Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Impact of tea drinking upon tuberculosis: a neglected issue

  • Mengshi Chen1, 2,
  • Jing Deng1,
  • Wufei Li3,
  • Dan Lin1,
  • Congxu Su4,
  • Mian Wang1,
  • Xun Li1,
  • Benjamin Kwaku Abuaku1, 5,
  • Hongzhuan Tan1Email author and
  • Shi Wu Wen1, 6
BMC Public Health201515:515

https://doi.org/10.1186/s12889-015-1855-6

Received: 24 August 2014

Accepted: 19 May 2015

Published: 29 May 2015

Abstract

Background

Tuberculosis (TB) is a global public health issue posing serious harm to the human health. Many studies have suggested that smoking and excessive alcohol consumption are risk factors for TB. Laboratory evidence suggests that EGCG in tea leaves can arrest the growth of tubercle bacillus. Can drinking tea lead to decreased susceptibility of TB in humans?

Methods

A total of 574 TB patients and 582 healthy controls were recruited to participate in this case–control study. Self-designed questionnaire was used to collect data. Unconditioned logistic regression analysis was conducted to identify the associations between tea drinking and TB.

Results

Tea drinking has a negative association with TB, with OR = 0.583(0.423, 0.804) and P < 0.05. Drinking black tea, oolong and green tea are all negative association with TB, with OR being 0.683(0.517, 0.902), 0.674(0.508, 0.894) and 0.534(0.349, 0.817) respectively and P < 0.05. Trend χ2 test indicated a decreasing risk for TB with increased tea consumption, with P < 0.05.

Conclusion

There is a significance negative association between tea drinking and TB. Promoting the consumption of tea as the daily drink among populations, particularly those with high TB risk, may reduce the incidence of TB in the populations.

Keywords

Tuberculosis tea

Background

Tuberculosis is a global public health issue posing serious harm to the human health. It is estimated that there were 8.6 million TB patients in 2012 globally [1]. China has the second highest TB burden in the world. According to the 5th TB epidemiological sampling survey in 2010 in China [2], the TB prevalence was 459/100,000 among people aged 15 years and above.

Many studies have suggested that smoking and excessive alcohol consumption are risk factors for TB. To date, there is no population study focused on the impact of tea drinking on Tuberculosis. The biological functions of catechins contained in tea leaves have drawn much interest recently. Tea is the second most highly consumed beverage after water [3]. Many studies have shown that tea drinking is beneficial for health in addition to preventing, and in some cases, alleviating certain health ailments, including inflammatory response [46], obesity [79], cardiovascular diseases [1012], autoimmune diseases [1317], neurodegenerative diseases [18] and tumors [1922].

Laboratory evidence suggests that epigallocatechin-3-gallate (EGCG) in tea leaves can arrest the growth of tubercle bacillus by inhibiting the activity of InhA, the enoyl-acyl carrier protein reductase in tubercle bacillus [23]. It can also inhibit the survival of tubercle bacillus within macrophages by inhibiting the TACO (tryptophan-aspartate containing coat protein) gene transcription within macrophages [24]. The question then remains: Can drinking tea lead to decreased susceptibility of TB in humans? The case control study was used to explore the association between tea drinking and TB.

Methods

Sources of cases

Stratified sampling method was used to randomly select four county-level CDCs (i.e. Qidong County CDC, Yueyanglou District CDC, Yueyang County CDC and Hongjiang City CDC) using the random number table among 122 counties/cities/districts in Hunan Province, and then randomly select cases from all TB patients newly registered in 2009 by the four county-level CDCs. Cases of TB are diagnosed according to anatomical site of disease, bacteriological results, history of previous treatment and HIV status of the patient. Each of these key features of TB cases was discussed in World Health Organization Report [25]. Patients with HIV/TB co-infection were excluded. Patients who stopped receiving medications or were previously treated were also excluded.

Sources of healthy controls

Stratified sampling method was used to randomly select one community health service center (i.e. Xingang Community Health Service Center) using the random number table among 14 community health service centers in Kaifu District, Changsha City, and then randomly select one community (i.e. Xin'ansi Community) from six communities covered by Xingang Community Health Service Center. The control group consists of healthy people without abnormalities in chest X-ray. Because the ratio of male to female TB patients was about 2.5:1 in Hunan [26], the healthy controls were selected from permanent residents in Xin'ansi Community by a gender-age frequency matching method. All controls were confirmed free from active TB. Although the cases and controls was selected from different district, both of them is Han nationality, all the districts with the same TB control policy and measures, very close distance (in Hunan province), and very similar economic level and life manners and customs in different district population, such as in tea drinking habit.

