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Research Article | Volume 15 Issue 5 (May, 2025) | Pages 7 - 14
Cord-blood Lipid Profile in Neonates: with their Birth Weight and Term of the Baby
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1
Professor, Department Of Pediatrics, Sri Venkateswara Medical College, Tirupati, Andhra Pradesh, India
2
Associate Professor, Dept. of OBG, GMH, Sri Venkateswara Medical College, Tirupati, Andhra Pradesh, Tirupati, India
3
Professor, Dept. of Biochemistry, Sri Venkateswara Medical College, Tirupati, Andhra Pradesh, India
4
Professor, Dept. of Biochemistry, ACSR Government medical college, Nellore, Andhra Pradesh, India
5
Scientist-B, Multi-Disciplinary Research Unit, Sri Venkateswara Medical College, Tirupati, Andhra Pradesh, India
6
Assistant Professor, Library and Information Science University Library, Sri Venkateswara Veternary University, Tirupati, Andhra Pradesh, India
Under a Creative Commons license
Open Access
Received
March 25, 2025
Revised
April 10, 2025
Accepted
April 25, 2025
Published
May 3, 2025
Abstract

Background: A comparative research of lipid profiles in umbilical cord-blood can provide critical insights in the intrauterine environment and neonatal health, potentially serving as indicators for the early detection of metabolic disorders and guiding interventions to improve long-term child health outcomes. The lipid content in neonatal cord-blood, including distinct lipoprotein fractions, can be affected by prenatal nutritional deficits and the gestational age at birth. Objective: This research determined the standard values of cord-blood triglycerides, low-density lipoprotein (LDL), very-low-density lipoprotein (VLDL),high-density lipoprotein (HDL),and total cholesterol in 3157 neonates in India. Materials and Methods: This cross sectional study was conducted in regional tertiary care medical hospital of Andhra Pradesh, India. A total number of 3157 samples in which 225Preterm, 2886 Term, and 82 Post-term newborns were studied. Fully Automated Biochemistry Analyser (bio systems A-25-spain)used to estimate the parameters like Total cholesterol, triglycerides, low-density lipoprotein-cholesterol(LDL-C), high-density lipoprotein-cholesterol(HDL-C),and very low density lipoproteins(VLDL)were analyzed. Results: No Significant differences existed between cord-blood concentrations of triglycerides, total cholesterol, HDL LDL and VLDL in the term,Post-term and Preterm infants(P < 0.05). Conclusion: This conclude that the standard cord-blood lipid profile of term(>37 to 41 weeks)babies(Tab.V) and normal birth weight( ≥ 2500 gms to 4000 gms )babies(Tab.8)The study also showed the fluctuations of lipid profile in Preterm and Post-term neonates(Fig no-3)indicates the risk of obesity and CVDs in comparison with literatures. Preventive measures to minimize the low birth weight labor/Preterm with adequate nutritional supplementations to the mothers during the gestational age and life style modifications of mothers.

 

Keywords
INTRODUCTION

The lipid profile test measures the levels of cholesterol and its related substances in the body as well as different indicators of heart disease risk. [1] Dyslipidemia can lead to problems like stroke kidney failure heart disease and atherosclerosis. Dyslipidemia becomes more common as people get older. Fetal malnutrition and being born prematurely can affect the levels of different types of lipoproteins in a baby's cord blood. [2] The chances of getting heart disease (CVD) are going up in kids and teens because of things like being overweight and having high levels of fats in the blood. [3, 4]   Many things like high blood pressure diabetes being overweight and having a baby that is too small or too big can affect the fats in a baby's blood. [7-10] Low birth weight (LBW) is linked to higher chances of getting heart disease high blood pressure and type II diabetes. [11] All of these factors lead to cardiovascular disease by causing a buildup of plaque in the arteries. [12] Finding out the levels of fat in cord blood can help identify babies who are at a higher risk of having abnormal fat levels compared to healthy newborns. [14-16] Low birth weight newborns who have trouble processing insulin may experience changes in their blood fats which can lead to a higher chance of heart disease when they grow up. LBW increases the chances of getting heart diseases later in life just like smoking or high blood pressure during puberty. [17-19] Therefore it appears that there is a connection between a person's birth weight and their risk of dying from cardiovascular disease when they are older. [20] Babies born early are more likely to have trouble learning problems with movement trouble with their senses and breathing issues compared to babies born on time. Being born too early increases the chances of having heart disease and other serious health problems later in life. .[21] A higher birth weight is linked to more insulin-like growth factor-1 (IGF-1) which can alter the types and amounts of fats in the blood at birth. This could raise the chances of getting heart diseases.[22] This research looked at how the fats in a baby's umbilical cord may be linked to the risk of heart diseases in adulthood. The study analyzed the levels of fats in the umbilical cord blood of newborns with different birth weights and gestational ages.

