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Article
Chronic and Occult Hepatitis B Virus Infection in Pregnant Women in Botswana
Tshepiso Mbangiwa 1,2, Ishmael Kasvosve 2 ID , Motswedi Anderson 1,3, Prisca K. Thami 1,3 ID , Wonderful T. Choga 1, Austen Needleman 4, Bonolo B. Phinius 1, Sikhulile Moyo 1,5, Melvin Leteane 3, Jean Leidner 6, Jason T. Blackard 7, Gloria Mayondi 1, Betsy Kammerer 8,9, Rosemary M. Musonda 1, Max Essex 1,5, Shahin Lockman 1,5,9 and Simani Gaseitsiwe 1,5,*
1 Botswana Harvard AIDS Institute Partnership, Gaborone BO320, Botswana; mbangiwat@gmail.com (T.M.); manderson@bhp.org.bw (M.A.); pthami@bhp.org.bw (P.K.T.); wtchoga@gmail.com (W.T.C.); bphinius@gmail.com (B.B.P.); smoyo@bhp.org.bw (S.M.); gmayondi@bhp.org.bw (G.M.); rmusonda@bhp.org.bw (R.M.M.); messex@hsph.harvard.edu (M.E.); shahin.lockman@gmail.com (S.L.)
2 Department of Medical Laboratory Sciences, Faculty of Health Sciences, University of Botswana, Gaborone 0022, Botswana; kasvosvei@ub.ac.bw
3 Department of Biological Sciences, Faculty of Science, University of Botswana, Gaborone 0022, Botswana; LETEANEM@mopipi.ub.bw
4 Harvard College, Cambridge, MA 02138, USA; aneedleman@college.harvard.edu 5 Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health,
Boston, MA 02115, USA 6 Goodtables Data Consulting, Norman, OK 73019, USA; jeanleid@gmail.com 7 University of Cincinnati College of Medicine, Cincinnati, OH 45627, USA; blackajt@ucmail.uc.edu 8 Department of Psychiatry, Boston Children’s Hospital, Boston, MA 02115, USA;
Betsy.Kammerer@childrens.harvard.edu 9 Brigham and Women’s Hospital, Boston, MA 02115, USA * Correspondence: sgaseitsiwe@bhp.org.bw
Received: 27 February 2018; Accepted: 11 May 2018; Published: 17 May 2018
Abstract: The hepatitis B virus (HBV) is a global problem; however, the burden of HBV infection in pregnant women in Botswana is unknown. We sought to determine the prevalence of chronic and occult HBV infection in human immunodeficiency virus (HIV)-infected and -uninfected pregnant women in Botswana. Samples from 752 pregnant women were tested for hepatitis B surface antigen (HBsAg), and HBsAg-positive samples were tested for hepatitis B e antigen (HBeAg) and HBV DNA load. Samples that were HBsAg negative were screened for occult HBV infection by determining the HBV DNA load. HBV genotypes were determined based on a 415-base-pair fragment of the surface gene. Among the 752 women tested during pregnancy or early postpartum, 16 (2.1%) (95% confidence interval (CI): 2.0–2.2) were HBsAg-positive. The prevalence of chronic HBV infection was higher (3.1%) among HIV-infected (95% CI: 3.0–3.2) compared with HIV-uninfected women (1.1%) (95% CI: 1.07–1.1, p = 0.057). Among the 622 HBsAg-negative women, the prevalence of occult HBV infection was 6.6% (95% CI: 6.5–6.7). Three of thirteen HBsAg-positive participants were HBeAg-positive, and all were HIV-negative. Of the 11 maternal samples successfully genotyped, five (45.5%) were genotype D3, five (45.5%) were genotype A1, and one was genotype E (9%). Low and similar proportions of HIV-infected and -uninfected pregnant women in Botswana had occult or chronic HBV infection. We identified a subset of HIV-negative pregnant women who had high HBV DNA levels and were HBeAg-positive, and thus likely to transmit HBV to their infants.
Keywords: pregnant women; hepatitis B virus (HBV); human immunodeficiency virus (HIV); Botswana

