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Characterization of Potential Pathogenic Cladosporium Exposure Risks from Heating, Ventilation and Air Conditioning (HVAC) in Two Cities, China

Yi Luo1, Jie Li2,Xiuzhen Zhang3 and Weiwei Gao1*

1Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

2Fengtai Central for Disease Prevention and Control, Beijing, China

3Jiangsu Provincial Central for Disease Prevention and Control, Nanjing, China

*Corresponding Author:
Weiwei Gao
Institute of Medicinal Plant Development
Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
Tel: 86-010-57833423
E-mail:
[email protected]

Received Date: August 10, 2016; Accepted Date: September 29, 2016; Published Date: September 30, 2016

Citation: Luo Y, Li J, Zhang X. et al. Characterization of Potential Pathogenic Cladosporium Exposure Risks from Heating, Ventilation and Air Conditioning (HVAC) in Two Cities, China. Med Mycol Open Access. 2016, 2:18. doi: 10.21767/2471-8521.100018

Copyright: © 2016 Gao W, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 
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Abstract

Cladosporium is widespread in Heating, Ventilation and Air Conditioning (HVAC). Some species in which are responsible for the majority of fungal infections or allergy in humans. To assess the exposure risks of Cladosporium in HVAC to human health, the colony distribution, population constituent and pathogenic species identification of Cladosporium were investigated in current study. We selected two cities, Beijing and Nanjing, representing the North and South of China respectively, for the study. Three kinds of public places including hospitals, hotels and super markets were selected and 108 air samples from 18 sampling sites were collected from air supply outlets of HVAC in summer, 2012. The collecting plates were incubated at 28°C for 2-3 weeks. Purified fungal colonies were identified at the genus and species level based on morphological and DNA sequences. Internal transcribed spacer ITS1 and ITS2 region, partial gene sequences of the translation elongation facter1-α gene (EF-1α) and the actin gene (ACT) were used for phylogenetic analysis. Among all genera detected, Cladosporium was identified to have the widest prevalence (92.3%) from HVAC, which was detected from 100 of 108 air samples. 9 species of Cladosporium were identified viz. C. breviramosum, C. cladoporioides, C. cucumerinum, C. gossypiicola, C. macrocarpum, C. perangustum, C. sp., C. sphaerospermum and C. tenuissimum. Among of them, C. cladosporioides had the highest concentration and frequency, considered as predominant species in HVAC. There were three species, C. cladoporioides, C. sphaerospermum and C. macrocarpum, distributed as opportunistic pathogen to human reported before. The total frequency of the three species was 76.29% of this genus. What’s more, C. cladoporioides and C. sphaerospermum were detected in both cities with relatively high concentration and frequency. The frequency and prevalence rate in the South were higher than those in the North, suggesting that HVAC in the South was more susceptable to Cladosporium contamination.

 

Keywords

HVAC; Supply air; Cladosporium; Health risk; Public place

Introduction

Heating, Ventilation and Air Conditioning (HVAC) are commonly used in residential, commercial or industrial buildings to maintain comfortable and ambient temperature. To a large extent, indoor air quality (IAQ) depends on the supply air from HVAC. However, supply air is susceptible to microbial contamination. Fungi as an important contamination source attracted great attention in recent years [1-4]. Contamination fungi not only transport into the rooms through HVAC, but also can grow on air filters or pipes that may be released into indoor environment. They may lead to adverse health issues including infectious diseases, respiratory pathologies and allergic reactions [5,6].

.The continuous contact with airborne fungi through inhalation generally caused no particular effects for human health. However, certain fungi and their metabolites are well-known agents that contribute to human diseases. Cladosporium, which is considered as an ubiquitous genera, could be frequently isolated in air samples taken throughout the year and distributed in different countries [7,8]. Cladosporium species are human opportunistic pathogens except for some cases of immunecompromised patients, but they are unlikely to have equal effects on health outcomes [9]. This genus comprises over 20 species as pathogens and allergen with clinical importance [7]. For instance, C. cladosporioides, which is widely distributed in the air, is reported to occasionally infect the lung, skin, eyes and brain of human, causing allergic mycoses [10].

Different geographical locations may be conducive to the presence of different fungi species. The climatic environment surrounding the buildings that equipped with HVAC impacts the background fungal concentrations [11,12]. The examination and characterization of typical fungal distributions at different geographical locations can be helpful for the clinical targeted prevention of allergic diseases.

