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Du ZX, Ren YY, Wang JL, Li SX, Hu YF, Wang L, Chen MY, Li Y, Hu CM, Yang YF. The potential association between metabolic disorders and pulmonary tuberculosis: a Mendelian randomization study. Eur J Med Res 2024; 29:277. [PMID: 38725045 PMCID: PMC11080151 DOI: 10.1186/s40001-024-01845-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Metabolic disorders (MetDs) have been demonstrated to be closely linked to numerous diseases. However, the precise association between MetDs and pulmonary tuberculosis (PTB) remains poorly understood. METHOD Summary statistics for exposure and outcomes from genome-wide association studies (GWASs) for exposures and outcomes were obtained from the BioBank Japan Project (BBJ) Gene-exposure dataset. The 14 clinical factors were categorized into three groups: metabolic laboratory markers, blood pressure, and the MetS diagnostic factors. The causal relationship between metabolic factors and PTB were analyzed using two-sample Mendelian Randomization (MR). Additionally, the direct effects on the risk of PTB were investigated through multivariable MR. The primary method employed was the inverse variance-weighted (IVW) model. The sensitivity of this MR analysis was evaluated using MR-Egger regression and the MR-PRESSO global test. RESULTS According to the two-sample MR, HDL-C, HbA1c, TP, and DM were positively correlated with the incidence of active TB. According to the multivariable MR, HDL-C (IVW: OR 2.798, 95% CI 1.484-5.274, P = 0.001), LDL (IVW: OR 4.027, 95% CI 1.140-14.219, P = 0.03) and TG (IVW: OR 2.548, 95% CI 1.269-5.115, P = 0.009) were positively correlated with the occurrence of PTB. TC (OR 0.131, 95% CI 0.028-0.607, P = 0.009) was negatively correlated with the occurrence of PTB. We selected BMI, DM, HDL-C, SBP, and TG as the diagnostic factors for metabolic syndrome. DM (IVW, OR 1.219, 95% CI 1.040-1.429 P = 0.014) and HDL-C (IVW, OR 1.380, 95% CI 1.035-1.841, P = 0.028) were directly correlated with the occurrence of PTB. CONCLUSIONS This MR study demonstrated that metabolic disorders, mainly hyperglycemia, and dyslipidemia, are associated with the incidence of active pulmonary tuberculosis.
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Affiliation(s)
- Zhi-Xiang Du
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China
| | - Yun-Yao Ren
- Department of Tuberculosis, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China
| | - Jia-Luo Wang
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China
| | - Shun-Xin Li
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China
| | - Yi-Fan Hu
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China
| | - Li Wang
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China
| | - Miao-Yang Chen
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China
| | - Yang Li
- Department of Infectious Diseases, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, Jiangsu Province, China
| | - Chun-Mei Hu
- Department of Tuberculosis, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China.
| | - Yong-Feng Yang
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, 210003, China.
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Milice DM, Macicame I, L Peñalvo J. The collaborative framework for the management of tuberculosis and type 2 diabetes syndemic in low- and middle-income countries: a rapid review. BMC Public Health 2024; 24:738. [PMID: 38454428 PMCID: PMC10921776 DOI: 10.1186/s12889-024-18256-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 03/01/2024] [Indexed: 03/09/2024] Open
Abstract
INTRODUCTION Given the absence of international guidelines on the joint management and control of tuberculosis (TB) and type 2 diabetes mellitus (T2D), the World Health Organization (WHO) and the International Union Against Tuberculosis and Lung Disease (The Union) launched in 2011 a policy framework to address the growing syndemic burden of TB-T2D. This review aimed at mapping the available evidence on the implementation of the Union-WHO Framework, explicitly, or bi-directional TB-T2D health programs as an initiative for co-management in patients in low- and middle-income countries (LMIC). METHODS A rapid review was performed based on a systematic search in PubMed and Web of Science electronic databases for peer-reviewed articles on The Union-WHO Framework and bi-directional interventions of TB and T2D in LMIC. The search was restricted to English language articles and from 01/08/2011 to 20/05/2022. RESULTS A total of 24 articles from 16 LMIC met the inclusion criteria. Four described the implementation of The Union-WHO Framework and 20 on the bi-directional interventions of TB and T2D. Bi-directional activities were found valuable, feasible and effective following the Union-WHO recommendations. Limited knowledge and awareness on TB-T2D comorbidity was identified as one of the barriers to ensure a functional and effective integration of services. CONCLUSIONS This review revealed that it is valuable, feasible and effective to implement bi-directional TB and T2D activities (screening and management) according to the Union-WHO Framework recommendations, especially in countries that face TB-T2D syndemic. Additionally, it was apparent that gaps still exist in research aimed at providing evidence of costs to implement collaborative activities. There is need for TB and T2D services integration that should be done through the well-stablished TB programme. This integration of two vertical programmes, could ensure patient-centeredness, continuum of care and ultimately contribute for health systems strengthening.
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Affiliation(s)
| | | | - José L Peñalvo
- Global Health Institute, University of Antwerp, Wilrijk, Belgium
- National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
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Jiang Y, Zhang W, Wei M, Yin D, Tang Y, Jia W, Wang C, Guo J, Li A, Gong Y. Associations between type 1 diabetes and pulmonary tuberculosis: a bidirectional mendelian randomization study. Diabetol Metab Syndr 2024; 16:60. [PMID: 38443967 PMCID: PMC10913601 DOI: 10.1186/s13098-024-01296-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/20/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Type 1 diabetes mellitus (T1DM) has been associated with higher pulmonary tuberculosis (PTB) risk in observational studies. However, the causal relationship between them remains unclear. This study aimed to assess the causal effect between T1DM and PTB using bidirectional Mendelian randomization (MR) analysis. METHODS Single nucleotide polymorphisms (SNPs) of T1DM and PTB were extracted from the public genetic variation summary database. In addition, GWAS data were collected to explore the causal relationship between PTB and relevant clinical traits of T1DM, including glycemic traits, lipids, and obesity. The inverse variance weighting method (IVW), weighted median method, and MR‒Egger regression were used to evaluate the causal relationship. To ensure the stability of the results, sensitivity analyses assess the robustness of the results by estimating heterogeneity and pleiotropy. RESULTS IVW showed that T1DM increased the risk of PTB (OR = 1.07, 95% CI: 1.03-1.12, P < 0.001), which was similar to the results of MR‒Egger and weighted median analyses. Moreover, we found that high-density lipoprotein cholesterol (HDL-C; OR = 1.28, 95% CI: 1.03-1.59, P = 0.026) was associated with PTB. There was no evidence of an effect of glycemic traits, remaining lipid markers, or obesity on the risk of PTB. In the reverse MR analysis, no causal relationships were detected for PTB on T1DM and its relevant clinical traits. CONCLUSION This study supported that T1DM and HDL-C were risk factors for PTB. This implies the effective role of treating T1DM and managing HDL-C in reducing the risk of PTB, which provides an essential basis for the prevention and comanagement of concurrent T1DM and PTB in clinical practice.
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Affiliation(s)
- Yijia Jiang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Wenhua Zhang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Maoying Wei
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Dan Yin
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Yiting Tang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Weiyu Jia
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Churan Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Jingyi Guo
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Aijing Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China
| | - Yanbing Gong
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700, Beijing, China.
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Aravindhan V, Yuvaraj S. Immune-endocrine network in diabetes-tuberculosis nexus: does latent tuberculosis infection confer protection against meta-inflammation and insulin resistance? Front Endocrinol (Lausanne) 2024; 15:1303338. [PMID: 38327565 PMCID: PMC10848915 DOI: 10.3389/fendo.2024.1303338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 01/02/2024] [Indexed: 02/09/2024] Open
Abstract
Tuberculosis patients with diabetes, have higher sputum bacillary load, delayed sputum conversion, higher rates of drug resistance, higher lung cavitary involvement and extra-pulmonary TB infection, which is called as "Diabetes-Tuberculosis Nexus". However, recently we have shown a reciprocal relationship between latent tuberculosis infection and insulin resistance, which has not been reported before. In this review, we would first discuss about the immune-endocrine network, which operates during pre-diabetes and incipient diabetes and how it confers protection against LTBI. The ability of IR to augment anti-TB immunity and the immunomodulatory effect of LTBI to quench IR were discussed, under IR-LTB antagonism. The ability of diabetes to impair anti-TB immunity and ability of active TB to worsen glycemic control, were discussed under "Diabetes-Tuberculosis Synergy". The concept of "Fighter Genes" and how they confer protection against TB but susceptibility to IR was elaborated. Finally, we conclude with an evolutionary perspective about how IR and LTBI co-evolved in endemic zones, and have explained the molecular basis of "IR-LTB" Antagonism" and "DM-TB Synergy", from an evolutionary perspective.
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Affiliation(s)
- Vivekanandhan Aravindhan
- Department of Genetics, Dr Arcot Lakshmanasamy Mudaliyar Post Graduate Institute of Basic Medical Sciences (Dr ALM PG IBMS), University of Madras, Chennai, India
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Kibirige D, Andia-Biraro I, Kyazze AP, Olum R, Bongomin F, Nakavuma RM, Ssekamatte P, Emoru R, Nalubega G, Chamba N, Kilonzo K, Laizer SN, Mrema LE, Olomi W, Minja LT, Ntinginya NE, Sabi I, Hill PC, Te Brake L, van Crevel R, Sharples K, Critchley J. Burden and associated phenotypic characteristics of tuberculosis infection in adult Africans with diabetes: a systematic review. Sci Rep 2023; 13:19894. [PMID: 37963989 PMCID: PMC10645877 DOI: 10.1038/s41598-023-47285-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 11/11/2023] [Indexed: 11/16/2023] Open
Abstract
Diabetes mellitus (DM) increases the risk of developing tuberculosis infection (TBI). However, the evidence on the burden and phenotypic characteristics of TBI in African patients with DM is limited. This study aimed to determine the prevalence and characterisation of TBI in native African patients living with DM. We searched PubMed, EMBASE, and African Journals Online for original studies reporting information on the prevalence and characteristics of TBI in adult Africans with DM. A forest plot was used to describe the pooled prevalence estimate of TBI and the corresponding 95% confidence intervals (CI). Six studies conducted in four African countries involving 721 participants with DM were included in this systematic review. The pooled prevalence estimate of TBI was 40% (95% CI 20-60%, I2 = 98.52%, p < 0.001). Age ≥ 40 years and glycated haemoglobin levels independently predicted TBI positivity in patients with DM in three studies. Africans with DM have a high prevalence of TBI, especially those who are older or with poorly controlled diabetes. This justifies the need for studies to explore how to screen and manage TBI to avert the progression to active TB disease.
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Affiliation(s)
- Davis Kibirige
- Department of Medicine, Uganda Martyrs' Hospital Lubaga, Kampala, Uganda.
- Clinical Research Unit, Tuberculosis and Comorbidities Consortium, Kampala, Uganda.
| | - Irene Andia-Biraro
- Clinical Research Unit, Tuberculosis and Comorbidities Consortium, Kampala, Uganda
- Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Andrew Peter Kyazze
- Clinical Research Unit, Tuberculosis and Comorbidities Consortium, Kampala, Uganda
- Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Ronald Olum
- Department of Medicine, St. Francis Hospital Nsambya, Kampala, Uganda
| | - Felix Bongomin
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Gulu University, Gulu, Uganda
| | - Rose Mwanje Nakavuma
- Clinical Research Unit, Tuberculosis and Comorbidities Consortium, Kampala, Uganda
| | - Phillip Ssekamatte
- Clinical Research Unit, Tuberculosis and Comorbidities Consortium, Kampala, Uganda
| | - Reagan Emoru
- Clinical Research Unit, Tuberculosis and Comorbidities Consortium, Kampala, Uganda
| | - Goretti Nalubega
- Clinical Research Unit, Tuberculosis and Comorbidities Consortium, Kampala, Uganda
| | - Nyasatu Chamba
- Department of Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania
- Department of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Kajiru Kilonzo
- Department of Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania
- Department of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Sweetness Naftal Laizer
- Department of Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania
- Department of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Lucy Elauteri Mrema
- National Institute for Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania
| | - Willyhelmina Olomi
- National Institute for Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania
| | - Lilian Tina Minja
- National Institute for Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania
| | | | - Issa Sabi
- National Institute for Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania
| | - Philip C Hill
- Centre for International Health, Otago University, Dunedin, New Zealand
| | - Lindsey Te Brake
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Reinout van Crevel
- Department of Internal Medicine and Radboud Centre for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Katrina Sharples
- Centre for International Health, Otago University, Dunedin, New Zealand
| | - Julia Critchley
- Population Health Research Institute, St. George's University of London, London, UK
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Ералиева ЛТ, Исаева АМ. [Association between treatment outcome and age in tuberculosis and diabetes patients: a population analysis]. PROBLEMY ENDOKRINOLOGII 2023; 69:93-98. [PMID: 37968956 PMCID: PMC10680549 DOI: 10.14341/probl13252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/23/2023] [Accepted: 05/12/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND The undoubted importance of this work lies in the fact that for the first time in the Republic of Kazakhstan, an analysis is being made of the relationship between age and treatment outcome in patients with a comorbid diagnosis of tuberculosis and diabetes mellitus. PURPOSE OF THE STUDY Identification of the correlation between the age of patients with tuberculosis with diabetes mellitus and the outcome of treatment. MATERIALS AND METHODS Cross-sectional retrospective study of 2,125 patients with TB and diabetes mellitus out of a total of 43,807 of all patients diagnosed with TB (2017-2019). The study analyzed the data of patients with comorbidity from all regions of Kazakhstan (data from 14 regions and 3 cities of republican significance) (2017-2019). RESULTS A high prevalence of tuberculosis morbidity with a concomitant diagnosis of diabetes mellitus in the age group from 45 to 64 years was revealed. This group consisted of 1193 patients out of 2115 (56.4% of the total number of patients with tuberculosis and diabetes mellitus). The average age of all studied patients with DM was 54.7±13.4 years. There is a positive correlation between age and treatment outcome in TB patients. Mortality was higher in the age group over 45 years old - OR95%CI = 0.213 [0.019-2.362], p - 0.0000015 (p < 0.05).
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Affiliation(s)
- Л. Т. Ералиева
- Национальный медицинский университет; Национальный научный центр фтизиопульмонологии РК
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Zhou G, Guo X, Cai S, Zhang Y, Zhou Y, Long R, Zhou Y, Li H, Chen N, Song C. Diabetes mellitus and latent tuberculosis infection: an updated meta-analysis and systematic review. BMC Infect Dis 2023; 23:770. [PMID: 37940866 PMCID: PMC10631079 DOI: 10.1186/s12879-023-08775-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 10/31/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Previous studies have demonstrated an association between diabetes mellitus (DM) and latent tuberculosis infection (LTBI). This study was conducted to update the current understanding of the association between DM and LTBI. By conducting a systematic review and meta-analysis using adjusted odds ratios (aOR) or risk ratios (aRR), we aimed to further explore the association between DM and LTBI and provide essential reference for future research. METHODS We conducted comprehensive searches in Embase, Cochrane Library, and PubMed without imposing any start date or language restrictions, up to July 19, 2022. Our study selection encompassed observational research that compared from LTBI positive rates in both DM and non-DM groups and reported aRR or aOR results. The quality of the included studies was assessed utilizing the Newcastle-Ottawa Scale. Pooled effect estimates were calculated using random-effects models, along with their associated 95% confidence intervals (CI). RESULTS We included 22 studies involving 68,256 subjects. Three cohort studies were eligible, with a pooled aRR of 1.26 (95% CI: 0.71-2.23). Nineteen cross-sectional studies were eligible, with a pooled aOR of 1.21 (95% CI: 1.14-1.29). The crude RR (cRR) pooled estimate for three cohort studies was 1.62 (95% CI: 1.03-2.57). Among the cross-sectional studies we included, sixteen studies provided crude ORs, and the crude OR (cOR) pooled estimate was 1.64 (95% CI: 1.36-1.97). In the diagnosis of diabetes, the pooled aOR of the HbA1c group was higher than that of self-reported group (pooled aOR: 1.56, 95% CI: 1.24-1.96 vs. 1.17, 95% CI: 1.06-1.28). CONCLUSION Our systematic review and meta-analysis suggest a positive association between DM and LTBI. Individuals with DM may have a higher risk of LTBI compared to those without DM. These findings provide important insights for future research and public health interventions in managing LTBI in diabetic populations.
