Back

Immunological Signatures During Type 2 Diabetes Development and Progression among Mexican Americans in Starr County, Texas

Biguetti, C. C.; Chaves-Neto, A. H.; Elvin, P.; La Fontaine, J.; Brown, E. L.; Hanis, C. L.; Fakhouri, W. D.

2025-06-24 endocrinology
10.1101/2025.06.23.25329883 medRxiv
Show abstract

Previous studies implicate immune dysregulation in the metabolic changes accompanying obesity and type 2 diabetes. This study investigated the interplay between metabolic and immunological parameters during the progression of type 2 diabetes in an obese Mexican American cohort from Starr County, Texas. Individuals matched for age, gender, and BMI were stratified into five categories: diabetes-free, isolated impaired glucose tolerance, combined glucose impairment (fasting or post-load), type 2 diabetes without complications, and type 2 diabetes with lower extremity complications. Buffy samples were analyzed via Luminex Multiplex Assay for IL-4, IL-17A, MCP-1, and HMGB1. HMGB1 levels were significantly elevated in individuals with prediabetes and the combined glucose intolerance group compared to the diabetes-free group and those with diabetes. Elevated HMGB1 levels positively correlated with Homeostatic Model Assessment (HOMA) for insulin resistance (p = 0.03) and showed a moderate negative correlation with insulin sensitivity (p = 0.060). IL-17A levels were elevated in the diabetes group without complications compared to those with combined glucose impairment. The combined diabetes group exhibited the poorest glycemic control. In summary, HMGB1 is a potential early marker of insulin resistance and diabetes progression in Mexican Americans from an underserved community. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=98 SRC="FIGDIR/small/25329883v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@5a7dd3org.highwire.dtl.DTLVardef@fac385org.highwire.dtl.DTLVardef@13a89aforg.highwire.dtl.DTLVardef@2548ff_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Frontiers in Endocrinology
53 papers in training set
Top 0.1%
28.5%
2
BMJ Open Diabetes Research & Care
15 papers in training set
Top 0.1%
10.4%
3
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 0.2%
6.5%
4
Diabetes
53 papers in training set
Top 0.3%
3.2%
5
PLOS ONE
4510 papers in training set
Top 42%
3.2%
50% of probability mass above
6
Metabolites
50 papers in training set
Top 0.3%
2.8%
7
Journal of Racial and Ethnic Health Disparities
11 papers in training set
Top 0.1%
2.8%
8
Obesity
19 papers in training set
Top 0.2%
2.7%
9
Diabetes, Obesity and Metabolism
17 papers in training set
Top 0.2%
2.4%
10
eLife
5422 papers in training set
Top 33%
2.4%
11
Frontiers in Nutrition
23 papers in training set
Top 0.6%
1.9%
12
Metabolism
14 papers in training set
Top 0.1%
1.8%
13
Diabetes Care
12 papers in training set
Top 0.2%
1.7%
14
Biology
43 papers in training set
Top 0.7%
1.7%
15
Frontiers in Physiology
93 papers in training set
Top 3%
1.7%
16
Diabetologia
36 papers in training set
Top 0.6%
1.5%
17
Current Developments in Nutrition
15 papers in training set
Top 0.6%
1.4%
18
iScience
1063 papers in training set
Top 19%
1.4%
19
eBioMedicine
130 papers in training set
Top 3%
1.0%
20
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.7%
0.9%
21
Frontiers in Pharmacology
100 papers in training set
Top 4%
0.9%
22
International Journal of Obesity
25 papers in training set
Top 0.5%
0.8%
23
Journal of Clinical Medicine
91 papers in training set
Top 6%
0.8%
24
Biochemical and Biophysical Research Communications
78 papers in training set
Top 1%
0.8%
25
Biomedicines
66 papers in training set
Top 2%
0.8%
26
Microbiology Spectrum
435 papers in training set
Top 5%
0.8%
27
Scientific Reports
3102 papers in training set
Top 74%
0.8%
28
Molecular Metabolism
105 papers in training set
Top 2%
0.7%
29
PeerJ
261 papers in training set
Top 17%
0.7%
30
JMIR Public Health and Surveillance
45 papers in training set
Top 4%
0.7%