nutrition Concerns and Health Effects of Vegetarian Diets. Nutr Clin Pract 25: 613–620. doi: 10.1177/0884533610385707
![]() |
[8] |
De Silva DD, Rapior S, Hyde KD, et al. (2012) Medicinal mushrooms in prevention and control of diabetes mellitus. Fungal Divers 56: 1–29. doi: 10.1007/s13225-012-0187-4
![]() |
[9] |
Martel J, Ojcius DM, Chang CJ, et al. (2017) Anti-obesogenic and antidiabetic effects of plants and mushrooms. Nat Rev Endocrinol 13: 149–160. doi: 10.1038/nrendo.2016.142
![]() |
[10] | Royse DJ, Singh M (2014) A global perspective on the high five: Agaricus, Pleurotus, Lentinula, Auricularia & Flammulina, 1–6. |
[11] | Valverde ME, Hernndez-Prez T, Paredes-Lopez O (2015) Edible Mushrooms: Improving Human Health and Promoting Quality Life. Int J Microbiol 2015: 376387. |
[12] |
Horowitz S (2011) Medicinal Mushrooms: Research Support for Modern Applications of Traditional Uses. Altern Complem Ther 17: 323–329. doi: 10.1089/act.2011.17602
![]() |
[13] | Mohamed M, Nassef D, Waly E, et al. (2012) Earliness, Biological efficiency and basidiocarp yield of Pleurotus ostreatus and P. columbinus oyster mushrooms in response to different sole and mixed substrates. Assiut J Agric Sci 43: 91–114. |
[14] |
Gargano ML, van Griensven LJ, Isikhuemhen OS, et al. (2017) Medicinal mushrooms: Valuable biological resources of high exploitation potential. Plant Biosys 151: 548–565. doi: 10.1080/11263504.2017.1301590
![]() |
[15] | Deepalakshmi K, Mirunalini S (2011) Therapeutic properties and current medical usage of medicinal mushroom: Ganoderma lucidum. Inter J Pharm Sci Res 2: 1922–1929. |
[16] |
Klupp NL, Kiat H, Bensoussan A, et al. (2016) A double-blind, randomised, placebo-controlled trial of Ganoderma lucidum for the treatment of cardiovascular risk factors of metabolic syndrome. Sci Rep 6: 29540. doi: 10.1038/srep29540
![]() |
[17] |
Holliday JC, Cleaver MP (2008) Medicinal Value of the Caterpillar Fungi Species of the Genus Cordyceps (Fr.) Link (Ascomycetes). A Review. Int J Med Mushrooms 10: 219–234. doi: 10.1615/IntJMedMushr.v10.i3.30
![]() |
[18] |
Firenzuoli F, Gori L, Lombardo G (2008) The Medicinal Mushroom Agaricus blazei Murrill: Review of Literature and Pharmaco-Toxicological Problems. Evid Based Complement Alternat Med 5: 3–15. doi: 10.1093/ecam/nem007
![]() |
[19] |
Vitak T, Yurkiv B, Wasser S, et al. (2017) Effect of medicinal mushrooms on blood cells under conditions of diabetes mellitus. World J Diabetes 8: 187–201. doi: 10.4239/wjd.v8.i5.187
![]() |
[20] |
Lei H, Guo S, Han J, et al. (2012) Hypoglycemic and hypolipidemic activities of MT-α-glucan and its effect on immune function of diabetic mice. Carbohydr Polym 89: 245–250. doi: 10.1016/j.carbpol.2012.03.003
![]() |
[21] |
Khan MA, Tania M (2012) Nutritional and medicinal importance of Pleurotus mushrooms: An overview. Food Rev Int 28: 313–329. doi: 10.1080/87559129.2011.637267
![]() |
[22] |
Vitak TY, Wasser SP, Nevo E, et al. (2015) Structural Changes of Erythrocyte Surface Glycoconjugates after Treatment with Medicinal Mushrooms. Int J Med Mushrooms 17: 867–878. doi: 10.1615/IntJMedMushrooms.v17.i9.70
![]() |
[23] |
Maschio BH, Gentil BC, Caetano ELA, et al. (2017) Characterization of the Effects of the Shiitake Culinary-Medicinal Mushroom, Lentinus edodes (Agaricomycetes), on Severe Gestational Diabetes Mellitus in Rats. Int J Med Mushrooms 19: 991–1000. doi: 10.1615/IntJMedMushrooms.2017024498