Genes 2018, 9, 259; doi:10.3390/genes9050259

www.mdpi.com/journal/genes

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1. Introduction
Viral hepatitis is a major cause of morbidity and mortality, and it is ranked as the seventh-leading cause of mortality in the world [1]. Hepatitis B virus (HBV) infection causes 70% of the viral hepatitis-related mortality [2]. Global estimates suggest that 3.6% of the world’s population is infected with HBV [3], with the highest burden in Asia and sub-Saharan Africa [4,5]. Human immunodeficiency virus (HIV) and HBV are significant public health threats in sub-Saharan Africa. It is well documented that HIV/HBV coinfection impacts the natural progression of HBV infection, resulting in increased HBV transmission and decreased host immune responses [6–8].
In most highly HBV-prevalent regions, the majority of HBV infections occur in early childhood, either through vertical or horizontal transmission [9]. HBV infection during early childhood is more likely to result in chronic HBV infection [10,11] compared to infection occurring later in life. While considerable focus has been made on reducing the vertical transmission of HIV in sub-Saharan Africa, research on the prevention of HBV vertical transmission in sub-Saharan Africa is quite limited. Therefore, there is a need to generate country-specific data to determine the rates of HBV infection in pregnant women and children and to evaluate if the intensification of HBV prevention strategies is needed within the country.
Botswana, a southern African country with a population of approximately 2.3 million, has an intermediate prevalence of HBV [12]. The country also has one of the highest prevalence of HIV globally, at 18.5% [13]. There is scant data on HBV prevalence in Botswana, with most of the available data coming from HIV-infected cohorts in whom HBV prevalence ranges between 5% and 10% [4,14,15], including in HIV-infected pregnant women [16]. Data regarding HBV prevalence in HIV-uninfected pregnant women is nonexistent in Botswana. We sought to determine the prevalence of chronic and occult HBV infection in HIV-infected and -uninfected pregnant women in Botswana.
2. Materials and Methods
2.1. Study Participants
We used stored samples and existing data from the completed Tshipidi study that has been described in detail previously [17]. Briefly, Tshipidi was a prospective cohort study that enrolled and followed 453 HIV-infected and 457 HIV-uninfected pregnant women and their live-born infants at two sites (the city of Gaborone and the village of Mochudi) in Botswana from 2010 to 2012. Mothers and their infants were followed to evaluate the effects of in utero exposure to maternal HIV or to antiretroviral drugs on neurodevelopment and child health outcomes at two years of age. For the current study, samples from all mothers at delivery (and also at enrollment for the chronic HBV-positive participants) were included, provided that the relevant stored sample(s) were still available. The delivery samples were drawn at least two months apart from the enrollment samples.
Tshipidi study participants provided written informed consent for study participation. The study was done in accordance with the Declaration of Helsinki, and the research protocol was approved by the Health Research Development Committee at the Botswana Ministry of Health and Wellness (HRDC00524) and the Office of Human Research Administration at the Harvard T.H. Chan School of Public Health (18093).
2.2. Hepatitis B Virus Serological Screening
Available Tshipidi plasma samples were tested for hepatitis B surface antigen (HBsAg) using a Murex HBsAg kit (Murex Biotech, Dartford, UK). The positive samples were repeated to validate their positive status using the Murex HBsAg kit. The samples that were positive for HBsAg were screened for hepatitis E antigen (HBeAg) using the Monolisa HBeAg-Ab PLUS kit (Bio-Rad, Hercules, CA, USA).

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2.3. Hepatitis B Virus DNA Levels
Maternal samples were tested for HBV DNA levels. HBsAg positive samples were also tested at the enrollment visit. HBV DNA levels were quantified using the COBAS® AmpliPrep COBAS® Taqman®, HBV Test v.2.0 (Roche diagnostics, Mannheim, Germany) following the manufacturer’s instructions. The limit of detection was 20 IU/mL. HBV DNA suppression was defined as undetectable (not detected or ND) HBV DNA.
2.4. DNA Extraction for Genotyping
DNA was extracted from 200 µL of plasma samples using the QiAmp DNA extraction kit according to the manufacturer’s protocol (QIAGEN, Hilden, Germany). An elution volume of 50 µL was used instead of the 200 µL recommended in the protocol to increase sample concentration. DNA extracts were either used for amplification directly or stored at −80 ◦C until use.
2.5. HBV Genotyping
Chronic HBV positive samples were genotyped using a previously published protocol [18]. Briefly, a 415-base-pair (bp) fragment of the surface gene was amplified using a seminested polymerase chain reaction (PCR) using the SuperScript™ III One-Step RT-PCR System with Platinum® Taq High Fidelity (Life technologies, Waltham, MA, USA). Primers HBV381 (5’-GTTTAAATGTATACCCAAAGAC-3’; nt 840–861) and HBV840 (5’-TGCGGCGTTTTATCATCTTCCT-3’; nt 381–402) were used for the first round of PCR, with cycling conditions as previously described [4]. HBV801 (5’-CGACGGCATAAAGGGACTCAAG-3’: nt 801–822) and HBV381 were used for the second round [4]. A 2% agarose gel stained with ethidium bromide was used to view the PCR product. The PCR products were cleaned using the QIAquick® PCR purification kit (QIAGEN, Mannheim, Germany). Primers HBV801 and HBV381 were used for the sequencing reactions. DNA was labeled using ABI BigDye® v3.1 terminators (Applied Biosystems, Foster City, CA, USA) and purified using ZR DNA Sequencing Clean-up Kit™ (Zymo, Irvine, CA, USA) as per manufacturers’ protocol. The sequencing chromatograms were created using an ABI 3130xl genetic analyzer (Applied Biosystems).
Chromatographs were edited using Sequencher version 5.0 [19] to generate consensus sequences. Nucleotide alignments were performed with Clustal X 2.1 [20]. Representative references of genotypes A–H were retrieved from GenBank and aligned with sequences from this study to determine genotypes. The National Center for Biotechnology Information (NCBI) GenBank accession numbers for sequences found in this study are MG977689, MG977690, MG977693, MG977694, MG977695, MG977696, MG977697, MG977698, MG977699, MG977700, and MG977701. Additional phylogenetic inference was performed using a Bayesian Markov chain Monte Carlo (MCMC) approach as implemented in the Bayesian evolutionary analysis by sampling trees (BEAST) version 1.8.4 program [21], with an uncorrelated log-normal relaxed molecular clock, general time-reversible model, and nucleotide site heterogeneity estimated using a gamma distribution. The MCMC analysis was run for a chain length of 100,000,000, and results were visualized to confirm adequate chain convergence with Tracer version 1.6 [22]. The effective sample size (ESS) was calculated for each parameter, and all ESS values were >500, indicating sufficient sampling. The maximum clade credibility tree was selected from the posterior tree distribution after a 10% burn-in using Tree Annotator version 1.8.4 [21] and visualized in FigTree version 1.4.3 [23]. Posterior probabilities >0.90 are noted as statistically significant, as described previously [24,25].
2.6. Data Analysis
Chronic HBV infection was defined as HBsAg positivity, while occult HBV infection was defined as HBsAg negativity, but with detectable HBV DNA. Data were reported using proportions, medians, and interquartile ranges (IQR). Categorical and continuous characteristics were compared by HBV

