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Understanding  the  effect  of  sex  hormones  and  Lactobacilli  on  genital  epithelial     cell  func2ons     Hormone Alone - TNF-a

Hormone Alone - TNF-a

1Department  of  Pathology  and  Molecular  Medicine,  McMaster  Immunology  Research  Centre,  McMaster  University,  Hamilton,  ON.  2Department  of  Microbiology  and  Immunology,  Western  University,  London,  ON.   *

TNF-a pg/mL

5000

5000

0

0

M P A

P 4

E 2

N

H

M P A

E 2

H

N

M P A

P 4

P 4

Treatments

150 100

IL-1b pg/mL

IL-1b pg/mL

M P PA Percent Pre-Treatment 4

IL-8 pg/mL

IL-1a pg/mL

Percent Pre-Treatment

IL-1a pg/mL

IL-8 pg/mL

Percent Pre-Treatment

Percent Pre-Treatment

0.8

0.8 0.6 0.4

0.2

0

0.0

0.0

H

N

M P A

P 4

E 2

pa

C

ris

R

G

C

R

-1

-1

4

tNu sH

A

C on Mtro Pl

s

tu

L.

C

TNF-a pg/mL

L.

*

*

1000

** 1000

1000

800

800

GM-CSF pg/mL

s

pa

cr

is

C

L.

0

*

200 150

N

M P A

P 4

N

H

E 2

Percent Pre-Treatment* - L.0Crisp

400 200

M P A

M P P A 4 Percent Pre-TreatmentIL-1a pg/mL

P E 4 2

tu

4

-1

GM-CSF pg/mL R

-1

R

pa

is

cr

Treatments

p

ris

4

-1

-1

L.

R

C

C

R

G

C

L.

R

C on tro l

p

ris

4

C

R

G

C

L.

-1

-1

C on tro l

p ris

4 -1

C

R

G

C on tro l

tu

s

4

-1

R

C

R

M P A N

H

E N 2 H

IL-1aMPpg/mL Percent Pre-Treatment M TNF-a pg/mL P A P 4 GM-CSF pg/mL P A 4

E P4 2

L.

L.

N E2 H

-1

C on tro l

pa

is

cr

MIP-1aG pg/mL

IL-1b pg/mL

tu

s

4

R

C

R

G

H

N -1 R G

M P A

P 4

E 2

H

N

M P A

RANTES pg/mL

M P A

P 4

E 2

H N

20

30 20

Kruskal- Wallis = NS 10 Bonferonni = * between media/HIV Freidman = * between media/HIV an 0

Treatment 10

Treatments

B)  TNF-­‐α  

*

*

20

2000

**

10

M P A

50

P 4

N

H

E 2

0

Treatments

1000 500

H IV

-1

R C -1 4

G R -1

R

M ed ia

H IV +

-1 C R

+ G R -1

4

H IV

-1 R G

H IV

C -1 R 4 C -1 4 + H IV

0

0

M ed ia

*

1500

R

100

*

G

150

H IV

30

TNF-a pg/mL

RANTES pg/mL

40

M Percent Pre-Treatment of TER P A

P 4

E 2

N

H

RANTES pg/mL

M P A

P 4

E 2

H

N

A)  TER  

Hormone Alone - RANTES

40

M P A

Treatments

+

Hormone Alone - RANTES

P 4

H

E 2

0

N

N

Treatments

M P A

P 4

H

E 2

P 4

M P A

Treatments E 2

0

M P A N

N

H

E 2

Treatments

H

M P A P 4

P 4

E 2

H

N

M P A

P 4

E 2

N

H

GECs  pre-­‐treated  with  probio2c  lactobacilli  confer  protec2on  from  HIV-­‐1  mediated  barrier   Combined NH and P4 (TNF-a) disrup2on         0

H

0

RANTES pg/mL

G R -1

R

+

R

2000 Treatment

2000 Treatment 0

0

30

N

P 4

E 2

H

N

IL-1a pg/mL

C -1 R 4 C -1 4 + H IV

MH P IV A

4000

G

5000

P -1 4

0

Treatments

Treatments

Combined all hormones (TER)

•  To  date,  we  have  standardized  op2mal  2me  points  (6-­‐12  hours)  and  inocula2on  dose  (100  CFU/cell)  for   * * * the  addi2on  of  Lactobacillus  species  to  primary  genital  epithelial  cells   ** •  Preliminary  Results  show:     •  Probio2c  strains  of  lactobacilli  increase  GEC  barrier  func2ons   •  Hormones  do  not  alter  barrier  func2ons,  however  they  do  differen2ally  regulate  produc2on  of  pro-­‐ inflammatory  cytokines   •  E2  appears  to  have  an2-­‐inflammatory  effects  on  primary  GEC     •  Probio2c  lactobacilli  protect  the  epithelial  barrier  from  HIV  mediated  disrup2on   •  In  summary,  the  current  model  will  provide  insight  into  how  factors  in  the  genital  microenvironment  can   affect  epithelial  barrier  func2on  and  subsequent  HIV-­‐1  infec2on  in  the  FGT   150

100

50

L.