Fungal spores, especially those of ascomycetes that include airborne fungi, comprise a large proportion of PM2.5 [13]. Particulate Matters (PM) is considered as one of the main evaluation indexes of air quality, mainly containing PM10 (particles with diameter of 10 μm or less) and PM2.5 (particles with diameter of 2.5 μm or less) [14]. PM10 contain sulfide, oxynitride, automobile exhaust and cooking-generated particles et al. PM2.5 is a complex mixture of dust, pollen, bacteria and fungi [15,16]. The size of the particle is a main determinant of where in the respiratory tract the particle will rest when inhaled [17]. Because of their small sizes, particles on the order of 10 μm or less (PM10) can penetrate into the deepest part of the lungs such as the bronchioles, and p Number of colonies articles smaller than 2.5 μm, PM2.5, tend to penetrate into the gas exchange regions of the lung such as alveolus.

In recent decades, the problems from Cladosporium contamination have attracted many researchers. In spite of their obvious importance, knowledge about the characteristics of Cladosporium from HVAC in public places is still limited. In order to determine the potential hazards of Cladosporium from HVAC in public places, an investigation was carried out in two geographical locations: Beijing and Nanjing, as typical metropolis in the North and South of China. The aim of this survey was to quantify the distribution and concentrations of the different species of Cladosporium flora from HVAC in public places. We focus on the potential pathogenic Cladosporium species from HVAC.

Materials and Methods

Sampling strategy and sites

Supply air samples from HVAC were collected in Beijing (E116o46’ N39o92’) and Nanjing (E118o46’ N32o03’) in 9 days (2012.8.23- 2012.9.4). Indoor Particulate Matters (PM) was measured at the breathing zone height for each sampling site for 3-5 times (Table 1). The data of the outdoor temperatures and relative humidity (RH) during the sampling period were obtained from China Meteorological Administration (Table 2). A total of 108 (50 from Beijing, 58 from Nanjing) HVAC supply air samples were collected from 18 public places, including 9 (3 markets, 3 hotels and 3 hospitals)in Beijing and 9 (3 markets, 3 hotels and 3 hospitals) in Nanjing, respectively. We selected randomly floors and locations as sampling sites.

City Sampling site Indoor Outdoor
PMa10(mg/m3) PM2.5(mg/m3) PM10(mg/m3) PM2.5(mg/m3)
Beijing (North) Hospital 1 0.011 0.011 0.02 0.019
  Hospital 2 0.066 0.062 0.072 0.064
  Hospital 3 0.022 0.02 0.041 0.037
  Hotel 1 0.057 0.08 0.107 0.133
  Hotel 2 0.477 0.305 0.711 0.609
  Hotel 3 0.225 0.076 0.353 0.214
  Market 1 0.125 0.12 0.351 0.297
  Market 2 0.072 0.069 0.118 0.08
  Market 3 0.04 0.038 0.088 0.067
Nanjing (South) Hospital 4 0.033 0.051 0.077 0.079
  Hospital 5 0.041 0.058 0.071 0.083
  Hospital 6 0.058 0.083 0.09 0.092
  Hotel 4 0.043 0.035 0.065 0.046
  Hotel 5 0.044 0.03 0.072 0.05
  Hotel 6 0.054 0.055 0.089 0.091
  Market 4 0.043 0.035 0.069 0.057
  Market 5 0.029 0.041 0.048 0.061
  Market 6 0.017 0.022 0.033 0.051

Table1: PM of indoor sampling sites in survey.

Sampling City Date Max Temp. (°C) Min Temp. (°C) RH (%)
Beijing (North) 2012.8.23 30 16 58
  2012.8.24 27 22 56
  2012.8.27 32 21 47
  2012.8.28 34 22 52
  2012.8.30 26 15 94
  2012.9.4 29 15 52
Nanjing (South) 2012.8.21 31 26 80
  2012.8.22 31 24 77
  2012.8.23 29 22 70
  2012.8.24 29 22 68
  2012.8.26 30 24 90

Table 2: The meteorology of sampling cities, Beijing and Nanjing.

Sampling of fungi

Samples were collected by the Andersen 6-stage impactor (with aerodynamic cut-size diameters of 7.0, 4.7, 3.3, 2.1, 1.1 and 0.65 μm) located at 50 cm from air supply outlets, drawing air at a flow rate of 28.3 L/min for 5 min. The sampler was swabbed by 70% ethanol before every collection. Microorganisms were collected on Sabouraud's Agar in Petri-dishes located on all impactor stages. All samples were transported to the lab within 3 hours and then incubated for 7 days at 25oC. Concentrations were calculated as colony forming units per cubic meter of air (CFU/m3).

