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Research Article | Volume 10 Issue 2 (July-December, 2024) | Pages 105 - 110
Association Of Vitamin D Level with Disease Severity in PLHIV
 ,
 ,
 ,
1
Assistant Professor, dept of Medicine, SP medical college, Bikaner
2
Senior Prof, dept of Medicine, SMS medical college, Jaipur
3
MD Medicine, Consultant, Apex Hospital, Bikaner
4
Senior Resident, dept of Medicine, SMS medical college, Jaipur
Under a Creative Commons license
Open Access
Received
Oct. 8, 2024
Revised
Oct. 23, 2024
Accepted
Nov. 15, 2024
Published
Nov. 29, 2024
Abstract

HIV-infected individuals often co-infected with Mycobacterium tuberculosis. The susceptibility and progression of TB are influence6+d by host immune response, environmental, and genetic factors, or their interactions. AIM: Association of vitamin D level with disease severity (as detected By CD4 cell count.) Methods This observational study recruited 60 subjects, divided into two groups: 30 HIV patients with tuberculosis (Group A) and 30 HIV patients without tuberculosis (Group B). Subjects were selected from the outpatient clinic and inpatients at SMS Medical College and its affiliated hospitals. Results: In our study, 66% of patients in Group A (HIV with TB) were at WHO stage 3, and 24% at stage 4. In Group B (HIV without TB), 70% were at stage 3, and 26% at stage 4 (p > 0.05). We observed an inverse correlation between Vitamin D and CD4 levels, with an r-value of -0.01 in Group A and -0.23 in Group B (p > 0.05). Similarly, for Vitamin D and WHO staging, the r-values were 0.17 for Group A and -0.1 for Group B, with no significant difference in either group (p > 0.05).  Conclusion There’s evidence suggesting a correlation between serum vitamin D levels and pulmonary tuberculosis (PTB). However, the overall variation in this correlation might be influenced by genetic factors. Studies have shown that genetic variations can impact both vitamin D metabolism and susceptibility to tuberculosis.

Keywords
INTRODUCTION

HIV-infected individuals are co-infected with Mycobacterium tuberculosis. Tuberculosis (TB)remains a major challenge to global public health. In addition to HIV infection, other factors that contribute to susceptibility and progression of TB have not been well defined. It has been suggested that susceptibility to TB is associated with host immune response and could be influenced by environmental and genetic factors or by gene-environment interactions. Human Immunodeficiency Virus (HIV) disease is characterized by a progressive deterioration in immune function. Interventions that offset this impairment have the potential to slow HIV disease progression and improve quality of life. The latter has become increasingly important in the face of HIV infection becoming a chronic disease in those with access to anti-retroviral therapy (ART)(I) 25(OH) D has been shown to downregulate the pro-inflammatory response and therefore may help to protect the host against increased lung pathology induced by exacerbated inflammation1.It also has anti-microbial effects By inducing activation macrophages2. A seminal paper in Science demonstrated the link between 25(OH) D and IFN-g induced macrophage antimicrobial responses3. The majority of studies analyzing the role of 25(OH) D in TB have shown an association between low 25(OH) D and susceptibility to active TB disease4-7. However, there are still discrepancies interms of genetic predisposition8,9 and serum levels in TB and non-TB subjects10,11. This is likely due to geographic location, exposure to sunlight, genetic differences, cultural practices, religion and the presence of other disease conditions12. Most previous vitamin D studies in HIV-positive patients are observational, and associations are based on a single measurement per patient. Moreover, only a few studies in HIV-positive patients have addressed the effect of vitamin D supplementation through a nutritional intervention trial with a placebo- or non-supplemented control group3,4.

 

AIM Association of vitamin D level with disease severity (as detected by CD4 cell count.)

METHODS

This observational study recruited a total of 60 subjects, split evenly between two groups: 30 cases of HIV with tuberculosis (Group A) and 30 cases of HIV without tuberculosis (Group B). The subjects were selected from those attending the outpatient clinic and those admitted to the Department of General Medicine at SMS Medical College and its affiliated hospitals. Before inclusion in the study, each subject provided informed consent and met specific inclusion and exclusion criteria. They were informed about the study's purpose and procedures, and written consent was obtained from all participants.Baseline clinical characteristics, including demographic, clinical, and biochemical data, were collected for each subject. This included detailed personal and family medical histories.