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Affiliation(s)
- Guozhong Zhou
- Department of Science and Research, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China
| | - Xin Guo
- School of Basic Medical Sciences, Kunming Medical University, Kunming, 650051, Yunnan Province, China
| | - Shunli Cai
- School of Basic Medical Sciences, Kunming Medical University, Kunming, 650051, Yunnan Province, China
| | - Yu Zhang
- Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China
| | - Yuanyuan Zhou
- Department of Endocrinology and Metabolism, Sixth Affliated Hospital of Kunming Medical University, The People's Hospital of Yuxi City, Yunnan Province, Yuxi, 653100, China
| | - Rong Long
- Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China
| | - Yingchen Zhou
- The School of Medicine, Kunming University, Kunming, 650214, China
| | - Hanse Li
- School of Basic Medical Sciences, Kunming Medical University, Kunming, 650051, Yunnan Province, China
| | - Nan Chen
- Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China.
| | - Chao Song
- Department of Medical Imaging, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, 650302, Yunnan Province, China.
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Wu J, Wang K, Tao F, Li Q, Luo X, Xia F. The association of blood metals with latent tuberculosis infection among adults and adolescents. Front Nutr 2023; 10:1259902. [PMID: 38024374 PMCID: PMC10655142 DOI: 10.3389/fnut.2023.1259902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Objective We aimed to investigate the relationship of metal exposure and latent tuberculosis infection (LTBI) among US adults and adolescents. Methods Participants from the National Health and Nutrition Examination Surveys (NHANES 2011 ~ 2012) were included. Multiple logistic regression models were used to explore the associations between metal exposure and LTBI. A total of 5,248 adults and 1,860 adolescents were included in the present analysis. Results For adults, we only found a positive association between total mercury and LTBI (OR: 1.411; 95% CI: 1.164 ~ 1.710) when used as a continuous variable. Compared with Q1, Q4 increased the prevalence of LTBI (2.303; 1.455 ~ 3.644) when used as a quartile. The OR of total mercury and LTBI was higher among females (1.517; 1.009 ~ 2.279), individuals aged 45 ~ 64 (1.457; 1.060 ~ 2.002), and non-Hispanic White individuals (1.773; 1.316 ~ 2.388). A relationship was observed among only participants with obesity (1.553; 1.040 ~ 2.319) or underweight (1.380; 1.076 ~ 1.771), with college or above (1.645; 1.184 ~ 2.286), with PIR > 3.0 (1.701; 1.217 ~ 2.376), reported smoking (1.535; 1.235 ~ 1.907) and drinking (1.464; 1.232 ~ 1.739). For adolescents, blood manganese was positively associated with LTBI. The OR and 95% CIs for each one-unit increase in the log-transformed level of blood manganese with LTBI were 9.954 (1.389 ~ 71.344). Conclusion Significant associations were observed in girls, aged ≥12 years and in the non-Hispanic white population. In conclusion, total mercury is associated with an increased prevalence of LTBI among adults and positive association between blood manganese and LTBI was observed among adolescents. Further studies should be conducted to verify the results and explore potential biological mechanisms.
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Affiliation(s)
| | | | | | | | - Xin Luo
- Department of Public Health, Wuhan Fourth Hospital, Wuhan, China
| | - Fang Xia
- Department of Public Health, Wuhan Fourth Hospital, Wuhan, China
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Majaliwa ES, Muze K, Godfrey E, Byashalira K, Mmbaga BT, Ramaiya K, Mfinanga SG. Latent tuberculosis in children and youth with type 1 diabetes mellitus in Dar es Salaam, Tanzania: a cross section survey. BMC Infect Dis 2023; 23:740. [PMID: 37904143 PMCID: PMC10614349 DOI: 10.1186/s12879-023-08753-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 10/25/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Data for latent tuberculosis in patients with type 1 Diabetes in Africa is limited. We assessed the prevalence of latent tuberculosis in youth and children with type 1 Diabetes in Dar es Salaam -Tanzania. METHODS Our cross-sectional study recruited children and youth with T1DM by stage of puberty, glycaemic control, and age at diagnosis from January to December 2021 in Dar es Salaam. Participants were screened for the presence of latent Tuberculosis using the QuantiFERON test. A positive test was considered to have latent TB. RESULTS Of the 281 participants, the mean age was 19 (± 6) years, 51.2% were female, and 80.8% had either a primary or secondary level of education at baseline. The prevalence of latent TB was 14.9% and was slightly higher in females (52.4%) than in males. This difference, however, was insignificant (p > 0.05). On the other hand, the proportion of latent TB was significantly higher in uncontrolled HbA1c levels (76.2%) than in those with controlled HbA1c (23.8%) [p = 0.046]. Duration of diabetes and age at diagnosis did not affect the occurrence of latent Tuberculosis [p > 0.05]. Meanwhile, in the regression model, participants with latent TB were more likely to have uncontrolled HbA1c. [p = 0.045] CONCLUSIONS: Despite the methodological limitations, this survey highlights the high prevalence of latent TB among children and youth with diabetes; shouting for better control. These results clearly show the need to screen for Tuberculosis in children and youth with diabetes and start them on prevention as per protocol, especially in tuberculosis-endemic areas like Tanzania.
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Affiliation(s)
- Edna S Majaliwa
- Kilimanjaro Christian Medical University College, Box 2240, Moshi, Kilimanjaro, United Republic of Tanzania.
- Muhimbili National Hospital, Box 65000, Dar es Salaam, United Republic of Tanzania.
| | - Kandi Muze
- Muhimbili National Hospital, Box 65000, Dar es Salaam, United Republic of Tanzania
| | - Evance Godfrey
- Muhimbili National Hospital, Box 65000, Dar es Salaam, United Republic of Tanzania
| | - Kenneth Byashalira
- Kilimanjaro Christian Medical University College, Box 2240, Moshi, Kilimanjaro, United Republic of Tanzania
- Kibong'oto Infectious Diseases Hospital, Sanya Juu, Siha, United Republic of Tanzania
| | - Blandina T Mmbaga
- Kilimanjaro Christian Medical University College, Box 2240, Moshi, Kilimanjaro, United Republic of Tanzania
- Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania
| | - Kaushik Ramaiya
- Shree Hindu Mandal Hospital, Dar es Salaam, United Republic of Tanzania
| | - Sayoki G Mfinanga
- Muhimbili Medical Research Centre, National Institute for Medical Research, Dar es Salaam, United Republic of Tanzania
- School of Public Health, Department of Epidemiology and Statistics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania
- Alliance for Africa Research and Innovation, Dar es Salaam, United Republic of Tanzania
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Bisht MK, Dahiya P, Ghosh S, Mukhopadhyay S. The cause-effect relation of tuberculosis on incidence of diabetes mellitus. Front Cell Infect Microbiol 2023; 13:1134036. [PMID: 37434784 PMCID: PMC10330781 DOI: 10.3389/fcimb.2023.1134036] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 05/25/2023] [Indexed: 07/13/2023] Open
Abstract
Tuberculosis (TB) is one of the oldest human diseases and is one of the major causes of mortality and morbidity across the Globe. Mycobacterium tuberculosis (Mtb), the causal agent of TB is one of the most successful pathogens known to mankind. Malnutrition, smoking, co-infection with other pathogens like human immunodeficiency virus (HIV), or conditions like diabetes further aggravate the tuberculosis pathogenesis. The association between type 2 diabetes mellitus (DM) and tuberculosis is well known and the immune-metabolic changes during diabetes are known to cause increased susceptibility to tuberculosis. Many epidemiological studies suggest the occurrence of hyperglycemia during active TB leading to impaired glucose tolerance and insulin resistance. However, the mechanisms underlying these effects is not well understood. In this review, we have described possible causal factors like inflammation, host metabolic changes triggered by tuberculosis that could contribute to the development of insulin resistance and type 2 diabetes. We have also discussed therapeutic management of type 2 diabetes during TB, which may help in designing future strategies to cope with TB-DM cases.
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Affiliation(s)
- Manoj Kumar Bisht
- Laboratory of Molecular Cell Biology, Centre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad, India
- Regional Centre for Biotechnology, Faridabad, India
| | - Priyanka Dahiya
- Laboratory of Molecular Cell Biology, Centre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad, India
- Regional Centre for Biotechnology, Faridabad, India
| | - Sudip Ghosh
- Molecular Biology Unit, Indian Council of Medical Research (ICMR)-National Institute of Nutrition, Jamai Osmania PO, Hyderabad, India
| | - Sangita Mukhopadhyay
- Laboratory of Molecular Cell Biology, Centre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad, India
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11
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Kumar NP, Babu S. Impact of diabetes mellitus on immunity to latent tuberculosis infection. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1095467. [PMID: 36993821 PMCID: PMC10012073 DOI: 10.3389/fcdhc.2023.1095467] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 01/16/2023] [Indexed: 01/27/2023]
Abstract
Tuberculosis (TB) is an infectious disease that poses a major health threat and is one of the leading causes of death worldwide. Following exposure to Mycobacterium tuberculosis (M.tb) bacilli, hosts who fail to clear M.tb end up in a state of latent tuberculosis infection (LTBI), in which the bacteria are contained but not eliminated. Type 2 diabetes mellitus (DM) is a noncommunicable disease that can weaken host immunity and lead to increased susceptibility to various infectious diseases. Despite numerous studies on the relationship between DM and active TB, data on the association between DM and LTBI remains limited. Immunological data suggest that LTBI in the presence of DM leads to an impaired production of protective cytokines and poly-functional T cell responses, accounting for a potential immunological mechanism that could leads to an increased risk of active TB. This review highlights the salient features of the immunological underpinnings influencing the interaction between TB and DM in humans.
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Affiliation(s)
- Nathella Pavan Kumar
- ICMR-National Institute for Research in Tuberculosis, Chennai, India
- *Correspondence: Nathella Pavan Kumar, ,
| | - Subash Babu
- International Centre for Excellence in Research, National Institutes of Health, Chennai, India
- Laboratory of Parasitic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
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12
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Chen C, Hu X, Shao Y, Song H, Li G, Lu W, Martinez L, Xu J, Zhu L. The association between diabetes status and latent-TB IGRA levels from a cross-sectional study in eastern China. Front Cell Infect Microbiol 2023; 12:1057298. [PMID: 36726641 PMCID: PMC9884689 DOI: 10.3389/fcimb.2022.1057298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/23/2022] [Indexed: 01/17/2023] Open
Abstract
Background There is a debate regarding the sensitivity of the QuantiFERON-TB Gold In-Tube (QFT) among people with diabetes, and prior studies have shown heterogeneous results. We evaluated whether the QFT TB antigen was modified among persons with differing diabetes status and other related risk factors. Methods A cross-sectional study of 5,302 people was conducted to screen latent tuberculosis infection (LTBI) in eastern China. The QFT assay was performed as an indicator of LTBI. Fasting plasma glucose (FPG) was collected from each participant; the definition of diabetes followed the guidelines from the American Diabetes Association. Participants were classified into normoglycemia, prediabetes, undiagnosed diabetes, and previously diagnosed diabetes to evaluate the relationship between the QFT TB antigen and distinct diabetes status. Results TB antigen values from the QFT were statistically different among participants with differing diabetes status (P = 0.008). Persons with undiagnosed diabetes had a higher TB antigen value (0.96 ± 0.20) than persons with normoglycemia (0.50 ± 0.02, P < 0.05). However, the TB antigen values demonstrated no significant difference among the four different diabetic groups when stratified by the standard cutoff for the QFT (P = 0.492 for the positive group and P = 0.368 for the negative group). In a linear regression model, we found that FPG, age, and smoking were positively associated with the QFT TB antigen value (P = 0.017, P < 0.001, and P < 0.001). Conclusions Diabetes status had little influence on the level of QFT TB antigen response among IGRA-positive persons. However, FPG, old age, and smoking were important risk factors for increasing levels of QFT TB antigen.
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Affiliation(s)
- Cheng Chen
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Xinsong Hu
- Department of Epidemiology and Statistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yan Shao
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Honghuan Song
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Guoli Li
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Wei Lu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Leonardo Martinez
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, United States
| | - Jianfang Xu
- Department of Infectious Disease Control, Center for Disease Control and Prevention of Danyang County, Zhenjiang, China,*Correspondence: Limei Zhu, ; Jianfang Xu,
| | - Limei Zhu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China,*Correspondence: Limei Zhu, ; Jianfang Xu,
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13
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Ying C, He C, Xu K, Li Y, Zhang Y, Wu W. Progress on diagnosis and treatment of latent tuberculosis infection. Zhejiang Da Xue Xue Bao Yi Xue Ban 2022; 51:691-696. [PMID: 36915977 PMCID: PMC10262000 DOI: 10.3724/zdxbyxb-2022-0445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 09/20/2022] [Indexed: 12/24/2022]
Abstract
One fourth of the global population has been infected with Mycobacterium tuberculosis, and about 5%-10% of the infected individuals with latent tuberculosis infection (LTBI) will convert to active tuberculosis (ATB). Correct diagnosis and treatment of LTBI are important in ending the tuberculosis epidemic. Current methods for diagnosing LTBI, such as tuberculin skin test (TST) and interferon-γ release assay (IGRA), have limitations. Some novel biomarkers, such as transcriptome derived host genes in peripheral blood cells, will help to distinguish LTBI from ATB. More emphasis should be placed on surveillance in high-risk groups, including patients with HIV infection, those using biological agents, organ transplant recipients and those in close contact with ATB patients. For those with LTBI, treatment should be based on the risk of progression to ATB and the potential benefit. Prophylactic LTBI regimens include isoniazid monotherapy for 6 or 9 months, rifampicin monotherapy for 4 months, weekly rifapentine plus isoniazid for 3 months (3HP regimen) and daily rifampicin plus isoniazid for 3 months (3HR regimen). The success of the one month rifapentine plus isoniazid daily regimen (1HP regimen) suggests the feasibility of an ultra-short treatment strategy although its efficacy needs further assessment. Prophylactic treatment of LTBI in close contact with MDR-TB patients is another challenge, and the regimens include new anti-tuberculosis drugs such as bedaquiline, delamanid, fluoroquinolone and their combinations, which should be carefully evaluated. This article summarizes the current status of diagnosis and treatment of LTBI and its future development direction.