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status using Fisher’s exact test or Wilcoxon’s rank sum test, respectively. All data were analyzed using STATA v14.0 [26], and p-values <0.05 were considered statistically significant.

3. ResuGltesnes 2018, 9, x FOR PEER REVIEW

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Of39. 1R2esmulotsthers that were enrolled in the parent cohort, 752 were screened for HBsAg (chronic
HBV infectiOofn9),12anmdot6h2e2rsothuattowfetrheeen7r5o2llewdeirnethscerpeaerneendt cfoohrorotc, c7u52ltwHerBeVscirneefnecedtiofonr (Hi.Bes.,AHg B(cshArogn-inc egative with deHteBcVtaibnfleectHioBn)V, aDndN6A22).oSuat mof pthlees75f2rowmerepsacrrteiecniepdanfotrsowcciutlht HpBoVsitinivfeicttyiofno(ri.teh.,eHHBsBAsgA-ngegraetsivuelts were tested fowtersittHhedBdfeeotAercHgta,BbaelAne dgH,BtahVnedDHtNhBeAVH).-BpSVao-mspipotislveitseivsfreowsmwereperaegrgteiecnnipooattynyptpseedwdaitsahsppeporesFirtiigFvuiitrgyeu1fro.er 1th. e HBsAg results were

949 pregnant women enrolled

912 pregnant women eligible (752) plasma samples retrieved

37 women lost to follow-up
160 samples not available for testing

(752) HBsAg testing

HBsAg positive (16) HBeAg testing (13)

HBsAg negative (732) (622) HBV DNA testing

110 insufficient sample

3 positive

10 negative

57 HBV positive

41 occult positive

581 occult negative

18 had HBV DNA > 20 IU/ml

32 had HBV DNA < 20 IU/ml

* 7 had HBV DNA ND

Figure 1F.igSucrreee1n. iSncgreaelnginogritahlgmorsithhomwsinhogwthinegdtihfefedreifnfetrteensttstetshtsatthwaet rwe epreerfpoerrmforemdeadndantdhethreesruesltusltosbtained. HBsAg:ohbetapianteidti.sHBBssuArgfa: cheepaanttiitgiseBn,sHurBfaecAe ga:nhtiegpena,tiHtiBseBAega: nhetipgaetnit,isHBBeVa:nhteigpeant,itHisBBVv: ihreupsa,tNitiDs B: nvoirtudse, tectable, *: all theNseDw: neortedHetBecstAabgle-p, *o: sailtlitvhee.se were HBsAg-positive.
Of the 912 women, 454 were HIV-infected and 458 HIV-uninfected. Of the 752 women, 384 are
OfHthIVe-p9o1s2itwiveoamnden3,6845ar4ewHeIVre-nHegIaVti-vien.fTehcetemdedainadn C4D584+HTI-cVe-lul cnoiunnftescotfetdh.e OHIfVt-hpeos7it5iv2ewmoamterenna,l 384 are HIV-popsiatritviceipaanndts3w6e8rea4r2e2H(3I1V3-,n56e7g)a, 4ti6v0e(.34T0h, e51m1),e6d0i4a(n32C2D, 641+6),T4-1c8e(l3l1c3o,u56n3t)s, aonfdth48e1H(2I8V9-, p62o8s)iftoivr ethme aternal participcahnrotsniwc eHrBeV4-2p2os(it3iv1e3,, o5c6c7u)l,t 4H6B0V(-3p4o0s,it5iv1e1, )H, 6B0V4-n(e3g2a2ti,v6e1, 6a)n,d41th8e(3to1t3a,l 5H6B3V),-paonsditi4v8e1g(r2ou89p,s,628) for the chrorensipcecHtivBeVly-.pTohseitaivspea,rotactceutrlatnHsaBmVin-pasoes(iAtiSvTe),, HalaBnVin-enterganastaivmei,naasned(AtLhTe),toHtIaVl sHtaBtuVs-,pHoIsVitvivirealgroups, respectilvoaedly,T.ahnTedhpoertehavesarplceahnractreaaoctetfeHrtirsBatVincssinawfmeecritenionanosteinsi(gpAnreSifgTicn)aa,nnattllyawdnoiimfnfeeernetnrwtaabnsest2aw.1me%einn(1tah6se/e7d5(i2Af)f,eLarTennd)t, 6gH.r6oI%Vup(s4st1(aT/6ta2ub2sl)e,f1Ho)r.IV viral load, ancdhrootnhicerancdhaorcacucltteHriBstVicisnfwecetiroenn, oretspsiegcntivifielcya.nCthlyrodniicffHerBeVntpboesittwivieteynwtahsesidginfiffeicraennttlyghroiguhpers i(nTable 1).
ThHe IpVr-epvoasilteivnecewoomf HenB(3V.1i%n;fe12ctoiof n38i4n) cpormepganraendttowHoImV-ennegwataivse2w.1o%me(n16(1/.17%52; )4, oafn3d686; .p6=%0.(04517/),622) for chronicaasnsdhoowcncuinltFHigBurVe 2in. Hfeocwtioevne,r,rethsepreecwtivaselnyo. dCifhferroencice iHn BoVccupltoHsiBtiVviitnyfewctaiosnsiingnHiIfVic-annegtlaytivheigher in HIV-powsitoimveenwaosmcoemnp(a3r.e1d%t;o1H2IoVf-p3o8s4it)ivceomwopmaerend(2t4o (H7.4I%V-)noefg3a2t3ivveewrsuosm1e7n(5(.17.%1%) o;f429o9f 3w6o8m; epn,= 0.057), as showrnesipneFctiigvuerlye (2p. =H0o.3w8)e).ver, there was no difference in occult HBV infection in HIV-negative women as
compared to HIV-positive women (24 (7.4%) of 323 versus 17 (5.7%) of 299 women, respectively (p = 0.38)).