CFU/m3 was calculated as:

(Number of colonies×1000) / (Sampling time × Velocity of air flow rate)

Frequency was calculated as:

(Isolates fungi number)×100 / (Total fungi isolates number)

Identification

Microscopic observations of isolates were made from colonies cultivated for 7-14 d at 25°C on MEA. To study conidial development and branching patterns of conidia chains, squares of transparent adhesive tape were placed on conidiophores growing in the zone between the colony margin and 2 cm inwards.

Fungal colonies were established on agar plates, and genomic DNA was isolated as previously described [8]. To obtain resolution at species level for Cladosproium, the internal transcribed spacer ITS1 (5′-GGCGCATGGATAAACTATCC-3′) and ITS2 (5′-GATTATCCATTTGCCCCCAC-3′) regions were supplemented with partial gene sequences of the translation elongation factor 1-α gene (EF-1α) using the primers EF1- 728F (5′-CATCGAGAAGTTCGAGAAGG-3′) and EF1-986R (5′-TACTTGAAGGAACCCTTACC-3′), and the actin gene (ACT)using the primers ACT-512F (5′-ATGTGCAAGGCCGGTTTCGC-3′) and ACT-783R (5′-TACGAGTCCTTCTGGCCCAT-3′)

PCR amplification program: 94°C for 5 min, 40 cycles of 94°C for 45 s, 48°C for ITS1(52°C for TEF and ACT) for 30 s, 72°C for 90 s and a final step at 72°C for 6 min. All amplicons were sequenced as described by Carbone et al. [18]. Basic local alignment search tool (BLAST) was used to identify the closest affiliated sequences in GenBank.

Phylogenetic analysis

Phylogenetic analyses were conducted to support phylogenetic species recognition and to better understand the evolutionary history of isolates, using the combined dataset of ITS, EF-1α and ACT sequences. 3 strains were randomly selected from each species to build phylogenetic tree (Table 3). Reference sequences obtained from GenBank were aligned using Clustal X (Table 4) [19]. Alignments were manually adjusted where necessary with MEGA version 5 [20]. Cladistics analyses using the Maximum Likelihood method were performed with the same program [21]. The Maximum Likelihood tree was constructed with Kimura 2-parameter model, including transitions and transversions and with pairwise deletion of gaps. Clade stability was assessed in a bootstrap analysis with 1000 replicates. In the phylogenies presented acceptable supported was interpreted as those branches with bootstrap support >70%.

Strain No. Latin name Area Public place
L-1-21 C.cucumerinum North Market
NB51-4 C.cucumerinum South Market
NF51-15 C.cucumerinum South Market
J-2-1-24 C.macrocarpum North Market
ND52-9 C.macrocarpum South Market
GYDS-2-1 C. perangustum North Hotel
Z-1305-1-5 C. perangustum North Hotel
XGM-6066-1-14 C. perangustum North Hotel
NF41-12 C. breviramosum South Market
NC11-26 C. breviramosum South Hospital
FT-1-1-2 C. breviramosum North Hospital
NA51-1 C. tenuissimum South Hotel
NE21-14 C. tenuissimum South Hotel
BA-1-2-1 C. tenuissimum North Hospital
NB21-4 C. cladosporioides South Market
J-1-1-1024 C. cladosporioides North Market
NC41-1 C. cladosporioides South Hospital
NC42-22 C .gossypiicola South Hospital
NC11-5 C .gossypiicola South Hospital
ND52-3 C .gossypiicola South Market
DF-1-1025-6 C. sphaerospermum North Hotel
NC42-15 C. sphaerospermum South Hospital
NG32-10 C. sphaerospermum South Hospital
307-1-1 Cladosporium. sp North Hospital
ND32-19 Cladosporium. sp South Market
NC42-1 Cladosporium. sp South Market

Table 3: Information of stains used in phylogenetic tree.