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Affiliation(s)
- Chiqing Ying
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Chang He
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Kaijin Xu
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Yongtao Li
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Ying Zhang
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
- 2. Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250117, China
| | - Wei Wu
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
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14
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He Y, Cao X, Guo T, He Y, Du Y, Zhang H, Feng B, Du J, Zhang B, Wang K, Yan J, Wang D, Liu Z, Pan S, Xin H, Gao L. Serial testing of latent tuberculosis infection in patients with diabetes mellitus using interferon-gamma release assay, tuberculin skin test, and creation tuberculin skin test. Front Public Health 2022; 10:1025550. [PMID: 36530654 PMCID: PMC9754324 DOI: 10.3389/fpubh.2022.1025550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/15/2022] [Indexed: 12/03/2022] Open
Abstract
Background Diabetes mellitus (DM) patients with latent tuberculosis infection (LTBI) have an increased risk of developing active tuberculosis (TB) due to impaired immunity. The performance of currently available immune response-based assays for identification of TB infection had been rarely evaluated in patients with type 2 DM (T2DM) in China. Methods A prospective study was conducted to investigate the status of LTBI in patients with confirmed T2DM. At the baseline survey, the prevalence of LTBI was tested using interferon-gamma release assay (IGRA), tuberculin skin test (TST) and creation tuberculin skin test (C-TST) in parallel. After a 3-month interval, the participants were retested by the three assays to estimate their performance in the serial testing. Results A total of 404 participants with T2DM were included in the study. At baseline, after excluding active TB, the prevalence of LTBI identified by TST (≥ 10 mm), C-TST (≥ 5 mm) and IGRA (≥ 0.35 IU/ml) were 9.65% (39/404), 10.40% (42/404) and 14.85% (60/404), respectively. The concordance of TST and C-TST results with IGRA results was 86.39% (349/404) and 92.08% (372/404) with a Kappa coefficient of 0.37 [95% confidence interval (CI): 0.24- 0.50] and 0.64 (95% CI: 0.53- 0.76), respectively. After a 3-month interval, the continuous results of TST, C-TST and IGRA were observed to be increased with testing conversion for 50, 26 and 27 patients, respectively. For TST and C-TST conversions, the distribution of their quantitative results in serial tests varied significantly when further classified by baseline IGRA dichotomous results. Conclusion In studied patients with T2DM, C-TST showed higher consistency with IGRA as compared to TST. The present of conversion observed in serial testing suggested that boosting effect of skin testing should be considered for identify of LTBI in patients with T2DM.
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Affiliation(s)
- Yijun He
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuefang Cao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tonglei Guo
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yongpeng He
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Du
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haoran Zhang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Boxuan Feng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiang Du
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Zhang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Kun Wang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Jiaoxia Yan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Dakuan Wang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Zisen Liu
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Shouguo Pan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Henan Xin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,Henan Xin
| | - Lei Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,*Correspondence: Lei Gao
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15
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Munisankar S, Rajamanickam A, Balasubramanian S, Muthusamy S, Menon PA, Ahamed SF, Whalen C, Gumne P, Kaur I, Nadimpalli V, Deverakonda A, Chen Z, Otto JD, Habitegiyorgis T, Kandaswamy H, Babu S. Prevalence of proximate risk factors of active tuberculosis in latent tuberculosis infection: A cross-sectional study from South India. Front Public Health 2022; 10:1011388. [PMID: 36276400 PMCID: PMC9583021 DOI: 10.3389/fpubh.2022.1011388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 09/14/2022] [Indexed: 01/27/2023] Open
Abstract
The prevalence of proximate risk factors for active tuberculosis (TB) in areas of high prevalence of latent tuberculosis infection (LTBI) is not clearly understood. We aimed at assessing the prevalence of non-communicable multi-morbidity focusing on diabetes mellitus (DM), malnutrition, and hypertension (HTN) as common risk factors of LTBI progressing to active TB. In a cross-sectional study, 2,351 adults (45% male and 55% female) from villages in the Kancheepuram district of South India were enrolled between 2013 and 2020. DM was defined as HbA1c >6.4%, undernutrition was defined as low body mass index (LBMI) <18.5 kg/m2, obesity was classified as BMI ≥25 kg/m2, HTN was reported as systolic pressure >130 mmHg, and LTBI was defined as positive (≥ 0.35 international units/ml) by QuantiFERON Gold In-Tube assay. A total of 1,226 individuals (52%) were positive for LTBI out of 2351 tested individuals. The prevalence of DM and pre-diabetes mellitus (PDM) was 21 and 35%, respectively, HTN was 15% in latent tuberculosis (LTB)-infected individuals. The association of DM [odds ratio (OR)]; adjusted odds ratio (aOR) (OR = 1.26, 95% CI: 1.13-1.65; aOR = 1.19, 95% CI: 1.10-1.58), PDM (OR = 1.11, 95% CI: 1.0-1.35), and HTN (OR = 1.28, 95% CI: 1.11-1.62; aOR = 1.18, 95% CI: 1.0-1.56) poses as risk factors of LTBI progression to active TB. The prevalence of LBMI 9% (OR = 1.07, 95% CI: 0.78-1.48) and obesity 42% (OR = 0.85, 95% CI: 0.70-1.03) did not show any statistically significant association with LTB-infected individuals. The present evidence of a high burden of multi-morbidity suggests that proximate risk factors of active TB in LTBI can be managed by nutrition and lifestyle modification.
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Affiliation(s)
- Saravanan Munisankar
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India,*Correspondence: Saravanan Munisankar
| | - Anuradha Rajamanickam
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - Suganthi Balasubramanian
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - Satishwaran Muthusamy
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | | | - Shaik Fayaz Ahamed
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - Christopher Whalen
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Paschaline Gumne
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Inderdeep Kaur
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Varma Nadimpalli
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Akshay Deverakonda
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Zhenhao Chen
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - John David Otto
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Tesfalidet Habitegiyorgis
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Harish Kandaswamy
- Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Subash Babu
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India,Laboratory of Parasitic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
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16
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Torres AV, Corrêa RDS, Bevilacqua MDF, do Prado LCF, Bandeira FMGDC, Rodrigues LS, Gomes MB. Screening of latent tuberculosis infection among patients with diabetes mellitus from a high-burden area in Brazil. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:914574. [PMID: 36992754 PMCID: PMC10012069 DOI: 10.3389/fcdhc.2022.914574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/05/2022] [Indexed: 06/19/2023]
Abstract
Although several cohort studies have raised the important association between diabetes mellitus (DM) and latent tuberculosis infection (LTBI), evidences are limited and controversial. Furthermore, it is well documented that the poor glycemic control may exacerbate the risk for active TB. Thus, the monitoring of diabetic patients living in high-incidence areas for TB is an important concern in views of available diagnostic tests for LTBI. In this cross-sectional study, we estimate the association of DM and LTBI among diabetic patients classified as type-1 DM (T1D) or type-2 DM (T2D) living in Rio de Janeiro, RJ, Brazil - considered a high TB burden region of these country. Non-DM volunteers were included as endemic area healthy controls. All participants were screened for DM using glycosylated-hemoglobin (HbA1c) and for LTBI using the QuantiFERON-TB Gold in Tube (QFT-GIT). Demographic, socioeconomic, clinical and laboratorial data were also assessed. Among 553 included participants, 88 (15.9%) had QFT-GIT positive test, of which 18 (20.5%) were non-DM, 30 (34.1%) T1D and 40 (45.4%) T2D. After adjustments for potential baseline confounders, age, self-reported non-white skin color and an active TB case in the family were significantly associated with LTBI among the studied population by using a hierarchical multivariate logistic regression analysis. Additionally, we verified that T2D patients were able to produce significant increased interferon-gamma (IFN-γ) plasma levels in response to Mycobacterium tuberculosis-specific antigens, when compared to non-DM individuals. Altogether, our data showed an increased prevalence of LTBI among DM patients, albeit non-statistically significant, and point out to important independent factors associated with LTBI, which deserve attention in monitoring patients with DM. Moreover, QFT-GIT test seems to be a good tool to screening LTBI in this population, even in a high TB burden area.
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Affiliation(s)
- Amanda Vital Torres
- Diabetes Unit, Department of Internal Medicine, Faculty of Medical Science, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
- Laboratory of Immunopathology, Department of Pathology and Laboratories, Faculty of Medical Science, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
| | - Raquel da Silva Corrêa
- Laboratory of Immunopathology, Department of Pathology and Laboratories, Faculty of Medical Science, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
| | - Maria de Fátima Bevilacqua
- Diabetes Unit, Department of Internal Medicine, Faculty of Medical Science, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
| | - Luana Cristina França do Prado
- Laboratory of Immunopathology, Department of Pathology and Laboratories, Faculty of Medical Science, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
| | - Flavia Miranda Gomes de Constantino Bandeira
- Hematology and Transfusion Unit, Department of Internal Medicine, Faculty of Medical Science, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
- Herbert de Souza Hemotherapy Service, Pedro Ernesto University Hospital (HUPE), Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
| | - Luciana Silva Rodrigues
- Laboratory of Immunopathology, Department of Pathology and Laboratories, Faculty of Medical Science, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
| | - Marilia Brito Gomes
- Diabetes Unit, Department of Internal Medicine, Faculty of Medical Science, Rio de Janeiro State University (UERJ), Rio de Janeiro, RJ, Brazil
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17
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Smith AGC, Kempker RR, Wassie L, Bobosha K, Nizam A, Gandhi NR, Auld SC, Magee MJ, Blumberg HM. The Impact of Diabetes and Prediabetes on Prevalence of Mycobacterium tuberculosis Infection Among Household Contacts of Active Tuberculosis Cases in Ethiopia. Open Forum Infect Dis 2022; 9:ofac323. [PMID: 36420425 PMCID: PMC9595051 DOI: 10.1093/ofid/ofac323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/28/2022] [Indexed: 02/03/2023] Open
Abstract
Background It is uncertain whether diabetes affects the risk of developing latent tuberculosis infection (LTBI) following exposure to Mycobacterium tuberculosis (Mtb). We assessed the relationship of diabetes or prediabetes and LTBI among close and household contacts (HHCs) of patients with active pulmonary tuberculosis (TB) disease in Addis Ababa, Ethiopia. Methods In this cross-sectional study, we performed interferon-γ release assays, TB symptom screening, and point-of-care glycolated hemoglobin (HbA1c) testing among HHCs of active TB cases. Diabetes status was classified into diabetes (HbA1c ≥6.5% or self-reported diagnosis), prediabetes (5.7%-6.4%), and euglycemia (≤5.6%). Multivariable logistic regression was used to determine the association of diabetes with LTBI. Results Among 597 study participants, 123 (21%) had dysglycemia including diabetes (n = 31) or prediabetes (n = 92); 423 (71%) participants were diagnosed with LTBI. Twelve of 31 (39%) HHCs with diabetes were previously undiagnosed with diabetes. The prevalence of LTBI among HHCs with diabetes, prediabetes, and euglycemia was 87% (27/31), 73% (67/92), and 69% (329/474), respectively. In multivariable analysis adjusted for age, sex, and HIV status, the odds of LTBI among HHCs with diabetes were 2.33 (95% confidence interval [CI], .76-7.08) times the odds of LTBI without diabetes. When assessing interaction with age, the association of diabetes and LTBI was robust among participants aged ≥40 years (adjusted odds ratio [aOR], 3.68 [95% CI, .77-17.6]) but not those <40 years (aOR, 1.15 [95% CI, .22-6.1]). Conclusions HHCs with diabetes may be more likely to have LTBI than those with euglycemia. Further investigations are needed to assess mechanisms by which diabetes may increase risk of LTBI after Mtb exposure.
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Affiliation(s)
- Alison G C Smith
- Correspondence: Alison G. C. Smith, MD, MSc, Emory University School of Medicine, 201 Dowman Drive, Atlanta, GA 30322, USA ()
| | - Russell R Kempker
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Liya Wassie
- Mycobacterial Disease Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Kidist Bobosha
- Mycobacterial Disease Research Directorate, Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Azhar Nizam
- Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Neel R Gandhi
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA,Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA,Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Sara C Auld
- Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Matthew J Magee
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA,Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, Georgia, USA,Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Henry M Blumberg
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA,Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
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Aravindhan V, Bobhate A, Sathishkumar K, Patil A, Kumpatla S, Viswanathan V. Unique Reciprocal Association Seen Between Latent Tuberculosis Infection and Diabetes Is Due to Immunoendocrine Modulation (DM-LTB-1). Front Microbiol 2022; 13:884374. [PMID: 35832818 PMCID: PMC9271927 DOI: 10.3389/fmicb.2022.884374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 05/16/2022] [Indexed: 11/28/2022] Open
Abstract
Aim The prevalence of latent tuberculosis infection (LTBI) among diabetes patients is poorly studied. In the present study, the prevalence of LTBI among pre-diabetes and diabetes patients was studied, along with immunoendocrine biomarkers (n = 804). Methods LTBI was screened by Quantiferon TB gold in Normal glucose tolerance [(NGT); n = 170, [Pre-diabetes (PDM; n = 209), Newly diagnosed diabetes (NDM; n = 165) and Known diabetes (KDM; n = 260) subjects. CRP, TNF-α, IL-6, IL-1β, IFN-β, IL-12, IFN-γ, IL-2, insulin, leptin, and adiponectin levels in serum and IFN-γ levels in quantiferon supernatants were quantified by ELISA. The expression of T-bet was quantified using qRT-PCR. Serum TBARS and nitrite levels were quantified by colorimetry. Results The LTBI prevalence was 32% in NGT, 23% in PDM, 24% in NDM, and 32% in KDM groups, with an adjusted OR of 0.61 (p < 0.05). Downregulation of CRP, TNF-α, and nitrites and upregulation of adiponectin could be responsible for LTBI mediated protection against insulin resistance (IR), while the high levels of IL-1β, IL-12, and leptin could be responsible for IR mediated anti-TB immunity. The defective antigen-specific IFN-γ response, as seen in the KDM group, could be responsible for the low detection rate of LTBI and high probability of endogenous reactivation. Conclusion There appears to be a biphasic relationship between diabetes-latent tuberculosis: At the early stages of diabetes it is reciprocal, while at a late stage it is synergistic, this important phenomenon obviously needs further research.
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Affiliation(s)
- Vivekanandhan Aravindhan
- Department of Genetics, Dr. ALM PG IBMS, University of Madras, Chennai, India
- *Correspondence: Vivekanandhan Aravindhan
| | - Anup Bobhate
- Prof. M. Viswanathan Diabetes Research Centre, Chennai, India
| | - Kuppan Sathishkumar
- Department of Genetics, Dr. ALM PG IBMS, University of Madras, Chennai, India
| | - Aruna Patil
- ESIC-PGIMSR Medical College and Hospital, Chennai, India
| | | | - Vijay Viswanathan
- Prof. M. Viswanathan Diabetes Research Centre, Chennai, India
- Vijay Viswanathan
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Antonio-Arques V, Franch-Nadal J, Moreno-Martinez A, Real J, Orcau À, Mauricio D, Mata-Cases M, Julve J, Navas Mendez E, Puig Treserra R, Barrot de la Puente J, Millet JP, Del Val García JL, Vlacho B, Caylà JA. Subjects With Diabetes Mellitus Are at Increased Risk for Developing Tuberculosis: A Cohort Study in an Inner-City District of Barcelona (Spain). Front Public Health 2022; 10:789952. [PMID: 35677764 PMCID: PMC9168433 DOI: 10.3389/fpubh.2022.789952] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 04/12/2022] [Indexed: 12/03/2022] Open
Abstract
Background Tuberculosis is the leading cause of mortality from lung infectious disease worldwide in recent years, and its incidence has re-emerged in large cities in low-incidence countries due to migration and socioeconomic deprivation causes. Diabetes mellitus and tuberculosis are syndemic diseases, with diabetes being considered a risk factor for developing tuberculosis. Objective To investigate whether diabetic patients were at increased risk of tuberculosis living in an inner-district of a large city of northeastern Spain. Methods Observational matched retrospective cohort study based on clinical records from the population of the lowest socioeconomic status in Barcelona (Ciutat Vella district). A cohort including patients with type 1 and type 2 diabetes mellitus in 2007 and new cases until 2016 (8004 subjects), matched 1:1 by sex and age with a non-diabetic cohort. Follow-up period was until December 31st 2018. We evaluated the risk of developing tuberculosis in diabetic patients compared to non-diabetic patients during the follow up period. We used time-to-event analysis to estimate the incidence of tuberculosis, and competing risks regression by clusters and conditional Cox regression models to calculate the hazard ratio (HR) and its 95% confidence intervals (CI). Results Among the 16,008 included subjects, the median follow-up was 8.7 years. The mean age was 57.7 years; 61.2% men and 38.8% women in both groups. The incidence of tuberculosis was 69.9 per 100,000 person-years in diabetic patients, and 40.9 per 100,000 person-years in non-diabetic patients (HR = 1.90; CI: 1.18-3.07). After adjustment for the country of origin, chronic kidney disease, number of medical appointments, BMI, alcoholism and smoking, the risk remained higher in diabetic patients (1.66: CI 0.99-2.77). Additionally, subjects from Hindustan or with a history of alcohol abuse also showed a higher risk of developing tuberculosis (HR = 3.51; CI:1.87-6.57, and HR = 2.73; CI:1.22-6.12 respectively). Conclusion People with diabetes mellitus were at higher risk of developing tuberculosis in a large cohort recruited in an inner-city district with a high incidence for this outcome, and low socioeconomic conditions and high proportion of migrants. This risk was higher among Hindustan born and alcohol abusers.
