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Research Article · Volume 1, Issue 2, 25 September 2026 · Open Access

Levels of Alkaline Phosphatase, Erythrocyte Sedimentation Rate, and C-Reactive Protein in Rheumatoid Arthritis Individuals

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Affiliations & Notes ⌄
  1. 1Department of Biochemistry, Kinnaird College for Women, 93-Jail Road, Lahore, Punjab, 54000, Pakistan *Corresponding author: raazia.tasadduq@kinnaird.edu.pk
Article Info ⌄
Journal:
BIOMEDICUS: Journal of Biological and Biomedical Frontiers
Published:
25 September 2026

From the article

  • The study was undertaken to estimate the levels of biochemical markers i.e., ALP, ESR and CRP in RA afflicted individuals and were compared with the healthy controls.
  • Average age of RA afflicted patients included in the study was calculated to be 41.14± 9.93 years, while the healthy individuals had an average age of 41.9±11.23 years (Table I).
  • The higher frequency of females in the RA affected individuals indicated that there was greater incidence of rheumatoid arthritis among the female gender.
  • The estimation of ALP levels among the participants in the study showed that the RA affected individuals had significantly elevated ALP levels with a mean of 240.51 ± 66.81 U/l as compared with the mean ALP levels (135.40 ± 22.69 U/l) in healthy individuals (Table I).

Selected from the article's own text.

Abstract

Rheumatoid Arthritis (RA) is a chronic autoimmune polyarticular disorder characterized by inflammation of joints leading to systemic complications. Early detection of rheumatoid arthritis is difficult to achieve due to a variety of reasons. The present study was conducted to estimate the level of alkaline phosphatase (ALP), erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) in individuals suffering from rheumatoid arthritis and compared them with individuals who were not experiencing this condition. The levels of all these markers rise in plasma following tissue damage or injury. This cross-sectional analytical study recruited 130 participants, 70 rheumatoid arthritis patients and 60 healthy individuals. The mean age were found to be 41.14 ± 9.93 years and 41.14 ± 9.93 years for individuals with rheumatoid arthritis and healthy controls, respectively. This condition was found to be more prevalent in female gender. RA afflicted patients had significantly elevated levels of ALP, ESR and CRP compared to healthy group. No significant co-relation was found between levels of ALP, ESR and CRP. It was inferred that each of the three markers has an independent role in predicting the progression of the disease and a combination of these markers can assist in the early and reliable identification of rheumatoid arthritis among patients. Thus, this would subsequently be helpful in early treatment and management of the disease so that the subjects can have a productive lifestyle.
 
Key words: Rheumatoid arthritis, Alkaline phosphatase, C-reactive protein, Erythrocyte sedimentation Rate, Autoimmune disorder

INTRODUCTION

Rheumatoid arthritis (RA) is an autoimmune disorder characterized by the inflammation of synovial membrane of the joints, leading to its destruction. This disease has extra-articular effects that may affect organs such as the skin, heart, lungs, and eyes. Hence, this disease is associated with higher incidence of co-morbidities that may prove to be fatal1. Women are at a greater risk of being afflicted with rheumatoid arthritis compared to men2. The age for the onset of the disease ranges from 35 years to 50 years3. RA is diagnosed based on physical examination and X-rays along with the results for complete blood cell count (CBC), rheumatoid factor (RF), anti–cyclic citrullinated peptide (CCP), C-reactive protein (CRP) or erythrocyte sedimentation rate (ESR)4,5.

As RA is an autoimmune disorder, the levels of directly the inflammatory biomarkers CRP and ESR are associated with the disease progression and activity6,7. Alkaline phosphatase (ALP) is extensively used as one of the biochemical markers for determining the status of the various diseases including RA and their subsequent management8. Hence the combination of CRP, ESR and ALP are considered to be a reliable prognostic biomarker for the progression of the joint damage and the disease outcome9. This study focused on to determine the levels of ALP, ESR and CRP among RA individuals and their comparison with health individuals.