![]() |
[24] |
Chen YH, Lee CH, Hsu TH, et al. (2015) Submerged-Culture Mycelia and Broth of the Maitake Medicinal Mushroom Grifola frondosa (Higher Basidiomycetes) Alleviate Type 2 Diabetes-Induced Alterations in Immunocytic Function. Int J Med Mushrooms 17: 541–556. doi: 10.1615/IntJMedMushrooms.v17.i6.50
![]() |
[25] |
Rony KA, Ajith TA, Janardhanan KK (2015) Hypoglycemic and Hypolipidemic Effects of the Cracked-Cap Medicinal Mushroom Phellinus rimosus (Higher Basidiomycetes) in Streptozotocin-Induced Diabetic Rats. Int J Med Mushrooms 17: 521–531. doi: 10.1615/IntJMedMushrooms.v17.i6.30
![]() |
[26] |
Yurkiv B, Wasser SP, Nevo E, et al. (2015) The Effect of Agaricus brasiliensis and Ganoderma lucidum Medicinal Mushroom Administration on the L-arginine/Nitric Oxide System and Rat Leukocyte Apoptosis in Experimental Type 1 Diabetes Mellitus. Int J Med Mushrooms 17: 339–350. doi: 10.1615/IntJMedMushrooms.v17.i4.30
![]() |
[27] | Jayasuriya WJ, Suresh TS, Abeytunga D, et al. (2012) Oral hypoglycemic activity of culinary-medicinal mushrooms Pleurotus ostreatus and P. cystidiosus (higher basidiomycetes) in normal and alloxan-induced diabetic Wistar rats. Int J Med Mushrooms 14: 347–355. |
[28] |
Ganeshpurkar A, Kohli S, Rai G (2014) Antidiabetic potential of polysaccharides from the white oyster culinary-medicinal mushroom Pleurotus florida (higher Basidiomycetes). Int J Med Mushrooms 16: 207–217. doi: 10.1615/IntJMedMushr.v16.i3.10
![]() |
[29] |
Lei H, Guo S, Han J, et al. (2012) Hypoglycemic and hypolipidemic activities of MT-alpha-glucan and its effect on immune function of diabetic mice. Carbohydr Polym 89: 245–250. doi: 10.1016/j.carbpol.2012.03.003
![]() |
[30] |
Zhang Y, Hu T, Zhou H, et al. (2016) Antidiabetic effect of polysaccharides from Pleurotus ostreatus in streptozotocin-induced diabetic rats. Int J Biol Macromol 83: 126–132. doi: 10.1016/j.ijbiomac.2015.11.045
![]() |
[31] |
Zhou S, Liu Y, Yang Y, et al. (2015) Hypoglycemic Activity of Polysaccharide from Fruiting Bodies of the Shaggy Ink Cap Medicinal Mushroom, Coprinus comatus (Higher Basidiomycetes), on Mice Induced by Alloxan and Its Potential Mechanism. Int J Med Mushrooms 17: 957–964. doi: 10.1615/IntJMedMushrooms.v17.i10.50
![]() |
[32] |
Jeong SC, Jeong YT, Yang BK, et al. (2010) White button mushroom (Agaricus bisporus) lowers blood glucose and cholesterol levels in diabetic and hypercholesterolemic rats. Nutr Res 30: 49–56. doi: 10.1016/j.nutres.2009.12.003
![]() |
[33] |
Kiho T, Sobue S, Ukai S (1994) Structural features and hypoglycemic activities of two polysaccharides from a hot-water extract of Agrocybe cylindracea. Carbohydr Res 251: 81–87. doi: 10.1016/0008-6215(94)84277-9
![]() |
[34] |
Gray AM, Flatt PR (1998) Insulin-releasing and insulin-like activity of Agaricus campestris (mushroom). J Endocrinol 157: 259–266. doi: 10.1677/joe.0.1570259
![]() |
[35] |
Wisitrassameewong K, Karunarathna SC, Thongklang N, et al. (2012) Agaricus subrufescens: A review. Saudi J Biol Sci 19: 131–146. doi: 10.1016/j.sjbs.2012.01.003
![]() |
[36] |
Kerrigan RW (2005) Agaricus subrufescens, a cultivated edible and medicinal mushroom, and its synonyms. Mycologia 97: 12–24. doi: 10.1080/15572536.2006.11832834