Ethical statement

The work met relevant ethical guidelines. Written informed consent was obtained from all subjects of this research, in accordance with the guidelines of Central South University Ethics Review Committee. The protocol was also approved by Central South University Ethics Review Committee. Investigations were conformed to the principles outlined in the declaration of Helsinki.

Data collection

Self-designed questionnaire was used to collect data. All the TB patients were asked to recall the situation of exposures when they came to CDCs for the confirmed diagnosis of TB. Data on exposure to tea drinking were collected through self-reporting by participants. In the survey, the respondents were asked if they are regular tea drinkers, if so the major concerns then centered around their tea drinking habits including frequency, duration and tea leaf choices. Questions about average monthly tea consumption include: how many grams of tea leaves a consumer buys every time, how many family members drink the tea, and how long it takes for them to finish it. Exposure to tea drinking is defined as at least one cup of tea drinking per week on average for over six months. Average monthly tea consumption is calculated by the duration of this consumption from a certain number of family members of a certain amount of tea leaves.

Statistical analysis

Epidata3.0 was used to input data and SAS9.2 was used to analyze the data. Chi square test was conducted for the comparison of grouped data. Logistic regression was used for multivariate analysis. All tests of hypothesis were two tailed with a type 1 error rate fixed at 5 %.

Results

The study participants included 574 TB patients and 582 healthy controls. The TB patient group and the healthy control group exhibited no difference in statistical significance (P > 0.05) in terms of sex, age, marital status, education background and alcohol drinking; while the difference in terms of BMI, smoking, history of BCG vaccination and cooking with solid fuel was statistically significant (P < 0.05); tea drinking has significant negative association with TB (OR = 0.650, P < 0.05) (Table 1).
Table 1

Univariate analysis of demographic characteristics and associated risk factors in TB

  

TB Patients

Healthy controls

OR (95 % CI)

N (%)

N (%)

Sex

Male

427

74.39

410

70.45

 

Female

147

25.61

172

29.55

0.821(0.634,1.063)

Age (years)

19-30

73

12.72

85

14.60

Reference

31-50

219

38.15

205

35.22

1.244(0.862,1.794)

51-70

195

33.97

182

31.27

1.248(0.860,1.810)

71-84

87

15.16

110

18.90

0.921(0.605,1.402)

Marital status

Married

403

70.21

397

68.21

 

Other

171

29.79

185

31.79

0.911(0.709,1.169)

Education background

Primary school or below

234

40.77

239

41.07

Reference

Junior high school

178

31.01

182

31.27

0.999(0.759,1.314)

Senior high school or above

162

28.22

151

25.95

1.096(0.823,1.458)

BMI

<18.5

208

36.24

199

34.19

Reference

18.5-24.9

334

58.19

325

55.84

0.983(0.768,1.259)

≥25

32

5.57

58

9.97

0.528(0.329,0.847)*

Smoking

No

242

42.16

312

53.61

 

Yes

332

57.84

270

46.39

1.585(1.257,2.000)*

Alcohol drinking

No

477

83.10

496

85.22

 

Yes

97

16.90

86

14.78

1.173(0.855,1.609)

History of BCG vaccination

No

462

80.49

416

71.48

 

Yes

112

19.51

166

28.52

0.608(0.462,0.799)*

cooking with solid fuel

No

234

40.77

312

53.61

 

Yes

340

59.23

270

46.39

1.679(1.330,2.119)*

Tea drinking

No

301

52.44

243

41.75

 

Yes

273

47.56

339

58.25

0.650(0.515,0.820)*

*P < 0.05

To exclude possible confounding and explore all the determinants meantime, multivariate unconditioned logistic regression analysis was conducted by using sex, age, marital status, education background, BMI, and alcohol drinking as the covariates, smoking, history of BCG vaccination, cooking with solid fuel, and tea drinking as independent variables. Results show that tea drinking and History of BCG vaccination had a negative association with TB (OR = 0.583 and 0.598), smoking and cooking with solid fuel was the risk factor of TB (OR = 1.589 and 1.490) (Table 2).
Table 2

Multivariate Analysis of Associated Risk Factors in TB

 

Coefficient (β)

ORad (95 % CI)#

Tea drinking

−0.539

0.583 (0.423,0.804)*

Smoking

0.463

1.589 (1.179,2.142)*

History of BCG vaccination

−0.514

0.598 (0.428,0.836)*

cooking with solid fuel

0.399

1.490 (1.095,2.027)*

# Multivariate logistic regression model was used to adjust the covariates of sex, age, marital status, education background, BMI, and alcohol drinking.