MATERIALS AND METHODS

Sample collection

Patients suffering from RA were recruited from Arthritic Care Foundation Clinic, Behbood Center, Chamba House Lane, G.O.R., Lahore. An informed consent was taken and questionnaire regarding the demographics, clinical history and biochemical aspects was filled. Patients with liver diseases, cancer, AIDS, tuberculosis, bacterial endocarditis and other parasitic infections were excluded. Individuals, who did not suffer from RA and belonged to the same age group as that of the patients, were taken as controls.

Determination of RA, ESR, CRP and ALP

Fresh serum sample was used for the determination of rheumatoid factor using Atlas Rheumatoid Factor Latex kit (Atlas Medical, Cat. no. 8.00.04.0.0100). Serum CRP and ALP levels were measured with the Humatex CRP kit (Human Diagnostics, Germany, Cat. no. 40043) by) and Alkaline Phosphatase liquicolor kit (Human Diagnostics, Germany, Cat. no. 40043), respectively. Levels of ESR were determined using standard protocol10.

Statistical analysis

Data was analyzed by using SPSS (version 21, IBM) software.

RESULTS

The study was undertaken to estimate the levels of biochemical markers i.e., ALP, ESR and CRP in RA afflicted individuals and were compared with the healthy controls. A total of 130 individuals participated in this study, out of which 70 individuals tested positive for rheumatoid factor while 60 were tested negative for it and were hence labeled as RA affected and healthy or control group, respectively.

Association of RA with parameters related to demographics, clinical history and biochemical aspects were determined (Table I). Average age of RA afflicted patients included in the study was calculated to be 41.14± 9.93 years, while the healthy individuals had an average age of 41.9±11.23 years (Table I). As per results, no significant difference between the mean ages of the two groups was observed. The sample population comprised of 20% males and 80% females of which the RA affected males constituted 13.84%, while the RA affected females constituted 56.15% of the total population. The higher frequency of females in the RA affected individuals indicated that there was greater incidence of rheumatoid arthritis among the female gender. Majority of the individuals having rheumatoid arthritis belonged to low-income groups. However, a small percentage, i.e., 6% and 9% RA affected individuals hailed from upper middle- and high-income class, respectively.

The estimation of ALP levels among the participants in the study showed that the RA affected individuals had significantly elevated ALP levels with a mean of 240.51 ± 66.81 U/l as compared with the mean ALP levels (135.40 ± 22.69 U/l) in healthy individuals (Table I).

The CRP levels in RA affected individuals were considerably higher in comparison to controls (Table I). The CRP levels were considerably raised in some (96 mg/l) while noticeably dropped in others (6mg/l) owing to the inflammation reducing and disease modifying effect of the drugs being utilized by them.

Table I. Demographic, clinical, and biochemical characteristics of healthy vs. RA individuals.

Demographic/clinical parameters

Healthy individuals (n=60)

RA affected individuals (n=70)

Age (years ± SD)

41.9 ± 11.23

41.14 ± 9.93

Gender ‘n’ (%)

Males

8 (6.15%)

18 (13.84%)

Females

31 (23.84%)

73 (56.15%)

Age groups (%)

Below 30

4

7

30-39

9

22

40-49

8

26

50-59

6

11

Above 60

3

4

Socio economic status (%)

High income class

7

9

Upper middle class

8

6

Lower middle class

7

28

Low-income class

8

25

Family history of RA (%)

Yes

0

32

No

60

38

Individuals taking prescribed drugs (%)

Yes

0

68

No

30

2

Individuals with co-morbidities (%)

No co-morbidity

30

29

Disease related co-morbidities

0

17

Drug induced co-morbidities

0

11

Disease and drug related co-morbidities

0

13

Smoking profile (%)

Smokers

1

6

Non-smokers

29

64

ALP (U/l ± SD)

135.40 ± 22.69

240.51 ± 66.81**

CRP levels (mg/l ± SD)

0.4 ± 2.19

27.09 ± 21.73**

ESR levels (mm/h ± SD)

12.03 ± 3.44

44.31 ± 16.75**

** p < 0.001

ALP, alkaline phosphatase; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate

The evaluation of ESR in the sample population was carried out to estimate the degree of inflammation which is indicated by the rise in ESR levels. RA afflicted individuals had significantly elevated average ESR levels (44.31 ± 16.75 mm/h) in contrast to the mean ESR levels of healthy individuals which was calculated be 12.03 ± 3.44 mm/h (Table I). From the results, it was inferred that elevated average ESR levels in the diseased group illustrated high grade tissue inflammation associated with RA as compared to the controls.