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Table 1. Association of clinical demographics with chronic versus occult hepatitis B virus (HBV) infection.

All (N = 752)

Chronic HBV (N = 16)

Occult HBV (N = 41)

p-Value

Chronic or Occult HBV (N = 57)

HBV-Negative (N = 695)

p-Value

Media maternal age in years (n = 581) (Q1, Q3)
HIV-positive women HIV-negative women HIV viral load (copies/mL) (Q1, Q3) CD4+ T-cell count (cells/µL) (Q1, Q3) Platelet count (Q1, Q3) Hemoglobin (g/dL) (Q1, Q3) ALT (U/L) (Q1, Q3) AST (U/L) (Q1, Q3) Total bilirubin (µmol/L) (Q1, Q3)

27 (24, 32)
384 * and 299 + 368 * and 323 + 1549.5 (400, 13,808) 422 (313–567) 267 (216–311)
11 (10–12) 13 (11, 19) 23.4 (19, 30)
6 (4, 8)

29 (25, 33)
12 (3.1%) 4 (1.1%) 508.5 (193, 3819) 460 (340, 511) 296 (211, 365) 12 (11, 12) 12 (10, 13) 24 (18, 30) 4 (2.9, 5.7)

28 (23, 32)
17 (5.7%) 24 (7.4%) 1568 (395, 9635) 604 (322, 616) 272 (228, 371) 11 (9.0, 12) 14 (12, 19) 22 (18, 30) 4.7 (4, 12)

0.58
0.057 a 0.38 b 0.70 0.14 0.18 0.19 0.74 0.30 0.10

27 (23, 31)
29 (7.6%) 28 (7.6%) 676 (400, 7762) 481 (289, 628) 298 (233, 371) 12 (10, 13) 13 (10, 14) 30 (21, 35)
4 (3, 6)

27 (23, 32)
355 (92.4%) 340 (92.3%) 1585 (400, 14,125) 418 (313, 563) 265 (211, 309) 10.9 (9, 12) 13 (11, 17) 23 (19, 30)
6 (4, 8)

0.24
0.54
0.16 0.25 0.52 1.00 0.65 0.35 1.00

HIV: Human immunodeficiency virus, ALT: Alanine transaminase, AST: Aspartate transaminase, Q1; first quartile, Q3: third quartile,*: totals for participants tested for chronic HBV infection, +: totals for participants tested for occult HBV infection, a: p-value for chronic infection in the HIV-positive women versus HIV-negative women, b: p-value for occult infection in HIV-positive versus HIV-negative women.

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HBsAg-positive women who were HIV-negative had HBV DNA levels between 396 IU/mL and > 1.70 × 108 IU/mL, and three out of four were HBeAg. Of the 13 participants with chronic HBV infection,

three were HBeAg-positive and all were HIV-negative. These three participants had HBV DNA levels > 1.7 × 108 IU/L at both enrolment and delivery. The delivery samples were drawn at least two months

apart from the enrollment samples. All 12 HIV-positive chronically infected participants had HBV DNA

levels between < 20 IU/mL and 12,900 IU/mL. Of these women, 58.3% (7/12) were on Zidovudine

(AZT) monotherapy and 41.7% (5/12) were on highly active antiretroviral therapy (HAART).

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8

7

6

PERCENTAGE (%)