 

RESULTS

Table 1 Distribution of patients according to age and gender.

Age

Distribution

All Patients (n=100)

Male (67)

Female (n=33)

No. of

Patients

Percentage

No. Of patients

Percentage

No. Of patients

Percentage

20-30

20

20

15

 22.39

 

5

15.15

31-40

45

45

34

50.74

11

33.33

41-50

24

24

14

20.89

10

30.30

51-60

11

11

4

5.97

7

21.21

Total

100

100

67

100

33

100

Age in

years

(Mean±SD

37.5±9.22

36.2±8.2

40.27±10.62

 

The study revealed that most male patients (50.7%) were aged 31-40, with 22.38% falling between 20-30 years. Among females, 33.3% were aged 31-40, and 30.3% were aged 41-50. The average age was 36.2 years for males and 40.28 years for females.

 

Table 2: Distribution of patients according to occupation

Occupation

Group A

Group B

No. Of patients

Percentage

No. Of patients

Percentage

Driver

2

4

1

2

Non working females

14

28

16

32

Labourer

8

16

6

12

Private Sector

10

20

8

16

Semiskilled Worker

4

8

5

10

Skilled Worker

4

8

7

14

Shopkeeper

2

4

1

2

Student

4

8

0

0

Teacher

2

4

6

12

Total

50

100

50

100

 

In our study we found that 28% patients were non working female followed by 20% patients of private sectors in group A. In group B, 32% patients were house wife followed by 16% patients of private sector. 

 

Table 3 Distribution of patients according to CD4 Count

CD4 Count

(cells/cumm)

All Patients

(n=100)

Group A

Group B

P- value

Mean

SD

Mean

SD

Mean

SD

CD4 COUNT

353.67

263.74

328.3

271.9

379.04

255.52

0.03

 

The mean CD4 count for Group A was 328.3 cells/cumm, for Group B it was 379.04 cells/cumm, and for the entire study population, it was 353.67 cells/cumm. Group B had a significantly higher CD4 count compared to Group A, with a p-value of 0.03, indicating a significant difference between the groups (p < 0.05).

 

Table 4 Distribution of patients according to CD4 count.

CD4

Count

(Cells/dl)

(Latest) 

Group A

Group B

No. Of patients

Percentage

No. Of patients

Percentage

<200

24

48

13

26

200-500

14

28

28

56

≥501

12

24

9

18

Total

50

100

50

100

Mean±SD

328.3±271.9

379.04±255.52

P- value

                             0.03

 

In our study, 48% of patients in Group A had a CD4 count less than 200, followed by 28% with a count between 200-500. In Group B, 56% of patients had a CD4 count between 200-500, followed by 26% with less than 200 CD4 count. The p-value was 0.03, indicating a significant difference between the groups (p < 0.05).

 

Table 5 Distribution of patients according to WHO staging.

WHO

Staging

Group A

Group B

P- value

No. Of patients

Percentage

No. Of patients

Percentage

1

0

0

3

6

0.12

2

5

10

2

4

0.24

3

33

66

33

70

0.66

4

12

24

12

26

0.81

Total

50

100

50

100

 

 

In our study, 66% of patients in Group A were at WHO staging 3, followed by 24% at staging 4. In Group B, 70% were at staging 3, and 26% were at staging 4.(p > 0.05).

 

Table 6 Correlation of CD4 count and WHO staging with Vitamin D level.

Vitamin D

Level (ng/dl)

                            CD4 Count (cell/dl)

Group A

Group B

r- value

-0.01

-0.23

P- value

0.9

0.1

 

Vitamin D

Level (ng/dl)

                                 WHO Staging

Group A

Group B

r- value

0.17

-0.1

P- value

0.23

0.94

 

In our study, we observed an r-value of -0.01 for the correlation between Vitamin D and CD4 levels in Group A, and -0.23 in Group B. There was an inverse correlation between Vitamin D and CD4 count, (p > 0.05).Similarly, for the correlation between Vitamin D and WHO staging, we found an r-value of 0.17 for Group A and -0.1 for Group B. There was no significant difference between Vitamin D levels and WHO staging in either group (p > 0.05).