The co-relational analysis of ALP, ESR and CRP was carried out to evaluate if any co-relation existed between the levels of these biochemical markers in the participants. No significant co-relations were found between ALP, ESR and CRP levels among different age groups of participants. Absence of co-relation between the measured biochemical markers suggested that each of these markers contributed independently to the disease process.

DISCUSSION

RA is an autoimmune disease, chronic in nature and is characterized by persistent inflammation of the synovial membrane leading to the erosion of the articular surface of bones and cartilage locally, and atrophy of the other organs principally lungs, eyes, heart and skin, systemicall11.

The present study was comprised of 130 individuals among whom 54% were diagnosed clinically positive for RA and constituted the diseased group whereas 46% represented the control or healthy group without RA. The mean ages of RA affected, and healthy individuals did not differ significantly and were almost same as 41.14 ±9.93 years and 41.9 ± 11.23 years, respectively. However, when the participants of the study were segregated into various age groups, predominance by RA patients (26%) was exhibited in the age group ranging from 40-49 years of age. These results co-relate with an earlier study carried in Karachi, Pakistan in which the average age of incidence of RA in the patients was observed to be between 40-55 years. The outcome of another study undertaken12 on RA patients visiting a rheumatology clinic in Karachi showed that the mean age of RA affected females was 38.5 ± 12.4 years, while males had an average age of 44.8 ± 13.12 years. According to a study conducted in India13, in which individuals aged between 20 to 65 years were recruited, the average age of participants came out to be 43 years.

In this study, a vast majority (53%) of the RA afflicted individuals belonged to poor and lower middle classes. These results co-relate with the earlier studies that indicated a strong association of lower occupational class and its associated psychological and lifestyle factors with the increased risk of developing RA14. It has been reported by various studies that the RA sufferers from lower income class experience more RA associated co-morbidities and rate of mortalities as compared to patients from upper socioeconomic classes15-20. According to a study conducted in Sweden21, the incidence of RA was higher among the individuals having lower socioeconomic status in contrast to those belonging to upper socioeconomic class.

In the current study, ALP, ESR and CRP levels were assessed in patients who were tested positive for RA factor and compared with their corresponding levels in healthy individuals. Significant increase in mean levels of ALP in RA individuals (240.51±66.81 U/l) was estimated compared to the healthy controls (135.40± 22.69 U/l). Raised levels of serum ALP in rheumatoid patients have been reported by various studies22-28. Nanke et al. 28 suggested that elevated levels of ALP may be attributed to the action of inflammatory cytokines like Interleukin-1 (IL-1)27,28. Our results have been supported by similar studies as demonstrated by Wasti et al. 29 who reported a significant elevation of the ALP levels in RA patients (386.47±18.86 U/l) whereas the ALP levels of healthy participants were reported to be 204.65±12.21 U/l.

The results of the present study demonstrate a significant elevation in the mean levels of CRP in RA afflicted individuals (27.09 ± 21.73 mg/l) when compared with controls (0.4 ± 2.19 mg/l). Similar results have been reported by other studies30-33. It has been proposed that the CRP levels can predict the future probability of cardiovascular disease linked mortality in rheumatoid arthritis, regardless of the presence of vascular risk factors like myocardial infarction, stroke, and elevated levels of LDL etc.34. The mean ESR levels of the RA patients (44.31 ± 16.75 mm/h) were significantly elevated in contrast to the mean ESR levels of the healthy participants (12.03 ± 3.44 mm/h). These results are in accordance with the previous findings30, 33,35.