 

MATERIALS AND METHODS

This cross-sectional study was carried out from April 2017 to March 2019, involving 3,157 newborns at a government maternity hospital, specifically the Institute of Pregnant Women, located in South India. The research received approval from the Institutional Ethics Committee (IEC) of Sri Venkateswara Medical College, and written informed consent was obtained from all participating parents. The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki as reflected in a priori approval by the institution's human research committee. The study included all preterm, term, and post-term infants delivered via both vaginal and cesarean methods. Exclusion criteria encompassed stillborn infants, those with intrauterine death (IUD), newborns with congenital anomalies, and infants whose mothers had a history of hypertension, hyperlipidemia, cardiovascular disease, diabetes (either pre-gestational or gestational), drug use during or prior to pregnancy (excluding vitamins, folic acid, and iron), or smoking. Birth weight was recorded using an electronic scale (Seca Medical Scales and Measurement Systems, Birmingham, United Kingdom). Newborns were categorized into five groups based on their birth weight: extremely low birth weight (≤1000 g; group 1), very low birth weight (≤1500 g; group 2), low birth weight (1500-2500 g; group 3), normal birth weight (2500-4000 g; group 4), and high birth weight (>4000 g; group 5). Additionally, the newborns were classified into term, preterm, and post-term groups. A sample of 3 ml of cord blood was collected from the placental end of the umbilical vein, and serum was separated through centrifugation. The serum lipid profiles were analyzed using an enzymatic method on an auto-analyzer (A25 biochemistry analyzer, Bio systems, Spain), which included measurements of total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and very low-density lipoprotein (VLDL) was calculated.[18]

 

RESULTS

This study has the large sample size, recruited 3157 newborns. Out of them, 1681 (53.2%) were boys and 1476 (46.76%) were girls.  In 1681 male babies, 113 (3.6%) babies are Preterm babies delivered before 37 weeks of gestation, 43 (1.4%) babies are Post-term babies delivered after 42 weeks of gestation, and 1525 (48.3%) babies are Term babies delivered between 38 to 41 weeks of gestation. In 1476 female babies, 108 (3.4%) babies are Preterm babies delivered before 37 weeks of gestation, 39 (1.2%) babies are Post-term babies delivered after 42 weeks of gestation, 1329 (42.1%) babies are term babies delivered between 38 to 41 weeks of gestation. Both male and female babies with Preterm are 221 (7.0%), Post-term are 82 (2.6%) and Term are 2854 (90.4%) Tab. 1 , Fig.1 .

 

Table. 1 Distribution of neonates with Gender v/s Gestational age

Gender

Gestational Age

Total

Mean

Standard Deviation

Standard Error

Preterm <37 Weeks

Post-term >42 Weeks

Term 38 to 41 Weeks

Male

113

(3.6)

43

(1.4)

1525

(48.3)

1681

(53.2)

2.84

0.519

0.013

Female

108

(3.4)

39

(1.2)

1329

(42.1)

1476

(46.8)

2.83

0.538

0.014

Total

221

(7.0)

82

(2.6)

2854

(90.4)

3157

(100.0)

2.83

0.528

0.009

Table.2 Chi-Square Test for Gender and Gestational age of the baby

 

Value

Df (Degree of freedom)

Asymptotic Significance (2-sided)

Pearson Chi-Square

0.459a

2

0.795

Likelihood Ratio

0.458

2

0.795

Linear-by-Linear Association

0.458

1

0.499

N of Valid Cases

3157

   

The Pearson Chi-Square significance is 0.795 which shows there is no significant difference between the gender and gestational age of the babies shown in Tab.2.