Taxon name Collection GenBank Accession No.
ITS EF-1α ACT
C. breviramosum ATCC 76215 AF393683 - -
  ATCC 64696 AF393684 - -
C. cladosporioides CBS 170.54 AY213640 FJ936162 HM148490
  CBS 112388 NR_119839 HM148244 HM148490
C .cucumerinum CBS 177.54 KR912311 HM148322 HM148562
  CBS 176.54 JQ781722 HM148322 HM148567
C.gossypiicola ATCC 38026 AF393702 HM148431 HM148680
  CNU 081002 KC339773 HM148431 HM148680
C.macrocarpum CBS 181.54 NR_119657 EF679457 EF679534
  FFJaC 4 Km396371 EF679456 EF679533
C. perangustum CBS 167.54 HM148124 HM148368 HM148613
  CBS 126365 HM148123 HM148367 HM148612
C. sphaerospermum CBS 193.54 DQ780343 EU570261 EF101380
  CBS 102045 DQ780351 EU570262 EF101378
C. tenuissimum CBS 262.80 HM148201 HM148446 HM148691
  CBS 117.79 HM148200 HM148445 HM148690
ToxicoCladosporiumirritans CBS 185.58 EU040243 KJ564345 JN116660

Table 4: Strains used in phylogenetic analysis.

Statistical analysis

Microsoft Excel® software was used for data entry and management. The SPSS Version 16.0 (SPSS, Standard Version) were used to perform one-way analysis of variance (ANOVA) (p<0.05). The original fungal concentrations were transformed by natural logarithm to approximate a normal distribution for the following analysis. The airborne fungal concentrations were presented as geometric mean (GM). The data were analyzed using descriptive statistics including median, mean and frequency. In addition, data analyses were conducted using non-parametric statistics, which do not require distributional assumptions (normal distribution). Spearman’s rank (r) correlation test was used to determine the linear relationships between the two geographical locations.

Results

Cladosporium has the highest prevalence rate from HVAC

We firstly identified the fungi genera by morphological analysis supported by molecular biological technique. There were 99 genera detected in two cities. We list 28 genera of them as Table 5, which were same in two cities. Cladosporium was detected in 100 out of the 108 air samples with the highest prevalence rate of 92.3%, which was the most prevalent genus from HVAC among all of the fungi identified. There were 44 samples with Cladosporium detected in the North, while 56 in the South. The prevalence rate of Cladosporium in the South (96.6%) was significantly higher than the one in the North (80.0%) (p<0.05), suggesting that Cladosporium has wider distribution in the South than the North (Table 5).

Samples type No. %a
North South Total North South Total
Acremonium 1 2 3 2 3.4 2.8
Alternaria 11 14 25 22 24.1 23.1
Arthrinium 4 6 10 8 10.3 9.3
Ascomycete 1 2 3 2 3.4 2.8
Ascomycota 6 5 11 12 8.6 10.2
Aspergillus 26 40 66 52 69 61.1
Chaetomium 2 4 6 4 6.9 5.6
Cladosporium 44 56 100 88 96.6 92.6
Cochliobolus 3 5 8 6 8.6 7.4
Coriolopsis 1 4 5 2 6.9 4.6
Emericella 2 1 3 4 1.7 2.8
Epicoccum 3 1 4 6 1.7 3.7
Fusarium 2 9 11 4 15.5 10.2
Gibberella 3 4 7 6 6.9 6.5
Leptosphaerulina 4 2 6 8 3.4 5.6
Magnaporthe 1 1 2 2 1.7 1.9
Neosartorya 1 4 5 2 6.9 4.6
Paecilomyces 4 11 15 8 19 13.9
Penicillium 29 36 65 58 62.1 60.2
Peniophora 1 1 2 2 1.7 1.9
Phanerochaete 2 16 18 4 27.6 16.7
Phoma 2 2 4 4 3.4 3.7
Pleosporales 2 5 7 4 8.6 6.5
Schizophyllum 1 5 6 2 8.6 5.6
Scopulariopsis 2 1 2 4 1.7 1.9
Tilletiopsis 7 19 26 14 32.8 24.1
Trametes 1 5 6 2 8.6 5.6
Trichoderma 1 5 6 2 8.6 5.6
Total samples 50 58 108 100 100 100

Table 5: Prevalence (%) of Cladosporium from HVAC air samples.