Previously it had been proposed that there exists a positive co-relation between the serum levels of ALP and the disease activity markers i.e. ESR and CRP28,33,35. However, in our study no significant co-relation was found between any of these biochemical markers, perhaps owing to the small sample size taken. However, taking our results into consideration, it is suggested that each of these markers contributed to the disease process in an independent manner. Hence a combination of all these markers is expected to be a better and more effective choice for the early diagnosis and management of rheumatoid arthritis. This conclusion has been supported by the study conducted30 in Rawalpindi, who demonstrated that there exists a direct relationship between each of these individual biochemical markers and the severity of the disease30.

CONCLUSION

This study, which is based on 130 participants, highlights that while all three biomarkers are markedly elevated in RA patients, there is no direct correlation between them, indicating their independent roles in disease progression. These findings provide valuable information about the combined diagnostic potential of these markers and their applicability in early diagnosis, disease progression and clinical treatment.

Declarations

Acknowledgement

Authors would like to thank Ms. Sara Sarfraz (Department of Urdu, Kinnaird College for Women) for translation of the documents to Urdu, where required.

Authors’ contribution

RT: Study conception and design; HS: Investigation; HS, IB, NA: Analysis and interpretation of results; HS, RT, FF: Draft manuscript. All authors reviewed the results and approved the final version of the manuscript.

Ethical statement

All procedures performed in studies involving human participants were in accordance with the ethical standards of institutional and/or research committee and with the 1975 Declaration of Helsinki, as revised in 2013.

IRB approval

The study was approved by the Ethical Review Committee of Kinnaird College for Women, Lahore

Funding statement

This study was not funded by any agency or institution.

Generative AI and AI-assisted technology statement

The authors declare that no generative AI and AI assisted technology was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, and those of publishers, the editor and the reviewers. Any product that may be evaluated in this article, or claim that may be made by this manufacturer, is not gaurenteed or endorsed by the publisher.

Data availability statement

Data and supporting information would be available from the authors on request

Statement of conflict of interest

The authors have declared no conflict of interest.