*P < 0.05

The study was also conducted to ascertain the associations of different classes of tea on Tuberculosis. Tea leaves can be classified as black tea (fermented tea leaves), oolong (semi-fermented tea leaves) and green tea (unfermented tea leaves). The results indicate that drinking black tea, oolong and green tea almost had same negative associations with TB, with OR being 0.683, 0.674, and 0.534, respectively (P < 0.05). (Table 3)
Table 3

The association between types of tea leaves and TB

Type of tea leaves

TB Patients

Healthy controls

ORc (95 % CI)

ORad (95 % CI)#

N

%

N

%

Not drinking tea

301

52.44

243

41.75

Reference

Reference

Black tea

63

10.98

73

12.54

0.697 (0.478,1.016)

0.683 (0.517,0.902)*

Oolong

84

14.63

98

16.84

0.692 (0.494,0.969)*

0.674 (0.508,0.894)*

Green tea

126

21.95

168

28.87

0.605 (0.455,0.806)*

0.534 (0.349,0.817)*

#Multivariate logistic regression model was used to adjust the covariates of sex, age, marital status, education background, BMI, smoking, alcohol drinking, history of BCG vaccination and cooking with solid fuel.

*P < 0.05

Subjects who drank tea were categorized into three groups by monthly amount of tea drinking: 1-60 g group, 61-150 g group, and 151-300 g group, which would help investigate a dose–response relationship of tea consumption on TB. OR for 1-60 g group, 61-150 g group, 151-300 g group were 0.674, 0.619 and 0.564, respectively, with P < 0.05; trend χ2 test indicated a decreasing risk for TB with increased tea consumption, with P < 0.05, which showed significant dose–response relationship of tea consumption on TB (Table 4).
Table 4

The association between the quantity of tea consumption and TB

Tea consumption (g/month)

TB Patients

Healthy controls

ORc (95 % CI)

ORad (95 % CI)#

N

%

N

%

Not drinking tea

301

52.44

243

41.75

Reference

Reference

1-60

94

16.38

106

18.21

0.716(0.517,0.991)*

0.674(0.472,0.962)*

61-150

98

17.07

124

21.31

0.638(0.466,0.874)*

0.619(0.478,0.801)*

151-300

81

14.11

109

18.73

0.600(0.430,0.837)*

0.564(0.415,0.766)*

Trend χ 2  = 12.784, P = 0.000

#Multivariate logistic regression model was used to adjust the covariates of sex, age, marital status, education background, BMI, smoking, alcohol drinking, history of BCG vaccination and cooking with solid fuel.

*P < 0.05

Discussion

In this study, we found smoking, cooking with solid fuel had positive association with TB, but BCG vaccination and tea drinking had a negative association with TB. Many researches showed that smoking was an independent risk factor for tuberculosis (TB), and the risk of TB increases with increments of smoking, which support our result. Recent years, cooking with solid fuel has been regarded as another risk factor of TB, and has been confirmed in different populations [2730]. The protection conferred by the BCG vaccine is significantly greater when the vaccine is administered to neonates or school children. In children, protection against pulmonary TB can reach up to 80 % [31], however, only 50 % of adults are protected [32]. Our result supported that BCG vaccine would reduce the risk of TB, which is consistency in univariate and multivariate analysis.

Our main finding is that tea drinking had a negative association with TB. Interestingly, green tea afforded the most evident protection against TB, compared to other types of tea. In addition, increasing tea consumption is associated with a decreased risk of tuberculosis, showed significant dose–response relationship.

