RT Journal Article
SR Electronic
T1 Effect of vitamin D levels on natural killer cells in diabetes mellitus patients with tuberculosis
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP P2685
VO 44
IS Suppl 58
A1 Meenakshi Ponnana
A1 Ramya Sivangala
A1 Lavanya Joshi
A1 Shruthi Thada
A1 Vijaya Lakshmi Valluri
A1 Suman latha Gaddam
YR 2014
UL http://erj.ersjournals.com/content/44/Suppl_58/P2685.abstract
AB It is increasingly apparent that Natural Killer(NK) cells play crucial role in innate defense mechanism against Mycobacterium tuberculosis(M.tb).Diabetes mellitus (DM) is a predisposing factor that alters immunity to Tuberculosis(TB).Further NK cell function depends on adequate levels of Vitamin D, an important regulator of immune system.A total of 150 subjects,TB patients(TB),DM patients with TB(TBDM),their household contacts (HHC),DM patients and Healthy Controls(HC) 25 each in which,CD4,CD8,CD16 & CD56 cell counts were enumerated.Vitamin D levels in serum,IFN-γ & IL-10 levels in M.tb antigen (Ag 85A)stimulated culture supernatants were estimated by ELISA(pg/ml) and ARMS-PCR was carried out to study the SNP's using specific primers. CD56 & CD16 NK cells were significantly low in TBDM patients,their HHC & and DM patients with deficient levels of vitamin D compared to HC (p<0.005) indicating that HHC are prone to develop the disease.The mean IFN-γ cytokine levels were significant for (TB 6.74±4.1423.66±14.96; p<0.0004 & TBDM 6.17±4.42; 32.08±8.8 p<0.03); for IL-10 (9.88±3.45; 34.18±11.74 p<0.04 in TB 70.74±16.5; 14.37±4.14 p<0.01 in TBDM & 69.01±15.29; 13.99±3.9; p<0.01 in DM) compared to HC. AA & AT genotypes of IFN-γ (p<0.009; 95% C.I 0.266-0.853; P<0.032 95% C.I 1.038-2.653 in TB & P< 0.037 95% C.I. 0.261-0.991; p<0.001 95% C.I. 1.349-4.208 in DM); GA & GG genotypes of IL-10 -1082G/A were significantly associated in all the subjects (p< 0.0001). In HHC of the patients, low serum Vitamin D levels and decrease cell count may predispose to TB infection. Hence the study may help in identifying the high risk individuals.