Concentrations of Cladosporium from HVAC

The total fungal concentration from HVAC ranged from 50.9 to 1659.7 CFU/m3, and the GM of total fungal concentration was 389.7 CFU/m3. The Cladosporium concentration level was within a range of 4.7-254.4 CFU/m3. The GM Cladosporium concentration was 77.9 CFU/m3, accounting for 23.0% of total fungi concentration. In terms of two cities, the Cladosporium concentration ranged from 4.7 to 254.4 CFU/m3 in the Northand 7.8-134.2 CFU/m3 in the South. The GM Cladosporium concentration was 95.5 CFU/m3 in the North and 60.2 CFU/m3 in the South, respectively. From the data above, the North had a higher Cladosporium concentration than the South (p<0.05). However, the GM frequency of Cladosporium in the North was significantly lower than the South (p<0.05) (Table 6).

Fungalspecies Area
  North South Total
  Min. Max. GMa Median Min. Max. GMa Median GMa
Total fungi(CFU/m3) 66 1659.7 574.5 862.8 50.9 355.5 204.9 203.2 389.7
Cladosporium(CFU/m3) 4.7 254.4 95.5 50.1 7.8 134.2 60.2 71 77.9
CladosporiumFrequency (%) 2.1 65.5 16.6 33.8 5.3 57.1 29.4 31.2 23

Table 6: The Cladosporium concentrations from HVAC.

The Species of Cladosporium from HVAC

By morphological and molecular identification (Figure 1), we detected 9 species of Cladosporium from HVAC including viz. C. cladoporioides, C. sphaerospermum, C. tenuissimum, C. perangustum, C. sp., C. gossypiicola, C. cucumerinum, C. macrocarpum, and C. breviramosum, in descending order of GM concentration (Table 7). Among them, 8 species were detected in the North, and 7 in the South. 6 species were detected in both of the two areas including C. cladoporioides, C. cucumerinum, C. perangustum, C. sp., C. sphaerospermum, and C. tenuissimum. With the highest frequency (67.81%) overall, C. cladosporioides was revealed to be the predominant species of Cladosporium within the 9 species. Furthermore, our results demonstrated that C. cladosporioides GM concentration in the North was significantly higher than the South (p<0.05). Besides C. cladosporioides, the GM concentrations of C. gossypiicola, C. macrocarpum, C. sphaerospermum, C. tenuissimum in the North were higher than the one in the South.

mycology-Cladosproium-values

Figure 1: Maximum likelihood trees based on combined data set of ITS, EF-1αand ACT sequences, showing the relationship of species in Cladosproium. Toxicocladosporium irritans was chosen as out-group. The bootstrap values were obtained after a bootstrap test of 1000 replications.

Fungal Area
species North South Total
  Min. (CFU/m3) Max. (CFU/m3) GMa(CFU/m3) Median(CFU/m3) Frequency (%b) Min. (CFU/m3) Max. (CFU/m3) GMa(CFU/m3) Median(CFU/m3) Frequency (%b) GMa
(CFU/m3)
Frequency (%b)
C. breviramosum 0 0 0 0 0 0.35 0.35 0.35 0.35 0.58 0.18 0.22
C. cladoporioides 0.35 105.09 69.43 52.55 72.7 0.35 70.61 36.16 35.31 60.03 52.8 67.81
C. cucumerinum 0.35 1.41 0.22 0.71 0.23 0.71 4.24 1.17 2.12 1.94 0.7 0.89
C.gossypiicola 0.35 7.77 6.82 3.89 7.14 0 0 0 0 0 3.41 4.38
C.macrocarpum 0.35 0.35 0.35 0.35 0.37 0 0 0 0 0 0.18 0.22
C. perangustum 0.35 8.13 3.52 4.07 3.68 0.35 8.13 5.41 4.07 8.98 4.47 5.73
C. sp. 0.35 1.77 1.18 0.89 1.24 0.35 9.43 7.56 4.72 12.55 4.37 5.61
C. sphaerospermum 0.35 19.79 7.04 9.9 7.37 0.35 16.36 5.83 8.18 9.68 6.44 8.26
C. tenuissimum 0.35 7.07 6.93 3.54 7.26 0.35 14.24 3.75 7.12 6.22 5.34 6.86
Total Cladosporium 4.71 254.42 95.49 50.1 100 7.77 134.23 60.23 71 100 77.86 100

Table 7: Concentration and frequency of Cladosporium species from HVAC.

Cladosporium distributed differently in three kinds of public places

We next sought to investigate the distribution of the 9 species of Cladosporium detected in three kinds of public places. As the results indicated, 9, 8 and 6 species were detected in hospitals, hotels and markets respectively. It was discovered that Cladosporium from the hospitals and hotels’ HVAC had higher concentration than markets’. Besides C. cladosporioides which has the highest overall prevelance, C. sphaerospermum was another species had relatively higher concentration and frequency than the other 7 species. Additionally, compare to the Cladosporium concentrations in the hospitals and hotels, except for C. cladosporioides, the other 8 species had lower concentration in the markets (Table 8).