Tea leaves have high concentration in tea polyphenols, primarily consisting of flavonoids, such as flavanol monomers and flavanol gallates. Flavanol monomers mainly contain catechin, epicatechin and epigallocatechin. Flavanol gallates mainly contain epicatechin gallate and epigallocatechin-3-gallate (EGCG). These substances are most prevalent in tea leaves, while EGCG exhibits the strongest biological activity. The content of catechins can account for 30-40 % of the dry weight of fresh tea leaves [6], while the content of EGCG accounts for 50-80 % of the total catechins in tea leaves [33]. Green tea is not fermented, and the content of the catechins contained in green tea is higher than that in semi-fermented (oolong) and fermented (black tea) tea leaves.

Numerous studies suggest that tea drinking helps to prevent obesity [79], cardiovascular diseases [1012], autoimmune diseases [1317], neurodegenerative diseases [18], tumors [1922]. To our knowledge, this is the first study that discovered the negative association between tea drinking and TB in human population, moreover, showed significant dose–response relationship. The negative association of tea drinking and TB is postulated to occur via the following mechanisms: Firstly, the EGCG in tea leaves inhibit the growth of tubercle bacillus by inhibiting the activity of InhA, the enoyl-acyl carrier protein reductase [23, 34, 35]. Secondly, EGCG in tea leaves weakens the transcription of TACO genes in human macrophages by inhibiting the activity of SP1 transcription factors in TACO gene promoters, thereby weakening the expression of TACO genes, which in turn inhibit the survival of tubercle bacillus in macrophages [24]. Therefore, EGCG supplementation is of key significance for the prevention of tubercle bacillus infection. However, more researches in other population or more basic mechanism researches were required.

There are some limitations in our study. Firstly, we did not collected information on TB contact information. Secondly, the cases and controls in our study were sampled from different regions. Because the different sampling district have very similar background and condition; the possible impacts of non-genetic factors such as sex, age, marital status, educational background, BMI, smoking, alcohol drinking, history of BCG vaccination and cooking with solid fuel were adjusted by multivariate logistic regression; and dose–response relationship was observed. So the results observed in our study should be reliable.

Conclusions

Tea drinking perhaps was a protective factor against Tuberculosis. Although substantial efforts are yet to be made to explore the mechanism of action, this study indicated that tea drinking perhaps could have very important effect on prevent and control TB infection. Tea is highly affordable, convenient and popular. Promoting the consumption of tea as the daily drink among populations, particularly those with high TB risk, may reduce the risk of TB in the population. Especially in developing countries with high TB prevalence, this approach may bring about significant social and economic benefits.

Declarations

Acknowledgements

We thank our partners Dr Liqiong Bai (Hunan Institute of Tuberculosis Prevention and Treatment), and Ying Liang (School of Public Health, Central South University) for their input into this work.

Financial support

This investigation was supported by Fundamental Research Funds for the Central South University and Global Foundation for China’s Implementation Research in TB (GRANT 07-062).

Authors’ Affiliations

(1)
Department of Epidemiology and Health Statistics, School of Public Health, Central South University
(2)
Hunan Children’s Hospital
(3)
Department of Nursing, Shaoyang Medical College
(4)
Yueyanglou Center for Disease Control and Prevention
(5)
Department of Epidemiology, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana
(6)
Department of Obstetrics & Gynecology and Department of Epidemiology & Community Medicine, University of Ottawa