 

Table.3 Distribution of newborns with birth weights and gestational age (Extreme low birth weight (<1000gms) and N=18, Very low birth weight (>1000 – 1500gms) and N=38, Low birth weight (>1500 – 2500gms) and N=817, Normal weight (>2500 – 4000gms) and N=2275, Overweight (>4000gms) and N=9).

Birth Weight

Term

Total

Mean

Std.

deviation

Std error

Preterm <37 Weeks

Post-term >42 Weeks

Term 38 to 41 Weeks

0 to 1000 Grams(Extreme low birth weight)

16

0

2

18

 

 

 

(0.5)

(0.0)

(0.1)

(0.6)

1.22

0.647

0.152

1001 to 1500 Grams (Very low birth weight)

30

0

8

38

1.42

 

 

(1.0)

(0.0)

(0.3)

(1.2)

 

0.826

0.134

1501 to 2500 Grams (Low birth weight)

138

16

663

817

2.64

0.754

 

(4.4)

(0.5)

(21.0)

(25.9)

 

 

0.026

2501 to 4000 Grams (Normal weight)

37

65

2173

2275

 

 

 

(1.2)

(2.1)

(68.8)

(72.1)

2.94

0.300

0.006

  4001 to 5000 Grams (Overweight)

0

1

8

9

2.89

 

 

(0.0)

(0.0)

(0.3)

(0.3)

 

0.333

0.111

 

221

82

2854

3157

 

 

 

Total

(7.0)

(2.6)

(90.4)

(100.0)

2.83

0.528

0.009

Total 18 neonates were Extreme low birth weight (<1000 gms), in that 16 (0.5%) are Preterm, 0 (0.0%) are Post-term, 2 (0.1%) are term babies. Total 38 neonates were low birth weight (>1000 – 1500) babies, in that 30 (1.0%) are Preterm, 0 (0.0%) are Post-term, 8 (0.3%) are term babies. Total 817 neonates were low birth weight (>1500-2500) babies, in that 138 (4.4%) are Preterm, 16 (0.5%) are Post-term, 663 (21.0%) are term babies. Total 2275 neonates were normal birth weight (>2500 – 4000) babies, in that 35 (1.2 %) are Preterm, 65 (2.1%) are Post-term, 2173 (68.8 %) are term babies. Total 9 neonates were over birth weight (>4000) babies, in that 0 (0.0 %) are Preterm, 1 (0.0 %) are Post-term, 8 (0.3 %) are Term babies. Tab.3, Fig.2

Table. 4 Chi-Square Test for Birth Weight and gestational age of the baby

 

Value

Df (Degree of freedom)

Asymptotic Significance (2-sided)

Pearson Chi-Square

714.968a

8

0.000

Likelihood Ratio

432.081

8

0.000

Linear-by-Linear Association

514.471

1

0.000

N of Valid Cases

3157

 

 

The Pearson Chi-Square significance is 0.000 which shows there is a significant difference between the Birth Weight and gestational age of the babies. Tab.4.

 

Table.5 Statistics (Mean, Standard Deviation and Standard Error) of 3157 neonates Birth weight, Gestational age and Lipid Profiles.

 Particulars

N =3157

Mean

Std. Deviation

Std. Error

 
 

Birth Weight

Preterm <37 Weeks

221

2.8869

0.76328

0.05134

 

Post-term >42 Weeks

82

3.8171

0.41952

0.04633

 

Term 38 to 41 Weeks

2854

3.7628

0.44320

0.00830

 

Total

3157

3.7029

0.52241

0.00930

 

CHOL

Preterm <37 Weeks

221

81.1222

32.43271

2.18166

 

Post-term >42 Weeks

82

70.7439

21.17873

2.33880

 

Term 38 to 41 Weeks

2854

75.2754

27.66184

0.51779

 

Total

3157

75.5670

27.91763

0.49687

 

TGL

Preterm <37 Weeks

221

89.1041

172.16750

11.58124

 

Post-term >42 Weeks

82

61.9634

40.09970

4.42827

 

Term 38 to 41 Weeks

2854

68.4509

78.72423

1.47361

 