5
4 Occult Chronic
3

2

1

0 HIV Positive

HIV Negative

Overall

FiguFvriiergu2us.re(PHr2eI.VvPa)rlpeeovnsacileteinvoecfeaonocdcf uoHlctIcVaunlntdeagcnahdtriovcnehirpcornHeigcBnVHanBitnVwfeoicnmtfieoecnnti.aomn oamngosntgtshtethheumhuamn aimn mimumnuondoedfiecfiiecniecnycvyirus (HIV) positive and HIV negative pregnant women.
We then evaluated the prevalence of HBV infections amongst HIV-positive participants with a CWDe4+thTe-cnelelvcaoluunattoedf >th50e0pcreellvsa/mleLncaendofthHosBeVwiinthfeactCioDn4s+ aTmceolnl gcosut nHt IoVf-≤p5o0s0itcivelelsp/marLt.icTihpiasnwtsaswtoith a
CD4d+eTte-rcmelilnceoifutnhteroefi>s a5n0a0scsoelclisa/timonLoaf nHdBVthionsfecwtioitnhwaitChDC4D+4+TTc-ecellllccoouunnttsoifn≤HI5V0-0incfelcltse/dmpaLr.tiTcihpiasnwtsa. s to determinOe fiftthhee3re84isteasnteadssfocricahtiroonniocfHHBBVViinnffeecctitoionn, 3w82ithaCdDa4v+aiTla-bcelellCcoDu4n+tTs-icnelHl cIVou-inntfercetseudltsp,aarntidciopfants.
tOhef2t9h9et3e8st4edtefsotredocfcourltcHhBroVniincfHecBtiVoni,n2f9e7chtiaodna, v3a8i2lahbaledCaDv4a+ilTab-cleellCcDou4n+t Tre-scuelltlsc. oAumnotnrgesstutlhtse,3a8n2d of the 2t9es9tetedsftoerdcfhorroonciccuHlBt VHiBnVfecintifoenc,ti1o2n9,h2a9d7ChDad4+aTv-acielallbcloeuCnDts4o+f >T-5c0e0llcceollus/nmtLreasnudlt2s5. 3AhmadonCgDs4t +thTe- 382 testecdellfocroucnhtrsoonfic≤ H50B0Vceilnlsf/emcLti.oAnm, 1o2n9gshtatdheC1D294w+ iTth-cCeDll 4c+oTu-nctesllocfou>n5ts00ofc>el5ls0/0 mceLllsa/mndL,2t5h3reheawderCeD4+ Tch-creoly2cnlh9iicec7roloadtunleilnnsiycttgaesHdlaolByffcoVhH≤r-rBioon5Vnc0fci-e0cuicnlcHttfeeeHBdlclVts,Be/aVdinmn,idfaneLnfco.edtAuicoottminuootnopfo,nrtfe9hgvt6eshathe2ltae52hnd35ec3Cwe1wD2oit9if4ht+3hw/≤T≤1i-2t5c5h90e00Cl(0l2cDc.ce3oe4l3ull+%sln/sm)Tt/sa-mLcone,fLdnl>l,i9ncn5/oe20inu50w3encee(twr3slel.eso5c/r6fhme%>rcLo)5h,na0rrin0ocedasncpliel2ceyl0acl1Hstli/lhvyBmaeVHdlLy-iBC.,nFVtDfheo-4crirne+tteefhTdeew-c, teerde, yieldcienllgcaoucnhtrsoonfic≤ H50B0Vceilnlsf/emcLti.oAnmporenvgasltetnhcee96ofw3i/th12C9D(42+.3T3-%ce)llacnodun9t/s2o5f3>(530.506c%ell)s,/rmesLp, e10cthivaedlyo.ccFuolrt the 297 tHesBtVedinffoecrtioocnc,ualntdHoBf tVhein20fe1cwtiiothnC, 9D64+haTd-ceCllDco4u+nTts-coefl≤l 5c0o0ucnetllss/omf L>, s5e0v0encehlalsd/omccLulatnHdBV20i1nfhecatdioCn,D4+ T-celyliecloduinngtsanofo≤ccu5l0t 0HcBeVllisn/femctLio.nApmreovnaglesntctehoef 9160/w96i(t1h0C.4%D)4a+nTd-7c/e2l0l1co(3u.4n8t%s )o, fre>sp5e0c0tivceellyls./mL, 10 had occult HBTVheirnefwecatsioans,iganidficoafntthdeif2f0e1rewnciethinCtDhe4p+rTev-caelellnccoeuonf tosccoufl≤t H5B0V0 icneflelsc/tiomnLi,nswevoemnehnawditohcCcuDlt4+HBV
infecTti-ocenl,l ycoieulndtisnogfa>n5o00cccueltlsH/mBLVcionmfepcatiroedn tporethvoaslenwciethofa1C0D/49+6 T(1-c0e.4ll%co)uanntdo7f /≤250010 (c3e.l4ls8/%m)L, r(eps-vpaelcuteively.
=T0h.0e1re). wOfasthae spiagrntiicfiipcanntts dthifafterwenerceeoinn ttrheeatmpreenvta(lnen=c2e6o7)f, o9c6chualdt Ha BCVD4i+nfTe-ccteilolncoiunnwt oofm>e5n00with CD4c+elTls-/cmelLl (ctohurenetsofowf >ho5m00wceerlelsr/ecmeiLvicnogmunpsapreecdiftioedthanotsierewtriothviaraCl tDhe4r+apTy-c, AelRl Tco) uanndt o17f1≤ha5d00a cCeDll4s+/mL (p-vaTl-uceel=l c0o.0u1n)t. Ooff ≤th5e0p0acretilclsi/pmaLnts(fothuart owf ewrehoomn trweeartemreenctei(vnin=g26u7n)s,p9e6cihfiaedd aACRDT)4. +TThe-creellwcaosunnot of > 500 cdeifllfse/remncLe (itnhtrheeeCoDf w4+hTo-mcelwl ceoruenrtescienivwionmgeunntsapkeincgifiAedZTanotriHreAtrAoRvTir.al therapy, ART) and 171 had a CdiDff4esF+raiegmTnu-cprcOeeleefilsn3lth(ct4seohh5u1e.o56nwC%tcsDh)orftw4oh+≤neeirTce5c-lH0cgu0eeBslntcVleeocrlitionlynsufpg/enecmtotsDifLoi,ntn(hfsfiew,ov1euod1rmi((f4o6f5ee9f.rn%5we%nt)hat)skoawgimmneengprwoelAeteysgZrpeweTneersooretewycrepsHiuitevhcAiAcnAte,hgsResaufnTugnd.lelsynopongeteecynipwfioeeatydsrpegAefeedRrne(ToTnt)acy.ebpTsleh.e eEA2r)l.e(l9Fw%tihva)ee.s no
sOeqfutehnece1s6clcuhsrtoerniwc itHhBsVequinefneccetsiofnrosm, 11Bo(t6s9w%an)asaamndploetshewr eArefriscuanccceosusfnutrllieys.gOennoetygpeneodty(pTeabDle 2). Fivesseaqmuepnlceesh(4ad5.5a%T1)3w1NereimgmenuonteyepsecaDp,efimvueta(4ti5o.n5.%) were genotype A, and one was genotype E (9%). Figure 3 shows the clustering of the different genotypes with the genotype references. All the sequences
cluster with sequences from Botswana and other African countries. One genotype D sequence had a
T131N immune escape mutation.