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Affiliation(s)
- Violeta Antonio-Arques
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Primary Health Care Center Bordeta Magòria, Gerència d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain
| | - Josep Franch-Nadal
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Primary Health Care Center Raval Sud, Gerència d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Antonio Moreno-Martinez
- Department of Infectious Diseases, Hospital Clínic de Barcelona, Barcelona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jordi Real
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Àngels Orcau
- CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Epidemiology Service, Agència de Salut Pública de Barcelona, Barcelona, Spain
| | - Didac Mauricio
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitari de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Medicine, University of Vic—Central University of Catalonia, Barcelona, Spain
| | - Manel Mata-Cases
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Primary Health Care Center La Mina, Gerència d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain
| | - Josep Julve
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Biochemistry, Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Elena Navas Mendez
- Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Rai Puig Treserra
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Joan Barrot de la Puente
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Primary Health Care Center Doctor Jordi Nadal, Gerència d'Atenció Primària Girona Ciutat, Institut Catala de la Salut, Salt, Spain
| | - Joan Pau Millet
- CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Epidemiology Service, Agència de Salut Pública de Barcelona, Barcelona, Spain
| | - Jose Luis Del Val García
- Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Unitat d'Avaluació, Sistemes d'informació i Qualitat, Gerència d'Àmbit d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain
| | - Bogdan Vlacho
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Joan A. Caylà
- Foundation of the Tuberculosis Research Unit of Barcelona, Barcelona, Spain
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Liu Q, Yan W, Liu R, Bo E, Liu J, Liu M. The Association Between Diabetes Mellitus and the Risk of Latent Tuberculosis Infection: A Systematic Review and Meta-Analysis. Front Med (Lausanne) 2022; 9:899821. [PMID: 35547228 PMCID: PMC9082645 DOI: 10.3389/fmed.2022.899821] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
Background The estimated global latent tuberculosis infection (LTBI) burden indicates a large reservoir of population at risk of developing active tuberculosis (TB). Previous studies suggested diabetes mellitus (DM) might associate with LTBI, though still controversial. We aimed to systematically assess the association between DM and LTBI. Methods We searched PubMed, Embase, Cochrane Library and Web of Science. Observational studies reporting the number of LTBI and non-LTBI individuals with and without DM were included. Random-effects or fixed-effects models were used to estimate the pooled effect by risk ratios (RRs) and odds ratios (ORs) and its 95% confidence interval (CI), using the original number of participants involved. Results 20 studies involving 4,055,082 participants were included. The pooled effect showed a significant association between DM and LTBI (for cohort studies, RR = 1.62, 95% CI: 1.02-2.56; for cross-sectional studies, OR = 1.55, 95% CI: 1.30-1.84). The pooled OR was high in studies with healthcare workers (5.27, 95% CI: 1.52-8.20), refugees (2.88, 95% CI: 1.93-4.29), sample size of 1,000-5,000 (1.99, 95% CI: 1.49-2.66), and male participants accounted for less than 40% (2.28, 95% CI: 1.28-4.06). Prediabetes also associated with LTBI (OR = 1.36, 95% CI: 1.01-1.84). Conclusion The risk of LTBI was found to be a 60% increase in DM patients, compared with non-DM patients. LTBI screening among DM patients could be of vital importance. More studies are needed to explore appropriate strategies for targeted LTBI screening among DM patients.
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Affiliation(s)
- Qiao Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenxin Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Runqing Liu
- School of Health Humanities, Peking University, Beijing, China
| | - Ershu Bo
- School of Basic Medicine, Peking University, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Host Metabolic Changes during Mycobacterium Tuberculosis Infection Cause Insulin Resistance in Adult Mice. J Clin Med 2022; 11:jcm11061646. [PMID: 35329973 PMCID: PMC8948975 DOI: 10.3390/jcm11061646] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/07/2022] [Accepted: 03/14/2022] [Indexed: 02/06/2023] Open
Abstract
Tuberculosis (TB) is a highly infectious bacterial disease that primarily attacks the lungs. TB is manifested either as latent TB infection (LTBI) or active TB disease, the latter posing a greater threat to life. The risk of developing active TB disease from LTBI is three times higher in individuals with type 2 diabetes mellitus (T2DM). The association between TB and T2DM is becoming more prominent as T2DM is rapidly increasing in settings where TB is endemic. T2DM is a chronic metabolic disorder characterized by elevated blood glucose, insulin resistance, and relative insulin deficiency. Insulin resistance and stress-induced hyperglycemia have been shown to be increased by TB and to return to normal upon treatment. Previously, we demonstrated that adipocytes (or fat tissue) regulate pulmonary pathology, inflammation, and Mycobacterium tuberculosis (Mtb) load in a murine model of TB. Metabolic disturbances of adipose tissue and/or adipocyte dysfunction contribute to the pathogenesis of T2DM. Thus, pathological adipocytes not only regulate pulmonary pathology, but also increase the risk for T2DM during TB infection. However, the cellular and molecular mechanisms driving the interaction between hyperglycemia, T2DM and TB remain poorly understood. Here, we report the impact of Mtb infection on the development of insulin resistance in mice fed on a regular diet (RD) versus high-fat diet (HFD) and, conversely, the effect of hyperglycemia on pulmonary pathogenesis in juvenile and adult mouse models. Overall, our study demonstrated that Mtb persists in adipose tissue and that Mtb infection induces irregular adipocyte lipolysis and loss of fat cells via different pathways in RD- and HFD-fed mice. In RD-fed mice, the levels of TNFα and HSL (hormone sensitive lipase) play an important role whereas in HFD-fed mice, ATGL (adipose triglyceride lipase) plays a major role in regulating adipocyte lipolysis and apoptosis during Mtb infection in adult mice. We also showed that Mtb infected adult mice that were fed an RD developed insulin resistance similar to infected adult mice that were overweight due to a HFD diet. Importantly, we found that a consequence of Mtb infection was increased lipid accumulation in the lungs, which altered cellular energy metabolism by inhibiting major energy signaling pathways such as insulin, AMPK and mToR. Thus, an altered balance between lipid metabolism and glucose metabolism in adipose tissue and other organs including the lungs may be an important component of the link between Mtb infection and subsequent metabolic syndrome.
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22
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Foe-Essomba JR, Kenmoe S, Tchatchouang S, Ebogo-Belobo JT, Mbaga DS, Kengne-Ndé C, Mahamat G, Kame-Ngasse GI, Noura EA, Mbongue Mikangue CA, Feudjio AF, Taya-Fokou JB, Touangnou-Chamda SA, Nayang-Mundo RA, Nyebe I, Magoudjou-Pekam JN, Yéngué JF, Djukouo LG, Demeni Emoh CP, Tazokong HR, Bowo-Ngandji A, Lontchi-Yimagou E, Kaiyven AL, Donkeng Donfack VF, Njouom R, Mbanya JC, Mbacham WF, Eyangoh S. Diabetes mellitus and tuberculosis, a systematic review and meta-analysis with sensitivity analysis for studies comparable for confounders. PLoS One 2021; 16:e0261246. [PMID: 34890419 PMCID: PMC8664214 DOI: 10.1371/journal.pone.0261246] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 11/28/2021] [Indexed: 11/22/2022] Open
Abstract
Introduction Meta-analyses conducted so far on the association between diabetes mellitus (DM) and the tuberculosis (TB) development risk did not sufficiently take confounders into account in their estimates. The objective of this systematic review was to determine whether DM is associated with an increased risk of developing TB with a sensitivity analyses incorporating a wider range of confounders including age, gender, alcohol consumption, smoke exposure, and other comorbidities. Methods Pubmed, Embase, Web of Science and Global Index Medicus were queried from inception until October 2020. Without any restriction to time of study, geographical location, and DM and TB diagnosis approaches, all observational studies that presented data for associations between DM and TB were included. Studies with no abstract or complete text, duplicates, and studies with wrong designs (review, case report, case series, comment on an article, and editorial) or populations were excluded. The odds ratios (OR) and their 95% confidence intervals were estimated by a random-effect model. Results The electronic and manual searches yielded 12,796 articles of which 47 were used in our study (23 case control, 14 cross-sectional and 10 cohort studies) involving 503,760 cases (DM or TB patients) and 3,596,845 controls. The size of the combined effect of TB risk in the presence of DM was OR = 2.3, 95% CI = [2.0–2.7], I2 = 94.2%. This statistically significant association was maintained in cohort (OR = 2.0, CI 95% = [1.5–2.4], I2 = 94.3%), case control (OR = 2.4, CI 95% = [2.0–2.9], I2 = 93.0%) and cross-sectional studies (OR = 2.5, CI 95% = [1.8–3.5], I2 = 95.2%). The association between DM and TB was also maintained in the sensitivity analysis including only studies with similar proportions of confounders between cases and controls. The substantial heterogeneity observed was mainly explained by the differences between geographic regions. Conclusions DM is associated with an increased risk of developing latent and active TB. To further explore the role of DM in the development of TB, more investigations of the biological mechanisms by which DM increases the risk of TB are needed. Review registration PROSPERO, CRD42021216815.
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Affiliation(s)
- Joseph Rodrigue Foe-Essomba
- Camdiagnostic, Ministry of Scientific Research and Innovation, Yaounde, Cameroon
- Faculty of Medicine and Biomedical Sciences, The University of Yaounde I, Yaounde, Cameroon
- Department of Mycobacteriology, Centre Pasteur of Cameroon, Yaounde, Cameroon
| | - Sebastien Kenmoe
- Virology Department, Centre Pasteur of Cameroon, Yaounde, Cameroon
| | | | - Jean Thierry Ebogo-Belobo
- Medical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon
| | | | - Cyprien Kengne-Ndé
- Evaluation and Research Unit, National AIDS Control Committee, Yaounde, Cameroon
| | - Gadji Mahamat
- Department of Microbiology, The University of Yaounde I, Yaounde, Cameroon
| | - Ginette Irma Kame-Ngasse
- Medical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon
| | - Efietngab Atembeh Noura
- Medical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon
| | | | | | | | | | | | - Inès Nyebe
- Department of Microbiology, The University of Yaounde I, Yaounde, Cameroon
| | | | | | | | | | | | - Arnol Bowo-Ngandji
- Department of Microbiology, The University of Yaounde I, Yaounde, Cameroon
| | - Eric Lontchi-Yimagou
- Laboratory for Molecular Medicine and Metabolism, The University of Yaounde I, Yaounde, Cameroon
| | - Afi Leslie Kaiyven
- Institute of Biomedical and Clinical Research, University of Exeter, Exeter, United Kingdom
| | | | - Richard Njouom
- Virology Department, Centre Pasteur of Cameroon, Yaounde, Cameroon
| | - Jean Claude Mbanya
- Laboratory for Molecular Medicine and Metabolism, The University of Yaounde I, Yaounde, Cameroon
| | | | - Sara Eyangoh
- Department of Mycobacteriology, Centre Pasteur of Cameroon, Yaounde, Cameroon
- * E-mail:
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Hong L, Lin L, Chen J, Wu B. CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:1101930. [PMID: 34840593 PMCID: PMC8616654 DOI: 10.1155/2021/1101930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/22/2021] [Accepted: 11/02/2021] [Indexed: 11/18/2022]
Abstract
The study was aimed at exploring the application value of the CT image based on a filtered back projection (FBP) algorithm in the diagnosis of patients with diabetes complicated with tuberculosis and at analyzing the influence of dietary nursing on patients with diabetes complicated with tuberculosis. In this study, the FBP algorithm was used to optimize CT images to effectively obtain reconstructed ROI images. Then, the deviation from measurement values of reconstructed images at different pixel levels was analyzed. 138 patients with diabetes complicated with tuberculosis were selected as research subjects to compare the number of lung segments involved and the CT imaging manifestations at different fasting glucose levels. All patients were divided into the control group (routine drug treatment) and observation group (diet intervention on the basis of drug treatment) by random number table method, and the effect of different nursing methods on the improvement of patients' clinical symptoms was discussed. The results showed that the distance measurement value decreased with the increase in pixel level, there was no significant difference in the number of lung segments involved in patients with different fasting glucose levels (P > 0.05), and there were statistically significant differences in the incidence of segmental lobar shadow, bronchial air sign, wall-less cavity, thick-walled cavity, pulmonary multiple cavity, and bronchial tuberculosis in patients with different fasting glucose levels (P < 0.05). Compared with the control group, 2 h postprandial blood glucose level in the observation group was significantly improved (P < 0.05), there was a statistical significance in the number with reduced pleural effusion and the number with reduced tuberculosis foci in the two groups (P < 0.05), and the level of hemoglobin in the observation group was 7.1 ± 1.26, significantly lower than that in the control group (8.91 ± 2.03, P < 0.05). It suggested that the changes of CT images based on the FBP reconstruction algorithm were correlated with fasting blood glucose level. Personalized diet nursing intervention can improve the clinical symptoms of patients, which provides a reference for the clinical diagnosis and treatment of patients with diabetes complicated with tuberculosis.
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Affiliation(s)
- Lili Hong
- Pulmonary and Critical Care Medicine (PCCM), Quanzhou First Hospital, Quanzhou, 362000 Fujian, China
| | - Liling Lin
- Hospital Infection-Control Office, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000 Fujian, China
| | - Jingping Chen
- Pulmonary and Critical Care Medicine (PCCM), Quanzhou First Hospital, Quanzhou, 362000 Fujian, China
| | - Biyu Wu
- Department of Nursing, Quanzhou First Hospital, Quanzhou, 362000 Fujian, China
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Hegazy WAH, Rajab AAH, Abu Lila AS, Abbas HA. Anti-diabetics and antimicrobials: Harmony of mutual interplay. World J Diabetes 2021; 12:1832-1855. [PMID: 34888011 PMCID: PMC8613656 DOI: 10.4239/wjd.v12.i11.1832] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/26/2021] [Accepted: 10/25/2021] [Indexed: 02/06/2023] Open
Abstract
Diabetes is one of the four major non-communicable diseases, and appointed by the world health organization as the seventh leading cause of death worldwide. The scientists have turned over every rock in the corners of medical sciences in order to come up with better understanding and hence more effective treatments of diabetes. The continuous research on the subject has elucidated the role of immune disorders and inflammation as definitive factors in the trajectory of diabetes, assuring that blood glucose adjustments would result in a relief in the systemic stress leading to minimizing inflammation. On a parallel basis, microbial infections usually take advantage of immunity disorders and propagate creating a pro-inflammatory environment, all of which can be reversed by antimicrobial treatment. Standing at the crossroads between diabetes, immunity and infection, we aim in this review at projecting the interplay between immunity and diabetes, shedding the light on the overlapping playgrounds for the activity of some antimicrobial and anti-diabetic agents. Furthermore, we focused on the anti-diabetic drugs that can confer antimicrobial or anti-virulence activities.
