| Literature DB >> 35639713 |
Manachai Yingklang1,2, Apisit Chaidee2,3, Rungtiwa Dangtakot4, Chanakan Jantawong4, Ornuma Haonon4, Chutima Sitthirach2,3, Nguyen Thi Hai2,3,5, Ubon Cha'on2,6, Sirirat Anutrakulchai2,7, Supot Kamsa-Ard1, Somchai Pinlaor2,3.
Abstract
BACKGROUND: Several studies have demonstrated that helminth infections provide a degree of protection against Type 2 diabetes mellitus (T2DM). However, the relationship between Strongyloides stercoralis infection and T2DM has scarcely been investigated and the protective effect of infection against development of diabetic complications is unclear. In this study, we aimed to investigate the relationship between S. stercoralis infection and T2DM in a rural area of Khon Kaen Province, Thailand. The impact of S. stercoralis infection on diabetic complication-related kidney function biochemical parameters and body-mass index (BMI) was also assessed.Entities:
Mesh:
Year: 2022 PMID: 35639713 PMCID: PMC9154194 DOI: 10.1371/journal.pone.0269080
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Geographical area of this study in Khon Kaen Province, northeastern Thailand.
Map obtained from USGS National Map Viewer (public domain): http://viewer.nationalmap.gov/viewer/. The base map is visualized based on the OpenStreetMap elements tags. Reprinted from OpenStreetMap under a CC BY license, with permission from OpenStreetMap, original copyright 2020. Base map ©OpenStreetMap contributors. All other layers were produced by the authors and are copyright-free.
Fig 2Flow diagram of the study participants and study design to investigate the association between S. stercoralis infection, T2DM and socioeconomic factors (n = 704), and their impact on BMI and kidney-related biochemical parameters (n = 321).
Demographic characteristics and socioeconomic status of the population (n = 704).
| Variables | n or mean ± SD | Percentage (%) |
|---|---|---|
|
| ||
| Female | 489 | 69.46 |
| Male | 215 | 30.54 |
|
| ||
| 30–39 | 22 | 3.13 |
| 40–49 | 98 | 13.92 |
| 50–59 | 273 | 38.78 |
| 60–69 | 225 | 31.96 |
| >70 | 86 | 12.22 |
| Mean ± SD | 58.23±9.38 | |
|
| 60.64±9.83 | |
|
| 157.19±7.19 | |
|
| ||
| Primary school or lower | 510 | 72.44 |
| Higher than primary school | 194 | 27.56 |
|
| ||
| Un-employed | 91 | 12.93 |
| Un-agriculturist | 103 | 14.63 |
| Agriculturist | 510 | 72.44 |
|
| ||
| < 10,000 | 639 | 90.77 |
| > 10,000 | 65 | 9.23 |
|
| 24.55±3.71 | |
|
| 126.85±16.56 | |
|
| 82.06±10.42 | |
|
| ||
| No | 583 | 82.81 |
| Yes, previous | 66 | 9.38 |
| Yes, current | 55 | 7.81 |
|
| ||
| No | 416 | 59.09 |
| Yes, previous | 115 | 16.34 |
| Yes, current | 173 | 24.57 |
|
| ||
| No | 209 | 29.69 |
| Yes (until breaking a sweat) | 495 | 70.31 |
|
| ||
| No | 421 | 59.80 |
| Yes | 283 | 40.20 |
Univariable logistic regression analyses of the association between demographic characteristics, socioeconomic factors and S. stercoralis infection (n = 704).
| Variables | Crude OR | 95%CI | |||
|---|---|---|---|---|---|
| Yes | No | ||||
| n | n | ||||
|
| |||||
| Female | 47 | 442 | 1 | ||
| Male | 60 | 155 | 3.640 | 2.384, 5.559 | <0.001 |
|
| |||||
| 30–59 | 44 | 349 | 1 | ||
| ≥60 | 63 | 248 | 2.015 | 1.326, 3.060 | 0.001 |
|
| |||||
| Higher than primary school | 14 | 153 | 1 | ||
| Primary school or lower | 93 | 444 | 2.289 | 1.267, 4.134 | 0.006 |
|
| |||||
| Un-employed | 11 | 80 | 1.150 | 0.473, 2.794 | 0.758 |
| Un-agriculturist | 11 | 92 | 1 | ||
| Agriculturist | 85 | 425 | 1.672 | 0.858, 3.259 | 0.131 |
|
| |||||
| < 10,000 | 100 | 539 | 1 | ||
| > 10,000 | 7 | 58 | 0.651 | 0.289, 14.466 | 0.300 |
| BMI (kg/m2) | |||||
| <22.9 | 66 | 336 | 1 | ||
| ≥23 | 41 | 261 | 0.799 | 0.511, 1.243 | 0.298 |
|
| |||||
| No | 71 | 512 | 1 | ||
| Yes, previous | 15 | 51 | 2.121 | 1.133, 3.970 | 0.019 |
| Yes, current | 21 | 34 | 4.454 | 2.449, 8.098 | <0.001 |
|
| |||||
| No | 44 | 373 | 1 | ||
| Yes, previous | 22 | 93 | 2.000 | 1.142, 3.501 | 0.015 |
| Yes, current | 41 | 132 | 2.626 | 1.642, 4.199 | <0.001 |
|
| |||||
| No | 29 | 180 | 1 | ||
| Yes (until breaking a sweat) | 78 | 417 | 1.161 | 0.732, 1.840 | 0.525 |
|
| |||||
| No | 75 | 346 | 1 | ||
| Yes | 32 | 251 | 0.588 | 0.377, 0.917 | 0.019 |
Multivariable logistic regression analyses of factors associated with S. stercoralis infection (n = 704).
| Variables | Crude OR | Adjusted OR | 95% CI | |||
|---|---|---|---|---|---|---|
| Yes | No | |||||
| n | n | |||||
|
| ||||||
| Female | 47 | 442 | 1 | 1 | ||
| Male | 60 | 155 | 3.640 | 2.936 | 1.759, 4.896 | <0.001 |
|
| ||||||
| Higher than primary school | 14 | 153 | 1 | 1 | ||
| Lower than primary school | 93 | 444 | 2.289 | 2.062 | 1.069, 3.979 | 0.031 |
|
| ||||||
| 30–59 | 44 | 349 | 1 | 1 | ||
| ≥60 | 63 | 248 | 2.015 | 1.618 | 1.017, 2.572 | 0.042 |
|
| ||||||
| No | 44 | 373 | 1 | 1 | ||
| Yes, previous | 22 | 93 | 2.000 | 1.146 | 0.604, 2.171 | 0.676 |
| Yes, current | 41 | 132 | 2.626 | 1.986 | 1.135, 3.477 | 0.016 |
|
| ||||||
| No | 75 | 346 | 1 | 1 | ||
| Yes | 32 | 251 | 0.588 | 0.485 | 0.303, 0.777 | 0.003 |
Fig 3Association of S. stercoralis infection with biochemical profiles BMI and T2DM (matching sex and age between groups).
a): Direct low-density lipoprotein cholesterol: LDL-C; b): Alanine transaminase: ALT; c): Uric acid; d): Urine albumin-to-creatinine ratio: UACR; e): Estimated glomerular filtration rate: eGFR; f): Serum creatinine; g): Body mass index: BMI. Lines indicate mean and standard deviation (SD) of data. Statistical significance based on one-way ANOVA.