 

Image 1: Correlation of CD4 count with Vitamin D level.

 

Image 2: Correlation of WHO staging with Vitamin D level.

 

DISCUSSION

There are multiple direct immune mechanisms through which vitamin D deficiency may impair antimycobacterial immunity and increase the risk of tuberculosis reactivation or active primary infection. Vitamin D is required for an interferon-γ-mediated pathway in macrophages that leads to autophagy, phagosomal maturation, and other antimicrobial activities against M. tuberculosis13. Production of antimicrobial peptides, including cathelicidin and defensin β2, in macrophages when Toll-like receptors are stimulated by 1,25 (OH)2D14,15. Furthermore, vitamin D also induces reactive nitrogen and oxygen intermediates, suppresses matrix metalloproteinase enzymes, and down regulates tryptophan-aspartate– containing coat protein, which can improve antimycobacterial immune responses12,16,17. Vitamin D may also indirectly reduce the incidence of pulmonary tuberculosis by slowing HIV disease progression.

 

In our study we found that mean Vitamin D in group A was 20.33 Ng/dl and for group B it was 17.57 ng/dl. The p value was 0.04. There Was significant difference between these group as p value was <0.05. We also found that mean CD4 count for group A was 328.3 and for group B it was 379.04. The p value was 0.03. There was significant difference between These group as p value was <0.05.

 

 In our study 48% patients in group A Were of CD 4 count less than 200 followed by 28% patients with CD4 Count between 200-500. In group B 56% patients had CD4 count between 200-500 followed by 26% patients in less than 200 CD4 count. The p Value was 0.03. There was significant difference between these group as P value was <0.05.

 

In our study we found that 66% patients were of WHO staging 3 Followed by 24% patients of staging 4 in group A. In group B, 70% Patients were of WHO staging 3 and 26% patients of staging 4. There was No significant difference between these group as p value was >0.05. similarly,Yilma D et al17 found that individuals with WHO clinical stage IV and those who were on TB treatment at ART initiation had lower Serum 25(OH) D, but serum 25(OH)D was not associated with CD4 Count, viral load and serum CRP. The lower serum 25(OH)D in patients With WHO clinical stage IV disease and TB may be due to the reduced Dietary vitamin D intake because of the disease itself and/or due to Reduced exposure to sun because of their reduced mobility or Hospitalisation. Moreover, drugs used for TB treatment such as isoniazid And rifampicin may have contributed to the reduction in serum 25(OH)D, Because of their direct biological effects on the metabolism of vitamin D18R value for Vitamin D and CD4 level for group A and Group B was -0.01 and -0.23. We found that there was no significant Difference between Vitamin D levels and CD4 count in both the group as P value was >0.05.Musarurwa C et al16 conducted a study correlating gender, age, and CD4 count with vitamin D levels. They found that females had significantly higher median serum 25(OH)D concentrations compared to males, which contrasts with some reports of higher concentrations in males. Other studies have found no significant differences by gender. Musarurwa et al16 speculated that higher vitamin D levels in females might be linked to wasting, common in both PTB and HIV, as their female patients had slightly higher BMIs than males. This could imply that more vitamin D is stored in adipose tissue, which is then released during the wasting associated with HIV and/or active PTB.

CONCLUSION

Our findings, although differing from the commonly accepted link between serum vitamin D levels and PTB, align with several other studies of CD4 count , WHO staging report a connection between high serum 25(OH) D concentrations and increased PTB risk. This variation might be attributable to genetic factors, considering the complex and diverse roles of vitamin D. Therefore, genetic polymorphisms in the vitamin D receptor or in the various enzymes involved in vitamin D metabolism are promising areas for further investigation.