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Affiliation(s)
- Wael A H Hegazy
- Department of Microbiology and Immunology, Zagazig University, Zagzig 44519, Egypt
| | - Azza A H Rajab
- Department of Microbiology and Immunology, Zagazig University, Zagzig 44519, Egypt
| | - Amr S Abu Lila
- Department of Pharmaceutics, Zagazig University, Faculty of Pharmacy, Zagzig 44519, Egypt
- Department of Pharmaceutics, College of Pharmacy, University of Hail, Hail 81442, Saudi Arabia
| | - Hisham A Abbas
- Department of Microbiology and Immunology, Zagazig University, Zagzig 44519, Egypt
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Lam AA, Lepe A, Wild SH, Jackson C. Diabetes comorbidities in low- and middle-income countries: An umbrella review. J Glob Health 2021; 11:04040. [PMID: 34386215 PMCID: PMC8325931 DOI: 10.7189/jogh.11.04040] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Background Diabetes mellitus, particularly type 2 diabetes, is a major public health burden globally. Diabetes is known to be associated with several comorbidities in high-income countries. However, our understanding of these associations in low- and middle-income countries (LMICs), where the epidemiological transition is leading to a growing dual burden of non-communicable and communicable disease, is less clear. We therefore conducted an umbrella review to systematically identify, appraise and synthesise reviews reporting the association between diabetes and multiple key comorbidities in LMICs. Methods We searched Medline, Embase, Global Health, and Global Index Medicus from inception to 14 November 2020 for systematic reviews, with or without meta-analyses, of cohort, case-control or cross-sectional studies investigating the associations between diabetes and cardiovascular disease (CVD), chronic kidney disease (CKD), depression, dengue, pneumonia, and tuberculosis within LMICs. We sought reviews of studies focused on LMICs, but also included reviews with a mixture of high-income and at least two LMIC studies, extracting data from LMIC studies only. We conducted quality assessment of identified reviews using an adapted AMSTAR 2 checklist. Where appropriate, we re-ran meta-analyses to pool LMIC study estimates and conduct subgroup analyses. Results From 11 001 articles, we identified 14 systematic reviews on the association between diabetes and CVD, CKD, depression, or tuberculosis. We did not identify any eligible systematic reviews on diabetes and pneumonia or dengue. We included 269 studies from 29 LMICs representing over 3 943 083 participants. Diabetes was positively associated with all comorbidities, with tuberculosis having the most robust evidence (16 of 26 cohort studies identified in total) and depression being the most studied (186 of 269 studies). The majority (81%) of studies included were cross-sectional. Heterogeneity was substantial for almost all secondary meta-analyses conducted, and there were too few studies for many subgroup analyses. Conclusions Diabetes has been shown to be associated with several comorbidities in LMICs, but the nature of the associations is uncertain because of the large proportion of cross-sectional study designs. This demonstrates the need to conduct further primary research in LMICs, to improve, and address current gaps in, our understanding of diabetes comorbidities and complications in LMICs.
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Affiliation(s)
- Anastasia A Lam
- Usher Institute, University of Edinburgh, Edinburgh, UK.,School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK.,Max Planck Institute for Demographic Research, Rostock, Germany
| | - Alexander Lepe
- Usher Institute, University of Edinburgh, Edinburgh, UK.,Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sarah H Wild
- Usher Institute, University of Edinburgh, Edinburgh, UK
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Reddy D, Ma Y, Lakshminarayanan S, Sahu S, White LF, Reshma A, Roy G, Salgame P, Knudsen S, Cintron C, Ellner JJ, Horsburgh CR, Sarkar S, Hochberg NS. Severe undernutrition in children affects tuberculin skin test performance in Southern India. PLoS One 2021; 16:e0250304. [PMID: 34270546 PMCID: PMC8284816 DOI: 10.1371/journal.pone.0250304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 04/04/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Undernutrition impairs immunity to Mycobacterium tuberculosis and is a risk factor for tuberculosis disease (TB). We aim to investigate if severe undernutrition affects the tuberculin skin test (TST) response among household contacts (HHCs) of pulmonary TB cases. METHODS We analyzed data from HHCs (> five years) of pulmonary TB cases in Southern India. Undernutrition was defined as per World Health Organization based on body mass index (BMI) for adults (undernutrition 16-18.4 and severe undernutrition <16 kg/m2) and BMI relative to the mean for children (undernutrition 2SD-3SD and severe undernutrition < 3SDs below mean). Univariate and multivariate models of TST positivity (> five mm) were calculated using logistic regression with generalized estimating equations. RESULTS Among 1189 HHCs, 342 were children (age 5-17 years) and 847 were adults. Prevalence of TST positivity in well-nourished, undernourished and severely undernourished children was 135/251 (53.8%), 32/68 (47.1%), and 7/23 (30.4%) respectively; among adults, prevalence of TST positivity was 304/708 (42.9%), 43/112 (38.4%) and 12/26 (46.2%), respectively. Severe undernutrition in children was associated with decreased odds of TST positivity (adjusted odds ratio 0.3; 95%CI 0.1-0.9). CONCLUSION Severe undernutrition in children was associated with decreased odds of TST positivity. False-negative TSTs may result from undernutrition; caution is warranted when interpreting negative results in undernourished populations.
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Affiliation(s)
- Divya Reddy
- Department of Medicine, Pulmonary Division, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Yicheng Ma
- Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, United States of America
| | - Subitha Lakshminarayanan
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Swaroop Sahu
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Laura F. White
- Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, United States of America
| | - Ayiraveetil Reshma
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Gautam Roy
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Padmini Salgame
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Selby Knudsen
- Department of Medicine, Section of Infectious Diseases, Boston University, School of Medicine, Boston, Massachusetts, United States of America
| | - Chelsie Cintron
- Department of Medicine, Section of Infectious Diseases, Boston University, School of Medicine, Boston, Massachusetts, United States of America
| | - Jerrold J. Ellner
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - C. Robert Horsburgh
- Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, United States of America
- Department of Medicine, Section of Infectious Diseases, Boston University, School of Medicine, Boston, Massachusetts, United States of America
- Department of Epidemiology, Boston University, School of Public Health, Boston, Massachusetts, United States of America
| | - Sonali Sarkar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Natasha S. Hochberg
- Department of Medicine, Section of Infectious Diseases, Boston University, School of Medicine, Boston, Massachusetts, United States of America
- Department of Epidemiology, Boston University, School of Public Health, Boston, Massachusetts, United States of America
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Raj S, Venugopal U, Pant G, Kalyan M, Arockiaraj J, Krishnan MY, Pasupuleti M. Anti-mycobacterial activity evaluation of designed peptides: cryptic and database filtering based approach. Arch Microbiol 2021; 203:4891-4899. [PMID: 34244831 DOI: 10.1007/s00203-021-02474-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/30/2021] [Accepted: 07/01/2021] [Indexed: 01/21/2023]
Abstract
Worldwide, TB is one of the deadly airborne diseases, which accounts for 10.4 million deaths annually. Serious toxicity issue, prolonged treatment regimens of the current drugs, rise in multidrug-resistant strains, and the unique defensive mechanism makes the development of novel therapeutic molecules against Mycobacterium tuberculosis (MT) an urgent need. As MT has a lengthy latent phase and unique cell wall architecture, a reasonable approach is needed to find molecules having a different killing mechanism rather than traditional approaches. Host defence peptides (HDPs) will be the most promising alternative, potential therapeutic candidates as they target the microbial membrane in particular and are an essential part of the innate immunity of humans. This works demonstrates the utility of "Database filtering" and three-dimensional (3D) modelling approach in finding novel AMPs with appreciable activity towards MT. Results of this study indicate that peptides with 70% hydrophobicity, but without hydrophobicity patches (> 4 hydrophobic amino acids in series) and charge of + 4 or + 5 are most likely to be good anti-tubercular candidates.
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Affiliation(s)
- Sneha Raj
- Microbiology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India
| | - Umamageswaran Venugopal
- Microbiology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India
| | - Garima Pant
- Electron Microscopy Unit, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India
| | - Mitra Kalyan
- Electron Microscopy Unit, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India
| | - Jesu Arockiaraj
- SRM Research Institute, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, 603 203, India
| | - Manju Y Krishnan
- Microbiology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India
| | - Mukesh Pasupuleti
- Microbiology Division, CSIR-Central Drug Research Institute, Sector 10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, India.
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Salindri AD, Haw JS, Amere GA, Alese JT, Umpierrez GE, Magee MJ. Latent tuberculosis infection among patients with and without type-2 diabetes mellitus: results from a hospital case-control study in Atlanta. BMC Res Notes 2021; 14:252. [PMID: 34193265 PMCID: PMC8247096 DOI: 10.1186/s13104-021-05662-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 06/17/2021] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE The purpose of this study is to compare the prevalence of latent TB infection (LTBI) among patients with type-2 diabetes mellitus (T2DM) to healthy controls without T2DM. To achieve this objective, we conducted a case-control study in a large hospital in Atlanta from 2016 to 2019. RESULTS We enrolled 98 cases; 119 potential controls were screened, 84 of which had HbA1c ≥ 5.7% and one did not have QFT result, leaving 34 (28.6%) individuals enrolled as controls. LTBI prevalence was 9.2% among cases and 14.7% among controls (crude odds ratio 0.59, 95% CI 0.19-2.04). After adjusting for age and sex, the adjusted odds of LTBI among patients with T2DM was 0.45 (95% CI 0.13, 1.71) times the controls. We did not observe a statistically significant association between LTBI and T2DM. However, we reported a positive correlation between HbA1c level and nil count among individuals with LTBI (R2 = 0.55, p < 0.01). In addition, we reported a high prevalence of LTBI among adults with T2DM and family members without T2DM.
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Affiliation(s)
- Argita D Salindri
- Division of Epidemiology and Biostatistics, Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA.
| | - J Sonya Haw
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA, USA
| | - Genet A Amere
- Division of Epidemiology and Biostatistics, Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA
| | - Joyce T Alese
- Division of Epidemiology and Biostatistics, Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA
| | - Guillermo E Umpierrez
- Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Atlanta, GA, USA
| | - Matthew J Magee
- Division of Epidemiology and Biostatistics, Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, 30303, USA.,Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Antonio-Arques V, Franch-Nadal J, Caylà JA. Diabetes and tuberculosis: a syndemic complicated by COVID-19. Med Clin (Barc) 2021; 157:288-293. [PMID: 34049681 PMCID: PMC8101986 DOI: 10.1016/j.medcli.2021.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/12/2021] [Accepted: 04/13/2021] [Indexed: 01/16/2023]
Abstract
Tuberculosis (TB) is the leading cause of infectious mortality in the world, affecting mainly developing countries (DC), while diabetes (DM) is one of the most prevalent chronic diseases. This review analyzes the fact that diabetes is currently an important risk factor for developing TB, also presenting more complicated TB, more relapses and higher mortality. The DCs and the fourth world of the large cities are those with the highest incidence of TB and an increase in DM, which will make it difficult to control tuberculosis disease. At the same time, the COVID-19 pandemic is complicating the management of both diseases due to the difficulty of access to control and treatment and the worsening of socioeconomic inequalities. It is necessary to establish a bidirectional screening for TB and DM and promote recommendations for the joint management of both diseases.
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Affiliation(s)
- Violeta Antonio-Arques
- Institut Universitari per a la Recerca en Atenció Primària (IDIAP) Jordi Gol, Barcelona, España; Equip d'Atenció Primària (EAP) Bordeta Magòria, Institut Català de la Salut, Barcelona, España
| | - Josep Franch-Nadal
- Institut Universitari per a la Recerca en Atenció Primària (IDIAP) Jordi Gol, Barcelona, España; Equip d'Atenció Primària (EAP) Raval Sud - Drassanes, Institut Català de la Salut, Barcelona, España.
| | - Joan A Caylà
- Fundación de la Unidad de Investigación en Tuberculosis de Barcelona, Barcelona, España
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Foster M, Hill PC, Setiabudiawan TP, Koeken VACM, Alisjahbana B, van Crevel R. BCG-induced protection against Mycobacterium tuberculosis infection: Evidence, mechanisms, and implications for next-generation vaccines. Immunol Rev 2021; 301:122-144. [PMID: 33709421 PMCID: PMC8252066 DOI: 10.1111/imr.12965] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 02/12/2021] [Accepted: 02/13/2021] [Indexed: 12/20/2022]
Abstract
The tuberculosis (TB) vaccine Bacillus Calmette-Guérin (BCG) was introduced 100 years ago, but as it provides insufficient protection against TB disease, especially in adults, new vaccines are being developed and evaluated. The discovery that BCG protects humans from becoming infected with Mycobacterium tuberculosis (Mtb) and not just from progressing to TB disease provides justification for considering Mtb infection as an endpoint in vaccine trials. Such trials would require fewer participants than those with disease as an endpoint. In this review, we first define Mtb infection and disease phenotypes that can be used for mechanistic studies and/or endpoints for vaccine trials. Secondly, we review the evidence for BCG-induced protection against Mtb infection from observational and BCG re-vaccination studies, and discuss limitations and variation of this protection. Thirdly, we review possible underlying mechanisms for BCG efficacy against Mtb infection, including alternative T cell responses, antibody-mediated protection, and innate immune mechanisms, with a specific focus on BCG-induced trained immunity, which involves epigenetic and metabolic reprogramming of innate immune cells. Finally, we discuss the implications for further studies of BCG efficacy against Mtb infection, including for mechanistic research, and their relevance to the design and evaluation of new TB vaccines.
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Affiliation(s)
- Mitchell Foster
- Department of Microbiology and ImmunologyUniversity of OtagoDunedinNew Zealand
| | - Philip C. Hill
- Centre for International HealthUniversity of OtagoDunedinNew Zealand
| | - Todia Pediatama Setiabudiawan
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI)Radboud University Medical CenterNijmegenThe Netherlands
| | - Valerie A. C. M. Koeken
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI)Radboud University Medical CenterNijmegenThe Netherlands
- Department of Computational Biology for Individualised Infection MedicineCentre for Individualised Infection Medicine (CiiM) & TWINCOREJoint Ventures between The Helmholtz‐Centre for Infection Research (HZI) and The Hannover Medical School (MHH)HannoverGermany
| | - Bachti Alisjahbana
- Tuberculosis Working GroupFaculty of MedicineUniversitas PadjadjaranBandungIndonesia
| | - Reinout van Crevel
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI)Radboud University Medical CenterNijmegenThe Netherlands
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31
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Ragouraman D, Priyadharsini RP, Venkatesh C. Prevalence of tuberculosis and diabetes comorbidity in patients attending secondary healthcare hospital in south India: A retrospective study. J Family Med Prim Care 2021; 10:1241-1245. [PMID: 34041158 PMCID: PMC8140231 DOI: 10.4103/jfmpc.jfmpc_1984_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 12/02/2020] [Accepted: 12/21/2020] [Indexed: 11/10/2022] Open
Abstract
Background and Objectives: Tuberculosis, a communicable disease and diabetes, a non-communicable disease together has a bidirectional relationship toward each other withsignificant morbidity and delayed treatment outcome. Therefore, there is a need to identify the prevalence of both these diseases in a community. A retrospective study was planned to identify the prevalence of both diseases among the patients attending secondary hospitals for 3 years. Methods: The study was conducted in the chest diseases department in a secondary care hospital after obtaining approval from the institute ethics committee and RNTCP. The retrospective data in the hospital register was used to identify various parameters. The data for basic demographic characteristics, number of new cases, previously treated cases, pulmonary/extrapulmonary cases, drug resistance cases, and DM/TB cases were entered in Microsoft excel and were analyzed. Results: The prevalence of TB among the patients attending the chest diseases department was 2.9%, 2.5%, and 3% for the years 2016, 2017, and 2018, respectively. The prevalence of DM/TB ranged between 8.5–11%, which is a lesser range when compared with many other studies. Interpretations and Conclusion: There was no significant difference in the prevalence between the years. The screening of one disease in the presence of the other can reduce the prevalence and improve the prognosis.