Total

3157

69.7282

87.97370

1.56573

 

HDL

Preterm <37 Weeks

221

24.4425

16.16246

1.08720

 

Post-term >42 Weeks

82

21.4695

14.46316

1.59719

 

Term 38 to 41 Weeks

2854

22.9379

13.16955

0.24652

 

Total

3157

23.0051

13.43779

0.23916

 

LDL

Preterm <37 Weeks

221

38.8588

37.02789

2.49077

 

Post-term >42 Weeks

82

36.8817

24.62004

2.71883

 

Term 38 to 41 Weeks

2854

38.6510

26.25809

0.49151

 

Total

3157

38.6196

27.10178

0.48235

 

VLDL

Preterm <37 Weeks

221

17.8208

34.43350

2.31625

 

Post-term >42 Weeks

82

12.3927

8.01994

0.88565

 

Term 38 to 41 Weeks

2854

13.6902

15.74485

0.29472

 

Total

3157

13.9456

17.59474

0.31315

 

One way ANOVA: The average mean birth weights of Preterm neonates were 2.8869 with standard deviation of 0.76328 and standard error 0.05134. For Post-term neonates, mean value was 3.8171 with standard deviation of 0.41952 and standard error 0.04633. For term neonates, mean value was 3.7628 with standard deviation of 0.44320 and standard error 0.00830.The average mean value of cholesterol in Preterm neonates was 81.1222 with standard deviation of 32.43271 and standard error 2.18166. For Post-term neonates, mean value was 70.7439 with standard deviation of 21.17873 and standard error 2.33880.For term neonates, mean value was 75.2754 with standard deviation of 27.66184 and standard error 0.51779. The average mean value of Triglycerides (TGL) in Preterm neonates was 89.1041 with standard deviation of 172.16750 and standard error 11.58124. For Post-term neonates, mean value was 61.9634 with standard deviation of 40.09970 and standard error 4.42827. For term neonates, mean value was 68.4509 with standard deviation of 78.72423 and standard error 1.47361. The average mean values of High Density Lipoproteins (HDL) in Preterm neonates were 24.4425 with standard deviation of 16.16246 and standard error 1.08720. For Post-term neonates, mean value was 21.4695 with standard deviation of 14.46316 and standard error 1.59719. For term neonates, mean value was 22.9379 with standard deviation of 13.16955 and standard error 0.24652. The average mean value of Low Density Lipoproteins (LDL) in Preterm neonates was 38.8588 with standard deviation of 37.02789 and standard error 2.49077. For Post-term neonates, mean value was 36.8817 with standard deviation of 24.62004 and standard error 2.71883. For term babies, mean value is 38.6510 with standard deviation of 26.25809 and standard error 0.49151. The average mean value of Very Low Density Lipoproteins (VLDL) in Preterm babies is 17.8208 with standard deviation of 34.43350 and standard error 2.31625. For Post-term babies, mean value is 12.3927 with standard deviation of 8.01994 and standard error 0.88565. For

term babies, mean value is 13.6902 with standard deviation of 15.74485 and standard error 0.29472 in Tab.5, Fig.3.

Tab.6 Chi-Square Test for cord blood lipid profile and gestational age of the baby Test of Homogeneity of Variances

 

Levene Statistic

df1(Degree of freedom)

df2(Degree of freedom)

Sig.

Gender

.455

2

3154

0.634

Birth Weight

29.404

2

3154

0.000

CHOL

9.295

2

3154

0.000

TGL

10.405

2

3154

0.000

HDL

3.827

2

3154

0.022

LDL

12.573

2

3154

0.000

VLDL

10.405

2

3154

0.000

Test of homogeneity of variances indicates there is no significant difference between the gender and gestational age of the baby where as in accordance with birth weight and cord-blood lipids, it shows a significant difference among the groups in Tab.6.

 

Table.7 Comparison of our study with different studies with respect of gender.