  Hospital Hotel Market
GM (CFU/m3) Frequency (%) GM (CFU/m3) Frequency (%) GM (CFU/m3) Frequency (%)
C. breviramosum 0.2 0.2 0.3 0.3 0 0
C. cladoporioides 62.7 69.2 65.3 65.6 30.4 70
C.cucumerinum 0.4 0.4 1.7 1.7 0 0
C.gossypiicola 3.6 4 2.9 2.9 3.7 8.5
C. macrocarpum 0.5 0.6 0 0 0 0
C. perangustum 7.7 8.5 5.4 5.4 0.3 0.7
C. sp. 2.1 2.3 8.2 8.2 2.8 6.5
C. sphaerospermum 8.1 8.9 6.3 6.3 4.9 11.2
C. tenuissimum 5.3 5.8 9.4 9.4 1.3 3
Total Cladosporium 90.7 100 99.5 100 43.4 100

Table 8: Cladosporium distribution in three kinds of public places.

Discussion

Contamination from HVAC has been an increasing public health concern in the past several decades. Several studies reported that some fungi had high prevalence rate in HVAC including Penicillium, Aspergillus, Alternaria, Aureobasidium and Cladosproium [22-25]. However, reports that compare the prevalence of these fungi are still not available thus makes it hard to determine the most dominant one. We firstly reported here that Cladosporium was the most distributed contaminant fungi from HVAC in public places with the highest prevalence rate (92.3%) in all supply air samples. At species level within the Cladosproium, C. cladoporioides had the highest concentration and frequency (52.80 CFU/m3, 67.81%) indicating they were were the predominant species from supply air in HVAC.

According to previous references, Cladosporium species have unequal effects on health outcomes [26-28]. We identified and assessed the potential risk to human diseases of different Cladosporium species detected from HVAC according to their distribution. C. cladoporioides, C. sphaerospermum and C. macrocarpum detected in our investigation have been reported to be allergenic especially asthma due to their spores or hyphal fragments [23,29]. The total frequency of the three species was 76.29% of this genus. Notably, C. cladoporioides and C. sphaerospermum were detected in both cities with relatively high frequency. The sensitization of the rest species has not been tested, and more clinical tests need to be done. Apart from these three species, C. herbarum is another dominant sensitizing fungus in air-spora. Previous literatures showed the existence of C. herbarum on floors, in carpets, HVAC insulation, filters and fans [30,31]. Zhang reported that C. herbarum were isolated from atmospheric air in Beijing [32]. Interestingly, we didn’t detect C. herbarum in our investigation which might due to the small sample size in our study. ASHRAE (American Society of Heating Refrigerating and Air-conditioning Engineers) guidelines pointed out that the operating criterion for air-conditioning system application and cleaning should be designed to reduce fungal contaminant [33]. Although the exact load of fungal spores to initiate major infections or allergy is unknown, our data suggest that HVAC in public places should be meticulously maintained and frequently monitored to minimize the chance of fungi growing especially those potentially pathogenic species.

Currently, though fungal concentration is one of the most important factors causing sensitization, there are no federal standards or recommended guidelines from related organizations (e.g, American Society of Heating, Refrigerating and Air- Conditioning Engineers, ASHRAE; World Health Organization, WHO; The U.S. Department of Health and Human Services,HHS) for airborne concentrations of fungi spores. The research focusing on the threshold of certain fungal concentration which might have potential pathogenic effects is also heavily lacking. A relatively early study done by Gravesen [34] pointed out that the concentration threshold for evoking allergic symptoms was 3000 spores/m3 for Cladosporium. Despite our results were far less (4.71 to 254.42 CFU/ m3) than Gravesen’s suggestion, we cannot ignore their potential harmfulness especially considering the accumulative effects from HVAC in indoor environment with continual supply air. Meanwhile, certain individuals may react at lower concentrations due to their higher sensitivity.

