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| PMID |
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| TITLE |
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| Atypical depression is associated with a distinct clinical, neurobiological, treatment response and polygenic risk profile. |
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| ABSTRACT |
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| BACKGROUND |
NlmCategory: UNASSIGNED |
| Atypical depression is considered a distinct clinical subtype of major depression, yet its predictive validity and clinical utility remain contested. We investigated association between atypical depression and clinical characteristics, genetic profiles, and antidepressant responses. |
| METHODS |
NlmCategory: UNASSIGNED |
| Atypical depression is considered a distinct clinical subtype of major depression, yet its predictive validity and clinical utility remain contested. We investigated association between atypical depression and clinical characteristics, genetic profiles, and antidepressant responses. Among 14,897 participants from the Australian Genetics of Depression Study (75% female; mean age 43.7 years), 3,098 (21%) were classified phenotypically as having "atypical depression" based on self-reported weight gain and hypersomnia during their worst depressive episode. Demographics and clinical features were compared. Bonferroni-corrected regression models assessed associations between atypical depression and polygenic scores (PGS) for mental disorders, metabolic-inflammatory-circadian traits, and self-reported antidepressant response and side effects. |
| RESULTS |
NlmCategory: UNASSIGNED |
| Atypical depression is considered a distinct clinical subtype of major depression, yet its predictive validity and clinical utility remain contested. We investigated association between atypical depression and clinical characteristics, genetic profiles, and antidepressant responses. Among 14,897 participants from the Australian Genetics of Depression Study (75% female; mean age 43.7 years), 3,098 (21%) were classified phenotypically as having "atypical depression" based on self-reported weight gain and hypersomnia during their worst depressive episode. Demographics and clinical features were compared. Bonferroni-corrected regression models assessed associations between atypical depression and polygenic scores (PGS) for mental disorders, metabolic-inflammatory-circadian traits, and self-reported antidepressant response and side effects. Atypical depression cases had an earlier age of onset, greater illness severity, stronger eveningness and reduced daylight exposure. Atypical depression cases had higher PGS for major depressive disorder (odds ratio [OR]=1.10 [95%CI: 1.06-1.15]), attention-deficit/hyperactivity disorder (OR=1.08 [1.04-1.13]), bipolar disorder (OR= 1.07 [1.02-1.12]), neuroticism (OR=1.07 [1.02-1.12]), BMI (OR=1.35 [1.29-1.42]), Type 2 diabetes (OR=1.22 [1.16-1.28]), C-reactive protein (OR=1.12 [1.07-1.17]), and insulin resistance (OR=1.11 [1.06-1.16]) but lower PGS for HDL cholesterol (OR=0.91 [0.87-0.95]) and chronotype (indicating eveningness; OR=0.94 [0.90-0.98]). Atypical depression was associated with poorer efficacy of selective serotonin reuptake inhibitors (OR=0.88 [0.81-0.96]) and serotonin-norepinephrine reuptake inhibitors (OR=0.85 [0.77-0.94]), along with more side effects, particularly weight gain (OR=2.89 [2.66-3.15]). |
| CONCLUSIONS |
NlmCategory: UNASSIGNED |
| Atypical depression is considered a distinct clinical subtype of major depression, yet its predictive validity and clinical utility remain contested. We investigated association between atypical depression and clinical characteristics, genetic profiles, and antidepressant responses. Among 14,897 participants from the Australian Genetics of Depression Study (75% female; mean age 43.7 years), 3,098 (21%) were classified phenotypically as having "atypical depression" based on self-reported weight gain and hypersomnia during their worst depressive episode. Demographics and clinical features were compared. Bonferroni-corrected regression models assessed associations between atypical depression and polygenic scores (PGS) for mental disorders, metabolic-inflammatory-circadian traits, and self-reported antidepressant response and side effects. Atypical depression cases had an earlier age of onset, greater illness severity, stronger eveningness and reduced daylight exposure. Atypical depression cases had higher PGS for major depressive disorder (odds ratio [OR]=1.10 [95%CI: 1.06-1.15]), attention-deficit/hyperactivity disorder (OR=1.08 [1.04-1.13]), bipolar disorder (OR= 1.07 [1.02-1.12]), neuroticism (OR=1.07 [1.02-1.12]), BMI (OR=1.35 [1.29-1.42]), Type 2 diabetes (OR=1.22 [1.16-1.28]), C-reactive protein (OR=1.12 [1.07-1.17]), and insulin resistance (OR=1.11 [1.06-1.16]) but lower PGS for HDL cholesterol (OR=0.91 [0.87-0.95]) and chronotype (indicating eveningness; OR=0.94 [0.90-0.98]). Atypical depression was associated with poorer efficacy of selective serotonin reuptake inhibitors (OR=0.88 [0.81-0.96]) and serotonin-norepinephrine reuptake inhibitors (OR=0.85 [0.77-0.94]), along with more side effects, particularly weight gain (OR=2.89 [2.66-3.15]). This large genetically-informative study supports the neurobiological and clinical validity of atypical depression, demonstrating distinct clinical and genetic risk profiles alongside differential antidepressant responses. These support utilizing the atypical subtype to guide treatment selection and physical health management. |
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| DATE PUBLISHED |
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| HISTORY |
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| PUBSTATUS |
PUBSTATUSDATE |
| medline |
2025/09/19 06:33 |
| pubmed |
2025/09/19 06:32 |
| entrez |
2025/09/19 05:10 |
| pmc-release |
2025/09/17 |
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| AUTHORS |
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| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Shin M |
|
Shin |
Mirim |
M |
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| Crouse JJ |
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Crouse |
Jacob J |
JJ |
|
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| Lin T |
|
Lin |
Tian |
T |
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| Byrne EM |
|
Byrne |
Enda M |
EM |
|
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| Mitchell BL |
|
Mitchell |
Brittany L |
BL |
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| Lind PA |
|
Lind |
Penelope A |
PA |
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| Parker R |
|
Parker |
Richard |
R |
|
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| Mckenna S |
|
Mckenna |
Sarah |
S |
|
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| Tonini E |
|
Tonini |
Emiliana |
E |
|
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| Carpenter JS |
|
Carpenter |
Joanne S |
JS |
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| Merikangas KR |
|
Merikangas |
Kathleen R |
KR |
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| Wray NR |
|
Wray |
Naomi R |
NR |
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| Medland SE |
|
Medland |
Sarah E |
SE |
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| Martin NG |
|
Martin |
Nicholas G |
NG |
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| Hickie IB |
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Hickie |
Ian B |
IB |
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| JOURNAL |
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| VOLUME: |
| ISSUE: |
| TITLE: medRxiv : the preprint server for health sciences |
| ISOABBREVIATION: medRxiv |
| YEAR: 2025 |
| MONTH: Aug |
| DAY: 07 |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Internet |
| ISSN: |
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| MEDLINE JOURNAL |
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| MEDLINETA: medRxiv |
| COUNTRY: United States |
| ISSNLINKING: |
| NLMUNIQUEID: 101767986 |
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| PUBLICATIONTYPE TEXT |
| Journal Article |
| Preprint |
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