Abstract This cross-sectional study investigated the association of SNPs rs670 (C>T) and rs693 (G>A) with parameters of lipid metabolism and endothelial activation in 167 subjects, including 86 COVID-19 outpatients and 81 healthy subjects (control group) matched for sex and age. Serum levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), non-high-density lipoprotein cholesterol (non-HDL-c), triglycerides (TG), apolipoproteins (Apo A-I and B), and vascular cell adhesion molecule-1 (VCAM-1) were determined. The SNPs were genotyped by quantitative polymerase chain reaction (qPCR). A p -value<0.05 was assumed. COVID-19 outpatients showed increases in TC (187.0±48.3 vs . 160.8±32.0 mg/dL), LDL-c (110.3±41.5 vs . 98.8±28.2 mg/dL), non-HDL-c (138.3±45.8 vs . 115.6±31.6 mg/dL), TG (139.7±80.3 vs . 84.9±35.1 mg/dL), and Apo A-I (149.5±40.0 vs . 133.3±20.9 mg/dL), along with a high frequency of hypercholesterolemia and hypertriglyceridemia. VCAM-1 levels were double those of the control (682.7±231.8 vs. 299.3±102.9 ng/mL) and a strong predictor of COVID-19 (AUC=0.946). Moreover, VCAM-1 correlated with TC (r = -0.223) and HDL-c (r = -0.225). The decrease in TG and VCAM-1 is predicted by the dominance of the T allele (rs670) and its codominance with the A (rs693) allele in COVID-19 outpatients. COVID-19 has been shown to be associated with dyslipidemias and endothelial activation, and apolipoprotein polymorphisms may influence this. crosssectional cross sectional rs rs67 C>T CT C (C>T rs69 G>A GA G (G>A 16 8 COVID19 COVID 19 COVID-1 group age TC, , (TC) highdensity density HDLc, HDLc HDL c (HDL-c) lowdensity low LDLc, LDLc LDL (LDL-c) nonhighdensity non nonHDLc, nonHDLc (non-HDL-c) TG, (TG) AI I B, B B) molecule1 molecule 1 molecule- VCAM1 VCAM (VCAM-1 determined qPCR. qPCR (qPCR) value<0.05 value005 value 0 05 -value<0.0 assumed 187.0±48.3 1870483 187 48 3 (187.0±48. 1608320 160 32 160.8±32. mg/dL, mgdL mg/dL mg dL mg/dL) 110.3±41.5 1103415 110 41 5 (110.3±41. 988282 98 28 2 98.8±28. 138.3±45.8 1383458 138 45 (138.3±45. 1156316 115 6 31 115.6±31. 139.7±80.3 1397803 139 7 80 (139.7±80. 849351 84 9 35 84.9±35. 149.5±40.0 1495400 149 40 (149.5±40. 1333209 133 20 133.3±20. hypertriglyceridemia VCAM- 682.7±231.8 68272318 682 231 (682.7±231. 29931029 299 102 299.3±102. ng/mL ngmL ng mL AUC=0.946. AUC0946 AUC AUC=0.946 946 (AUC=0.946) Moreover r 0.223 0223 223 -0.223 0.225. 0225 0.225 225 -0.225) (rs670 (rs693 this rs6 COVID1 COVID- (TC (HDL-c (LDL-c (non-HDL-c (TG (VCAM- (qPCR value<0.0 value00 -value<0. 187.0±48. 187048 18 4 (187.0±48 160832 160.8±32 110.3±41. 110341 11 (110.3±41 98828 98.8±28 138.3±45. 138345 13 (138.3±45 115631 115.6±31 139.7±80. 139780 (139.7±80 84935 84.9±35 149.5±40. 149540 14 (149.5±40 133320 133.3±20 682.7±231. 6827231 68 23 (682.7±231 2993102 29 10 299.3±102 AUC094 AUC=0.94 94 (AUC=0.946 0.22 022 22 -0.22 -0.225 (rs67 (rs69 (VCAM value<0. value0 -value<0 187.0±48 18704 (187.0±4 16083 160.8±3 110.3±41 11034 (110.3±4 9882 98.8±2 138.3±45 13834 (138.3±4 11563 115.6±3 139.7±80 13978 (139.7±8 8493 84.9±3 149.5±40 14954 (149.5±4 13332 133.3±2 682.7±231 682723 (682.7±23 299310 299.3±10 AUC09 AUC=0.9 (AUC=0.94 0.2 02 -0.2 (rs6 value<0 -value< 187.0±4 1870 (187.0± 1608 160.8± 110.3±4 1103 (110.3± 988 98.8± 138.3±4 1383 (138.3± 1156 115.6± 139.7±8 1397 (139.7± 849 84.9± 149.5±4 1495 (149.5± 1333 133.3± 682.7±23 68272 (682.7±2 29931 299.3±1 AUC0 AUC=0. (AUC=0.9 0. -0. (rs value< -value 187.0± (187.0 160.8 110.3± (110.3 98.8 138.3± (138.3 115.6 139.7± (139.7 84.9 149.5± (149.5 133.3 682.7±2 6827 (682.7± 2993 299.3± AUC=0 (AUC=0. -0 187.0 (187. 160. 110.3 (110. 98. 138.3 (138. 115. 139.7 (139. 84. 149.5 (149. 133. 682.7± (682.7 299.3 AUC= (AUC=0 - 187. (187 110. (110 138. (138 139. (139 149. (149 682.7 (682. 299. (AUC= (18 (11 (13 (14 682. (682 (AUC (1 (68 ( (6

ABSTRACT Introduction: Heart rate control by the autonomic nervous system (ANS) is impaired in heart transplant (HT) recipients, leading to increased resting heart rate, metabolic demand, and fatigue, which can impair their quality of life (QoL). In this study, we hypothesized the association of hemodynamics and autonomic function as predictors of QoL in HT recipients. Methods: This is a cross-sectional study conducted with HT recipients aged ≥ 18 years at ambulatorial accompaniment. Blood pressure was used for hemodynamics assessment, and heart rate variability (HRV) was used for ANS assessment. QoL was assessed by the 36-item Short Form Health Survey. The significance level was set as P≤0.05. Results: Twenty-two volunteers were included in the study. Systolic blood pressure (SBP) and double product (DP) were significantly negatively associated with the physical functioning domain of QoL. DP, the number of consecutive normal RR interval differences > 50 ms (NN50), and the percentage of normal RR intervals that differed by > 50 ms from the adjacent interval (PNN50) exhibited negative association with the physical role domain. NN50 and PNN50 were significantly associated with bodily pain, social functioning, and emotional role domains. SBP was negatively associated with the vitality domain. Considering general and mental health domains, no variable demonstrated significant association. DP, NN50, and PNN50 were negatively associated with the total score of QoL. Conclusion: This study demonstrated DP and HRV as predictors of QoL in HT recipients. These innovative results can become a relevant therapeutic target for improving QoL in HT recipients prior to its deterioration. Introduction (ANS (HT demand fatigue . (QoL) Methods crosssectional cross sectional 1 accompaniment assessment (HRV 36item item 36 Survey P005 P 0 05 P≤0.05 Results Twentytwo Twenty two (SBP (DP 5 NN , (NN50) PNN (PNN50 NN5 PNN5 pain domains Conclusion deterioration (QoL 3 P00 P≤0.0 (NN50 (PNN5 P0 P≤0. (NN5 (PNN P≤0 (NN P≤