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Affiliation(s)
| | | | - C Venkatesh
- District TB Officer, Government Chest Clinic, Karaikal, Puducherry, India
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32
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Gutierrez J, Kroon EE, Möller M, Stein CM. Phenotype Definition for "Resisters" to Mycobacterium tuberculosis Infection in the Literature-A Review and Recommendations. Front Immunol 2021; 12:619988. [PMID: 33717116 PMCID: PMC7946835 DOI: 10.3389/fimmu.2021.619988] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 01/14/2021] [Indexed: 12/03/2022] Open
Abstract
Tuberculosis (TB) remains a worldwide problem. Despite the high disease rate, not all who are infected with Mycobacterium Tuberculosis (Mtb) develop disease. Interferon-γ (IFN-γ) specific T cell immune assays such as Quantiferon and Elispot, as well as a skin hypersensitivity test, known as a tuberculin skin test, are widely used to infer infection. These assays measure immune conversion in response to Mtb. Some individuals measure persistently negative to immune conversion, despite high and prolonged exposure to Mtb. Increasing interest into this phenotype has led to multiple publications describing various aspects of these responses. However, there is a lack of a unified "resister" definition. A universal definition will improve cross study data comparisons and assist with future study design and planning. We review the current literature describing this phenotype and make recommendations for future studies.
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Affiliation(s)
- Jesús Gutierrez
- Department of Population and Quantitative Health Science, Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Elouise E. Kroon
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Marlo Möller
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Catherine M. Stein
- Department of Population and Quantitative Health Science, Case Western Reserve University School of Medicine, Cleveland, OH, United States
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33
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van Crevel R, Critchley JA. The Interaction of Diabetes and Tuberculosis: Translating Research to Policy and Practice. Trop Med Infect Dis 2021; 6:tropicalmed6010008. [PMID: 33435609 PMCID: PMC7838867 DOI: 10.3390/tropicalmed6010008] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 12/23/2020] [Accepted: 12/31/2020] [Indexed: 12/17/2022] Open
Abstract
Diabetes Mellitus increases the risk of developing Tuberculosis (TB) disease by about three times; it also doubles the risk of death during TB treatment and other poor TB treatment outcomes. Diabetes may increase the risk of latent infection with Mycobacterium tuberculosis (LTBI), but the magnitude of this effect is less clear. Whilst this syndemic has received considerable attention, most of the published research has focussed on screening for undiagnosed diabetes in TB patients or observational follow-up of TB treatment outcomes by diabetes status. There are thus substantial research and policy gaps, particularly with regard to prevention of TB disease in people with diabetes and management of patients with TB-diabetes, both during TB treatment and after successful completion of TB treatment, when they likely remain at high risk of TB recurrence, mortality from TB and cardiovascular disease. Potential strategies to prevent development of TB disease might include targeted vaccination programmes, screening for LTBI and preventive therapy among diabetes patients or, perhaps ideally, improved diabetes management and prevention. The cost-effectiveness of each of these, and in particular how each strategy might compare with targeted TB prevention among other population groups at higher risk of developing TB disease, is also unknown. Despite research gaps, clinicians urgently need practical management advice and more research evidence on the choice and dose of different anti-diabetes medication and effective medical therapies to reduce cardiovascular risks (statins, anti-hypertensives and aspirin). Substantial health system strengthening and integration may be needed to prevent these at risk patients being lost to care at the end of TB treatment.
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Affiliation(s)
- Reinout van Crevel
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6500HB Nijmegen, The Netherlands
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK
- Correspondence:
| | - Julia A. Critchley
- Population Health Research Institute, St George’s, University of London, London SW17 ORE, UK;
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34
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Ping PA, Zakaria R, Islam MA, Yaacob LH, Muhamad R, Wan Mohamad WMZ, Yusoff HM. Prevalence and Risk Factors of Latent Tuberculosis Infection (LTBI) in Patients with Type 2 Diabetes Mellitus (T2DM). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18010305. [PMID: 33406582 PMCID: PMC7794868 DOI: 10.3390/ijerph18010305] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 12/24/2020] [Accepted: 12/28/2020] [Indexed: 01/14/2023]
Abstract
Type 2 diabetes mellitus (T2DM) and tuberculosis (TB) together impose a high disease burden in terms of both mortality and health economics worldwide. The objective of this study was to estimate the prevalence and risk factors of latent TB infection (LTBI) in patients with T2DM in Malaysia. A cross-sectional study was performed, and adult T2DM patients (n = 299) were included. Simple and multiple logistic regression analyses were performed to identify the LTBI-associated risk factors in patients with T2DM. Multiple logistic regression was used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CIs) between T2DM and LTBI and was adjusted for potential confounders. The prevalence of LTBI in patients with T2DM was 11.4% (95% CI: 8.0-15.0%). There was no significant difference in the socio-demographic characteristics between LTBI and non-LTBI subjects. No significant difference in the smoking status, the duration of smoking, and the duration of T2DM, HbA1c, or treatments was observed. Interestingly, a higher level of education was observed to be associated with a lower prevalence of LTBI in T2DM patients (aOR: 0.08, 95% CI: 0.01-0.70, p = 0.02). Although the prevalence of LTBI in T2DM was low, it is important to screen for it in T2DM patients due to the risk of developing severe active TB.
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Affiliation(s)
- Phan Ai Ping
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (P.A.P.); (L.H.Y.); (R.M.)
| | - Rosnani Zakaria
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (P.A.P.); (L.H.Y.); (R.M.)
- Correspondence: (R.Z.); or (M.A.I.)
| | - Md Asiful Islam
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
- Correspondence: (R.Z.); or (M.A.I.)
| | - Lili Husniati Yaacob
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (P.A.P.); (L.H.Y.); (R.M.)
| | - Rosediani Muhamad
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (P.A.P.); (L.H.Y.); (R.M.)
| | | | - Harmy Mohamed Yusoff
- Faculty of Medicine, Universiti Sultan Zainal Abidin, Kuala Terengganu 21300, Terengganu, Malaysia;
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35
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Qiu X, Wang H, Tang Y, Su X, Ge L, Qu Y, Mu D. Is interleukin-2 an optimal marker for diagnosing tuberculosis infection? A systematic review and meta-analysis. Ann Med 2020; 52:376-385. [PMID: 32700645 PMCID: PMC7877967 DOI: 10.1080/07853890.2020.1800073] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Latent tuberculosis infection (LTBI) is a huge reservoir for the deadlier TB disease. Accurate identification of LTBI is a key strategy to eliminate TB. Therefore, a systematic review and meta-analysis approach was used to assess diagnostic potential of IL-2 for LTBI. METHODS PubMed, Web of Science, the Cochrane Library and Embase were searched. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under the summary receiver operating characteristic curve (AUROC) and hierarchical summary receiver operating characteristic curve (HSROC) were estimated by bivariate and HSROC models. RESULTS Twenty-seven studies including 1404 participants and 1986 samples met the inclusion criteria. The pooled sensitivity, specificity, PLR, NLR, DOR and AUROC of IL-2 were separately as 87%, 98%, 34.78, 0.14, 256.41 and 0.98, indicating a very powerful differentiating ability of IL-2 for LTBI from non-TB controls. For differentiating ATB from LTBI, the pooled sensitivity, specificity, PLR, NLR, DOR and AUROC of IL-2 were 83%, 76%, 3.41, 0.22, 15.47 and 0.87, respectively, suggesting a good differentiating ability of IL-2. CONCLUSIONS These findings showed that IL-2 is a powerful marker for differentiating LTBI from non-TB controls and a good marker for differentiating ATB from LTBI individuals.
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Affiliation(s)
- Xia Qiu
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Huiqing Wang
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Ying Tang
- Department of Ultrasonic, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xiaojuan Su
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Long Ge
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Yi Qu
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Dezhi Mu
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
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36
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Pan SW, Feng JY, Yen YF, Chuang FY, Shen HS, Su VYF, Chuang PH, Chan YJ, Su WJ. Metformin use and post-exposure incident tuberculosis: a nationwide tuberculosis-contact cohort study in Taiwan. ERJ Open Res 2020; 6:00050-2020. [PMID: 32743005 PMCID: PMC7383051 DOI: 10.1183/23120541.00050-2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 04/28/2020] [Indexed: 11/12/2022] Open
Abstract
Patients with diabetes mellitus are susceptible to active tuberculosis (TB) and latent TB infection (LTBI) [1–3]. Close contact with patients with infectious TB is associated with an increased risk of having coprevalent TB or developing incident TB [4, 5]. However, information on the burden of incident TB in contacts with underlying diabetes is limited. Considering post-exposure TB in patients with diabetes, metformin has demonstrated anti-TB effects in preclinical studies and association with a low LTBI prevalence in a cross-sectional survey [6, 7]. Despite metformin's wide use and correlation with a lower TB risk in patients with type 2 diabetes (T2D) [8], the impact of metformin use during TB exposure on subsequent TB risk has not been thoroughly investigated. We aimed to obtain the rate of post-exposure incident TB, but not coprevalent TB, in T2D patients and evaluate whether TB risk can be modified by metformin use during the TB-exposure period. This TB contact cohort study showed that the risk of incident TB, not coprevalent TB, was highest in the diabetes group without metformin use during TB exposure, followed by the nondiabetes population, and was lowest in the diabetes group with metformin usehttps://bit.ly/3fpJyF0
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Affiliation(s)
- Sheng-Wei Pan
- Dept of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
| | - Jia-Yih Feng
- Dept of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yung-Feng Yen
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Public Health, National Yang-Ming University, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan.,Section of Infectious Diseases, Taipei City Hospital, Taipei, Taiwan
| | - Fan-Yi Chuang
- Dept of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Hsiang-Shi Shen
- Dept of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Vincent Yi-Fong Su
- Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Dept of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.,Dept of Internal Medicine, Taipei City Hospital, Taipei, Taiwan
| | - Pei-Hung Chuang
- Taipei Association of Health and Welfare Data Science, Taiwan
| | - Yu-Jiun Chan
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan.,Division of Infectious Diseases, Dept of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of Microbiology, Dept of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Wei-Juin Su
- Dept of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
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Haddad MB, Lash TL, Castro KG, Hill AN, Navin TR, Gandhi NR, Magee MJ. Tuberculosis Infection Among People With Diabetes: United States Population Differences by Race/Ethnicity. Am J Prev Med 2020; 58:858-863. [PMID: 32061457 PMCID: PMC7246160 DOI: 10.1016/j.amepre.2019.12.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 12/14/2019] [Accepted: 12/15/2019] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Diabetes might confer a modestly increased risk of latent tuberculosis infection, which without treatment can progress to active tuberculosis disease. Three recent analyses of the National Health and Nutrition Examination Survey found a positive association between diabetes and a positive test for Mycobacterium tuberculosis infection. This study examines whether prevalence of a positive test still varies by diabetes status after stratifying by race/ethnicity. METHODS This cross-sectional analysis used the public-use National Health and Nutrition Examination Survey 2011-2012 data sets and was conducted in 2018-2019. Interview and examination results for 5,560 adult participants yielded estimates for 219 million U.S. adults in the 4 largest race/ethnicity groups. The weighted prevalence of positive tuberculin skin test or interferon-gamma release assay by diabetes status was ascertained in each group. RESULTS Among white and black adults, diabetes was associated with no difference in positive skin test prevalence and little difference in positive interferon-gamma release assay prevalence. The positive assay prevalence difference was +14.5% (95% CI=2.3%, 26.7%) among Hispanic and +9.9% (95% CI=1.2%, 18.6%) among Asian adults, when comparing those with diabetes with those with neither diabetes nor prediabetes. Based on assay results, 23.6% (95% CI=14.0%, 36.9%) of Hispanic and 27.2% (95% CI=19.6%, 36.5%) of Asian adults with diabetes also had latent tuberculosis infection. CONCLUSIONS Hispanic and Asian subpopulation results drove much of the previously reported positive association between diabetes and a positive test for M. tuberculosis infection. Hispanic and Asian adults with diabetes might particularly benefit from screening and treatment for latent tuberculosis infection.
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Affiliation(s)
- Maryam B Haddad
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia; Rollins School of Public Health, Emory University, Atlanta, Georgia; Laney Graduate School, Emory University, Atlanta, Georgia.
| | - Timothy L Lash
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Kenneth G Castro
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia; Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Andrew N Hill
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia; Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Thomas R Navin
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Neel R Gandhi
- Rollins School of Public Health, Emory University, Atlanta, Georgia; School of Medicine, Emory University, Atlanta, Georgia
| | - Matthew J Magee
- Rollins School of Public Health, Emory University, Atlanta, Georgia; School of Public Health, Georgia State University, Atlanta, Georgia
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Frauenfeld L, Nann D, Sulyok Z, Feng YS, Sulyok M. Forecasting tuberculosis using diabetes-related google trends data. Pathog Glob Health 2020; 114:236-241. [PMID: 32453658 DOI: 10.1080/20477724.2020.1767854] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Online activity-based data can be used to aid infectious disease forecasting. Our aim was to exploit the converging nature of the tuberculosis (TB) and diabetes epidemics to forecast TB case numbers. Thus, we extended TB prediction models based on traditional data with diabetes-related Google searches. We obtained data on the weekly case numbers of TB in Germany from June 8th, 2014, to May 5th, 2019. Internet search data were obtained from a Google Trends (GTD) search for 'diabetes' to the corresponding interval. A seasonal autoregressive moving average (SARIMA) model (0,1,1) (1,0,0) [52] was selected to describe the weekly TB case numbers with and without GTD as an external regressor. We cross-validated the SARIMA models to obtain the root mean squared errors (RMSE). We repeated this procedure with autoregressive feed-forward neural network (NNAR) models using 5-fold cross-validation. To simulate a data-poor surveillance setting, we also tested traditional and GTD-extended models against a hold-out dataset using a decreased 52-week-long period with missing values for training. Cross-validation resulted in an RMSE of 20.83 for the traditional model and 18.56 for the GTD-extended model. Cross-validation of the NNAR models showed a mean RMSE of 19.49 for the traditional model and 18.99 for the GTD-extended model. When we tested the models trained on a decreased dataset with missing values, the GTD-extended models achieved significantly better prediction than the traditional models (p < 0.001). The GTD-extended models outperformed the traditional models in all assessed model evaluation parameters. Using online activity-based data regarding diabetes can improve TB forecasting, but further validation is warranted.