C

ris

s tu

pa

ACKNOWLEDGEMENTS   I   would   like   to   thank   Dr.   Kaushic   and   all   the   members   of   the   Kaushic   lab   for   their  valuable  input  and  assistance  in  this  project.  Dr.  Kaushic  is  the  recipient  of   an   Applied   HIV   Research   Chair   Award   from   the   OHTN.   This   study   is   funded   by   a   CIHR  HIV  Mucosal  Team  grant,  where  Dr.  Kaushic  is  the  team  leader.                

H IV

R C -1 4

+

-1

C

R

+

4

H IV

-1

R

G R -1

G

H IV

0

M ed ia

Percent Pre-Treatment of TER

4 4 4

4 -1 C R

pa R tu R C-1s RC 4 RC-1 C-14 -14 4

ris

C

Treatments

H

MCP-1 pg/mL

M P A

P 4

MCP-1 pg/mL

E 2

M P A

P E 4 2

M P P ATNF-a pg/mL 4

N

H

M P A

M P A

P 4

E 2

M P AN

H

E N 2 H

IL-10 pg/mL

P 4

E 2

H

N

0

H E I 2V

M P A

H

E P4 2

N E2 H

4000

N

M P A

P 4

6000

2.5

IL-6 pg/mL

H

5000

N

M P A

P 4

N

E 2

0

H

1.0 0

200

200

0

M Ned H ia

200

1.5

400

*

Treatments * Treatments

200

Figure 3: Effect of probiotic Lactobacillus strains GR-1 and RC-14, 0

1000

MCP-1 pg/mL

*

TNF-a pg/mL IL-1a pg/mL

400

600

M P A

IL-1a pg/mL

2.5 2.0

H

800

Hormone Alone - IL-10

P 4

Treatment

600

E 2

H

IL1a - NB

N

P 4

M P A

0

P 4

Treatments

0

1000

N

P 4

M P A

*

E 2

1000

2000

IL-6Epg/mL 2

2000

E 2

2

TNF-a pg/mL

3000

Treatment

600

400

15000 genital epithelial cells were grown in the presence or absence of 15000 0 800 physiological concentrations of female sex hormones, E2 (10-9) and P4 2.0 2.0 TNFa - GR1 TNFa - L. crisp TNFa RC14 -7) or hormonal -9 Combined NH and P4 (TNF-a) 600 600 (10 contraceptive, 10000 10000 MPA (10 ) and exposed to Lactobacillus Treatments Treatments *** 1.5 3000 3000 Treatments 1.5 *** spp. (GR-1, RC-14) at *** a concentration of 100 CFU/cell for 12 hours. A) 400 400 1.0 *** 1.0 TER measurements were observed at time 0 and 12 hours post bacterial 5000 2000 2000 200 5000 200 0.5 exposure. TERs are expressed as percent pre-treatment of initial TER at 0 0.5 0 0 * * * * 1000 hours 1000 on the x-axis. A minimum of five replicates per experimental 0.0 0 2000 0.0 0 condition were included. B-C) Apical supernatants were collected and Treatments Treatments 0 Treatments assayed 0by Millipore multi-analyte kit for the following cytokines: IL-1α and * Treatments Treatments 1500 IL1a - GR1 IL1a - RC14 IL1a - L. crisp TNF-α, and are expressed as pg/mL of cytokine production. Two replicates Treatment Treatment Treatment 800 800 per experimental condition were included. Data was analyzed by KruskalHormone Alone - MCP-1 1000 Hormone Alone - MCP-1 600 600 * Hormone Alone IL-6 Hormone Alone - 15000 IL-6 Hormonewith Alone - RANTES Wallis- non-parametric analysis of variance Dunn’s test to correct for Ho 15000 ** 8000 40 8000 400 40 500 multiple400comparisons *p