![]() |
[37] |
Niwa A, Tajiri T, Higashino H (2011) Ipomoea batatas and Agarics blazei ameliorate diabetic disorders with therapeutic antioxidant potential in streptozotocin-induced diabetic rats. J Clin Biochem Nutr 48: 194–202. doi: 10.3164/jcbn.10-78
![]() |
[38] |
Vincent HK, Innes KE, Vincent KR (2007) Oxidative stress and potential interventions to reduce oxidative stress in overweight and obesity. Diabetes Obes Metab 9: 813–839. doi: 10.1111/j.1463-1326.2007.00692.x
![]() |
[39] |
Hu XY, Liu CG, Wang X, et al. (2017) Hpyerglycemic and anti-diabetic nephritis activities of polysaccharides separated from Auricularia auricular in diet-streptozotocin-induced diabetic rats. Exp Ther Med 13: 352–358. doi: 10.3892/etm.2016.3943
![]() |
[40] |
Ding ZY, Lu YJ, Lu ZX, et al. (2010) Hypoglycaemic effect of comatin, an antidiabetic substance separated from Coprinus comatus broth, on alloxan-induced-diabetic rats. Food Chem 121: 39–43. doi: 10.1016/j.foodchem.2009.12.001
![]() |
[41] |
Lv YT, Han LN, Yuan C, et al. (2009) Comparison of Hypoglycemic Activity of Trace Elements Absorbed in Fermented Mushroom of Coprinus comatus. Biol Trace Elem Res 131: 177–185. doi: 10.1007/s12011-009-8352-7
![]() |
[42] |
Guo JY, Han CC, Liu YM (2010) A Contemporary Treatment Approach to Both Diabetes and Depression by Cordyceps sinensis, Rich in Vanadium. Evid Based Complement Alternat Med: 7: 387–389. doi: 10.1093/ecam/nep201
![]() |
[43] |
Nie S, Cui SW, Xie MY, et al. (2013) Bioactive polysaccharides from Cordyceps sinensis: Isolation, structure features and bioactivities. Bioact Carbohydrates Dietary Fibre 1: 38–52. doi: 10.1016/j.bcdf.2012.12.002
![]() |
[44] |
Pan D, Zhang D, Wu JS, et al. (2013) Antidiabetic, Antihyperlipidemic and Antioxidant Activities of a Novel Proteoglycan from Ganoderma Lucidum Fruiting Bodies on db/db Mice and the Possible Mechanism. PLoS One 8: e68332. doi: 10.1371/journal.pone.0068332
![]() |
[45] |
Hong L, Xun M, Wutong W (2007) Anti-diabetic effect of an alpha-glucan from fruit body of maitake (Grifola frondosa) on KK-Ay mice. J Pharm Pharmacol 59: 575–582. doi: 10.1211/jpp.59.4.0013
![]() |
[46] |
Chaiyasut C, Sivamaruthi BS (2017) Anti-hyperglycemic property of Hericium erinaceus – A mini review. Asian Pac J Trop Biomed 7: 1036–1040. doi: 10.1016/j.apjtb.2017.09.024
![]() |
[47] |
Liang B, Guo ZD, Xie F, et al. (2013) Antihyperglycemic and antihyperlipidemic activities of aqueous extract of Hericium erinaceus in experimental diabetic rats. BMC Complement Altern Med 13: 253. doi: 10.1186/1472-6882-13-253
![]() |
[48] |
Geng Y, Lu ZM, Huang W, et al. (2013) Bioassay-Guided Isolation of DPP-4 Inhibitory Fractions from Extracts of Submerged Cultured of Inonotus obliquus. Molecules 18: 1150–1161. doi: 10.3390/molecules18011150
![]() |
[49] |
Wang J, Wang C, Li S, et al. (2017) Anti-diabetic effects of Inonotus obliquus polysaccharides in streptozotocin-induced type 2 diabetic mice and potential mechanism via PI3K-Akt signal pathway. Biomed Pharmacother 95: 1669–1677. doi: 10.1016/j.biopha.2017.09.104
![]() |
[50] |
Bisen P, Baghel RK, Sanodiya BS, et al. (2010) Lentinus edodes: A macrofungus with pharmacological activities. Curr Med Chem 17: 2419–2430. doi: 10.2174/092986710791698495
![]() |