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Table 2. HBV DNA levels at enrollment and delivery, and HBeAg status for the 16 women with chronic HBV infection (HBsAg-positive).

Participant Code HBV DNA at Enrollment (IU/L) HBV DNA at Delivery (IU/L) HBeAg at Delivery

HIV Status

ART Regimen Genotype

TAM 1 TAM 2 TAM 5 TAM 6 TAM 7 TAM 8 TAM 9 TAM 10 TAM 11 TAM 12 TAM 13 TAM 14 TAM 15 TAM 16 TAM 17 TAM 18

NT NT 8710 <20 <20 >1.70 × 108 >1.70 × 108 >1.70 × 108 170 NT NT 25 24.8 237 82 ND

ND ND ND ND 2250 >1.70 × 108 >1.70 × 108 >1.70 × 108 396 12,900 ND ND <20 ND 166 2300

NEG NEG NEG NEG NEG POS POS POS NT NT NT NEG NEG NEG NEG NT

POS POS POS POS POS NEG NEG NEG NEG POS POS POS POS POS POS POS

AZT AZT AZT CBV + NVP AZT NA NA NA NA AZT NVP ± TRU CBV + NVP ATR CBV + NVP AZT AZT

D A A A A D A D E D D NA NA NA NA NA

AZT: zidivodine; NA: not applicable; NT: not tested; ND: target not detected; HAART: highly active antiretroviral therapy. The women were on different HAART combinations, including Combivir (CBV) + Nevirapine (NVP) and Truvada (TRU) + Nevirapine, as well as Atripla (ATR) alone.). NEG: negative; POS: positive; TAM: participant unique code.

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A1-AY934769-Somalia A1-AK1-ARK11-A3R1K91A-73R1AA2-9161AB73-A-A2119BB-A7A171o-t2-A2A6B1sAB4-18AA02wAoY--1A1t8A14a-B31sB1-1A7n-61Bo7--A1watIF3B11a34DsAnBJ-31n614wd26a5QiYP1063a-4a9Ih0986n20il-n12i2a5008I-dp150i838nBp-160ai94dia-5n60N5-a-neN3e2gs-PlH-ephaapUaiSilldtianiolietpustepihhdnAAefrsriacbaEmirates

AA1A1A-A-11AAY--A1AYAA2-1Y2Y1K3-39-K3R9A332R312B484318712793AA961-69711S-76728-S-AAo-024-oSYSYu58-uB2ot9-o6AhBt3o3mhm-13Ao4ItA-sn2a7AtafAsw8rfd7lBl1riwiT8ica3iaia-0ac-DTaA-anS7TaQnA6TaMoa06auAMn272tzM0h86a0A-5nM0f2riaai-cClaaownigo

G-ABBB-GD0-6-A0A4BB0AF3A-3A05D1133-75A63A-0F1A-350-0F4JU-A8B-5AI36-JFn351nA07962J-d98i-1MH9t92A6F4eo--M27-6N9J91FdnJ-51a255F83Srae94a513Np60pAst5-69n-35aa6C3ai8H4-8a6ctn2-3nHea5H1-ea398HmsM3ai--4tC-Maii3e0tNai6ir-taCoim3iglo6aiee1mnrr2ioea-oNroniogneria B-D00330-Japan
B-AY518556-China C-XC7C-AC5E-6BA--CAH5E0J-6BE-7A4K-494F8BR9787r0E3e14003-E8n33D94393-c88JQ-57h80AQ-504PV--u0I66M9noi0sEe0--dlJ0aBEyt8-troXan0rn-2oatAn07pai4etnlBs59Teiam-saiw6-N1sqAnAiFF6a0iaaua-Mr46-XgXmne-57Se1a665inb9e146t7ni-6aiGn9e3a8gh-C-aaBonlrlauamzibl ia