References

  1. Al-Rubaye, A.F., Kadhim, M.J. and Hameed, I.H., 2017. Rheumatoid arthritis: history, stages, epidemiology, pathogenesis, diagnosis and treatment. International Journal of Toxicological and Pharmacological Research, 9: 145-155. https://doi.org/10.25258/ijtpr.v9i02.9052[CrossRef]
  2. Sokka, T., Toloza, S., Cutolo, M., Kautiainen, H., Makinen, H., Gogus, F. and Baranauskaite, A., 2009. Women, men, and rheumatoid arthritis: analyses of disease activity, disease characteristics, and treatments in the QUEST-RA study. Arthritis Research and Therapy, 11: 1-12. https://doi.org/10.1186/ar2591[CrossRef]
  3. Nilsson, J., Andersson, M.L., Hafström, I., Svensson, B., Forslind, K., Ajeganova, S. and Gjertsson, I., 2021. Influence of age and sex on disease course and treatment in rheumatoid arthritis. Open access rheumatology: Research and Reviews, pp. 123-138. https://doi.org/10.2147/OARRR.S306378[CrossRef]
  4. Aletaha, D. and Smolen, J.S., 2018. Diagnosis and management of rheumatoid arthritis: A review. Journal of the American Medical Association, 320: 1360-1372. https://doi.org/10.1001/jama.2018.13103[CrossRef]
  5. Trivedi, J., 2024. Clinical presentation and diagnosis of rheumatoid arthritis. Annals of Clinical and Medical Case Reports, 13: 1-7.
  6. Abdelhafiz, D., Baker, T., Glascow, D. and Abdelhafiz, A., 2023. Biomarkers for the diagnosis and treatment of rheumatoid arthritis–a systematic review. Postgraduate Medicine, 135: 214-223. https://doi.org/10.1080/00325481.2022.2052626[CrossRef]
  7. Shapiro, S.C., 2021. Biomarkers in rheumatoid arthritis. Cureus, 13. https://doi.org/10.7759/cureus.15063[CrossRef]
  8. Slouma, M., Lahmar, W., Mohamed, G., Dhrif, O., Dhahri, R., Bellali, H. and Ebdelli, N., 2024. Associated factors with liver fibrosis in rheumatoid arthritis patients treated with methotrexate. Clinical Rheumatology, 43: 929-938. https://doi.org/10.1007/s10067-023-06847-7[CrossRef]
  9. Sahin, D., Di Matteo, A. and Emery, P., 2025. Biomarkers in the diagnosis, prognosis and management of rheumatoid arthritis: A comprehensive review. Annals of Clinical Biochemistry, 62: 3-21. https://doi.org/10.1177/00045632241285843[CrossRef]
  10. Higuchi, M. and Watanabe, N., 2022. A rapid and accurate method for estimating the erythrocyte sedimentation rate using a hematocrit-corrected optical aggregation index. PLoS One, 17: e0270977. https://doi.org/10.1371/journal.pone.0270977[CrossRef]
  11. Gulati, M., Farah, Z. and Mouyis, M., 2018. Clinical features of rheumatoid arthritis. Medicine, 46: 211-215. https://doi.org/10.1016/j.mpmed.2018.01.008[CrossRef]
  12. Alam, S.M., Kidwai, A.A., Jafri, S.R., Qureshi, B.M., Sami, A., Qureshi, H.H. and Mirza, H., 2011. Epidemiology of rheumatoid arthritis in a tertiary care unit, Karachi, Pakistan. Hypertension, 13: 87.
  13. Al-Temimi, F., 2010. The spectrum of rheumatoid arthritis in patients attending rheumatology clinic in Nizwa Hospital-Oman. Oman Medical Journal, 25: 184. https://doi.org/10.5001/omj.2010.54[CrossRef]
  14. Symmons, D.P., 2003. Environmental factors and the outcome of rheumatoid arthritis. Best Practice and Research Clinical Rheumatology, 17: 717-727. https://doi.org/10.1016/S1521-6942(03)00063-9[CrossRef]
  15. Group, E., 2000. Socioeconomic deprivation and rheumatoid disease: What lessons for the health service? Annals of the Rheumatic Diseases, 59: 794. https://doi.org/10.1136/ard.59.10.794[CrossRef]
  16. Harrison, M.J., Tricker, K.J., Davies, L., Hassell, A., Dawes, P., Scott, D.L. and Symmons, D.P., 2005. The relationship between social deprivation, disease outcome measures, and response to treatment in patients with stable, long-standing rheumatoid arthritis. The Journal of Rheumatology, 32: 2330-2336.
  17. Jacobi, C.E., Mol, G.D., Boshuizen, H.C., Rupp, I., Dinant, H.J. and Van den Bos, G.A., 2003. Impact of socioeconomic status on the course of rheumatoid arthritis and on related use of health care services. Arthritis Care and Research, 49: 567-573. https://doi.org/10.1002/art.11200[CrossRef]
  18. Maiden, N., Capell, H., Madhok, R., Hampson, R. and Thomson, E., 1999. Does social disadvantage contribute to the excess mortality in rheumatoid arthritis patients? Annals of the Rheumatic Diseases, 58: 525-529. https://doi.org/10.1136/ard.58.9.525[CrossRef]