[51] | Wahab NAA, Abdullah N, Aminudin N (2014) Characterisation of Potential Antidiabetic-Related Proteins from Pleurotus pulmonarius (Fr.) Quél. (Grey Oyster Mushroom) by MALDI-TOF/TOF Mass Spectrometry. Biomed Res Int 2014: 131607. |
[52] | Badole SL, Patel NM, Thakurdesai PA, et al. (2008) Interaction of Aqueous Extract of Pleurotus pulmonarius (Fr.) Quel-Champ. with Glyburide in Alloxan Induced Diabetic Mice. Evid Based Complement Alternat Med 5: 159–164. |
[53] |
Kiho T, Morimoto H, Kobayashi T, et al. (2000) Effect of a polysaccharide (TAP) from the fruiting bodies of Tremella aurantia on glucose metabolism in mouse liver. Biosci Biotechnol Biochem 64: 417–419. doi: 10.1271/bbb.64.417
![]() |
[54] |
Kiho T, Kochi M, Usui S, et al. (2001) Antidiabetic effect of an acidic polysaccharide (TAP) from Tremella aurantia and its degradation product (TAP-H). Biol Pharm Bull 24: 1400–1403. doi: 10.1248/bpb.24.1400
![]() |
[55] |
Cho EJ, Hwang HJ, Kim SW, et al. (2007) Hypoglycemic effects of exopolysaccharides produced by mycelial cultures of two different mushrooms Tremella fuciformis and Phellinus baumii in ob/ob mice. Appl Microbiol Biotechnol 75: 1257–1265. doi: 10.1007/s00253-007-0972-2
![]() |
[56] |
Fu M, Wang L, Wang XY, et al. (2018) Determination of the Five Main Terpenoids in Different Tissues of Wolfiporia cocos. Molecules 23: 1839. doi: 10.3390/molecules23081839
![]() |
[57] |
Esteban CI (2009) Medicinal interest of Poria cocos (Wolfiporia extensa). Rev Iberoam Micol 26: 103–107. doi: 10.1016/S1130-1406(09)70019-1
![]() |
[58] |
Li Y, Zhang J, Li T, et al. (2016) A Comprehensive and Comparative Study of Wolfiporia extensa Cultivation Regions by Fourier Transform Infrared Spectroscopy and Ultra-Fast Liquid Chromatography. PLoS One 11: e0168998. doi: 10.1371/journal.pone.0168998
![]() |
[59] |
Shafrir E, Spielman S, Nachliel I, et al. (2001) Treatment of diabetes with vanadium salts: general overview and amelioration of nutritionally induced diabetes in the Psammomys obesus gerbil. Diabetes Metab Res Rev 17: 55–66. doi: 10.1002/1520-7560(2000)9999:9999<::AID-DMRR165>3.0.CO;2-J
![]() |
[60] |
Clark TA, Deniset JF, Heyliger CE, et al. (2014) Alternative therapies for diabetes and its cardiac complications: role of vanadium. Heart Fail Rev 19: 123–132. doi: 10.1007/s10741-013-9380-0
![]() |
[61] | Gruzewska K, Michno A, Pawelczyk T, et al. (2014) Essentiality and toxicity of vanadium supplements in health and pathology. J Physiol Pharmacol 65: 603–611. |
[62] |
Halberstam M, Cohen N, Shlimovich P, et al. (1996) Oral vanadyl sulfate improves insulin sensitivity in NIDDM but not in obese nondiabetic subjects. Diabetes 45: 659–666. doi: 10.2337/diab.45.5.659
![]() |
[63] | Huang HY, Korivi M, Chaing YY, et al. (2012) Pleurotus tuber-regium Polysaccharides Attenuate Hyperglycemia and Oxidative Stress in Experimental Diabetic Rats. Evid Based Complement Alternat Med 2012: 856381. |
[64] |
Huang HY, Korivi M, Yang HT, et al. (2014) Effect of Pleurotus tuber-regium polysaccharides supplementation on the progression of diabetes complications in obese-diabetic rats. Chin J Physiol 57: 198–208. doi: 10.4077/CJP.2014.BAC245
![]() |
[65] |
Kobayashi M, Kawashima H, Takemori K, et al. (2012) Ternatin, a cyclic peptide isolated from mushroom, and its derivative suppress hyperglycemia and hepatic fatty acid synthesis in spontaneously diabetic KK-A(y) mice. Biochem Biophys Res Commun 427: 299–304. doi: 10.1016/j.bbrc.2012.09.045
