| Literature DB >> 35572776 |
Ranpiao Gan1, Yanyan Wei1, Jijun Wang1,2,3, Tianhong Zhang1, Guisen Wu1, Jiahui Zeng1, Yegang Hu1, Lihua Xu1, Xiaochen Tang1, Xiaohua Liu1, Haichun Liu4, Tao Chen5.
Abstract
Background: Impaired sensitivity of the skin flush response to niacin is one of the most replicated findings in patients with schizophrenia. However, prior studies have usually focused on postonset psychosis, and little is known about the clinical high-risk (CHR) phase of niacin sensitivity in psychosis. Aims: To profile and compare the niacin flush response among CHR individuals (converters and non-converters), patients with first-episode schizophrenia (FES) and healthy controls (HCs).Entities:
Keywords: schizophrenia
Year: 2022 PMID: 35572776 PMCID: PMC9039376 DOI: 10.1136/gpsych-2022-100748
Source DB: PubMed Journal: Gen Psychiatr ISSN: 2517-729X
Figure 1The mechanism of niacin-induced skin flushing. AA, arachidonic acid; COX, cyclo-oxygenase; Ca2+, calcium; PGD2, prostaglandin D2; PGE2, prostaglandin E2; PGG2, prostaglandin G2; PGH2, prostaglandin H2; PLA2, phospholipase A2.
Figure 2Flowchart showing study subjects selection. CHR, clinical high risk; FES, first-episode schizophrenia; HC, healthy controls.
Demographic and clinical variables, comparison among FES, CHR and HC groups
| FES | CHR | HC | Comparison | |
| F/χ2 (P value) | ||||
| Cases, n | 57 | 105 | 52 | – |
| Demographic variables | ||||
| Age (year), mean (SD) | 24.4 (8.5) | 18.3 (4.8) | 27.3 (9.2) | F=31.5 (<0.001) |
| Male, n (%) | 30 (52.6) | 46 (43.8) | 26 (50.0) | χ2=1.303 (0.521) |
| Education (year), mean (SD) | 11.8 (3.2) | 10.3 (2.8) | 16.2 (5.7) | F=41.2 (<0.001) |
| Height (cm), mean (SD) | 168.1 (7.2) | 167.1 (8.0) | 167.0 (7.4) | F=0.4 (0.664) |
| Weight (kg), mean (SD) | 59.5 (9.9) | 58.1 (11.4) | 61.3 (9.7) | F |
| BMI (kg/m2) | 21.0 (3.3) | 20.7 (3.4) | 21.9 (2.6) | F=2.4 (0.093) |
| PANSS variables | ||||
| PANSS_P | 22.8 (5.5) | – | – | – |
| PANSS_N | 16.9 (8.1) | – | – | – |
| PANSS_G | 44.2 (6.9) | – | – | – |
| PANSS_TOTAL | 83.8 (15.1) | – | – | – |
| SIPS variables | ||||
| SIPS_P | – | 10.5 (3.4) | – | – |
| SIPS_N | – | 12.1 (5.7) | – | – |
| SIPS_D | – | 6.5 (2.8) | – | – |
| SIPS_G | – | 9.6 (2.8) | – | – |
| SIPS_TOTAL | – | 38.0 (10.1) | – | – |
BMI, body mass index; CHR, clinical high risk; FES, first-episode schizophrenia; HC, healthy control; PANSS, Positive and Negative Syndrome Scale; PANSS_G, scores of general psychopathology scale in PANSS; PANSS_N, scores of negative symptoms scale in PANSS; PANSS_P, scores of positive symptoms scale in PANSS; PANSS_TOTAL, total scores of PANSS; SD, standard deviation; SIPS, Structured Interview for Prodromal Syndromes; SIPS-D, scores of disorganisation symptoms scale in SIPS; SIPS_G, scores of general symptoms scale in SIPS; SIPS_N, scores of negative symptoms scale in SIPS; SIPS_P, scores of positive symptoms scale in SIPS; SIPS_TOTAL, total scores of SIPS.