A1T-KATRMAA173M2A9-A297F-A12JG9A9-2A-JQ0B2-AXEA41oA-4A1AH4t0U-67s6-A1697w7E-A5-1G-6Y-4aG99GY-Fn98T24Q7aQN951Qu334-233n953P333-i435s4L32o737i1-a5al916aR170t800n-v0u24M3d-4is4a-S776Uas8-o-ir-Bag-CtBuBiaenateehnilqgmlAgldguiuiaefuierumrimcomaon D-KR139748-Botswana TAM10
D4D-K3DF-A39DJ-2A3D32-4J4D6J413D-N613A2T1-616-BDAS769A-T-4oABD54-FTMuKA9T69B4r-ta3-Ah1RKA9M1G4n8A13M9cR1eM4f-8r8eI33ri8n1cm14189-ad35I2a473ina9-n6d3Iy7n-o7Id3nn-o5Bedn-sooBeinatssoeiwatssaiwanaana

DD1D5D-DDD-51511-D-D---JAJQJKQN1BFDN3CH621H716-D-1-8261561AA572A-9444YB77589AY609007F26720B95-4-9974414-90A-5--I7601M4-IYU-IT545n7Io1nzn9u4779dnn-bdr-idi097igdekUaiN-F7a9ikIoa-ne-ili3arcitXys4Eaatea7-rga5dnAayr6nSgtp5gtua8et-aneFtirsnanace D5-JN664915-India

D4D-K4DJ-F44DJ7-4DA60-89BD7K92D0-7F15KD4--731DJBU867-D9Qr7KD-77a-2DHD02DF9z3P-821aiA-22J6l2492A--it-979AJM1-9i-JBJ302NE-u5NI4N8204sn1U69t4-d649r16E6a-54i360a2K6t4l79i3h24-ae49V14-i69onT91e6492py3u8n-0a-i8aCnJ9e-6-Iai-znseI-InpuiEndnadeaditsalrinaaitaaolAnifaricanRepu D5-AB033558-Japan

Bayesian phylogenetic aFnigaulyrseis3.oBf aSyegseinane psehqyuloegnecneset(icinadnicaalytesdis boyf Spgaertniceipseaqnut ecnocdees ((iTnAdMicatneudmbbyepr)arctoicmippaanrtedcotdoe r(eTfAerMence sequences (indicated

ypes, accession number, nanudmcboeur)nctroymopfaorerdigtino)r.eHfeBreVncgeenseoqtyupeencAess(eiqnudeicnacteesd(bny=th5e) iarrseusbhgoewnontyinperse,da,cgceesnsoiotynpneuDmsbeeqr,uaenndces (n = 5) in blue, and ge

s (n = 1) in green.

country of origin). HBV genotype A sequences (n = 5) are shown in red, genotype D sequences (n = 5)

in blue, and genotype E sequences (n = 1) in green.

4. Discussion
In this study, we present the largest analysis of both chronic and occult HBV infection prevalence in HIV-infected and HIV-uninfected pregnant women in Botswana, a sub-Saharan African country with high prevalence of HIV and an intermediate prevalence of HBV. The chronic and occult HBV infection prevalence in the pregnant women was 2.1% and 6.6%, respectively, and there was no difference between the prevalence rates in the HIV-positive and HIV-negative participants. The median age of the pregnant women was 27 years, and age did not seem to be a risk factor for HBV infection as there was no difference in ages of the women with HBV versus those without HBV. However, a recent study in Uganda reported higher rates of new HBV infections among HIV-infected patients, which were drastically reduced by initiation of combination antiretroviral therapy (cART) [27]. Other studies in Botswana have reported similar prevalence rates, although these studies included only HIV-infected individuals [4,16]. Higher prevalence rates have been reported by others in the region, ranging from 6.9% to 11.6% [28–30].
Occult HBV infection prevalence reported in this study is lower than the findings by Ryan et al., who reported a prevalence of 26.5% in HIV-positive patients in Botswana at baseline [31]. Although the results of our study show a lower prevalence of occult HBV infection compared to the prevalence

