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36

VOLUME 13 NUMBER 1 • JULY 2016

RESEARCH ARTICLE

SA JOURNAL OF DIABETES & VASCULAR DISEASE

controlling NCDs in Uganda. A national NCD risk-factor survey

should however be undertaken to avoid biased generalisation of

results, as Kasese is not a representative population of Uganda.

Acknowledgements

We thank DANIDA through the Danish NCD Alliance – Uganda NCD

Alliance partnership for financial support for the data collection.

We also thank Dr Bahendeka Silver for his contribution during the

initial design of the study protocol. Ms Susanne Vilquarzt of the

Danish NCD Alliance was helpful in writing the grant application

to DANIDA. Ms Wandera Rebecca was helpful in data capture

and analysis. We thank the entire field staff in Kasese for the data

collection. We are grateful to Dr Hassan Sebina, the management

and staff at Kagando Hospital and Alcomed Clinics for their

invaluable input.

References

1.

Lopez D, Mathers C, Ezzati M Jamison T, Murray C, eds.

Global Burden of Disease

and Risk Factors

. New York: Oxford University, 2006.

2.

Kengne AP, Amoah AGB, Mbanya JC. Cardiovascular complications of diabetes

mellitus in sub-Saharan Africa.

Circulation

2005;

112

: 3592–3601.

3.

Greenberg H, Raymond SU, Leeder SR. Cardiovascular disease and global health:

threat and opportunity.

Health Affairs

2005;

24

: 31–41.

4.

Strong K, Mathers C, Leeder S, Beaglehole R. Preventing chronic diseases: how

many lives can we save?

Lancet

2005;

366

: 1578–1582.

5.

Greenberg H, Raymond SU, Leeder SR. Cardiovascular disease and global health:

threat and opportunity.

Health Affairs

2005;

24

: 31–41.

6.

Hyder AA, Liu L, Morrow RH, Ghaffer A; Global Forum for Health Research.

Application of Burden of Disease Analyses in Developing Countries, 2006.

7.

International Diabetes Federation.

Diabetes Atlas

. 2nd edn. Brussels, 2003.

8.

Lasky D, Becerra E, Boto W, Otim M, Ntambi J. Obesity and gender differences in

the risk of type 2 diabetes mellitus in Uganda.

Nutrition

2002;

18

: 417–421.

9.

WHO. Disease burden estimates.

http://www.who.int/healthinfo/global_burden_

disease/estimates_country/en/index.html. 2009.

10. Maher D, Smeeth L, Sekajugo J. Health transition in Africa: practical policy

proposals for primary care.

Bull World Health Org

2010;

88

: 943–948. doi:

10.2471/BLT.10.077891.

11. Maher D, Harries AD, Zachariah R, Enarson D. A global framework for action

to improve the primary care response to chronic non-communicable diseases:

a solution to a neglected problem.

BMC Public Health

2009;

9

: 355. doi:

10.1186/1471–2458-9-355.

12. Lins NE, Jones CM, Nilson JR. New frontiers for the sustainable prevention and

control of non-communicable diseases (NCDs): a view from sub-Saharan Africa.

Glob Health Promot

2010;

17

: 27–30. doi: 10.1177/1757975910363927.

13. McCarthy M, Maher D, Ly A, Ndip A. Developing the agenda for European Union

collaboration on non-communicable diseases research in Sub-Saharan Africa.

Health Res Policy Syst

2010;

8

: 13. doi: 10.1186/1478-4505-8-13.

14. Unwin N, Setel P, Rashid S, Mugusi F, Mbanya JC, et al. Noncommunicable

diseases in sub-Saharan Africa: where do they feature in the health research

agenda?

Bull World Health Org

2001;

79

: 947–953.

15. World Health Organisation Regional Office for South-East Asia. Research priorities

in noncommunicable diseases. Kathmandu, Nepal. 2009. Available: http://www.

searo.who.int/LinkFiles/Non_Communicable_Diseases_Research_priorities. pdf.

Accessed 29 Nov 2010.

16. Mensah GA. Epidemiology of stroke and high BP in Africa.

Heart

2008;

94

: 697–

705. doi: 10.1136/hrt.2007.127753.

17. World Health Organization. Noncommunicable Diseases and Mental Health

Cluster. WHO STEPS Surveillance Manual: The WHO STEPwise Approach to Chronic

Disease Risk Factor Surveillance. Geneva: World Health Organization, 2005.

P

revious reports suggest that the

kallikrein-kinin system (KKS) could

be involved in insulin sensitisation and

glucose homeostasis. The KKS consists

of serine protease tissue kallikrein-1

(KLK-1), kinogens, bradykinin (BK) and lys-

bradykinin. BK has been shown to increase

insulin sensitivity and glucose uptake in rat

models; however, the role of KLK-1 is not

well known.

KLK-1 is a ‘ubiquitous 238 amino

acid glycoprotein [that] exists as a

heterogeneous mixture of glycoforms

due to variable glycosylation at three

potential sites’, according to a study

published recently in

PLoS One

. In pre-

clinical studies, KLK-1 has been shown to

significantly decrease blood pressure, and

insulin, glucose, plasma triglyceride and

cholesterol levels. However, these benefits

of KLK-1 were not characterised in terms

of dose, glycoform profile or activity.

To further investigate the characteristics

and benefits of KLK-1 for type 2 diabetes,

A novel treatment for type 2 diabetes patients

Kolodka and colleagues designed a

pre-clinical study involving DM199, a

recombinant human tissue kallikrein-1

protein (rhKLK-1). In this study, DM199

was produced from Chinese hamster ovary

cells. Its specific activity was measured

in

vitro

by cleavage of the substrate D-Val-Leu-

Arg-7 amido-4-trifluoromethyl coumarin,

and compared to the activity of porcine

kininogenase standard acquired from the

National Institute for Biological Standards

and Control. After the purification process,

DM199 was injected into obese rats and

mice for fasting blood glucose and oral

glucose tolerance tests.

The results from hyperinsulinaemic–

euglycaemic clamp studies indicated that

DM199 helped increase glucose infusion

rates and glucose disposal in non-diabetic

rats. In obese db/db mice, a single dose of

360 µg/kg of DM199 could significantly

reduce fasting blood glucose (FBG) and

post-prandial glucose levels. In Zucker

diabetic fatty (ZDF) rats, sub-acute dosing

of DM199 for seven days also increased

fasting insulin levels significantly. After the

sub-acute dosing period, FBG levels in ZDF

rats remained lower than controls during

the wash-out period.

According to the authors, the low FBG

levels observed in the rats after medium

and high doses of DM199 may have

been due to a protective effect on beta-

cell function or the stimulation effect on

insulin secretion. Based on the results of

this study, DM199 could be a potential

novel therapy for type 2 diabetes patients

due to its anti-hyperglycaemic effect.

1.

Kolodka T, Charles ML, Raghavan A,

et al

.

Preclinical characterization of recombinant

human tissue kallikrein-1 as a novel treatment

for type 2 diabetes mellitus.

PLoS One

2014;

9

(8):

e103981.Endocrinol 2014 August 6.

2.

http://www.plosone.org/article/info%

3Adoi%2F10.1371%2Fjournal.pone.0103981.

3.

http://www.diabetesincontrol.com/index.

php?option=com_content&view=article&id=167

91&catid=1&Itemid=17.