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Table 2 Binary logistic regression analysis using type 2 diabetes as dependent variable

From: Linking a role of lncRNAs (long non-coding RNAs) with insulin resistance, accelerated senescence, and inflammation in patients with type 2 diabetes

 

Unadjusted

Adjusted for age and BMI

Adjusted for HOMA-IR

Adjusted for senescence markers (GLB, P53, P21, P16, and TL)

Adjusted for inflammatory markers (TNF-α, IL6, MCP1, IL1-β, and SOCS3)

β

p

β

p

β

p

β

p

β

p

PLUTO

1.721

0.005

1.827

0.003

23.673

0.063

1.848

0.210

2.204

0.025

ENST00000550337.1

2.023

0.004

1.925

0.013

2.984

0.132

33.73

0.184

4.026

0.038

CDKN2BAS1

3.173

0.006

4.925

0.002

4.188

0.068

2.741

0.100

2.995

0.044

lincRNA-p21

1.867

0.021

1.970

0.033

3.492

0.096

2.283

0.311

6.395

0.013

HOTAIR

4.348

0.001

5.256

0.001

2.556

0.342

1.651

0.524

8.125

0.015

GAS5

10.642

0.001

14.054

0.001

20.820

0.226

22.512

0.128

12.214

0.069

XIST

0.388

0.003

3.824

0.004

3.677

0.145

2.318

0.386

3.166

0.024

PANDA

7.960

0.003

15.737

0.002

30.052

0.041

27.726

0.151

3.548

0.253

NBR2

2.045

0.041

1.728

0.159

1.496

0.522

1.869

0.443

2.675

0.141

RNCR3

1.464

0.144

1.650

0.065

1.795

0.394

1.582

0.410

1.740

0.225

MIAT

6.591

0.002

5.293

0.012

8.383

0.235

8.753

0.181

5.388

0.118

MEG3

5.669

0.013

6.444

0.017

17.060

0.141

12.830

0.063

57.903

0.023

LET

7.116

0.014

5.806

0.036

6.736

0.068

4.399

0.534

2.079

0.584

MALAT1

9.945

0.008

5.156

0.046

4.712

0.193

12.858

0.343

33.033

0.086

GM4419

2.468

0.104

2.142

0.242

3.254

0.232

4.832

0.293

1.937

0.433

SALRNA1

0.161

0.013

0.114

0.009

0.029

0.127

0.072

0.057

0.092

0.100

THRIL

0.047

0.001

0.529

0.001

0.013

0.084

0.063

0.139

0.333

0.271