  19. Marra, C., Lynd, L., Esdaile, J., Kopec, J. and Anis, A., 2004. The impact of low family income on self-reported health outcomes in patients with rheumatoid arthritis within a publicly funded health-care environment. Rheumatology, 43: 1390-1397. https://doi.org/10.1093/rheumatology/keh334[CrossRef]
  20. McEntegart, A., Morrison, E., Capell, H., Duncan, M., Porter, D., Madhok, R. and Thomson, E., 1997. Effect of social deprivation on disease severity and outcome in patients with rheumatoid arthritis. Annals of the Rheumatic Diseases, 56: 410-413. https://doi.org/10.1136/ard.56.7.410[CrossRef]
  21. Bengtsson, C., Nordmark, B., Klareskog, L., Lundberg, I., Alfredsson, L. and Group, E.S., 2005. Socioeconomic status and the risk of developing rheumatoid arthritis: Results from the Swedish EIRA study. Annals of the Rheumatic Diseases, 64: 1588-1594. https://doi.org/10.1136/ard.2004.031666[CrossRef]
  22. Beyeler, C., Banks, R.E., Thompson, D., Forbes, M.A., Cooper, E.H. and Bird, H., 1995. Bone alkaline phosphatase in rheumatic diseases. Annals of Clinical Biochemistry, 32: 379-384. https://doi.org/10.1177/000456329503200405[CrossRef]
  23. Chandrakar, B., Harish, C. and Chandrakar, K.S., 2017. Activity of serum alkaline phosphatase in rheumatoid arthritis for diagnosis and management. International Journal of Medical Research Professionals, 3: 281-284.
  24. Cimmino, M., Buffrini, L., Barisone, G., Bruzzone, M. and Accardo, S., 1990. Alkaline phosphatase activity in the serum of patients with rheumatoid arthritis. Zeitschrift fur Rheumatologie, 49: 143-146.
  25. Sharma, P.K., 2018. Use of serum alkaline phosphatase levels as biomarkers in rheumatoid arthritis patients: A Hospital Based Study. Index Medicus for the South-East Asia Region, Article ID: sea-184150
  26. Spooner, R., Smith, D., Bedford, D. and Beck, P., 1982. Serum gamma-glutamyltransferase and alkaline phosphatase in rheumatoid arthritis. Journal of Clinical Pathology, 35: 638-641. https://doi.org/10.1136/jcp.35.6.638[CrossRef]
  27. Dubey, A., Hijam, D., Debnath, S., Haokip, L. and Devi, T.I., 2017. Study of Serum Alkaline Phosphatase Level in Rheumatoid Arthritis. International Journal Medical Resarch Professionals, 3: 318-321.
  28. Nanke, Y., Kotake, S., Akama, H. and Kamatani, N., 2002. Alkaline phosphatase in rheumatoid arthritis patients: Possible contribution of bone-type ALP to the raised activities of ALP in rheumatoid arthritis patients. Clinical Rheumatology, 21: 198-202. https://doi.org/10.1007/s10067-002-8285-4[CrossRef]
  29. Wasti, A., Jabeen, F. and Hassan, B., 2013. Biochemical and enzymatic profiling in rheumatoid arthritis: A clinical update. International Science and Investigation Journal, 3: 1-9.
  30. Naqi, N., Ahmed, T.A., Malik, J.M., Ahmed, M. and Bashir, M.M., 2012. Identification of laboratory markers of disease activity in rheumatoid arthritis. Pakistan Armed Forces Medical Journal, 1: 10.
  31. Orr, C.K., Najm, A., Young, F., McGarry, T., Biniecka, M., Fearon, U. and Veale, D.J., 2018. The utility and limitations of CRP, ESR and DAS28-CRP in appraising disease activity in rheumatoid arthritis. Frontiers in Medicine, 5: 185. https://doi.org/10.3389/fmed.2018.00185[CrossRef]
  32. Shrivastava, A.K., Singh, H., Raizada, A., Singh, S., Pandey, A., Singh, N. and Sharma, H., 2015. Inflammatory markers in patients with rheumatoid arthritis. Allergologia et Immunopathologia, 43: 81-87. https://doi.org/10.1016/j.aller.2013.11.003[CrossRef]
  33. Yildirim, K., Karatay, S., Melikoglu, M.A., Gureser, G., Ugur, M. and Senel, K., 2004. Associations between acute phase reactant levels and disease activity score (DAS28) in patients with rheumatoid arthritis. Annals of Clinical and Laboratory Science, 34: 423-426.
  34. Hameed, K., Gibson, T., Kadir, M., Sultana, S., Fatima, Z. and Syed, A., 1995. The prevalence of rheumatoid arthritis in affluent and poor urban communities of Pakistan. Rheumatology, 34: 252-256. https://doi.org/10.1093/rheumatology/34.3.252[CrossRef]
  35. Pallinti, V., Ganesan, N., Anbazhagan, M. and Rajasekhar, G., 2009. Serum biochemical markers in rheumatoid arthritis. Indian Journal of Biochemistry and Biophysics, 46: 342-344.

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Levels of Alkaline Phosphatase, Erythrocyte Sedimentation Rate, and C-Reactive Protein in Rheumatoid Arthritis Individuals · ResearchersLinks