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Affiliation(s)
- Leonie Frauenfeld
- Institute for Pathology and Neuropathology, Eberhard Karls University, University Hospital of Tübingen , Tübingen 72076, Germany
| | - Dominik Nann
- Institute for Pathology and Neuropathology, Eberhard Karls University, University Hospital of Tübingen , Tübingen 72076, Germany
| | - Zita Sulyok
- Institute of Tropical Medicine, Eberhard Karls University, University Hospital of Tübingen , Tübingen 72074, Germany
| | - You-Shan Feng
- Department of Clinical Epidemiology and Applied Biometry, University Hospital of Tübingen , Tübingen 72076, Germany
| | - Mihály Sulyok
- Institute for Pathology and Neuropathology, Eberhard Karls University, University Hospital of Tübingen , Tübingen 72076, Germany
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Abstract
Treatment of latent tuberculosis infection (LTBI) is an important component of TB control and elimination. LTBI treatment regimens include once-weekly isoniazid plus rifapentine for 3 months, daily rifampin for 4 months, daily isoniazid plus rifampin for 3-4 months, and daily isoniazid for 6-9 months. Isoniazid monotherapy is efficacious in preventing TB disease, but the rifampin- and rifapentine-containing regimens are shorter and have similar efficacy, adequate safety, and higher treatment completion rates. Novel vaccine strategies, host immunity-directed therapies and ultrashort antimicrobial regimens for TB prevention, such as daily isoniazid plus rifapentine for 1 month, are under evaluation.
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Affiliation(s)
- Moises A Huaman
- Department of Internal Medicine, Division of Infectious Diseases, University of Cincinnati College of Medicine, University of Cincinnati, 200 Albert Sabin Way, Room 3112, Cincinnati, OH 45267, USA; Hamilton County Public Health Tuberculosis Control Program, 184 McMillan Street, Cincinnati, OH 45219, USA; Vanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, 1161 21st Avenue South, A-2200 Medical Center North, Nashville, TN 37232, USA.
| | - Timothy R Sterling
- Vanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, 1161 21st Avenue South, A-2200 Medical Center North, Nashville, TN 37232, USA; Department of Medicine, Division of Infectious Diseases, Vanderbilt University School of Medicine, Vanderbilt University, 1161 21st Avenue South, A-2209 MCN, Nashville, TN 37232, USA
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Adults with Mycobacterium tuberculosis infection and pre-diabetes have increased levels of QuantiFERON interferon-gamma responses. Tuberculosis (Edinb) 2020; 122:101935. [PMID: 32501260 DOI: 10.1016/j.tube.2020.101935] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 01/31/2020] [Accepted: 03/29/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Diabetes is associated with increased prevalence of TB infection in the US. We assessed associations between diabetes and interferon-gamma (IFN-γ) TB antigen response among adults with TB infection using US representative data. METHODS National Health and Nutrition Examination (NHANES) participants >19 years from 2011 to 2012 with positive QuantiFERON®-TB Gold-In-Tube (QFT) results were eligible. Diabetes was defined by combination of self-report and glycated hemoglobin (HbA1c). Quantitative IFN-γ TB antigen was classified as high (≥10 IU/mL), intermediate (1.01-9.99 IU/mL), or low (0.35-1.00 IU/mL). Analyses accounted for NHANES weighted design. RESULTS Among NHANES participants >19 years, n = 513 had positive QFT (5.9%). Among those with positive QFT, diabetes prevalence was 22.2% and pre-diabetes was 25.9%. Overall, 16.7% of positive QFT participants had high IFN-γ TB antigen levels including 21.7% among those with diabetes, 20.8% among those with pre-diabetes, and 12.6% among euglycemic participants. In adjusted analyses, high IFN-γ TB antigen response was more common among those with pre-diabetes (aOR 1.9, 95%CI 1.0, 3.6) compared to euglycemic participants. CONCLUSION Higher antigen responses may reflect immunopathy consistent with an exaggerated inflammatory but ineffectual response to TB or a reflection of more Mtb replication in participants with pre-diabetes or diabetes.
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Chaw L, Chien LC, Wong J, Takahashi K, Koh D, Lin RT. Global trends and gaps in research related to latent tuberculosis infection. BMC Public Health 2020; 20:352. [PMID: 32183753 PMCID: PMC7079542 DOI: 10.1186/s12889-020-8419-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 02/27/2020] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND There is a global commitment to eliminating tuberculosis (TB). It is critical to detect and treat cases of latent TB infection (LTBI), the reservoir of new TB cases. Our study assesses trends in publication of LTBI-related research. METHODS We used the keywords ("latent tuberculosis" OR "LTBI" OR "latent TB") to search the Web of Science for LTBI-related articles published 1995-2018, then classified the results into three research areas: laboratory sciences, clinical research, and public health. We calculated the proportions of LTBI-related articles in each area to three areas combined, the average rates of LTBI-related to all scientific and TB-related articles, and the average annual percent changes (AAPC) in rates for all countries and for the top 13 countries individually and combined publishing LTBI research. RESULTS The proportion of LTBI-related articles increased over time in all research areas, with the highest AAPC in laboratory (38.2%/yr), followed by public health (22.9%/yr) and clinical (15.1%/yr). South Africa (rate ratio [RR] = 8.28, 95% CI 5.68 to 12.08) and India (RR = 2.53, 95% CI 1.74 to 3.69) had higher RRs of overall TB-related articles to all articles, but did not outperform the average of the top 13 countries in the RRs of LTBI-related articles to TB-related articles. Italy (RR = 1.95, 95% CI 1.45 to 2.63), Canada (RR = 1.73, 95% CI 1.28 to 2.34), and Spain (RR = 1.53, 95% CI 1.13 to 2.07) had higher RRs of LTBI-related articles to TB-related articles. CONCLUSIONS High TB burden countries (TB incidence > 100 per 100,000 population) published more overall TB-related research, whereas low TB burden countries showed greater focus on LTBI. Given the potential benefits, high TB burden countries should consider increasing their emphasis on LTBI-related research.
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Affiliation(s)
- Liling Chaw
- PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link BE1410, Gadong, Bandar Seri Begawan, Brunei Darussalam
| | - Lung-Chang Chien
- Epidemiology and Biostatistics, Department of Environmental and Occupational Health, School of Public Health, University of Nevada, Las Vegas, Las Vegas, NV 89119 USA
| | - Justin Wong
- Disease Control Division, Ministry of Health, Brunei Darussalam; Commonwealth Drive, BB3910, Bandar Seri Begawan, Brunei Darussalam
| | - Ken Takahashi
- Asbestos Diseases Research Institute, Concord, NSW 2139 Australia
| | - David Koh
- PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link BE1410, Gadong, Bandar Seri Begawan, Brunei Darussalam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549 Republic of Singapore
| | - Ro-Ting Lin
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Room 1610, No. 91, Hsueh-Shih Road, Taichung, 40402 Taiwan
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Sentís A, Vasconcelos P, Machado RS, Caylà JA, Guxens M, Peixoto V, Duarte R, Carvalho I, Carvalho C. Failure to complete treatment for latent tuberculosis infection in Portugal, 2013-2017: geographic-, sociodemographic-, and medical-associated factors. Eur J Clin Microbiol Infect Dis 2019; 39:647-656. [PMID: 31797155 DOI: 10.1007/s10096-019-03765-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 11/07/2019] [Indexed: 10/25/2022]
Abstract
There is conflicting evidence about factors associated with failure to complete treatment (FCT) for latent tuberculosis infection (LTBI). We aim to identify the geographic, sociodemographic, and medical factors associated with FCT in Portugal, highlighting the two main metropolitan areas of Porto and Lisbon. We performed a retrospective cohort study including LTBI patients that started treatment in Portugal between 2013 and 2017. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) using multivariable logistic regression to identify geographic, sociodemographic, and medical factors associated with FCT. Data on completion of treatment were available for 15,478 of 17,144 patients (90.3%). Of those, 2132 (13.8%) failed to complete treatment. Factors associated with FCT were being older than 15 years (aOR, 1.65 (95% CI = 1.34-2.05) for those aged 16 to 29), being born abroad (aOR, 2.04 (95% CI = 1.19-3.50) for Asia; aOR, 1.57 (95% CI = 1.24-1.98) for Africa), having a chronic disease (aOR, 1.29 (95% CI = 1.04-1.60)), alcohol abuse (aOR, 2.24 (95% CI = 1.73-2.90)), and being intravenous drug user (aOR, 1.68 (95% CI = 1.05-2.68)). Three-month course treatment with isoniazid plus rifampicin was associated with decreased FCT when compared with 6- or 9-month courses of isoniazid-only (aOR, 0.59 (95% CI = 0.45-0.77)). In Lisbon metropolitan area, being born in Africa, and in Porto metropolitan area, alcohol abusing and being intravenous drug user were distinctive factors associated with FCT. Sociodemographic and medical factors associated with FCT may vary by geographical area and should be taken into account when planning interventions to improve LTBI treatment outcomes. This study reinforces that shorter course treatment for LTBI might reduce FCT.
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Affiliation(s)
- Alexis Sentís
- Directorate-General of Health, Lisbon, Portugal.,European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden.,ISGlobal, Barcelona, Spain.,Pompeu Fabra University (UPF), Barcelona, Spain.,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Paula Vasconcelos
- Directorate-General of Health, Lisbon, Portugal.,European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden
| | - Rita Sá Machado
- Directorate-General of Health, Lisbon, Portugal.,European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden
| | - Joan A Caylà
- Foundation of Tuberculosis Research Unit of Barcelona, Barcelona, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain.,Pompeu Fabra University (UPF), Barcelona, Spain.,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Vasco Peixoto
- Directorate-General of Health, Lisbon, Portugal.,European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden
| | - Raquel Duarte
- Directorate-General of Health, Lisbon, Portugal.,Public Health Science and Medical Education Department, Faculty of Medicine, University of Porto, Porto, Portugal.,EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal.,Pulmonology Department, Hospital Centre of Vila Nova de Gaia/Espinho EPE, Vila Nova de Gaia, Portugal
| | | | - Carlos Carvalho
- Directorate-General of Health, Lisbon, Portugal. .,Department of Public Health, Northern Regional Health Administration, Porto, Portugal. .,Multidisciplinary Unit for Biomedical Research (UMIB), Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.
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Tripathi D, Radhakrishnan RK, Sivangala Thandi R, Paidipally P, Devalraju KP, Neela VSK, McAllister MK, Samten B, Valluri VL, Vankayalapati R. IL-22 produced by type 3 innate lymphoid cells (ILC3s) reduces the mortality of type 2 diabetes mellitus (T2DM) mice infected with Mycobacterium tuberculosis. PLoS Pathog 2019; 15:e1008140. [PMID: 31809521 PMCID: PMC6919622 DOI: 10.1371/journal.ppat.1008140] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 12/18/2019] [Accepted: 10/09/2019] [Indexed: 12/14/2022] Open
Abstract
Previously, we found that pathological immune responses enhance the mortality rate of Mycobacterium tuberculosis (Mtb)-infected mice with type 2 diabetes mellitus (T2DM). In the current study, we evaluated the role of the cytokine IL-22 (known to play a protective role in bacterial infections) and type 3 innate lymphoid cells (ILC3s) in regulating inflammation and mortality in Mtb-infected T2DM mice. IL-22 levels were significantly lower in Mtb-infected T2DM mice than in nondiabetic Mtb-infected mice. Similarly, serum IL-22 levels were significantly lower in tuberculosis (TB) patients with T2DM than in TB patients without T2DM. ILC3s were an important source of IL-22 in mice infected with Mtb, and recombinant IL-22 treatment or adoptive transfer of ILC3s prolonged the survival of Mtb-infected T2DM mice. Recombinant IL-22 treatment reduced serum insulin levels and improved lipid metabolism. Recombinant IL-22 treatment or ILC3 transfer prevented neutrophil accumulation near alveoli, inhibited neutrophil elastase 2 (ELA2) production and prevented epithelial cell damage, identifying a novel mechanism for IL-22 and ILC3-mediated inhibition of inflammation in T2DM mice infected with an intracellular pathogen. Our findings suggest that the IL-22 pathway may be a novel target for therapeutic intervention in T2DM patients with active TB disease.
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Affiliation(s)
- Deepak Tripathi
- Department of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America
| | - Rajesh Kumar Radhakrishnan
- Department of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America
| | - Ramya Sivangala Thandi
- Department of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America
| | - Padmaja Paidipally
- Department of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America
| | - Kamakshi Prudhula Devalraju
- Immunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, Telangana, India
| | - Venkata Sanjeev Kumar Neela
- Immunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, Telangana, India
| | - Madeline Kay McAllister
- Department of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America
| | - Buka Samten
- Department of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America
| | - Vijaya Lakshmi Valluri
- Immunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, Telangana, India
| | - Ramakrishna Vankayalapati
- Department of Pulmonary Immunology, Center for Biomedical Research, The University of Texas Health Science Center, Tyler, Texas, TX, United States of America
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Differed IL-1 Beta Response between Active TB and LTBI Cases by Ex Vivo Stimulation of Human Monocyte-Derived Macrophage with TB-Specific Antigen. DISEASE MARKERS 2019; 2019:7869576. [PMID: 31781307 PMCID: PMC6875314 DOI: 10.1155/2019/7869576] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 08/22/2019] [Accepted: 09/07/2019] [Indexed: 01/09/2023]
Abstract
Background The difference of macrophage-specific interleukin-1 beta (IL-1b) response between latent tuberculosis infection (LTBI) and active tuberculosis (TB) remains less studied. Method We performed this prospective study and recruited active TB patients, contacts with LTBI, and uninfected contacts. The gene and protein expression of human monocyte-derived macrophage (hMDM) after ex vivo stimulation by early secretory antigenic target-6KD (ESAT-6) and tuberculin purified protein derivatives (PPD) was studied by real-time PCR and flow cytometry. The effect of caspase-1 inhibitor was also studied. Result The IL-1b gene expression after 6 hr ESAT-6 1 μg/ml stimulation was different among active TB patients (n = 12), LTBI cases (n = 12), and uninfected contacts (n = 23) (log fold change: 0.98 ± 1.26 vs. 2.20 ± 0.96 vs. 2.20 ± 0.96, P = 0.013). The IL-1b gene expression at 24 hours was higher than that at 6 hours in LTBI cases (n = 4) and uninfected contacts (n = 6). After 24 hr ESAT-6 1 μg/ml stimulation, the percentage of IL-1b-expressed hMDM was borderline lower in the active TB patients (n = 9) than in the LTBI cases (n = 10) (14.0 ± 11.2% vs. 31.6 ± 22.5%, P = 0.065). Compared with ESAT-6 1 μg/ml stimulation but without the addition of caspase-1 inhibitor (CasI) (55.6 ± 16.3%), the percentage of IL-1b-positive hMDMs decreased after addition of CasI (50 μg/ml CasI: 49.8 ± 18.2%, P = 0.078; 100 μg/ml CasI: 46.6 ± 20.8%, P = 0.030; 150 μg/ml CasI: 33.7 ± 15.5%, P = 0.016). Conclusions This study revealed that macrophage-specific IL-1b response differed among different stages of Mycobacterium tuberculosis infection. The role of IL-1b and inflammasome in the process of LTBI progressing to active TB warrants further investigation.