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found by Ryan et al. in HIV-infected treatment-naïve patients, our results are comparable with those from the same study after the participants had initiated cART (1.5%) [31].
HIV-positive women with chronic HBV infection had lower HBV DNA levels compared to the HIV-negative women at both enrollment and delivery visits. Three out of four HIV-negative women had positive HBeAg results and high HBV DNA levels. High HBV DNA and HBV E antigen (HBeAg) positivity are risk factors for HBV vertical transmission; therefore, there is a likelihood of passing on the infection as these women are not taking any anti-HBV drugs [32]. HBsAg positivity and non-occult infection has been linked to vertical transmission [33,34]. These findings are concerning, as HBV is not part of the antenatal screening tests done in Botswana. However, the vaccination of all babies against HVB is a strategy that the Botswana Ministry of Health and Wellness implemented in the early 2000s. Infants are given the first dose at birth, the second at one month of age, and the last at two months of age, thereby decreasing the chance of these children developing chronic or occult HBV infection.
The low HBV DNA levels in the HIV-positive mothers could be a result of the cross-effect of the ART treatment that the women were receiving. In total, 75% of the women were taking ART drugs (HAART and AZT), and the remaining 25% did not have any documented ART, but had lower HBV DNA levels. Some of the HAART that these women were taking contain tenofovir (TDF), emtricitabine (FTC), and lamivudine (3TC), which have anti-HBV properties, and this could explain the low HBV DNA levels and HBeAg negativity in the HIV-positive individuals [35–37]. Tenofovir and lamivudine are used worldwide as first-line HBV treatments due to their high barrier to resistance and tolerability [38]. The “treat all” strategy was implemented in June 2016 in Botswana as per the handbook of the 2016 Botswana integrated HIV clinical care guidelines [39]. The first line “treat all” regimen contains Truvada (emtricitabine and tenofovir disoproxil fumarate) and dolutegravir (DTG). Thus, one would expect the rates of HBV and HIV transmission to decline in the coming years.
The prevalence of the occult-infected participants was 10.4% in participants with CD4+ T-cell counts of >500 cells/mL and 3.48% in participants with CD4+ T-cell counts of ≤500 cells/mL (Table 3). This is contrary to what other studies have found. Several studies have shown that occult HBV infection is more prevalent in HIV-positive people with lower CD4+ T-cell counts as opposed to people with high CD4+ T-cell counts [40,41]. The low prevalence of occult HBV infection in the group with CD4+ T-cell counts of <500 cells/mL could be due to the protective effect of HAART, which might reduce the HBV DNA to undetectable levels (viral suppression) [35]. A CD4+ T-cell count cutoff of 500 cells/mL was used. This was to compare “typically” healthy HIV-positive patients with those that are “unhealthy” and investigate associations with ART treatment and type of HBV infection [42,43]. This has also been supported by the INSIGHT START study group [44].
The genotypes detected in this study are similar to those reported by other studies in the region [4,45]. Genotype A is more prevalent in Southern Africa, followed by D and then E. Anderson et al. reported a higher proportion of genotype A compared to other genotypes [4]. Genotypes A, D, and E are not linked to high levels of HBV vertical transmission, as are genotypes B and C, which are associated with high HBV DNA levels and HBeAg positivity [46]. However, our results indicate that in some cases, pregnant women with HBV genotypes not traditionally associated with vertical transmission do have high HBV DNA levels, which put them at risk of transmitting HBV. The T131N mutation that was found from our study is found on the “a” determinant region of the surface gene [47]. Computational analysis has revealed that T131N substitutions led to an insertion of an “extra” α-helix in the “a” determinant region [47]. This has been associated with exacerbations of chronic infections and the rescue of virion secretions [48,49].

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Table 3. Prevalence of different HBV infections and antiretroviral therapy (ART) status amongst HIV-positive participants with low and high CD4+ T-cell counts.

CD4+ T-Cell Count (cells/mL)

Chronic HBV
infection (n = 382) a

Occult HBV
infection (n = 297) b

AZT (n = 267)

HAART (n = 267)

> 500 ≤ 500 p-value

3/129 (2.33%) 9/253 (3.56%)
0.511

10/96 (10.4%) 7/201 (3.48%)
0.01

78/96 (81.3%) 124/171 (72.5%)
0.110

15/96 (15.6%) 43/171 (25.1%)
0.07

a: number of participants with available CD4+ T-cell counts tested for chronic HBV infection, b: number of participants with available CD4+ T-cell counts tested for occult HBV infection, AZT: Zidovudine, HAART: Highly active antiretroviral therapy.

Despite the limited sample size and volumes used in this study, the study highlights the need for testing pregnant women for HBV and for those testing positive to check their HBV DNA levels. HBV-positive pregnant women with high HBV DNA levels need to be considered for further HBV prevention of mother to child transmission (PMTCT) measures, as proposed by Wilson et al. [50]. We could not confirm whether the samples that tested HBsAg-positive were acute or chronic infections; however, most HBV infections in sub-Saharan Africa are acquired in early childhood, and the assumption made here was that these were chronic infections [10,51,52].
Author Contributions: T.M. carried out the lab work, primary data analysis, and writing of the manuscript. B.K., G.M., and S.L. were involved in the setup, collection of samples, and record-keeping of the initial Tshipidi study. M.A. and A.N. carried out some of the lab work. J.L. was responsible for compiling data for analysis. P.K.T., W.T.C., S.M., and J.T.B. analyzed the data, which included the descriptive statistics and the analysis of genotypes. B.B.P., R.M.M., and M.E. edited the manuscript and completed it with contextual data. I.K. and M.L. supervised this work and gave suggestions on possible focus points for the work. S.G., as the corresponding author, developed the study and conducted analysis of the data and overall interpretation of the data. All authors were involved in editing this manuscript.
Funding: This research was funded by the Sub-Saharan African Network for TB/HIV Research Excellence (SANTHE), a DELTAS Africa Initiative grant number DEL-15-006. The DELTAS Africa Initiative is an independent funding scheme of the African Academy of Sciences (AAS)’s Alliance for Accelerating Excellence in Science in Africa (AESA) and is supported by the New Partnership for Africa’s Development Planning and Coordinating Agency (NEPAD Agency), with funding from the Wellcome Trust grant number 107752/Z/15/Z and the UK government. The views expressed in this publication are those of the author(s) and not necessarily those of the AAS, NEPAD Agency, Wellcome Trust, or the UK government. S.M. was supported by the Fogarty International Center and National Institute of Mental Health of the National Institutes of Health under Award Number D43 TW010543. The Tshipidi study was supported by a grant from the National Institute of Mental Health (RO1MH087344) and by the Oak Foundation, and funded by the National Institutes of Health (NIH). The funders had no role in the study design, data collection, decision to publish, or in the preparation of the manuscript.
Conflicts of Interest: The authors declare no conflicts of interest.
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