Temperature and humidity are important factors in influencing the amount of fungus spores in the air. Schoch [35] reported that environmental RH typically conduces to Cladosporium growth more than temperature. Under normal RH range 50-95%, over 80% RH is more suitable for Cladosporium to thrive [30,36]. The average temperatures of our investigation samples were at 30°C in the South and 28°C in the North, and the humidity were 77% and 60% in two areas respectively. As expected, the prevalence rate of Cladosporium in the South was higher than that in the North. Meanwhile, according to the correlation analysis between Cladosporium and temperature (or RH) outdoor (Table 9), almost all Cladosporium species had a higher correlation coefficient with RH than temperature. Our results confirmed that Cladosporium growth received greater effect from RH than temperature. In addition, RH in the South is more suitable for Cladosporium growth than that in the North. The South RH was closer to 80% compared to that of the North which matched the results in our study that Cladsporium has a wider prevalence rate in the South. Therefore, our results suggest that the areas in the South are more widely contaminated than those in the North. Surprisingly, Cladosporium concentration is higher in the North than the South. Since the HVAC discharges atmospheric air currents into the indoor environment directly from the outdoor air sources [36,37], this seemingly discrepancy might be caused by a higher atmospheric background of Cladosporium concentrations in the North. We believe more information about the environmental factors such as the city atmosphere, construction and so on would be helpful to better understand the observation.

Fungal species Temp (°C) RH (%)
C. breviramosum 0.471 0.501*
C. cladoporioides 0.290* 0.343**
C.cucumerinum 0.592 0.694
C.gossypiicola 0.208 0.586
C. macrocarpum 0.374 0.311
C. perangustum -0.478* -0.192
C. sp. 0.044 0.706**
C. sphaerospermum 0.447 0.771*
C. tenuissimum 0.136 -0.176
Cladosporium 0.201 0.274*

Table 9: Spearman correlation coefficient (r) between 9 species and sampling cities’ outdoor relative humidity (RH) and temperature (Temp).

The Spearman correlation coefficient analysis between Cladosporium concentration and indoor PM10 and PM2.5 suggested Cladosporium concentration had a moderate yet significant correlationship with PM2.5 (r=0.35, p<0.05) but not PM10 (r=0.047). According to the indoor PM10 and PM2.5 data measured in the current study, PM10 and PM2.5 in the North (0.122 and 0.087) sampling sites were significantly higher than those in the South (0.040 and 0.045) (p<0.05). This suggests that Cladosporium could affect IAQ by arising PM2.5 concentration, while this is indeed correlated with the higher spore concentration we observed in the north. It is of great interests to perform further assays in future to analyze the PM2.5 composition and determine to what degree Cladosporium contamination is contributing to the PM2.5 levels.

We characterized the distribution of allergic fungi from HVAC in current report. C. cladosporioides (r=0.343) and C. macrocarpum (r=0.311) showed low correlation with outdoor RH in spearman correlation coefficient analysis which might attribute to the relatively narrow range of the temperature and outdoor RH during our sampling period. They were also within the optimum range for C. cladosporioides and C. macrocarpum. A highly correlated relationship between C. sphaerospermum (r=0.771,p<0.05) and outdoor RH was found. Indeed, compared to North, the concentration and frequency of C. sphaerospermum were higher in the South where higher RH and temperature were recorded. As a conclusion, in summer, C. cladosporioides and C. macrocarpum have no humidity preference for distribution in two cities, but C. sphaerospermum is more suitable to grow in the South.

The patterns of other species of Cladosporium are contingent. Their distribution, frequency and concentration might also depend on a number of more direct surrounding environmental factors. For example, C. cucumerimum parasitizes on leaves, stems and fruit of Cucurbitaceae. The Cucurbitaceae distribution area around buildings affects C. cucumerimum concentration in HVAC. These species have not been reported as pathogenic to humans clinically.

The three types of public places covered in our study are all high traffic public areas. However, hospitals are special public place usually paired with health-related issues. There are a number of immunocopromised patients such as organ transplant patients and postoperative patients who are more susceptible to fungiinduced infection and allergy. It should be noted that both total fungi abundance and total concentration of the three allergic Cladosporium species were significantly higher in hospital than the other two places. Despite its low concentration, the pathogenic species C. macrocarpum was detected exclusively in hospital, suggesting more attention is necessary in monitoring and controlling fungi contamination in hospitals.

In summary, we revealed the population characteristics of Cladosporium at species level in HVAC of public places. This work provides the theoretical basis for prevention and the necessity of controlling the exposure risk caused by pathogenic fungi in HVAC.

Acknowledgment

This study was funded by Ministry of Health Public Research Foundation of China, No: 201002001.

References

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