Worry differentially affects the impact of placental growth factor on processing speed in older adults with amnestic Mild Cognitive Impairment

Abstract Background Placental growth factor (PIGF) is an angiogenic, pro‐inflammatory biomarker that is overexpressed in cardiovascular diseases. Recent literature has linked PIGF to the identification of cognitive impairment with white matter burden. Worry is associated with an increased risk for cardiovascular disease, accelerated aging and subsequent reduced brain volume, and decline in cognition. Given these associations, worry presents as a potential link to PIGF and cognitive impairments, though no research to date has examined its relationship to PIGF and cognition. Thus, current study aims to examine the possible moderating role of worry on PIGF and cognitive function (e.g., processing speed) in older adults with amnestic mild cognitive impairment (aMCI). Method Participants included sixty‐six community‐dwelling older Veterans (M age = 70.97 ± 8.66 years) who met criteria for aMCI. The sample was primarily male (95%), White (74%), and well‐educated (56% with bachelors or above). Composite scores reflective of processing speed were created using participants’ performances on the following measures: Symbol Digit Modalities Test, Stroop Color and Word subtests, and Trail Making Test A. Worry was measured by the Penn State Worry Questionnaire. Plasma PIGF levels were analyzed using SomaScan® disease‐specific panels. Hierarchical linear regressions were used to examine the moderating effect of worry on the relationship between PIGF and processing speed, while controlling for age. Result Results indicated an overall significant model F(4,61) = 8.28, p < .01, ΔR 2 = .03 and main effect of PIGF (β = ‐2.12e‐03, t = ‐2.28, p = .03) on processing speed. There was also a significant interaction between worry and PIGF (β = ‐1.30e‐04, t = ‐2.02, p < .05). Follow‐up analyses indicated a significant association between PIGF and processing speed in individuals with higher levels (+ 1 SD) of worry (β = ‐.01, t = ‐3.34, p < .01). Conclusion The current results present a novel finding that worry intensifies the inverse relationship of PIGF and processing speed. Importantly, the current study reinforces a biopsychological link to cognition and a more nuanced consideration when examining biomarkers and risk factors of cognitive impairment.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.089876
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Worry differentially affects the impact of placental growth factor on processing speed in older adults with amnestic Mild Cognitive Impairment

Peter Louras, Jovian C. Lam, J. Kaci Fairchild, Adriana Savettiere
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Worry differentially affects the impact of placental growth factor on processing speed in older adults with amnestic Mild Cognitive Impairment

Peter Louras, Jovian C. Lam, J. Kaci Fairchild, Adriana Savettiere
article en

Abstract

Abstract Background Placental growth factor (PIGF) is an angiogenic, pro‐inflammatory biomarker that is overexpressed in cardiovascular diseases. Recent literature has linked PIGF to the identification of cognitive impairment with white matter burden. Worry is associated with an increased risk for cardiovascular disease, accelerated aging and subsequent reduced brain volume, and decline in cognition. Given these associations, worry presents as a potential link to PIGF and cognitive impairments, though no research to date has examined its relationship to PIGF and cognition. Thus, current study aims to examine the possible moderating role of worry on PIGF and cognitive function (e.g., processing speed) in older adults with amnestic mild cognitive impairment (aMCI). Method Participants included sixty‐six community‐dwelling older Veterans (M age = 70.97 ± 8.66 years) who met criteria for aMCI. The sample was primarily male (95%), White (74%), and well‐educated (56% with bachelors or above). Composite scores reflective of processing speed were created using participants’ performances on the following measures: Symbol Digit Modalities Test, Stroop Color and Word subtests, and Trail Making Test A. Worry was measured by the Penn State Worry Questionnaire. Plasma PIGF levels were analyzed using SomaScan® disease‐specific panels. Hierarchical linear regressions were used to examine the moderating effect of worry on the relationship between PIGF and processing speed, while controlling for age. Result Results indicated an overall significant model F(4,61) = 8.28, p < .01, ΔR 2 = .03 and main effect of PIGF (β = ‐2.12e‐03, t = ‐2.28, p = .03) on processing speed. There was also a significant interaction between worry and PIGF (β = ‐1.30e‐04, t = ‐2.02, p < .05). Follow‐up analyses indicated a significant association between PIGF and processing speed in individuals with higher levels (+ 1 SD) of worry (β = ‐.01, t = ‐3.34, p < .01). Conclusion The current results present a novel finding that worry intensifies the inverse relationship of PIGF and processing speed. Importantly, the current study reinforces a biopsychological link to cognition and a more nuanced consideration when examining biomarkers and risk factors of cognitive impairment.

Alzheimer s & DementiaVol. 20(S2)
Palo Alto University (US), VA Palo Alto Health Care System (US), Mental Illness Research, Education and Clinical Centers (US), Stanford University (US)
Openalex Percentile: Top 65%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.