Gender

 

Articles

Mean total Cholesterol +/- SD

Mean total Triglycerides +/- SD

Mean total HDL-C

+/- SD

Mean total

LDL-C

+/- SD

Mean total

VLDL-C

+/- SD

MALES

 

Present study

(N=1681)

74.3557+/-

27.51077

70.5998+/-

84.64512

22.7098+/-

14.04256

37.5322+/-

26.20605

14.1200+/-

16.92902

1(28)

(N =99)

79.5 (19.2)

69.8 (20.2)

30.7 (2.4)

34.5 (16.9

13.8 (4.0)

2(29)

(N=44)

113.4±42.03

115.4±52.36

30.48±9.63

58.91±27.85

22.70±10.35

3(32)

(N=286)

81.8 ± 27.6

63.4 ± 44.5

31.8 ± 15.5

147.6 ± 97.2 1

187.9 ± 177.4

FEMALES

Present study

(N=1476)

76.9465+/-

28.32016

68.7354+/-

91.63622

23.3414+/-

12.71043

39.8580+/-

28.04475

13.7471+/-

18.32724

1(28)

(N=104)

82.1 (21.1)

72.5 (25.6)

31.1 (2.5)

36.1 (18.5)

14.3 (5.0)

2(29)

(N=46)

99.87±30.53

111.8±41.46

27.24±7.89

49.13±19.72

22.07±8.31

3(32)

(N=218)

86.5 ± 28.6

66.5 ± 42.4

33.4 ± 14.5

154.4 ± 103.6

199.2 ± 172.2

 

 

Table.8 Comparison of our study with different studies with respect to birth weights.

Birth weights

Articles

Mean total Cholesterol +/- SD

Mean total Triglycerides +/- SD

Mean total HDL-C

+/- SD

Mean total

LDL-C

+/- SD

Mean total

VLDL-C

+/- SD

LOW BIRTH WEIGHT

≤2500gms

Present study

(N=873)

76.73562 +/- 31.62295

 

79.6492+/- 105.8925

 

22.40184 +/- 13.18609

 

38.403941+/- 29.7576377

 

15.9298409 +/- 21.1785007

 

1 (28)

(N=54)

85.2 (22.1)

81.1 (33.0)

30.4 (3.0)

38.4 (17.2)

16 (6.5)

2 (35)

(N=31)

97.74 ± 29.2

94.32 ± 41.55

23.52 ± 10.2

54.52 ± 20.51

21.55 ± 16.62

NORMAL BIRTH WEIGHT

 ≥ 2501 to 4000 gms

 

Present study

(N=2275)

75.03385 +/- 26.30264

 

64.71051+/- 67.89805

 

23.16602 +/- 13.43053

 

38.93034+/- 25.32663

 

12.9421011 +/- 13.5796101

 

1 (28)

(N=98)

75.4 (15.6)

62.8 (13.9)

30.9 (2.1)

31.5 (14.4)

12.5 (2.7)

2  (35)

(N=74)

58.62 ± 13.11

44.86 ± 19.14

19.38 ± 6.41

28.46 ± 8.76

10.53 ± 4.33

HIGH BIRTH WEIGHT

≥ 4001 to 5000 gms

Present study

(N=9)

73.77778 +/- 17.23933

 

81.88889 +/- 48.87086

 

28.63333+/- 16.80193

 

28.766666+/- 17.3669226

 

16.3777778+/- 9.77417232

 

1 (28)

(N=51)

86.7 (23.5)

76.7 (18.7)

31.6 (2.3)

39.4 (22.3)

15.1 (3.7)

 

Tab.9 Comparison of our study with different studies with respect to Gestational age.

Gestational age

Articles

Mean total Cholesterol +/- SD

Mean total Triglycerides +/- SD

Mean total HDL-C

+/- SD

Mean total

LDL-C

+/- SD

Mean total

VLDL-C

+/- SD

TERM

 

Present study

(N=2854)

75.2754±

27.66184

68.4509±

78.72423

22.9379±

13.16955

38.6510±

26.25809

13.6902±

15.74485

1 (29)

(N=61)

94.28±3.598

101.3±4.488

26.26±0.8525

46.97±2.459

20.00±0.9011

2 (32)

(N=462)

82.2 ± 26.9

64.5 ± 42.7

32.4 ± 15.2

148.6 ± 64.0

179.0 ± 162.3

3 (34)

(N=72)

72.51±26.28

47.03±27.48

25.84±8.27

37.26±18.51

-

PRETERM

Present study

 