References

  1. WHO. Global tuberculosis report 2013. Geneva: WHO; 2013.Google Scholar
  2. Survey TGGotFNTE, Survey TOotFNTE. The Fifth national tuberculosis epidemiological survey in 2010. Chin J Antituberc. 2012;34(8):485–508.Google Scholar
  3. Graham HN. Green tea composition, consumption, and polyphenol chemistry. Preventive Medicine. 1992;21(3):334–50.View ArticlePubMedGoogle Scholar
  4. Abboud PA, Hake PW, Burroughs TJ, Odoms K, O'Connor M, Mangeshkar P, et al. Therapeutic effect of epigallocatechin-3-gallate in a mouse model of colitis. European Journal of Pharmacology. 2008;579(1–3):411–7.View ArticlePubMedGoogle Scholar
  5. Ran ZH, Chen C, Xiao SD. Epigallocatechin-3-gallate ameliorates rats colitis induced by acetic acid. Biomed Pharmacother. 2008;62(3):189–96.View ArticlePubMedGoogle Scholar
  6. de Mejia EG, Ramirez-Mares MV, Puangpraphant S. Bioactive components of tea: cancer, inflammation and behavior. Brain, Behavior, and Immunity. 2009;23(6):721–31.View ArticlePubMedGoogle Scholar
  7. Bose M, Lambert JD, Ju J, Reuhl KR, Shapses SA, Yang CS. The major green tea polyphenol, (−)-epigallocatechin-3-gallate, inhibits obesity, metabolic syndrome, and fatty liver disease in high-fat-fed mice. The Journal of Nutrition. 2008;138(9):1677–83.PubMedPubMed CentralGoogle Scholar
  8. Klaus S, Pultz S, Thone-Reineke C, Wolfram S. Epigallocatechin gallate attenuates diet-induced obesity in mice by decreasing energy absorption and increasing fat oxidation. Int J Obesity (2005). 2005;29(6):615–23.View ArticleGoogle Scholar
  9. Wolfram S, Raederstorff D, Wang Y, Teixeira SR, Elste V, Weber P. TEAVIGO (epigallocatechin gallate) supplementation prevents obesity in rodents by reducing adipose tissue mass. Annals of nutrition & metabolism. 2005;49(1):54–63.View ArticleGoogle Scholar
  10. Ramesh E, Elanchezhian R, Sakthivel M, Jayakumar T, Senthil Kumar RS, Geraldine P, et al. Epigallocatechin gallate improves serum lipid profile and erythrocyte and cardiac tissue antioxidant parameters in Wistar rats fed an atherogenic diet. Fundamental & Clinical Pharmacology. 2008;22(3):275–84.View ArticleGoogle Scholar
  11. Lou FQ, Zhang MF, Zhang XG, Liu JM, Yuan WL. A study on tea-pigment in prevention of atherosclerosis. Chinese Medical Journal. 1989;102(8):579–83.PubMedGoogle Scholar
  12. Jochmann N, Baumann G, Stangl V. Green tea and cardiovascular disease: from molecular targets towards human health. Current Opinion in Clinical Nutrition and Metabolic Care. 2008;11(6):758–65.View ArticlePubMedGoogle Scholar
  13. Kim HR, Rajaiah R, Wu QL, Satpute SR, Tan MT, Simon JE, et al. Green tea protects rats against autoimmune arthritis by modulating disease-related immune events. The Journal of Nutrition. 2008;138(11):2111–6.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Wang J, Ren Z, Xu Y, Xiao S, Meydani SN, Wu D. Epigallocatechin-3-gallate ameliorates experimental autoimmune encephalomyelitis by altering balance among CD4+ T-cell subsets. The American Journal of Pathology. 2012;180(1):221–34.View ArticlePubMedGoogle Scholar
  15. Ahmed S, Marotte H, Kwan K, Ruth JH, Campbell PL, Rabquer BJ, et al. Epigallocatechin-3-gallate inhibits IL-6 synthesis and suppresses transsignaling by enhancing soluble gp130 production. Proceedings of the National Academy of Sciences of the United States of America. 2008;105(38):14692–7.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Aktas O, Prozorovski T, Smorodchenko A, Savaskan NE, Lauster R, Kloetzel PM, et al. Green tea epigallocatechin-3-gallate mediates T cellular NF-kappa B inhibition and exerts neuroprotection in autoimmune encephalomyelitis. Journal of Immunology. 2004;173(9):5794–800.View ArticleGoogle Scholar
  17. Haqqi TM, Anthony DD, Gupta S, Ahmad N, Lee MS, Kumar GK, et al. Prevention of collagen-induced arthritis in mice by a polyphenolic fraction from green tea. Proceedings of the National Academy of Sciences of the United States of America. 1999;96(8):4524–9.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Levites Y, Amit T, Mandel S, Youdim MB. Neuroprotection and neurorescue against Abeta toxicity and PKC-dependent release of nonamyloidogenic soluble precursor protein by green tea polyphenol (−)-epigallocatechin-3-gallate. FASEB journal : official publication of the Federation of American Societies for Experimental Biology. 2003;17(8):952–4.Google Scholar