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Al-Rifai RH, Majeed M, Qambar MA, Ibrahim A, AlYammahi KM, Aziz F. Type 2 diabetes and pre-diabetes mellitus: a systematic review and meta-analysis of prevalence studies in women of childbearing age in the Middle East and North Africa, 2000-2018. Syst Rev 2019; 8:268. [PMID: 31703716 PMCID: PMC6839168 DOI: 10.1186/s13643-019-1187-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Accepted: 10/07/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Investing in women's health is an inevitable investment in our future. We systematically reviewed the available evidence and summarized the weighted prevalence of type 2 diabetes (T2DM) and pre-diabetes mellitus (pre-DM) in women of childbearing age (15-49 years) in the Middle East and North African (MENA) region. METHODS We comprehensively searched six electronic databases to retrieve published literature and prevalence studies on T2DM and pre-DM in women of childbearing age in the MENA. Retrieved citations were screened and data were extracted by at least two independent reviewers. Weighted T2DM and pre-DM prevalence was estimated using the random-effects model. RESULTS Of the 10,010 screened citations, 48 research reports were eligible. Respectively, 46 and 24 research reports on T2DM and pre-DM prevalence estimates, from 14 and 10 countries, were included. Overall, the weighted T2DM and pre-DM prevalence in 14 and 10 MENA countries, respectively, were 7.5% (95% confidence interval [CI], 6.1-9.0) and 7.6% (95% CI, 5.2-10.4). In women sampled from general populations, T2DM prevalence ranged from 0.0 to 35.2% (pooled, 7.7%; 95% CI, 6.1-9.4%) and pre-DM prevalence ranged from 0.0 to 40.0% (pooled, 7.9%; 95% CI, 5.3-11.0%). T2DM was more common in the Fertile Crescent countries (10.7%, 95% CI, 5.2-17.7%), followed by the Arab Peninsula countries (7.6%, 95% CI, 5.9-9.5%) and North African countries and Iran (6.5%, 95% CI, 4.3-9.1%). Pre-DM prevalence was highest in the Fertile Crescent countries (22.7%, 95% CI, 14.2-32.4%), followed by the Arab Peninsula countries (8.6%, 95% CI, 5.5-12.1%) and North Africa and Iran (3.3%, 95% CI, 1.0-6.7%). CONCLUSIONS T2DM and pre-DM are common in women of childbearing age in MENA countries. The high DM burden in this vital population group could lead to adverse pregnancy outcomes and acceleration of the intergenerational risk of DM. Our review presented data and highlighted gaps in the evidence of the DM burden in women of childbearing age, to inform policy-makers and researchers. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42017069231.
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Affiliation(s)
- Rami H Al-Rifai
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates.
| | - Maria Majeed
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
| | - Maryam A Qambar
- Department of Biology, College of Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
| | - Ayesha Ibrahim
- Department of Biology, College of Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
| | - Khawla M AlYammahi
- Department of Biology, College of Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
| | - Faisal Aziz
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
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Lin CH, Kuo SC, Hsieh MC, Ho SY, Su IJ, Lin SH, Chi CY, Su SL, Liao CY, Chen YC, Hsu SR, Huang YC, Tseng FC, Wang SY, Dou HY, Lin SD, Lin JS, Tu ST, Yeh YP. Effect of diabetes mellitus on risk of latent TB infection in a high TB incidence area: a community-based study in Taiwan. BMJ Open 2019; 9:e029948. [PMID: 31662365 PMCID: PMC6830704 DOI: 10.1136/bmjopen-2019-029948] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE To investigate the association between diabetes and latent tuberculosis infections (LTBI) in high TB incidence areas. DESIGN Community-based comparison study. SETTING Outpatient diabetes clinics at 4 hospitals and 13 health centres in urban and rural townships. A community-based screening programme was used to recruit non-diabetic participants. PARTICIPANTS A total of 2948 patients with diabetes aged older than 40 years were recruited, and 453 non-diabetic participants from the community were enrolled. PRIMARY AND SECONDARY OUTCOME MEASURES The interferon-gamma release assay (IGRA) and the tuberculin skin test were used to detect LTBI. The IGRA result was used as a surrogate of LTBI in logistic regression analysis. RESULTS Diabetes was significantly associated with LTBI (adjusted OR (aOR)=1.59; 95% CI 1.11 to 2.28) and age correlated positively with LTBI. Many subjects with diabetes also had additional risk factors (current smokers (aOR=1.28; 95% CI 0.95 to 1.71), comorbid chronic kidney disease (aOR=1.26; 95% CI 1.03 to 1.55) and history of TB (aOR=2.08; 95% CI 1.19 to 3.63)). The presence of BCG scar was protective (aOR=0.66; 95% CI 0.51 to 0.85). Duration of diabetes and poor glycaemic control were unrelated to the risk of LTBI. CONCLUSION There was a moderately increased risk of LTBI in patients with diabetes from this high TB incidence area. This finding suggests LTBI screening for the diabetics be combined with other risk factors and comorbidities of TB to better identify high-risk groups and improve the efficacy of targeted screening for LTBI.
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Affiliation(s)
| | - Shu-Chen Kuo
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan
| | - Ming-Chia Hsieh
- Graduate Institute of Integrative Medicine, China Medical University, Taichung, Taiwan
- Intelligent Diabetes Metabolism and Exercise Center, China Medical University Hospital, Taichung, Taiwan
- Division of Clinical Nutrition, China Medical University Hospital, Taichung, Taiwan
| | - Shang-Yun Ho
- Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan
| | - Ih-Jen Su
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan
| | - Sheng-Hao Lin
- Division of Chest Medicine, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
- Department of Recreation and Holistic Wellness, MingDao University, Changhua, Taiwan
| | - Chia-Yu Chi
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan
- Department of Pediatrics, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Shih-Li Su
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Chiung-Ying Liao
- Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan
| | - Yee-Chun Chen
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan
| | - Shang-Ren Hsu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Yuan-Chun Huang
- Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan
| | - Fan-Chen Tseng
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan
| | - Shu Yi Wang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Horng Yunn Dou
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan
| | - Shi-Dou Lin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Jen-Shiou Lin
- Department of Laboratory Medicine, Changhua Christian hospital, Changhua, Taiwan
| | - Shih-Te Tu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Yen-Po Yeh
- Innovation and Policy Center for Population Health and Sustainable Environment, National Taiwan University, Taipei, Taiwan
- Changhua Public Health Bureau, Changhua, Taiwan
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
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47
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Segura-Cerda CA, López-Romero W, Flores-Valdez MA. Changes in Host Response to Mycobacterium tuberculosis Infection Associated With Type 2 Diabetes: Beyond Hyperglycemia. Front Cell Infect Microbiol 2019; 9:342. [PMID: 31637222 PMCID: PMC6787561 DOI: 10.3389/fcimb.2019.00342] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 09/23/2019] [Indexed: 12/17/2022] Open
Abstract
Tuberculosis (TB) remains as the first cause of death among infectious diseases worldwide. Global incidence of tuberculosis is in part coincident with incidence of type 2 diabetes (T2D). Incidence of T2D is recognized as a high-risk factor that may contribute to tuberculosis dissemination. However, mechanisms which favor infection under T2D are just starting to emerge. Here, we first discuss the evidences that are available to support a metabolic connection between TB and T2D. Then, we analyze the evidences of metabolic changes which occur during T2D gathered thus far for its influence on susceptibility to M. tuberculosis infection and TB progression, such as hyperglycemia, increase of 1AC levels, increase of triglycerides levels, reduction of HDL-cholesterol levels, increased concentration of lipoproteins, and modification of the activity of some hormones related to the control of metabolic homeostasis. Finally, we recognize possible advantages of metabolic management of immunity to develop new strategies for treatment, diagnosis, and prevention of tuberculosis.
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Affiliation(s)
- Cristian Alfredo Segura-Cerda
- Doctorado en Farmacología, Universidad de Guadalajara, Guadalajara, Mexico.,Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco, Guadalajara, Mexico
| | - Wendy López-Romero
- Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco, Guadalajara, Mexico
| | - Mario Alberto Flores-Valdez
- Biotecnología Médica y Farmacéutica, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco, Guadalajara, Mexico
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48
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Kubiak RW, Sarkar S, Horsburgh CR, Roy G, Kratz M, Reshma A, Knudsen S, Salgame P, Ellner JJ, Drain PK, Hochberg NS. Interaction of nutritional status and diabetes on active and latent tuberculosis: a cross-sectional analysis. BMC Infect Dis 2019; 19:627. [PMID: 31311495 PMCID: PMC6636094 DOI: 10.1186/s12879-019-4244-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 06/30/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Malnutrition and diabetes are risk factors for active tuberculosis (TB), possible risk factors for latent TB infection (LTBI), and may interact to alter their effect on these outcomes. Studies to date have not investigated this interaction. METHODS We enrolled 919 newly diagnosed active TB patients and 1113 household contacts at Primary Health Centres in Puducherry and Tamil Nadu, India from 2014 to 2018. In cross-sectional analyses, we used generalized estimating equations to measure additive and multiplicative interaction of body mass index (BMI) and diabetes on two outcomes, active TB and LTBI. RESULTS Among overweight or obese adults, active TB prevalence was 12-times higher in diabetic compared to non-diabetic participants, 2.5-times higher among normal weight adults, and no different among underweight adults (P for interaction < 0.0001). Diabetes was associated with 50 additional active TB cases per 100 overweight or obese participants, 56 per 100 normal weight participants, and 17 per 100 underweight participants (P for interaction < 0.0001). Across BMI categories, screening 2.3-3.8 active TB patients yielded one hyperglycemic patient. LTBI prevalence did not differ by diabetes and BMI*diabetes interaction was not significant. CONCLUSIONS BMI and diabetes are associated with newly diagnosed active TB, but not LTBI. Diabetes conferred the greatest risk of active TB in overweight and obese adults whereas the burden of active TB associated with diabetes was similar for normal and overweight or obese adults. Hyperglycemia was common among all active TB patients. These findings highlight the importance of bi-directional diabetes-active TB screening in India.
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Affiliation(s)
- Rachel W Kubiak
- Department of Epidemiology, University of Washington, 1959 NE Pacific Street, Health Sciences Building, Box 357236, Seattle, WA, 98195, USA.
| | - Sonali Sarkar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India
| | - C Robert Horsburgh
- Department of Epidemiology, Boston University School of Public Health, Boston, USA.,Section of Infectious Diseases, Department of Medicine, Boston University School of Medicine, Boston, USA
| | - Gautam Roy
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India
| | - Mario Kratz
- Department of Epidemiology, University of Washington, 1959 NE Pacific Street, Health Sciences Building, Box 357236, Seattle, WA, 98195, USA.,Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, USA.,Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Ayiraveetil Reshma
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India
| | - Selby Knudsen
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Padmini Salgame
- Center for Emerging Pathogens, Department of Medicine, Rutgers-New Jersey Medical School, Newark, USA
| | - Jerrold J Ellner
- Department of Epidemiology, Boston University School of Public Health, Boston, USA.,Center for Emerging Pathogens, Department of Medicine, Rutgers-New Jersey Medical School, Newark, USA.,Boston Medical Center, Boston, USA
| | - Paul K Drain
- Department of Epidemiology, University of Washington, 1959 NE Pacific Street, Health Sciences Building, Box 357236, Seattle, WA, 98195, USA.,Department of Global Health, University of Washington, Seattle, USA.,Department of Medicine, University of Washington, Seattle, USA
| | - Natasha S Hochberg
- Department of Epidemiology, Boston University School of Public Health, Boston, USA.,Section of Infectious Diseases, Department of Medicine, Boston University School of Medicine, Boston, USA.,Boston Medical Center, Boston, USA
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49
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Use of Antiplatelet Agents and Survival of Tuberculosis Patients: A Population-Based Cohort Study. J Clin Med 2019; 8:jcm8070923. [PMID: 31252593 PMCID: PMC6678265 DOI: 10.3390/jcm8070923] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 06/19/2019] [Accepted: 06/24/2019] [Indexed: 12/12/2022] Open
Abstract
While evidence is accumulating that platelets contribute to tissue destruction in tuberculosis (TB) disease, it is still not known whether antiplatelet agents are beneficial to TB patients. We performed this retrospective cohort study and identified incident TB cases in the Taiwan National Tuberculosis Registry from 2008 to 2014. These cases were further classified into antiplatelet users and non-users according to the use of antiplatelet agents prior to the TB diagnosis, and the cohorts were matched using propensity scores (PSs). The primary outcome was survival after a TB diagnosis. In total, 74,753 incident TB cases were recruited; 9497 (12.7%) were antiplatelet users, and 7764 (10.4%) were aspirin (ASA) users. A 1:1 PS-matched cohort with 8864 antiplatelet agent users and 8864 non-users was created. After PS matching, antiplatelet use remained associated with a longer survival (adjusted hazard ratio (HR): 0.91, 95% confidence interval (CI): 0.88–0.95, p < 0.0001). The risk of major bleeding was not elevated in antiplatelet users compared to non-users (p = 0.604). This study shows that use of antiplatelet agents has been associated with improved survival in TB patients. The immunomodulatory and anti-inflammatory effects of antiplatelet agents in TB disease warrant further investigation. Antiplatelets are promising as an adjunct anti-TB therapy.
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50
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Awad SF, Dargham SR, Omori R, Pearson F, Critchley JA, Abu-Raddad LJ. Analytical Exploration of Potential Pathways by which Diabetes Mellitus Impacts Tuberculosis Epidemiology. Sci Rep 2019; 9:8494. [PMID: 31186499 PMCID: PMC6560095 DOI: 10.1038/s41598-019-44916-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 05/28/2019] [Indexed: 12/15/2022] Open
Abstract
We aimed to develop a conceptual framework of diabetes mellitus (DM) effects on tuberculosis (TB) natural history and treatment outcomes, and to assess the impact of these effects on TB-transmission dynamics. The model was calibrated using TB data for India. A conceptual framework was developed based on a literature review, and then translated into a mathematical model to assess the impact of the DM-on-TB effects. The impact was analyzed using TB-disease incidence hazard ratio (HR) and population attributable fraction (PAF) measures. Evidence was identified for 10 plausible DM-on-TB effects. Assuming a flat change of 300% (meaning an effect size of 3.0) for each DM-on-TB effect, the HR ranged between 1.0 (Effect 9-Recovery) and 2.7 (Effect 2-Fast progression); most effects did not have an impact on the HR. Meanwhile, TB-disease incidence attributed directly and indirectly to each effect ranged between -4.6% (Effect 7-TB mortality) and 34.5% (Effect 2-Fast progression). The second largest impact was for Effect 6-Disease infectiousness at 29.9%. In conclusion, DM can affect TB-transmission dynamics in multiple ways, most of which are poorly characterized and difficult to assess in epidemiologic studies. The indirect (e.g. onward transmission) impacts of some DM-on-TB effects are comparable in scale to the direct impacts. While the impact of several effects on the HR was limited, the impact on the PAF was substantial suggesting that DM could be impacting TB epidemiology to a larger extent than previously thought.
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Affiliation(s)
- Susanne F Awad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation, Education City, Doha, Qatar.
- Population Health Research Institute, St George's, University of London, London, UK.
| | - Soha R Dargham
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation, Education City, Doha, Qatar
| | - Ryosuke Omori
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation, Education City, Doha, Qatar
- Division of Bioinformatics, Research Center for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, Japan
- Japan Science and Technology Agency, PRESTO, Kawaguchi, Saitama, Japan
- Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, New York, USA
| | - Fiona Pearson
- Population Health Research Institute, St George's, University of London, London, UK
| | - Julia A Critchley
- Population Health Research Institute, St George's, University of London, London, UK
| | - Laith J Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation, Education City, Doha, Qatar.
- Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, New York, USA.
- College of Health and Life Sciences, Hamad bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar.
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