(N=221)

81.1222±

32.43271

89.1041±

172.16750

 

24.4425±

16.16246

38.8588±

37.02789

17.8208±

 

34.43350

1 (29)

(N=29)

132.1±7.565

139.4±10.72

34.21±1.961

68.52±5.176

27.38±2.129

2 (32)

(N=42)

101.6 ± 34.1

67.9 ± 53.0

33.8 ± 14.0

172.1 ± 87.5

340.0 ± 237.3

3 (34)

(N=10)

93.42±41.19

61.69±34

28.93±9.29

53.66±29.35

-

POST-TERM

Present study

(N=82)

70.7439±

21.17873

61.9634±

40.09970

 

21.4695±

14.46316

 

36.8817±

24.62004

 

12.3927±

8.01994

 

1 (29)

(N=0)

-

-

-

-

-

2 (32)

(N=)

-

-

-

-

-

3 (34)

(N=88)

104.57±34.37

66.90±34.09

28.93±9.29

62.25±24.63

 

DISCUSSION

Lipid profiles are recognized as significant risk factors for cerebrovascular accidents (CVA) and strokes, demonstrating a direct relationship between lipid profile abnormalities and the incidence of cardiovascular morbidity and mortality. The plasma lipid profile present in cord blood serves as an indicator of the lipid metabolism occurring in the infant at birth. The majority of lipids are synthesized de novo through the conversion of glucose into various fatty acids, with only a portion derived from placental circulation. Therefore, assessing the lipid profile in cord blood provides a reliable measure of lipid metabolism in newborns. [1] The current study revealed that preterm infants exhibited the highest concentrations of cord blood lipid profiles.

 

Donegá et al. reported that the levels of total cholesterol, LDL-C, and HDL-C in cord blood were significantly elevated in preterm infants, while triglyceride levels were lower in this group. [23] Some results from the present study align with previous research indicating that cord blood cholesterol levels are higher in preterm infants compared to term infants. [24] Pardo et al. also found that total cholesterol, LDL-C, and HDL-C levels in cord blood were greater in preterm neonates than in term neonates, with statistically significant differences noted for total cholesterol and LDL-C, although the difference for HDL-C was not significant.[25] This phenomenon may be attributed to reduced activity of lipoprotein lipase, hepatic lipase, and lecithin cholesterol acyltransferase enzymes in preterm newborns, which could lead to increased lipoprotein concentrations compared to term infants. [26] These findings should be taken into account when considering infant nutrition and preventive health measures in Tab.7,8,9.

 

Statistical analysis: Data were analyzed with MS Excel and SPSS Version 23.0 (IBM Corp. Released 2015.IBM SPSS Statistics for Windows. Armonk, NY: IBM Corp) Results were expressed as mean± SD. The Chi square and p-values were calculated to make statistical comparisons. P value < 0.005 was considered statistically significant

CONCLUSION

As per the above mentioned results of term neonates (n= 2854), the study conclude that the standard cord-blood lipid profile of term (>37 to 41 weeks) babies were cholesterol 75.2754. TGL 68.4509, HDL 22.9379, LDL 38.6510 VLDL 13.6902 (Tab.5). The study conclude that the standard cord-blood lipid profile of normal birth weight ( ≥ 2500 gms to 4000 gms) were cholesterol 75.03385, TGL 64.71051, HDL 23.16602, LDL 38.93034VLDL 12.9421011 (Tab.7) The study also showed the fluctuations of lipid profile in Preterm and Post-term neonates (Fig no - 3) indicates the risk of obesity and CVDs in comparison with literatures. The study urges the preventive measures to minimize the low birth weight labor/Preterm with adequate nutritional supplementations to the mothers during the gestational age and life style modifications of mothers. This also base for the long cohort studies to be observe the life style of preterm, term and Post-term neonates for next 20 years to prone for various morbidities.

Acknowledgment

We acknowledge the support of the admitted babies and the parents for making this study successful. We also acknowledge all the nurses and other paramedical staffs in the Govt maternity hospital and Govt.General Hospital for helping in data collection and giving the inputs. We are thankful to DHR; GOVT of India provided MRU facility to our Institution.

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