  19. Ju J, Hong J, Zhou JN, Pan Z, Bose M, Liao J, et al. Inhibition of intestinal tumorigenesis in Apcmin/+ mice by (−)-epigallocatechin-3-gallate, the major catechin in green tea. Cancer Research. 2005;65(22):10623–31.View ArticlePubMedGoogle Scholar
  20. Yang CS, Liao J, Yang GY, Lu G. Inhibition of lung tumorigenesis by tea. Experimental Lung Research. 2005;31(1):135–44.View ArticlePubMedGoogle Scholar
  21. Kundu JK, Surh YJ. Epigallocatechin gallate inhibits phorbol ester-induced activation of NF-kappa B and CREB in mouse skin: role of p38 MAPK. Annals of the New York Academy of Sciences. 2007;1095:504–12.View ArticlePubMedGoogle Scholar
  22. Adhami VM, Siddiqui IA, Sarfaraz S, Khwaja SI, Hafeez BB, Ahmad N, et al. Effective prostate cancer chemopreventive intervention with green tea polyphenols in the TRAMP model depends on the stage of the disease. Clinical Cancer Research : an official journal of the American Association for Cancer Research. 2009;15(6):1947–53.View ArticleGoogle Scholar
  23. Sharma SK, Kumar G, Kapoor M, Surolia A. Combined effect of epigallocatechin gallate and triclosan on enoyl-ACP reductase of Mycobacterium tuberculosis. Biochemical and Biophysical Research Communications. 2008;368(1):12–7.View ArticlePubMedGoogle Scholar
  24. Anand PK, Kaul D, Sharma M. Green tea polyphenol inhibits Mycobacterium tuberculosis survival within human macrophages. The International Journal of Biochemistry & Cell Biology. 2006;38(4):600–9.View ArticleGoogle Scholar
  25. WHO: Treatment of tuberculosis: guidelines - 4th ed. Geneva, WHO 2010.Google Scholar
  26. Chen M, Kwaku AB, Chen Y, Huang X, Tan H, Wen SW. Gender and regional disparities of tuberculosis in Hunan, China. Int Journal for Equity in Health. 2014;13:32.View ArticleGoogle Scholar
  27. Lakshmi PV, Virdi NK, Thakur JS, Smith KR, Bates MN, Kumar R. Biomass fuel and risk of tuberculosis: a case–control study from Northern India. Journal of Epidemiology and Community Health. 2012;66(5):457–61.View ArticlePubMedGoogle Scholar
  28. Sumpter C, Chandramohan D. Systematic review and meta-analysis of the associations between indoor air pollution and tuberculosis. Tropical Medicine & International Health : TM & IH. 2013;18(1):101–8.View ArticleGoogle Scholar
  29. Garcia-Sancho MC, Garcia-Garcia L, Baez-Saldana R, Ponce-De-Leon A, Sifuentes-Osornio J, Bobadilla-Del-valle M, et al. Indoor pollution as an occupational risk factor for tuberculosis among women: a population-based, gender oriented, case–control study in Southern Mexico. Rev Invest Clin; Organo del Hospital de Enfermedades de la Nutricion. 2009;61(5):392–8.Google Scholar
  30. Kolappan C, Subramani R. Association between biomass fuel and pulmonary tuberculosis: a nested case–control study. Thorax. 2009;64(8):705–8.View ArticlePubMedGoogle Scholar
  31. Mangtani P, Abubakar I, Ariti C, Beynon R, Pimpin L, Fine PE, et al. Protection by BCG vaccine against tuberculosis: a systematic review of randomized controlled trials. Clinical Infectious Diseases: an Official Publication of the Infectious Diseases Society of America. 2014;58(4):470–80.View ArticleGoogle Scholar
  32. Principi N, Esposito S. The present and future of tuberculosis vaccinations. Tuberculosis. 2015;95(1):6–13.View ArticlePubMedGoogle Scholar
  33. Pae M, Wu D. Immunomodulating effects of epigallocatechin-3-gallate from green tea: mechanisms and applications. Food & Function. 2013;4(9):1287–303.View ArticleGoogle Scholar
  34. Zhang YM, Rock CO. Evaluation of epigallocatechin gallate and related plant polyphenols as inhibitors of the FabG and FabI reductases of bacterial type II fatty-acid synthase. Journal of Biological Chemistry. 2004;279(30):30994–1001.View ArticlePubMedGoogle Scholar
  35. Sharma SK, Parasuraman P, Kumar G, Surolia N, Surolia A. Green tea catechins potentiate triclosan binding to enoyl-ACP reductase from Plasmodium falciparum (PfENR). Journal of Medicinal Chemistry. 2007;50(4):765–75.View ArticlePubMedGoogle Scholar

Copyright

© Chen et al.; licensee BioMed Central. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Advertisement