![]() |
[66] | Laurino LF, Viroel FJM, Pickler TB, et al. (2017) Functional foods in gestational diabetes: Evaluation of the oral glucose tolerance test (OGTT) in pregnant rats treated with mushrooms. Reprod Toxicol 72: 36. |
[67] | Jayasuriya WJ, Wanigatunge CA, Fernando GH, et al. (2015) Hypoglycaemic activity of culinary Pleurotus ostreatus and P. cystidiosus mushrooms in healthy volunteers and type 2 diabetic patients on diet control and the possible mechanisms of action. Phytother Res 29: 303–309. |
[68] | Gao Y, Lan J, Dai X, et al. (2004) A Phase I/II Study of Ling Zhi Mushroom Ganoderma lucidum (W.Curt.:Fr.) Lloyd (Aphyllophoromycetideae) Extract in Patients with Type II Diabetes Mellitus. Int J Med Mushrooms 6: 327-334. |
[69] |
Friedman M (2016) Mushroom Polysaccharides: Chemistry and Antiobesity, Antidiabetes, Anticancer, and Antibiotic Properties in Cells, Rodents, and Humans. Foods 5: 80. doi: 10.3390/foods5040080
![]() |
[70] |
Lo HC, Wasser SP (2011) Medicinal mushrooms for glycemic control in diabetes mellitus: history, current status, future perspectives, and unsolved problems (review). Int J Med Mushrooms 13: 401–426. doi: 10.1615/IntJMedMushr.v13.i5.10
![]() |
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Cross # | xP [m] | uF [J] | E1x [V/m] | ELx [V/m] | E1y [V/m] | ELy [V/m] |
Z = 0.8 RL | ||||||
1 | −9.9·10−7 | 7.4·107 | 1.8·108 | 2.47·108 | −1.42·108 | −3.74·107 |
2 | −9.4·10−7 | 2.2·107 | 2.29·108 | −1.16·108 | −2.45·108 | 1.86·107 |
3 | −6.6·10−7 | 4.65·107 | −2.29·108 | −5.45·107 | −2.45·108 | 1.24·107 |
4 | 9.9·10−7 | 2.15·107 | −9.7·104 | −2.47·108 | −8.2·103 | −3.74·107 |
Z = 0.5 RL | ||||||
1 | −9.9·10−7 | 2.73·107 | 3·107 | 2.47·108 | −9.22·106 | −3.74·107 |
2 | −6.4·10−7 | 2.97·107 | 2.29·108 | −5.16·107 | −2.45·108 | 1.2·107 |
3 | −3.6·10−7 | 4.1·107 | −2.29·108 | −2.2·107 | −2.45·108 | 9.16·106 |
4 | 9.9·10−7 | 2.15·107 | −3.2·105 | −2.47·108 | −3.22·104 | −3.74·107 |
Z = 0.0 RL | ||||||
1 | −9.9·10−7 | 2.2·107 | 2.6·106 | 2.47·108 | −3.97·105 | −3.74·107 |
2 | −1.4·10−7 | 3.63·107 | 2.29·108 | −7.6·106 | −2.45·108 | 8.17·106 |
3 | 1.4·10−7 | 3.63·107 | −2.29·108 | 7.6·106 | −2.45·108 | 8.17·106 |
4 | 9.9·10−7 | 2.2·107 | −2.6·106 | −2.47·108 | −3.97·105 | −3.74·107 |
Cross # | xP [m] | uF [J] | E1x [V/m] | ELx [V/m] | E1y [V/m] | ELy [V/m] |
Z = 0.8 RL | ||||||
1 | −9.9·10−7 | 7.4·107 | 1.8·108 | 2.47·108 | −1.42·108 | −3.74·107 |
2 | −9.4·10−7 | 2.2·107 | 2.29·108 | −1.16·108 | −2.45·108 | 1.86·107 |
3 | −6.6·10−7 | 4.65·107 | −2.29·108 | −5.45·107 | −2.45·108 | 1.24·107 |
4 | 9.9·10−7 | 2.15·107 | −9.7·104 | −2.47·108 | −8.2·103 | −3.74·107 |
Z = 0.5 RL | ||||||
1 | −9.9·10−7 | 2.73·107 | 3·107 | 2.47·108 | −9.22·106 | −3.74·107 |
2 | −6.4·10−7 | 2.97·107 | 2.29·108 | −5.16·107 | −2.45·108 | 1.2·107 |
3 | −3.6·10−7 | 4.1·107 | −2.29·108 | −2.2·107 | −2.45·108 | 9.16·106 |
4 | 9.9·10−7 | 2.15·107 | −3.2·105 | −2.47·108 | −3.22·104 | −3.74·107 |
Z = 0.0 RL | ||||||
1 | −9.9·10−7 | 2.2·107 | 2.6·106 | 2.47·108 | −3.97·105 | −3.74·107 |
2 | −1.4·10−7 | 3.63·107 | 2.29·108 | −7.6·106 | −2.45·108 | 8.17·106 |
3 | 1.4·10−7 | 3.63·107 | −2.29·108 | 7.6·106 | −2.45·108 | 8.17·106 |
4 | 9.9·10−7 | 2.2·107 | −2.6·106 | −2.47·108 | −3.97·105 | −3.74·107 |