Figure 3A dot and line figure of means of the flush scores in niacin skin tests at four concentrations of AMN and at each time point in HCs, subjects with CHR and patients with FES. Note: Differences in the flush scores in niacin skin were presented. P values were calculated by MANOVA with age and education as covariates. AMN, aqueous methylnicotinate; CHR, clinical high risk; FES, first-episode schizophrenia; HCs, healthy controls; MANOVA, multivariate analysis of variance.
Baseline demographic and SIPS variables, comparison between converters and non-converters.
| Variables | Lost | Converters | Non-converters | Comparison | |
| T/Z/χ2 | P value | ||||
| Cases, n | 21 | 16 | 68 | – | – |
| Demographic variables | |||||
| Age (year), mean (SD) | 17.7 (3.8) | 19.4 (5.5) | 18.2 (4.9) | t=0.886 | 0.378 |
| Male, n (%) | 9 (42.9) | 11 (68.8) | 26 (38.2) | χ2=4.894 |
|
| Female, n (%) | 12 (57.1) | 5 (31.3) | 42 (61.8) | ||
| Education (year), mean (SD) | 9.5 (1.9) | 10.6 (2.4) | 10.5 (3.1) | t=0.022 | 0.982 |
| Height (cm), mean (SD) | 170.0 (9.8) | 168.9 (7.9) | 165.8 (7.2) | t=1.517 | 0.133 |
| Weight (kg) (mean (SD)) | 61.3 (14.6) | 58.5 (14.3) | 56.9 (9.3) | t=0.553 | 0.582 |
| BMI (kg/m2) | 21.1 (3.9) | 20.4 (4.2) | 20.7 (3.0) | t=0.361 | 0.719 |
| If antipsychotic taken (n (%)) | – | 13 (81.3) | 42 (61.8) | χ | 0.140 |
| Dose | – | 6.4 (2.7) | 7.8 (4.6) | t=1.101 | 0.276 |
| SIPS variables | |||||
| Before GAF (mean (SD)) | 78.7 (4.3) | 77.2 (3.8) | 79.7 (2.4) | t=3.242 |
|
| Now GAF (mean (SD)) | 56.1 (5.7) | 53.1 (5.9) | 57.7 (5.6) | t=2.897 |
|
| GAF drop (mean (SD)) | 22.8 (5.9) | 24.1 (5.3) | 21.4 (5.3) | t=1.736 | 0.087 |
| SIPS_P (median, mean (SD)) | 10,10.7 (3.1) | 11, 11.3 (3.6) | 10,10.2 (3.6) | Z=1.040 | 0.302 |
| SIPS_N (median, mean (SD)) | 12,12.4 (6.5) | 13,13.7 (4.9) | 11,11.6 (5.6) | Z=1.356 | 0.179 |
| SIPS_D (median, mean (SD)) | 6,6.4 (3.0) | 7, 7.3 (2.4) | 7,6.4 (2.8) | Z=1.267 | 0.209 |
| SIPS_G (median, mean (SD)) | 9,9.2 (3.9) | 10,10.2 (2.0) | 10,9.5 (2.5) | Z=1.011 | 0.315 |
| SIPS_TOTAL (median, mean (SD)) | 40,39.2 (12.5) | 42,42.3 (6.8) | 35,36.2 (9.7) | Z=2.333 |
|
Dose of antipsychotics was measured using an olanzapine-equivalent dose of antipsychotics.
BMI, body mass index; GAF, Global Assessment of Functioning; GAF drop, GAF baseline score that drops from highest in the past year; SD, standard deviation; SIPS, the Structured Interview for Prodromal Syndromes; SIPS_D, scores of disorganisation symptoms scale in SIPS; SIPS_G, scores of general symptoms scale in SIPS; SIPS_N, scores of negative symptoms scale in SIPS; SIPS_P, scores of positive symptoms scale in SIPS; SIPS_TOTAL, total scores of SIPS; t/Z/χ2, t for independent t test, Z for Mann-Whitney U test (non-parametrical test), χ2 for κ test.
Figure 4A dot and line figure of means of the flush scores in niacin skin tests at four concentrations of AMN and at each time point in converters and non-converters for subjects with CHR. Note: Differences between converters and non-converters in the flush scores in niacin skin were presented. P values were calculated by the MANOVA test. AMN, aqueous methylnicotinate; CHR, clinical high risk; MANOVA, multivariate analysis of variance.