REFERENCES
  1. Teles RM, Graeber TG, Krutzik SR, et al. Type I interferon suppresses type II interferon-triggered human anti-mycobacterial responses. Science 2013;339: 1448e53.
  2. DeLuca HF (1982) Metabolism and molecular mechanism of action of vitamin D: 1981. Biochem Soc Trans 10: 147–158.
  3. Stroder J (1975) Immunity in vitamin D deficient rickets. Vitamin D and problems of uremic bone disease. Berline: de Gruyter. pp 675–687.
  4. Bhalla AK, Amento EP, Clemens TL, Holick MF, Krane SM (1983) Specific high-affinity receptors for 1,25-dihydroxyvitamin D3 in human peripheral blood mononuclear cells: presence in monocytes and induction in T lymphocytes following activation. J Clin Endocrinol Metab 57: 1308–1310.
  5. Liu PT, Stenger S, Li H, Wenzel L, Tan BH, et al. (2006) Toll-like receptor triggering of a vitamin D-mediated human antimicrobial response. Science 311: 1770–1773.
  6. Gibney KB, MacGregor L, Leder K, et al. Vitamin D deficiency is associated with tuberculosis and latent tuberculosis infection in immigrants from sub-Saharan Africa. Clin Infect Dis 2008;46:443e6.
  7. Lewis SJ, Baker I, Davey Smith G. Meta-analysis of vitamin D receptorpolymorphisms and pulmonary tuberculosis risk. Int J Tuberc Lung Dis 2005;9: 1174e7.
  8. Friis H, Range N, Changalucha J, et al. Vitamin D status among pulmonary TB patients and non-TB controls: a cross-sectional study from Mwanza, Tanzania. PLoS One 2013;8:e81142. Holick MF. Vitamin D deficiency. N Engl J Med 2007;357:266e81.
  9. Prentice A, Schoenmakers I, Jones KS, et al. (2010) Vitamin D deficiency and its health consequences in Africa. In Vitamin D, pp. 505–528 [MF Holick, editor]. Totowa, NJ: Humana Press.
  10. Allavena C, Delpierre C, Cuzin L, et al. (2012) High frequency of vitamin D deficiency in HIV-infected patients: effects of HIV-related factors and antiretroviral drugs. J Antimicrob Chemother 67, 2222–2230.
  11. Nansera D, Graziano F, Friedman D, Bobbs M, Jones A, Hansen K. Vitamin D and calcium levels in Ugandan adults with human immunodeficiency virus and tuberculosis. Int J Tuberculosis Lung Dis. 2011;15 (11):1522–1528. doi:10.5588/ijtld.10.0701.
  12. Lambert AA, Drummond MB, Mehta SH, Brown TT, Lucas GM, Kirk GD, et al. Risk factors for vitamin D deficiency among HIV-infected and uninfected injection drug users. PloS one. 2014; https://doi.org/10.1371/journal.pone.0095802. 
  13. Coussens AK, Martineau AR, Wilkinson RJ. Anti-inflammatory and antimicrobial actions of vitamin D in combating TB/HIV. Scientifica. 2014;.
  14. O‘Donnell MR, Daftary A, Frick M, et al. Re-inventing adherence: toward a patient-centered model of care for drug-resistant tuberculosis and HIV. Int J Tuberculosis Lung Dis. 2016;20(4):430–434. doi:10.5588/ijtld.15.0360
  15. Musarurwa C, Zijenah L, Mhandire D Z, Bandason T, Mhandire K, Chipiti M M, Munjoma M W, Mujaji W B. Higher serum 25-hydroxyvitamin D concentrations are associated with active pulmonary tuberculosis in hospitalised HIV infected patients in a low income tropical setting: a cross sectional study. BMC Pulmonary Medicine (2018) 18:67.
  16. Yilma D, Kaestel P, Olsen M F, Abdissa A, Tesfaye M, Girma T, Krarup H et al. Change in serum 25-hydroxyvitamin D with antiretroviral treatment initiation and nutritional intervention in HIV-positive adults. British Journal of Nutrition (2016), 116, 1720–1727.
  17. Campbell GR, Spector SA. Vitamin D inhibits human immunodeficiency virus type 1 and Mycobacterium tuberculosis infection in macrophages through the induction of autophagy. PLoSPathog. 2012; https://doi.org/10.1371/ journal. ppat.1002689.
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